Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)
TopSpin NMR Data and Python Processing for Figures 1-3
Single-Scan Detection of Ligand-Binding using Hyperpolarization and Low-field Relaxation (Datasets)
Institut für Angewandte Materialien – Energiespeichersysteme (IAM-ESS), Karlsruher Institut für Technologie (KIT)
The dataset include the raw data and proceeded data as well as plotted Figures, which can be easily re-used.
Mg2+ Regulated Hydrated Vanadium Oxide Positive Electrode for Aqueous Mg-Ion Batteries
The code and data in this repository is linked to the research article: "High-Resolution Spatiotemporal Monitoring of Secondary Microseisms via Multi-Array Analysis, Gao, Y., Rietbrock, A., Tilmann, F., Dushi, E., Geophysical Journal International (2025, under revision) This data repository contains the following files and subdirectories: Beamforming: Hinet: Slowness_data_hourly: beampower data and backprojection distance_baz_slowness_*: distance and back azimuth from the global grid to the center of network assuming seismic phase, e.g. P or PKP Step1_beamforming_hourly.py: beamforming code for the cross-correlation data (data can be obtained on request) Step2_beamforming.ipynb: plot the beamforming from step1 Step3_backprojection.py: backprojection to generate distance_baz_slowness_* ANTICS (SCSN) Slowness_data_hourly: beampower data and backprojection distance_baz_slowness_*: distance and back azimuth from the global grid to the center of network assuming seismic phase, e.g. P or PKP Waveheight: https://data.marine.copernicus.eu/product/GLOBAL_ANALYSISFORECAST_WAV_001_027/services or !motuclient --motu https://nrt.cmems-du.eu/motu-web/Motu --service-id GLOBAL_ANALYSISFORECAST_WAV_001_027-TDS --product-id cmems_mod_glo_wav_anfc_0.083deg_PT3H-i --date-min 2022-11-18 00:00:00 --date-max 2022-11-1 WWIII: surface spectral density F_5_10s_glob: Equivalent force calculated using WMSAN https://github.com/lystom/WMSAN Summary_dailyplot_hourly_withwwiii3.py: plot the multi-array beamforming and compare with significant waveheight, surface spectral density, and P wave equivalent force on the ocean floor CCF: Is an empty dir but should store the cross-correlation data in ASDF format, due to the large size of dataset, the data could be obtained on request.
Workflow for multi-array beamforming in seismology to detect ocean microseism
Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
The dataset follows the directory structure MACHINE/MEASUREMENT/VALUES_PER_YEAR, with all files compressed in .csv.xz format for space-efficient storage. Each data file contains the columns WsDateTime and the corresponding MEASUREMENT values. The accompanying validation folder mirrors this structure and includes, for each dataset, a _stats.csv file summarizing statistical metrics (mean, standard deviation, and quantiles) and a _missing.csv file detailing missing data, gap lengths, and data availability.
This dataset comprises high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - as well as a photovoltaic system, recorded at a 5-second sampling rate over periods ranging from one to seven years. The measurements were collected at the Campus North of the Karlsruhe Institute of Technology and include detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency. This dataset provides a comprehensive basis for research on industrial energy analytics, power quality, and flexibility assessment.
SPARK: High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)
SPARK-Raw provides unprocessed, high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - and a photovoltaic system, recorded at a 5-second sampling rate over one to seven years. Collected at the Campus North of the Karlsruhe Institute of Technology, the dataset includes detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency. In contrast to the curated and quality-checked SPARK dataset, SPARK-Raw contains the original, unfiltered measurements in their full temporal and structural detail, offering a transparent foundation for data cleaning, preprocessing, and validation in industrial energy analytics research.
The dataset follows the directory structure MACHINE/MEASUREMENT/VALUES_PER_YEAR, with all files compressed in .csv.xz format for space-efficient storage.
SPARK-Raw: Unprocessed High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe
Okinawa Institute of Science and Technology Graduate University(OIST)
Processed micro-tomographic scan of the ant Camponotus sexpunctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium weitzeckeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is a data publication hosted by the research data repository RADAR.
chemical composition analysis, electron microscopy, high spatial resolution, layer-by-layer growth, surface-anchored metal–organic frameworks, zeolitic imidazolate framework-8
Production Data for Publication: Direct Synthesis of ZIF‐8 on Transmission Electron Microscopy Grids Allows Structure Analysis and 3D Reconstruction
Processed micro-tomographic scan of the ant Nylanderia jaegerskioeldi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis wolfi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This file contains the data used for the paper "The application of mean averaging kernels to mean trace gas distributions" by Thomas von Clarmann and Norbert Glatthor, ACP, 2019.
Please read the Readme-file in the tar archive.
MIPAS HCN and O$_3$ data used to study the effect of mean averaging kernels
Processed micro-tomographic scan of the ant Nylanderia OK02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Synchrotron X-ray microtomographic data of the fossil insect Protodeuterophlebia oosterbroeki preserved in Burmese amber (described in Krzemińska et al. 2024). To create this dataset, four tomograms were merged into a single volume, converted to 8 bits, and the gray values were inverted.
Micro-CT data of Protodeuterophlebia oosterbroeki
Bundesministerium für Verkehr, Bau‐ und Stadtentwicklung
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.0813/2007 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2000 - 2009
Processed micro-tomographic scan of the ant Pheidole megacephala, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Derived from IMK/IAA MIPAS/Envisat monthly mean trace gas fields using the ANCISTRUS direct inversion method (von Clarmann & Grabowski, 2016, 2021), this dataset provides effective meridional and vertical transport velocities and eddy diffusion coefficients in the middle atmosphere. Effective velocities include advection and mixing effects and are not equivalent to TEM residual circulation velocities. Uncertainties are represented as standard deviations derived from the variance estimates output by ANCISTRUS.
KIT ANCISTRUS MIPAS L3 effective transport velocities dataset, v1.0
Institut für Photogrammetrie und Fernerkundung
The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Machine and Deep Learning". The original dataset, which our version of the dataset is based on, can be found here: https://zenodo.org/record/4453599
Dataset for the Segmentation of Industrial Burner Flames
Processed micro-tomographic scan of the ant Formicoxenus nitidulus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)
This dataset contains process data from milling operations performed on a three-axis milling machine (CMX 600V, DMG Mori), complementing DOI:10.35097/hvvwn1kfwf7qt48z. To reflect the diversity and variability of real-world milling scenarios, the dataset includes components, tools and machining strategies that are relevant to the industry. A total of 54 milling experiments are included. To support reproducibility and benchmarking applications, the dataset includes NC programs, labelled pictures, and detailed documentation. During processing, signals were acquired from the Siemens SINUMERIK 840D CNC system via the SINUMERIK Edge app 'Analyse MyWorkpiece/Capture', which enables the export of high-frequency data at 500 Hz in JSON format (.json). Additionally, force and acceleration data recorded by external sensors is provided in MATLAB format (.mat). Each experiment also includes a combined MATLAB file in which all recorded signals are synchronized.
This dataset contains process data from milling operations performed on a three-axis milling machine (CMX 600V, DMG Mori) and is complementary to DOI:10.35097/hvvwn1kfwf7qt48z. The data was collected in a controlled laboratory setting using industrially relevant components, tools, and machining strategies to reflect the diversity and variability of practical milling scenarios. Process signals from the machine controller were recorded using a Siemens Industrial Edge device at a sampling rate of 500 Hz. Additional high-frequency force and acceleration data were measured using a force platform (Kistler Type Z 3393) and a spindle-mounted acceleration sensor (PCB Type 356A33). The analog signals were amplified via a charge amplifier (Kistler Type 5015A1000 K) and acquired using a Data Translation DT9836 data acquisition card at 10 kHz. Raw data from the force and acceleration sensors are provided as MATLAB timetable files (.mat). The process signals from the Siemens Industrial Edge are stored in JSON format (.json). In addition, each experiment includes a consolidated MATLAB file in which all available signals (Edge and sensor data) are temporally aligned and stored as a single timetable object. To achieve this, the 500 Hz Edge signals were interpolated using the PCHIP method (Piecewise Cubic Hermite Interpolating Polynomial) to match the 10 kHz resolution of the sensor data. This unified file enables direct signal comparison across all sources and simplifies further analysis. In total, 54 milling experiments are included. NC programs, labeled pictures, and detailed documentation are provided to support benchmarking applications. -------------------------------------------------------------------------------------------------------------------------- Documents: - Dataset: All data files organized by component type and trial ID - Descriptive: Design of Experiment, NC programs executed during the experiments (G-code), labeled pictures organized by component type and tools Experimental Setup: - Machines: CMX 600V (3-axis milling center) - Materials: S235JR (unalloyed structural steel), Al2007 T4 (aluminum alloy), POM-C (polyoxymethylene copolymer) - Cutting Tools: - HSS-Co8 end mill (TiAlN coating, Ø 5 mm, k10 tolerance) - Solid carbide end mill (TiSi coating, Ø 10 mm, f8 tolerance) - Solid carbide end mill (uncoated, Ø 5 mm, e8 tolerance) - Workspace blank dimensions: 150x75x50mm
Der vorliegende Datensatz enthält Prozessdaten, die auf einer dreiachs Fräsmaschine (CMX 600V, DMG Mori) durchgeführt wurden, und ergänzt DOI:10.35097/hvvwn1kfwf7qt48z. Um die Vielfalt und Variabilität realer Fräsbearbeitungen widerzuspiegeln, wurden industrierelevante Bauteile, Werkzeuge und Bearbeitungsstrategien angewendet. Insgesamt sind 54 Fräsversuche enthalten. Um eine Reproduzierbarkeit und Benchmarking-Anwendungen zu ermöglichen, umfasst der Datensatz NC-Programme, beschriftete Bilder und eine detaillierte Dokumentation. Während der Bearbeitung wurden die Signale der SINUMERIK 840D Steuerung über die SINUMERIK Edge App „Analyse MyWorkpiece/Capture” erfasst. Diese ermöglicht einen Datenexport mit 500 Hz im JSON-Format (.json). Zusätzlich werden die von externen Sensoren aufgezeichneten Kraft- und Beschleunigungsdaten im MATLAB-Dateiformat (.mat) bereitgestellt. Jeder Versuch umfasst zudem eine MATLAB-Datei, in der alle aufgezeichneten Signale synchron abgespeichert sind.
A Multimodal Dataset 2 for Process Monitoring and Anomaly Detection in Industrial CNC Milling
Processed micro-tomographic scan of the ant Solenopsis jacoti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Strömungsmechanik (ISTM), Karlsruher Institut für Technologie (KIT)
This dataset consists of raw and processed images obtained in droplet impingement experiments in a shadowgraphy method with additional color-coded glare points. The raw images are saved in the uncompressed file format .tif and processed images are saved as .png.
The present work introduces a deep learning approach for the three-dimensional reconstruction of the spatio-temporal dynamics of the gas-liquid interface on the basis of monocular images obtained via optical measurement techniques. The method is tested an evaluated at the example of liquid droplets impacting on structured solid substrates. The droplet dynamics are captured through high-speed imaging in an extended shadowgraphy setup with additional glare points from lateral light sources that encode further three-dimensional information of the gas-liquid interface in the images. A neural network is trained for the physically correct reconstruction of the droplet dynamics on a labelled dataset generated by synthetic image rendering on the basis of gas-liquid interface shapes obtained from direct numerical simulation. The employment of synthetic image rendering allows for the efficient generation of training data and circumvents the introduction of errors resulting from the inherent discrepancy of the droplet shapes between experiment and simulation. The accurate reconstruction of the three-dimensional shape of the gas-liquid interface during droplet impingement on the basis of images obtained in the experiment demonstrates the practicality of the presented approach. The introduction of glare points from lateral light sources in the experiments is shown to improve the reconstruction accuracy, which indicates that the neural network learns to leverage the additional three-dimensional information encoded in the images for a more accurate depth estimation. By the successful reconstruction of obscured areas in the input images, it is demonstrated that the neural network has the capability to learn a physically correct interpolation of missing data from the numerical simulation. Furthermore, the physically reasonable reconstruction of unknown gas-liquid interface shapes for drop impact regimes that were not contained in the training dataset indicates that the neural network learned a versatile model of the involved two-phase flow phenomena during droplet impingement.
Spatio-temporal reconstruction of droplet impingement dynamics by means of color-coded glare points and deep learning
Processed micro-tomographic scan of the ant Euponera brunoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium floricola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research
The data files are packed, consisting of 8 NC-files, and then compressed using xz
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 6)
Processed micro-tomographic scan of the ant Myopopone castanea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Wasser und Gewässerentwicklung
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V4 (videos)
Processed micro-tomographic scan of the ant Strumigenys petiolata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma melanocephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma cf melanocephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis invicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera opacior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys peuqueti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyergus samurai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In silico experiments to study the sinoatrial node characteristics. The experiment script is able to modify several electrophysiological parameters using as an input a vtk file.
European High-Performance Computing Joint Undertaking EuroHPC (JU)
In Silico Characterization of the Sinoatrial Node (v1.0)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 17)
Processed micro-tomographic scan of the ant Acropyga sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica fukaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie (KIT)
Replication data for: Robotic Wiring Harness Bin Picking Solution using a Deep-Learning-based Spline Prediction and a Multi-Stereo Camera Setup
Notice: Internally, the cameras 1, 2 and 3 are called 4, 5 and 6 respectively in this dataset. - intrinsic_calibration_patterns/: Patterns used during intrinsic calibration displayed on the calibration monitor - intrinsic_calibration/: Recordings from each camera of the clibration monitor - extrinsic_calibration/: - pose#.json: Robot poses during the extrinsic calibration - pose#/: Recordings from each camera during extrinsic calibration - validation/: Validation data - pose#: Recordings from each camera during validation
Replication Data for: SCAP2024 Robotic Wiring Harness Bin Picking - Camera Calibration
Processed micro-tomographic scan of the ant Ectatomma edentatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Harpegnathos venator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius spathepus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eburopone afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Interviews on the role of repositories for archiving and providing research data at Karlsruhe Institute of Technology (KIT)
Karlsruher Institut für Technologie (KIT)
4 interviews in total: interview 1+2 are added here, interview 3 remains unpublished by the interviewee's request, interview 4 wasn't recorded
Interviews zur Rolle von Repositorien für die Archivierung und Bereitstellung von Forschungsdaten am Karlsruher Institut für Technologie (KIT)
Processed micro-tomographic scan of the ant Crematogaster teranishii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys diminuta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex cf diana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara afrc-gh04, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster trinacriae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus japonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Motor Research Data Repository Karlsruhe Institut für Technologie
Seit 2012 werden die beiden Testbatterien KITT+ 3-10 und DMT 6-18 in Baden-Württemberg in Kooperation zwischen KIT und Kinderturnstiftung Baden-Württemberg durchgeführt. Die Testdurchführung findet durch geschulte LehrerInnen, ErzieherInnen und ÜbungsleiterInnen statt, die ausgebildet und wissenschaftlich begleitet werden. Bei den Testaufgaben handelt es sich um die Durchführungsvarianten, die im User-Manual von MO|REdata beschrieben sind. Die Rohwerte in den einzelnen Testaufgaben werden in alters- und geschlechtsspezifische Referenzperzentile der bundesweiten, repräsentativen MoMo- Stichprobe eingeordnet.
Motor Research Data Repository, Karlsruhe Institute of Technology
Finkernagel , Florian (Universität Marburg)
Schmidt, Kerstin (Universität Göttingen)
Eine genaue Beschreibung der Generierung und Auswertung der Daten befindet sich im Methodenteil der Dissertation
Rohdaten der LC-MS, RNA-Seq und ChIP-Seq Experimente sowie weitere Auswertungen in tabellarischer Form
Processed micro-tomographic scan of the ant Anoplolepis steingroeveri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax nylanderi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT), Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
Raw data relevant for the publication: "Novel and more facile synthesis of highly dispersed iron in small-pore zeolites by ion exchange for catalytic applications"
Novel and more facile synthesis of highly dispersed iron in small-pore zeolites by ion exchange for catalytic applications - raw data
Processed micro-tomographic scan of the ant Gesomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rhopalomastix OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera scabra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium polymorphum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis truncatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina sicula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)
M10-M20 bolted joints were tightened using an impact wrench with two power levels and different sockets. The progression of preload, head and thread friction torque was measured at high frequency and analysed. In post-processing, the progression of the coefficients of thread and head friction was calculated for each impact of the impact wrench.
M10-M20 Schraubenverbindungen wurden mit einem Schlagschrauber auf 2 Stufen mit mehreren Nüssen schlagend angezogen. Die Verläufe von Vorspannkraft, Kopf- und Gewindereibmoment wurden hochfrequent gemessen und im Verlauf analysiert. Im Post-Processing wurde der Verlauf der Gewinde- und Kopfreibungszahlen für jeden Schlag des Schlagschraubers berechnet.
Die Daten wurden aufgezeichnet und anschließend gefiltert. Aus den gefilterten Versuchsdaten der Vorspannkraft und der Kopf- und Gewindemomente wurde für jeden einzelnen Schlag ein Kopf- und Gewindereibungszahl berechnet. Für eine bessere Übersichtlichkeit wurde zusätzlich eine Tabelle mit Vorspannkräften und Reibungszahlen bei spezifischen Vorspannkraftniveaus erstellt.
Measurement data of impact tightening process of M10-20 bolted joints
Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
This document contains methodology and result of process simulations and techno-economic assessments of the Fischer-Tropsch crude and methanol production
Results of process simulation and techno-economic assessment of the Fischer-Tropsch and methanol synthesis
Processed micro-tomographic scan of the ant Azteca sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera greadowi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Medicinal Chemistry,
Karlsruhe Institute of Technology, Institute of Functional Interfaces
Karlsruhe Institute of Technology, Karlsruhe Nano Micro Facility (KNMFi), Institute for Applied Materials - Energy Storage Systems (IAM-ESS)
Max Delbruck Center for Molecular Medicine in the Helmholtz Association, Proteome Dynamics Lab
Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Medicinal Chemistry
Karlsruhe Institute of Technology, Karlsruhe Nano Micro Facility (KNMFi), Institute of Functional Interfaces
photoaffinity labeling, drug discovery, proteomics, natural products, microarrays, secondary ion mass spectrometry
Compound interaction screen on a cellulose membrane identifies drug targets
Karlsruhe Institute of Technology, Karlsruhe Nano Micro Facility
Processed micro-tomographic scan of the ant Messor decipiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Allomerus decemarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Herein, the electrochemical properties and reaction mechanism of Li3-2xCaxV2(PO4)3/C (x = 0, 0.5, 1, and 1.5) as negative electrode materials for sodium-ion/potassium-ion batteries (SIBs/PIBs) are investigated. All samples undergo a mixed contribution of diffusion-controlled and pseudocapacitive-type processes in SIBs and PIBs via Trasatti Differentiation Method, while the latter increases with Ca content increase. Among them, Li3V2(PO4)3/C exhibits the highest reversible capacity in SIBs and PIBs, while Ca1.5V2(PO4)3/C shows the best rate performance with a capacity retention of 46% at 20 C in SIBs and 47% at 10 C in PIBs. This study demonstrates that the specific capacity of this type of material in SIBs and PIBs does not increase with the Ca-content as previously observed in lithium-ion system, but the stability and performance at a high C-rate can be improved by replacing Li+ with Ca2+. This indicates that insertion of different monovalent cations (Na+/K+) can strongly influence the redox reaction and structure evolution of the host materials, due to the larger ion size of Na+ and K+ and their different kinetic properties with respect to Li+. Furthermore, the working mechanism of both LVP/C and Ca1.5V2(PO4)3/C in SIBs are elucidated via in operando synchrotron diffraction and in operando X-ray absorption spectroscopy.
Electrochemical Investigation of Calcium Substituted Monoclinic Li3V2(PO4)3 Negative Electrode Materials for Sodium- and Potassium-Ion Batteries
Processed micro-tomographic scan of the ant Acropyga goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 4)
Processed micro-tomographic scan of the ant Neivamyrmex aff pacificus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma nigerrimum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica japonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole capellinii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax ravouxi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Mymaridae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
"Testprofil zur Erfassung spezieller sportmotorischer Eigenschaften der Felskletterer" in Sportwissenschaft,17 (1987), 4 , S. 423-438.An 56 Felskletterern wurden insgesamt 21 sportmotorische Tests zur Erfassung des sportmotorischen Eigenschaftsniveaus durchgefuehrt. Leistungsrelevanz darf den in den Tests Klimmzuege, Beugestuetze, Seitgraetschen, Beinspreizen vorwaerts, Rumpfbeugen vorwaerts, Beidbeiniges Stehen auf dem Rollbrett, Beidarmiges Haengen, Einarmiges Haengen und Einarmiger Beugehang geprueften motorischen Eigenschaften zugesprochen. Faktorenanalytisch liegen den leistungsrelevanten Merkmalen die Eigenschaften Gelenkigkeit in Hueftgelenk und Lendenwirbelsaeule, Kraft der Finger- und Armbeuger sowie Kraft der Armstrecker zugrunde. Testbatterien, die bis zu 50 der Varianz der Kletterleistung erklaeren, werden vorgestellt.
Testprofil Erfassung sportmotorischer Eigenschaften von Felskletterern
Eine Auflistung und Beschreibung der Daten befindet sich im Anhang unter 6.1. Die Generierung und Auswertung der Daten befindet sich im Methodenteil der Dissertation "Die Charakterisierung des Transkriptionsfaktors Hdp2 und dessen Rolle in der biotrophen Phase von Ustilago maydis"
Digitale Datensätze der Dissertation "Die Charakterisierung des Transkriptionsfaktors Hdp2 und dessen Rolle in der biotrophen Phase von $\textit{Ustilago maydis}$"
Processed micro-tomographic scan of the ant Oecophylla smaragdina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta subtilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
For decades, scanning/transmission electron microscopy (S/TEM) techniques have been employed to analyze shear bands in metallic glasses and understand their formation in order to improve the mechanical properties of metallic glasses. However, due to a lack of direct information in reciprocal space, conventional S/TEM cannot characterize the local strain and atomic structure of amorphous materials, which are key to describe the deformation of glasses. For this work, we applied 4-dimensional STEM to map and directly correlate the local strain and the atomic structure at the nanometer scale in deformed metallic glasses. We observe residual strain fields with quadrupolar symmetry concentrated at dilated Eshelby inclusions. The strain fields percolate in a vortex-like manner building up the shear band. This provides a new understanding of the formation of shear bands in metallic glass.
The data format is DM4 (Gatan Microscopy Suite Software) and processed by lab-written Matlab code. 4D-STEM measurements were conducted using a Themis Z double-corrected TEM (Thermofisher Scientific) operated at 300 kV in microprobe STEM mode with spot size 6 and a semi-convergence angle of 0.26 mrad giving rise to a diffraction-limited probe size of ~5 nm. 4D-STEM records local 2D diffraction patterns over a 2D array of probe positions by stepwise scanning of the probe. The method is called 4D-STEM referring to its typical 4D dataset (2D diffraction pattern on a 2D array of the sample). We used a OneView camera (Gatan Inc.) with a camera length of 1.15 m to record the diffraction patterns. This camera length was chosen to capture the first diffuse diffraction ring with a sufficient diameter on the camera to enhance the sensitivity for measuring distortions. The 2nd diffuse diffraction ring was also included. This preserves the capability for PDF analysis. 4D-STEM maps were acquired with a step size of 5.8 nm and a frame size of 900×500 pixels for the Fe85.2Si0.5B9.5P4Cu0.8 metallic glass ribbon and a step size of 9.7 nm and a frame size of 350×270 pixels for the Zr46Cu38Al8Ag8 bulk metallic glass with an exposure time of 3.3 ms per frame (frame rate of ~300 f/s). The diffraction pattern of a typical amorphous material shows a diffuse ring pattern (Figure 1a). As described in previous works [23-24, 27], the local stress in the metallic glass induces a structural anisotropy, which results in an elliptic distortion of the diffraction ring leading to a deviation from the ideal circle as illustrated in Figure 1b (the diffraction pattern was artificially elongated for easy presentation). Therefore, the strain can be mapped by determining the ellipticity of the diffraction ring in each local diffraction pattern of the 4D-STEM dataset. Different from high-resolution (HR)TEM-based strain mapping methods such as geometric phase analysis (GPA), which analyzes real space atomic lattice displacements [49], the strain measurement used here analyzes the diffraction ring in the 4D-STEM data. It thus enables the capability to measure strain for amorphous materials and a large field of view (up to micrometers).
Direct observation of quadrupolar strain fields surrounding Eshelby inclusions in metallic glasses
The repository contains the results of structural drill core investigations with particular consideration of stress-induced features. The cores have been assembled and labelled and reference lines have been introduced. All structural information refers to these lines. We have distinguished between induced and natural open and filled fractures, stylolithes and bedding.
Bundesministerium für Bildung und Forschung
DAMAST-KIT-Spartak: Structural Core Analysis
Institut für Nanotechnologie, Technische Universität Darmstadt
Institut für Nanotechnologie, Karlsruhe Nano Micro Facility
The data can be opened and processed through Velox and DigitalMicrograph.
The Impact of Microstructure on the Filament Growth at the Sodium Metal Anode in All Solid-State Sodium Batteries
Processed micro-tomographic scan of the ant Myrmicaria opaciventris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys triangularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus quadripunctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT)
Data of the magnetization, anomalous Hall effect, and anomalous Nernst effect measured on a Mn5Si3 single crystal.
Anomalous Nernst effect in the noncollinear antiferromagnet Mn5Si3
Technische Universität Braunschweig (TU Braunschweig)
Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
Numerical details: The model was implemented and performed using MATLAB R2022b. Data set: A csv file exists for each figure and subfigure. There is always a single file for each Li2S microstructure, which contains the name of the corresponding figure. The extensive Figure 6, also contains the details of the concentration and the interfacial difference parameter.
Insight into the impact of electrolyte on passivation of Lithium-Sulfur cathodes
This dataset contains raw data and processing results as supplement to Kufner et al, submitted 2022 to GRL: The devastating 2022 M6.2 Afghanistan earthquake: challenges, processes and implications
Data can be used for InSAR processing or for seismological source inversion. Furthermore, 'results' data can be used for post-processing and the creation of plots and maps.
Supplement data for Kufner et al. (submitted 2022): The devastating 2022 M6.2 Afghanistan earthquake: challenges, processes and implications
Processed micro-tomographic scan of the ant Messor aciculatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Heteroponera dolon, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V3 (videos)
Processed micro-tomographic scan of the ant Tetramorium FHG046, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The main objective of design for manufacturing (DfM) is to ensure and simplify the manufacturing of products and reduce manufacturing costs. The problem is, that it remains unclear, which challenges and difficulties are most frequently encountered when considering the manufacturing process during the design phase. Only few studies have objectively investigated the influence of a restrictive method on the design results. The aim of this research is to investigate the effect of restrictive method on manufacturability and the manufacturing effort of the design outcome for design engineers and students. Design engineers as well as students designed and selected concepts with a high manufacturing effort. Successful approaches were those, which designed concepts completely without welding joints by cleverly redesigning the design and still fulfil the function. Hence, we present successful approaches as an opportunistic method in DfM, which can be transferred to further manufacturing processes.
These information should support you in interacting with the file. 1) Use a pdf compatible software to open the file 2) The pdf is designed as interactive with buttons. No need to scroll. 3) The structure and links in the file are carefully designed 4) To open the videos in the file a flash player could be useful. 5) Please do not hesitate to contact us if problems occur: markus.doellken@kit.edu The authors would like to express their appreciation to all of those without whom this research would not have been possible. Special thanks go to TRUMPF GmbH + Co KG, Ditzingen, Germany, for their support and funding of this project. The authors also wish to thank Dipl.-Ing. Jörg Heusel and Mr. Thomas Bronnhuber for their valuable technical support to this project, and especially M.Sc. Jonas Steiling for his patient guidance, for the many discussions on the content-related tasks, and for his help in collecting the data. The research reported in this article was carried out with the agreement of all participants.
Restrictive and Opportunistic Method in Design for Manufacturing
Processed micro-tomographic scan of the ant Mycetosoritis hartmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetophylax morschi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex echinatior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudolasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Philidris sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicocrypta uncinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium simillimum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica lemani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Datensatz zu der Publikation "Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide". DOI: 10.3390/nano11123219
Dataset to the publication 'Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide'
Institut für Fahrzeugsystemtechnik, Schaeffler Hub for Advanced Research am KIT
This dataset includes the simulation model of the demonstrator vehicle "elf++" for vehicle dynamics simulation in CarMaker. The demonstrator vehicle was developed in the research project e²-Lenk at the Institute of Vehicle System Technology (FAST) and at Schaeffler Hub for Advanced Research at KIT (SHARE at KIT) and subsequently used in the projects SmartLoad and FLOOW. The CarMaker model includes the vehicle geometry, the chassis kinematics, the powertrain, and the tire model, supplemented by the modeling of the steering system, the localization module, and the longitudinal and lateral dynamics control in MATLAB-Simulink. Other modules such as vehicle guidance controllers can be added to the Simulink model. The modeling status corresponds to the vehicle state at the end of the SmartLoad project.
# Vehicle Dynamics Model of Demonstrator Vehicle "elf++" English version see below. ## Einleitung Dies ist ein Fahrdynamik-Simulationsmodell für das Demonstratorfahrzeug „elf++“, das mit CarMaker 8.0 und Matlab 2018b kompatibel ist. Das CarMaker-Projekt umfasst das Fahrzeugmodell *Demonstrator_vehicle_ELFpp* und den Testrun *Test_Runs_DrivingDynamicsArea*. Das Modell ermöglicht die Simulation von Fahrmanövern durch Vorgabe des zeitlichen Verlaufs von Lenkradwinkel und Geschwindigkeit. Weitere Funktionalitäten können im Simulink-Modell modular ergänzt und angepasst werden. Beispielhaft wurde ihm Rahmen folgender Veröffentlichung ein Fahrzeugführungsregler in das Modell integriert: [Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034). Bei dem Demonstratorfahrzeug „elf++“ handelt es sich um ein Fahrzeug im Maßstab 1:1,5, das über eine Ackermannlenkung mit redundant verbautem Lenkaktor und radselektive Antriebe an der gelenkten Vorderachse verfügt. ## Aufbau des integrierten Simulink-Modells *Demonstrator_vehicle_ELFpp* ### *Vehicle_Control* Dieser Block umfasst die Funktionen der Fahrzeugregelung von der Sollwertvorgabe bis zur Ausgabe der Aktorstellgrößen. - #### *Target* Vorgabe des Lenkradwinkelverlaufs in rad und der Geschwindigkeit in m/s des zu fahrenden Manövers. - #### *Steering_controller* Lenkradwinkelregelung zur Vorgabe des Gesamtlenkmomentes. - #### *Steering_Actuator_Allocation* Aufteilung des Gesamtlenkmomentes auf die redundant verbauten Lenkaktoren. - #### *Velocity_controller* Geschwindigkeitsregelung zur Vorgabe des Gesamtantriebsmomentes. - #### *Driving_Actuator_Allocation* Aufteilung des Gesamtantriebsmomentes auf die radindividuellen Antriebe der Vorderachse. ### *CarMaker* Dieser Block stellt die Schnittstelle zu CarMaker dar. Die Aktorstellgrößen, die die Regler vorgeben, werden im *Torque_Limiter* den physikalischen Limits entsprechend beschränkt. Weitere Modifikationen gegenüber der CarMaker-Vorlage betreffen die Modellierung des Lenksystems. Ausgehend von den Aktormomenten und den Spurstangenkräften wird mittels eines 2DOF Modells die resultierende Lenkbewegung berechnet. ### *Localization* Zur Abbildung des auf dem Fahrzeug verbauten GNSS RTK Systems werden in diesem Block die Positionsmessgrößen in ihrer Frequenz reduziert. ## Parameter und Einstellungen ### *sim_settings.m* Mit den Vorgaben in dieser Dateikönnen die Dauer des Simulationsdurchlaufes, sowie die Parameter des Modells angepasst werden, die die Einstelllungen der Regler und die fahrdynamischen Grenzen des Manövers betreffen. ### *init_parameter* in Ordner *vehicle_control_data* Diese Datei definiert Konstanten und enthält fahrzeugspezifische Parameter. ## Verwendung Um dieses Simulationsmodell zu verwenden, öffnen Sie das Simulink-Modell *Demonstrator_vehicle_ELFpp* und starten daraus CarMaker durch Klicken auf das CarMaker Symbol. In CarMaker öffnen Sie den Testrun *Test_Runs_DrivingDynamicsArea*. Definieren Sie dann die Fahrmanöver im *Target* Block, indem Sie den zeitlichen Verlauf von Lenkradwinkel und Geschwindigkeit angeben. Starten Sie die Simulation über die CarMaker GUI. ## English version: ## Introduction This is a driving dynamics simulation model for the demonstrator vehicle “elf++” compatible with CarMaker 8.0 and Matlab 2018b. The CarMaker project includes the vehicle model *Demonstrator_vehicle_ELFpp* and the test run *Test_Runs_DrivingDynamicsArea*. The model supports the simulation of driving maneuvers by specifying the course of the steering wheel angle and velocity. Further functionalities can be added and adapted modularly in the Simulink model. For example, a vehicle guidance controller was integrated into the model as part of the following publication: [Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034). The demonstrator vehicle “elf++” is a vehicle on a scale of 1:1.5 that has Ackermann steering with a redundantly installed steering actuator and wheel-selective drives on the steered front axle. ## Structure of the integrated simulink model *Demonstrator_vehicle_ELFpp* ### *Vehicle_Control* This block includes the functions of the vehicle control from the setpoint specification to the output of the actuator target values. - #### *Target* Specification of the steering wheel angle course in rad and the speed in m/s of the maneuver to be driven. - #### *Steering_controller* Steering wheel angle control that outputs the total steering torque. - #### *Steering_Actuator_Allocation* Allocation of the total steering torque to the redundantly installed steering actuators. - #### *Velocity_controller* Velocity control that outputs the total drive torque. - #### *Driving_Actuator_Allocation* Allocation of the total drive torque to the individual wheel drives of the front axle. ### *CarMaker* This block represents the interface to CarMaker. The actuator target values which the controllers specify are limited in the *Torque_Limiter* according to their physical limits. Further modifications compared to the CarMaker template concern the modeling of the steering system. Starting from the actuator torques and the tie rod forces, the resulting steering movement is calculated by means of a 2DOF model. ### *Localization* To represent the GNSS RTK system installed on the vehicle, the frequency of the position measurement variables is reduced in this block. ## Parameter and Settings #### *sim_settings.m* In this file, the duration of the simulation run can be adjusted, as well as the parameters of the model, which affect the settings of the controllers and the driving dynamic limits of the maneuver input. #### *init_parameter* in Ordner *vehicle_control_data* This file contains constants and parameters specific to the vehicle. ## Usage To use this simulation model, open the Simulink model *Demonstrator_vehicle_ELFpp* and start CarMaker from it by clicking on the CarMaker icon. In CarMaker, open the test run *Test_Runs_DrivingDynamicsArea*. Then define the driving maneuvers in the *Target* block by specifying the course of steering wheel angle and velocity. Start the simulation via the CarMaker GUI.
Dieser Datensatz enthält das Simulationsmodell des Demonstratorfahrzeugs "elf++" für die Fahrdynamiksimulation in CarMaker. Das Demonstratorfahrzeug wurde im Forschungsprojekt e²-Lenk am Institut für Fahrzeugsystemtechnik (FAST) und am Schaeffler Hub for Advanced Research am KIT (SHARE am KIT) entwickelt und anschließend in den Projekten SmartLoad und FLOOW eingesetzt. Die Modellierung in CarMaker umfasst die Fahrzeuggeometrie, die Fahrwerkskinematik, den Antriebsstrang und das Reifenmodell, ergänzt um die Modellierung des Lenksystems, des Lokalisierungsmoduls und der Längs- und Querdynamikregelung in MATLAB-Simulink. Das Simulink-Modell kann um weitere Module wie z.B. einen Fahrzeugführungsregler ergänzt werden. Der Modellierungsstand entspricht dem Fahrzeugzustand zum Ende des Projektes SmartLoad.
Vehicle Dynamics Model of Demonstrator Vehicle "elf++"
Processed micro-tomographic scan of the ant Tetramorium sericeiventre, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The wbk Industrial Assembly Task Board is a modular benchmark designed to evaluate robotic assembly systems. Developed by the wbk Institute of Production Science at KIT (Karlsruhe Institute of Technology), this task board provides a diverse set of tasks that simulate real-world industrial challenges. It includes modules for peg-in-hole tasks, pick-and-place operations, gear assembly, screws and nuts handling, and elastic deformation tasks. Features: - Modular design for customizable benchmarks. - 3D-printable components for easy replication. - Comprehensive documentation for setup and evaluation. - Designed to test precision, adaptability, and advanced planning in robotic systems.
The wbk Industrial Assembly Task Board is a modular benchmark designed to address the complexities of robotic assembly tasks beyond the traditional "peg-in-hole" paradigm. This task board provides a diverse set of challenges that simulate real-world industrial assembly scenarios. Each module is tailored to test specific assembly complexities, including precision insertion, compliant assembly, and advanced planning for multi-part interactions. The modular design enables researchers to mix and match tasks, allowing for customized benchmarks that address specific research questions. All components are 3D-printable, ensuring accessibility and reproducibility across the robotics community. This paper presents the design rationale, task descriptions, and evaluation criteria for the task board, along with instructions on how to build the board yourself.
Das wbk Industrial Assembly Task Board ist ein modularer Benchmark, der entwickelt wurde, um die Komplexität von Roboter-Montageaufgaben abzubilden, die über das traditionelle „Peg-in-Hole”-Paradigma hinausgehen. Das Task Board bietet eine Vielzahl von Herausforderungen, die reale industrielle Montageszenarien simulieren. Jedes Modul ist auf die Prüfung spezifischer Komplexitäten der Montage zugeschnitten, darunter präzises Einfügen, konforme Montage und fortgeschrittene Planung für Interaktionen mit mehreren Teilen. Der modulare Aufbau ermöglicht es Forschern, Aufgaben zu kombinieren und anzupassen, sodass maßgeschneiderte Benchmarks für spezifische Forschungsfragen erstellt werden können. Alle Komponenten sind 3D-druckbar, wodurch die Zugänglichkeit und Reproduzierbarkeit für die gesamte Robotik-Community gewährleistet ist. Dieser Artikel stellt die Konstruktionsgrundlagen, Aufgabenbeschreibungen und Bewertungskriterien für das Task Board vor und enthält Anweisungen zum Bau des Boards.
From Toy Problems to Industrial Reality: The wbk Assembly Benchmark
Datensatz zu der Publikation "Topology optimization on two-dimensional manifolds". DOI: 10.1016/j.cma.2020.112937
Dataset to the publication 'Topology optimization on two-dimensional manifolds'
The repository includes comprehensive details on the scanning process of drill cores using DMT CoreScan3. It covers the scanning types, conditions, available file formats, and the labeling methods for core pieces. Additionally, we offer images of the core boxes, along with detailed photographs of individual core pieces captured by a camera after the structural analysis and labeling.
DAMAST-KIT-1: Drill Core Scans and Core Photos
Processed micro-tomographic scan of the ant Parasyscia sp cribrinodis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis afrc-za09, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strongylognathus testaceus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
All metadata are included in the pdf document "DisChaIgn-Explanations.pdf"
In the frame of the PRESLHY project several ignited hydrogen blow-down experiments were made with the DisCha-facility at KIT. After some reference tests at ambient temperature, the hydrogen to be released was cooled down to cryogenic temperatures (approx. 80 K) using liquid nitrogen. The pressure in the 2.7 liter storage was varied from 0.5 to 20 MPa and the release nozzle from 1 to 4 mm. For identifying the ignition timing and location with strongest pressure and thermal effects, the ignition time after release initiation and the location close to the jet axis were varied widely. For open benchmarking of post experiment CFD simulations of the transient combustion processes the most relevant parameter setting was identified and the associated measurement data and a Powerpoint presentation with instructions on the use of the data are offered herewith.
PRESLHY Experiment series E5.1 (Ignited Discharge) results – Benchmarking
Data of 5 figures as separate sheets in one MS_Excel file
Optimization of reactively sputtered Mn$_3$GaN films based on resistivity measurements
Processed micro-tomographic scan of the ant Cardiocondyla venustula (badonei form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Cynipidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute of Meteorology and Climate Research Troposphere Research
Original BUFR files of the radiosonde measurements from Villingen Schwenningen during the Swabian MOSES 2023 field campaign. The radiosondes were released at 48.056°N, 8.487°E.
Radiosonde measurements from Villingen-Schwenningen, Swabian MOSES 2023, Level 0 BUFR files
Institut für Bio- und Lebensmitteltechnik
Double emulsions arouse great interest in various industries due to their ability to encapsulate value-adding ingredients. However, they tend to be unstable due to their complex structure. Several measurement techniques have already been developed to study and monitor the stability of double emulsions. Especially for the measurement of the filling degree of double emulsions, there is no reliable measuring method available so far. In this paper, a measurement system is presented that can measure the filling degree of W/O/W – double emulsions both spectrometrically and pho-tometrically. It is based on the Raman effect, does not require any sample preparation and the measurement has no negative influence on the double emulsion. It is shown that both spectrometric and photometric Raman techniques can reliably distinguish between double emulsions with filling degrees of 0,5 % difference. Additionally, oil droplet sizes can be measured photometrically. Furthermore, the measurement system can be integrated into emulsification processes both in- and online.
There are four different files: 1. "Droplet size distribution" This file contains the data of the droplet size distribution measurements of the inner emulsions as well as Fig. 3 2. "Fig. 2" This file contains the data of the spectra of the individual double emulsion phases as well as the diagram shown in Fig. 2 3. "Photometric_evaluation" This file contains all photometric data. Tab "Diagram Filling degree" --> Fig. 6 Tab " Diagram Droplet size" --> Fig. 7 Tab " Diagram Droplet size distribution" --> Fig. 8 Tab " Summary" Summary of all experiments/measured filling degrees Tab "0% ... 40%" evaluated data of all photometric measurements 4. "Spectrometric_evaluation" Tab "Rohdatenpython": A phython programm imports the spectroscopic data from txt.files to excel (simple copy&paste) Tab "Rohdaten": Data are copied from Rohdatenphyton to this tab. Negative wavenumbers (-88 till -1) are deleted Tab "Evaluation": Baseline correction of each measurement and calculation of the filling degrees Tab "Diagram_Spektren": Fig. 4 Tab "Diagram_Linearität": Fig. 5
Research data to the article "Measurement of the filling degree and droplet size of individual double emulsion droplets using Raman technologies"
Processed micro-tomographic scan of the ant Camponotus lateralis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis afrc-za12, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes cordatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Physikalische Chemie (IPC), Karlsruher Institut für Technologie (KIT)
Sample I (folder 231124_Bonnie_1HDNP) - EXPNOs 21, 22, 23, 24, 29, 39, 55 magnetization enhancement: DNP 1H: EXPNO 21 thermal 1H: EXPNO 29 LLS enhancement: DNP LLS: EXPNO 22 PROCNO 11 (trace 1) thermal LLS: EXPNO 39 and EXPNO 55 monitoring LLS decay: EXPNOs 22, 23, 24 Sample II (folder 231125_Bonnie_1HDNP) - EXPNOs 21, 27, 29 magnetization enhancement: DNP 1H: EXPNO 21, PROCNO 11 (trace 1) thermal 1H: EXPNO 27 LLS enhancement: DNP LLS: EXPNO 21 PROCNO 14 (trace 4) thermal LLS: EXPNO 29 monitoring LLS decay: EXPNO 21 Sample III (folder 231120_Bonnie_1HDNP_LLS) - EXPNOs 38, 43 DNP LLS: EXPNO 38 thermal 1H: EXPNO 43
Hyperpolarization of Long-Lived States of Protons in Aliphatic Chains by Bullet Dynamic Nuclear Polarization, Revealed On-The-Fly by Spin-Lock-Induced Crossing (Datasets)
Processed micro-tomographic scan of the ant Hypoponera sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys aff denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT), Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
Remote manipulation of microcargo is essential for miniaturized automated experiments in fields such as biology, chemistry, and diagnostics, allowing efficient use of scarce, expensive, or hazardous materials. Current methods for manipulating microcargo are generally limited to droplets as cargo and rely on reduced substrate-cargo friction and special substrate-cargo interactions (electrowetting, anisotropic wetting, water-repellency, etc.) to enable cargo mobility. This limits the versatility of substrate and cargo choice. Here, we present CART (Carrier-based Actuatable and Reprogrammable Transport) as a solution to these challenges. By introducing a carrier between the substrate and the cargo, CART physically separates them, eliminating the need to reduce substrate-cargo friction and the need for substrate-cargo matching. CART devices are easy to realize, tailor, and post-functionalize. A photo-polymerizable phase-separating resin is used to 3D-print porous carriers that are then infused with ferrofluid to make them magnetically responsive, enabling untethered cargo manipulation on both solid and liquid substrates. Using CART, various cargos can be remotely moved, rotated/mixed, inverted, and lifted, further facilitating interaction between two carriers for transferring, merging, and tunably splitting cargo. Overall, CART advances microcargo manipulation by decoupling cargo from the substrate and leveraging magnetic responsiveness for untethered, versatile control across different environments, opening up new actuation-modalities.
Dataset: CART: Carrier-based Actuatable and Reprogrammable Transport
CART: Carrier-based Actuatable and Reprogrammable Transport
Processed micro-tomographic scan of the ant Nomamyrmex hartigii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica cf pallidefulva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Forelius brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex magnacanthus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex naegelii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Atmosphärische Spurenstoffe und Fernerkundung
The data set comprises nitric oxide data of the Earth's middle and upper atmosphere region for the years 2002-2012 as derived from all acquisition modes of infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. Further, temperature data for the upper atmosphere mode of MIPAS is provided. The data version is V8.
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. For previous version see relations.
MIPAS IMK/IAA version 8 retrieval of nitric oxide and lower thermospheric temperature: the data [Corrected version]
Processed micro-tomographic scan of the ant Nylanderia OK03, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ein Normierungsversuch für die Hauptschule
Motor Research Data Repository, Karlsruher Institut für Technologie
Es wurden 363 Schüler einer (ländlichen) Hauptschule dem COOPER-Test unterzogen. Gemäß statistischer Analyse (Varianzanalyse) nimmt lediglich die unabhängige Variable "Geschlecht" signifikanten Einfluß auf die abhängige Variable "Laufleistung im COOPER-Test" (p = 0,000). Im Durchschnitt aller Altersstufen zwischen (10) 11 und 17 (18) Jahren beträgt die Differenz zwischen der mittleren Laufleistung der Mädchen und der Jungen 344,3 m. Die für die Jungen (regressionsanalytisch) ermittelte Steig(er)ung beträgt lediglich ca. 5,1 m, die der Mädchen sinkt um fast 23 m pro Lebensjahr. Zwar erzielen etwas mehr als zwei Drittel beider Subpopulationen bei der Bewertung der Laufleistung anhand der Normwerte Noten zwischen "ausreichend" und "sehr gut", wobei nur 5,4 % der Mädchen die beiden oberen Notenstufen erreichen, jedoch fast ein Drittel der Jungen und Mädchen (31,7 % bzw. 32,4 %) schreibt "rote Zahlen" hinsichtlich der Ausdauerleistungsfähigkeit - ein besorgniserregendes Ergebnis. Verl.-Referat.
Motor Research Data Repository, Karlsruher Institute of Technology
The first observational dataset of vertically resolved global stratospheric BrONO2 distributions from July 2002 until April 2012, compared to results of the atmospheric chemical climate model EMAC. The retrieved distributions are based on space-borne measurements of infrared limb-emission spectra recorded by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat. The derived vertical profiles of BrONO2 volume mixing ratios represent 10 deg latitude bins and three-day means, separated into sunlit and observations in the dark. The estimated uncertainties are around 1–4 pptv caused by spectral noise for single profiles as well as for further parameter and systematic errors which may not improve by averaging. Vertical resolutions range from 3 to 8 km between 15 and 35 km altitude.
The single netcdf file contains the retrieved profiles of BrONO2 volume mixing ratios from MIPAS avergaged spectra and the corresponding EMAC model results with and without application of the retrieval averaging kernels.
The MIPAS global climatology of BrONO2 2002–2012 in comparison to EMAC model data
These are the experimental data for the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on [arXiv](https://arxiv.org/) in 2023. You can find the paper [here](https://doi.org/10.48550/arXiv.2307.11607) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" These are the experimental data for the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published at [arXiv](https://arxiv.org/) in 2023. If we create multiple versions of this paper in the future, these experimental data will cover at least the first version. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). The commit hash for the last run of the evaluation pipeline (`run_evaluation.py`) is [`487b8ba04d`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/487b8ba04d513881be48fb2bc7b1c1dca416d122). We also tagged both commits (`run-2023-06-23` and `evaluation-2023-07-04`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three methods (FCBF, MI, Model Importance) have the range `[0,1]`, while two methods (mRMR, Greedy Wrapper) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. For white-box feature-selection methods, this measures one solver call. In contrast, wrapper feature selection can call the solver multiple times, and we record the total runtime of the "Greedy Wrapper" algorithm. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver; for wrapper feature selection, this is only the status of the last solver call. - 0 = (proven as) optimal - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for simultaneous search and always `10` for sequential search. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for simultaneous search but always sum-aggregation for sequential search. (In fact, sequential search only optimizes individual feature sets anyway, so the aggregation does not matter for the search.) - `search_name` (string, 2 different values): The name of the search method for alternatives (`search_sequentially` or `search_simultaneously`). - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= Model Gain), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection"
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
European Institute for Energy Research (EIFER), Karlsruher Institut für Technologie (KIT)
In this repository, data sets of the plots can be found. For more information about experimental details, please see the Experimental Section in the manuscript.
Pressurized Single Cell Testing of Solid Oxide Cells
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za03, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of face masks (Mask) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V1 (videos)
This dataset contains the electric power consumption of 28 German companies in 15 minutes resolution. The data was adjusted for inconsistencies in the daylight saving time transitions. Other inconsistencies and errors were not eliminated. The data were collected by power utilities for billing purposes and covers the years 2014 and 2018. The companies provided the data to the C/sells the project. The authors want to thank Wolff and Müller Energy for providing the data. Further, the Germany Federal Ministry for Economic Affairs and Energy for funding and support. This research was partly financed by the Smart Energy Showcases - Digital Agenda for the Energy Transition (SINTEG) program. All values are mean power values in kW in the 15 minute intervals.
Electricity consumption of 28 German companies in 15-min resolution
Processed micro-tomographic scan of the ant Camponotus cf fedtschenkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte und Numerische Mathematik
This is a guide to generate the figures that have been used in the work> Inverse medium scattering for a nonlinear Helmholtz equation by Roland Griesmaier, Marvin Knöller and Rainer Mandel. You find all needed Matlab files to generate the figures. An overview: -evaluategfun_z is supposed to generate the Herglotz density g, dependent on a possible shift z\\in R^2 -Finalplots plots the figures at the end of the computation -funhandle_zAbs evaluates the function handle corresponding to the factorization method -funhanlde_zReal evaluates the function handle corresponding to the monotonicity method -getc and ToepPhi are used to evaluate the Toeplitz matrix in order to evaluate the 2d convolution from the nonlinear Lippmann Schwinger equation. Convolution is performed by using the 2d Fourier transform. -getUi_z generates incoming Herglotz fields, dependent on a possible shift z\\in R^2 -mycon is the constraint used in the optimization -NLHH evaluates the far field given an incoming field. This function uses a fixed point iteration arising from the nonlinear Lippmann Schwinger equation. -nonlinear_qh2_scaled gives the (scaled) function handle corresponding to a kite made of fused silica. The scripts Numerical_Example_Fac.m and Numerical_Example_Mon.m start the reconstruction of the kite using the factorization and the monotonicity method, respectively. The computations have been carried out on a Cluster using 32 Cores. Generating an example from scratch takes approximately 4 days. Computations have been carried out using the Matlab 2018a version. The code uses parallelization from the Matlab Parallelization Toolbox. The code uses optimization from the Matlab Optimization Toolbox.
Numerical experiments to "Inverse medium scattering for a nonlinear Helmholtz equation"
Processed micro-tomographic scan of the ant Paratrechina longicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte und Numerische Mathematik, Sonderforschungsbereich 1173
This code has been used for the numerical experiments in the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark, see https://www.doi.org/10.5445/IR/1000149719.
The scripts are intended to reproduce the figures from the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark ################################################################################ #### Requirements The codes are tested on Ubuntu 18.04 LTS with Matlab R2020a ################################################################################ #### Generation of figures With this code Figures 3.1, 3.2, 4.1, 4.2, 4.3, 5.1, and 5.2 can be generated. The calculation of the data for Figure 4.1, 4.2, 4.3, 5.1 and 5.2 takes a few days and requires a storage space of about 140 GB. #### Figure 3.1 and 3.2 In order to obtain Figure 3.X (X=1 or 2) run the command visualize_Fig3X.m in Matlab. #### Figure 4.1, 4.2 and 4.3 Open folder "Chapter_4" in Matlab. In order to obtain Figure 4.X (X=1 or 2 or 3) first run the command kleingordon_analytical_approx.m to compute the data. Then, run visualize_Fig4X.m in Matlab. #### Figure 5.1 and 5.2 Open folder "Chapter_5" in Matlab. In order to obtain Figure 5.X (X=1 or 2) first run the command kleingordon_numerical_approx.m to compute the data. Then, run visualize_Fig5X.m in Matlab.
Numerical experiments to "High-frequency wave-propagation: error analysis for analytical and numerical approximations"
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V4 (videos)
Processed micro-tomographic scan of the ant Odontomachus troglodytes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex octospinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica sanguinea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius fuliginosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Alkali metal-sulfur batteries (Li/Na-S) have attracted much attention because of their high energy density, the natural abundance of sulfur, and environmental friendliness. However, Li/Na-S batteries still face big challenges, such as limited cycle life, poor conductivity, large volume changes, and “shuttle effect” caused by the high solubility of Li/Na-polysulfides. Herein, novel organosulfur-containing materials, i.e., bis(4-hydroxy-2,2,6,6-tetramethylpiperidin-1-yl)disulfide (BiTEMPS-OH) and 2,4-thiophene/arene copolymer (TAC) are proposed as cathode materials for Li and Na batteries. BiTEMPS-OH shows an initial discharge/charge capacity of 353/192 mAh g-1 and a capacity of 62 mAh g-1 after 200 cycles at 100 mA g-1 in ether-based Li-ion electrolyte. Meanwhile, TAC has an initial discharge/charge capacity of 270/248 mAh g-1 and better cycling performance (106 mAh g-1 after 200 cycles) than BiTEMPS-OH in the same electrolyte. However, the rate capability of TAC is limited by the slow diffusion of Li-ions. Both materials show inferior electrochemical performances in Na battery cells compared to the Li analogs. X-ray powder diffraction reveals that BiTEMPS-OH loses its crystalline structure permanently upon cycling in Li battery cells. X-ray photoelectron spectroscopy demonstrates the cleavage and partially reversible formation of S-S bonds in BiTEMPS-OH and the formation/decomposition of thick solid electrolyte interphase on the electrode surface of TAC.
The data include electrochemistry data, XRD data, and XPS data, which was plotting using Origin software.
Electrochemical Investigations of Sulfur-Decorated Organic Materials as Cathodes for Alkali Batteries
Processed micro-tomographic scan of the ant Bothroponera fugax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton hamatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der Datensatz beinhaltet die Simulationen des Papers "Fiber bundle topology optimization of hierarchical microtextures for wetting behavior in Cassie-Baxter mode". DOI: 10.1007/s00158-020-02558-8
Dataset to the publication 'Fiber bundle topology optimization of hierarchical microtextures for wetting behavior in Cassie-Baxter mode'
Processed micro-tomographic scan of the ant Monomorium intrudens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Iberoformica subrufa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "Exponential integrators for quasilinear wave-type equations" by B. Dörich and M. Hochbruck.
This program is intended to reproduce the results from the preprint "Exponential integrators for quasilinear wave-type equations" by Benjamin Dörich and Marlis Hochbruck The codes generates the lines in Figure 1 #### Requirements The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: - numpy - 1.15.4 - scipy - 1.4.1 - matplotlib - 3.2.1 - tikzplotlib - 0.9.6 - dolfin - 2018.1.0 - fenics - 2018.1.0 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: - numpy - 1.19.2 - scipy - 1.5.1 - matplotlib - 3.3.2 - tikzplotlib - 0.9.4 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figure 1 In the folder "DoeH21_quasilinear" open a console and run the following commands after each other. 1) Run "python3 1_generate_initial_matrices.py" 2) Run "python3 2_paper_run_reference_solution.py" 3) Run "python3 3_paper_run_Euler.py" 4) Run "python3 4_paper_run_midpoint.py" After running the calculations, the errors can be found in the folder "DoeH21_quasilinear/extracted_data/". (a) settings_* contains the information of the config file (b) infos_* contains the computed errors (c) plot_* contains a tikz-file which gives the plot for the Euler and the midpoint rule separately.
Numerical experiments to "Exponential integrators for quasilinear wave-type equations"
Processed micro-tomographic scan of the ant Solenopsis afrc-za01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus mirabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex spinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Copyright © 2021, American Chemical Society
Kostengünstige enzymfreie Glukosesensoren mit teilweiser Flexibilität, die für tragbare Internet-of-Things-Geräte geeignet sind und als personalisierte Point-of-Care-Geräte in Betracht gezogen werden können, wurden durch die galvanische Abscheidung von Kupfer auf lokal karbonisierten flexiblen Meta-Polyaramid-Folien (Nomex) unter Verwendung von Laserstrahlung hergestellt. Freistehende Filme wurden in Stickstoff- und Stickstoff/Luft-Arbeitsumgebungen getempert, was zur Bildung von Cu-Mikrosphäroiden und CuO-Egeln führte, die auf dem Substratfilm verteilt waren. Der Aggregationsmechanismus, die kristallographischen Eigenschaften, die Oberflächenchemie und die elektrochemischen Eigenschaften der Filme wurden mittels Rasterelektronenmikroskopie, Röntgendiffraktometrie, Transmissionselektronenmikroskopie, Röntgenphotoelektronenspektroskopie und zyklischer Voltammetrie untersucht. Cu-Mikrosphäroide und CuO-Igel erreichten Aktivität für den Glukose-Nachweis und zeigten eine Verbesserung der amperometrischen Empfindlichkeit auf 0,25 bzw. 0,32 mA cm-2 mM-1. Der CuO-Igelfilm behielt seine chemische Zusammensetzung nach der amperometrischen Prüfung bei und ermöglichte durch Spülen mehrere Wiederholungen mit reproduzierbaren Ergebnissen. Diese Studie eröffnet die Möglichkeit zur Herstellung langlebiger Verbundstoff-Biosensoren mit maßgeschneiderter Form, die in flexible Träger und mikrofluidische Systeme eingebaut werden können.
The collected data presented in OriginPro (2021) and structured according to the figures name from the publication. The schemes made with CorelDRAW (v17). The formulas were created with ChemOffice. The images can be handled with standard toolkit.
Low-cost enzyme-free glucose sensors with partial flexibility adaptable for wearable Internet of Things devices that can be envisioned as personalized point-of-care devices were produced by electroplating copper on locally carbonized flexible meta-polyaramid (Nomex) sheets using laser radiation. Freestanding films were annealed in nitrogen and nitrogen/air working environments, leading to the formation of Cu microspheroids and CuO urchins dispersed on the substrate film. The aggregation mechanism, crystallographic properties, surface chemistry, and electrochemical properties of the films were studied using scanning electron microscopy, X-ray diffractometry, transmission electron microscopy, X-ray photoelectron spectroscopy, and cyclic voltammetry. Cu microspheroids and CuO urchins attained activity for glucose detection and showed improvement of amperometric sensitivity to 0.25 and 0.32 mA cm–2 mM–1, respectively. The CuO urchin film retained its chemical composition after amperometric testing, and, by rinsing, allowed multiple repetitions with reproducible results. This study opens the possibility for the fabrication of durable composite biosensors with tailored shape, capable of implementation in flexible carriers, and microfluidic systems.
Nano- and Microstructured Copper/Copper Oxide Composites on Laser-Induced Carbon for Enzyme-Free Glucose Sensors
ICON related information for publication "Increasing resolution and resolving convection improves the simulation of cloud‐radiative effects over the North Atlantic" by Senf et al., JGR-Atmospheres, 2020, more details given in the included README file
ICON related information for publication "Increasing resolution and resolving convection improves the simulation of cloud‐radiative effects over the North Atlantic" by Senf et al., JGR-Atmospheres, 2020
Processed micro-tomographic scan of the ant Temnothorax michali, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia amia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atopomyrmex mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Fraunhofer Institute for Mechanics of Materials
Dieser Datensatz ist eine RO Crate Kollektion (ZIP-File) von ausgewerteten Daten / Analysen aus tribologischen Experimenten einer LDS Spritzschicht in Kontakt mit 6 unterschiedlichen diamantartigen Kohlenstoffschichten (DLC). Die Messungen wurden als Funktion der Gleitgeschwindigkeit und der Normalkraft durchgeführt und die Daten automatisiert mit Matlab analysiert.
Geophysical Institute (GPI), Karlsruhe Institute of Technology (KIT), Germany
This dataset contains shear wave splitting measurements (SWSMs) on SKS, SKKS, and PKS phases at the (semi-) permanent broadband seismological recording stations Black Forest Observatory (BFO), Welschbruch (WLS), Stuttgart (STU), Échery (ECH), Karlsruhe-Durlach (TMO44), and KIT-GPI (TMO07). Splitting parameters (fast polarization direction and delay time) were obtained with the MATLAB package SplitLab (Wüstefeld et al. 2008) simultaneously applying the rotation-correlation method (Bowman & Ando 1987) and the energy minimization method (Silver & Chan 1991). Additionally, the splitting intensity (Chervot 2000) is reported. Only single-event analysis SWSMs of good and fair qualities are reported. Information of the used earthquakes are included. CSV as well as PDF files are provided. Details can be found in the README. The dataset is related to the publication Fröhlich et al. (2024), GJI, https://doi.org/10.1093/gji/ggae245.
YF: Funding from the German States (Landesgraduiertenförderung (LGF))
JR: Deutsche Forschungsgemeinschaft (DFG)
geophysics, seismology, elastic anisotropy, seismic anisotropy, shear wave splitting
Longterm Shear Wave Splitting Measurements in the Upper Rhine Graben Area
Processed micro-tomographic scan of the ant Ponera tamon, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set consists of five types. 1) In table AnthroDemoMaxForcesTable.mat the anthropometric data, the gender and the maximum grip and push forces of the subjects are listed. 2) In Matrix resultsMatrix.mat the mechanical impedance and the phase angle of the measurements of the subjects study are summarized. The resulting mechanical impedance and the phase angle are already calibrated in each direction, and can be used directly from the matrix. The matrix consists of three dimensions, the first is the mechanical impedance and the phase angle in the direction of excitation (zh), the second dimension is the cross-axial mechanical impedance and the phase angle in xh-direction, and the third dimension is the cross-axial mechanical impedance and the phase angle in yh-direction. The directions are named according to the coordinate system of DIN 5349:2001. Each row of the matrix represents one measurement. The following data information and results are in the corresponding columns: - 1: number of the subect - 2: is 0 if the grip and push forces during the measurements are within the range of 5N and 14%, otherwise a 1 is at this position. This can be used for data exclusion. - 3: predefined push force value - 4: predefined grip force value - 5: experiment number according to the resultsMatrix for each subject - 6: sequence of the taken measurements of each subject, due to a randomized test plan - 7: mean measured grip force - 8: median measured grip force - 9: standard deviation of the measured grip force - 10: mean measured push force - 11: median measured push force - 12: standard deviation of the measured push force - 13: mechanical impedance at 10 Hz - 14: phase angle at 10 Hz - 15: mechanical impedance at 15 Hz - 16: phase angle at 15 Hz - 13:2:209 mechanical impedance between 10-500 Hz in 5 Hz steps - 14:2:210 phase angle of the mechanical impedance between 10-500 Hz in 5 Hz steps 3) The VPAmatrix.mat is according to resultsMatrix.mat, instead of the mechanical impedance in positions 13:2:209 the vibration power absorption values are listed and in positions 14:2:210 the weighted vibration power absorption according to ISO10068:2012 is listed. Here, only the direction of excitation is evaluated. 4) Raw data, the data name consists of the time stamp and is named afterwards in the same order as the matrix: Px, where x is the number of the subject, followed by the push and then the grip force and the position in the matrix. In each struct the metadata, the time and the signals are saved. The excitation in the subject study was applied along the forearm axis (zh according to DIN5349:2001). Therefore, the signals az_top and az_bottom are the acceleration at the top and bottom of the measuring handle in excitation direction. The signals Fz_top and Fz_bottom are the forces in the direction of excitation, both are used to calculate the mechanical impedance and vibration power absorption in the excitation direction (dimension 1 in the resultsMatrix.mat file). The signals used for the second dimension of the resultsMatrix are Fx_top, Fx_bottom, az_top, az_bottom, for the third dimension Fy_top, Fy_bottom, az_top, az_bottom are used. 5) emptyMeasurement.mat is a measurement of the unloaded handle while excited with the same signal as in the subject study. This file can be used for the calibration of the handle.
The data set contains the raw as well as the evaluated data from a subject study with 6 subjects to measure the mechanical impedance and the vibration power absorbtion while varying the grip and push forces in ten levels between 10-135N and 10-110N respectively. The measuring handle on which the study was conducted complies with the specifications in ISO10068:2012. The subjects were randomised to hold the force levels while vibrations were applied translatory along the lower arm axis (zh-axis according to DIN5349:2001) to their hand-arm system via a shaker system, with the posture of the subjects lying within the ranges specified in ISO 10819:2022. The excitation was a multisine with frequencies between 10 to 500 Hz in 5 Hz steps with an root mean square value of 40m/s². The acquisition time of each measurement is 16.5 sec, for the evaluation the data is cutted to exclude the first 4 sec and the last 1.5 sec.
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces
Processed micro-tomographic scan of the ant Plagiolepis afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys lewisi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Thermal statistics of turbulent forced convection pipe flow for axially and azimuthally inhomogeneous thermal boundary conditions This database features thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 for forced convection pipe flow with axially and azimuthally inhomogeneous thermal boundary conditions. The wall heat flux in azimuthal direction is prescribed to be adiabatic on one half of the pipe and sinusoidal on the other half. In axial direction, the wall heat flux distribution is given by a Gaussian function. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the dissertation: Straub. "Non-homogeneous thermal boundary conditions in low to medium Prandtl number turbulent pipe flows". Dissertation, Karlsruhe Institute of Technologie (KIT), 2020 Contents Nusselt number Wall temperature Radial profiles of temperature at nine axial and five azimuthal locations Radial profiles of temperature variance at nine axial and five azimuthal locations Radial profiles of turbulent heat fluxes at nine axial and five azimuthal locations
This database contains numerical results of well-resolved large-eddy simulations and direct numerical simulations on a turbulent forced convection pipe flow with axially and azimuthally inhomogeneous thermal boundary conditions. Please refer to the README for further information.
Thermal statistics of turbulent forced convection pipe flow for axially and azimuthally inhomogeneous thermal boundary conditions
Processed micro-tomographic scan of the ant Ectomomyrmex javanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus bispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys elongata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex detectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lioponera MG04, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus cf mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The heat transfer between an impinging circular jet and a flat plate is studied by means of direct numerical simulations for different Prandtl numbers of the fluid. The thermal field is resolved for $Pr=1$, $0.72$, $0.025$, and $0.01$. The flow is incompressible and the temperature is treated as a passive scalar field. The jet originates from a fully developed turbulent pipe flow and impinges perpendicularly on a smooth solid heated plate placed at two pipe diameters distance from the jet exit section. The values of Reynolds numbers based on the pipe diameter and bulk mean velocity in the pipe are set to $Re=5300$ and $Re=10000$. Inflow boundary conditions are enforced using a precursor simulation. Heat transfer at the wall is addressed through the Nusselt number distribution and main flow field statistics. At fixed Reynolds number it is shown that the Prandtl number influences the intensity of the Nusselt number at a given radial location, and that the Nusselt number distribution along the plate exhibit similar features at different Prandtl numbers. The characteristic secondary peak in the Nusselt number distribution is found for both Reynolds numbers for $Pr=0.025$ and $Pr=0.01$. All the simulations presented in this study were performed with the high order spectral element code Nek5000.
Data contain mean flow field statistics along the impingement wall of a turbulent impinging jet at Re=5300 and Re=10000. Data are separated in directories for each Reynolds number case. For each case, mean flow statistics of the precursor pipe flow simulation are also reported. Data are stored as csv ascii files and information about the columns are found directly in the files.
DNS of Turbulent Heat Transfer in Impinging Jets at Different Reynolds and Prandtl Numbers
Instructions on how to use the data can be found within the repository.
This repository provides different artifacts developed in and used for the evaluation presented in the paper "Classifying and Avoiding Compatibility Issues in Networks of Bidirectional Transformations" by Sağlam and Klare at the Ninth International Workshop on Bidirectional Transformations. The artifacts comprise a Git repository whose history documents the case study conduction presented in the paper, as well as the developed transformation network with the test scenarios of the case study. The package contains a prepared execution environment and provides a script to run the environment for the tests scenarios and automatically resolve all dependencies based on Docker.
Reproduction Package for the Paper on Classifying and Avoiding Compatibility Issues in Networks of Bidirectional Transformations
Processed micro-tomographic scan of the ant Bothroponera perroti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of face masks (Mask) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V5 (videos)
Processed micro-tomographic scan of the ant Myrmecina graminicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Mutillidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium mirandum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius cf flavus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Fernando O. Campos, Aurel Neic, Caroline Mendonca Costa, John Whitaker, Mark O’Neill, Reza Razavi, Christopher A. Rinaldi, Daniel Scherr, Steven A. Niederer, Gernot Plank, Martin J. Bishop
This is an idealized 2D cardiac infarct model designed with the purpose of replicating the setup used in our study entitled "An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias" (accepted) Medical Image Analysis (2022).
Example of reentry induction in a 2D idealized infarct model (v1.0)
Processed micro-tomographic scan of the ant Calyptomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Megalomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys striatula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)
PPD-2K Size Distribution for DOME_C_final_sum_level2 file from 11-21-2023 094440 UTC until 01-07-2024 222452 UTC. Calibration coefficients: a = 2, b = 0.522 and c = 0 PPD flow: 5 lpm Data produced with 10 s averaging 1st Column: datetime in UTC 2nd Column: Ntot, Total concentration in 1/ccm 3rd Column: dNtot, Uncertainty in total concentration in 1/ccm 4th Column: Droplet_fraction 5th Column: Droplet_fraction upper Clopper-Pearson confidence interval 6th Column: Droplet_fraction lower Clopper-Pearson confidence interval 7th Column onwards: dN/dlogDp for spherical equivalent diameter size bins in 1st row
In-situ measurements of small atmospheric ice crystals (< 100 µm) on the Antarctic plateau are rare. Yet, small ice crystals are abundant in a region that often reaches cirrus temperatures even in the warmest season. The Particle Phase Discriminator (PPD-2K) was deployed on DOME-C, Antarctica during austral summer 2023/2024. It was used to characterize the microphysical and optical properties of individual ice fog and diamond dust ice crystals having spherical equivalent diameters between 11 and 150 µm. These properties included particle concentration, size distribution and spatial light scattering patterns in the forward direction that allow the analysis of the particle sphericity (particle phase), shape and crystal complexity.
Diamond Dust Ice Fog Ice Particles Particle Size Distribution Particle Phase PPD-2K
PPD-2K Particle size distribution and particle phase from DOME-C, Antarctica
Processed micro-tomographic scan of the ant Nomamyrmex esenbeckii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The files are named according to the numbering of the figures in the publication. All relevant information and assignments can be found in the data header of each file. Figure_1: (a) Linear sweep voltammetry (LSV) of aniline, and (b) cyclic voltammetry of ZnO, Fe2O3 and ZnFe2O4 in the synthesis precursor solution. Figure 2: Current to time response (I-t) profiles during synthesis of (a) PN, (b) PNZ, (c) PNF and (d) PNZF. Figure 4: XRD spectra of (a) PN synthesized by CV during parameter identification, (b) PN synthesized by CA, (c) ZnO, (d) PNZ, (e) Fe2O3, (f) PNF, (g) ZnFe2O4, (h) PNZF. Figure 5: FT-IR spectra of (a) PN and its composites, (b) ZnO, Fe2O3 and ZnFe2O4. Figure 6: UV/Vis spectra of (a) PN and its composites and (b) ZnO, Fe2O3, and ZnFe2O4. Figure 7: Cyclic voltammograms of (a) PN, (b) PNZ, (c) PNF, and (d) PNFZ at different scan rates. Potentials are referred to SCE (KClsat. in H2O). Figure 8: Comparison of PN and its composites for (a) CV measurements at a scan rate of 5 mV s 1, (b) the calculated specific capacitances of PN, PNZ, PNF and PNZF for different scan rates, (c) the calculated capacitance retentions for 4,000 cycles at 30 mV s-1. Figure 9: GCD experiments at different current densities of (a) PN, (b) PNZ, (c) PNF, and (d) PNZF. (e) Comparison of the specific capacitances of PN and its composites at different current densities. Figure 10: EIS spectra of PN, PNZ, PNF, and PNFZ.
This study introduces an efficient potentiostatic method to enhance the energy storage performance of polyaniline (PN) by synthesizing PN@ZnO (PNZ), PN@Fe2O3 (PNF), and PN@ZnFe2O4 (PNZF) hybrid electrodes with defined porous morphology. The precise selection and control of the working potential during electro-polymerization and metal oxide integration using the linear sweep voltammetry was key for synthesizing the polymer hybrid electrodes reproducible and with defined composition and structure. The PNZF electrode demonstrated the highest specific capacitances of 816 F g-1 and 791.3 F g 1 at a scan rate of 5 mV s-1 and 1.0 A g-1 current density, along with high power density and energy density of 1058.4 W kg-1 and 136.4 Wh kg 1, and with excellent stability retaining 90 % over 4000 cycles. We could attribute the excellent performance to a low charge transfer resistance of 25.0 Ω, a predominantly surface-controlled charge storage mechanism, and a porous morphology with uniform distribution of ZnFe2O4 particles in the polymer network, all resulting from the electrochemical synthesis method. Our study provides valuable and new insights into the structural, optical, and electrochemical properties of PN composites, particularly PNZF.
Potentiostatic Synthesis of Polyaniline Zinc and Iron Oxide Composites for Energy Storage Applications
Dynamic multi-focus 3D laser nanoprinting based on two-step absorption and computational holography
Processed micro-tomographic scan of the ant Probolomyrmex okinawensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera villosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Prozessdatenverarbeitung und Elektronik
3D USCT III (3rd generation) experimental data. The following datasets are included: 1: Gelatin phantom with four inclusions made from PVC (spheres of different size 8 mm to 22 mm) 2: Empty measurement with the same acquisition parameters as the gelatin phantom.
In order to utilize the data, we provide a MATLAB interface which has been updated for the USCT 3rd generation format. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3D-USCT-III-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the issue tracker or contact us via e-Mail. For further information and data access scripts see webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
Processed micro-tomographic scan of the ant Cylindromyrmex striatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Graphical program for display time dependent data on 3D finite elment meshes
Processed micro-tomographic scan of the ant Stigmatomma FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
Contains: - 4 versions of the debriefing used in the study (Type A & Type B - each for detected and not detected) - The structure of the online questionnaire for phase 1 & 2 - The informed consent for phase 1 & 2 - The study material participants received (role card & invitation letter)
Systematic User Evaluation of a Second Device based cast-as-intended verifiability Approach
Processed micro-tomographic scan of the ant Mycetomoellerius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Octostruma cf betschi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 10)
Processed micro-tomographic scan of the ant Pheidole bicarinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data can be open by the software of Velox.
High-Entropy Sulfides as Highly Effective Catalysts for the Oxygen Evolution Reaction
Processed micro-tomographic scan of the ant Strumigenys circothrix, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
Each folder structured, to the corresponding figure in the paper
Parallelization remains a key challenge in advancing 3D bioprinting from a prototyping method to a practical tool for true high-throughput screening (HTS). The ability to fabricate many tissue substitutes simultaneously is essential for studying cell–material interactions and drug responses across the ever-growing libraries required in disease modeling and drug discovery. HTS of tissue substitutes requires models in culture that remain viable under long-term immersion in liquid. However, existing fabrication approaches are fundamentally limited by a trade-off between physiological relevance and throughput. Two-dimensional cultures on liquid-compartmentalization platforms enable HTS but lack physiological accuracy, while 3D cultures provide physiological relevance at the expanse of speed and scalability. 3D bioprinting methods on traditional liquid compartmentalization platforms are inherently serial, resulting in sequential fabrication of models, which scale unfavorably with increasing array sizes required for HTS. Here, we present a 3D bioprinting solution that integrates digital light processing (DLP) stereolithography with a patterned slippery liquid infused porous surface droplet microarray (SLIPS-DMA). This wall-less compartmentalization platform repels gelatin methacrylate (GelMA) inks, maintains stable droplet boundaries and enables complete immersion of printed hydrogel 3D structures. By eliminating inter-compartment travel for material deposition, the process decouples fabrication time from array size, achieving true parallelization. Using optimized printing parameters, we demonstrate high-fidelity parallel 3D printing of tens to hundreds of GelMA structures in under ten minutes, while preserving cell viability and subsequent complete structure immersion in stable compartmentalized droplets. The process supports immobilization of cells or cell-aggregates within individual 3D hydrogel structures of an array on the platform for downstream assays. By combining parallel 3D printing with a solid wall-less compartmentalization platform, this technology overcomes the serial bottleneck of existing approaches. This technology represents a significant advance, effectively bridging the gap between arrays of high-fidelity 3D tissue models and the fabrication speed required for HTS. The developed parallel 3D printing-SLIPS-DMA approach establishes a flexible high-throughput system-on-a-chip for 3D cell culture in separate, miniaturized liquid environments. It thereby enables scalable multi-condition HTS for investigation of cell–material–drug interactions.
Parallel 3D Bioprinting on SLIPS-Microarrays
Karlsruhe Institute of Technology KIT, Germany
a fast python package for mie scattering and backscattering calculations of single particles, coated particles and log-normal distributed particles
Processed micro-tomographic scan of the ant Messor barbarus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)
This is the dataset of the paper "Simultaneous multinuclear MRI via a single RF channel"
Dataset-Simultaneous multinuclear MRI via a single RF channel
Processed micro-tomographic scan of the ant Stigmatomma silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
These files contain the data used in the publication: “Rearrangement of secondary flow over spanwise heterogeneous roughness” A. Stroh, K. Schäfer, B. Frohnapfel and P. Forooghi published in Journal of Fluid Mechanics, 2019. (DOI: 10.1017/jfm.2019.1030) Abstract: Turbulent flow over a surface with streamwise-elongated rough and smooth stripes is studied by means of direct numerical simulation (DNS) in a periodic plane open channel with fully resolved roughness. The goal is to understand how the mean height of roughness affects the characteristics of the secondary flow formed above a spanwise-heterogeneous rough surface. To this end, while the statistical properties of roughness texture as well as the width and spacing of the rough stripes are kept constant, the elevation of the smooth stripes is systematically varied in different simulation cases. Utilizing this variation three configurations representing protruding, recessed and an intermediate type of roughness are analysed. In all cases secondary flows are present and the skin friction coefficients calculated for all the heterogeneous rough surfaces are meaningfully larger than what would result from the area-weighted average of those of homogeneous smooth and rough surfaces. This drag increase appears to be linked to the strength of the secondary flow. The rotational direction of the secondary motion is shown to depend on the relative surface elevation. The present results suggest that this rearrangement of the secondary flow is linked to the spatial distribution of the spanwise-wall-normal Reynolds stress component which carries opposing signs for protruding and recessed roughness. Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an open turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip boundary conditions at the lower domain wall (y = 0) and symmetry boundary conditions (v = 0, ∂u/∂y = ∂w/∂y = 0) at the upper boundary (y = δ). The flow is driven by a prescribed constant pressure gradient (CPG). The friction Reynolds number for the present case is fixed to Re_τ = 500. Simulation configuration - Grid nodes: Nx x Ny x Nz = 768 × 301 × 384 - Domain size: Lx x Ly x Lz = 8δ × δ × 4δ - Resolution: ∆x+=5.2, ∆y_min+=0.014, ∆y_max+=2.6, ∆z+ = 5.2 The surface structure is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. The structure is placed on the lower domain wall in such a way that the surface height H of the largest raised surface elements is given by H/δ = 10.2%. Data Files: The data files are saved and labeled corresponding to the figure in the manuscript in *.mat files. Each file contains MATLAB data consisting of the plotted quantities and corresponding coordinates. The data is non-dimensionalized as shown in the manuscript figures utilizing friction velocity u_τ, viscous lengthscale δ_ν or bulk mean velocity U_b and effective domain height δ_eff. A matlab script “plot_figures.m” provides the code, which loads the data and plots it in the same way as it has been done in the manuscript. “height_distributions.mat” contains the original roughness distributions utilized in the considered simulations. The files can be also loaded and plotted using “plot_figures.m” 3-dimensional instantaneous snapshot and time series of velocity fields is available upon request (alexander.stroh@kit.edu). Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Alexander Stroh Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ November, 2019
Dataset for rearrangement of secondary flow over spanwise heterogeneous roughness
Processed micro-tomographic scan of the ant Loboponera afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius neglectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data of the experiments for the assimilation of observations of free tropospheric specific humidity (q), temperature (T), and water vapour isotopologue ratio (δD). For the observations the uncertainty and the horizontal and temporal coverage of the MUSICA IASI dataset (but aggregated on the 200km x 200km gridding of the model IsoGSM) is assumed. The experiments are made for July and August 2016. A detailed description is given in the provided ReadMe file.
Observation System Simulation Experiment (OSSE), Assimilation Experiment, Specific Humidity, Temperature, Water Vapour Isotopologues, Free Troposphere, Vertical Velocity, Latent Heating, Precipitation
MUSICA IASI water isotopologue OSSE assimilation experiments (used in AMT study)
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
Data sets used for plotting graphs in the figures and COMSOL files for the manuscript of "Integrated shimming enables independently parallel NMR detection"
Integrated shimming enables independently parallel NMR detection
Processed micro-tomographic scan of the ant Dorylus fulvus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lordomyrma dianale, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia sakurae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Megaponera analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudoneoponera rufipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Vergleichsdaten Standweitsprung, Weitsprung 1984
Processed micro-tomographic scan of the ant Pseudolasius silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta texana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute for Applied Materials - Reliability and Microstructure (IAM-ZM)
Institute for Applied Materials - Mechanics of Materials and Interfaces (IAM-MMI)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0027, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0027 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Figure data are provided as .txt files with x and y axis values.
Non-flammable next-generation batteries with high power and energy density are essential to meet the high demands of aircraft applications. These cells require electrolytes that not only are stable but that also ensure reliable battery performance under dynamic load conditions. This study employs a physicochemical model to evaluate and compare the electrochemical performance of cells using different cathodic electrolytes: hybrid solid electrolytes, highly concentrated liquid electrolytes, and ionic liquids (ILs). To isolate the intrinsic behavior of each electrolyte under ideal conditions, the evaluation deliberately excludes side reactions, interfacial stability, and contact limitations, focusing solely on gravimetric energy, power output, and mission performance theoretically achievable with such cells. Cells with LiFSI as salt, ILhydrofluoroether (HFE) as cathode electrolyte or with LiFSA as salt and sulfolane-HFE show superior performance and require less battery mass for aircraft use. To meet the mission requirements of a regional aircraft configuration and when assuming ideal conditions, cathode thicknesses of 70 μm, 60 μm, and 40 μm for sulfolane-HFE, ILHFE, and hybrid solid electrolytes, respectively, were determined. This approach helps to identify promising electrolyte candidates, exclude stable candidates that cannot fulfil the dynamic power demand, reduce unnecessary experimental efforts, and support the development of efficient and safe battery systems for aviation.
Comparative Performance Assessment of Li Batteries with Solid and Highly Concentrated Electrolytes for Aviation Applications
Please read and refer to our data descriptor: G. Steinbuß, B. Rzepka, S. Bischof, T. Blank and K. Böhm, "FOBSS: Monitoring Data from a Modular Battery System", in the Proceedings of the Tenth ACM International Conference on Future Energy System, 2019
Frequent Observations from a Battery System with Subunits
Processed micro-tomographic scan of the ant Polyrhachis lamellidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is the dataset for a paper that analyses the use of imitation learning for controlling heat pumps. The dataset includes the input time series data used in the simulations. Further, we added the experiments' outcomes and resulting load profiles to the dataset. There is a txt file in each main folder with the name "Information" that describes the data in more detail.
Input and result data for the paper "Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps"
3D Printing of Reactive Macroporous Polymers via Thiol-Ene Chemistry and Polymerization-Induced Phase Separation
Processed micro-tomographic scan of the ant Nylanderia yambaru, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Daceton armigerum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Apis mellifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole sp flavens group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set covers mobility diaries in 6.465 German car users for one week. This data set is based on the work of [1]. The car users noted their mobility behavior in for a whole week. The participants started logging their mobility patterns on different days. In the end, the data was aggregated starting on a Monday. The time of data collection was selected so that there were no holidays in the data. This data for different driver types are found in the CSV-files named "DrivingProfiles_*.CSV" During the week the participants noted where they went, \eg work, shopping, home, the mode of transportation and the distance traveled. This resulted in mobility diaries in 15 minutes resolution. Each column represents a 15-minute slot. One driver is resembled by to lines. First, her location, second, her distance traveled by car in the 15-minute slot. From this data, we derived parking events with different features found in ParkingEventsData.csv [1] Zumkeller, D., Chlond, B., Ottmann, P., Kagerbauer, M., & Kuhnimhof, T. (2011). Deutsches Mobilitätspanel (MOP)–wissenschaftliche Begleitung und erste Auswertungen. Kurzbericht. Karlsruhe: Institut für Verkehrswesen, Universität Karlsruhe. The original data set can be acquired via https://daten.clearingstelle-verkehr.de/192/
Parking events derived from trip data from MiD2008
The research data contains all the raw data for producing the results reported in the published manuscript.
Figures for RSC Advances publication on Rice paper carbon paper (10.1039/D0RA01447H)
Research data for Chapter 6 in the PhD Thesis "The Microphysical and Radiative Interactions of Arctic Multilayer Clouds". A README file details the data required for each plotting script. The dataset includes NetCDF files based on three simulations: Ref, Above Off, and Below Off, please refer to the thesis for the details. Post-processed data for figures 6.1-6.10 (B1-B4) and respective plotting scripts are included. For the raw data please get in touch with the author.
Research Data for the PhD Thesis "The Microphysical and Radiative Interactions of Arctic Multilayer Clouds"
Processed micro-tomographic scan of the ant Anoplolepis gracilipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster pallida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara diversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oecophylla longinoda fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus altisquamis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
main manuscript, figures, and data underlying the plots
Data for "In-situ diagnostics and role of light-induced forces in metal laser nanoprinting"
Laboratorium für Elektronenmikroskopie (LEM), Karlsruher Institut für Technologie (KIT)
This dataset provides data points for the graphs in the publication DOI: 10.1002/fuce.202300060.
Research data of the publication: Comparison of a solid oxide cell with nickel/gadolinium-doped ceria fuel electrode during operation with hydrogen/steam and carbon monoxide/carbon dioxide
The data set contains netCDF files: one per month for vertical profiles of the gases and one per month for the corresponding averaging kernel matrices.
IMK-IAA MIPAS V5 data set of ClONO2, HNO3, HOCl, N2O5, NO, NO2, and O3 vertical profiles and corresponding averaging kernel matrices for October and November 2003
Processed micro-tomographic scan of the ant Tetraponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius niger, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Graduiertenkolleg 2561: Materials Compounds from Composite Materials (GRK 2561), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Graduiertenkolleg 2561: Materials Compounds from Composite Materials (GRK 2561), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
This dataset contains the relevant raw data of the revised submission "Overcoming barriers for high temperature alloys: oxidation and ductility". All files highlighted by "MC-AC" denote data on as-cast Cr-37.2Mo and "MSC-AC" on as-cast Cr-36.1Mo-3Si (alloy compositions given in at.%). "MSC-H" is Cr-36.1Mo-3Si in the homogenized condition after 1600°C for 48 h. Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single-specimen" is not averaged but determined on a single specimen Fig2b = engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = true work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig4 = Atome probe tomography datasets according to Cameca file standards Fig6 = Electron backscatter diffraction maps as fully annotated *.ang file FigS1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS2 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigS4 = time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm); "internal_corrosion_zone" denotes the thickness of the internally oxdized regions; "800C" denotes 800°C and "1100C" denotes 1100°C FigS5 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "Overcoming barriers for high temperature alloys: oxidation and ductility"
Processed micro-tomographic scan of the ant Oecophylla longinoda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This package provides the results of the Mixed-Integer Linear Programm simulations used in the evaluation section of the paper "Solar Farm Cable Layout Optimization as a Graph Problem".
Solar Farm Cable Layout Optimization as a Graph Problem (MILP results)
Processed micro-tomographic scan of the ant Eurhopalothrix procera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes simillimus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole ochracea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Motorik Daten wurden mittels DKT (Dordel Koch Test) erhoben. Der 3-minuten-Lauf ist ein "halber 6-Minuten-Lauf" mit den selben Regeln, nur 3 Minuten lang, statt 6. Erfasst wurde objektiv (Anthropometrie, wie auch Motorik) vor Ort durch geschultes Personal Diese Daten sind Baseline-Daten (uninterventiert) einer longitudinalen Messung
Komm mit in das gesunde Boot (Kindergarten)
Processed micro-tomographic scan of the ant Neivamyrmex pseudops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Technische Chemie und Polymerchemie
Institut für Katalyseforschung und -technologie
Each folder contains a stack of images showing the elemental distribution for all the elements used in sample characterization. Another file, "mux.tiff," is also included for absorbance and thickness studies.
proton exchange membrane water electrolysis
Elemental Distribution in Catalyst-Coated Membranes of PEM Water Electrolysers Tracked by Synchrotron X-ray Fluorescence - Fe2+ contaminated CCM
Physics Centre of Minho and Porto Universities (CF-UM-PT), University of Minho
Leibniz Institut für Analytische Wissenschaften-ISAS-e.V.
Institute of Plasma and Nuclear Fusion, Technical Superior Institute, University of Lisbon; Centro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa
Institute of Solid State Physics, University of Latvia
International Iberian Nanotechnology Laboratory
Institute of Plasma and Nuclear Fusion, Technical Superior Institute, University of Lisbon
KNMF, IFG, Karlsruhe Institute of Technology
The influence of Sb doping on the local structure and disorder in thermoelectric ZnO:Sb thin films
Processed micro-tomographic scan of the ant Cladomyrma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Probolomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
The ptychography reconstructions were performed using the ePIE algorithm of the Ptycho software implemented at the P06 beamline of PETRA III, DESY. Further detailed data processing steps following the 2D reconstructions have been outlined in the manuscript and the .txt file uploaded.
The dataset contains 2D reconstructions of the Ag catalyst obtained using $in$ $situ$ ptychography. The Ag catalyst specimens were mounted on MEMS-based and TEM chips and studied under reaction conditions. The ptychography was performed at the P06 beamline of PETRA III in DESY, Hamburg, Germany. The specimens were treated in air or inert (He) conditions and heated up to 650 $^{\circ}$C under atmospheric pressures. A detailed description of the dataset can be found in the corresponding readme file and its associated manuscript publication.
2D reconstructions of Ag catalysts studied using in situ X-ray ptychography at P06 beamline, PETRA III, DESY
Processed micro-tomographic scan of the ant Proformica cf mongolica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus niveosetosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius cf fuliginosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus renggeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium bicarinatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys membranifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetophylax asper, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
"Sprungkraft als Trainingsziel im Sportunterricht. Funktion, Struktur,Messung" in Sportwissenschaft (Schorndorf) 11 (1981), 1 , S. 88-102Sprungkraft wird unter den Aspekten Funktion, Definition, Systematik und Strukturierung als konditionelle Eigenschaft diskutiert. Die Funktion ist ambivalent, denn einmal erfolgt der Einfluss der Sprungkraft direkt, ein andermal indirekt. Sprungkraft ist die Faehigkeit, moeglichst weit undoder hoch zuspringen, wobei mehrere Sprungkrafteigenschaften nach den Sprungbewegungen unterscheidbar sind. Zwischen den verschiedenen Sprungkrafteigenschaften - exemplarisch werden zehn ueberprueft - bestehen enge korrelative Beziehungen. Die faktorenanalytische Betrachtung fuehrt die zehn Sprungkraftleistungen auf einem einzigen Generalfaktor zurueck, der allen Sprungleistungen immanent ist.Er bewirkt den Grossteil aller inter-individuellen Sprungkraftunterschiede im Schulalter.
Processed micro-tomographic scan of the ant Cataulacus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Please contact the GLORIA team at KIT or Jülich before using the data for scientific studies.
netCDF data can be opened with a variety of software tools, including Matlab, Origin, or Python. For a simple GUI solution, Panoply is recommended: https://www.giss.nasa.gov/tools/panoply/download/
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, BrONO2, ClONO2) in the Upper Troposphere and Stratosphere from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere Balloon version (GLORIA-B) during the HEMERA campaign with base in Timmins, Ontario, Canada, on board of a high altitude stratospheric research balloon (operated by CNES) 2022.
Processed micro-tomographic scan of the ant Agraulomyrmex meridionalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax formosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paltothyreus tarsatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax xanthos, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0025, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0025 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant OUTGROUP_Ropalidia fasciata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT), Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
The datasets encompas collected training, validation, and test data as well as related mesuared LIG properties. Five dataset include (A) 500 training lines, (B) 100 validation lines and (C) 13 validation rectangles, (D) 50 twofold-control lines, and (E) 10 printed lines used for the demonstrator-circuitry characterization. For each collected sample, laser-beam parameters, and corresponding product (LIG) properties are presented. "Set" indicates input data: grid-distributed in the dataset A, randomly generated in the datasets B-D, and a single calculated value in the dataset E. "Predicted" stands for the neural-network predicted output data. "Measured" represents the actual, physically and optically measured sample properties.
Machine-learning techniques are highly advantageous for automation of a manufacturing process, since they facilitate prediction of the process parameters and product properties. However, the need for process-specific prior knowledge, for elaboration of complex analytical models, and for collection of a comprehensive training dataset notably limits their integration into the real-world applications. We pioneered and studied usage of a streamlined non-analytical approach to predict and optimize process parameters, radically adapted to the conditions of resource and knowledge constraints. The approach was employed for laser-induced graphene, which is an emerging flexible-electronics fabrication technique. The fabrication settings were successfully predicted and controlled by a blackbox neural network from the desired properties of the device, despite a small amount of moderate-quality training data. To prove feasibility of the concept, we designed and manufactured a functional electronic circuit. The proposed procedure is applicable for a broad range of functional materials and fabrication methods.
Datasets to the bidirectional process prediction in the laser-induced-graphene production using blackbox deep learning
Processed micro-tomographic scan of the ant Acanthostichus aff brevicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus kiusiuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
##### Instructions: The scripts inside the subfolder are intended to reproduce the figures from the preprint ###### Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations by Marlis Hochbruck, Markus Neher, and Stefan Schrammer We provide two different versions of the code: - Code_rad_wo_ref.zip provides the scripts for computing and plotting the data for all numerical experiments. - Code_rad_incl_all.zip additionally provides the reference solutions as well as the low-rank approximations as hdf5-files. ##### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 ###### Generation of figures (tikz files containing the data are also created) In the folder fracginz open a console and run the commands to create the data for Figures (1) and (2) python3 fgl.py to create Figures (1) and (2) python3 fgl_results.py In the folder fracschr open a console and run the commands to create the data for Figure (3) python3 fsr.py to create Figure (3) python3 fsr_results.py In the folder laserplasma open a console and run the commands to create the data for Figures (4) and (5) python3 lpi.py to create Figures (4) and (5) python3 lpi_globalerr.py python3 lpi_svals_maxint.py In the folder sinegordon open a console and run the commands to create the data for Figures (6) and (7) python3 sineg.py to create Figures (6) and (7) python3 sineg_globalerr_ranks.py
Numerical experiments for "Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations"
Processed micro-tomographic scan of the ant Mesoponera subiridescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma balzani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys nepalensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proformica sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Research data and software for the publication: Separating large-scale superposition and modulation in turbulent channels, J. Fluid Mech. 958, A37 (2023). For detailed instructions about this repository, please consult the README.html or README.md file.
Data for the publication: Separating large-scale superposition and modulation in turbulent channels
The ANCISTRUS package derives atmospheric circulation from MIPAS/ENVISAT monthly mean VMR distributions. For detailed description of the method and its validation, see publications 10.5194/acp-16-14563-2016 and 10.5194/acp-2020-72. The Processor Library is a Fortran 90 collection of general computing tools used also in the MIPAS/ENVISAT data processor and elsewhere. Unpack with 'tar xvzf ancistrus_software.tar.gz'. This version of ANCISTRUS is only provided for validation of its functionality and the results in the publications 10.5194/acp-2020-72 and 10.5194/acp-2019-704 and not released for distribution of the original or modified versions. The Processor library is licensed under LGPLv2.1 and may be modified and distributed under the terms of that license. For detailed information, see the README and html documentation inside.
ANCISTRUS software version 1.0.8.6 Processor library version 1.8.0
ANCISTRUS software and Processor library
Processed micro-tomographic scan of the ant Manica rubida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius flavus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The superconductor BaNi$_2$As$_2$ exhibits a soft-phonon-driven, incommensurate charge density wave (I-CDW) which emerges in the vicinity of an orthorhombic structural phase transition. Upon further cooling, BaNi$_2$As$_2$ undergoes a first-order structural transition to a triclinic phase in which a commensurate CDW (C-CDW) emerges. The relationship and interplay between the I-CDW, C-CDW and structural phase transitions has remained elusive. To investigate this issue, we present a complementary study of thermal diffuse X-Ray scattering and inelastic X-Ray scattering of both the I-CDW and C-CDW for phosphorus substituted BaNi$_2$(As$_{1-x}$P$_x$)$_2$ up to \(x\approx0.12\) and down to 2.2 K.
The data set is divided into inelastic x-ray scattering (IXS) and diffuse x-ray scattering (DS) data. Then, for each method, the data is separated into the different samples. The IXS data is the complete SPEC file including all alignment scans and the actual measurement scans. The DS data are the raw image files from the Pilatus3 X 1M detector. The file format is the Dectris CBF file format and includes additional metadata about the measurement conditions. Each folder contains all images of a scan. The folder names indicate the measured temperature and, if applicable, the gamma angle of the detector. The measurements were performed at the main station (IXS) and the side station (DS) of the beamline ID28 at the ESRF.
Charge density waves and soft phonon evolution in the superconductor BaNi$_2$(As$_{1-x}$P$_x$)$_2$ [Dataset]
Processed micro-tomographic scan of the ant Formica cf fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Crop residue management for cereals on a 0.5° global grid on an annual time-scale (1997- 2021). The dataset is based on a collection of existing data sources including livestock, numbers and diets, biomass burning, and residue production ratios. For each grid cell, we estimate the total production residue from cereal crops and determine 1) residues for livestock feed and bedding, 2) residues burned on the field 3) residues used for other off-field purposes and 4) residues left on the field.
Global crop residue management dataset (1997 - 2021)
A detailed description of the data is given on the corresponding Github-page (https://github.com/benediktschulz/paper_pp_wind_gusts).
Datensatz zu Schulz und Lerch (2022): "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison", Monthly Weather Review, 150 (1), 235-257, https://doi.org/10.1175/MWR-D-21-0150.1. Die Daten beinhalten die NWV-Vorhersagen und dazugehörigen Beobachtungen im gesamten Zeitraum von 2010 bis 2016 sowie die nachbearbeiteten Vorhersagen im Testzeitraum 2016. Weiter sind noch die Stationsdaten sowie die berechneten Scores im Testzeitraum enthalten. Die NWV-Vorhersagen beinhalten die einzelnen Ensemble-Member der Windböen-Vorhersage sowie die Mittelwerte und Standardabweichungen der anderen Ensemble-Variablen. Zusätzlich zu den nachbearbeiteten Vorhersagen sind auch Informationen zu den trainierten Modellen verfügbar (bspw. geschätzte Parameter).
Data set for Schulz and Lerch (2022): "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison", Monthly Weather Review, 150 (1), 235-257, https://doi.org/10.1175/MWR-D-21-0150.1. The data includes the NWP forecasts and corresponding observations for the entire period from 2010 to 2016 as well as the postprocessed forecasts for the test period 2016. The station data and the calculated scores for the test period are also included. The NWP forecasts contain the individual ensemble members of the wind gust forecast as well as the ensemble mean and standard deviation values of the other ensemble variables. In addition to the postprocessed forecasts, information on the trained models is also available (e.g., estimated parameters).
Machine Learning Methods for Postprocessing Ensemble Forecasts of Wind Gusts: Data
Processed micro-tomographic scan of the ant Carebara affinis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium tsushimae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lordomyrma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
Data included consists of .csv files of the kMC results. The data can be viewed in Excell, and is labeled based on its corresponding Figure.
Insights on SEI Growth and Properties in Na-Ion Batteries via Physically Driven Kinetic Monte Carlo Model
Processed micro-tomographic scan of the ant Acropyga silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys gaigei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Parasyscia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lepisiota capensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Trachymyrmex carinatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Karlsruhe Institute of Technology, Campus Alpin, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Increasing frequencies of droughts require proactive preparedness, particularly in semi-arid regions. As forecasting of such hydrometeorological extremes several months ahead allows for necessary climate proofing, we assess the potential economic value of the seasonal forecasting system SEAS5 for decision making in water management. For seven drought-prone regions analyzed in America, Africa, and Asia, the relative frequency of drought months significantly increased from 10 to 30% between 1981 and 2018. We demonstrate that seasonal forecast-based action for droughts achieves potential economic savings up to 70% of those from optimal early action. For very warm months and droughts, savings of at least 20% occur even for forecast horizons of several months. Our in-depth analysis for the Upper-Atbara dam in Sudan reveals avoidable losses of 16 Mio US$ in one example year for early-action based drought reservoir operation. These findings stress the advantage and necessity of considering seasonal forecasts in hydrological decision making.
The dataset contains the time series (ensemble forecasts, reanalysis data) and shape files which have been used for computing the different indicators in the article "Seasonal forecasts offer economic benefit for hydrological decision making in semi-arid regions".
Seasonal forecasts, drought, climate trends, reanalysis, ERA5, SEAS5
Processed micro-tomographic scan of the ant Dinoponera quadriceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
DAMAST-KIT-Spartak: oriented drill core data
Processed micro-tomographic scan of the ant Gnamptogenys reinchenspergeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes atratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Vollenhovia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dacetinops sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Goniomma hispanicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
These are the experimental data for the paper> Bach, Jakob, and Klemens Böhm. "Alternative feature selection with user control" published in the [International Journal of Data Science and Analytics](https://link.springer.com/journal/41060) in 2024. You can find the paper [here](https://doi.org/10.1007/s41060-024-00527-8) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Alternative feature selection with user control" These are the experimental data for the paper> Bach, Jakob, and Klemens Böhm. "Alternative feature selection with user control" published in the [International Journal of Data Science and Analytics](https://link.springer.com/journal/41060) in 2024. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). The commit hash for the last run of the evaluation pipeline (`run_evaluation_journal.py`) is [`758b71e70b`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/758b71e70b941a54c88bda17a5591698dafcc03c). We also tagged both commits (`run-2023-06-23` and `evaluation-2024-03-19`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_journal.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_journal.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three feature-selection methods (*FCBF*, *MI*, *Model Importance*) have the range `[0,1]`, while two methods (*mRMR*, *Greedy Wrapper*) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. The interpretation of this value depends on the feature-selection method. For white-box feature-selection methods, this value corresponds to one solver call. For wrapper feature selection, we record the total runtime of the *Greedy Wrapper* algorithm, which calls the solver and trains prediction models multiple times. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver; for wrapper feature selection, this is only the status of the last solver call and only refers to a satisfiability problem rather than the (black-box) optimization problem. - 0 = (proven as) optimal - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for simultaneous search, but always `10` for sequential search. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for simultaneous search but always sum-aggregation for sequential search. (In fact, sequential search only optimizes individual feature sets anyway, so the aggregation does not matter for the search.) - `search_name` (string, 2 different values): The name of the search method for alternatives (`search_sequentially` or `search_simultaneously`). - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= *Model Gain* in the paper), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
Experimental Data for the Paper "Alternative feature selection with user control"
The dataset contains electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab (ESHL) at Karlsruhe Institute of Technology. During the experiment two tenants lived their daily life in the ESHL, a smart home consisting of a 60m² living area and a 20m² technical room. The dataset contains the electrical consumption data for every device and socket in the living area as well as the technical room. There is one set for the average electricity demand per 15min for all devices in the living room, one set for the average demand per 15min for all devices in the technical room, one set for the maximum demand per 15min for the devices in the living room and one set for the maximum demand per 15min for the devices in the technical room. Due to technical difficulties the recording for the devices in the technical room started two weeks after the recording of the living area. There are also some shorter gaps in the data due to power outages. In addition to the electrical consumption data, a timeseries for the outdoor temperature with a temporal resolution of 15min is included in the dataset.
Electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab
Deutsches Zentrum für Luft- und Raumfahrt
Detailed information on the GLORIA data can be found at: Johansson, S., Woiwode, W., Höpfner, M., Friedl-Vallon, F., Kleinert, A., Kretschmer, E., Latzko, T., Orphal, J., Preusse, P., Ungermann, J., Santee, M. L., Jurkat-Witschas, T., Marsing, A., Voigt, C., Giez, A., Krämer, M., Rolf, C., Zahn, A., Engel, A., Sinnhuber, B.-M., & Oelhaf, H. (2018), Airborne limb-imaging measurements of temperature, HNO3, O3, ClONO2, H2O and CFC-12 during the Arctic winter 2015/2016: characterization, in situ validation and comparison to Aura/MLS. Atmos. Meas. Tech., 11, 4737–4756. doi.org/10.5194/amt-11-4737-2018 Ungermann, J., Kleinert, A., Maucher, G., Bartolomé, I., Friedl-Vallon, F., Johansson, S., Krasauskas, L., & Neubert, T. (2022), Quantification and mitigation of the instrument effects and uncertainties of the airborne limb imaging FTIR GLORIA. Atmos. Meas. Tech., 15, 2503–2530. doi.org/10.5194/amt-15-2503-2022 Detailed information on the ALIMA data can be found at: Rapp, M., Kaifler, B., Dörnbrack, A., Gisinger, S., Mixa, T., Reichert, R., Kaifler, N., Knobloch, S., Eckert, R., Wildmann, N., Giez, A., Krasauskas, L., Preusse, P., Geldenhuys, M., Riese, M., Woiwode, W., Friedl-Vallon, F., Sinnhuber, B., Torre, A. d. l., Alexander, P., Hormaechea, J. L., Janches, D., Garhammer, M., Chau, J. L., Conte, J. F., Hoor, P., & Engel, A. (2021), SOUTHTRAC-GW: An Airborne Field Campaign to Explore Gravity Wave Dynamics at the World’s Strongest Hotspot. Bulletin of the American Meteorological Society, 102(4), E871-E893. doi.org/10.1175/BAMS-D-20-0034.1 Kaifler, B., & Kaifler, N. (2021), A Compact Rayleigh Autonomous Lidar (CORAL) for the middle atmosphere. Atmos. Meas. Tech., 14, 1715–1732. doi.org/10.5194/amt-14-1715-2021 Detailed information on the BAHAMAS data can be found at: Krautstrunk, M., & Giez, A. (2012), The Transition from FALCON to HALO era airborne atmospheric research. in: Atmospheric Physics, edited by: Schumann, U., Research Topics in Aerospace, Springer Verlag, Berlin, 609–624. doi.org/10.1007/978-3-642-30183-4_37 Giez, A., Mallaun, C., Nenakhov, V., & Zöger, M. (2021), Calibration of a Nose Boom Mounted Airflow Sensor on an Atmospheric Research Aircraft by Inflight Maneuvers (Tech. Rep. No. 2021-17). Oberpfaffenhofen: DLR. Retrieved from https://elib.dlr.de/145969/
This dataset includes airborne observations together with forecasts and analyses that were used to study non-orographic gravity waves during research flight ST10 of the SouthTRAC campaign. The flight was carried out by the German research aircraft HALO (High Altitude and LOng Range Research Aircraft) on 16 and 17 September 2019 from Rio Grande, Tierra del Fuego, Argentina. The airborne observations include remote sensing observations of temperature and trace gases by GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere by KIT and Forschungszentrum Jülich) and temperature by ALIMA (Airborne LIdar for Middle Atmosphere research by DLR-IPA). Furthermore, airborne in situ observations of temperature, the three wind components and further parameters by BAHAMAS (Basic Halo Measurement and Sensor System by DLR-FX) at a data rate of 10 Hz and 100 Hz are included. The observations are also available via the HALO database (https://halo-db.pa.op.dlr.de/ongoing_subset/1108). The forecasts and analyses include deterministic short-term forecasts and six-hourly operational analyses from the integrated forecast system (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). ECMWF IFS data are available at https://www.ecmwf.int/en/forecasts. The terms of use by the ECMWF apply.
GLORIA, ALIMA, BAHAMAS and ECMWF IFS data for SouthTRAC flight 10 from 16 to 17 September 2019
Processed micro-tomographic scan of the ant Polyergus rufescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of face masks (Mask) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V3 (videos)
Column names indicate parameter and resulting KPI values, row indizees indicate unique part number location combination
Aggregated and anonymized results on which graphics in associated dissertation base
Parameters and KPIs from the Real Data Use Case of Dissertation
Processed micro-tomographic scan of the ant Pheidole nubila, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Contains TopSpin raw data and high-resolution figures
Hyperpolarized pyruvate is a widely used marker to track metabolism in vivo and a benchmark molecule for hyperpolarization methods. Here, we show how a combination of improved bullet-DNP instrumentation, an optimized sample preparation and a further sensitivity increase via a 13C–1H polarization transfer after dissolution enable the observation of pyruvate at a concentration of 250 nM immediately after dissolution. At this concentration, the experiment employs a total mass of pyruvate of only 20 ng or 180 pmol. If the concentration is increased to 45 μM, pyruvate may be detected 1 min after dissolution with a signal-to-noise ratio exceeding 50. The procedure can be extended to observe a mixture of amino acids at low micromolar concentrations.
Bullet-DNP enables NMR Spectroscopy of Pyruvate and Amino Acids at Nanomolar to Low Micromolar Concentrations (Datasets)
Processed micro-tomographic scan of the ant Phrynoponera gabonensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proceratium japonicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus mystaceus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis lucidula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ravavy afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dacatria templaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla obscurior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sericomyrmex bondari, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Das Modell ermöglicht die Simulation des tangential-schlagenden Anziehprozesses mit dem Schlagschrauber. Zur Erzeugung von anwendungsnahen Ergebnissen ist eine Parametrierung auf den gegebenen Anwendungsfall erforderlich.
Simulationsmodell des tangential-schlagenden Anziehprozesses von Schraubenverbindungen
Processed micro-tomographic scan of the ant Aphaenogaster gonacantha, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V2 (videos)
Processed micro-tomographic scan of the ant Aphaenogaster lepida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0021, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0021 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Prionopelta amabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code has been used for the numerical experiments in the thesis "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations" by Benjamin Dörich, see https://www.doi.org/10.5445/IR/1000130187.
## Readme This program is intended to reproduce the results from the thesis "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations" by Benjamin Dörich #### Requirements The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: - numpy - 1.15.4 - scipy - 1.4.1 - matplotlib - 3.2.1 - tikzplotlib - 0.9.6 (quasilinear only:) - dolfin - 2018.1.0 - fenics - 2018.1.0 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: - numpy - 1.19.2 - scipy - 1.5.1 - matplotlib - 3.3.2 - tikzplotlib - 0.9.4 (quasilinear only:) - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figure 4.2 In the folder "semilinear_low_reg/Fig_convergence" open a console and run the following commands after each other. 1) Run "python3 run_diss_Strang_N_2pw09.py" 2) Run "python3 run_diss_Strang_N_2pw10.py" 3) Run "python3 run_diss_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files. #### Figure 4.3 In the folder "semilinear_low_reg/Fig_inner_filter" open a console and run the following commands after each other. 1) Run "python3 run_diss_Strang_N_2pw09.py" 2) Run "python3 run_diss_Strang_N_2pw10.py" 3) Run "python3 run_diss_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files. #### Figure 7.1 In the folder "quasilinear_expo" open a console and run the following commands after each other. 1) Run "python3 1_generate_initial_matrices.py" 2) Run "python3 2_diss_run_reference_solution.py" 3) Run "python3 3_diss_run_Euler_X.py" 4) Run "python3 4_diss_run_Euler_Y.py" 5) Run "python3 5_diss_run_midpoint.py" After running the calculations, the errors can be found in the folder "quasilinear_expo/extracted_data/". (a) settings_* contains the information of the config file (b) infos_* contains the computed errors (c) plot_* contains a tikz-file which gives the plot for the Euler and the midpoint rule separately.
Numerical experiments to "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations"
Video from GoPro images taken in limb-view during the flight of the GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere) infrared spectrometer on a stratospheric balloon during the HEMERA measurement campaign from Timmins/Canada in August 2022. Update of https://doi.org/10.5445/IR/1000158826 (now: high-resolution version for download, no black bars on side). High resolution version of https://doi.org/10.5445/IR/1000159524
GLORIA@HEMERA large stratospheric balloon campaign Timmins/Canada August 2022-update: high-resolution version of https://doi.org/10.5445/IR/1000159524
Processed micro-tomographic scan of the ant Rasopone ferruginea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus cf bicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cryptopone okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma transversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex brevispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plagiolepis alluaudi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrachymyrmex cf intermedius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Analysis (IANA), Karlsruher Institut für Technologie (KIT)
This program is intended to reproduce the results from the preprint "Improved error estimates for low-regularity integrators using space-time bounds" by Maximilian Ruff The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Figure 1 and Table 1: Run "run_schr.py" Parts of the code relies on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189.
Numerical experiment to "Improved error estimates for low-regularity integrators using space-time bounds"
Processed micro-tomographic scan of the ant Trichomyrmex destructor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica jessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys kitteli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium brevispinosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ziel des Datensatzes ist das Training sowie die Validierung von Modellen zur Prognose von Zeitreihen für Fräsprozesse. Hierfür wurden an einer DMG CMX 600 V durch eine Siemens Industrial Edge Prozesse mit einer Abtastrate von 500 Hz aufgenommen. Es wurde ein Prozess für das Modelltraining und ein Prozess für die Validierung aufgenommen, welche sowohl für die Bearbeitung von Stahl sowie von Aluminium verwendet wurden. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) aufgenommen, um möglichst viele Fälle abdecken zu können.
Documents: -Design of Experiments: Information on the paths such as the technological values of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders for training and validation both with and without the workpiece. In the next level, the individual test executions are located. The individual recordings are stored in the form of a JSON file. This consists of a header with all relevant information such as the signal sources. This is followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine -Workpiece: Pictures of the raw parts as well as the machined workpieces. The pictures show the unfinished part on the left, the training part in the middle and a part with two validation runs on the right. Experimental data: -Machine: DMG CMX 600 V -Material: S235JR, 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
The aim of the data set is the training as well as the validation of models for the prediction of time series for milling processes. For this purpose, processes with a sampling rate of 500 Hz were recorded on a DMG CMX 600 V by a Siemens Industrial Edge. A process for model training and a process for validation were recorded, which were used for both steel and aluminum machining. Several recordings were made with and without the workpiece (aircut) in order to cover as many cases as possible.
Training and validation dataset of milling processes for time series prediction
The data for all simulations discussed in the main paper are provided as Numpy npz files. See the readme file for a detailed description of the file contents.
Heterogeneous roughness in the form of streamwise aligned strips is known to generate large scale secondary motions under turbulent flow conditions that can induce the intriguing feature of larger flow rates above rough than smooth surface parts. The hydrodynamical definition of a surface roughness includes a large scale separation between the roughness height and the boundary layer thickness which is directly related to the fact that the drag of a laminar flow is not altered by the presence of roughness. Existing simplified approaches for direct numerical simulation (DNS) of roughness strips do not fulfill this requirement of an unmodified laminar base flow compared to a smooth wall reference. It is shown that disturbances induced in a modified laminar base flow can trigger large scale motions with resemblance to turbulent secondary flow. We propose a simple roughness model that allows to capture the particular features of turbulent secondary flow without impacting the laminar base flow. The roughness model is based on the prescription of a spanwise slip length, a quantity that can directly be translated into the Hama roughness function for a homogeneous rough surface. The heterogeneous application of the slip length boundary condition results in very good agreement with existing experimental data in terms of the secondary flow topology. In addition, the proposed modelling approach allows to quantitatively evaluate the drag increasing contribution of the secondary flow. Both the secondary flow itself and the related drag increase reveal a very small dependence on the gradient of the transition between rough and smooth surface parts only. Interestingly, the observed drag increase due to secondary flows above the modelled roughness is significantly smaller than the one previously reported for roughness resolving simulations. We hypothesize that this difference arises from the fact that roughness resolving simulations cannot truly fulfill the requirement of large scale separation.
Dataset: Simulation of turbulent flow over roughness strips
Processed micro-tomographic scan of the ant Megalomyrmex aff goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0006, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0006 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This Supplemental Data Packet contains the raw data, simulation code and analysis scripts used in the above mentioned publication
Supplemental Data to "Band resolved Caroli-de Gennes-Matricon states of multiple-flux-quanta vortices in a multi-band superconductor"
DeMott_et_al_FIN-02_AMTpaper_directproc_datatable.csv and DeMott_et_al_FIN-02_AMTpaper_postproc_datatable.csv data table from DeMott et al. (2018), AMT, Supplement Table 1 and 2, resp. DeMott_et_al_FIN-02_AMTpaper_*.txt are the corresponding descriptions for the datatables DeMott_et_al_FIN-02_AMTpaper_asd_AIDA12_-648.csv: AIDA aerosol size distribution for experiment 12 and DeMott_et_al_FIN-02_AMTpaper_asd_APC12.zip: APC aerosol size distribution for experiment 12 as shown in Figure 2
INP and aerosol size distribution data from the FIN02 campaign in March 2015
Processed micro-tomographic scan of the ant Temnothorax anacanthus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Typhlomyrmex cf pusillus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The results are simulated with COSMO_5.0_clm9 coupled to the Land Surface Model VEG3D for the EURO-CORDEX domain. The forcing dataset is ERA-Interim. After extracting the zip-file, the results are stored in two directories. 'hyd_cond_new' contains the results for the new hydraulic conductivity function, 'hyd_cond_old' for the old one.
Monthly Mean values of sensible and latent heat fluxes, 2 meter temperature, net longwave and net shortwave radiation and cloud cover, for the period 2001-2010
Processed micro-tomographic scan of the ant Carebara sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Model results from ExoTIC for chemical species of HOCl, ClONO2, ozone and NOy for MIPAS inter-comparison are stored. Model results with MIPAS averaging kernels applied are also stored here along with zonal averaged MIPAS data. The simulations are carried out for the Halloween SPE of 2003 using ionisation rates from AISstorm for the MIPAS comparison. Model data for the comparison of Halloween SPE 2003 and an extreme solar event of 775 A.D. are stored as well. More information about the naming conventions is given in Description of datasets.pdf.
ExoTIC model results for model-measurement inter-comparison with MIPAS; ExoTIC model results for comparison of Halloween SPE and extreme event of 775 A.D.
Cyclic voltammetry simulation code comprises of ORCA output files parser (parsers.py) which extracts thermodynamic results of quantum chemical calculations. database_builder.py collects thermodynaimc data from ORCA calculations to .csv table. data_manager.py generates all possible combinations of species from .csv table generated by database_builder.py and creates a table with reaction thermodynamic and kinetic parameters. CV.py code produces cyclic voltammetry simulation of a system of reaction from the reactions database generated by data_manager.py. data.py file contains experimental values of solvents dielectric permitivities and refractive indexes, and also includes data about solvents viscosity. To use this code execute Main_code.py which links all previously mentioned files all together.
Ab initio Kinetics of Electrochemical Reactions using Computational Ferrocenium Electrode - Simulation code
Processed micro-tomographic scan of the ant Paraparatrechina sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data was processed using TopSpin software from Bruker, Germany
Direct Chiral discrimination with NMR: Experiment Dataset
Processed micro-tomographic scan of the ant Monomorium pharaonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
These are raw data of the manuscript titled "A cryogen-free, semi-automated apparatus for bullet-dynamic nuclear polarization with improved resolution", submitted to Magnetic Resonance for peer review.
NMR 1-13C Experiments on hyperpolarized pyruvic acid (TopSpin data)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0021, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0021 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
rem- und STEM-Bilder; Reibungsrohdaten, EBSD- und TKD-Rohdaten; EDX-Rohdaten
Rohdaten zu Manuskript Antje Dollmann et al.; November 2019
A README.md in german language is included in the Archive
Software zur Überprüfung von Schutzzielen der Informationssicherheit durch Aufzeichnung und Wiedergabe virtueller Maschinen
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V2 (videos)
Processed micro-tomographic scan of the ant Mesoponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lioponera daikoku, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Iridomyrmex anceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Nonlocal interaction engineering of 2D roton-like dispersion relations in acoustic and mechanical metamaterials
Processed micro-tomographic scan of the ant Pheidole pieli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Electrical Conductivity and Photodetection in 3D-Printed Nanoporous Structures via Solution-Processed Functional Materials
Institut für Thermische Verfahrenstechnik (TVT), Karlsruher Institut für Technologie (KIT)
Ready-to-use database (*.dat) for the open-source software PHREEQC optimized for the thermodynamic modelling of Cu/Zn based electrolytes (e.g. in the preparation of Cu/ZnO catalysts). Additional calculations are available in a *.xlsx file.
PHREEQC database for the thermodynamic modelling of Cu/Zn based catalyst precursors
Processed micro-tomographic scan of the ant Kartidris sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0003, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0003 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
openCARP is an open cardiac electrophysiology simulator for in-silico experiments.
Processed micro-tomographic scan of the ant Cardiocondyla minutior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sphinctomyrmex stali, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma schultzei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0030, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0030 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Eciton rapax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis aenescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Bundesministerium für Wirtschaft und Energie
Übersicht KAMO-Datensätze: www.kamo.one/datensatz
Institut für Angewandte Geowissenschaften
Appendices containing the Supplemental Files for the doctoral thesis titled "Impact Structures: How post-impact thermal conditions influence magnetic behaviour"
Appendices - Impact Structures: How post-impact thermal conditions influence magnetic behaviour
This repository contains a curated collection of IEC 61850 Substation Configuration Description (SCD) files, generated and validated in controlled test laboratory environments. The files reflect real-world substation automation and protection system configurations but do not represent live operational systems. They are provided to enable open research and experimentation within the power systems and cybersecurity domains. Each file follows the IEC 61850 Substation Configuration Language (SCL) standard, which defines the XML-based structure for describing substations, devices, communication networks, and logical data models. To assist researchers, key metadata has been extracted and formatted as structured JSON summaries. SCD Files – Complete substation configurations, including multiple IEDs, communication networks, and logical nodes. JSON Metadata – Parsed metadata for each file, containing: * Header details (version, revision, tool ID) * Substation topology (if present) * Communication parameters * IED manufacturer and configuration info * DataTypeTemplates summary (data model definitions) Purpose and Usage The dataset supports research in: Cybersecurity testing and resilience for substation communication networks Interoperability and standard compliance across vendor IEDs Machine learning and automation in configuration management Topology and semantic analysis of IEC 61850 data models Researchers and developers are encouraged to use this dataset for non-commercial academic and research purposes, especially in: Network intrusion detection and anomaly detection models Validation of secure communication architectures Training and testing of IEC 61850 configuration parsers License and Disclaimer This dataset is distributed under an open research license. You are free to use, modify, and share the files for research and educational purposes, provided that proper citation is given. Disclaimer: The files originate from simulated and test bed environments. No operational or confidential power system data is included. Use of this dataset is at your own discretion, and the maintainers assume no liability for derived work.
This dataset contains a collection of IEC 61850 System Configuration Description (SCD) files extracted from substation automation and protection system projects. Each file follows the Substation Configuration Language (SCL) defined in the IEC 61850 standard and encodes detailed engineering metadata for intelligent electronic devices (IEDs), communication networks, and data models used in electric power substations. The dataset was curated to support research and benchmarking in the areas of: Cybersecurity of IEC 61850 Substation systems Metadata from each file (Header, Substation, Communication, IED, and DataTypeTemplates sections) has been parsed and exported into corresponding JSON summaries to facilitate machine-readable search, indexing, and comparative analysis. These files represent complete substation configurations (SCD) created using vendor-specific tools such as RTDS Configurator, SEL AcSELerator, and OMICRON IEDScout. Duplicate and structurally similar files have been identified and documented. Researchers may use this dataset to explore schema variations, conduct cybersecurity experiments, validate SCL structures against IEC 61850 editions, develop interoperability frameworks, or train models for automated configuration management. Sensitive operational data has been excluded to maintain compliance with information-sharing and cybersecurity best practices.
IEC 61850 Data sets (SCD files) and their Metadata
Processed micro-tomographic scan of the ant Strumigenys precava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Melissotarsus emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Department of Prosthetic Dentistry, Center for Dental Medicine, Medical Center - University of Freiburg
Department of Oral Biotechnology, Center for Dental Medicine, Medical Center ‑ University of Freiburg
G.E.R.N. Center for Tissue Replacement, Regeneration & Neogenesis; Department of Prosthetic Dentistry, Center for Dental Medicine, Medical Center - University of Freiburg
zirconia; nano-/microparticles; Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS); human alveolar bone; alamarBlue assay
Identification of zirconia nanoparticle internalization into osteoblasts by ToF-SIMS reveals size-dependent effects on mitochondrial activity
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.923/2015 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2005 - 2014
Institut für Angewandte Informatik und Formale Beschreibungsverfahren
Numerous business workflows involve printed forms, such as invoices or receipts, which are often manually digitalized to persistently search or store the data. As hardware scanners are costly and inflexible, smartphones are increasingly used for digitalization. Here, processing algorithms need to deal with prevailing environmental factors, such as shadows or crumples. Current state-of-the-art approaches learn supervised image dewarping models based on pairs of raw images and rectification meshes. The available results show promising predictive accuracies for dewarping, but generated errors still lead to sub-optimal information retrieval. In this paper, we explore the potential of improving dewarping models using additional, structured information in the form of invoice templates. We provide two core contributions: (1) a novel dataset, referred to as Inv3D, comprising synthetic and real-world high-resolution invoice images with structural templates, rectification meshes, and a multiplicity of per-pixel supervision signals and (2) a novel image dewarping algorithm, which extends the state-of-the-art approach GeoTr to leverage structural templates using attention. Our extensive evaluation includes an implementation of DewarpNet and shows that exploiting structured templates can improve the performance for image dewarping. We report superior performance for the proposed algorithm on our new benchmark for all metrics, including an improved local distortion of 26.1 %. We made our new dataset and all code publicly available at https://felixhertlein.github.io/inv3d.
Each sample contains the following files: "flat_document.png" (2200x1700x3, uint8, 0-255), showcasing a document in perfect condition. "flat_information_delta.png" displays all texts which represent invoice data (2200x1700x3, uint8, 0-255). "flat_template.png" is an empty invoice template (2200x1700x3, uint8, 0-255). "flat_text_mask.png" visually presents all texts shown in the given document (2200x1700x3, uint8, 0-255). "warped_angle.png" shows warping-induced x- and y-axis angle (1600x1600x2, float32, -Pi to Pi). "warped_albedo.png" is an albedo map (1600x1600x3, uint8, 0-255). "warped_BM.npz" stores backward mapping, i. e. the realtive pixel shift from warped to normalized image for each pixel shifts (1600x1600x2, float32, 0-1). "warped_curvature.npz" has pixel-wise curvature of the warped document (1600x1600x1, float32, 0-inf). "warped_depth.npz" holds per-pixel depth between camera and document (1600x1600x3, float32, 0-inf). "warped_document.png" displays the warped document (1600x1600x3, uint8, 0-255). "warped_normal.npz" contains warped document normals (1600x1600x3, float32, -inf to inf). "warped_recon.png" features a chess-textured warped document (1600x1600x3, uint8, 0-255). "warped_text_mask.npz" is a boolean text pixel mask (1600x1600x1, bool8, True/False). "warped_UV.npz" stores warped texture coordinates (1600x1600x3, float32, 0-1). "warped_WC.npz" includes document coordinates in the 3D space (1600x1600x3, float32, -inf to inf). For more details see https://github.com/FelixHertlein/inv3d-generator. Released under CC BY-NC-SA 4.0. Excluded files are listed in 'restricted-license-files.txt' (located in record with DOI 10.35097/1730, "Inv3D: a high-resolution 3D invoice dataset for template-driven Single-Image Document Unwarping - Metadata"). These are for academic use only.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 1 of 4
%%%%% How to interpret the simulation results %%%%%: %%% Main folder naming %%%: "village-future": The simulation scenario (grid and building configuration) "hhOpt": Buildings (households) can optimize their internal energy flows "ONT/RONT": Normal distribution transformer/voltage regulated distribution transformer (VRDT) "QEMS": Quarter energy management system, means that at least one grid control strategy is used "P/Q/PQ/noPQ/noControl": P=active power targets can be used, Q=reactive power control can be used, noPQ=only VRDT can be used, noControl=no grid control at all "full/local-only": Centralized/decentralized grid control strategy "GSUI-60": Grid simulation update interval=60 seconds "d_1970_6_30_0": Start of simulated time is 30 June 1970 00:00 AM %%% Subfolder naming %%%: "s_13749851": Random seed configuration "run_2021-05-25-16-38-29": Starting time of simulation run %%% Subsubfolder naming %%%: "nodeX": Folder for a particular building, numbered according to the grid node, where each building is connected %%% Log files for the entire grid %%%: In general: currentTick is given in Unix time activePowerLog: Active power progressions at all grid nodes in Watt reactivePowerLog: Reactive power progressions at all grid nodes in Var buildingsAggregatedLog: Various power progressions aggregated for all buildings in the grid in Watt currentLog: Current progressions for all lines in the grid in Ampere gridSimulationAggregated: Various grid characteristics aggregated over the entire simulation run, voltages and line utilizations are normalized to nominal values mediumVoltageAggregated: Aggregated characteristics of the voltage at the primary side of the transformer in pu mediumVoltageLog: Progression of the voltage at the primary side of the transformer in pu transformerAggregatedLog: Aggregated characteristics of the transformer, temperatures are given in °C, remaining values have to unit transformerStepLog:Progression of VRDT steps, remains 0 if no VRDT is used, no unit transformerTemperatureLog: Progression of various transformer characteristics, temperatures are given in °C, remaining values have to unit voltageLog: Progressions of voltages at all nodes in the grid in pu %%% Log files for specific buildings %%%: DISHWASHER/DRYER/ELECTRICSTOVE/INDUCTIONCOOKTOP/WASHINGMACHINE: TOTAL=number of planned appliance runs, AVGTOTAL=number of expected appliance runs based on probality distributions, REALTOTAL=number of realized appliance runs, TOTAL0/TOTAL1=number of realized appliance runs for different running profiles batteryLog: Progressions of battery energy storage system active charge/discharge power in Watt, reactive charge/discharge power in Var and state of charge in Watt*second, positive values denote charging, negative values discharging electricVehicleLog: Progressions of electric vehicle active charge power in Watt, reactive charge power in Var powerLog: Progressions of various building powers in Watt, prices and costs in Euro-cent simResultsAggregated: Various aggregated energy amounts in kWh and costs in Euro-cent
Simulation Results for the Evaluation of Strategies for an Adaptive Grid Control System Using Smart Buildings
Processed micro-tomographic scan of the ant Aphaenogaster famelica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data points from figures can be obtained by csv-files. These files are named after the number of the respective figure. The technical conditions under which the data were recorded can be obtained from the text at the respective position in the paper.
The integrity of metallic interconnectors (MIC) in an SOC-stack is crucial since contact resistances or limitations in gas supply may occur. In this contribution, a Crofer 22 APU$^®$ interconnector with a $\textrm{(Mn, Co, Fe)}_{3}\textrm{O}_{4}$ spinel oxide (MCO) coating and a lanthanum-strontium-manganese-cobalt oxide (LSMC) contact layer at the air side was investigated. The electrochemical behavior was characterized by means of IV-characteristics, impedance spectroscopy and DRT analysis. In particular, the contact losses at the air side were measured with targeted potential probes. With respect to the contact layer mounted in a dried state, the application of a stack-like clamping pressure of 1 MPa showed a significant decrease of the contact resistance. In order to extend an existing zero-dimensional performance model for an electrolyte-supported cell with a Ni/GDC fuel electrode and LSCF air electrode, a method was established to parameterize contact losses at the air electrode. The observed activation energy of the contact losses showed to be independent of the clamping pressure. Additionally, the dependency of the cell´s intrinsic ohmic losses towards the steam partial pressure at the Ni/GDC fuel electrode was quantified and included to the model. Simulation studies were validated with experimental data for technical operating conditions.
Stack-like Contacting in Solid Oxide Cells: Electrochemical Characterization and Modeling
Processed micro-tomographic scan of the ant OUTGROUP_Polistes formosanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dissertation_Kempter,Xenia_Gelatine-basierte Hydrogele fuer den 3D Biodruck von Gewebemodellen
Processed micro-tomographic scan of the ant Strumigenys kumadori, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The download package includes a README.md file which contains installation instructions and instructions on how to use the provided scripts
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging.
A microlocal and visual comparison of 2D Kirchhoff migration formulas - software package
Processed micro-tomographic scan of the ant Cryptopone sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole parva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given in 18 latitude bands, from 90S to 90N, each of 10 degrees large, and for 71 altitudes, from 0 to 71 km.
Regression coefficients of parametrisation of natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO$_2$, CH$_3$CL, HNO$_3$, N$_2$O$_5$, CCl$_4$, CFC$_{11}$, CFC$_{113}$, CFC$_{12}$, CH$_4$, ClO, ClONO$_2$, CO, CO$_2$, H$_2$O, HBr, HCl, HF, HNO$_4$, HO$_2$, HOBr, HOCl,, N$_2$O, NO, NO$_2$, NO$_3$, O$_3$, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project.
Regression Coefficients of parametrisation of function of natural atmospheric variability
Processed micro-tomographic scan of the ant Prenolepis naoroji, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica rufa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data comprise the ice nucleation measurements for the SOA, zeolite/SOM, and CFA/SOM particles with the two continuous flow diffusion chambers (CDFCs) INKA and mINKA. The provided zip-file contains four directories (Fig9, Fig10, Fig11, and Fig12) and the additional text file “info.txt”, which explains the contents of the directories and the structure of the data tables. All data tables can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "How Porosity Influences the Heterogeneous Ice Nucleation Ability of Secondary Organic Aerosol Particles" by Wagner et al. (2024) in the Journal of Geophysical Research (Atmospheres)
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Institute of Atmospheric Science and Climate, National Research Council of Italy, Bologna, Italy
Univ. Grenoble Alpes, CNRS, IRD, G-INP, Institut des Géosciences de l’Environnement, Grenoble, France
Dataset for the paper entitled "AIDA Arctic transport experiment part 1: simulation of northward transport and ageing effect on fundamental black carbon properties" by Zanatta et al. (2025)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0024, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0024 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This is the MUSICA IASI dataset of {H2O, dD} pairs used for the publication "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling" (Dahinden et al., 2021, https://doi.org/10.5194/acp-2021-269). It includes the MUSICA IASI {H2O, dD} pair results over Tenerife for the period July - August 2013. Information about the MUSICA IASI dataset can be found in Diekmann et al. (2021, https://doi.org/10.5194/essd-2021-87).
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues
Data for "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling"
The data of each figure is generally structured in a way that i) the linestyle is used to differentiate multiple curves within the same plot and ii) the color is used to subdivide the plot data into multiple files in case of ambiguity. For instance, data corresponding to a solid line is given by the two columns "xData_solid" and "yData_solid". The same naming structure is used for dashed lines, i.e., "xData_dashed" and "yData_dashed", and dotted lines, i.e., "xData_dotted" and "yData_dotted". To differentiate lines or bars with the same color, the data files are explicitly labeled with the respective legend entry. For example, a C-rate test comprising C/10, 1C and 2C discharge is organized into three distinct files, each file corresponding to one of the C-rates. The values in each data file are given in the units specified in the corresponding figure of the manuscript. In labels, a C-rate of C/10 and C/2 is described as "C10" and "C2", respectively. C-rates above 1C are used verbatim. For details on the performed experimental study, see the Experimental Section in the manuscript. For information about the SEI-extended cell model and its parameterization, see Computational Methods in the manuscript.
Research Data of the Publication "Origin of Performance Improvements in Lithium-Ion Cells after Fast Formation"
Processed micro-tomographic scan of the ant Liometopum microcephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys hirashimai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina ryukyuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmelachista ramulorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V1 (videos)
Processed micro-tomographic scan of the ant Camponotus nicobarensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica taediosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Terataner alluaudi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus orientalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the laboratory equipment, software, consumables, and tribological specimens utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Laboratory Equipment, Software, Consumables, and Tribological Specimens for Tribological Experiments - Sapphire on Copper - FAIR Dataset
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.4
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy" The data contains following file types: *.ang are electron backscatter diffraction datasets in ASCII format *.tif and *.jpg are raw images/micrographs from the manuscript in unedited form *.dat are data from graphs in the manuscript provided in ASCII format with header information about the data Temperatures are provided in °C. Stresses are given in MPa. Strains are given in 1 or % depnding on context. Durations are provided in h. Strain/creep rates are provided in 1/s. Phase fractions are provided in vol%.
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy"
The dataset collects research data related to the research on the high performance thermoplastic PEEK used as mold insert for ceramic injection molding.
Der Datensatz umfasst Forschungsdaten im Zusammenhang mit der Untersuchung des Hochleistungs-Thermoplasten PEEK, welcher als Formeinsatz für das Keramikspritzgießen verwendet wird.
Die hier gelisteten Forschungsdaten wurden teilweise für folgende Publikation verwendet: T. Hanemann, A. Klein, H. Walter, D. Wilhelm, S. Antusch, Evaluation of Material Extrusion Printed PEEK Mold Inserts for Usage in Ceramic Injection Molding, Journal of Manufacturing and Materials Processing, 8(4), 156 (2024), DOI: 10.3390/jmmp8040156.
Research on poly(ether ketone ketone) PEEK used as mold inserts
Processed micro-tomographic scan of the ant Euprenolepis cf wittei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica rubra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster vagula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus lighti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Micro-scaffolds as synthetic cell niches recent advances and challenges
Processed micro-tomographic scan of the ant Mycetophylax olitor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Readme Unzip the file. The source code is inside. ## Files - `main_DUNE.cpp` contains the main function, which calls `print_excl_curve<CLASS>(N_ threads, parameters..., EV, STEP_LEN, ...)`, which uses the predictor defined by `CLASS`, to find the `EV` events/year curve in parameter space starting at `parameters...`and using length `STEP_LEN`. For the pure dipole case, the mass-mixing parameter `Usq` is normally set to zero. Note that the program automatically uses `N_threads` threads, whose default value is 4. Use `run.sh` to use the correct number of processors. - In `pred_in_out_DUNE.hpp`, a wrapper class is defined, which contains both the inside- and outside-events predictor. - The files `predictor_DUNE.*` contain the class for the outside-events predictor. This class inherits from `predictor_base.hpp`, which deals with the precomputation and tabulation of the kinematic factors in the integrand, like the cross section and anything depending only on the momenta and scattering angle of the incoming and outgoing neutrino. It also inherits its constants from `consts/DUNE_{FD,ND}_consts.hpp`, which allows easy switching between the near-detector or far-detector geometry. - Similarly, the file `inside_pred_DUNE.hpp` defines the inside-events predictor, which also inherits its geometric constants from `consts/DUNE_{FD,ND}_consts.hpp`. - After running `compile-all.sh`, which compiles relevant `*.cpp` files into object files, run `compile-dune.sh`, which compiles `main_DUNE.cpp` with the object files into the binary `a.out`. Note that you have to recompile if changing class inheritance. To compile with debug flags, first run `compile-all.sh 1` and then `compile-dune-debug.sh`.
Institut für Funktionelle Grenzflächen - Chemische Biologie (IFG-CB), Karlsruher Institut für Technologie (IFG)
Federal Ministry of Education and Research
3D bioprinting, bioinks, hydrogels, cell encapsulation, gelatin, thiol-ene chemistry, tissue engineering
Tuning Superfast Curing Thiol-Norbornene-Functionalized Gelatin Hydrogels for 3D Bioprinting
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0005, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0005 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Pristomyrmex punctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus fulvopilosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga butteli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Biowissenschaften (IAB), Karlsruher Institut für Technologie (KIT)
Drug-induced differential gene expression analysis (DGEA) is an essential tool for uncovering the molecular basis of phenotypic changes in cells upon drug treatment, and ultimately for understanding the mechanisms of individual tumor responses to anticancer drugs. Performing high-throughput DGEA after drug treatment is challenging due to the very high cost and labor-intensive multi-step sample preparation protocols. In particular, performing drug-induced DGEA on cancer cells derived from patient biopsies is even more challenging due to the scarcity of available cells. We introduce a novel, miniaturized method operating at the nanoliter scale for drug-induced DGEA. This innovative approach facilitates high-throughput and parallel analysis of the drug response of cells derived from patients, effectively circumventing issues related to limited samples and the laborious nature of traditional protocols. The method is based on the Droplet Microarray (DMA) platform, a microscope glass slide with a pattern of hydrophilic spots separated by a superhydrophobic background, which enables the formation of droplets suitable for testing a minute number of cells with compounds. DMA allows for phenotypic analysis using microscopy, followed by obtaining cDNA from the treated cells and DGEA. The procedure involves cell lysis for mRNA isolation and cDNA conversion on DMA, followed by pooling of the droplets and subjecting them to qPCR analysis. In this work, we demonstrate the protocol for drug-induced DGEA on the DMA platform using cell lines and primary patient-derived chronic lymphocytic leukemia (CLL) cells. The methodology established here is critical for performing DGEA on a limited number of cells, with potential applications in functional precision oncology. In this way, this method helps to gain insights from the molecular profiling of unique patient-derived samples after drug treatment in vitro, which is essential for understanding individual tumor response to anticancer drugs.
The provided data are technical repeats from the research experimental details. including qPCR data and image analysis for cellular viability.
Drug-Induced Differential Gene Expression Analysis on Nanoliter Droplet Microarrays: Enabling Tool for Functional Precision Oncology
Processed micro-tomographic scan of the ant Cerapachys sulcinodis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za08, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Findability and Accessibility through Continuous Integration With Less Effort for Research Software
A set of Python scripts for tasks around the archival and long term preservation of software repositories.
Processed micro-tomographic scan of the ant Anoplolepis custodiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data are stored with Matlab codes producing the figures in the manuscript. In other cases, data are stored in the format of the origin lab software. Labels and comments are given in the header of the origin worksheets.
Electron-phonon coupling, i.e., the scattering of lattice vibrations by electrons and vice versa, is ubiquitous in solids and can lead to emergent ground states such as superconductivity and charge-density wave order. A broad spectral phonon line shape is often interpreted as a marker of strong electron-phonon coupling associated with Fermi surface nesting, i.e., parallel sections of the Fermi surface connected by the phonon momentum. Alternatively broad phonons are known to arise from strong atomic lattice anharmonicity. Here, we show that strong phonon broadening can occur in the absence of both Fermi surface nesting and lattice anharmonicity, if electron-phonon coupling is strongly enhanced for specific values of electron-momentum, k. We use inelastic neutron scattering, soft x-ray angle-resolved photoemission spectroscopy measurements and ab-initio lattice dynamical and electronic band structure calculations to demonstrate this scenario in the highly anisotropic tetragonal electron-phonon superconductor YNi$_2$B$_2$C. This new scenario likely applies to a wide range of compounds.
Electron-momentum dependence of electron-phonon coupling underlies dramatic phonon renormalization in YNi2B2C
Processed micro-tomographic scan of the ant Adelomyrmex samoanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Conventional electrolytes for aluminum metal batteries are highly corrosive because they must remove the Al2O3 layer to enable plating and stripping. However, such corrosiveness impacts the stability of all cell parts, thus hampering the real application of aluminum-metal batteries. The urea/NMA/Al(OTF)3 electrolyte is a non-corrosive alternative to the conventional [EMImCl]: AlCl3 ionic liquid electrolyte (ILE). Unfortunately, this electrolyte demonstrates poor Al plating/stripping, probably because (being not corrosive) it cannot remove the Al2O3 passivation layer. This work proves that no plating/stripping occurs on the Al electrode despite modifying the Al surface. We highlight how urea/NMA/Al(OTF)3 electrolyte and the state of the Al electrode surface impact the interphase layer formation and, consequently, the likelihood and reversibility of Al plating/stripping. We point up the requirement for carefully drying electrolyte mixture and components, as water results in hydrogen evolution reaction and creation of an insulating interphase layer containing Al(OH)3, AlF3, and re-passivated Al oxide, which finally blocks the path for the possible Al plating/stripping.
The data that support the findings of this study are openly available in KIT Library.
Hindered aluminum plating and stripping in urea/NMA/Al(OTF)3 as a Cl-free electrolyte for Al batteries
Processed micro-tomographic scan of the ant Tetramorium lanuginosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus hirsutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes clypeatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Sceliphron madraspatanum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sericomyrmex cf mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Research data, research results, and publications of the PhD thesis entitled 'Validation Framework for RDF-based Constraint Languages', submitted to the Department of Economics and Management at the Karlsruhe Institute of Technology (KIT).
# PhD Thesis---* Title: **[Validation Framework for RDF-based Constraint Languages](http://dx.doi.org/10.5445/IR/1000056458)*** Author: **[Thomas Hartmann](http://www.dr-thomashartmann.de/)*** Examination Date: 08.07.2016* University: [Karlsruhe Institute of Technology (KIT)](https://www.kit.edu/english/)* Chair: [Institute of Applied Informatics and Formal Description Methods](http://www.aifb.kit.edu/web/Hauptseite/en)* Department: [Department of Economics and Management](http://www.wiwi.kit.edu/english/index.php)* 1. Advisor: [Prof. Dr. York Sure-Vetter](http://www.aifb.kit.edu/web/York_Sure-Vetter/en), Karlsruhe Institute of Technology* 2. Advisor: [Prof. Dr. Kai Eckert](https://www.hdm-stuttgart.de/forschung_transfer/forschungsthemen/metadatenmanagement/team/eckert), Stuttgart Media University---***PhD Thesis Download**** [http://dx.doi.org/10.5445/IR/1000056458](http://dx.doi.org/10.5445/IR/1000056458)***Publications**** Complete set of publications: [publications](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/publications)***Research Data, Research Results, and Publications**** Link to the KIT research data repository: [http://dx.doi.org/10.5445/BWDD/11](http://dx.doi.org/10.5445/BWDD/11)---***RDF Validation Requirements Database**** [http://purl.org/net/rdf-validation](http://purl.org/net/rdf-validation)***Validation Environment**** Demo: [http://purl.org/net/rdfval-demo](http://purl.org/net/rdfval-demo)* Source code: [software/rdf-validator](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/software/rdf-validator)---***Chapter 2: Foundations for RDF Validation**** XML validation: [chapter/chapter-2/xml-validation](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-2/xml-validation)***Chapter 3: Vocabularies for Representing Research Data and Related Metadata**** RDF vocabularies commonly used to represent different types of research data and related metadata: [chapter/chapter-3/common-vocabularies](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-3/common-vocabularies)* Complete running example in RDF: [chapter/chapter-3/common-vocabularies/running-example](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-3/common-vocabularies/running-example)***Chapter 4: RDFication of XML Enabling to use RDF Validation Technologies**** Evaluation results: [chapter/chapter-4/evaluation](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-4/evaluation) ***Chapter 6: Consistent Validation across RDF-based Constraint Languages**** Constraint languages implementations: [chapter/chapter-6/constraint-languages-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-6/constraint-languages-implementations)***Chapter 7: Validation Framework for RDF-based Constraint Languages**** Formal specification, HTML documentation, and UML class diagram of the RDF Constraints Vocabulary (RDF-CV): [chapter/chapter-7/rdf-constraints-vocabulary](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-7/rdf-constraints-vocabulary)* Generic SPIN mappings for constraint types: [chapter/chapter-7/generic-SPIN-mappings/RDF-CV-2-SPIN.ttl](https://github.com/github-thomas-hartmann/phd-thesis/blob/master/chapter/chapter-7/generic-SPIN-mappings/RDF-CV-2-SPIN.ttl)***Chapter 8: The Role of Reasoning for RDF Validation**** Implementations for all constraint types expressible by OWL 2 QL, OWL 2 DL, and DSP as well as for major constraint types representable by ReSh and ShEx: [chapter/chapter-8/constraint-types-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-8/constraint-types-implementations)* Implementation of reasoning capabilities for all reasoning constraint types for which OWL 2 QL and OWL 2 DL reasoning may be performed: [chapter\chapter-8\reasoning-constraint-types-implementations/OWL2-Reasoning-2-SPIN.ttl](https://github.com/github-thomas-hartmann/phd-thesis/blob/master/chapter/chapter-8/reasoning-constraint-types-implementations/OWL2-Reasoning-2-SPIN.ttl)* Validation and reasoning implementations of constraint types: [chapter/chapter-8/constraint-types-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-8/constraint-types-implementations)***Chapter 9: Evaluating the Usability of Constraint Types for Assessing RDF Data Quality**** Implementations of all 115 constraints: [chapter/chapter-9/constraints](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/constraints)* Evaluation results for each QB data set grouped by SPARQL endpoint: [chapter/chapter-9/evaluation/data-sets/QB](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/evaluation/data-sets/QB)* Vocabulary implementations: [chapter/chapter-9/vocabularies/implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/vocabularies/implementations)***Appendix**** Link to appendix: [http://dx.doi.org/10.5445/IR/1000054062](http://dx.doi.org/10.5445/IR/1000054062)
Validation Framework for RDF-based Constraint Languages - PhD Thesis Research Data
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA), Dortmund
Fakultät für Chemie und Biowissenschaften (CHEM-BIO), Karlsruher Institut für Technologie (KIT)
Fourier-transform infrared (FT-IR) data of pristine PVdF and PVdC powders and soaked in AlCl3:EMImCl PVdF and PVdC. Raman data of PVdF and PVdC powders. Furthermore, in AlCl3:EMImCl ionic liquid soaked PVdF and PVdC. 19F-NMR (nuclear magnetic resonance) data of ionic liquid electrolyte (black liquid) after soaking PVdF for 1 hour and electrolyte soaked for 12 hours. Galvanostatic cycling with potential limitation (GCPL) data in the potential window of 0.30 V-2.30 V at a current density of 20 mA.g-1 of PVdF- and PVdC-based graphite positive electrodes at different cycle numbers. Corresponding cyclic voltammograms (CVs) data with a scan rate of 0.20 mV.s-1 at different cycles.
Rechargeable Aluminum Batteries (RABs) use a Lewis acidic Aluminum chloride (AlCl3) and 1-Ethyl-3-methylimidazolium chloride (EMImCl) ionic liquid electrolyte. Electrode fabrication often relies on procedures from Lithium-Ion Batteries (LIBs), including the use of Polyvinylidene fluoride (PVdF) as a binder. However, PVdF reacts with Al2Cl7- in the RAB electrolyte, making it unsuitable for new battery types. The literature lacks details on the products formed, changes in the ionic liquid electrolyte, and the implications for electrochemical performance. With potential European Chemical Agency (ECHA) restrictions on per- and polyfluoroalkyl substances (PFAS) by 2025, Polyvinylidene chloride (PVdC) is being explored as an alternative binder. In contact with AlCl3:EMImCl (1.50:1.00) electrolyte, both, PVdF and PVdC transform into amorphous carbon during dehydrofluorination (DHF) and dehydrochlorination (DHC), respectively, as confirmed by Raman spectroscopy. Furthermore, via 19F-NMR, it is shown that the reaction time between the soaked polymers and the ionic liquid has a significant influence on the newly formed aluminum chlorofluoride (ACF) complexes. Electrochemical tests of graphite-based electrodes indicate increasing specific capacity of PVdF compared to PVdC with a continuous number of cycles. Amorphous carbon can prevent the disintegration of graphite and enhance conductivity. Furthermore, newly formed AlF4- can run a co-intercalation and lead to increasing specific capacity.
Side-Reactions of Polyvinylidene Fluoride and Polyvinylidene Chloride Binders with Aluminum Chloride-Based Ionic Liquid Electrolyte in Rechargeable Aluminum-Batteries
Processed micro-tomographic scan of the ant Strumigenys denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paraponera clavata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data behind the publication with the title "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction". Contains EBSD data, friction data, secondary electron microscopy images as well as optical topography data.
Raw data to the paper "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction"
Werkstoffkunde, Graduiertenkolleg 2561: Materials Compounds from Composite Materials
Code for the implementation of solid solution strengthening models in Matlab R2020a Update 4.
Model code to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys"
Processed micro-tomographic scan of the ant Pristomyrmex afric-tz01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from ExINP_ZEP campaign taking place from 2023-04-26 - 2024-04-09 at Zeppelin Observatory. This dataset represents the processed data (Level 1) as created by the PIA software v2.0.2 (https://doi.org/10.5281/zenodo.15592786).
Portable Ice Nucleation Experiment, PINE, Ice-nucleating particle, INP, ice nucleation, PIA Software
Processed micro-tomographic scan of the ant Crematogaster stollii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Colorado Department of Public Health and Environment
Data for all figures appearing in publication
Dataset for the paper entitled: The Fifth International Workshop on Ice Nucleation Phase 3 (FIN-03): Field Intercomparison of Ice Nucleation Measurements
Processed micro-tomographic scan of the ant stigmatomma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Microdaceton tibialis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis decemdentata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Pompilidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Apterostigma urichii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorymyrmex sp insanus group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Experimental data of the publication "Unveiling the Interplay of Structural and Electrochemical Degradation of LiNi0.85Mn0.05Co0.05O2 Cathode Material for Li-Ion Batteries", Journal of The Electrochemical Society 2024.
Research Data of the Publication "Unveiling the Interplay of Structural and Electrochemical Degradation of LiNi0.85Mn0.05Co0.05O2 Cathode Material for Li-Ion Batteries"
Processed micro-tomographic scan of the ant Strumigenys morisitai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)
This file contains the reservoir data and model outputs for the manuscript titled, "Is drought protection possible without compromising flood protection? Estimating the maximum dual-use benefit of small flood reservoirs in Southern Germany" by Sarah Quynh-Giang Ho and Uwe Ehret. To properly read this data, the class definition file hrb.m must be downloaded from https://doi.org/10.5281/zenodo.12724797 .
Allgemeines, Hochschulwesen, Wissenschaft und Forschung
Der vorliegende .csv Datensatz enthält die Variationsarten der subsysteme der iPhone Generationen G1 (iPhone) -15(iPhone 13) und deren Varianten. Zu den Variationen werden die jeweiligen Referenzsystemelemente und die Quellen, aus denen die Information stammt, referenziert.
The present .csv data set contains the variation types of the subsystems of the iPhone generations G1 (iPhone) -15(iPhone 13) and their variants. The respective reference system elements and the sources from which the information originates are referenced for each variation.
This folder contains videos of face masks (Mask) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V4 (videos)
Processed micro-tomographic scan of the ant Carebara yamatonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The retrieval processor used is described in von Clarmann et al. (2003, 2009). T. von Clarmann, N. Glatthor, U. Grabowski, M. Höpfner, S. Kellmann, M. Kiefer, A. Linden, G. Mengistu Tsidu, M. Milz, T. Steck, G. P. Stiller, D. Y. Wang, H. Fischer, B. Funke, S. Gil-López, and M. López-Puertas, Retrieval of temperature and tangent altitude pointing from limb emission spectra recorded from space by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), J. Geophys. Res., Vol. 108, No. D23, 4736, doi:10.1029/2003JD003602, 2003. T. von Clarmann, M. Höpfner, S. Kellmann, A. Linden, S. Chauhan, B. Funke, U. Grabowski, N. Glatthor, M. Kiefer, T. Schieferdecker, G. P. Stiller, and S. Versick, Retrieval of temperature, H2O, O3, HNO3, CH4, N2O, ClONO2 and ClO from MIPAS reduced resolution nominal mode limb emission measurements, Atmos. Meas. Tech., Vol. 2(1), 159-175, 2009.
This data set contains MIPAS averaging kernels used by König et al, (2019). N. König, P. Braesicke and T. von Clarmann, Tropopause altitude determination from temperature profile measurements of reduced vertical resolution, Atmos. Meas. Tech., accepted for publication, 2019
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
Research raw data to publication: XPS, IRRAS, Periodic DFT calculations, Embedded cluster calculations.
Raw data available for experimental results (XPS, polarization-resolved IRRAS) and theoretical calculations (periodic DFT and embedded cluster calculations).
Forschungsdaten zur Publikation: XPS, IRRAS, "Periodic DFT calculations", "Embedded cluster calculations".
Research data to "Adsorption of CO on α-Al2O3(0001): A combined experimental and computational study"
Processed micro-tomographic scan of the ant Myrmica kotokui, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Forest Tree Species Segmentation in very-high resolution UAV-based orthomosaics
Leipzig University, Remote Sensing Centre for Earth System Research
University of Freiburg, Chair of Forest Growth and Dendroecology
Karlsruhe Institute of Technology, Institute of Geography and Geoecology
This dataset contains UAV-based RGB-orthomosaics and corresponding tree species masks over temperate forests in the Southern Black Forest in Germany.
"Entwicklung eines Eignungstests fuer die Zulassung zum Sportstudium" in Sportunterricht, 25, (1976), 5 , S. 148-153Verf. beschreibt einen Eignungstest, der zum Wintersemester 1975/76 erstmals bei maennlichen und weiblichen Bewerbern fuer das Sportstudium angewandt wurde. Die leistungsdiagnostische Aufgabe des Tests besteht in der Feststellung der motorischen Grundeigenschaftenin Relation zu den Anforderungen der Grundkurse. Es werden keine sportmotorischen Fertigkeiten, sondern motorische Eigenschaften wie Ausdauer, Geschicklichkeit und Schnelligkeit in Spielsituationen geprueft. Die Tests bestehen aus den Untergruppen Haro-Fitness-Test, Geraetturnen, Leichtathletik, Schwimmen, Spiele und setzen sich aus verschiedenen Einzeltests zusammen. Alle Ergebnisse werden in Testpunkte umgerechnet, von denen zum Schluss eine Mindestzahl erreicht werden muss. Gewisse Schwaechen in Einzeltests koennen in anderen wettgemacht werden. Zur Erstellung der Normen wurden zwei Probedurchlaeufe in Beziehung zu bereits gewonnenen Erfahrungswerten gebracht. Von jedem Item wurde die Standardabweichung ermittelt, die Messwerte in eine Standardnormalverteilung transformiert und die T-Werte ermittelt. Die Ergebnisse der Einzeltests werden in diesen Werten ausgedrueckt und fuer jede Untergruppe das arithmetische Mittel gebildet. Das Mittel aller fuenf Mittelwerte bildet das Gesamtergebnis.
Entwicklung eines Eignungstests für die Zulassung zum Sportstudium
This code is used for the numerical experiment in Section 2 of the preprint "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" by Benjamin Dörich.
Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223 . The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.4.0) has to be installed, cf. https://www.dealii.org/9.4.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main euler ./main midpoint to execute the code. This performs the computations and generates the files error_space_Q1_ritz.txt error_space_Q2_ritz.txt error_space_Q3_ritz.txt error_time_ImplEuler.txt error_time_MidpointRule.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
Code to "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions"
Processed micro-tomographic scan of the ant Neivamyrmex klugi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex cf coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from ExINP_GVB24 campaign taking place from 2024-04-02 - 2024-06-05 at Gruvebadet Atmosphere Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)
# Degree of substitution of cellulose acetate and other esters: Raw ATR-FTIR spectra and DS data obtained from IR integration, 1H NMR and 31P NMR ## Authors Frank Rhein, Timo Sehn, Michael A.R. Meier ## About This repository contains the raw data used in *"Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectrosopy and machine learning"*. For detailed information please refer to the original publication upon acceptance. ## Datasets The following data sets are compiled in this repository and published together with raw ATR-FTIR spectra: - `Wolfs.A`: DOI https://doi.org/10.1002/pol.20230220 - Raw ATR-FTIR data - DS data from IR integration, 1H NMR, 31P NMR methods - `Wolfs.B`: DOI https://doi.org/10.1039/D1GC01508G - Raw ATR-FTIR data - DS data from 1H NMR, 31P NMR methods - `Sehn.A`, `Sehn.B`, `Sehn.C`: DOI https://doi.org/10.1021/acs.biomac.3c00762 - Raw ATR-FTIR data - DS data from 1H NMR method An overview is given in `data_overview.xlsx`. ## Structure Raw ATR-FTIR data is contained in the `IR_data_..` folders, while DS values from different methods are found in the respective `.txt` files. > Note: `IR_DS` refers to the integration based method reported in https://doi.org/10.1002/pol.20230220 ## Methods For more information on data generation and analytical setups please refer to the original publications referenced above. DS data based on 1H NMR data is obtained according to the newly reported evaluation routine. ## Evaluation Scripts The Python scripts for data analysis are available on Github under https://github.com/pdhs-group/DS_IR_ML
Degree of substitution of cellulose acetate and other esters: Raw ATR-FTIR spectra and DS data obtained from IR integration, 1H NMR and 31P NMR
Processed micro-tomographic scan of the ant Mayaponera constricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster suehiro, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Konfokal-, REM- und TEM-Bilder; Reibungsdaten; Verschleißdaten
Daten Paper "Graphite Lubrication Mechanisms Under High Mechanical Load", Carina Morstein et al.; März 2021
Bundesministerium für Verkehr, Bau- und Stadtentwicklung
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.0864/2011 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2001 - 2010
Processed micro-tomographic scan of the ant Parvaponera darwinii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neocerapachys splendens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data is related to the publication "Molecular Analysis of Secondary Organic Aerosol and Brown Carbon from the Oxidation of Indole" by Jiang et al., 2024 in Atmospheric Chemistry and Physics.
Indole (ind) is a nitrogen-containing heterocyclic volatile organic compound commonly emitted from animal husbandry and from different plants like maize with global emissions of 0.1 Tg y-1. The chemical composition and optical properties of indole secondary organic aerosol (SOA) and brown carbon (BrC) are still not well understood. To address this, environmental chamber experiments were conducted to investigate the oxidation of indole at atmospherically relevant concentrations of selected oxidants (OH radicals and O3) with/without NO2. In the presence of NO2, the SOA yields decreased by more than a factor of two but the mass absorption coefficient at 365 nm (MAC365) of ind-SOA was 4.3 ± 0.4 m2 g-1, which was 5 times higher than that in experiments without NO2. In the presence of NO2, C8H6N2O2 (identified as 3-nitroindole) contributed 76 % to the all organic compounds detected by a chemical ionization mass spectrometer, contributing ~50 % of the light absorption at 365 nm (Abs365). In the absence of NO2, the dominating chromophore was C8H7O3N contributing to 20–30 % of Abs365. Indole contributes substantially to the formation of secondary BrC and its potential impact on the atmospheric radiative transfer is further enhanced in the presence of NO2, as it significantly increases the specific light absorption of ind-SOA by facilitating the formation of 3-nitroindole. This work provides new insights into an important process of brown carbon formation by interaction of two pollutants, NO2 and indole, mainly emitted by anthropogenic activities.
Molecular Analysis of Secondary Organic Aerosol and Brown Carbon from the Oxidation of Indole
Processed micro-tomographic scan of the ant Dolichoderus pustulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthoponera mucronata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The published catalog includes preliminary processing results of 316 earthquakes occurred between October 2020 to July 2022, within longitude range between 41.64 and 42.34, and latitude range between 42.53 and 43. For each event, origin time, latitude, longitude, depth (km), number of stations, GAP, RMS, magnitude (if applicable) and magnitude type are given.
In the frame of the DAMAST (Dams and Seismicity) (https://www.damast-caucasus.de/) project we deployed a dense high-fidelity seismological real-time network to investigate in detail the spatio-temporal seismicity distribution around the Enguri high dam, situated in the greater Caucasus in western Georgia. We aim at recording the weak seismicity in a 10 km distance around the dam structure. We installed an 8-station local seismic network to record weak seismicity in 10 km around the dam, with good coverage and high sensitivity around Ingirishi fault segments. To lower the detection threshold by reducing the ambient background noise, we installed four seismic stations in shallow (ca. 20 m) and deep boreholes. From these stations, KIT1 with a depth of ca. 250 m is the deepest seismological station in Georgia. The network installation was performed in three main stages, October 2020, December 2020, and September 2021. The published catalog, which is a collaboration between Geophysical Institute of KIT, and M. Nodia Institute of Geophysics, I. Javakhishvili Tbilisi State University (TSU), includes preliminary processing results of 316 earthquakes occurred between October 2020 to July 2022, within the longitude range between 41.64 and 42.34, and the latitude range between 42.53 and 43. For each event, origin time, latitude, longitude, depth (km), number of stations, GAP, RMS, magnitude (if applicable) and magnitude type are given. A 1-D velocity model of the upper mantle in Caucasus and adjacent regions is employed for the location process (Murusidze., G. 1987). Pg- and Sg-phases are manually picked using SEISAN-Earthquake analysis software (Havskov and Ottemoller, 1999.) and for each event, local magnitude (Ml) is estimated using S-phase amplitude read on both horizontal components. The catalog is presented and discussed in detail in Karamzadeh et. al 2023.
Processed micro-tomographic scan of the ant Dorylus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Fisheropone ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 14)
Processed micro-tomographic scan of the ant Pristomyrmex yaeyamensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Diacamma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Fördertechnik und Logistiksysteme
This data repository contains raw data for the analysis of decomposition error in discrete-time open tandem queues. The data is formatted for the computation and validation of point and interval estimates for decomposition error as well as for the analysis of decomposition error in bottleneck queues.
This data repository contains two folders: * *01 Equal Traffic Intensities* – Raw data for the analysis of decomposition error in tandem queues with equal traffic intensities, * *02 Bottleneck Analyses* – Raw data for the analysis of decomposition error in tandem queues with bottlenecks. The first folder contains a training data and a test data file. The second folder contains three files: * Data set with downstream bottleneck queues, * Data set with upstream bottleneck queues, * Data set with similar traffic intensities.
Data sets for the analysis of decomposition error in discrete-time open tandem queues
Recently, a new generation of high strength steels was introduced by using a lateral chemical pattern of an austenite stabilizer before quenching from partially homogenized austenite to succeed with fine-scaled microstructures of austenite and martensite. A pearlitic microstructure of ternary Fe-Mn-C is a suitable initial state for this when Mn effectively partitions into the cementite. The Matlab script published here provides an implementation of theoretical considerations on partitioning, negligible-partitioning as well as activity-based local equilibrium conditions based on thermodynamic data. With respect to the description of the physical fundamentals of this code incl. the relevant liteature sources, the users should consult the manuscripts linked to this dataset.
The software dataset contains the following parts: (1) code.m is the Matlab script tested under Matlab R2022a (2) The required data to run the script are alpha_gamma_600C.dat gamma_theta_600C.dat alpha_theta_600C.dat activity_600C.dat These files contain tie line data for the temperature under consideration, 600 °C in the example. Three different two-phase equilibria are required, each between alpha-(Fe,Mn,C), gamma-(Fe,Mn,C) and theta-(Fe,Mn)3C. The file “activity_600C.dat” contains grid data on the activity within gamma-(Fe,Mn,C). The data might be replaced by output from thermodynamic software. The read in is optimized for output files from Pandat.
Matlab code to "Assessment of the compositional requirements to form Fe-Mn-C austenite-martensite composites"
Processed micro-tomographic scan of the ant Chronoxenus wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is a design for a metal heat exchanger that can be printed using a 3D metal printer.
3D printable heat exchanger for incorporation into a photoresponsive membrane gas permeation test cell
Processed micro-tomographic scan of the ant Crematogaster cf carinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera commutata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys relicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor luebberti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set contains the scripts and model output needed for the analysis in the paper. Included is output from the ICON, MPI-ESM and IPSL-CM5A models. The simulations were performed with the atmospheric components of the models and with prescribed sea surface temperatures (SSTs). They use a setup with present-day continents and greenhouse gas concentrations, and mimic global warming by a uniform 4K SST increase. The simulations apply the cloud-locking or cloud- and water vapor-locking methods to determine the impact of cloud-radiative changes on the circulation response to global warming. Further details about the simulations and the method can be found in - Albern et al. (2019, https://doi.org/10.1029/2018MS001592) - Voigt et al. (2019, https://doi.org/10.1175/JCLI-D-18-0810.1) and in the paper itself.
Data and scripts for article Albern et al. 2021: "Tropical cloud-radiative changes contribute to robust climate change-induced jet exit strengthening over Europe during boreal winter", Environmental Research Letters
Processed micro-tomographic scan of the ant Cephalotes pusillus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex salvini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Here are the measured values of active energy.
Measured active power of a photovoltaic plant on the roof of IAI-Building
Climate model simulation data for publication "No Cookie for climate change" by Aiko Voigt and Nicole Albern, accepted in Geophysical Research Letters; more info is given in the README file
Climate model simulations for publication "No Cookie for climate change"
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2004 - 2013
Processed micro-tomographic scan of the ant Strumigenys stenorhina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eutetramorium mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Capacitors play a crucial role in modern electronics as they are widely employed for energy storage, signal processing, radiofrequency tuning and matching, and signal filtering. This paper presents a novel approach to chip-scale capacitor fabrication utilizing the laser-induced forward transfer (LIFT) technique, a versatile 3D printing method that offers a flexible and cost-effective alternative to conventional manufacturing processes. Plate capacitors were fabricated through dot-by-dot printing of titanium di-oxide and silver paste layers, and their performance evaluated. Optimal dot circularity at a diameter of 130 μm were achieved with printing parameters of 120 mW for 4 ms, with no noticeable surface defects. Using smaller dots enabled higher resolution, but this compromised the quality of the printed surface. The fabricated capacitors demonstrated a mean capacity of 40.1 pF ± 2.2 pF at 100 MHz, making them suitable also for high frequency applications. The resistivity of the printed silver tracks was 1.25 × 10−7 Ω m, measured over 16 structures, and closely matched the manufacturer’s specifications for the silver ink. The achieved resolution from the dot-by-dot method used in this paper provided greater flexibility in transfer in comparison to previously reported results using a square-shaped transfer geometry.
Dot-by-dot printing of capacitors by LIFT
Processed micro-tomographic scan of the ant Pheidole fervens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nesomyrmex angulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Patagonomyrmex angustus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Different data bases with the simulation results. For the single supply chain location there exist the following data bases: State1.db contains the results for the original data set State1_Baseline.db contains the results for the amplified data sets of the baseline model State1_Adaptive.db contains the results for the amplified data sets of the adaptive model State2.db contains the results for the original and amplified data sets of the adaptive+cost model State2_Comb.db contains the results of the multi-factorial data sets of the adaptive+cost model SQ_Comb.db contains the results for the original, the amplified and the multi-factorial data sets of the (s, q) policy For the supply chain with three nodes there exist the following data bases: SC3N_Central.db contains the result for the original and amplified data set of the central model SC3N_Central_Comb.db contains the result for the multi-factorial data set of the central model SC3N_Decentral.db contains the result for the original and amplified data set of the decentral model SC3N_Decentral_Comb.db contains the result for the original and amplified data set of the decentral model
Results for the Different Parameter Tests of the Developed RL Agents and the Benchmark Algorithm
Jump and Reach Werte für Jugendliche und junge Erwachsene (17-22 Jahre)
Processed micro-tomographic scan of the ant Rasopone succedanea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium pacificum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Braconidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This Supplemental Dataset contains the raw data and analysis scripts (Python/Mathematica) used in the above mentioned publication
Original Source Data to "Bosonic excitation spectra of superconducting Bi2Sr2CaCu2O8+\delta and YBa2Cu3O6+x extracted from scanning tunneling spectra"
The dataset was recorded during milling of 16MnCr5. Due to artificially introduced, though realistic anoma-lies in the workpiece the dataset can be applied for anomaly detection. Furthermore, milling tools with two different diameters where used which led to a dataset eligible for transfer learning.
The dataset consists of seven folders. Each folder represents one milling run. In each milling run the depth of cut was set to 3 mm. A folder contains a maximum of three json files. The number of files depends on the time needed for each run which is a function of milling tool diameter and feed rate. Files in each folder were numerated in sequence. For example, folder “run1” contains the files “run1_1” and “run1_2” with the last number indicating the order in which the files were generated. The frequency of recording datapoints was set to 500 Hz. During each milling run the milling tool moved along the longitudinal side and then was moved back alongside the workpiece. This way machining started always on the same side of the workpiece. Table 1 provides an overview of the milling runs. Run 1 to 4 were performed with a HSS tool with a diameter of 10 mm. The tool in use was an end mill (HSS-E-SPM HPC 10 mm) developed by Hoffmann Group. During the first three runs with this end mill no tool breakage occurred. However, in run 4 the tool broke. Runs 5 and 6 were performed by milling with an end mill of the same tool series (HSS-E-SPM HPC 8 mm) that just differs in tool diameter. In contrast to this run 7 was performed by using a solid carbid tool (Solid carbide roughing end mill HPC 8 mm). Cutting with SC tools provides much higher productivity with the downside being higher tool price. In our case the SC end mill performed cuts with a feed rate of 1150 mm/min compared to 191 mm/min achieved by a HSS end mill of the same diameter. Tool breakages were recorded on all runs with end mills of diameter 8 mm. Table 1. overview of the data folders folder name | number of json files | tool diameter | tool breakage | tool type run 1 2 10 mm No HSS run 2 2 10 mm No HSS run 3 2 10 mm No HSS run 4 2 10 mm Yes HSS run 5 2 8 mm Yes HSS run 6 3 8 mm Yes HSS run 7 1 8 mm Yes SC Each json file consists of a header and a payload. The header lists all parameters that were recorded such as position, motor torque and motor current of each of a maximum of five axes of a milling machine. However, the machine used in our experiments is a 3-axis machining center which leaves the payload of 2 possible additional axes to be empty. In the payload the sequential data for each parameter can be found. A list of recorded signals can be found in Table 2. Table 2. recorded signals during milling Signal index in payload | Signal name | Signal Address |Type 13-18 VelocityFeedForward VEL_FFW|1* double 19-24 Power POWER|1* string 25-30 CountourDeviation CONT_DEV|1* double 38-43 TorqueFeedForward TORQUE_FFW|1* double 44-49 Encoder1Position ENC1_POS|1* double 56-61 Load LOAD|1* double 68-73 Torque TORQUE|1* double 68-91 Current CURRENT|1* double * 1 represents x-axis, 2 represents y-axis, 3 represents z-axis and 6 represents spindle-axis. Note that our milling center has 3 axis and therefore values for axes 4 and 5 are null.
Multivariate time series dataset of milling 16MnCr5 for anomaly detection
Processed micro-tomographic scan of the ant Temnothorax unifasciatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Noise and vibration emissions from electric vehicle gearboxes are greatly influenced by the properties of the gearbox housing. Reducing the weight of the housing requires to evaluate the impact of lightweight design on noise and vibration performance. In this paper, the effect of different rib arrangements on the noise and vibration performance of a lightweight transmission is investigated. The ribs allow to increase local stiffness while still reducing the total mass. The local stiffness is derived in different areas of the housing to determine potential areas of optimization. Then ribs on the surface of the gearbox housing in different arrangements and positions are applied to the model and their influence on the vibrational behaviour and acoustic emission are investigated numerically.
Please read the read-me file. The authors Colangeli, Claudio; Cuenca, Jacques and Kucukcoskun, Korcan are affiliated with the organization Siemens Digital Industries Software.
Effect of Lightweight Design on the NVH Behavior of an Electric Vehicle Gearbox Housing
Processed micro-tomographic scan of the ant Pheidole afrc-gh02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes spinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus nigricans molestus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus magrettii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The 'overview.txt' file describes the files and their relations to the manuscript.
Role of powders and coatings for relating catalytic activity and structure of Pt in emission control catalysis - Raw data
Processed micro-tomographic scan of the ant Crematogaster nawai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus wolfi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Sulfate aerosol optical depth from IMS/IASI after the Hunga 2022 eruption
IMS/IASI data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?'
Processed micro-tomographic scan of the ant Prionopelta sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium nipponense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicocrypta foreli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole afrc-075, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ooceraea biroi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This package contains data (Inversion results and logfiles produced by the FWI software, config files for reproduction) and python scripts to create the figures shown in "All-At-Once and Reduced Solvers for Visco-Acoustic Full Waveform Inversion" by Christian Rheinbay. Moreover, it contains instructions on how to reproduce the contained data.
Complementary Data for "All-At-Once and Reduced Solvers for Visco-Acoustic Full Waveform Inversion"
Processed micro-tomographic scan of the ant Euponera pilosior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset contains yearlong monthly measurements (June 2020 to April 2022) of water quality parameters, CO2, CH4 and N2O concentrations from 23 streams, 3 drainage ditches and 2 wastewater effluent sites within within the Loisach, Schwingbach and Neckar catchments in Germany. The study sites covered various upstream land uses (croplands, wetlands, grasslands, settlements and forests) as well as stream orders (1-6). Measurements were mostly done during the day between 8.00 am and 5.00pm.
Water quality and greenhouse gas (GHG) concentration data for temperate headwater streams in Germany
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Processed micro-tomographic scan of the ant Formica yessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Differentiation and Cultivation of Retinal Cells in a Defined 3D Environment
Differenzierung und Kultivierung von retinalen Zellen in einer definierten 3D-Umgebung
Processed micro-tomographic scan of the ant Pheidole selathorax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Water Level of the Jvari Reservoir of Enguri High Arch Dam for the years 1978-2025
Processed micro-tomographic scan of the ant Carebara oni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the preprint "Robust fully discrete error bounds for the Kuznetsov equation in the inviscid limit" by Benjamin Dörich and Vanja Nikoli\'c The codes generates the lines in Figures 2, 3, 4, and 5 #### Requirements The program is tested with Kubuntu 22.04.5 and Python 3.10.12 and the following version of its modules: - numpy - 1.21.5 - matplotlib - 3.5.1 - tikzplotlib - 0.10.1 - dolfinx - 0.7.2 - ufl - 2023.2.0 - mpi4py - 3.1.3 #### Figures In the folder "codes_kuznetsov" open a console and run the following commands in seperate consoles. 1) The following can be excuted in paralell: Run "python3 c1_k1_wave_space_time.py" Run "python3 c1_k2_wave_space_time.py" Run "python3 c1_k3_wave_space_time.py" Run "python3 c1_time_k2_wave_space_time.py" Run "python3 c3_gauss_ref_comp.py" Run "python3 c4_wave_beta_conv.py" 2) When the c3_gauss_ref_comp.py has terminated, execute in paralell: Run "python3 c3_gauss_space.py" Run "python3 c3_gauss_time.py" 3) Finally, to generate the plots execute: Run "python3 c99_generate_plots.py" Run "python3 c99_generate_gauss_plots.py" After running the calculations, the files are stored as tikz and pdf files in the folder "tikz/".
The Kuznetsov equation is a classical wave model of acoustics that incorpo- rates quadratic gradient nonlinearities. When its strong damping vanishes, it undergoes a singular behavior change, switching from a parabolic-like to a hyperbolic quasilinear evolution. In this work, we establish for the first time the optimal error bounds for its finite element approximation as well as a semi-implicit fully discrete approximation that are robust with respect to the vanishing damping parameter. The core of the new arguments lies in devising energy estimates directly for the error equation where one can more easily exploit the polynomial structure of the nonlinearities and compensate inverse estimates with smallness conditions on the error. Numerical experiments are included to illustrate the theoretical results.
Numerical experiments to "Robust fully discrete error bounds for the Kuznetsov equation in the inviscid limit"
The data was recorded at the microXAS beamline at the Swiss Light Source (SLS, Villigen, Switzerland) in June 2019. Subject of the experiment was a copper-based zeolite catalyst prepared as a washcoated monolith. A detailed description about the data can be found in the readme of this data set and in the corresponding publication.
Die Daten wurden an der microXAS-Beamline an der Swiss Light Source (SLS, Villigen, Schweiz) im Juni 2019 aufgezeichnet. Gegenstand des Experiments war ein Zeolith-Katalysator auf Kupferbasis, der als beschichteter Monolith hergestellt wurde. Eine detaillierte Beschreibung der Daten ist in der Readme-Datei dieses Datensatzes und in der entsprechenden Publikation zu finden.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 400°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 400°C dataset
Institut für Informationssicherheit und Verlässlichkeit
This repository hosts the dataset corresponding to the paper "A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users’ Privacy", which was published at the Privacy Enhancing Technologies Symposium (PETS) in 2024.
Cookie notices (or cookie banners) are a popular mechanism for websites to provide (European) Internet users a tool to choose which cookies the site may set. Banner implementations range from merely providing information that a site uses cookies over offering the choice to accepting or denying all cookies to allowing fine-grained control of cookie usage. Users frequently get annoyed by the banner's pervasiveness as they interrupt ``natural'' browsing on the Web. As a remedy, different browser extensions have been developed to automate the interaction with cookie banners. In this work, we perform a large-scale measurement study comparing the effectiveness of extensions for ``cookie banner interaction.'' We configured the extensions to express different privacy choices (e.g., accepting all cookies, accepting functional cookies, or rejecting all cookies) to understand their capabilities to execute a user's preferences. The results show statistically significant differences in which cookies are set, how many of them are set, and which types are set---even for extensions that aim to implement the same cookie choice. Extensions for ``cookie banner interaction'' can effectively reduce the number of set cookies compared to no interaction with the banners. However, all extensions increase the tracking requests significantly except when rejecting all cookies.
Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part1
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.3.1
Processed micro-tomographic scan of the ant Ectatomma permagnum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data were compressed using 7zip. Samples were labelled according to the word document.
Raw data for One-pot cascade reaction from epoxide to carboxylic acids using bifunctional Fe-ZSM-5
Dieser Datensatz nimmt Bezug auf die bei KIT Scientific Publishing (KSP) veröffentlichte Dissertation von Konrad Deetz (https://publikationen.bibliothek.kit.edu/1000077925, ISBN: 978-3-7315-0744-4, DOI: 10.5445/KSP/1000077925), mit der Absicht, die Reproduzierbarkeit der Ergebnisse zu gewährleisten und eine Langzeitarchivierung sicher zu stellen. Der Datensatz enthält alle Abbildungen der Dissertation sowie die Skripte (Programmiersprache R) zur Erstellung dieser Abbildungen. Die Modelldaten, auf denen die Abbildungen beruhen, sind nicht enthalten, da der Datenumfang (mehrere Terabyte) dies nicht zulässt. Die Modelldaten sind in der Large Scale Data Facility (LSDF) des Steinbuch Centre for Computing (SCC) archiviert und können bei Bedarf bereitgestellt werden. Zur Modellevaluierung wurden in der Dissertation auch Messdaten verwendet, die im Rahmen von DACCIWA (Dynamics-aerosol-chemistry-cloud interactions in West Africa) erstellt wurden. (Messdaten werden über die Datenbank http://baobab.sedoo.fr/ bereitgestellt. Zugriff erteilt die Administration von DACCIWA.) Der Datensatz enthält die Ordner D1 (Domain 1, „CONTINENTAL“), D2 (Domain 2, „SWA“), D3 (Domain 3, „REGIONAL“) und „model_framework“. Die Namen der Unterordner enthalten die Abbildungsnummern, wie sie auch in der Dissertation verwendet werden. Bei Rückfragen kann man sich an den Autoren wenden. This dataset refers to the dissertation published in KIT Scientific Publishing (KSP) by Konrad Deetz (https://publikationen.bibliothek.kit.edu/1000077925, ISBN: 978-3-7315-0744-4, DOI: 10.5445/KSP/ 1000077925). With that, the reproducibility of the results and the long-term archiving will be ensured. The dataset contains all figures of the dissertation as well as the scripts (programming language R) to create these figures. The model output, related to these figures, is not included, due to the amount of data (several terabyte). The model output is archived in the Large Scale Data Facility (LSDF) of the Steinbuch Centre for Computing (SCC) and can be made available on demand. For the model evaluation also measurements were used, obtained in the framework of DACCIWA (Dynamics-aerosol-chemistry-cloud interactions in West Africa). (Measurements are provided via the database http://baobab.sedoo.fr/. Access is provided via the DACCIWA administration.) The dataset contains the directories D1 (Domain 1, „CONTINENTAL“), D2 (Domain 2, „SWA“), D3 (Domain 3, „REGIONAL“) and „model_framework“. The subdirectory names contain the figure numbers as used in the dissertation. In case of questions please contact the author. Konrad Deetz, 22 March 2018
By using COSMO-ART, highly resolved process study simulations for 2-3 July 2016 are conducted to assess the aerosol effect on the meteorological conditions of southern West Africa. The meteorological phenomenon Evening Monsoon Flow Enhancement (EMFE) is identified as highly susceptible to the aerosol direct effect, leading to a spatial shift of the EMFE front. In a second aerosol feedback chain the aerosol variation leads to a temporal shift of the stratus-to-cumulus transition.
Assessing the Aerosol Impact on Southern West African Clouds and Atmospheric Dynamics (Dataset)
The Vitruvius approach for consistency in view-based system development proposes a process and mechanisms for developing complex software and software-intensive systems by means of views that are kept consistent by explicit specifications of their dependencies. This repository provides the projects of the Vitruv framework (https://vitruv.tools), which implements that approach. It contains a prepared execution environment for the framework as well as case study projects. In addition, it provides a script to run the environment and automatically resolve all dependencies based on Docker. The repository was created to be used as a reproduction package for the evaluation of the article "Enabling consistency in view-based system development - The Vitruvius approach" by Klare et al., published in "The Journal of Systems & Software".
Reproduction Package for Evaluating the Vitruvius Approach
Processed micro-tomographic scan of the ant Plagiolepis pygmaea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys horni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data are provided as tables in the two subfolders “INSEKT.zip” and “AIDA.zip”, comprising the ice nucleation experiments with the INSEKT cold-stage instrument under mixed-phase cloud conditions and with the AIDA cloud chamber under cirrus conditions. The syntax of the file names and the contents of the tables are explained in the additional info files "info_INSEKT.pdf" and "info_AIDA.pdf", which are included in the respective subfolders. The tables with the ice nucleation data can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter. The info files can be opened with Acrobat Reader.
Data sets for the research article "Heterogeneous ice nucleation ability of aerosol particles generated from Arctic sea surface microlayer and surface seawater samples at cirrus temperatures" by Wagner et al. (2021) in Atmospheric Chemistry and Physics
Processed micro-tomographic scan of the ant Messor afrc-za01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys canina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera soror, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Labidus praedator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis illaudata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Photogrammetrie und Fernerkundung, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
# Pol-InSAR-Island dataset: This folder contains multi-frequency Pol-InSAR data acquired by the F-SAR system of the German Aerospace Center (DLR) over Baltrum and corresponding land cover labels. Data structure: - data - FP1 # Flight path 1 - L # Frequency band - T6 # Pol-InSAR data - incidence.bin # Incidence angle [rad] - kz_*.bin ' Vertical wavenumber for vv, hv, vh and vv polarization [rad/m] - pauli.bmp # Pauli-RGB image of the master scene - S - ... - FP2 # Flight path 2 - ... - label # Land cover label - FP1 # Flight path 1 - label_train.bin # Geocoded training label - label_test.bin # Geocoded test label - ... - FP2 # Flight path 2 - ... Data format: The data is provided as flat-binary raster files (.bin) with an accompanying ASCII header file (*.hdr) in ENVI-format. For Pol-InSAR data the real and imaginary components of the diagonal elments and upper triangle elements of the 6 x 6 coherency matrix are stored in seperated files (T11.bin, T12_real.bin, T12_imag.bin,...) Land cover labels contained in label_train.bin and label_test.bin are encoded as integers using the following mapping: 0 - Unassigned 1 - Tidal flat 2 - Water 3 - Coastal shrub 4 - Dense, high vegetation 5 - White dune 6 - Peat bog 7 - Grey dune 8 - Couch grass 9 - Upper saltmarsh 10 - Lower saltmarsh 11 - Sand 12 - Settlement
Pol-InSAR-Island is the first publicly available multi-frequency Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) benchmark dataset for land cover classification. The strong scientific interest and the accompanying rapid development of machine learning, in particular deep learning, has led to a significant improvement in automatic image interpretation in recent years. Research generally focuses on classification or segmentation of optical images, but there are already several successful approaches that apply deep learning techniques to the analysis of PolSAR or Pol-InSAR images. While the success of learning-based methods for the analysis of optical images has been strongly driven by public benchmark datasets such as ImageNet and Cityscapes, which contain a large number of annotated training and test data, comparable datasets for the PolSAR and especially the Pol-InSAR domain are almost non-existent. To fill this gap, this work presents a new multi-frequency Pol-InSAR benchmark dataset for training and testing learning-based methods. The dataset contains Pol-InSAR data acquired in S- and L-band by DLR’s airborne F-SAR system over the East Frisian island Baltrum. To allow interferometric analysis a repeat-pass configuration with a time offset of several minutes and a vertical baseline of 40 m is used. The image data are given as geocoded 6 × 6 coherency matrices on a 1 m × 1 m grid and is labeled by 12 different land cover classes. The Pol-InSAR-Island dataset is intended to improve the development of new learning-based approaches for multi-frequency Pol-InSAR classification. To ensure the comparability of various approaches, a defined division of the data into training and testing sections is given. For more information, refer to the corresponding research article: https://doi.org/10.1016/j.ophoto.2023.100047 Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification (Version 2) is the updated version of the dataset. The PolSAR as well as the label images remain unchanged, but additional files containing the corresponding incidence angle and the vertical wavenumbers are added.
Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification (Version 2)
Helmholtz Institute Ulm (HIU) Electrochemical Energy Storage, Helmholtzstraße 11, D-89081 Ulm, Germany
Department of Energy Conversion and Storage, Technical University of Denmark, Denmark
Institute of Functional Interfaces (IFG) and Karlsruhe Nano Micro Facility (KNMFi), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Addressing the sluggish kinetics of sulfur redox for high-energy Mg-S batteries
Simulation results tagged f05135 (see Appendix A in 10.5445/IR/1000084466) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
Processed micro-tomographic scan of the ant Strumigenys mirabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 1/3)
Processed micro-tomographic scan of the ant Monomorium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mystrium oberthueri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothriomyrmex meridionalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains Jupyter Python Notebooks that implement impedance calculations as shown in Hyperpolarization and Sensitivity in Nuclear Magnetic Resonance by Karel Kouril and Benno Meier Journal of Magnetic Resonance Open Special Issue on Hyperpolarization RF_Circuit.ipynb contains the impedance / Q calculations as detailed in the manuscript RF_Circuit_SciKit_RF contains a basic analysis of the same circuits using the scikit-rf package The .html files with the same names are non-executable exports of these notebooks for inspection only.
Hyperpolarization and Sensitivity in Nuclear Magnetic Resonance - Python Notebooks / Circuit Impedance and Q-factor Calculation
Processed micro-tomographic scan of the ant Crematogaster evallans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius fuji, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dilobocondyla fouqueti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Metapone emersoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium gabrielense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus devestivus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ministry of Schools and Education of the State of North Rhine-Westphalia
Research Center for Physical Education and Sports of Children and Young People
On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
Processed micro-tomographic scan of the ant Tetramorium sp simillimum group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data provides an overview of the SLR results, their quality ratings and category classifications.
Results SLR Business Process Model Generation
Processed micro-tomographic scan of the ant Brachymyrmex patagonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The flow within adhering droplets subjected to external shear flows has a significant influence on the stability and eventual detachment of the droplets from the surface. Most commonly, the velocity field inside adhering droplets is measured by means of particle image velocimetry (PIV), which requires a correction step to account for the distortion caused by the refraction of light at the curved gas-liquid interface. Current methods for distortion correction based on ray tracing are limited to low external flow velocities, for which the deformation of the droplet is insignificant and axisymmetry can be assumed. However, the ray-tracing method can be extended straightforwardly to arbitrarily deformed droplet shapes if the instantaneous three-dimensional droplet interface could be obtained. In the present work, a previously introduced method for the image-based reconstruction of gas-liquid interfaces by means of deep learning is adapted to determine the instantaneous interface of adhering droplets in external shear flows. In this regard, a purposefully developed optical measurement technique based on the shadowgraphy method is employed that encodes additional three-dimensional (3D) information of the interface in the images via glare points from lateral light sources. On the basis of the images recorded in the experiments, the volumetric shape of the droplet is reconstructed by a neural network that was trained on the spatio-temporal dynamics of the gas-liquid interface from a synthetic dataset obtained by numerical simulation. The results for experiments with adhering droplets at different velocities of external flow demonstrate that the combination of the learned droplet geometry with the depth encoding through the glare points facilitates a robust and flexible reconstruction. The proposed method reconstructs the instantaneous three-dimensional interface of adhering droplets at both high resolution and spatial accuracy and thereby enables the distortion correction of PIV measurements at high external flow velocities.
This repository contains the supplementary data to our article "Interface reconstruction of adhering droplets for distortion correction using glare points and deep learning". The dataset consists of raw and processed images obtained in experiments with adhering droplets subject to external shear flows through a shadowgraphy method with additional color-coded glare points. The raw images are saved in the uncompressed file format .tif and processed images are saved as .png. The weights of the neural networks for the reconstruction of the droplets gas-liquid interface trained on the aforementioned data are contained in this repository as well. The code repository for the neural network training and evaluation, including documentation on how to deploy the trained neural networks on the measurement data can be found on GitHub (https://github.com/MaxDreisbach/Droplet-PIFu)
Interface reconstruction of adhering droplets for distortion correction using glare points and deep learning (research data)
Processed micro-tomographic scan of the ant Nylanderia okm06, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
ICON-ART simulation data are stored in netCDF format as follows: Experiments: NSP and SPH; each folder contains three subfolders: AOD: Aerosol Optical Depth, ABS: Attenuated BackScatter, CON: Concentration
Effects of Particle Non-Sphericity on Dust Optical Properties in a Forecast System: Implications for Model-Observation Comparison
Processed micro-tomographic scan of the ant Rogeria cf belti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
We present a dataset of 3D CAD models (.stl) from the field of mechanical engineering. There are 7 core classes (cover, flange, housing, mounting, rodprobe, sensor, tube) and 5 additional classes (cableconnector, dismiss, diverse, fork, funnelantenna). The dataset has been hand labelled with categories.These models are for demonstration purpose only and do not reflect actual products
Machine Learning, CAD, Engineering, 3D Objects, 3D Graphics, Shape Completion, ShapeNet, 3D Shape Recognition
The data belongs to the contribution "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study" Rack, R.; Sutschet, S., Bengler, K.; Matthiesen, S. The data consists of: 1. mean values of joint angles and handle interaction forces (grip and push force) over time and RMS values of muscle activation for each drilling measurement for 3 subjects, categorized into handle configurations (handle position & orientations was varied) 2. Median and 1st & 3rd quartile values of joint angles and muscle activation across the 3 subjects and its graphical illustration (plots) showing deviations of joint angles and muscle activation of the shoulder-arm system (plots uploaded are an addition to the results of the paper mentioned above)
The data belongs to the contribution "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study" Rack, R.; Sutschet, S., Bengler, K.; Matthiesen, S. The dataset contains: 1. .xslx-files: a. mean joint angles (shoulder abduction / adduction, shoulder flexion / extension, shoulder rotation, elbow flexion / extension, elbow rotation, wrist abduction / adduction, wrist flexion / extension), force data (grip and push forces at the hammer drill main and side handle) and RMS of muscle activation (deltoid anterior, deltoid lateral, deltoid posterior, trapezius, biceps, triceps, flexor carpi radialis, extensor carpi radialis) over time per drilling measurement, for 3 subjects,, 3 drilling measurement per handle configuration b. median, 1st & 3rd quartile values joint angles, handle forces, muscle activation across all subjects for each hammer drill handle configuration 2. .png-files: Graphical illustration of data (1b), as an addition to the results shown in the paper mention above
Experimental data and additional evaluation for the paper "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study"
Processed micro-tomographic scan of the ant Aphaenogaster sardoa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Centromyrmex brachycola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla venustula (globinodis form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
cardiocondyla venustula (globinodis form)
Processed micro-tomographic scan of the ant Aenictus lifuiae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological specimens utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Tribological Specimens for Tribological Experiments - Sapphire on Copper - FAIR Dataset
Bei diesem Dokument handelt es sich um Forschungsdaten, die im Rahmen der Dissertation "Akzeptanz und Versicherbarkeit autonom fahrender Automobile - Ein Weg in eine unfallfreie Zukunft" (Veröffentlichung im Jahr 2020) von Arne Holz (geb. 12.08.1986 in Ulm) erhoben wurden. Es beihaltet die strukturierten qualitativen Antworten der Probanden, die an der Akzeptanzbefragung teilgenommen haben. Diese wurden mithilfe einer inhaltsanalytischen Auswertung in Anlehnung an das Verfahren der Content Analysis nach Stone (1997) ausgewertet. Eine ausführliche Nutzungsbeschreibung findet sich auf der ersten Seite des Dokuments.
Ausführliche qualitative Aussagen der Befragten zur Dissertation "Akzeptanz und Versicherbarkeit autonom fahrender Automobile - Ein Weg in eine unfallfreie Zukunft" von Arne Holz
Processed micro-tomographic scan of the ant Aenictus paradentatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis dives, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma fulvidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Change Notes: Fixed an error in the discrete Laplacian
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging using the common offset acquisition geometry.
The download package includes a README.md file which contains details on the required Python modules, installation instructions and instructions on how to use the provided scripts
Approximate inversion of a class of generalized Radon transforms - Software package (v1.1)
Processed micro-tomographic scan of the ant Prionopelta antillana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster japonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Materialien – Angewandte Werkstoffphysik (IAM-AWP), Karlsruher Institut für Technologie (KIT)
T1 = 48.0Ti-25.0Mo-12.0Ta-10.0Cr-5.0Al (at.%) T2 = 44.0Ti-20.0Mo-15.0Ta-15.0Cr-6.0Al (at.%) T3 = 54.0Ti-10.0Mo-15.0Ta-15.0Cr-6.0Al (at.%) Liquid = liquid phase BCC_A2 = A2 solid phase BCC_A2 = B2 solid Phase Laves_C15 = C15 solid Laves phase AC = as-cast condition HT = homogenized and furnace-cooled condition 800C_1000h = 800 °C/1000 h heat-treated in glass ampoule and water-quenched 1000C_1000h = 1000 °C/1000 h heat-treated in glass ampoule and water-quenched 10 Kpmin = heating rate of 10 K/min 40 Kpmin = heating rate of 10 K/min RT = room temperature 400C = 400 °C 600C = 600 °C 800C = 800 °C 900C = 900 °C 1000C = 1000 °C Fig. 1: Thermodynamic calculations from FactSage, temperature T in °C vs. atomic phase fraction in 1 Fig. 2: Scanning electron micrographs (backscattered electron contrast imaging) in AC and heat-treated condition Fig. 3: X-ray diffaction patterns with intensity in 1 vs. 2Theta in ° Fig. 4: Differential scanning calorimetry data with heat capacity Cp in J/(g*K) vs. temperature in °C and time in min (proprietary *.xlxs file) Fig. 5: Compression test results in proprietary *.tra files that require TestExpert Software Fig. 7: Scanning electron micrographs (backscattered electron contrast imaging) after compression tests Fig. S1: Thermodynamic calculations from Pandat with PanRHEA, temperature T in °C vs. atomic phase fraction in 1
Data from "Design of lightweight high temperature structural materials based on refractory compositionally complex alloys, Part I: mechanical properties and phase stability"
Bundesministerium für Verkehr und digitale Infrastruktur
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.952/2019 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2010 - 2019
Ice crystal formation in mixed-phase clouds is initiated by specific aerosol particles, termed ice-nucleating particles (INPs). Only a tiny fraction of all aerosol particles are INPs, providing a challenge for contemporary INP measurement techniques. Models have shown that the presence of INPs in clouds can impact their radiative properties and induce precipitation formation. However, for a qualified implementation of INPs in models, measurement techniques able to accurately detect the temperature-dependent INP concentration are needed. Here we present measurements of INP concentrations in ambient air under conditions relevant to mixed-phase clouds from a total of ten INP methods over two weeks in October 2018 at the Puy de Dôme observatory in central France. A special focus in this intercomparison campaign was placed on having overlapping sampling periods. Although a variety of different measurement principles were used, the majority of the data show INP concentrations within a factor of 5 of one another, demonstrating the suitability of the instruments to derive model-relevant INP data. Lower values of comparability are likely due to instrument-specific features such as aerosol lamina spreading in continuous-flow diffusion chambers, demonstrating the need to account for such phenomena when interpreting INP concentration data from online instruments. Moreover, consistently higher INP concentrations were observed from aerosol filters collected on the rooftop at the Puy de Dôme station without the use of an aerosol inlet.
Ice-nucleating particle concentration measurements from two continuous flow diffusion chambers (CFDC; Colorado State University-Continuous Flow Diffusion Chamber, CSU-CFDC; Spectrometer for Ice Nuclei, SPIN) and an expansion chamber (Portable Ice Nucleation Experiment, PINE) and seven offline freezing techniques using water suspensions of filter-collected particles sampled (FRankfurt Ice Nuclei Deposition FreezinG Experiment, FRIDGE; Ice Nucleation Droplet Array, INDA; Ice Nucleation Spectrometer of the Karlsruhe Institute of Technology, INSEKT; Ice Spectrometer, IS; Leipzig Ice Nucleation Array, LINA; LED based Ice Nucleation Detection Apparatus LINDA; Micro-Orifice Uniform Deposit Impactor–Droplet Freezing Technique, UNAM-MOUDI-DFT).
The Puy de Dôme ICe Nucleation Intercomparison Campaign (PICNIC): Comparison between online and offline methods in ambient air
:title = "OCS 60deg longitude 10deg latitude mean profiles from MIPAS single retrievals"; :institution = "Karlsruhe Institute of Technology - Institute for Meteorology and Climate Research"; :organization = "KIT/IMK-ASF"; :global_target_name = "OCS"; :source = "Satellite MIPAS on Envisat"; :type_of_data = "MEASUREMENTS"; :experiment = "MIPAS"; :platform = "SATELLITE"; :name_of_platform = "ENVISAT"; :original ungridded retrievals = "https://www.imk-asf.kit.edu/english/308.php" :data_version = "V5H_OCS_20,V5R_OCS_221,V5R_OCS_222,V5R_OCS_120"; :author = "SAT-group at KIT/IMK-ASF"; :institute = "KIT/IMK-ASF"; :address = "P.O.B. 3640, 76021 Karlsruhe, Germany"; :email = "norbert.glatthor@kit.edu, michael.hoepfner@kit.edu"; :distribution_statement = "Please follow data policy instructions for the use of this data, to be found on the data distribution site."; :references = "Glatthor et al., 2015 (https://doi.org/10.1002/2015GL066293), Glatthor et al., 2017 (https://doi.org/10.5194/acp-17-2631-2017) "; :comment = "Gridded from data which was retrieved from single scan retrievals"; :file_creation_time = "Wed Oct 9 18:31:05 2019"; :file_modification_time = " "; :file_modification_description = "negative values have been skipped for averaging";
Combined gridded carbonyl sulfide (OCS) dataset from MIPAS
Processed micro-tomographic scan of the ant Tapinoma simrothi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The repository contains a general description of borehole location and logging information, the raw data file in WellCAD-Format and a pdf of the logging data.
DAMAST-KIT-Spartak: Geophysical Borehole Logging Data
Processed micro-tomographic scan of the ant Tetraponera binghami, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myopias sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex nigrescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Regionalwissenschaft (IFR), Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT), Natürliche und gebaute Umwelt (BL4), Karlsruher Institut für Technologie (KIT)
Overview of climate adaptation measures for the research project ‘Development of planning tools for climate protection and climate adaptation in overall spatial planning using remote sensing’. The project was commissioned by the Hessian Ministry of Economics, Energy, Transport, Housing and Rural Affairs (HMWVW).
Übersicht der Klimaanpassungsmaßnahmen zum Forschungsprojekt "“Entwicklung von Planungshilfen für Klimaschutz und Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung“. Auftraggeber ist das Hessische Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und Ländlichen Raum (HMWVW).
Die Maßnahmentabelle ist Teil der Veröffentlichungen des Forschungsprojektes "“Entwicklung von Planungshilfen für Klimaschutz und Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung“, und bietet die Referenz für die Kapitel zu Klimaanpassungsmaßnahmen für den Abschlussbericht sowie den Leitfaden. Auftraggeber ist das Hessische Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und Ländlichen Raum (HMWVW).
Übersicht der Maßnahmentypen zur Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung_Juni-2025
Processed micro-tomographic scan of the ant Cephalotes depressus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gigantiops destructor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma tuberculatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In the frame of the PRESLHY project more than 100 experiments on hydrogen – air flame propagation regimes in a shock tube at cryogenic temperatures were made with the combustion tube at the KIT HYKA test site. More than half of the experiments were made at cryogenic temperatures (between approx. 90 K and 130 K). The rest experiments were conducted at ambient conditions as the reference data. It was however possible to provide experimental data at various H2 concentrations from 8 to 60 Vol. %H2 and 3 blockage ratios (BR = 0, 0.3 and 0.6). During the course of the experiments, many experimental difficulties and peculiarities specific for cryogenic temperatures were encountered. Critical conditions for flame acceleration to the speed of sound and to the detonation onset at cryo-temperatures were experimentally found. It was also found that the danger of hydrogen combustion and explosion in terms of maximum combustion pressure is much higher than at ambient temperatures because of several times higher density of the combusted substance. Then, even for sonic deflagration at cryogenic temperatures, the maximum pressure might be higher than the detonation pressure at ambient conditions. The data obtained in current work can be used for safety distance assessment for LH2 safety applications.
7zip-files: The naming convention of the corresponding 7zip-files largely follows the one provided in the Data Management Plan at ambient temperature 293K reads as follows: PT0-25.7z with PT indicating the PRESHY tube, the index 0 means a smooth tube with blockage ratio BR = 0%, then the test number 25 corresponds to certain hydrogen concentration of 15%H2. For cryogenic temperatures, it reads as follows: PT30C-25.7z with the meaning the PRESLHY tube experiment number 25 in an obstructed tube with blockage ratio BR = 30% at cryogenic temperature (prefix C). The experimental conditions should be addressed to the test number 25 with hydrogen concentration 15.2%H2 Each data file consist of original recording “.TPC”-file converted to a CSV format file with extension “.ASC”. The structure of these files is simple. They are columnar comma separated CSV tables. The first line contains the time and names of the channel: Time, TRG, P01, P02, P03, P04, P05, P06, P07, P08, P09, P10, P11, P12, P13, F01, F02, F03, F04, F05, F07, F08, F09, F10, F11, F12, F13, F14, F15 “TRG” is the trigger signal; “P” is the pressure sensor; “F” is the light sensor (InGaAs). The second line contains the unit for each sensor: s, V, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, V, V, V, V, V, V, V, V, V, V, V, V, V, V The third line shows the start time of each channel. Because of the simultaneous data acquisition, the start times are identical for all channels and can be omitted. The “Time” column gives the time relative to the trigger event. The trigger event is recorded in the “TRG” column. In fact, it should be synchronized with a spark plug but actually, it can be a delay between the trigger signal and spark actuation. Even, it might be no ignition phenomena. Next lines give the signal value for each sensor versus time (in first column). WMF: The original results are also presented in graphic form as so called distance time diagrams. The diagram for each test reads as follows: PT0-24-long-RT.wmf With the same meaning as for the raw data file with an additional index long or short according to captured registration time and prefix RT means distance (radius) time diagram. WMF means the Windows Meta File format. This number corresponds to the test PT0-24 for smooth tube with blockage BR = 0% at ambient temperature wth hydrogen concentration 15.2%. The distance-time diagram shows pressure - and photodiode signals - time histories (horizontal axis, t in seconds) placed vertically in accordance with the real position in a tube (vertical axis, X in m). The pink line goes through the points corresponding to the flame arrival time based on photodiode signals (blue lines). The slope dX/dt of the flame trajectory in X-t coordinates is the flame velocity Uf.
Flame propagation regimes at cryogenic temperature
Processed micro-tomographic scan of the ant Crematogaster sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is the appendix of a paper accepted in EuroUSEC 2020. It will be added as online material through a link.
Analysis of publicly available anti-phishing webpages: contradicting information, lack of concrete advice and very narrow attack vector (Online Material)
Drill Core Photos Tyrnyauz Wells T1 and Well 1500
Processed micro-tomographic scan of the ant Hypoponera foreli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex cf iheringi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0022, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0022 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0020, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0020 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Carebara trechideros, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Thermische Energietechnik und Sicherheit
The presented video files demonstrate the behavior of combustion, its speed and acceleration, under various initial conditions: temperature, pressure, block ratio. The corresponding data (temperature, pressure, concentrations) in distribution and ignition modes are also presented.
In the frame of the PRESLHY project W.P. 5.3. a series of experiments was carried out. The phenomena of cryogenic hydrogen combustion in a layer geometry relevant to flame spread over the spill of LH2 and flame acceleration and deflagration-detonation-transition for cryogenic hydrogen-air clouds in an enclosure were studied. The objective of work was completing the experimental database on cryogenic LH2 combustion, including laminar steady state and turbulent combustion and detonation of LH2 and gaseous hydrogen in air at cryogenic temperatures.
cryogenic hydrogen combustion in a layer geometry
PRESLHY Experiment series 5.3; block ratio: 60%; initial temperature: ambient (warm)
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0003, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0003 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Syllophopsis sp_nr_sechellensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Droplet Microarray as a Powerful Platform for Seeking New Antibiotics Against Multidrug-Resistant (MDR) Bacteria
Processed micro-tomographic scan of the ant Sericomyrmex mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Processed friction data, wear tracks obtained by confocal microscopy, Raman spectroscopy and SEM images.
Tribological behaviour of a graphite-phenolic resin solid lubricant under high mechanical load
PRESLHY Experiment series 5.3; block ratio: 0%; initial temperature: ambient (warm)
PSC volume density profiles retrieved from single MIPAS/Envisat limb scans. Two profiles are provided, 0: retrieved with assumption of 3um radius particles, 1: retrieved with assumption of 0.2um radius particles. These profiles are min/max limits for the volume densities with res1 < 5-10 um3 cm-3. For STS, profiles res1 are best suited. Profiles with res1 > 5-10 um3 cm-3 contain ice and in this case the real volume densities may be even larger.CAUTION: at 26 km and 28 km, retrieval instabilities may be present in case of thick ice PSCs below. For more information, see article: The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud (PSC) volume density profiles, M. Hoepfner, T. Deshler, M. Pitts, L. Poole, R. Spang, G. Stiller, T. v. Clarmann, Atmos. Meas. Tech., 2018, https://doi.org/10.5194/amt-2018-163
A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in-situ balloon observations have been performed . The finally selected wavenumber range was 831–832.5 cm-1. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40-45%, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 μm3cm-3, a detection limit of about 0.1–0.2 μm3cm-3 and a vertical resolution of around 3 km. Comparisons with co-incident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.
Michelson Interferometer for Passive Atmospheric sounding
The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud (PSC) volume density profiles
Processed micro-tomographic scan of the ant Orectognathus versicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
2 Inverse vulcanization of norbornenylsilanes
Processed micro-tomographic scan of the ant Mycetophylax strigatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera laevigata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dieser Beitrag enthält experimentelle Wärmeübertragungsdaten für eine turbulente Rohrströmung der Flüssigmetalllegierung GaInSn. Das horizontale Rohr wird azimutal inhomogen beheizt und es werden vier verschiedene Orientierungen des Wärmestroms im Vergleich zur Erdbeschleunigung untersucht. Die Reynoldszahl der Strömung wird im Bereich von $8 \cdot 10^{3} < \mathrm{Re} < 1 \cdot 10^{5}$ variiert.
Raw and analyzed data for the heat transfer of a horizontal turbulent tube flow of the liquid metal alloy GaInSn summarized in an excel file.
This contribution provides experimental heat transfer data for a turbulent tube flow of the liquid metal alloy GaInSn. The horizontal tube is azimuthally inhomogeneous heated and four different orientations of the heat flux compared to the gravitational acceleration are examined. The Reynolds number of the flow is varied in the range of $8 \cdot 10^{3} < \mathrm{Re} < 1 \cdot 10^{5}$.
Heat transfer data of a horizontal turbulent tube flow of GaInSn with azimuthal inhomogeneous heat flux with focus on mixed convection
Processed micro-tomographic scan of the ant Nylanderia okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex balzani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis savignyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys langi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
This archive contains primary data for the manuscript “Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave”. Article: ------------------------------- * Authors: Oertel, Annika; Pickl, Moritz; Quinting, Julian F.; Hauser, Seraphine; Wandel, Jan Lucas; Magnusson, Linus; Balmaseda, Magdalena; Vitart, Frédéric; Grams, Christian M. * Title: Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave. * Journal: Geophysical research letters * Publication Year: 2023 * doi: https://doi.org/10.1029/2022GL100958 The data set contains numerical experiments produced with the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). Following the approach of Magnusson (2017), the forecast model is nudged towards the analysis in a pre-defined regional box during the model integration, leading to a perfect forecast within the box and reduced forecast errors downstream. The experiments, comprising 22 ensemble members plus control forecast each, are initialized on 19, 20 and 21 June 00 UTC and run until 360 hours lead (see Oertel et al. 2023 for details). The nudging is constrained to the region 100°–160°E, 15°–45°N (Experiment “relax_exp_WPAC”). For comparison, additional nudging experiments with a box shifted further upstream (60°–100°E, 0°–60°N) were performed (Experiment “relax_exp_UPSTREAM”). Data description: ------------------------------- The dataset is in netCDF format and contains the variables geopotential (z), temperature (t), zonal (u), meridional (v) and vertical (w) wind components, and specific humidity (q) on the pressure levels 1000, 925, 850, 700, 500, 300, 200 and 100 hPa. References: ------------------------------- Magnusson, L. (2017). Diagnostic methods for understanding the origin of forecast errors. Quarterly Journal of the Royal Meteorological Society, 143 (706), 2129–2142. doi:10.1002/qj.3072
Numerical experiments to "Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave"
Processed micro-tomographic scan of the ant Crematogaster rectinota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute for Molecular Systems and Engineering (IMSE), Heidelberg University
Institute of Applied Physics and Institue of Nanotechnolgy, Karlsruhe Institute of Technology
Organic Chemistry Institute and Centre for Advanced Materials, Heidelberg University; Institue of Nanotechnolgy, Karlsruhe Institute of Technology
Physical Chemistry Institute, Heidelberg University
Organic Chemistry Institute and Centre for Advanced Materials, Heidelberg University
Institute of Applied Physics, Karlsruhe Institute of Technology
Institute for Functional Interfaces and Karlsruhe Nano Micro Facility, Karlsruhe Institute for Technology
Facile Approach for 4D Microprinting of Multi-Photoresponsive Actuators
Research Data to the Article "Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI "
Research Data to the Article "Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI
Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI - Research Data
Processed micro-tomographic scan of the ant Trichomyrmex oscaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole cavifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Python code for analyzing the pore diameter of biocatalytic foams microscopy images.
Pythoncode used in: "Biocatalytic Foams from Microdroplet-Formulated Self-Assembling Enzymes"
# Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" (Version 2) These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published on [arXiv](https://arxiv.org/) in 2025. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8` for the main experiments and `3.9` for the competitor-runtime experiments. With this configuration, running the main experimental pipeline (`main_experiments/run_experiments.py`) took about 34 hours. Note that the experimental data originate from multiple pipeline runs, as we have two experimental pipelines, and we reran one of them to include additional subgroup-discovery methods: - The commit hash for the last run of the competitor-runtime experimental pipeline (`competitor_runtime_experiments/run_competitor_runtime_experiments.py`) is [1a026326b3](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/1a026326b34246a9fcf4df658a99a898b5fd38e1) (tag: `competitor-runtime-2025-01-12`). - The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) except the subgroup-discovery methods *BSD* and *SD-Map* is [0a57bcd529](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/0a57bcd52938dce6285e8113d777360c2b17f30f) (tag: `run-2024-05-13`). These data are identical to the [experimental data for v1 of the paper](https://doi.org/10.35097/caKKJCtoKqgxyvqG). - The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) for the (new) subgroup-discovery methods *BSD* and *SD-Map* is [50dd82e0fc](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/50dd82e0fcd175a4068ef4ce838dcacdc1045fc9) (tag: `run-2025-01-21-arXiv-v2`). The main experimental pipeline did not change between the last two mentioned commits (except for refactorings and to include two new subgroup-discovery methods), and the competitor-runtime experimental pipeline changed neither. Thus, using the tag `run-2025-01-21-arXiv-v2` to reproduce all experiments should yield the same results (except runtimes and timeout-affected results). The commit hash for the last run of the two evaluation pipelines (`main_experiments/run_evaluation_arxiv.py` and `competitor_runtime_experiments/run_competitor_runtime_evaluation_arxiv.py`) is [bc3aafc904](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/bc3aafc904cc27214d458f93782104484ffc372d) (tag: `evaluation-2025-02-16-arXiv-v2`). The experimental data are stored in five folders, i.e., `competitor-runtime-datasets/`, `competitor-runtime-results/`, `datasets/`, `plots/`, and `results/`. Further, the console output of `main_experiments/run_evaluation_arxiv.py` is stored in `Evaluation_console_output_main.txt`, and the console output of `competitor_runtime_experiments/run_competitor_runtime_evaluation_arxiv.py` is stored in `Evaluation_console_output_competitor_runtimes.txt`. We manually copied both evaluation outputs from the console to a file. In the following, we describe the structure and content of each data file. ## `competitor-runtime-datasets/` These are the input data for the competitor-runtime experimental pipeline `competitor_runtime_experiments/run_competitor_runtime_experiments.py`. They were obtained with the script `competitor_runtime_experiments/prepare_competitor_runtime_datasets.py`. The folder structure of `competitor-runtime-datasets/` is similar to that of the dataset folder of the main experiments (`datasets/`), so please consult the corresponding section of this document for more details on the contained file types. The main difference is that only five of the 27 PMLB datasets are included, plus the `iris` dataset provided by `scikit-learn`. ## `competitor-runtime-results/` These are the output data of the competitor-runtime experimental pipeline in the form of CSVs, produced by the script `competitor_runtime_experiments/run_competitor_runtime_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `competitor_runtime_experiments/run_competitor_runtime_evaluation_arxiv.py`. The remaining 325 files are subsets of the results. The competitor-runtime experimental pipeline parallelizes over 6 datasets, 5 cross-validation folds, and 17 subgroup-discovery methods. Thus, a full cross-product would yield `6 * 5 * 17 = 510` files containing subsets of the results, but some subgroup-discovery methods timed out on some datasets, so the corresponding result files are missing. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` The remaining column, `fitting_time`, represents the evaluation metric. In detail, all result files for the competitor-runtime experiments contain the following columns (whose names are consistent with the main experiments): - `fitting_time` (non-negative float): The runtime (in seconds) of the subgroup-discovery method. - `dataset_name` (string, 6 different values): The name of the dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 17 different values): The name of the subgroup-discovery method, consisting of the package name and the algorithm name (e.g., `sd4py.Beam`). - `param.k` (int in `[1, 5]`): The feature-cardinality threshold for subgroup descriptions. ## `datasets/` These are the input data for the main experimental pipeline `main_experiments/run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 27 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `main_experiments/prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. For the prediction target, we ensured that the minority (i.e., less frequent) class is the positive class (i.e., has the class label `1`), so the labeling may differ from PMLB. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `plots/` These are the output files of the main evaluation pipeline `main_experiments/run_evaluation_arxiv.py`. We include these plots in our paper. ## `results/` These are the output data of the main experimental pipeline in the form of CSVs, produced by the script `main_experiments/run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `main_experiments/run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the main experimental pipeline parallelizes over 27 datasets, 5 cross-validation folds, and 8 subgroup-discovery methods. Thus, there are `27 * 5 * 8 = 1080` files containing subsets of the results. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` (missing value if no feature-cardinality constraint employed) - solver timeout `param.timeout` (missing value if not solver-based search) - number of alternatives `param.a` (missing value if only original subgroup searched) - dissimilarity threshold `param.tau_abs` (missing value if only original subgroup searched) For each value combination of these seven columns, there is either one subgroup (search for original subgroups) or six subgroups (search for alternative subgroup descriptions, in which case the column `alt.number` identifies individual subgroups within a search run). Further, note that the last four mentioned columns contain missing values, which should be treated as a category on their own. In particular, if you use `groupby()` from `pandas` for analyzing the results and you want to include any of the last four mentioned columns in the grouping, you should either fill in the missing values with an (arbitrary) placeholder value or use the parameter `dropna=False`, because the grouping (by default) ignores the rows with missing values in the group columns otherwise. The remaining columns represent results and evaluation metrics. In detail, all result files contain the following columns: - `objective_value` (float `>= -0.25` + missing values): Objective value of the subgroup-discovery method on the training set. Usually quantifies WRAcc (in `[-0.25, 0.25]`) when searching original subgroups and normalized Hamming similarity (in `[0, 1]`) when searching alternative subgroup descriptions. First exception: The subgroup-discovery method *MORS* has missing values since *MORS* does not explicitly compute an objective when searching for subgroups. Second exception: The subgroup-discovery methods *BSD* and *SD-Map* use WRAcc times the number of data objects (a dataset-dependent constant) as objective, so the objective value is higher than for the remaining subgroup-discovery methods. - `optimization_status` (string, 2 different values + missing values): For *SMT*, `sat` if optimal solution found and `unknown` if timeout. Missing value for all other subgroup-discovery methods (which do not use solver timeouts). - `optimization_time` (non-negative float): The optimization runtime (in seconds) inside the subgroup-discovery method, i.e., without pre- and post-processing steps. - `fitting_time` (non-negative float): The complete runtime (in seconds) of the subgroup-discovery method (as reported in the paper), i.e., including pre- and post-processing steps. Very similar to `optimization_time` except for *SMT* as the subgroup-discovery method, which may spend a considerable amount of time formulating the optimization problem. - `train_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the training set. - `test_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the test set. - `train_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the training set. - `test_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the test set. - `box_lbs` (list of floats, e.g., `[-inf, 0, -inf, -2, 8]`): The lower bounds for each feature in the subgroup description. Negative infinity if a feature's lower bound did not exclude any data objects from the subgroup. - `box_ubs` (list of floats, e.g., `[inf, 10, inf, 5, 9]`): The upper bounds for each feature in the subgroup description. Positive infinity if a feature's upper bound did not exclude any data objects from the subgroup. - `selected_feature_idxs` (list of non-negative ints, e.g., `[0, 4, 5]`): The indices (starting from 0) of the features selected (= restricted) in the subgroup description. Is an empty list, i.e., `[]`, if no feature was restricted (so the subgroup contains all data objects). - `dataset_name` (string, 27 different values): The name of the `PMLB` dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 8 different values): The name of the subgroup-discovery method (`Beam`, `BI`, `BSD`, `MORS`, `PRIM`, `Random`, `SD-Map`, or `SMT`). - `param.k` (int in `[1, 5]` + missing values): The feature-cardinality threshold for subgroup descriptions. Missing value if unconstrained subgroup discovery. Always `3` if alternative subgroup descriptions searched. - `param.timeout` (int in `[1, 2048]` + missing values): For *SMT*, solver timeout (in seconds) for optimization (not including time for formulating the optimization problem). Missing value for all other subgroup-discovery methods. - `alt.hamming` (float in `[0, 1]` + missing values): Normalized Hamming similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.jaccard` (float in `[0, 1]` + missing values): Jaccard similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.number` (int in `[0, 5]` + missing values): The number of the current alternative if alternative subgroup descriptions searched. Missing value if only original subgroup searched. Thus, original subgroups either have `0` or a missing value in this column (i.e., for experimental settings where alternative subgroup descriptions searched, there is no separate search for an original subgroup, only a joint sequential search for original and alternatives). - `param.a` (int with value `5` + missing values): The number of desired alternative subgroup descriptions, not counting the original (zeroth) subgroup description. Missing value if only original subgroup searched. - `param.tau_abs` (int in `[1, 3]` + missing values) The dissimilarity threshold for alternatives, corresponding to the absolute number of features that have to be deselected from the original subgroup description and each prior alternative. Missing value if only original subgroup searched. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the columns `box_lbs`, `box_ubs`, and `selected_feature_idxs` (which represent lists and whose values are quoted except for empty lists). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as lists (rather than plain strings): ```python import ast results['selected_feature_idxs'] = results['selected_feature_idxs'].apply(ast.literal_eval) ``` Note that this conversion does not work for `box_lbs` and `box_ubs`, where the lists not only contain ordinary numbers but also `-inf`, and `inf`; see [this *Stack Overflow* post](https://stackoverflow.com/questions/64773836/error-converting-string-list-to-list-when-it-contains-inf) for potential alternatives.
These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" This version of the paper was published on [arXiv](https://arxiv.org/) in 2025. You can find the paper [here](https://doi.org/10.48550/arXiv.2406.01411) and the code [here](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" (Version 2)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0029, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0029 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Leptogenys birmana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lachnomyrmex victori, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Observation of Floppy Flexural Modes in a 3D Polarized Maxwell Beam
Processed micro-tomographic scan of the ant Solenopsis tridens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes serraticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Allomerus octoarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The computations are done with Python3. ##### Requirements The code is tested on Ubuntu 20.04.4 LTS with Python 3.8.10 and the following versions of its modules numpy - 1.17.4 scipy - 1.3.3 h5py - 2.10.0 dolfin (fenics) - 2019.2.0.dev0 (including mshr) matplotlib - 3.1.2 tikzplotlib - 0.9.6 (only for generating tikz/pgfplots files) ##### Generation of figures Figures **4.6, 4.7, 4.8, 4.9, 4.10, 5.3, 5.4, 5.5, 5.7 (including 5.6)**, and **5.8** can be generated with this code. In order to obtain Figure X.Y either - execute the Python script **script_Figure-XpY.py** in a suitable integrated development environment or - run the command **python3 script_Figure-XpY.py** in a terminal session. The scripts for Figures 4.6, 4.8, 4.10, and 5.5 only produce half of the figures. To get the other half, open the script and set the Boolean variable at the beginning of the script from `True` to `False` (case sensitive). - Figure 4.6: Boolean variable `LFC_unstab` + `True` : Figures 4.6 (a), (c), (e), (g) + `False`: Figures 4.6 (b), (d), (f), (h) - Figure 4.8: Boolean variable `stepsize_small` + `True` : Figures 4.8 (a), (b) + `False`: Figures 4.8 (c), (d) - Figure 4.10: Boolean variable `LFCpol_to_G` + `True` : Figures 4.10 (a), (b), (c) + `False`: Figures 4.10 (d), (e), (f) - Figure 5.5: Boolean variable `stepsize_small` + `True` : Figures 5.5 (a) + `False`: Figures 5.5 (b) Instead of the plots you can get the tikz/pgfplots files which were used for the figures in the thesis by setting the Boolean variable `plot_figure` from `True` to `False` in the scripts.
This code has been used for the numerical experiments in the thesis "On leapfrog-Chebyshev schemes for second-order differential equations" by Constantin Carle; see https://www.doi.org/10.5445/IR/1000147725.
Numerical experiments to "On leapfrog-Chebyshev schemes for second-order differential equations"
This publication includes data for the German electricity system in 2030 and a corresponding documentation of the methodology of data acquisition and preprocessing. The data set includes 1.) topological data on the transmission grid, the generation infrastructure and the demand, 2.) a time series of electricity demand in 2030 in an hourly resolution, 3.) a time series of renewable generation in 2030 in an hourly resolution, and 4.) dispatchable generation capacity and costs in 2030. All data is spatially resolved, at the level of 485 nodes.
The German Electricity System in 2030: Data on Consumption, Generation, and the Grid (updated version)
List of identified sources of product models for embodiment design. Extension of the contribution "Product Models in Embodiment Design - An Investigation of Challenges and Possibilities"
Research Results: "Product Models in Embodiment Design - An Investigation of Challenges and Possibilities"
Processed micro-tomographic scan of the ant Streblognathus peetersi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera goeldi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 50 h of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 50 h of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 50 h
Processed micro-tomographic scan of the ant Linepithema sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Neuer Forschungsdatensatz zu finden unter https://publikationen.bibliothek.kit.edu/1000152366 ## RIBLETS IN FULLY DEVELOPED TURBULENT CHANNEL FLOW This database features high-precision pressure drop and flow rate measurements in an air channel flow facility with aspect ratio 1:12 which were taken to determine the skin friction drag reduction of riblets. In this facility the channel flow is fully turbulent for bulk Reynolds numbers above 5000. The dataset includes values for the smooth wall reference case and three geometrically different sets of riblets. Multiple flow rate measurement devices are used (see table1), namely an inlet nozzle and an orifice flow meter. The measurements were taken by Andreas Güttler, Lars von Deyn and Luigi Coppini. table1: | type | index | diameter | range in Reb | | -------- -- |-------|-----------|--------------| | orifice | 1 | 60[mm] |3000<Reb<13000 | orifice | 2 | 105[mm] |7000<Reb<38000 | orifice | 3 | 150[mm] |30000<Reb<89000 | inlet nozzle| 4 | 60[mm] |6000<Reb<24000 ___ References: A. Güttler. High accuracy determination of skin friction differences in an air channel flow based on pressure drop measurements. PhD thesis, Karlsruhe Institute of Technology, 2015. DIN EN ISO 5167:Measurement of fluid flow by means of pressure differential devices inserted in circular cross-section conduits running full, 2004. ___ Content: * reference results of smooth turbulent channel flow measured in the range of 5000<Reb<89000. * three geometrically different sets of ribelts measured in the range of 5000<Reb<89000. ``` _____s_____ /\ /\ | / \ / \ |h ___/ \_____/ \_|___ ``` table2: | | s[mu] | h[mu] | tip angle | Reb_opt | | ------- |-------|---------|-------------|-----------| |set1 |614 |294 |53.5 | 11400 | |set2 |170 |160 |50 | 50000 | |set3 |86 |83 |51 | 97000 | --- lars.deyn@kit.edu davide.gatti@kit.edu bettina.frohnapfel@kit.edu
This database features high-precision pressure measurements in a wind tunnel facility used to determine the skin friction drag reduction of ribelts. Please refer to the README below for further information.
Riblets in fully developed turbulent channel flow
Processed micro-tomographic scan of the ant Lasius sakagamii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This file contains all simulated data points published in the article "Pressure evolution and gas solubility of Li-ion battery electrolytes during thermal abuse conditions" in the Journal of Power Sources. The data is stored in individual sheets for each figure.
Pressure evolution and gas solubility of Li-ion battery electrolytes during thermal abuse conditions
Processed micro-tomographic scan of the ant Camponotus cf nearcticus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Rohdaten zu der Publikation ArduiTaM: accurate and inexpensive NMR auto tune and match system DOI 10.5194/mr-1-105-2020
Dataset to the publication 'ArduiTaM: accurate and inexpensive NMR auto tune and match system'
Data available for N2 physisorption (pdf files), SEM (tif files or word documents), TEM (tif files and in instrument specific data format), XRD (asc files or instrument specific software), catalytic data for syngas-to-dimethyl ether (Excel files)
Data to publication: N2 physisorption (BET), TEM and SEM images, EDX analysis, XRD analysis
Daten zur Veröffentlichung: N2-Physisorption (BET), TEM- und REM-Bilder, EDX-Analyse, XRD-Analyse
Research data to "Bifunctional Catalysts based on PdZn/ZnO and Hierarchical Zeolites in the Direct Synthesis of Dimethyl Ether from CO-Rich Syngas: Influence of the Support and the Zn/Pd Molar Ratio"
Processed micro-tomographic scan of the ant Cyphomyrmex rimosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
### Supplementary Research Data for the dissertation ### "Comprehensive insights into the impedimetric characterization of dielectric thin films" ### by Benedikt Sapotta Important: The impedance spectra are disclosed as .DTA files which can be accessed with e.g. the text editor ### Content #### 1 Estimation of IDE cell constant - python script to calculate an IDE cell constant based on https://doi.org/10.1016/0925-4005(95)85053-8 #### 2 Estimation of effective permittivity of coated IDE - python script to calculate the effective permittivity of a coated IDE structure base on https://doi.org/10.1016/j.sna.2011.09.033 and https://doi.org/10.1016/j.sna.2004.01.040 - functionality of the python script is demonstrated by reproducing figure 7 and 8 from https://doi.org/10.1016/j.sna.2011.09.033 #### 3 Uncoated IDE data - light and scanning electron micrographs of the uncoated IDE structures - impedance spectra discussed in chapter 5.2 together with the data fit results using ECM 1 - impedance spectra and evaluation procedure discussed in chapter 5.3 - python scripts to compute the reference conductivities "Expected Conductivities.py" and reference permittivities "Expected Permittivities.py" - data fit results to the aqueous KCl solutions copied into an excel file - python script to compute the capacitance C\_Par+C\_Geo from the DRM impedance spectra "Capacitance\_Calculator.py" - python script to compute the relative permittivities of the DRMs from C\_Par+C\_Geo "Permittivity\_Calculator.py" - python script to compute the electrolytic condudctivity of the CRMs from the R\_E best fit estimates "Conductivity\_Calculator.py" #### 4 HKUST\-1 coated IDE data - data and evaluation procedures for the coated 5 µm electrode chip discussed in chapter 6.1 - impedance spectra collected with the - DRMs: 1-butanol, ethanol and air to obtain C\_Par and K\_Cell of the electrode chip - linker precursor solution as a function of the growth cycles (1-205) - metal precursor solution as a function of the growth cycles (1-205) - ECM 2 fit results to the metal and linker data copied into the excel file "ECM\_2\_BatchFit\_Results.xlsx" - an animated bode plot of the linker and metal impedance spectra - python script for the monte carlo modelling to obtain the coating permittivities and thickness based on the impedance data "MC\_modelling\_growth\_data.py" - a simplified data flow chart as .png to facilitate the understanding of "MC\_modelling\_growth\_data.py" - an assortment of scanning electron micrographs depicting the coated IDE structures - data and evaluation procedures for the coated 10 µm electrode chip discussed in chapter 6.2 - python script which was used for the automated uptake of impedance spectra during the HKUST-1 coating process "SURSENSOR.py" - impedance data (FS= full impedance spectrum, SF= single frequency impedance data) collected with the - DRMs: 1-butanol, ethanl and air to obtain C\_Par and K\_Cell - linker precursor solution as a function of the growth cycle (1-200) - spectra were recorded after the 300, 600 and 900 seconds after the initial exposure to the linker solution, only the 900 s data was evaluated - single frequency impedance data was recorded during the initial 300 seconds of the linker solution exposure step at 100 kHz - metal precursor solution as a function of the growth cycle (1-200) - spectra were recorded after 200, 400 and 600 seconds after initial exposure to the metal solution, only the 600 s data was evaluated - single frequency impedance data was recorded during the initial 200 seconds of the metal solution exposure step at 100 kHz - testing solutions as a function of the growth cycle - spectra were recorded after 180, 240 and 300 seconds after initial exposure to the respective testing solution, only the 300 s data was evaluated - single frequency impedance data was recorded during the initial 180 seconds of each testing solution exposure step at 1 MHz - ECM 2 fit results to the metal and linker data copied into the excel file "Growth\_Data\_BatchFit\_Results.xlsx" - ECM 1 fit results to the testing solution spectra recorded before the HKUST-1 coating process copied into the excel file "Cycle\_0\_DataFits.xlsx" - ECM 2 fit results to the testing solution spectra recorded with the HKUST-1 coated electrode structure copied into the excel files "Cycle\_50DataFits.xlsx", "Cycle\_100\_Data\_Fits.xlsx", "Cycle 150 Data Fits.xlsx" and "Cycle\_200DataFits.xlsx", - python script for the monte carlo modelling to obtain the coating permittivities and conductivities during the exposure with the testing solutions "MC\_modelling\_testing\_data.py" which is an extension of "MC\_modelling\_growth\_data.py" - a simplified data flow chart as .png to facilitate the understanding of "MC\_modelling\_testing\_data.py" - python scripts to compute the testing solution permittivities "Medium\_RelativePermittvity\_Calculator.py" and conductivities "Medium\_Conductivity\_Calculator.py" - an assortment of scanning electron micrographs depicting the coated IDE structures #### 5 ZIF\-8 coated IDE data - impedance spectra collected with the - uncoated 10 µm electrode chips and the DRMs: 1-butanol, ethanol and air to obtain C\_Par and K\_Cell - ZIF-8 coated 10 µm electrode chip and the testing media: air, ethanol and 1 mM KCl dissolved in ethanol - an assortment of scanning electron micrographs depicting the ZIF8-coating on the IDE structures as well as on the silicon and gold surfaces
Supplementary research data for the thesis "Comprehensive insights into the impedimetric characterization of dielectric thin films"
Processed micro-tomographic scan of the ant Acanthomyrmex cf ferox, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia boltoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax brackoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Heteroponera panamensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vitiosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eurhopalothrix sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptothorax acervorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole noda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius japonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die vorliegenden Dateien entstanden während meiner Tätigkeit als wissenschaftlicher Mitarbeiter am Institut für Technische Mechanik, Bereich Dynamik/Mechatronik des Karlsruher Instituts für Technologie (KIT) und beinhalten verschiedene Verifikationsbeispiele meiner Doktorarbeit "Thermomechanischer Kontakt und stochastische Dynamik gleitender Körper mit rauen Oberflächen (doi:10.5445/KSP/1000158062)".
Matlab-Code zur Dissertation "Thermomechanischer Kontakt und stochastische Dynamik gleitender Körper mit rauen Oberflächen" (DOI: 10.5445/KSP/1000158062)
Fully Printed Electrolyte-Gated Transistor Formed in a 3D Polymer Reservoir with Laser Scribed Drain/Source Electrodes - data
Lehrstuhl IPD Böhm (Lehrstuhl IPD Böhm), Karlsruher Institut für Technologie (KIT)
These are experimental data for the paper: Pawel Bielski, Lena Witterauf, Sönke Jendral, Ralf Mikut, Jakob Bach. 2024. Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning, 16th International Conference on Knowledge Engineering and Ontology Development (KEOD), Porto, Portugal. The data consist of the results from the experiments and the corresponding code to create plots used in the paper.
## Folder Structure - `Use Case 1 Computer Vision`: contains jupyter notebook files to compute refinement scores for the three image classification dataset, the pickle files with the computed refinement scores, and the file to generate plots used in the paper. - `Use Case 2 Healthcare`: contains two subfolders - `experiments_code` contains the code used to reproduce the experiments on the MIMIC-III Dataset. - `experimental_results_code` contains the jupyter notebook files to compute the refinement scores for the next sequence prediction and risk prediction tasks, the pickle files with the computed refinement scores, and the file to generate plots used in the paper.
Experimental Data for the Paper "Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning"
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe, Germany, Current address: Mathematical Institute for Machine Learning and Data Science at the Catholic University of Eichstätt-Ingolstadt, Ingolstadt, Germany
LINOZV3 implementation into ICON as part of the ART submodule (for the manuscript : Ramezani Ziarani, M., Sinnhuber, M., Reddmann, T., Funke, B., Bender, S., and Prather, M.: Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2024-227, in review, 2025. All routines listed here are available at the following URL: https://gitlab.dkrz.de/art/art/-/tree/art-linozv3-wip?ref_type=heads. Access to the repository is regulated by the general ICON model access conditions. The latest developments, including the implementation of LINOZ V3, are planned for inclusion in the upcoming release of the ART submodule within ICON. This new version is scheduled for publication as part of Open ICON in the spring 2025. (More information on the latest releases can be found here: https://www.wdc-climate.de/ui/entry?acronym=IconRelease2024.10.)
LINOZV3 implementation into ICON as part of the ART submodule
Institut für Nanotechnologie, Karlsruhe Nano Micro Facility, Technische Universität Darmstadt
Institut für Nanotechnologie, Werkstoffkunde
Institut für Nanotechnologie, Werkstoffkunde, Karlsruhe Nano Micro Facility
Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph mrc - ImageJ emd - Velox
Transformation Kinetics of LiBH$_{4}$–MgH$_{2}$ for Hydrogen Storage
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 9)
Processed micro-tomographic scan of the ant Pheidole rhea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
http://orcid.org/This dataset contains about 1.8 million body surface potentials (BSPs) simulated using 1000 heart models generated using a statistical shape model. It has been used in [1,1a]. Here, only the noise-free BSPs are provided. Due to its size, this is a multi-part dataset. Part 1: https://doi.org/10.5445/IR/1000156139 Part 2: https://doi.org/10.5445/IR/1000156554 Part 3: https://doi.org/10.5445/IR/1000156555 Part 4: https://doi.org/10.5445/IR/1000156556 Part 5: https://doi.org/10.5445/IR/1000156557 Each archive XXXX-YYYY.tar contains 20 heart models and corresponding signals. Each subdirectory within the archive contains: - heart.vtp: A triangle mesh of the heart including the point data: - ab, rt, rtCos, rtSin, tm, tv: Consistent biventricular coordinates [2]. - class: Boundary regions used as input for the computation of fiber orientations [3]. - trigger: 1-based indices of the ca. 600 foci (-1000 if not a focus). - heart_transform_matrices.mat: A 1 x 3 cell array containing 4 x 4 transformation matrices that describe the pose of the heart within the torso. Apply the matrix from heart_transform_matrices.mat to the nodes in heart.vtp. - actTimes.mat: A numNodes x numFoci matrix of activation times computed using the fast iterative method [4,5] (conduction velocity in fiber direction: 1 m/s, perpendicular to fiber direction: 1/2.7 m/s). - bsp.mat: - bsp: A numElectrodes x numTimeSamples x numHeartPoses x numFoci matrix of BSPs computed by aligning a transmembrane voltage template with scaled activation times (see actTimeScalings.mat below) and solving the second bidomain equation using the boundary element method [6]. - bspEnd: Time index of the end of depolarization (largest scaled activation time). The archive general.tar contains heart-model-independent data and parameters used to generate the individual heart models: - torso.vtp: A triangle mesh of the torso including the point data: - electrodes: 1-based indices of the 200 electrodes (-1000 if not an electrode). - heart_meanshape.vtp: A triangle mesh of the mean shape of the statistical shape model [7,8]. - heart_shapemodel.mat: - pc: A 3*numNodes x numModes matrix of principal components (numModes = 100). - var: A numModes x 1 vector of variances. - weights: A numModes x numModels matrix of weights used to generate the 1000 heart models. - heart_alignment_matrix.mat: A 4 x 4 transformation matrix describing the alignment of the mean shape with the torso-specific heart. Only to be appleid to node coordinates in within general.tar (already contained in heart_transform_matrices.mat). - heart_transform_params.mat: A struct containing roll, pitch, yaw angles and x, y, z translations used to generate the heart_transform_matrices.mat (see above). - fiber_angles.mat: - alphaEndo: numModels x 1 vector of endocardial fiber angles used to generate fiber orientations. - alphaEpi: numModels x 1 vector of epicardial fiber angles used to generate fiber orientations. - actTimeScalings.mat: - A numModels x numFoci matrix of factors used to scale the activation times. - tmv_template.mat: The transmembrane voltage time course used to compute BSPs. - heart_classes.vtp: A coarse triangle mesh of the mean shape used for fuzzy classification. - heart_classes_subdiv.vtp: A subdivided version of the coarse triangle mesh of the mean shape used to convert between Cobiveco and barycentric coordinates. [1] https://doi.org/10.48550/arXiv.2209.08095 [1a]https://doi.org/10.1016/j.artmed.2023.102619 [2] https://doi.org/10.1016/j.media.2021.102247 [3] https://github.com/KIT-IBT/LDRB_Fibers [4] https://github.com/KIT-IBT/FIM_Eikonal [5] https://doi.org/10.1137/120881956 [6] https://doi.org/10.1016/j.cmpb.2007.09.004 [7] https://doi.org/10.5281/zenodo.4506463 [8] https://doi.org/10.1016/j.media.2015.08.009
1.8 million ECGs derived from multiscale simulations of cardiac electrophysiology of ventricular extrasystoles. 1000 anatomical variants of a bi-ventricular mesh x 600 excitation origins x 3 heart positions in the torso.
This dataset contains about 1.8 million body surface potentials (BSPs) simulated using 1000 heart models generated using a statistical shape model. It has been used in [1,1a]. Here, only the noise-free BSPs are provided. Due to its size, this is a multi-part dataset. Part 1: https://doi.org/10.5445/IR/1000156139 Part 2: https://doi.org/10.5445/IR/1000156554 Part 3: https://doi.org/10.5445/IR/1000156555 Part 4: https://doi.org/10.5445/IR/1000156556 Part 5: https://doi.org/10.5445/IR/1000156557 Each archive XXXX-YYYY.tar contains 20 heart models and corresponding signals. Each subdirectory within the archive contains: - heart.vtp: A triangle mesh of the heart including the point data: - ab, rt, rtCos, rtSin, tm, tv: Consistent biventricular coordinates [2]. - class: Boundary regions used as input for the computation of fiber orientations [3]. - trigger: 1-based indices of the ca. 600 foci (-1000 if not a focus). - heart_transform_matrices.mat: A 1 x 3 cell array containing 4 x 4 transformation matrices that describe the pose of the heart within the torso. Apply the matrix from heart_transform_matrices.mat to the nodes in heart.vtp. - actTimes.mat: A numNodes x numFoci matrix of activation times computed using the fast iterative method [4,5] (conduction velocity in fiber direction: 1 m/s, perpendicular to fiber direction: 1/2.7 m/s). - bsp.mat: - bsp: A numElectrodes x numTimeSamples x numHeartPoses x numFoci matrix of BSPs computed by aligning a transmembrane voltage template with scaled activation times (see actTimeScalings.mat below) and solving the second bidomain equation using the boundary element method [6]. - bspEnd: Time index of the end of depolarization (largest scaled activation time). The archive general.tar contains heart-model-independent data and parameters used to generate the individual heart models: - torso.vtp: A triangle mesh of the torso including the point data: - electrodes: 1-based indices of the 200 electrodes (-1000 if not an electrode). - heart_meanshape.vtp: A triangle mesh of the mean shape of the statistical shape model [7,8]. - heart_shapemodel.mat: - pc: A 3*numNodes x numModes matrix of principal components (numModes = 100). - var: A numModes x 1 vector of variances. - weights: A numModes x numModels matrix of weights used to generate the 1000 heart models. - heart_alignment_matrix.mat: A 4 x 4 transformation matrix describing the alignment of the mean shape with the torso-specific heart. Only to be appleid to node coordinates in within general.tar (already contained in heart_transform_matrices.mat). - heart_transform_params.mat: A struct containing roll, pitch, yaw angles and x, y, z translations used to generate the heart_transform_matrices.mat (see above). - fiber_angles.mat: - alphaEndo: numModels x 1 vector of endocardial fiber angles used to generate fiber orientations. - alphaEpi: numModels x 1 vector of epicardial fiber angles used to generate fiber orientations. - actTimeScalings.mat: - A numModels x numFoci matrix of factors used to scale the activation times. - tmv_template.mat: The transmembrane voltage time course used to compute BSPs. - heart_classes.vtp: A coarse triangle mesh of the mean shape used for fuzzy classification. - heart_classes_subdiv.vtp: A subdivided version of the coarse triangle mesh of the mean shape used to convert between Cobiveco and barycentric coordinates. [1] https://doi.org/10.48550/arXiv.2209.08095 [1a]https://doi.org/10.1016/j.artmed.2023.102619 [2] https://doi.org/10.1016/j.media.2021.102247 [3] https://github.com/KIT-IBT/LDRB_Fibers [4] https://github.com/KIT-IBT/FIM_Eikonal [5] https://doi.org/10.1137/120881956 [6] https://doi.org/10.1016/j.cmpb.2007.09.004 [7] https://doi.org/10.5281/zenodo.4506463 [8] https://doi.org/10.1016/j.media.2015.08.009
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 1)
Processed micro-tomographic scan of the ant Cylindromyrmex brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera verenae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This archive contains research data presented in the publication 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' [ACP]
- ICON-ART raw data for experiments 'noARI' (Hunga_noARI.tar.gz), 'noAsh' (Hunga_noAsh.tar.gz), and 'novolc' (Hunga_novolc.tar.gz)
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 3/3)
Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
The data includes the sustainability reports for the DAX40 companies used in the study for the three years of the study period. Additionally, the description text from the official SDG website are included as well as sample sentences annotated by researchers and language models.
Reading Between the Green Lines: A Framework for Scalable Greenwashing Detection - Data Set V2
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.1
Processed micro-tomographic scan of the ant Ophthalmopone berthoudi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains process data from around six hours of milling operations performed on a three-axis horizontal milling machine (DMC 60 H, Deckel Maho). To reflect the diversity and variability of real-world milling scenarios, components, tools and machining strategies relevant to the industry were used. A total of 33 milling experiments are included, covering three component types and eight anomaly types. To support full reproducibility and benchmarking applications, the dataset includes NC programs, CAD models and detailed documentation. During processing, signals were acquired from the Siemens SINUMERIK 840D CNC system via the SINUMERIK Edge app 'Analyse MyWorkpiece/Capture', which enables the export of high-frequency data at 500 Hz in JSON format (.json). Additionally, force and acceleration data recorded by external sensors is provided in MATLAB format (.mat). Each experiment also includes a combined MATLAB file in which all recorded signals are synchronized.
This dataset contains process data from around six hours of milling operations performed on a three-axis horizontal milling machine (DMC 60 H, Deckel Maho). The data was collected in a laboratory setting using industry relevant components, tools and machining strategies in order to reflect the diversity and variability of practical milling scenarios. Controller-side process signals were acquired from the Siemens SINUMERIK 840D CNC system via the SINUMERIK Edge app "Analyze MyWorkpiece/Capture", which enables high-frequency data export at 500 Hz. Additional force measurements were recorded using a force measurement platform (Kistler Type 9255C), and accelerations were captured using a sensor mounted on the main spindle (PCB Type 356A33). The force platform signals were amplified using a charge amplifier (Kistler Type 5015A1000 K) before being acquired at a sampling rate of 10 kHz useing a data acquisition card (Data Translation DT9836; referred to as DAC). The acceleration sensor was connected to the same DAC via a Kistler coupler (type 5122). Raw data from the force and acceleration sensors is provided in the form of MATLAB timetable files (.mat). The process signals from the Siemens SINUMERIK Edge are stored in JSON format (.json). Preprocessed Edge data is also available as structured CSV files: - hfdata.csv: high-frequency controller signals (e.g., position, current, torque) for the X, Y and Z axes as well as the main spindle - hfblockevent.csv: executed NC code extracted from the machine log - header.csv: recording metadata In addition, each experiment includes a consolidated MATLAB file (.mat), in which all available Edge and DAC signals are synchronized and stored as a single timetable object. To achieve this, the 500 Hz Edge signals were interpolated using the PCHIP (Piecewise Cubic Hermite Interpolating Polynomial) method to match the 10 kHz resolution of the sensor data. This unified file allows signals to be compared directly across all sources and simplifies further analysis. A MATLAB figure (Sync_Plot.fig) is also included to visualize and confirm the successful synchronization between the sensor and Edge signals. A total of, 33 milling experiments are included, covering three component types and eight anomaly types. NC programs, 3D CAD models (.stp), and detailed documentation are provided to support full reproducibility and benchmarking applications. -------------------------------------------------------------------------------------------------------------------------- Documents: - Dataset: All data files organized by component type and trial ID - Descriptive: - Design of Experiment (process parameters and configuration details for each experimental trial) - Cutting Tool information - Part description: NC programs executed during the experiments (G-code) and 3D CAD models (.stp), organised by component type Experimental Setup: - Machine: DMC 60 H (retrofitted 3-axis horizontal milling center) - Materials: S235JR (unalloyed structural steel), Al2007 T4 (aluminum alloy), POM-C (polyoxymethylene copolymer) - Cutting Tools: - HSS-Co8 end mill (TiAlN coating, Ø 20 mm, k10 tolerance) - Solid carbide end mill (TiSi coating, Ø 10 mm, f8 tolerance) - Solid carbide end mill (uncoated, Ø 5 mm, e8 tolerance) - Workpiece blank dimensions: 150x75x50mm
Der vorliegende Datensatz enthält etwa sechs Stunden Prozessdaten, die bei Fräsbearbeitungen auf einer DMC 60 H von Deckel Maho aufgezeichnet wurden. Um die Vielfalt und Variabilität realer Fräsbearbeitungen widerzuspiegeln, wurden branchenrelevante Bauteile, Werkzeuge und Bearbeitungsstrategien verwendet. Insgesamt sind 33 Fräsversuche enthalten, die drei Bauteiltypen und acht Anomalietypen abdecken. Der Datensatz umfasst NC-Programme, CAD-Modelle und eine detaillierte Dokumentation, um eine vollständige Reproduzierbarkeit und eine Anwendung als Benchmark zu ermöglichen. Während der Bearbeitung wurden die Signale der SINUMERIK 840D Steuerung über die SINUMERIK Edge App „Analyse MyWorkpiece/Capture” erfasst. Diese ermöglicht einen Datenexport mit 500 Hz im JSON-Format (.json). Zusätzlich werden die von externen Sensoren aufgezeichneten Kraft- und Beschleunigungsdaten im MATLAB-Dateiformat (.mat) bereitgestellt. Jeder Versuch umfasst zudem eine MATLAB-Datei, in der alle aufgezeichneten Signale synchron abgespeichert sind.
A Multimodal Dataset for Process Monitoring and Anomaly Detection in Industrial CNC Milling
Optimized geometries of molecules and complexes, example of ORCA-input file, detailed experimental data and description of experimental setup.
Computational Ferrocene Electrode Cyclic Voltammetry DFT Marcus-Hush Theory N-formylpyrrolidine Shono Oxidation
The electrochemical Shono oxidation of N-formylpyrrolidin: Mechanistic insights from the computational ferrocene electrode model and cyclic voltammetry: SI (after rev)
Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part2
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 3)
Institut für Thermische Verfahrenstechnik
A commercial 20 Ah pouch cell (SPB58253172P2, Enertech International, Inc.), which consists of a NMC111-LMO cathode blend and a graphite anode[1] is characterized thermally. The cell opening is performed at a State of Charge (SoC) of 0 % in an inert environment in a glove box. After disassembly, the anode and cathode sheets were triple washed with DMC and left to dry. For the density and heat capacity measurements, the coatings of both anode and cathode sheets were scraped off. For the thermal diffusivity measurements 18 mm double coated coins were punched from the sheets. All probes were exposed to air only very shortly before inserting them into the measurement devices. The experimental analysis is performed according to Oehler et al.[2]. The density measurement is done with a Micro Ultrapyc 1200e Gas (Quantachrome Instruments) pycnometer in nitrogen gas. The heat capacity is measured in a Q2000 (TA Instruments) differential scanning calorimeter in a temperature range from -40 °C to 60 °C. The thermal diffusivity measurement of the double coated coins is performed in helium atmosphere in a LFA 467 Hyperflash (NETZSCH-Gerätebau GmbH) in a temperature range from -20 °C to 60 °C. To calculate the thermal conductivity of the coatings via a serial connection[3], additional knowledge of the layer thicknesses, porosities of the coatings and the thermal material properties of the current collectors are needed. The thicknesses of the coatings and current collectors are measured with a Micromar 40 EWR (Mahr GmbH). A Balance XPE206DR precision scale (Mettler Toledo) was used to measure the mass of the coating probes. The porosity of the coating was then determined gravimetrically. All measurements were conducted at least three times. Error propagation of the standard deviation was performed for the calculated values. The measurement of the density and heat capacities of the current collectors as well as pouch foil and separator were performed as previously described. The current collector materials are assumed to be copper and aluminum and the thermal conductivities at 0 °C are taken from literature[4]. [1] L. Cloos, J. Langer, M. Schiffler, A. Weber, Th. Wetzel, J. Electrochem. Soc. 2024, 171, 040538. [2] D. Oehler, P. Seegert, T. Wetzel, Energy Technol. 2021, 9, 2000574. [3] A. Loges, S. Herberger, D. Werner, T. Wetzel, Journal of Power Sources 2016, 325, 104–115. [4] P. Stephan, S. Kabelac, M. Kind, D. Mewes, K. Schaber, T. Wetzel, Eds. , VDI-Wärmeatlas: Fachlicher Träger VDI-Gesellschaft Verfahrenstechnik und Chemieingenieurwesen, Springer Berlin Heidelberg, Berlin, Heidelberg, 2019.
Temperature strongly influences the electrical and aging behavior of lithium-ion battery cells. Therefore, modeling of the thermal behavior of these cells is needed to depict the behavior adequately. Thermal models require the knowledge of the thermal material properties of the cell. Here, we present the thermal material properties of the components of a commercial NMC111-LMO / graphite lithium-ion battery cell. A gas pycnometer is used to measure the density and a differential scanning calorimeter to measure the heat capacity of the coatings. With knowledge of the properties of the double sided coated current collector and its thermal diffusivity measured with a laser flash apparatus, the thermal conductivity of the coatings can be calculated. The standard deviation with error propagation amounts to maximum of ≈ 8.5 %.
Thermal Material Properties of Commercial NMC111-LMO / Graphite Lithium-Ion Battery Cell
Federal Agency for Cartography and Geodesy (BKG), Wettzell, Germany
Karlsruhe Institute of Technology (KIT), Geophysical Institute
Federal Agency for Cartography and Geodesy (BKG), Leipzig, Germany
Black Forest Observatory (BFO), University of Karlsruhe (TH)
We present the software as now is available in a gitlab repository, documenting all changes applied to the original code. The software is complemented by data examples, which were distributed together with the original binary executable on CD-Rom.
Access to source code is essential in order to keep the program running on new computer platforms with recent compilers. Minor (and in a few cases major) modifications where applied by researchers to correct errors or support new features. This resulted in the unpleasant situation that different versions of the programs are circulated, where the relation to the original version is unclear (in particular with respect to source code modifications) and a clear statement is missing what holders of the source are allowed to do or not. Meanwhile (20 years after Eterna was first published) technical means are commonplace to publically distribute source code together with proper licensing and with each single modification being properly documented (such that the original author must not be blamed for mistakes introduced later).
In the belief that it would be in the intention of Hans-Georg Wenzel to support the continued use of Eterna in the tidal community, while allowing a clear distinction between current modifications and his original version and in the consent with his widow, Marion Wenzel, we publish the source code under terms of the GNU General Public License on a server of the Karlsruhe Institute of Technology (KIT) which is the successor of the University of Karlsruhe.
Eterna, the 'Earth tide data processing package', was created by the late Prof. Hans-Georg Wenzel at the Black Forest Observatory and the University of Karlsruhe in the 1990s. This collection of programs established one standard of tidal analysis and prediction in the Earth tide community. Originally distributed only in the form of executable binaries, source code started to be distributed in the community after Hans-Georg Wenzel passed away in 1999.
Eterna - Programs for tidal analysis and prediction
Processed micro-tomographic scan of the ant Fulakora elongata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
@Einbeinstand [SALTO]: Ziel ist die Erhebung der Standdauer im Einbeinstand. Das Kind soll mit geöffneten Augen im Einbeinstand so lange wie möglich stehen (max. 30 Sek). @Rolle vw [SALTO]: Ziel ist eine Rolle vorwärts (Purzelbaum) in den Stand zu machen. Als Testkriterium wird die Endposition der ununterbrochenen dynamischen Bewegung definiert. Kein Überrollen (0): Das Kind schafft keine annähernd geradlinige Rollbewegung (mindestens in die Rückenlage) und fällt seitlich um. Rollen in die Rückenlage (1): Das Kind schafft eine Rollbewegung (auch mit gestreckter Wirbelsäule) in die Rückenlage. Rollen in den Sitz - ohne Aufstützen der Hände (2) : Das Kind schafft eine Rollbewegung (auch mit gestreckter Wirbelsäule) in den Sitz. Rollen in den Stand (3): Das Kind schafft eine Rolle in den Stand ohne mit den Händen nachzugreifen. @Hüpfen [0-4], Laufen [0-4], Standweit [0-4], Fangen [0-3], Kicken [0-4] und Werfen [0-4] siehe TGMD 2 und 3 (Test of Gross Motor Development). @Balancieren vorwärts [Anzahl der Schritte] und Pendellauf [Zeit] siehe MoTB (Motorik Testbatterie, Krombholz 2010).
Research data and software for the publication: Skin friction reduction via suppression of large scales in turbulent Couette flows, Int. J. Heat Fluid Flow 108 (2024). For detailed instructions about this repository, please consult the README.html or README.md file.
Data for the publication: Skin friction reduction via suppression of large scales in turbulent Couette flows
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. Users of the IDL data language can use the programs which are delivered as an archive, too. For previous version see relations.
The data set comprises temperature data of the Earth's middle atmosphere region for the years 2002-2012 as derived from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
IMK/IAA MIPAS temperature retrieval version 8: nominal measurements: the data set [Updated version]
The dataset presents a comparative analysis of results obtained from three distinct cell configurations: a commercial full-cell, an experimental cell in a three-electrode setup, and symmetrical cells. Electrochemical impedance spectroscopy (EIS), distribution of relaxation times (DRT), and nonlinear frequency response analysis (NFRA) were conducted at four different states-of-charge: 100%, 80%, 50%, and 20%. The measurements were performed at 23°C using Zahner Zennium Electrochemical Workstation. The derivation of distribution of relaxation times (DRT) from EIS spectra was conducted using the software tool "All-Fit" in MATLAB, developed in-house (IAM-ET). NFRA data includes measurements of the second harmonic, Y2, and third harmonic, Y3, which provide valuable insights into the nonlinear response of the investigated system.
Research Data for the Publication "Full-, half-, and symmetrical cell analysis of lithium-ion battery using impedance and nonlinear frequency response"
Processed micro-tomographic scan of the ant Polyrhachis spinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Aim Due to the increasing spread of the coronavirus and the accompanying containment measures, physical activity opportunities for children were severely restricted. The present study focuses on changes in children?s physical fitness during this period. Methods We conducted an almost full census of 131 primary school children in the 2nd grade in Bad Dürkheim, assessing their physical fitness immediately before the school closures on 16 March 2020 and after the end of the summer holidays in Rhineland-Palatinate, Germany. The standardised German motor skills test with representative reference values was used. For evaluation, we used repeated measures analysis of variance. Results We found a significant increase in physical fitness and BMI for the total sample during the observation period. Only in the dimensions of speed and endurance did the children show less development than would have been expected for their age. The proportion of overweight children increased from 17.7 to 23.8%. Conclusion The results show that the frequently formulated fear that the Corona-related restrictions in spring/summer 2020 could have negative effects on children?s physical development is not completely justified. However, in the view of the authors, the developments in BMI and endurance diagnosed in the short observation period should definitely be understood as a warning signal in the case of further restricted physical activity offers due to school closures, suspended sport clubs.
Entwicklung der körperlichen Leistungsfähigkeit bei Kindern während der coronabedingten Einschränkungen im Frühjahr/Sommer 2020.
Processed micro-tomographic scan of the ant Camponotus vestitus strophiatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Students from KIT and Université Grenoble Alpes
Field seismic data (in su format) and the corresponding reports on it. 1. 'CloseMesh.su' is the data acquired on a fine-mesh acquisition geometry during different days. 2. 'LargeMesh.su' is the data acquired on a large-mesh acquisition geometry on a same day. 3. 'report_header_information.pdf' describes the header information of the su files. 4. 'Report_Rheinstetten KIT.pdf' is a report on the field measurement.
3D shallow-seismic data acquired at Rheinstetten
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2007 - 2016
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.938/2017 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2008 - 2017
Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology (KIT)
Reduction of climate model total ozone columns to monthly and zonal means for use in time series and ozone recovery studies.
O3as service: https://o3as.data.kit.edu/
CCMI-1 ozone data for O3as service (v1: zonal means and monthly means of total columns)
# Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 3) These are the experimental data for the third version (v3) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on [arXiv](https://arxiv.org/) in 2025. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 249 hours. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [b4083afcc4](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/b4083afcc41613912129e11b69580f11752ba060). The commit hash for the last run of the evaluation pipeline (`run_evaluation_arxiv.py`) is [7d027c2382](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/7d027c23820fce067cce8953fdfdac719722949b). We also tagged both commits (`run-2024-09-28-arXiv-v3` and `evaluation-2024-12-08-arXiv-v3`). The experimental data are stored in three folders, i.e., `datasets/`, `plots/`, and `results/`. Further, the console output of `run_evaluation_arxiv.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `plots/` These are the output files of the evaluation pipeline `run_evaluation_arxiv.py`. We include these plots in our paper. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of non-negative ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the corresponding dataset). Might also be an empty list, i.e., `[]`, if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1, 1]` + missing values): The training-set objective value of the feature set. Three feature-selection methods (*FCBF*, *MI*, *Model Importance*) have the range `[0, 1]`, while two methods (*mRMR*, *Greedy Wrapper*) have the range `[-1, 1]`. - `test_objective` (float in `[-1, 1]` + missing values): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. The interpretation of this value depends on the search method for alternatives and the feature-selection method. (1a) In solver-based search for alternatives in combination with white-box feature-selection methods, this value corresponds to one solver call. (1b) In solver-based search for alternatives in combination with wrapper feature selection, we record the total runtime of the *Greedy Wrapper* algorithm, which calls the solver and trains prediction models multiple times. (2) In heuristic search for alternatives (algorithms *Greedy Balancing* and *Greedy Replacement*), we record the total runtime of the heuristic search algorithms. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver-based or heuristic search method for alternatives. For *Greedy Wrapper*, this is only the status of the last solver call (last iteration) and refers to optimizing similarity to the previous best solution (under swap constraints) rather than optimizing feature-set quality. - 0 = (proven as) optimal; cannot occur for heuristic search methods - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible; cannot occur for heuristic search methods - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1, 1]` + missing values): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1, 1]` + missing values): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1, 1]` + missing values): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. Not evaluated in the current version of our paper, as the observed trends are similar to those with decision trees. - `random_forest_test_mcc` (float in `[-1, 1]` + missing values): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. Not evaluated in the current version of our paper, as the observed trends are similar to those with decision trees. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `[1, 10]`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for solver-based simultaneous search and *Greedy Balancing*, but always `10` for solver-based sequential search and *Greedy Replacement*. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for solver-based simultaneous search but always sum-aggregation for the remaining search methods (where the value of this parameter does not matter for the search but needs to be specified for compatibility reasons). - `search_name` (string, 4 different values): The name of the search method for alternatives (`search_greedy_balancing`, `search_greedy_replacement`, `search_sequentially`, or `search_simultaneously`). *Greedy Balancing* and *Greedy Replacement* are (solver-free) heuristics and are only combined with two feature-selection methods (*MI* and *Model Importance*). The other two values denote solver-based search here (though in the paper, we also categorize optimization problems as sequential/simultaneous, no matter how they are solved) and are combined with all five feature-selection methods. - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= *Model Gain* in the paper), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1, 1000]` + missing values): The number of iterations if *Greedy Wrapper* is used for feature selection, missing value (empty string) in the other cases. This column does not exist in result files that do not contain wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ```All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as lists (rather than plain strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
These are the experimental data for the third version (v3) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" This version of the paper was published on [arXiv](https://arxiv.org/) in 2025. You can find the paper [here](https://doi.org/10.48550/arXiv.2307.11607) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 3)
Processed micro-tomographic scan of the ant Gesomyrmex howardi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In this file are contained the raw data behind the publication with the title "Subsurface microstructural evolution during scratch testing on bcc iron" accepted for publication in the MDPI journal "metals"
Raw Data to the manuscript "Subsurface microstructural evolution during scratch testing on bcc iron"
This repository contains all data relevant for the PhD thesis "Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning" by Maximilian Dreisbach that has not been previously published elsewhere. This includes image data from experiments and the weights of neural networks trained for the spatio-temporal reconstruction of the gas-liquid interface on the basis of this measurement data. In particular glare-point shadowgraphy experiments involving droplet impingement on patterned substrates and the respective trained networks can be found in this repository.
Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning (research data)
6 Minuten Lauf- Werte bei 9 Jährigen Jungen.Pädagogische Arbeit (unveröffentlicht)
Improvements to the signal-to-noise ratio of magnetic resonance detection lead to a strong reduction in measurement time, yet as a sole optimization goal for resonator design, it would be an oversimplification of the problem at hand. Multiple constraints, for example for field homogeneity and sample shape, suggest the use of numerical optimization to obtain resonator designs that deliver the intended improvement. Here we consider the 2D Lenz lens to be a sufficiently broadband flux transforming interposer between the sample and a radiofrequency (RF) circuit and to be a flexible and easily manufacturable device family with which to mediate different design requirements.We report on a method to apply topology optimization to determine the optimal layout of a Lenz lens and demonstrate realizations for both low- (45 MHz) and high-frequency (500 MHz) nuclear magnetic resonance.
Data sets used for plotting graphs in the figures and AutoCAD files for the designs of "Topologically optimized magnetic lens for magnetic resonance applications"
Topologically optimized magnetic lens for magnetic resonance applications
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Ludwig Maximilians University Munich (LMU), Department of Geography
LandscapeDNDC is a simulation framework for terrestrial ecosystem simulation on site, regional and global scale (Haas et al. 2013). LandscapeDNDC emerged from the MoBiLE framework (Grote et al. 2009b), which originated from the 1-D process-oriented Arable-DNDC and Forest-DNDC models (Li et al. 1992a, b, 1994, 2000; Stange et al. 2000). The modular design of LandscapeDNDC allows plugging in any process descriptions for simulating microclimate, water-, carbon- and nitrogen balances, as well as plant growth and yield of natural, semi-natural and agricultural ecosystems. Thus, also enabling consistent representation of land-use change by using different vegetation modules together with the same soil module. One important technical feature of LandscapeDNDC is its capability to run over many sites (i.e. simulating many grid cells) with a single program invocation. If running in such a mode, all cells are time-synchronized, which is highly significant for model coupling (Haas et al. 2013; Klatt et al. 2017). LandscapeDNDC is parallelized using MPI allowing the deployment on High Performance Computer (HPC) environments.
LandscapeDNDC, Biogeochemistry, Ecosystems, Modeling
(Abstract) Numerical data for Figs. 1-4 of the paper "BCS to incoherent superconductivity crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice", by D. Valentinis et al. [DOI: 10.1103/PhysRevB.108.L140501], see readme.txt inside the main data folder
BCS to incoherent superconductivity crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice - DATA
Processed micro-tomographic scan of the ant Tetramorium kraepelini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2006 - 2015
This dataset contains backward trajectories analyzed in the study "A Lagrangian perspective on stable water isotopes during the West African Monsoon" (Diekmann et al., 2021). The trajectories are based on a COSMOiso simulation provided by Andries J. de Vries (ETH Zurich) and were computed with the tool LAGRANTO (Sprenger and Wernli, 2015).
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Data for "A Lagrangian perspective on stable water isotopes during the West African Monsoon"
Processed micro-tomographic scan of the ant Technomyrmex horni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Organic phantom: olive embedded in turkey steak and gelatin. 2: Empty measurement with the same parameters as the organic phantom.
In order to utilize the data, we provide a MATLAB interface. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3DUSCT-data-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the GitHub issue tracker. Further information on the experimental setup (sytem description) are available on the webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
Institut für Nukleare Entsorgung (INE), Karlsruher Institut für Technologie (KIT)
Institut für Photonenforschung und Synchrotronstrahlung (IPS), Karlsruher Institut für Technologie (KIT)
Universität Heidelberg (Universität Heidelberg)
The actinides possess a complex electronic structure, making their chemical and physical properties among the least understood in the periodic table. Advanced spectroscopic tools, able to obtain deep insights into the electronic structure and binding properties of the actinides, are highly desirable. Here, we introduce two sensitive spectroscopic tools: one determines the number of localized 5f electrons on an actinide atom, and another assesses the covalent character of actinide-ligand bonding. Both tools are based on the multiplet structure present in actinide M4 edge core-to-core resonant inelastic X-ray scattering (CC-RIXS) maps. The spectral intensity of different many-body final-state multiplets directly depends on the local many-electron ground-state symmetry including the local 5f spin configuration. By comparing U M4 edge CC-RIXS data for 21 U, Np, Pu and Am compounds, we demonstrate the ability to compare the number of localized 5f electrons and bond covalency across the actinide series.
This is the research data to publication "Resonant inelastic X-ray scattering tools to count 5f electrons of actinides and probe bond covalency" in Nature Communications 2024
Research Data to publication "Resonant inelastic X-ray scattering tools to count 5f electrons of actinides and probe bond covalency"
Processed micro-tomographic scan of the ant Colobopsis shohki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0024, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0024 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Apterostigma megacephala, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Syscia augustae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes placidus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dieser Datensatz ist eine RO Crate Kollektion (ZIP-File) der Rohdaten aus tribologischen Experimenten einer LDS Spritzschicht in Kontakt mit 6 unterschiedlichen diamantartigen Kohlenstoffschichten (DLC). Die Messungen wurden als Funktion der Gleitgeschwindigkeit und der Normalkraft durchgeführt.
LDS vs DLC Tribology Demo Experiments raw data
Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)
The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python. To use this code, deal.II (release 9.5.0) has to be installed, cf. https://www.dealii.org/9.5.0 Read the "Readme.md"- files and follow the instructions to build and run the program.
This code was used for the numerical experiments in the preprint "Error analysis of an implicit-explicit time discretization scheme for semilinear wave equations with application to multiscale problems" by D. Eckhardt and M. Hochbruck and B. Verfürth (cf. Section 5.3)
Error analysis of an implicit-explicit time discretization scheme for semilinear wave equations with application to multiscale problems
Processed micro-tomographic scan of the ant Nylanderia parvula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)
Landesanstalt für Umwelt Messung und Naturschutz Baden-Württemberg
General note: The fauna sampling on which the dataset is based on was carried out by IGÖ (GmbH) as part of the long-term ecological monitoring commissioned by the LANDESANSTALT FÜR UMWELT, MESSUNGEN UND NATURSCHUTZ BADEN-WÜRTTEMBERG (LUBW). The sampling in 2001 and 2002 was carried out as part of the doctoral thesis of Dr. Andreas Fuch: Erhebung und Beschreibung der Grundwasserfauna in Baden-Württemberg, 2007, pp.1-109, URL: https://kola.opus.hbz-nrw.de/frontdoor/index/index/docId/175. The data on groundwater quality originates from the LUBW 4.0 data and map service, more precisely from the annual groundwater quality data catalogue (Link: https://umweltdaten.lubw.baden-wuerttemberg.de/workbooks/ElW90OFKM4Yp6SuaXMUC,hash=gqGNSioRDeBveDwfKlVLq7MkNdbkpGvI9WWuqz3AZz2zwkyofMtJQeByuHQ=/worksheets/EcsMAJuFpqt01exTJsUl
This data set contains results of the physical-chemical, faunistic and statistical analysis of the study "Temporal shift of groundwater fauna in South-West Germany" by Fabien Koch, Philipp Blum, Heide Stein, Andreas Fuchs, Hans Jürgen Hahn, Kathrin Menberg in the journal "Hydrology and Earth System Sciences" (HESS) (https://doi.org/10.5194/hess-2024-29).
Dieser Datensatz enthält Ergebnisse physikalisch-chemischer, faunistischer and statistischer Analysen der Studie "Temporal shift of groundwater fauna in South-West Germany" von Fabien Koch, Philipp Blum, Heide Stein, Andreas Fuchs, Hans Jürgen Hahn, Kathrin Menberg in der Zeitschrift "Hydrology and Earth System Sciences" (HESS) (https://doi.org/10.5194/hess-2024-29).
Results of the physical-chemical, faunistic and statistical analysis of groundwater wells in South-West Germany
National Food Chain Safety Office, Hungary
Synchrotron X-ray microtomographic data of heads of Nasonia wasps analyzed in Hoag et al. 2025. The original tomograms were aligned, cropped and converted to 8 bit.
Institut für Mechanische Verfahrenstechnik und Mechanik
## General Information 1. SiO2: Material: Quartz, Manufacturer: Quarzwerke GmbH, Product Name: SF800 2. ZnO: Material: ZnO, Manufacturer: Quarzwerke GmbH, Product Name: Silatherm 2. SiO2-MAG: Material: SiO2 / Fe3O4 composite, Manufacturer: Microparticles GmbH, Product Name: SiO2-MAG-AR1062 ## Particle Size Distribution For SiO2-MAG the distribution was measured with an analytical disc centrifuge (CPS Instruments), while ZnO and SiO2 were measured by laser diffraction (Helos, Sympatec). ## Zeta Potential All zeta potentials were measured at constant ionic strength I = 0.1M and constant volumetric particle concentration cv = 3.75e−3 vol-%. ## Magnetic Seeded Filtration Experiments Two individual studies (A and B) were performed. A mono-disperse silica-magnetite composite (SiO2-MAG) was used as magnetic seed material, while the non-magnetic particle system was varied between a poly-disperse SiO2 and poly-disperse ZnO powder. Stock suspensions of the dry particle systems were prepared by sonification with the Digital Sonifier 450 fromBranson Ultrasonics Co. (conditioning). A sample of the stock suspension *P_0* was taken and its actual concentration determined, taking deviations in preparation into account. Subsequently, the respective volumes of the stock suspensions to achieve the desired volume concentrations c_v were transferred into a snap-on lid vial. The suspension parameters ionic strength I and pH were adjusted by addition of 2M NaCl solution and 0.5M HCl or NaOH solution respectively. Finally, the experimental volume was filled to V=3mL with ultrapure water. The suspension was agitated for the agglomeration time t_A in the laboratory shaker Vortex Genius 3 from IKA GmbH. After agglomeration, a ferromagnetic separation matrix was immersed in the suspension and the vial was positioned next to a permanent magnet. Magnetic separation was performed for t_S=2min. A representative sample *P_E* was taken from the non-separated suspension and sonified again in order achieve comparable levels of dispersity. Samples *P_0* and *P_E* were analyzed via UV-VIS spectroscopy and the volume concentrations were determined through previously performed, substance- and system-specific calibrations. Separation success is quantified via the separation efficiency of the non-magnetic component defined as A_NM = 1 - (c_v,NM,E / c_v,NM,0). All experiments were measured in triplicate and the resulting standard deviation of the separation efficiency is also supplied. ## Note For more information on magnetic seeded filtration refer to publications by Rhein et al.
The data set contains experimental data on the zeta potential and particle size distribution of SiO$_2$, ZnO and magnetic SiO$_2$-MAG particles. Additionally, experimental data on separation efficiency of magnetic seeded filtration experiments with varying ionic strength and pH is supplied.
Zeta Potential, Particle Size Distribution and Separation Efficiency Data of SiO2 and ZnO Particles during Magnetic Seeded Filtration Experiments with SiO2-MAG
Processed micro-tomographic scan of the ant Formica cunicularia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from ExINP_GVB campaign taking place from 2023-03-15 - 2023-04-10 at Gruvebadet Atmosphere Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software v2.0.2 (https://doi.org/10.5281/zenodo.15592786).
Institut für Nanotechnologie, Helmholtz-Institut Ulm, Karlsruhe Nano Micro Facility, Center for Electrochemical Energy Storage Ulm & Karlsruhe
High entropy oxides (HEOs) with chemically disordered multi-cation structure attract intensive interest as negative electrode materials for battery applications. The outstanding electrochemical performance is attributed to the high-entropy stabilization and so-called ‘cocktail effect’. However, the configurational entropy is insufficient to drive the structural reversibility of the room-temperature thermodynamically metastable HEO during conversion-type battery reaction, and the ‘cocktail effect’ has not been explained thus far. This work unveils the multi-cations synergy of the HEO Mg0.2Co0.2Ni0.2Cu0.2Zn0.2O at atomic and nanoscale during electrochemical reaction and explains the ‘cocktail effect’. The more electronegative elements form an electrochemically inert 3-dimensional metallic nano-network enabling electron transport. The electrochemical inactive cation stabilizes an oxide nanophase, which is semi-coherent with the metallic phase and accommodates Li+ ions. This self-assembled nanostructure enables stable cycling of micron-sized particles, which bypasses the need for nanoscale pre-modification required for conventional metal oxides in battery applications. This demonstrates elemental diversity is the key for optimizing multi-cation electrode materials.
Information about the data format and software suitable to open the data is available in the subdirectory 'description'
Synergy of cations in high entropy oxide lithium ion battery anode
Processed micro-tomographic scan of the ant Protalaridris armata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data related tp publication https://doi.org/10.1103/PhysRevB.104.024511
Inhomogeneous time-reversal symmetry breaking in Sr2RuO4 - Data
Processed micro-tomographic scan of the ant Brachyponera luteipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
This DOI contains pulse shapes (Bruker format), pulse shapes (Topspin), NMR data (JCAMP-DX and Bruker format), and simulation code (Julia - programming language) as used in the corresponding publication.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0009, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0009 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Azteca cf chartifex, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara zengchengensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0012, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0012 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Strumigenys sp silvestri group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.2
Processed micro-tomographic scan of the ant Linepithema humile, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Ichneumonidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Nanoparticles Monte Carlo DFT Simulated annealing Catalysis
Modeling the Shape and Stability of Co Nanoparticles as a Function of Size and Support Interactions through DFT Calculations and Monte Carlo Simulations: SI
Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.4.0
Processed micro-tomographic scan of the ant Camponotus singularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The simulations were performed with the atmospheric component of the ICON model. The model is run with the physics package used for numerical weather prediction (version 2.1.00). The simulations are performed in R2B04 horizontal resolution (approximately 160km) with 47 levels extending up to 75km. A time step of 720s is used. We use a present-day setup and the cloud-locking method to determine the impact of regional cloud-radiative changes in the tropics, midlatitudes and polar region. This data has to be used together with 10.5445/IR/1000094317 (ICON model simulations for publication "Cloud-radiative impact on the regional responses of the midlatitude jet streams and storm tracks to global warming") to determine both the role of global and regional cloud-radiative changes. The numbers after T (sea-surface temperature) and C (cloud-radiative properties) in the cloud-locked simulations are - 1 for the control simulation - 2 for the simulation with a uniform SST increase. For the regional cloud-radiative changes, the number after C refers to the cloud-radiative properties in region reg - TR for tropics (30S-30N) - ML for midlatitudes (30N-60N, 30S-60S) - PO for polar regions (60N-90N, 60S-90S) T1C2TR means, for example, that we use C2 clouds in the tropics and C1 clouds in the midlatitudes and polar regions. # 4d (time-lev-lat-lon) data - ICON-NWP_AMIP_T?C?reg_3d_mm.nc The files contain monthly-mean data for 29 years. # storm track (lat-lon) data - st_ICON-NWP_AMIP_T?C?reg_geopot500.nc: time-mean storm track (mean over all years) - st_T?C?reg_1980to2008.nc: time series of annual-mean storm track data - st_ICON-NWP_AMIP_T?C?reg_geopot500_DJF.nc: time-mean storm track for DJF season (mean over all years) - st_T?C?reg_1980to2008_DJF.nc: time series of DJF storm track data -> analogously for MAM, JJA, SON # transient and stationary components of eddy momentum flux and eddy heat flux, (time-lev-lat-lon) data ICON-NWP_AMIP_T?C?_vT_uv_stationary_transient_mm.nc (global cloud changes) ICON-NWP_AMIP_T?C?reg_vT_uv_stationary_transient_mm.nc (regional cloud changes) Variables: - vTtrans: eddy heat flux, transient component - uvtrans: eddy momentum flux, transient component - vTstat: eddy heat flux, stationary component - uvstat: eddy momentum flux, stationary component The files contain monthly-mean data for 29 years.
ICON model simulations for publication "The role of tropical, midlatitude and polar cloud-radiative changes for the midlatitude circulation response to global warming"
Simulation results tagged f05864 (see appendix A) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
Research data corresponding to the publication "Two-step absorption instead of two-photon absorption in 3D nanoprinting".
Two-step absorption instead of two-photon absorption in 3D nanoprinting
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V5 (videos)
Flow field in drying poly(vinyl acetate) methanol film partially covered and subject to Marangoni convection
Processed micro-tomographic scan of the ant Tetramorium immigrans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Blepharidatta conops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Codebook and Dataset for Study: "Effect of emotionalizing sounds on the estimation and evaluation of displayed safety distances"
Codebook and Dataset of Paper "Effect of emotionalizing sounds on the estimation and evaluation of displayed safety distances"
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** Measurements were collected during the CROSSINN field campaign in the Inn Valley, Austria. The focus of the campaign was located at a mild valley curvature approximately 20 km northeast of Innsbruck. To optimize deployment requirements (power, permits, etc.) as well as to reduce demand for additional KITcube flux towers, all instruments were deployed as close as possible to three pre-existing i-Box flux towers (CS-VF0, CS-SF1, CS-NF27). ### **2. Temporal coverage** 01.08.2019 - 13.10.2019 ### **3. Instrument details and data file structure** Available here are archived directories, corresponding to a particular device (WLS200s-115, WLS200s-124, WLS200s-125), including the coplanar-retrieved (i.e. dual-Doppler) output and additional four text files. ***WLS200s_xyz_YYYY-MM-DD.zip*** daily .zip files contain raw measurements collected with three WLS200s Windcube Doppler lidars, IDs xyz=115, 124, 125 (Leosphere). All three Windcubes used Windforge v3.1.1 for data acquisition. The raw measurements are organized into daily .zip files, each containing folder 'wind_and_aerosol_data' with separate .nc.gz files for each 1-min direct and indirect RHI scans in hourly folders, along with other support data in folders 'environmental data', 'scan type', 'resolutions', and 'settings'. ***WLS200s_coplanar_retrieval_YYYYMMDD.zip*** daily .zip files contain the coplanar-retrieved wind field organized into hourly NetCDF files. The retrieval algorithm by Haid (2019) was used to obtain the wind field. ***WLS200s_miscellaneous.zip*** file contains text files of the type 'WLS200s-xyz_scans_with_faulty_acquisition.txt'. These files contain time stamps (in UTC) of RHI scans affected by an occasionally faulty acquisition, resulting in two adjacent time stamps having recorded a same elevation angle. This typically affected pcolor/contour plotting routines. The issue was most common with WLS200s-125. On the other hand, the text file 'ceilometer_precipitation_flag.txt' contains the time stamps (in UTC) marked as experiencing either precipitation or sufficiently deep cloud cover. Specifically, if a given 1-min vertical profile of uncalibrated CHM15k backscatter up to 4 km above ground level, was characterized by more than 20% of backscatter coefficients exceeding 55 dB, it was deemed as ”precipitating”. Valid only for Kolsass. ### **4. Locations** With the exception of the WLS200s-115 (@ Hochhaeuser) and WLS200s-125 (@ Mairbach) Windcube Doppler lidars, all other KITcube instruments were deployed at Kolsass, the headquarter site for the field campaign. All sondes were also launched and tracked from Kolsass. Kolsass - 47.305290°N / 11.622231°E Hochhaeuser - 47.286182°N / 11.631232°E Mairbach - 47.326664°N / 11.608736°E ### **5. Contact** Contact nevio.babic@kit.edu for any questions regarding the data sets. ### **6. References** Haid, M., 2019: marenha/doppler_wind_lidar_toolbox: First release (v1.0.0). Zenodo, doi:10.5281/zenodo.3583083
The data sets found here were collected with the KITcube measurement platform in the Inn Valley, Austria, from 1 Aug 2019 to 13 Oct 2019, within the CROSSINN field campaign (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements). The goal of the campaign was to study the multi-scale three-dimensional flow structure and the impact of the flow on the mountain atmospheric boundary layer (MoBL) structure and evolution across the Inn Valley. Further details of the campaign can be found in Adler et al (2020). Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
Die hier zu findenden Datensätze wurden mit der KITcube-Messplattform im Inntal, Österreich, vom 1.8.2019 bis 13.10.2019, im Rahmen der CROSSINN-Feldkampagne (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) erhoben. Das Ziel der Kampagne war es, die multiskalige dreidimensionale Strömungsstruktur und den Einfluss der Strömung auf die Struktur und Entwicklung der atmosphärischen Grenzschicht (MoBL) über dem Inntal zu untersuchen. Weitere Details der Kampagne sind in Adler et al. (2020) zu finden. Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
infrared radiometer brightness temperature
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - KITcube data sets [WLS200s]
This is a re-gridded Level-3 dataset of the MUSICA IASI water isotopologue pair product. It is based on the Level-2 datasets from the MUSICA IASI full retrieval (https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, δD} pairs (https://dx.doi.org/10.35097/415), which use the thermal nadir radiances measured by the IASI instrument aboard the Metop satellites. This Level-3 dataset consists of quality-filtered {H2O, δD} pair data re-gridded on a regular 1°x1° grid and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and 6.4 km above sea level. It provides H2O and δD (including their errors) as well as information about the atmospheric temperature and pressure and some metrics documenting the representativeness of the horizontally re-gridded data. The Level-3 data are provided globally and twice daily (morning and evening overpass times) and currently comprise the full period between October 2014 and December 2020 (leading to a data volume of about 22GB). Depending on available resources, this dataset will be updated to current measurements (for data availability updates please refer to the MUSICA IASI data web page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). Details on this dataset are summarized in the file "ReadMe.pdf".
Regular 1°x1° re-gridded MUSICA IASI water isotopologue pair dataset (a posteriori processing version 2)
Processed micro-tomographic scan of the ant Camponotus sericeiventris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus modoc, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachymyrmex donisthorpei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster rogenhoferi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia ryukyuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus mitis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma sakaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
An infinite cylinder containing a fluid in solid body rotation (SBR) is impulsively stopped. The decay and self-organisation of the initial SBR due to the forming boundary layer and multiple transitions is addressed by means of direct numerical simulations for a wide range of Reynolds numbers. The flow undergoes five distinct flow stages during its decay, which are characterised by means of statistical evaluation. This database features statistics of four different spin-down simulations at different $Re$.
------------------------------------------------------------------------------------------------------------------------ Statistics on spin down for different Re ------------------------------------------------------------------------------------------------------------------------ this database features: * statistics of four different spin-down simulations at different Re=\Omega R^2/\nu; * global volume-averaged data for turbulent kinetic engery (k), mean kinetic energy (K) and their budget equations; * temporal evolution of 1D quantities such as wall-shear stress, boundary-layer thickness; * temporal evolution of spatially (over z and \phi) averaged bulk data such as mean velocity, Reynolds-stresses etc.; * terms of the k and K budget equations as function of t and r. ------------------------------------------------------------------------------------------------------------------------ Acknowledgment: The financial support by the German Research Foundation (DFG) under Priority Programme SPP-1881 is greatly acknowledged. ------------------------------------------------------------------------------------------------------------------------ References: F. Kaiser, B. Frohnapfel, R. Ostilla-Monico, J. Kriegseis, D. E. Rival and D. Gatti (2019) "Flow stages during vortex decay in an impulsively stopped rotating cylinder", Journal of Fluid Mechanics, (to be submitted) ------------------------------------------------------------------------------------------------------------------------ Content: folders for different Re: Re3000, Re6000, Re12000, Re28000 each folder contains: tot.dat --> 1D data such as wall-velocity, boundary-layer thickness, volume average K, volume average k etc. t.dat --> time steps (spacing dt increases during late stages of decay) r.dat --> radial positions of the grid bulk --> folder: contains dat files for non-zero bulk quantities as functions of r and t. mean velocity, mean vorticity, velocity in wall units, Reynolds stresses mke --> folder: contains terms of the K budget equation as functions of r and t: K, production, dissipation, turbulent transport, viscous transport tke --> folder: contains terms of the TKE budget equation as functions of r and t: k, production, dissipation, turbulent transport, viscous transport, pressure diffusion Refer to the readme files in each subdirectory for further information on each database. ------------------------------------------------------------------------------------------------------------------------ Changelog: May-08-2019: database uploaded ------------------------------------------------------------------------------------------------------------------------ frieder.kaiser@kit.edu davide.gatti@kit.edu bettina.frohnapfel@kit.edu
Dataset to "Flow stages during vortex decay in an impulsively stopped rotating cylinder"
Processed micro-tomographic scan of the ant Strumigenys emmae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus quadridenticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys alberti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set presented here consists of a case study in the framework of the DFG-project ICECREAM (Analysis of high-latitude cirrus cloud feedbacks on the trace gas composition of the UTLS), and comprises observations of the trace gases water vapour (H2O), ozone (O3), nitric acid (HNO3) and clouds in the upper troposphere/lowermost stratosphere (UT/LMS) by the infrared remote sensing instrument GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere), and the corresponding model data of dedicated simulations with the numerical weather prediction (NWP)-model ICON (ICOsahedral Nonhydrostatic) with the extension ART (Aerosols and Reactive Trace gases), and the chemistry-climate model (CCM) EMAC (ECHAM5/MESSy Atmospheric Chemistry). The data cover one research flight during the Arctic winter 2015/2016, when GLORIA was deployed on-board the German Research aircraft HALO (High Altitude and LOng range research aircraft) during the POLSTRACC (POLar STRAtosphere in a Changing Climate), GW-LCYCLE (Gravity Wave Life Cycle Experiment) II and SALSA (Seasonality of Air mass transport and origin in the Lowermost Stratosphere using the HALO Aircraft) (PGS) field campaign. This joint campaign probed the Arctic UT/LMS during different stages of the winter 2015/2016. The analysed research flight here, PGS 14, on 26 February 2016, covered deeply subsided air masses of the aged Arctic vortex, high-latitude LMS air masses, a highly textured troposphere-to-stratosphere exchange region, and high-altitude cirrus clouds. Therefore, it provides the opportunity to test state-of-the-art atmospheric model simulations in a complex UT/LMS region at a late stage of the Arctic winter 2015/2016. Details on the data are provided in the file “ReadMe.pdf”.
GLORIA, POLSTRACC, HALO, ICECREAM, remote sensing, upper troposphere, lowermost stratosphere, trace gases, cirrus clouds, atmospheric composition, ICON-ART, EMAC, high latitudes, water vapour, H2O, ozone, O3, nitric acid, HNO3
Processed micro-tomographic scan of the ant Ectomomyrmex leeuwenhoeki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Direct numerical simulation (DNSs) are used to systematically investigate applicability of minimal channel approach for characterization of roughness-induced drag in irregular rough surfaces. Roughness is generated mathematically using a random algorithm, in which the power spectrum (PS) and probability density function (PDF) of surface height function can be prescribed. 12 different combinations of PS and PDF are examined and both transitionally and fully rough regimes are investigated (roughness heights varies in the range $k^+$ = 25 -- 100). It is demonstrated that both roughness function ($\Delta U^+$) and zero-plane displacement can be predicted within $\pm5\%$ accuracy using DNS in properly sized minimal channels. Notably, the predictions do not deteriorate when a limited range of large horizontal roughness scales are filtered out due to the small channel size (here up to 10\% of original roughness height spectral energy based on 2D PS). Additionally, examining the results obtained from different random realizations of roughness shows that a certain combination of PDF and PS leads to a nearly unique $\Delta U^+$ for deterministically different surface topographies. In addition to the global flow properties, the distribution of time-averaged surface force exerted by the roughness onto the fluid is calculated and compared for different cases. It is shown that patterns of surface force distribution over irregular rough surfaces can be well captured when the sheltering effect is taken into account. This is made possible applying the sheltering model proposed by Yang et al. to each specific roughness topography. Furthermore, an analysis of the coherence function between roughness height and surface force distributions reveals that the coherence drops at larger streamwise wavelengths, which can be an indication that very large horizontal scales are less dominant in contributing to the skin friction drag. Finally, some existing roughness correlations are assessed using the present roughness dataset, and it is shown that the correlation predictions for the values of equivalent sand-grain roughness mainly lie within $\pm30\%$ error in comparison to the DNS results.
These files contain the data used in the publication: “DNS-based characterization of pseudo-random roughness in minimal channels” J. Yang, A. Stroh, D. Chung and P. Forooghi published in Journal of Fluid Mechanics doi:10.1017/jfm.2022.331 Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip boundary conditions at the upper and lower domain wall. The flow is driven by a prescribed constant pressure gradient (CPG). The friction Reynolds number for the present case is fixed to Re_τ = 500. The structured surface is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. Data Files: The data files are saved and labeled in *.mat files. Each file contains MATLAB data consisting of the roughness height distribution and corresponding coordinates. The roughness structures are non-dimensionalized with the channel half height δ. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Jiasheng Yang (jiasheng.yang@kit.edu)
Dataset for DNS-based characterization of pseudo-random roughness in minimal channels
Different data bases with the simulation results. For the single supply chain location there exist the following data bases: - State1.db contains the result for the original data set - State1_Baseline.db contains the results for the amplified data sets and the baseline model - State1_Adaptive.db contains the results for the amplified data sets and the adaptive model - State2.db contains the results for the original and amplified data sets and the adaptive+cost model - SQ.db contains the results for the original and amplified data sets and the (s, q) policy For the supply chain with three nodes there exist the following data bases: - SC3N_Central.db contains the result for the original and amplified data set of the central model - SC3N_Decentral.db contains the result for the original and amplified data set of the decentral model
Results for the Different Parameter Tests of the Developed RL Agents in the Dissertation
Processed micro-tomographic scan of the ant Typhlomyrmex major, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The research data referenced in Section 7.3.2 refers to file 'ResearchData_OptimizationModels' presenting the results of the overall optimization model and the iterative segmented optimization model within the corresponding sheets. The research data referenced in Section 8.2.2 refers to file 'ResearchData_BatchCharacteristics'. The results are structured according to the investigated parameters batch size, sequencing rate and arrival sequence, each within the corresponding sheet. The research data referenced in Section 8.3.1.2 refers to file 'ResearchData_Network' - sheet 'In-Outflow Capacity'. The research data referenced in Section 8.3.2.2 refers to file 'ResearchData_Network' - sheet 'Sequencing Capacity'.
Research data to "Multi-Batch Sequencing with Decentralized Control using Highest-Density Conveyor Networks"
The metadata file "msei_final" contains the following metadata per dataset: sample_id, molfile, ontology term, analysis_id, instruments, authors, content, molfile_id
The dataset was gained as a subset of information from Chemotion repository after (1) filtering for mass spectrometry data with a precision of 0.001 Da, and (2) removal of duplicates
The collection was gained from contributions of the following scientists: Alexander B. Braun, André Jung, Angela Wandler, Arnaud Westeel, Chloé Liagre, Christoph Zippel, Cornelia Mattern, Daniel Knoll, Danny Wagner, Eduard Spuling, Florian Mohr, Georg Manolikakes, Hannes Kühner, Harald Kelm, Helena Šimek, Ilga Kristine Krimmelbein, Irina Protasova, Isabelle Wessely, Jana Barylko, Janina Beck, Jasmin Busch, Jérôme Klein, Jérôme Wagner, Julian Brückel, Ksenia Kutonova, Laura Holzhauer, Lisa Schmidt, Lukas Langer, Lutz-F. Tietze, Martin Nieger, Mirja Dinkel, Miro Hałaczkiewicz, Nicolai Rosenbaum, Nicolai Wippert, Nicole Jung, Niklas Krappel, Olaf Fuhr, Patrick Hodapp, Simon Oßwald, Simone Gräßle, Stefan Bräse, Susanne Moser, Sylvain Grosjean, Sylvia Vanderheiden-Schroen, Thomas Hurrle, Victor Larignon, Vikas Aggarwal, Yannick Matt, Yichuan Wang, Zhen Zhang
This collection contains mass spectrometry data that were collected in the research data repository Chemotion from 2019-2023. The scientists who contributed to this collection are given as additional information (-> Other) to this dataset. The dataset was collected to enable the systematic re-use of the mass spectrometry data in Chemotion repository.
The provided zip folder includes 599 datasets including at least one *.jdx file each and one metadata file "msei_final" with metadata describing the 599 datasets
Ministry of Science, Research and Arts Baden-Württemberg
Chemotion Repository - Data collection: mass spectrometry data
Processed micro-tomographic scan of the ant Veromessor smithi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Blepharidatta brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
ESACCI ozone data for O3as service (v1: zonal means and monthly means of total columns)
Processed micro-tomographic scan of the ant Ocymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology
Model results of nitric oxide (NO) and temperature (T) from the four chemistry-climate models WACCM, HAMMONIA, EMAC, and KASIMA within the Heppa III intercomparison experiment on electron precipitation impacts, derived as part of activities of the SPARC Solaris-Heppa working group 5 (https://solarisheppa.geomar.de/workinggroups). Model runs are carried out for the period March 16 to April 25, 2010, and model data are gridded onto the footprints (latitude, longitude, UT time of day) of the three satellite instruments SCIAMACHY/ENVISAT, MIPAS/ENVISAT and SOFIE/AIM. Model experiments are carried out using different ionization rate data sets: AIMOS, APEEP, and OULU, as well as a number of sensitivity experiments based on AIMOS data: without auroral electron precipitation (AIMOS_sens1), without medium energy electron precipitation (AIMOS_sens2), without photoionization (AIMOS_sens3), without photoionization and proton ionization (AIMOS_sens4), without upper boundary condition (AIMOS_sens5), without upper boundary condition and proton ionization (AIMOS_sens6). More information, e.g. about naming conventions, is given in description_of_datasets.pdf.
Atmosphere, Space Physics, Solar-Terrestrial Physics
Chemistry-climate model results of nitric oxide for the HeppaIII intercomparison experiment on electron precipitation impacts
Processed micro-tomographic scan of the ant Pachycondyla striata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data containing friction data, profilometry and transmission electron microscopy data
Raw data to manuscript by Rau et al.: "Three regimes in the tribo-oxidation of high purity copper at temperatures of up to 150°C"
Enguri- Video Logging in Boreholes Around Enguri High Dam in Georgia: 2023
openCARP is an open cardiac simulator for in-silico experiments
Research Institute of Meteorology and Water Resources (FUNCEME)
das Chagas Vasconcelos Júnior, Francisco
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Department Troposphere Research (IMK-TRO)
In semi-arid regions, interannual variability of seasonal rainfall and climate change is expected to stress water availability and increase the recurrence and intensity of extreme events such as droughts or floods. Local decision makers therefore need reliable long-term hydro-meteorological forecasts to support the seasonal management of water resources, reservoir operations and agriculture. In this context, an Ensemble Kalman Filter (EnKF) framework is applied to predict sub-basin-scale runoff employing global freely available datasets of reanalysis precipitation (ERA5-Land) as well as Bias-Corrected and Spatially Disaggregated seasonal forecasts (SEAS5-BCSD). Runoff is estimated using least squares predictions, exploiting the covariance structures between runoff and precipitation. This repository contains the runoff observations, the final EnKF-based runoff predictions, reference precipitation from ERA5-Land, bias-corrected and spatially disaggregated seasonal precipitation forecats from SEAS5-BCSD as well as shapefiles delineating the sub-basin-boundaries within the Rio São Francisco River Basin.
Ensemble Kalman-Filter-based seasonal runoff predictions for the Rio São Francisco River Basin
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, BrONO2, ClONO2) in the Upper Troposphere and Stratosphere from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere Balloon version (GLORIA-B) during the HEMERA campaign with base in Esrange/Kiruna, Sweden, on board of a high altitude stratospheric research balloon (operated by CNES) 2021.
We highly recommend to contact the GLORIA team at KIT or Jülich before using the data for scientific studies.
GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany
Disy Informationssysteme GmbH, Karlsruhe, Germany
This is the dataset collected by the SmartAQnet project. The dataset was collected in the model region of Augsburg, Germany between 2017 and 2020 and contains 248,572,003 observations recorded by over 180 individual devices, including ceilometers, Radio Acoustic Sounding System (RASS), mid- and low-cost stationary measuring equipment using meteorological sensors and particle counters, and low-weight portable measuring equipment mounted on different platforms such as trolley, bike, and UAV. Detailed description of the dataset could be found in the dataset discription paper "SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors" (DOI: 10.14644/dust2021.001).
German Federal Ministry of Transport and Digital Infrastructure
Air Quality, Aerosol, Particulate Matter, Open Data
TECO, Karlsruhe Institute of Technology (KIT)
Processed micro-tomographic scan of the ant Lepisiota nigra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta sexdens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oxyopomyrmex saulcyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole pallidula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Short summary: Heuristics and analysis techniques exist to overcome the non-transparency, but their selection and adaption for particular cases is often difficult and not supported methodically. Classes of errors occurring in system observation are operationalised into requirements for analysis techniques to develop the Selection Matrix. This is evaluated on a wood screw connection as a non-transparent system. In the following, the evaluation of the analysis techniques is explained. The Chapters are sorted by requirements.
Methodical support for the investigation of system behaviour with analysis techniques - Overcoming the non-transparency in embodiment design
Processed micro-tomographic scan of the ant Ponera takaminei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains all the measurements used for the analysis of the respective publication. More details on the measurement setup etc. can be found in there. The data contains of three subfolders, one including the AIDA data, one the INKA and one the mul-NIPI data. Each folder contains one txt file for each experiment of the measurement campaign (see Table 2 in the publication). The name of the txt file represents the sample and the aerosolisation technique used (in case of the AIDA and INKA data). Below we give a short explanation on the data in each folder: AIDA: Each data file consists of 6 columns: temperature T ([T]=K), the uncertainty of T deltaT, the surface active site density nS ([ns]=m-2), the uncertainty of ns deltanS, the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the uncertainty of nm deltanm. The AIDA ns data were corrected for the background ice nucleation mode observed in the reference experiments with purely inorganic Sigma-Aldrich sea salt solution droplets (see Sect. 2.4 in the manuscript). There was no signal above background for the following experiments (and therefore no data file exists): SM100a AEGOR, SM10 AEGOR, SML8 AEGOR. INKA: Each data file consists of 2 columns: temperature T ([T]=°C), the surface active site density ns ([ns]=m-2). There was no signal for the following experiments (and therefore no data file exists): Sigma sea salt nebuliser, SM100a AEGOR, SML8 AEGOR. NIPI: Data files consist at least of two columns (T and FF) and additional of the following (depending on the dataset): temperature T ([T]=°C), concentration of ice nucleation particles INP ([INP]=L-1), frozen fraction FF, the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the freezing point depression corrected temperature Corrected T ([Corrected T]=°C), the upper limit of the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the lower limit of the ice nucleation active site density per mass of sea salt nm ([nm]=g-1).
Dataset ice nucleating activity of Arctic sea surface microlayer samples and marine algal cultures
Institut für Anorganische Chemie (AOC), Karlsruher Institut für Technologie (KIT)
X-ray powder diffraction (XRD): Data was processed using WinXPow to transform the obtained .raw data into .xy data avoiding negative intensities. Data was plotted using OriginLab. 57Fe Mössbauer spectroscopy: The spectra were fitted with WinNormos and plotted using OriginLab. X-ray absorption spectroscopy (XAS): All XAS spectra were analyzed and processed utilizing the ATHENA software package. The X-ray absorption near edge spectra (XANES) regions of the XAS spectra were acquired by subtracting the pre-edge background from the overall absorption and normalizing to the spline fit using the ATHENA software package.
Lithiumrecycling aus Batteriematerialien mit einem mechanochemischen Ansatz
This data repository contains the most important simulation data of the master thesis "On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels" by Jonathan Neuhauser (2021). In particular, the temporally and flow directionally averaged flow fields (mean velocities, Reynolds stresses, triple correlations, terms of the TKE balance) of all simulations are included. The data are stored as a compressed NumPy file in the subfolder of the respective simulation. To simplify the evaluation, a script (incl. the pyxcompact library created in the course of the work) is included to extract the data for all figures based on the included simulations.
Dieses Datenrepository enthält die wichtigsten Simulationsdaten der Masterarbeit "On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels" von Jonathan Neuhauser (2021). Insbesondere sind die zeitlich und in Strömungsrichtung gemittelten Strömungsfelder (mittlere Geschwindigkeiten, Reynoldsspannungen, Dreifachkorrelationen, Terme der TKE-Bilanz) aller Simulationen enthalten. Die Daten sind als komprimierte NumPy-Datei im Unterordner der jeweiligen Simulation abgelegt. Um die Auswertung zu vereinfachen, ist ein Skript (inkl. der im Rahmen der Arbeit erstellten pyxcompact-Bibliothek) beigelegt, mit dem die Daten für alle Abbildungen, die auf den enthaltenen Simulationen basieren, extrahiert werden.
All simulation folders contain the input file(s) for the simulation as well as the time-averaged one-point statistics of the flow. For all simulations, the following data is available: - mean velocities ``, `<v>`, `<w>` - Reynolds stresses `<u_i'*u_j*>`, pressure correlations `<u_i'*p'>` - Triple correlations `<u_i'*u_j'*u_j'>` - Averaged terms of the balance of turbulent kinetic energy (TKE): Production `P`, Pseudo-dissipation `psdiss`, pressure transport `ptr`, turbulent transport `ttrans`, viscous diffusion `viscdiff` and mean convection `mconv` - signed swirling strength `swirl_signed` - Invariants `eta`, `zeta` for the Lumley triangle as well as the averaging interval, and the y and z coordinates. For some SSBC cases, time-averaged spectra have been included. Their generation is lined out in the thesis; the methods required for generating them from the raw source files are included in `recreate_figures.py`. The dimension factors of the data have not been altered from the XCompact3D defaults. The dimension factor for velocity may be computed based on `` (e.g. friction velocity, bulk velocity). The viscosity, which is required to make the TKE fields dimensionless (dimension factor `u_tau^4/nu`) is given as `nu = 1/re_cl` with `re_cl = (re_tau/0.116)**(1.0/0.88)`. A script to extract the data for the figures in the thesis is also included. This script queries the library described in the Appendix, `pyxcompact`. The following libraries are used (tested versions in parentheses): - `numpy` (1.19.2) - `matplotlib` (3.3.2) - `scipy``(1.5.2) (for interpolation of fields) - [optional] `einsum2` (0.1) (increases performance of derivation calls) The script has been tested with `Python 3.7.6` and `Python 3.8.5`. It is called as follows: `python recreate_figures.py`. On executing, some console messages, indicating that files are missing, will be printed. pyxcompact normally expects the raw output files of XCompact3D in the same folder as the input file; but then proceeds to load the time-averaged file into memory.
Dataset to On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels
Processed micro-tomographic scan of the ant Kalathomyrmex emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data is delivered as a set of yearly archive files with each archive containing monthly netCDF files of the respective year.
The data set comprises CFC-11 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-11_61), RR-NOM (2005 - 2012, F-11_261), RR-UTLS-1 (2005 - 2007, F-11_161), and RR-MA (2005 - 2012, F-11_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS CFC-11 R-11 Freon 11 Trichlorofluoromethane
Version 8 IMK/IAA MIPAS measurements of CFC-11: the data set
Dataset which contains the data used in the publication "Ultrabroadband 1D and 2D NMR Spectroscopy", including 2D NMR spectra, Pulse shapes and pulse programs.
Ultrabroadband 1D and 2D NMR spectroscopy
Processed micro-tomographic scan of the ant Cryptopone hartwigi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Supplement for "Transformation of the filamentous Cyanobacterium Phormidium lacuna: Electroporation versus Natural Transformation": Plasmids, Transformation experiments, Bioinformatics
Electronic supplement: "Transformation of the filamentous Cyanobacterium Phormidium lacuna: Electroporation versus Natural Transformation"
This is the Sound Generator File used in the Driving Simulator Study about the Influence of emotionalizing Sound Designs on Driving behaviour. Native Instruments Reaktor 6 is necessary for running the Sound Generator. The saved preset inside the sound generator is the preset used in the experiment.
Sound Generator File of Driving Simulator Study for Native Instruments Reaktor 6
Processed micro-tomographic scan of the ant Paratrechina zanjensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus bauri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea kamiteta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# 🔬️ Experiment Evaluation Python module for the evaluation of lab experiments. The module implements functions to import meta-data of measurements, filters to search for subsets of them and routines to import and plot data from this meta-data. It works well in its original context but is currently in open alpha since it will be restructured in order to be compatible with new lab environments. Examples of its usage in scientific works will soon be published by the author that can be used to reference it. Feel free to use it for your own projects and to ask questions. For now you can cite this repository as source. # 💻️ Installation You need a running python3 installation on your OS. The module was written on Debian/GNU-Linux, was tested on Windows and should also run on other OS. It is recommended to work in an virtual environment (see the official python documentation -> from bash: `python3 -m venv exp_env` `source exp_env/bin/activate`) or conda installation. ## Dependencies Dependencies are the usual scientific modules like numpy, matplotlib, pandas but also astropy. See the `requirements.txt` from that you should be able to install the library with ``` pip install pip -U # Update pip itself pip install -r /path/to/requirements.txt ``` Alternatively you can also install the required modules from the shell etc.. The author recommends to also install jupyter that includes the interactive ipython: ``` # Example via pip pip install jupyter pip install numpy pip install matplotlib pip install scipy pip install pandas pip install astropy pip install mplcursors pip install pynufft # pip install python-slugify # make sure this version of slugify is installed and not 'slugify' ``` ## The module itself Inside your virtual environment there is a folder `exp_env/lib/python3.../site-packages`. Place the file `experiment_evaluation.py` inside this folder (or a new sub-folder with all your personal scientific code) to make it accessible. From within your code (try it from an interactive ipython session) you should now be able to import it via: ``` import experiment_evaluation as ee # or from subfolder: import my_scientific_modules.experiment_evaluation as ee ``` ### Matplotlib style In order to use the fancy custom styles (for example for consistent looking graphs throughout your publication) it is advised to use matplotlib styles. For the provided styles, copy the custom styles "thesis_default.mplstyle" etc. from the folder `stylelib` inside your matplotlib library folder: `lib/python3.9/site-packages/matplotlib/mpl-data/stylelib/*.mplstyle` # 🧑‍💻 Usage A good way to learn its usage is to have a look at the [example](examples/example_experiment_evaluation.ipynb) file. But since the module is work in progress we first explain some concepts. ## ✨ Why meta-data? The module automates several steps of experiment evaluations. But the highlight is its capability to handle experimental meta-data. This enables the user to automatically choose and plot data with a question in mind (example: plot all EQE-curves at -2V and 173Hz) instead of repeatedly choosing files manually. For calculations that need more than one measurement this becomes extremely useful but also for implementing statistics. Meta data include things like experimental settings (applied voltage on a diode, time of the measurement, temperature etc.), the experimentalist and technical informations (file-format etc., manufacturer experimental device). The module includes some generic functions but to use it for your specific lab environment you might need to add experiment and plot specific functions. ## 💾️ How to save your experiment files? In general lab measurement files stem from different devices and export routines. So frankly speaking lab-data is often a mess! But to use automatic evaluation tools some sort of system to recognize the measurement-type and store the meta-data is needed. In an ideal world a lab would decide on one file format for all measurements and labels them systematically. To include different data-types and their meta-data within one file-type there exists the *.asdf (advanced scientific data format, see their [documentation](https://asdf.readthedocs.io/en/stable/index.html) for further insight). So if you are just starting with your PhD try to use this file format everywhere ;). Also to make experiments distinguishable every experiment needs an unique identifier. So you also should number every new experiment with an increasing number and the type of the experiment. Example of useful file naming for EQE measurements: `Nr783_EQE.asdf` In the case of my PhD I decided to use what I found: store the different file formats, store them in folders with the name of the experiment and include meta-data in the file-names (bad example: `EQE/Nr783_3volt_pix1.csv`). This was not the best idea (so learn from what I learned :P) To handle that mess, this module therefore implements also some regular-expressions to extract meta-data from file-names (`ee.meta_from_filename()`), but in general it is advised to store all meta-data in the file-header (with the exception of the unique identifier and experiment type). Like this you could store your files in whatever folder structure you like and still find them from within the script. The module then imports meta-data from the files into a database and you can do fancy data-science with your data! ## 📑️ Database For calculations and filtering of datasets the meta-data and data needs to be accessible in a machine readable form. For the time being the module imports all meta-data into a pandas DataFrame that represents our database (For very large datasets this would possibly be needed to be changed). For this we have to name the root folder that includes all experiment files/folders. **Hint**: If you did not follow the unique labeling/numbering for all your experiments you can still use this module by choosing a root folder that only includes the current experiment. ``` from pathlib import Path measurement_root_folder = Path("/home/PhD/Data/") ``` We can specify some pre-filtering for the specific experiment we want to evaluate: ``` # make use of the '/' operator to build OS independant paths measurement_folder = measurement_root_folder / "LaserLab" / "proximity-sensor" / "OPD-Lens" / "OPD-Lens_v2" # Define some pre-filter devices = [nr for nr in range(1035, 1043)] # Unique sample numbers of the experiment listed by list-comprehension explst = "Mervin Seiberlich" ``` Then we import the metadata into the pandas DataFrame database via `ee.list_measurements()` and call it *meta-table*: ``` meta_table = ee.list_measurements(measurement_root_folder, devices, experimentalist=explst, sort_by=["measurement_type", "nr", "pix", "v"]) ``` ### 💡️ Advanced note: Internally `ee.list_measurements()` uses custom functions to import the experiment specific meta-data. Have a look into the source-code and search for `read_meta` for an example how this works in detail. With the *.asdf file-format only the generalized import function would be needed. ## Import data and meta-data To import now some measurement data for plotting we use the information inside *meta_table* with custom import routines and python dictionaries implementing our filters: ``` # Distinguish between reference and other measurments lens = {"nr":devices[:5]} ref = {"nr":devices[5:]} # Select by bias and compare reference samples with lens (**dict unpacks the values to combine two or mor dictionaries) eqe_lens_0V = ee.import_eqe(meta_table, mask_dict={**lens, **{"v":0}}) eqe_ref_0V = ee.import_eqe(meta_table, mask_dict={**ref, **{"v":0}}) ``` This yields python lists `eqe_lens_0V = [table1, table2, ... tableN]` with the selected data ready for plotting (Lists are maybe not smart for huge dataset and some N-dimensional object can replace this in future). Note: The tables inside the list are [astropy.QTable()](https://docs.astropy.org/en/stable/table/index.html) objects including the data and meta-data, as well as units! So with this few lines of code you already did some advanced data filtering and import! ## 🌡️ Physical units The module astropy includes a submodule astropy.units. Since we deal with real world data, it is a good idea to also include units in calculations. ``` import astropy.units as u # Radius of one microlens: r = 98 * u.um ``` ## 📝️ Calculations If you have to repeatedly do some advanced calculations or fits for some plots, include them as functions in the source-code. An example would be `ee.pink_noise()` ## 📊️ Plots For plotting there exists many modules in python. Due to its grate power we use matplotlib. This comes with the cost of some complexity (definitely have a look at its [documentation!](https://matplotlib.org)). But this enables us for example to have a consistence color style, figure-size and text-size in large projects like a PhD-thesis: ``` mpl.style.use(["thesis_default", "thesis_talk"]) # We use style-sheets to set things like figure-size and text-size, see https://matplotlib.org/stable/tutorials/introductory/customizing.html#composing-styles w,h = plt.rcParams['figure.figsize'] # get the default size for figures to scale plots accordingly ``` In order to not invent the wheel over and over again it makes sense to wrap some plotting routines for each experiment inside some custom functions. For further detail see the [documentation/recommended function signature for matplotlib specialized functions](https://matplotlib.org/2.0.2/faq/usage_faq.html#coding-styles). This enables easy experiment-type specific plotting (even with statistics) once all functions are set up: ``` # %% plot eqe statistics fig, ax = plt.subplots(1,1, figsize=(w, h), layout="constrained") ee.plot_eqe(ax, eqe_lens_0V, statistics=True, color="tab:green", plot_type="EQE", marker=True, ncol=2) ee.plot_eqe(ax, eqe_ref_0V, statistics=True, color="tab:blue", plot_type="EQE", marker=True, ncol=2) ax.set_ylim(0,60) ax.legend(["Lens","$1\sigma - Lens$", "Reference", "$1\sigma - reference$"], loc="lower left", ncol=2) ``` Only 5 lines of code! For further details see the [example](examples/example_experiment_evaluation.ipynb) file! # 📖 FAQ 1. How do I get further information about the functions of the module? Use the doc-string! In jupyter-lab or ipython type for example `ee.plot_eqe?` to read more about the custom plot function for eqe measurements 2. How do I exclude some specific measurements (outliers, false_measurements)? Import functions now implement an `exclude` argument comprising a list of dictionarys to exclude specific data. ``` data_dark_pcbm_ref = ee.import_iV(meta_table, A=0.01*u.cm**2, mask_dict={"nr":PCBM, **pix}, exclude=[{"c":[25,150]}, {"solventOnly":True}]) ``` Sometimes it is helpful to only append single measurements by the += operator though. Here is an example: ``` data_ldr_0V = ee.import_ldr(meta_table, mask_dict={"nr":[1035, 1036, 1037, 1038, 1039, 1040, 1041], "v":0, "custompower":[0, 9.5]}) data_ldr_0V += ee.import_ldr(meta_table, mask_dict={"nr":1042, "pix":1, "v":0, "custompower":[0, 9.5]}) ``` # 👥️ Contributors and acknowledgment Many question were answered by searching through forums and the author is very thankful for the culture of openness in the FOSS community. A warm thank you goes to [Jyh-Miin Lin](https://github.com/jyhmiinlin) who provided a helpful example and explanations on how to use the excellent [pynufft](https://github.com/jyhmiinlin/pynufft) package for non-uniform FFT. # 💌️ License License: Copyright (C) 2022-2023 Mervin Seiberlich Author - Mervin Seiberlich This file is part of experiment_evaluation. experiment_evaluation is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. experiment_evaluation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with experiment_evaluation. If not, see <https://www.gnu.org/licenses/>.
Python module for the evaluation of lab experiments. The module implements functions to import meta-data of measurements, filters to search for subsets of them and routines to import and plot data from this meta-data. It works well in its original context but is currently in open alpha since it will be restructured in order to be compatible with new lab environments.
Processed micro-tomographic scan of the ant Trichomyrmex emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tranopelta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga decedens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Axinidris hypoclinoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This database provides the datapoints for the publication "von Deyn, L. H., Gatti, D., & Frohnapfel, B. (2022). From drag-reducing riblets to drag-increasing ridges. Journal of Fluid Mechanics, 951, A16. Cambridge University Press".
-------------------------------------------------------------------------------- Database: From Drag-Reducing Riblets to Drag-Increasing Ridges -------------------------------------------------------------------------------- This database provides the measurement data presented in the journal article "From drag reducing riblets to drag increasing ridges" (doi:10.1017/jfm.2022.796). It features high-precision pressure measurements in a wind tunnel facility along the test section and the corresponding flow rate used to determine the skin friction drag change of ribelts and ridges. Datapoints for eight geometrically different sets of 2D trapezoidal groove geometries are included. Different orifice diameters are used to cover the bulk Reynolds number range $4500<Re_b<85000$ as specified in table 1. The introduced index is used in the data files to mark the different orifices. Table 2 provides the physical dimensions of the investigated geometries. For more details refer to the journal article, figure 2 and table 2. table 1: |type | index | diameter | range in Re_b |----------------|:-------------------------------:|:-----------------------------:|:------------------: |orifice|1 |60[mm] |4500<Reb<13000 |orifice|2 |105[mm] |6000<Reb<23000 |orifice|3 |120[mm] |7000<Reb<38000 |orifice|4 |150[mm] |30000<Reb<85000 -------------------------------------------------------------------------------- _____s_____ /\ /\ | / \ / \ |h __/ \ ___ / \ ____ --sr-- table 2: |ID | s[mm] | h[mm] | s/sr | tip angle |----------------|:----:|:-----:|:----:|:-----: |dr_1a|0.086 |0.09 |1 |51.1 |dr_1b|0.17 |0.18 |1 |50.6 |dr_1c|1 |0.87 |1 |60 |dr_2|0.614 |0.294 |2.07 |53.5 |di_2|5.31 |2 |2.3 |60 |di_4|9.23 |2 |4 |60 |di_8|18.48 |2 |8 |60 |di_13|27.31 |2 |13.2 |54.8 -------------------------------------------------------------------------------- Content: *readme.txt *dr_xx: four geometrically different sets of riblets measured in the range of 4500<Reb<85000. *di_xx: four geometrically different sets of ridges measured in the range of 4500<Reb<89000.
Database: From drag-reducing riblets to drag-increasing ridges
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research Troposphere Research
This dataset contains Doppler lidar measurements in the level 1 data format required for wind profile processing with AtmoProKIT. The measurements were carried out at Fischerbach from 10th to 12th July 2023.
AtmoProKIT level 1 Doppler lidar measurements demonstration dataset
Data related to the paper "The Atmospheric Composition Component of the ICON modeling framework: ICON-ART version 2025.04" By Gholam Ali Hoshyaripour, Andreas Baer, Sascha Bierbauer, Julia Bruckert, Dominik Brunner, Jochen Foerstner, Arash Hamzehloo, Valentin Hanft, Corina Keller, Martina Klose, Pankaj Kumar, Patrick Ludwig, Enrico Metzner, Lisa Muth, Andreas Pauling, Nikolas Porz, Thomas Reddmann, Luca Reißig, Roland Ruhnke, Khompat Satitkovitchai, Axel Seifert, Miriam Sinnhuber, Michael Steiner, Stefan Versick, Heike Vogel, Michael Weimer, Sven Werchner, and Corinna Hoose. https://doi.org/10.5194/egusphere-2025-3400
atmospheric composition, atmospheric aerosols, atmospheric chemistry
ICON-ART v2025.04: Simulation Data Supporting the GMD Publication
This data set contains all benchmark sets used in the dissertation of Sebastian Schlag. The zip archive contains a dedicated README file for each benchmark set.
This data set contains all benchmark sets used in the dissertation of Sebastian Schlag.
Benchmark Sets used in the Dissertation of Sebastian Schlag
Processed micro-tomographic scan of the ant Tapinoma saohime, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The MobimaWoodlands dataset consists of two subsets, MobimaWoodlands/Winter and MobimaWoodlands/Summer, with 126 images each. Both subsets are captured manually with handheld cameras. This dataset features typically middle-European mixed forests in summer and in winter. The summer subset is in 16:9 landscape format, while the winter subset is in 4:3 portrait orientation. The dataset includes mask and bounding box annotations for the five object classes: - Stems (0): Trunks and cutted trees with a diameter of approx. ≥10 cm - Trees (1): Trees with a diameter of approx. ≥10 cm - Stumps (2): Tree stumps - Obstacles (3): Non-passable objects not being subject to any of the other groups (e.g. stones, raised hides, way signs) - Persons (4): Complete or partially visible humans
1.8 million ECGs derived from multiscale simulations of cardiac electrophysiology of ventricular extrasystoles. 1000 anatomical variants of a bi-ventricular mesh x 600 excitation origins x 3 heart posiitions in the torso
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 5)
Processed micro-tomographic scan of the ant Strumigenys aff trudifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Helmholtz-Zentrum für Informationssicherheit
Measurement studies are essential for research and industry alike to understand the Web's inner workings better and help quantify specific phenomena. Performing such studies is demanding due to the dynamic nature and size of the Web. An experiment's careful design and setup are complex, and many factors might affect the results. However, while several works have independently observed differences in the outcome of an experiment (e.g., the number of observed trackers) based on the measurement setup, it is unclear what causes such deviations. This work investigates the reasons for these differences by visiting 1.7M webpages with five different measurement setups. Based on this, we build `dependency trees' for each page and cross-compare the nodes in the trees. The results show that the measured trees differ considerably, that the cause of differences can be attributed to specific nodes, and that even identical measurement setups can produce different results.
This repository hosts the dataset corresponding to the paper "On the Similarity of Web Measurements Under Different Experimental Setups", which was published at the Proceedings of the 23nd ACM Internet Measurement Conference 2023.
Dataset: On the Similarity of Web Measurements Under Different Experimental Setups
Processed micro-tomographic scan of the ant Myrmecia croslandi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data needed for the plots and analysis in the review paper. The scripts are provided here as tarball from https://github.com/aikovoigt/cloud-radiation-circulation-review, git commit 7f06022fe62b3025a090255816452c665914f1ce.
Data and scripts for "Clouds, radiation and atmospheric circulation in the present-day climate and under climate change"
Processed micro-tomographic scan of the ant Recurvidris recurvispinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT), Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
New dataset see relations. Provided data: Folder: Catalyst state and conversion - XAS -XAS: Columns within the files: 1) Energy (DCM_2Pitch) 2) Detector before sample (Ioni1) 3) Detector behind sample (Ioni2) 4) Detector behind reference Pt foil for alignment (Ioni3) 5) Fluorescence detector (Fluo_1) - Temperatures and CO conversion during XAS data acquisition Folder: Conversion profiles - Profile reactor - Spatially resolved gas phase investigations (positions and CO conversions) Folder: Temperature - IR - IR thermograms and temperature histograms Folder: Estimations MTL - Estimations on various parameters
Role of powders and coatings - preliminary data
Processed micro-tomographic scan of the ant Mystrium camillae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This software retrieves the different contrasts transmission, scattering and differential phase from 2D patterned images of Hartman or Shack-Hartman sensors. Additionally the absolute phase can be reconstructed.
With SHWaveRecon you can reconstruct mutli-contrast images from Hartman and Shack-Harmtan like sensors which generate a 2D pattern of light spots. It allows to reconstruct the transmission, scattering (also called diffraction or dark-field), diferential phase and also the absolute phase by comparing images without and with the tested sample. For a detailed description of the usage please see the README.txt file which can be opened directly in the software.
Shack-Hartman sensor wavefront reconstruction software
Processed micro-tomographic scan of the ant Dorylus kohli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Centromyrmex feae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
This dataset contains vertical displacement times series of the Earth’s surface in the Vietnamese Mekong Delta for the time period between April 2017 and April 2022, which were estimated with the Persistent Scatterer Interferometry (PSI) method described in Dörr et al. (2024, accepted for publication). The method was applied to descending and ascending SAR stacks acquired by ESA’s Sentinel-1 constellation, which contained 277 and 115 VV-polarized SAR scenes, respectively, and were acquired in the interferometric wide swath mode. The applied PSI method features (i) a full integration of Temporary Persistent Scatterers, enabling the monitoring of areas with infrastructural land cover changes during the considered time series; (ii) a method to optimally integrated reference points with known displacement to suppress spatially correlated noise. For the latter, we here made use of a combination of solid rock outcrops and an infrastructural reference network consisting of large bridges with deep pile foundations of about 70 m, which were selected in statistical cross-checks. Referencing to these bridges results in the fact that only subsidence originating from soil layers above their foundation depth of the used bridges could be measured in large parts of the study area. However, we discussed in Dörr et al. (2024, accepted for publication) that the largest part of the total subsidence originates from shallower layers. The provided dataset can make a crucial contribution to in-depth studies of the causes and future projections of land subsidence in the Mekong Delta. They can, for example, serve as input for hydro-geological modeling, or can be examined with regard to correlations with environmental and anthropogenic parameters, such as groundwater extraction rates, land cover and land use, as well as climatological data. Reference: Dörr, N., Schenk, A., Hinz, S. (2024, accepted for publication). Land subsidence in the Mekong Delta Derived from Advanced Persistent Scatterer Interferometry with an Infrastructural Reference Network, accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
The dataset contains two netCDF-4 files and a readme.txt file. The netcdf-4 files contain vertical displacement time series -between April 2017 and April 2022- and related information of identified (temporary) persistent scatterers in the analyzed descending and ascending Sentinel-1 stacks, respectively. The specific contents of the netCDF-4 files, as well as information on its recommended use are given in readme.txt.
Vertical surface displacement time series in the Vietnamese Mekong Delta derived from Advanced Sentinel-1 Persistent Scatterer Interferometry
Tabletop Microplotter - Scaffold Structure (Difficult Access Example)
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.2.0
Processed micro-tomographic scan of the ant Megalomyrmex milenae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole aurivilli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Spectra in JCAMP-DX and Bruker format together with Bruker pulse programs used for acquisition of example NMR spectra.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 13)
The spectra were measured on January 9th, 2020 at the heights above the chamber bottom of 1 m, 2.1 m, 2.9 m and 4.0 m with an uncertainty of ±10 cm in the center of the chamber with an Opsytec SR Pro UV-Vis Spectrometer connected to a UV-diffusor in W m-2 (spectral resolution: 2.3 nm (FHWM)) . The Opsytec SR Pro UV-Vis Spectrometer had been calibrated on December 11th, 2019 by Opsytec Dr. Gröbel GmbH showing spectral differences of less than 0.3 nm and an accuracy of ±9% for the radiometric results. The AIDA light source was operated at the highest output possible at room temperature for this characterization. Drastic outliers were considered as measurement artefacts and replaced by the median. The median was calculated with 15 points and every point exceeding the median by a threshold of 0.04 was replaced with the median. This resulted in the replacement of at most 21 out of the 2048 data points and does not change the general spectral information. The data measured at different heights were saved as a space separated text file: SRPro-central-measurements-20200109.txt. Please note that these data are related to the following publication in the AMT Special Issue: Simulation chambers as tools in atmospheric research: Vallon, M., Gao, L., Jiang, F., Krumm, B., Nadolny, J., Song, J., Leisner, T., and Saathoff, H.: LED based solar simulator to study photochemistry over a wide temperature range in the large simulation chamber AIDA, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2021-362, in review, 2021.
ADDITIONAL INFORMATION ON THE SPECTRAL LIGHT MEASUREMENTS IN THE AIDA AEROSOL AND CLOUD SIMULATION CHAMBER TO CHARACTERIZE AN LED BASED SOLAR SIMULATOR
Spektren der Lichtquelle in der AIDA Aerosol und Wolkenkammer
Light spectra measured inside the AIDA aerosol and cloud simulation chamber
Processed micro-tomographic scan of the ant Neivamyrmex cf hetschkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains the post-processed outputs, namelist files, and XML configuration files for the conducted model experiments with ICON release 2025.04 associated with the manuscript: [Ramezani Ziarani, M., Sinnhuber, M., Reddmann, T., Funke, B., Bender, S., and Prather, M.: Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART, Geosci. Model Dev. Discuss. [preprint]]( https://doi.org/10.5194/gmd-2024-227), in review, 2025. ICON release 2025.04 is available through the ICON partnership (MPI-M; DWD; DKRZ; KIT; C2SM) (2025). ICON release 2025.04. World Data Center for Climate (WDCC) at DKRZ. [https://doi.org/10.35089/wdcc/iconrelease2025.04](https://doi.org/10.35089/wdcc/iconrelease2025.04) By downloading the ICON source code, users agree to the license terms set by the ICON partners.
Model Experiment Output and Configuration (LINOZV3 Integration into ICON release 2025.04)
The holographic X-ray computed tomography experiments were performed on beamline ID16A at the European Synchrotron Radiation Facility (ESRF), Grenoble, France in the frame of experiment CH-5805. The experimental procedure and data analysis details are provided in the respective original publication. Segmentation and labeling were performed with the software Avizo. The data import is possible and was tested with Avizo and the open source software ImageJ. The data is named according to the publication "material" is the nanoporous solid, "pores" is the complete pore system and "pores.separate" is the separated pore system into individual pores
The data contains the segmented, labeled holographic X-ray computed tomography data of an activated Ni/Al$_{2}$O$_{3}$ reference catalyst for CO$_{2}$ methanation.
Holographic X-ray computed tomography datasets of an activated Ni/Al$_{2}$O$_{3}$ reference catalyst
- The .csv files contain experimental data obtained from ATPF experiments at laboratory scale. - The flotation tank used contains 700 ml of the aqueous two-phase system (ATPS). The phase forming components were polyethylene glycol 1000 and trisodium citrate dihydrate. - Phospholipase A2 was used as the model enzyme and the model suspension was mixed with the bottom phase. - The flotation tank was conceptually divided into three compartments, each compartment containing a gassing unit and an electrical conductivity probe. The electrical conductivity probes were inserted 1 cm below the phase interface. - An UV/Vis spectrometer with flow cell was implemented at the top phase outlet to obtain the top phase concentration in real-time. The bottom phase concentration was calculated via a mass balance equation. - The file names contain the process parameters in the following order: feed concentration_gas flow rate combination (Vd_1-Vd_2-Vd_3, see also below)_residence time_volume ratio (top to bottom phase)_experiment number. - The .csv files contain the following experimental data: - t: time in min - R_top, R_bot: top and bottom phase recirculation (R = 1 for full recirculation, R = 0 for no recirculation) - c_bot_3, c_top_3: enzyme concentration obtained from UV/Vis measurements in % (w/w). - kappa_bot_1, kappa_bot_2, kappa_bot_3: Electrical conductivity measurements in all three compartments in mS/cm. - Qd_bot, Qd_top: Volume flows of top and bottom phase in ml/min. - Vd_1, Vd_2, Vd_3: Gas volume flows of the three gassing units in ml/min.
Online measurement data of continuous aqueous two-phase flotation (ATPF) for enzyme purification
Institut für Angewandte Biowissenschaften
The results are combined in three zip files, named according to the recipe. Within each zip file, samples are named according to the following procedure: Recipe (BC for basic cake, PC for pound cake or B for brioche); Product (c for cake, alias baked product and d for dough/batter); Treatment (Blank for untreated sample, A-O for lipase or QC for quality control); Replicate (a-c for triplicate and s for spiked sample a). e.g. sample BCdE_b is a batter sample of basic cake treated with lipase E
Lipases are promising improvers of cake batter and baking properties. Their suitability for use in various cake formulations cannot be predicted yet, because the reactions that lead to macroscopic effects need to be unravelled. Therefore, the lipidome of three different cake recipes with and without lipase treatment was assessed by ultra high performance liquid chromatography-mass spectrometry before and after baking. By comparing the reaction patterns of seven different lipases in the recipes with known effects on texture, we show that lipase substrate specificity impacts baking quality. Key reactions for the recipes were identified with the help of principal component analysis. In the eggless basic cake, glyceroglycolipids are causal for baking improvement. In pound cake, lysoglycerophospholipids were linked to textural effects. Lipase substrate specificity was shown to be dependent on the recipe. Further research is needed to understand how recipes can be adjusted to achieve optimal lipase substrate specificity for desirable batter and baking properties.
Effect of baking lipases on the lipidome of cake
In dieser Arbeit werden zwei Aspekte der dynamischen Natur von proteinen mit Hilfe von Enhanced Sampling Methoden untersucht. Zunächst wurden Mikrosekunden-Molekulardynamiksimulationen von Harzianin HK VI (HZ) in Wechselwirkung mit einer Dimyristoylphosphatidylcholin-Doppelschicht unter der Bedingung eines niedrigen Peptid-zu-Lipid Verhältnisses durchgeführt. Zwei Orientierungen des HZ-Moleküls in der Doppelschicht wurden gefunden und charakterisiert. In der Ausrichtung senkrecht zur Doppelschicht-Oberfläche induziert HZ eine lokale Ausdünnung der Doppelschicht. Wird HZ parallel zu seiner Oberfläche in die Doppelschicht eingesetzt, befindet es sich nahezu vollständig im hydrophoben Bereich der Doppelschicht. Eine ausgedehnte Sampling lieferte qualitative Ergebnisse und zeigte, dass die letztgenannte Orientierung ein globales Minimum der freien Energie ist. Die sekundäre Struktur von HZ wurde charakterisiert, und es wurde festgestellt, dass sie sich in der 3_10-helikalen Familie befindet. Zweitens wurde die Thiol-Disulfid-Austauschreaktion in Modellsystemen und kleinen Peptiden mit Hilfe eines kombinierten QM/MM-Metadynamikschemas untersucht. Die freien Energielandschaften dieser Systeme wurden generiert, und liefern die Strukturen von Reaktanden und Produkten mit atomaren Details, sowie die Höhen der freien Energiebarrieren (oder Aktivierungsenergien), die dem spontanen Austausch entgegenwirken. Ein QM/MM-Schema mit rein klassischem Wasser erwies sich als effiziente und präzise Kompromisslösung. Die Berechnungen ergaben den erwarteten symmetrischen Trisulfid-Übergangszustand und seine Struktur und Energiebarriere waren für die intramolekularen Thiol-Disulfid-Reaktionen in Modellpeptiden sehr ähnlich. Während CXC-Disulfidbindungen als sterisch ungünstig eingestuft wurden, wurde CXXC gegenüber längerfristigen Disulfidbindungen entlang des Peptidrückgrats bevorzugt, was der hohen Häufigkeit von CXXC-Motiven in Redox-Proteinen entspricht. Eine direkte Anwendung auf ein reales Protein wurde ebenfalls in Form von Force-Clamp Simulationen durchgeführt. Das Protokoll ermöglichte die Simulation der Disulfidbindungsisomerisierung in einem einzelnen Protein und reproduzierte die in einem AFM-Experiment beobachtete Regioselektivität.
In this work two aspects of the dynamic nature of proteins are investigated using enhanced sampling techniques. Firstly, microsecond molecular dynamics simulations of harzianin HK VI (HZ) interacting with a dimyristoylphosphatidylcholine bilayer were performed at the condition of low peptide-to-lipid ratio. Two orientations of HZ molecule in the bilayer were found and characterized. In the orientation perpendicular to the bilayer surface, HZ induces a local thinning of the bilayer. When inserted into the bilayer parallel to its surface, HZ is located nearly completely within the hydrophobic region of the bilayer. An extended sampling simulation provided qualitative results and showed the latter orientation to be a global minimum of free energy. The secondary structure of HZ was characterized, and it was found to be located in the 3_10 -helical family. Secondly, the thiol–disulfide exchange reaction in model systems and small peptides was investigated by means of a combined QM/MM metadynamics scheme. The free energy landscapes of these systems were generated, providing the structures of reactants and products with atomic detail, as well as the heights of free energy barriers (or, activation energies) opposing the spontaneous exchange. A QM/MM scheme with purely classical water turned out to be an efficient and accurate compromise solution. The calculations yielded the expected symmetric trisulfide transition state, and its structure and energy barrier were very similar for the intramolecular thiol–disulfide reactions in model peptides. While CXC disulfide bonds were found sterically unfavorable, CXXC were favored over longer-range disulfide bonds along the peptide backbone, in line with the high abundance of CXXC motifs in redox proteins. A direct application in a real protein was also performed through force-clamp simulations. The protocol allowed for simulation of the disulfide bond isomerization in a single protein, reproducing the regioselectivity observed in an AFM experiment.
The data is storedd divided into three separate folders, which follow the structure of the thesis.
Investigation of the dynamic nature of proteins with enhanced sampling techniques
Institute of Atmospheric Sciences and Climate
Data from CALISTHO21_new campaign taking place from 2021-12-21 - 2022-05-08 at Mt. Helmos HAC2 station. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Processed micro-tomographic scan of the ant Tetramorium kestrum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Chalybion japonicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax congruus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT), Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
This data was generated at KIT. Corresponding publication: https://arxiv.org/abs/2312.04211
Readout error mitigated quantum state tomography tested on superconducting qubits
Processed micro-tomographic scan of the ant Cyphomyrmex flavidus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die Forschungsdaten gehöre zur folgenden Publikation: T. Hanemann, A. Klein, S. Baumgärtner, J. Jung, D. Wilhelm, S. Antusch, Material Extrusion 3D Printing of PEEK-Based Composites, Polymers, 15(16), 3412 (2023), DOI: 10.3390/polym15163412.
Der Datensatz beschreibt die Herstellung und Charakterisierung von PEEK-basierten Kompositen.
The dataset describes the production and characterization of PEEK-based composites.
Research on poly(ether ketone ketone) PEEK based composites
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V1 (videos)
Processed micro-tomographic scan of the ant Eciton quadriglume, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set contains experimental data from continuous aqueous two-phase flotation (ATPF) experiments. The laboratory setup for data generation is described in detail in our previous publication (DOI: https://doi.org/10.1016/j.ces.2024.120287, KITopen-ID: 1000171714). The data-folder contains experimental data from continuous ATPF experiments (folder: exp_data) and additional raw data (folder: raw). The contents of each folder are described below: exp_data: Each data set of an experiment contains a meta-data file (.json-file) and a .csv-file with experimental data. The files contain the following data: - meta-data file: - cF_bot_0: feed concentration of enzyme in the bottom phase. - V_R: volume ratio of top phase to bottom phase. - online_measurement: set to "true" in case of online measurements. - experiment_type: the experiment type of all experiments in this data set is "constant_u", because all experiments were performed with constant gas flow rates and volume flows. - .csv file (analogous to our previously published dataset (DOI: 10.35097/pn5npep7vfjn92fe, KITopen-ID: 1000174648) - t: flotation time in min. - R_top, T_bot: recirculation of top and bottom phase (R=1: full recirculation; R=0: no recirculation (continuous operation mode)). - c_bot_3, c_top_3: enzyme concentration in compartment 3 in % (w/w). The top phase concentration is measured by online UV/Vis spectroscopy, while the bottom phase concentration is calculated by a mass balance equation). - kappa_bot_1, kappa_bot_2, kappa_bot_3: electrical conductivities in mS/cm. - Qd_bot, Qd_top: volume flows of each phase in mL/min. - Vd_1, Vd_2, Vd_3: volume flows of the gassing units in mL/min. raw: This folder contains measurement data of the mixing zone height at different gas flow rate combinations (Excel: raw data_height mixing.xlsx, CSV: raw data_height mixing.csv) and the Sauter mean diameter (Excel: raw data_sauter mean diameter.xlsx) for the three porous media glass membrane (v_d32_glass.txt), metal sieve (v_d32_metal.txt) and twill weave (v_d32_twill.txt). The Sauter mean diameters are the raw data from our previous publication (DOI: https://doi.org/10.1016/j.ces.2020.116391, KITopen-ID: 1000129339)
Experimental data of continuous aqueous two-phase flotation (ATPF) with constant process parameters
Processed micro-tomographic scan of the ant Pseudomyrmex fiebrigi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Supplementary data for referenced paper. For more information, see README.md
Data for Paper: Magnetic 2π domain walls for tunable Majorana devices (arXiv)
Wetting behaviour of ink jet printed electronic inks on patterned substartes
Monolithically printed all-organic flexible photosensor active matrix
Survey on storage and long-term archiving of research data at KIT
ZAK | Zentrum für Angewandte Kulturwissenschaft und Studium Generale
Umfrage zur Speicherung und Langzeitarchivierung von Forschungsdaten am KIT
Data for "Helitronics as a potential building block for classical and unconventional computing"
Seismic signals as are emitted by wind turbines can be rather narrow band and appear as distinct peaks in a spectral analysis. Nevertheless, their signal phase is suffiently stochastic so that power spectral density (PSD) is an accurate and robust measure of the signal level and its spectral distribution. A conservative smoothing over a narrow bandwidth (as small as 0.01 Hz) reduces the stochastic scatter while preserving the information on spectral variability. Values of rms-amplitude in a finite bandwidth can easily be computed from PSD and would represent the time domain signal background. This measure is helpful to estimate the signal-to-noise ratio for earthquake peak amplitudes. Amplitude values, however, are somewhat arbitrary because they are larger the wider the chosen bandwidth. A Jupyter notebook written in python is provided to test these concepts with various parameters on actual seismic recordings. A phase-coherent harmonic, for which PSD is mathematically infinite, is injected in the recorded data. By comparison with their signature the analysis demonstrates that the wind-turbine generated signals are not subject to scaling artefacts of PSD. The results are summarized in a presentation given at the 2025 annual conference of AG Seismologie in Kiel (Germany) at the meeting of the task group 'Auswertung seismologischer Signale von Windenergie-Anlagen' (Evaluation of seismological signals from wind turbines).
Measures for seismic signal levels of wind turbine emissions
The csv-files contain the processed model output (spatio-temporal means or maximum values) for output parameters of interest. This dataset was used to train the emulators which are also included as R workspaces. The R package "Sensitivity" is necessary to perform sensitivity analyses using the emulators.
This study aims to identify whether model parameters describing atmospheric conditions such as wind shear or model parameters related to cloud microphysics such as the fall velocity of hail lead to larger uncertainties in the prediction of deep convective clouds. In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of three sets of input parameters (environmental conditions, microphysics, combined) on cloud properties (vertically integrated content of six hydrometeor classes), precipitation, the size distribution of hail and diabatic heating rates. This dataset contains the processed model output and the generated emulators when the convection is triggered by a warm bubble.
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics
Processed micro-tomographic scan of the ant Camponotus quadrinotatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Theoretische Teilchenphysik
# Ancillary files of the PhD thesis ``Meson width differences and asymmetries'' by Marvin Gerlach This folder contains several ancillary files in Mathematica readable form. To load them just use "Get[fileName]" and all necessary information will be printed. The following files are available: * dB2MatrixElemens.m: One- and two-loop matrix elements of the Delta B=2 operators Q, Q_S and Q_S~ with a gluon mass as IR regulator. * Gamma12-Result.m: Final results for the matching coefficients H(z) and H_S~(z) of Gamma_{12} up to O(alpha_s^3) and to leading order in z * MassiveGluonMasterIntegrals.m: Analytic results of the master integrals which include a non-vanishing gluon mass. * R0-SupressionFactors.m: The one- and two-loop results for alpha_Q and alpha_{Q_S~} which recover the power supression of R_0 * ZdB2-Q-QS-QSt.m: Renormalization matrix for the Delta B=2 operator basis up to two-loop order with the physical operators Q, Q_S and Q_S~ * ZdB2-Q-QS-R0.m: Renormalization matrix for the Delta B=2 operator basis up to two-loop order with the physical operators Q, Q_S~ and R_0
Ancillary files for "Meson width differences and asymmetries - Calculations of higher order contributions to neutral B-meson mixing"
The data are described in the paper by M. Höpfner et al.: 'Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons', Nature Geoscience, 2019, https://doi.org/10.1038/s41561-019-0385-8.' The datasets are provided in netCDF format and can e.g. be visualized with the software Panoply which is available at 'https://www.giss.nasa.gov/tools/panoply/'.
Datasets from MIPAS and GLORIA infrared limb-sounding instruments, from AIDA cloud-chamber observations and from ATLAS and TRACZILLA trajectory calculations as used in the paper 'M. Höpfner et al., Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons', Nature Geoscience, 2019.
Processed micro-tomographic scan of the ant Neoponera crenata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Hymenoptera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole dyctiota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
To access the frequencies of the secondary ice production events, please refer to "Data_SIP_event_frequencies.pdf". Description of the high speed video footage can be found in "Video captions.pdf". The date format of the videos is yyyy/mm/dd.
Additional Material for "Secondary Ice Production upon Freezing of Freely Falling Drizzle Droplets" - High Speed Video Footage and SIP Event Frequencies
# RandomShimDB: A subset of the NMR magnet shimming database ShimDB RandomShimDB is a subset of the NMR magnet shimming database [ShimDB](https://github.com/mobecks/ShimDB) and contains over 15000 instances. Data is aquired on a Spinsolve 80 Carbon spectrometer (Magritek GmbH, Aachen, Germany, www.magritek.com) on 5%vv H2O in D2O and a water solution with CuSO4 (5mmol/L). RandomShimDB is part of "Acquisitions with random shim values enhances AI-driven NMR shimming" by M. Becker et al. [1]. The acquisition procedure was as follows. The manufacturer's automated shimming technique, based on the downhill simplex method, was used to obtain a reference spectrum. Then, the shims X, Y, Z and Z2 were varied. The dataset parameters were obtained by relative offsets from the reference shim values in a range R with weighting W, following Gaussian noise sampling. For each combination, the raw FID, acquisition parameters, and the shim values were stored. | Topic | Parameter | Value | |------------------------|------------------|-----------------------| | Dataset parameters | Shims | X,Y,Z,Z2 | | | Weightings W | [1.2, 1.0, 2.0, 18.0] | | | Shim range R | +/- 50 | | | Sample I | H2O+CuSO4 | | | Sample II | 5vol% H2O in D2O | | | Nr. spectra | {5000,10000} | | Acquisition parameters | Nucleus | 1H | | | Bandwidth | 5 kHz | | | Points | 32768 | | | Repetition time | 2000 ms | | | Phase correction | phi_0 | **We strongly encourage researchers to extend ShimDB with their own subsets to stimulate developments. We offer to include raw data or links to your publications into ShimDB.** ## Files format Each folder in RandomShimDB contains the following files: - data.1d -> the raw FID. - shims.par -> Shim values, where only linear shims are non-zero. - acqu.par -> Acquisition parameters. - proc.par -> Processing parameters. The RandomShimDB root folder also contains the reference starting shims (ReferenceShims.par). ## Data loading We deliver a python script ```utils_IO.py``` alongside [ShimDB](https://github.com/mobecks/ShimDB) to easily load the database into numpy array structure using the [nmrglue packages](https://github.com/jjhelmus/nmrglue)[2]. The following python libraries and packages are required: os, numpy, glob, nmrglue (>= v0.9.dev0) # References [1] M. Becker, S. Lehmkuhl, S. Kesselheim, J. G. Korvink, and M. Jouda, “Acquisitions with random shim values enhance AI-driven NMR shimming,” J. Magn. Reson., p. 107323, 2022, doi: https://doi.org/10.1016/j.jmr.2022.107323. [2] J. J. Helmus and C. P. Jaroniec, “Nmrglue: An open source Python package for the analysis of multidimensional NMR data,” J. Biomol. NMR, vol. 55, no. 4, pp. 355–367, 2013, doi: https://doi.org/10.1007/s10858-013-9718-x.
RandomShimDB: A subset of the NMR magnet shimming database ShimDB
Processed micro-tomographic scan of the ant Mycocepurus smithii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Syllophopsis aureorugosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Input files to run the 3D inversion using SIMULPS - CNTL (control file) - MOD_in (initial velocity model) - EQKS (initial earthquake catalogue + arrival times) - STNS (seismic stations info) Initial models - MOD_2din (2D smooth P-wave velocity model, SIMULPS format) - MOD_3din (3D P-wave velocity model for Vp/Vs inversion, SIMULPS format) Final results - final_locations (earthquake catalog + arrival times) - MOD_3dout (3D seismic velocity model, SIMULPS format) - 3DVM_results.for_plot (3D seismic velocity model) * To run these data SIMULPS (Thurber, 1983, Eberhart-Philips, 1986) is needed: http://faldersons.net/Software/Software.html ** The results can be visualized using gmt and simul2gmt utilities
Research data for '3D local earthquake tomography of the Ecuadorian margin in the source area of the 2016 Mw 7.8 Pedernales earthquake'
file consists of data from following sensors, obtained during experiments: • blast pressure sensor • noise sensor • heat flux sensor • pipework thermocouples • pressure sensor • mass flow sensor • near-field weather station • far-field wind sensor • far-field humidity sensor and videos getted during experiments
Work package five of the PRESLHY project focusses on the combustion phenomena of liquid hydrogen (LH 2 ). The experimental programme was designed to provide insight into a number of credible and poorly understood LH 2 combustion scenarios. One such scenario is the effect of congestion or confinement on an ignited hydrogen cloud stemming from a release of LH 2 , potentially leading to deflagration to detonation transition (DDT). This report summarises the large-scale experiments carried out at the HSE Science and Research Centre in Buxton investigating the effect of differing levels of congestion and confinement on the combustion properties of a hydrogen cloud developing from a release of LH2. Various combustion parameters were measured, including; the overpressure, heat flux, and noise. Monitoring of ambient and release conditions were also made to allow for a thorough analysis of the results. A total of 23 ignited trials were completed and involved releasing LH2 using the same initial conditions as in the rainout experiments of work package 3, meaning that the dispersion patterns should remain similar. The congestion and confinement was created by a configurable steel structure placed directly in the path of the release. Two congestion levels, confinement and pool experiments were planned, however due to the safe noise level being reached, only the congestion experiments were completed. To compensate for this, multiple repeats and experiments with a wide variety of source conditions were conducted. From the results, it is clear that higher levels of volumetric congestion increases the measured overpressures in releases with the same initial conditions. The results also show that an increasing hydrogen inventory, either through an increased release pressure or larger nozzle, can result in a larger event upon ignition. However, the mixing of the jet also plays a part; some releases through the largest release orifice diameter showed lower overpressures potentially due to the hydrogen cloud being too rich. It was observed that the ambient conditions, in particular the wind speed and direction, were a significant factor in the outcome of each ignition. This was particularly prominent in trials 21 to 23.
Fuel Cells and Hydrogen Joint Undertaking (FCH JU)
Processed micro-tomographic scan of the ant Strumigenys sp gundlachi group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Inkjet-printed bipolar resistive switching device based on AgZnOAu structure
Processed micro-tomographic scan of the ant Plectroctena strigosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vicinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) was operated on board the German High Altitude and Long Range Research Aircraft (HALO) during the PGS (POLSTRACC/GW-LCYCLE/SALSA) aircraft campaigns in the Arctic winter 2015/2016. Research flights were conducted from 17 December 2015 until 18 March 2016 within 25–87°N, 80°W–30°E. From the GLORIA infrared limb-emission measurements, two-dimensional cross sections of temperature, HNO3, O3, ClONO2, H2O and CFC-12 are retrieved. During 15 scientific flights of the PGS campaigns the GLORIA instrument measured more than 15000 atmospheric profiles at high spectral resolution. Dependent on flight altitude and tropospheric cloud cover, the profiles retrieved from the measurements typically range between 5 and 14km, and vertical resolutions between 400 and 1000m are achieved. The estimated total (random and systematic) 1σ errors are in the range of 1 to 2K for temperature and 10% to 20% relative error for the discussed trace gases.
For a detailed description, discussion and validation of the data, please read: Johansson, S., Woiwode, W., Höpfner, M., Friedl-Vallon, F., Kleinert, A., Kretschmer, E., Latzko, T., Orphal, J., Preusse, P., Ungermann, J., Santee, M. L., Jurkat-Witschas, T., Marsing, A., Voigt, C., Giez, A., Krämer, M., Rolf, C., Zahn, A., Engel, A., Sinnhuber, B.-M., and Oelhaf, H.: Airborne limb-imaging measurements of temperature, HNO3, O3, ClONO2, H2O and CFC-12 during the Arctic winter 2015/2016: characterization, in situ validation and comparison to Aura/MLS, Atmos. Meas. Tech., 11, 4737-4756, https://doi.org/10.5194/amt-11-4737-2018, 2018.
GLORIA Chemistry Mode temperature and trace gas retrievals from the POLSTRACC/GW-LCYCLEII/GWEX/SALSA campaigns 2015/2016
Processed micro-tomographic scan of the ant Technomyrmex arnoldinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex hetschkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Department of Physical and Theoretical Chemistry, Faculty of Natural Sciences, Comenius University Bratislava
Institute of Catalysis Research and Technology, Karlsruhe Institute of Technology
Processed micro-tomographic scan of the ant Gnamptogenys aff relicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrechina flavipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code was used for the numerical experiments in the CRC 1173 Preprint 2023/2 (URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2023-2.pdf) by C. Carle and M. Hochbruck.
The scripts are intended to reproduce the figures from the preprint "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations" by Constantin Carle and Marlis Hochbruck ################################################################################ #### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.10 and the following version of its modules: numpy - 1.17.4 scipy dolfin (fenics) - 2019.2.0.dev0 (including mshr) matplotlib - 3.1.2 tikzplotlib - 0.9.6 pandas - 0.25.3 ################################################################################ #### Generation of figures For the generation of Figure Y, Y=1,2,3, either execute the Python script 'script_figY.py' in a suitable integrated development environment or run the command python3 script_figY.py in a terminal session. For the generation of Figure 4 first execute the Python script 'script_fig4_data.py' (via a suitable integrated development environment or in a terminal session) which generates and saves the data for the figure. To obtain the figure execute the script 'script_fig4_plot.py' (the script 'script_fig4_plot_single.py' generates a different view of the data). Additionally to the plots you can get the tikz-files which were used for generating the figures in the preprint by setting the Boolean variable 'write_tikz' from 'False' to 'True' at the beginning of the scripts. The scripts for Figure 1, 2, 4 run in parallel on all available processors. The number of used processors can be specified with the variable 'num_processors_max' (integer). - 1.3.3
Numerical experiments to "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations"
Institut für Experimentelle Teilchenphysik
Histograms with nominal and varied events
Data analysis objects for Measurement of Triple-Differential Z+Jet Cross Sections with the CMS Detector at 13 TeV
Forschungsdaten zur Publikation: N2-Physisorption (BET), TEM- / REM-Bilder, EDX-Analyse, XPS-Analyse, XRD-Analyse, FTIR-Analyse, Katalysatortests
Data available for N2 physisorption (pdf files), SEM (tif files or word documents), TEM (tif / png files, instrument specific data format), XRD (asc files or instrument specific software), catalytic data for syngas-to-dimethyl ether process (Excel files), XPS (Excel files), FTIR (Excel files)
Data to publication: N2 physisorption (BET), TEM and SEM images, EDX analysis, XPS analysis, XRD analysis, FTIR analysis, catalytic expriments
bifunctional catalysts syngas-to-dimethyl ether process model catalysts palladium / ceria nanoparticles IR spectroscopy
Research data to "Single-Step Synthesis of Dimethyl Ether from Syngas over Nanoparticle-Derived Bifunctional Pd/CeO2/Al2O3 Catalysts"
Processed micro-tomographic scan of the ant Tetramorium transversinode, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In der Dissertation "Timing Sensitive Dependency Analysis and its Application to Software Security" präsentiere ich neue Verfahren zur statischen Analyse von Ausführungszeit-sensitiver Informationsflusskontrolle in Softwaresystemen. Ich wende diese Verfahren an zur Analyse nebenläufiger Java-Programme, sowie zur Analyse von Ausführungszeit-Seitenkanälen in Implementierungen kryptographischer Primitive. In diesem VirtualBox Maschinen-Abbild stelle ich Implementierungen aller neuen Algorithmen dieser Dissertation bereit, zusammen mit randomisierten Test-Eigenschaften für alle formalen Observationen der Dissertation.
This is the artifact corresponding to the thesis "Timing Sensitive Dependency Analysis and its Application to Software Security" by Martin Hecker The Virtual Box virtual machine image ```dissertation-vm``` can be used by logging in via user: ```hecker``` password: ```hecker``` In the users home directory, you will find in * ```randomized-tests.git/``` — in the language Haskell — both implementations of the submission's algorithms, and randomized tests that verify the submission's Observations. * ```randomized-tests.git/src/test/Program/Properties/DissObservations.hs``` contains the randomized tests corresponding to the dissertations Observations. The results can be reproduces within the virtual machine image by help of the provided shell runners. From the users home directory, run * ```./randomized-tests``` to once run all randomized tests except those marked 'slow', which are randomized tests that may run several minutes some randomized inputs. * ```./randomized-tests-slow``` to once run all those randomized tests marked 'slow'. * ```./randomized-tests-forever``` or ```./randomized-tests-slow-forever``` to run the randomized tests forever, only terminating if there was found a counter-example to the submission's Observations.
In my thesis "Timing Sensitive Dependency Analysis and its Application to Software Security", I present new methods for the static analysis of timing sensitive information flow control in software systems. I apply these methods in the analysis of concurrent Java programs, as well as the analysis of timing side-channels in implementations of cryptographic primitives. In this VirtualBox machine image, I provide Implementations for all new Algorithms of my thesis, and randomized test properties for all formal Observations in the thesis.
Implementations of Algorithms from the Thesis "Timing Sensitive Dependency Analysis and its Application to Software Security"
There are 15 matlab data files in this folder. Matlab files titled "2D_vars_<simulation_name>_CCN" are 2D variables on an unprocessed grid Matlab files tiled "3D_CRH_vars_<simulation_name>_CCN.mat" are 3D variables averaged on CRH blocks via the second block averaging method (see Sec 3 of paper for description) Matlab files tiled "3D_CRH_vars_<simulation_name>_CCN_default_block_averaging.mat" are 3D variables averaged on CRH blocks via the traditional (Bretherton et al.,2005) block averaging method
# Micro Gas Turbine Data ## Overview These experimental data support the paper *"Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines", presented at 15th ACM International Conference on Future Energy Systems (e-Energy '24), Singapore.* The data was collected from a commercial micro gas turbine designed for residential use, generating approximately 3 kW of electrical power. Its purpose was to model the turbine's behavior over time using machine learning techniques. ## Folder Structure - `data`: Contains 8 experimental time series data in CSV format, collected from the micro gas turbine. - `plots`: Includes results from experiments and the code used to generate plots from the paper. - `plots/create_plots.ipynb`: A Jupyter notebook containing code to create the plots. ## Time Series Data Each time series represents a separate experiment where the input control voltage was varied over time, and the resulting output electrical power of the micro gas turbine was measured. The data has a resolution of approximately 1 second and is structured in a CSV file with the following columns: - `time`: Time in seconds, denoted as $t$. - `input_voltage`: Input control voltage in volts, representing the control signal $x_t$. - `el_power`: electrical power in watts, representing the output signal $y_t$. ## Prediction Task The data was used for a time-series prediction task, aiming to predict `el_power` based on `input_voltage`. In the paper, the objective was to forecast the output $y_t$ given the control inputs $x_t, x_{t-1}, \dots, x_{t-N+1}$. ### Additional Information Requirements for running `create_plots.ipynb`: - Python 3.8.17 - Jupyter Notebook 6.5.4 - Pandas 1.2.2 - Matplotlib 3.5.2 - Seaborn 0.12.2 **When using this dataset, please cite the following paper:** *Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, and Klemens Böhm. 2024. Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines, 15th ACM International Conference on Future Energy Systems (e-Energy '24), Singapore.* For more details and the code used in the experiments, visit the GitHub [repository](https://github.com/Energy-Theory-Guided-Data-Science/Gas-Turbine).
These are experimental data for the paper: Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, and Klemens Böhm. 2024. Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines, 15th ACM International Conference on Future Energy Systems (e-Energy '24), Singapore The data consist of: 1. experimental time series data collected from a micro gas turbine 2. results from the experiments and the corresponding code to create plots used in the paper The corresponding GitHub repository: https://github.com/Energy-Theory-Guided-Data-Science/Gas-Turbine
Experimental Data for the Paper "Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines"
Raw data: Mass spectrometry (MS), dynamic light scattering (DLS), residence time distribution (RTD), infrared spectra (IR), transmission electron microscopy images, i.e. scanning transmission electron microscopy - high angle annular darkfield detector (STEM-HAADF)
Raw data for publication "Continuous flow synthesis of atom-precise platinum clusters" in Nanoscale Advances, 2024, DOI: 10.1039/D4NA00074A
Raw data for Continuous Flow synthesis of Atom-Precise Platinum Clusters
Processed micro-tomographic scan of the ant Euprenolepis procera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dieser Datensatz ist im Rahmen des mFUND-Projekte "Umwelt- und lärmabhängige Steuerung von Streckenbeeinflussungsanlagen – U-SARAH" entstanden. Auf Basis von tatsächlich gemessenen Verkehrsdaten an mehreren Messquerschnitten und den angezeigten Schaltbildern wurde eine mikroskopische Verkehrsflusssimulation mit PTV Vissim erstellt und kalibriert. In der Simulation wurde das auf der Strecke aktive Steuerungsprogramm der Streckenbeeinflussungsanlage nachgebildet. Es wurden auf Basis des Handbuchs für Emissionsfaktoren des Strassenverkehrs (HBEFA) verschiedene Emissionen (NOx, PM, CO2) berechnet. Diese wurden in eine im Projekt erweiterte Steuerungslogik integriert. Zwei verschiedene Implementierungen wurden in der Simulation überprüft und die Differenz der Emissionen berechnet.
* Zeitschritt: Zeit, seit Beginn der Simulation in Minuten. 30 Minuten Vorlaufzeit nicht enthalten. * Querschnitt: Anzeige- und Messquerschnitt der SBA * q: Verkehrsstärke in Fahrzeugen pro Minute * v: mittlere Geschwindigkeit in km/h * Pkw: Personenkraftwagen * Lnf: leichte Nutzfahrzeuge * Lkw: Lastkraftwagen * 1: konventionelle SARAH-Steuerung * 2: U-SARAH-Steuerung Variante 1 * 3: U-SARAH-Steuerung Variante 2 * ∆Nox: Prozentuale Veränderung der Stickoxidemissionen je Zeitschritt (Vergleich der konventionellen SARAH-Steuerung mit der jeweiligen Variante der U-SARAH-Steuerung) * ∆PM: Prozentuale Veränderung der Feinstaubemissionen je Minute (Vergleich der konventionellen SARAH-Steuerung mit der jeweiligen Variante der U-SARAH-Steuerung) * ∆CO2: Prozentuale Veränderung der Kohlendioxidemissioen je Zeitschritt (Vergleich der konventionellen SARAH-Steuerung mit der jeweiligen Variante der U-SARAH-Steuerung)
mFUND - U-SARAH - BAB 5 - berechnete Emissionen auf Basis einer Verkehrsflusssimulation
Processed micro-tomographic scan of the ant Leptomyrmex darlingtoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cryptopone tengu, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data file contains the table of the infrared refractive indices for the β-NAD modification. It has three columns. First column: Wavelength in micrometer. Second column: Real refractive index (n). Third column: Imaginary refractive index (k). The data file can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data set for the research article "Particle shapes and infrared extinction spectra of nitric acid dihydrate crystals: Optical constants of the β-NAD modification" by Wagner et al. (2023) in Atmospheric Chemistry and Physics
These are the experimental data for the paper> Bach, Jakob. "Subgroup Discovery with Small and Alternative Feature Sets" The paper was accepted at the conference [SIGMOD 2025](https://2025.sigmod.org/). You can find the paper [here](https://doi.org/10.1145/3725358) and the code [here](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Subgroup Discovery with Small and Alternative Feature Sets" These are the experimental data for the paper> Bach, Jakob. "Subgroup Discovery with Small and Alternative Feature Sets" accepted at the conference [SIGMOD 2025](https://2025.sigmod.org/). Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the main experimental pipeline (`main_experiments/run_experiments.py`) took about 34 hours. Note that the current experimental data originate from two separate runs of the main experimental pipeline. In particular, we repeated the same experiments for two additional subgroup-discovery methods later, without rerunning the previously included methods. The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) except the subgroup-discovery methods *BSD* and *SD-Map* is [0a57bcd529](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/0a57bcd52938dce6285e8113d777360c2b17f30f) (tag: `run-2024-05-13`). The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) for the (additional) subgroup-discovery methods *BSD* and *SD-Map* is [50dd82e0fc](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/50dd82e0fcd175a4068ef4ce838dcacdc1045fc9) (tag: `run-2025-01-21-SIGMOD-2025`). However, the main experimental pipeline did not change between these two runs (except for refactorings and including the two additional subgroup-discovery methods). Thus, using the tag `run-2025-01-21-SIGMOD-2025` to reproduce all experiments should yield the same results (except runtimes and timeout-affected results). The commit hash for the last run of the main evaluation pipeline (`main_experiments/run_evaluation_sigmod.py`) is [8e8e1f5e54](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/8e8e1f5e54ac7644fc34f57cae2ad39b6fc1d453) (tag: `evaluation-2025-03-23-SIGMOD-2025`). The experimental data are stored in three folders, i.e., `datasets/`, `plots/`, and `results/`. Further, the console output of `main_experiments/run_evaluation_sigmod.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the main experimental pipeline `main_experiments/run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 27 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `main_experiments/prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. For the prediction target, we ensured that the minority (i.e., less frequent) class is the positive class (i.e., has the class label `1`), so the labeling may differ from PMLB. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `plots/` These are the output files of the evaluation pipeline `main_experiments/run_evaluation_sigmod.py`. We include these plots in our paper. ## `results/` These are the output data of the main experimental pipeline in the form of CSVs, produced by the script `main_experiments/run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `main_experiments/run_evaluation_sigmod.py`. The remaining files are subsets of the results, as the main experimental pipeline parallelizes over 27 datasets, 5 cross-validation folds, and 8 subgroup-discovery methods. Thus, there are `27 * 5 * 8 = 1080` files containing subsets of the results. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` (missing value if no feature-cardinality constraint employed) - solver timeout `param.timeout` (missing value if not solver-based search) - number of alternatives `param.a` (missing value if only original subgroup searched) - dissimilarity threshold `param.tau_abs` (missing value if only original subgroup searched) For each value combination of these seven columns, there is either one subgroup (search for original subgroups) or six subgroups (search for alternative subgroup descriptions, in which case the column `alt.number` identifies individual subgroups within a search run). Further, note that the last four mentioned columns contain missing values, which should be treated as a category on their own. In particular, if you use `groupby()` from `pandas` for analyzing the results and you want to include any of the last four mentioned columns in the grouping, you should either fill in the missing values with an (arbitrary) placeholder value or use the parameter `dropna=False`, because the grouping (by default) ignores the rows with missing values in the group columns otherwise. The remaining columns represent results and evaluation metrics. In detail, all result files contain the following columns: - `objective_value` (float `>= -0.25` + missing values): Objective value of the subgroup-discovery method on the training set. Usually quantifies WRAcc (in `[-0.25, 0.25]`) when searching original subgroups and normalized Hamming similarity (in `[0, 1]`) when searching alternative subgroup descriptions. First exception: The subgroup-discovery method *MORS* has missing values since *MORS* does not explicitly compute an objective when searching for subgroups. Second exception: The subgroup-discovery methods *BSD* and *SD-Map* use WRAcc times the number of data objects (a dataset-dependent constant) as objective, so the objective value is higher than for the remaining subgroup-discovery methods. - `optimization_status` (string, 2 different values + missing values): For *SMT*, `sat` if optimal solution found and `unknown` if timeout. Missing value for all other subgroup-discovery methods (which do not use solver timeouts). - `optimization_time` (non-negative float): The optimization runtime (in seconds) inside the subgroup-discovery method, i.e., without pre- and post-processing steps. - `fitting_time` (non-negative float): The complete runtime (in seconds) of the subgroup-discovery method (as reported in the paper), i.e., including pre- and post-processing steps. Very similar to `optimization_time` except for *SMT* as the subgroup-discovery method, which may spend a considerable amount of time formulating the optimization problem. - `train_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the training set. - `test_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the test set. - `train_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the training set. - `test_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the test set. - `box_lbs` (list of floats, e.g., `[-inf, 0, -inf, -2, 8]`): The lower bounds for each feature in the subgroup description. Negative infinity if a feature's lower bound did not exclude any data objects from the subgroup. - `box_ubs` (list of floats, e.g., `[inf, 10, inf, 5, 9]`): The upper bounds for each feature in the subgroup description. Positive infinity if a feature's upper bound did not exclude any data objects from the subgroup. - `selected_feature_idxs` (list of non-negative ints, e.g., `[0, 4, 5]`): The indices (starting from 0) of the features selected (= restricted) in the subgroup description. Is an empty list, i.e., `[]`, if no feature was restricted (so the subgroup contains all data objects). - `dataset_name` (string, 27 different values): The name of the `PMLB` dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 8 different values): The name of the subgroup-discovery method (`Beam`, `BI`, `BSD`, `MORS`, `PRIM`, `Random`, `SD-Map`, or `SMT`). - `param.k` (int in `[1, 5]` + missing values): The feature-cardinality threshold for subgroup descriptions. Missing value if unconstrained subgroup discovery. Always `3` if alternative subgroup descriptions searched. - `param.timeout` (int in `[1, 2048]` + missing values): For *SMT*, solver timeout (in seconds) for optimization (not including time for formulating the optimization problem). Missing value for all other subgroup-discovery methods. - `alt.hamming` (float in `[0, 1]` + missing values): Normalized Hamming similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.jaccard` (float in `[0, 1]` + missing values): Jaccard similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.number` (int in `[0, 5]` + missing values): The number of the current alternative if alternative subgroup descriptions searched. Missing value if only original subgroup searched. Thus, original subgroups either have `0` or a missing value in this column (i.e., for experimental settings where alternative subgroup descriptions searched, there is no separate search for an original subgroup, only a joint sequential search for original and alternatives). - `param.a` (int with value `5` + missing values): The number of desired alternative subgroup descriptions, not counting the original (zeroth) subgroup description. Missing value if only original subgroup searched. - `param.tau_abs` (int in `[1, 3]` + missing values) The dissimilarity threshold for alternatives, corresponding to the absolute number of features that have to be deselected from the original subgroup description and each prior alternative. Missing value if only original subgroup searched. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the columns `box_lbs`, `box_ubs`, and `selected_feature_idxs` (which represent lists and whose values are quoted except for empty lists). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as lists (rather than plain strings): ```python import ast results['selected_feature_idxs'] = results['selected_feature_idxs'].apply(ast.literal_eval) ``` Note that this conversion does not work for `box_lbs` and `box_ubs`, where the lists not only contain ordinary numbers but also `-inf`, and `inf`; see [this *Stack Overflow* post](https://stackoverflow.com/questions/64773836/error-converting-string-list-to-list-when-it-contains-inf) for potential alternatives.
Experimental Data for the Paper "Subgroup Discovery with Small and Alternative Feature Sets"
Processed micro-tomographic scan of the ant Temnothorax kubira, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset contains measurements of magnetic susceptibility in dependence of temperature of shocked magnetite and of a natural magnetite single crystal before and after manual crushing. A python code for evaluation of low-temperature susceptibility curves is included. The data are supplementary to: Fuchs, H., Kontny, A. and Schilling, F.R., 2024. Stress-induced Changes in Magnetite: Insights from a Numerical Analysis of the Verwey Transition, Geophysical Journal International
The data set contains k-T curves of - Initial magnetite ore from Sydvaranger mine (Norway) - the same ore after shock at 3, 5, 10, 20 and 30 GPa under laboratory conditions and after subsequent heating to 973 K -Natural magnetite single crystal (initial and after manual crushing) The data set contains a python code for evaluation of normalized low-temperature k-T curves. Experimental conditions are described in [1]. The approach for k-T curve evaluation is described in [2] [1]: Kontny, A., Reznik, B., Boubnov, A., Göttlicher, J. and Steininger, R., 2018. Postshock Thermally Induced Transformations in Experimentally Shocked Magnetite, Geochemistry, Geophysics, Geosystems, Vol. 19, 3, pp. 921–931, doi:10.1002/2017GC007331. [2] Fuchs, H., Kontny, A. and Schilling, F.R., 2024. Stress-induced Changes in Magnetite: Insights from a Numerical Analysis of the Verwey Transition, Geophysical Journal International
Supplementary Data - Stress-induced Changes in Magnetite: Insights from a Numerical Analysis of the Verwey Transition
X-ray tomographic data of a fossil Archaeopteryx (SMNK-PAL 10,000a-c (Karlsruhe specimen)) described in Foth et al. 2024. The archive contains scans of 1) right arm, 2) right hindlimb, 3) fragments of left humerus, 4) fragments of left radius & ulna, and 5) left hindlimb. To facilitate data handling, the original tomograms were converted to eight bits and cropped to the regions of interest.
X-ray, tomography, CT, fossil, Archaeopteryx, Urvogel, Jurassic
Processed micro-tomographic scan of the ant Nylanderia okm03, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster subterranea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex gracilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Das Simulationsmodell kann dazu genutzt werden Erkenntnisse zum Zusammenhang zwischen Gestaltparametern und radialen Schwingungen zu untersuchen. Zur Erzeugung von anwendungsnahen Ergebnissen ist eine Parametrierung auf den gegebenen Anwendungsfall erforderlich.
Simulationsmodell eines in einem Polymergehäuse und Elastomerring gelagerten Antriebsstrangs mit Kegelradgetriebe
Research Centre for School Sports and the Physical Education of Children and Young Adults
On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Centre for School Sports and the Physical Education of Children and Young Adults. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
Processed micro-tomographic scan of the ant Pogonomyrmex pima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU), Karlsruher Institut für Technologie (KIT), Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
This dataset is formatted as a GeoPackage (.gpkg) and contains a layer named "prediction". It is set within the ETRS89 / UTM Zone32N coordinate reference system (EPSG code specified). The dataset includes two key attributes: (a) "id" as a unique identifier for each feature, and (b) the "prediction_class". The latter attribute indicates the area's suitability, with a classification of 0 for unsuitable and 1 for suitable. This information is helpful for various applications, including environmental studies and land utilization strategies. Besides, a QGIS style layer is given "prediction_parking_pv_hesse.qml". This file is designed to visually distinguish between parking lots classified as suitable and unsuitable for PV canopy installations in the dataset "prediction_parking_pv_hesse.gpkg". The symbology is defined as follows: class 0 (unsuitable): Red fill, and class 1 (suitable): Green fill. The style enhances the readability for map viewers and supports the quick visual interpretation of suitability categories. It can be directly applied to the prediction layer in QGIS for consistent thematic mapping.
This dataset provides a geospatial classification of large parking lots (greater than 900 m²) in the federal state of Hesse, Germany, evaluating their suitability for photovoltaic (PV) installations. The parking lot geometries were derived from two authoritative and open sources: the Authoritative Topographic-Cartographic Information System (ATKIS) and OpenStreetMap (OSM). Duplicates were removed, and the geometries were trimmed to match the boundaries of Hesse. Parking lots smaller than 900 m² were excluded to align with current policy guidelines and technical feasibility thresholds for PV canopy installations. Each parking lot was classified into one of two categories employing machine learning. Class 0 indicates parking lots unsuitable for PV, while Class 1 designates those suitable for PV installations. The classification utilized an XGBoost model trained on more than 1,000 manually labeled parking lots using various input features.
Plain text files with data shown in Fig. 4 and Fig. 10
Data related to "Dielectric waveguide setup tested with a superconducting millimeter-wave Fabry-Pérot interferometer at milli-Kelvin temperatures"
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
Nickel-rich stoichiometries such as NMC811 have gained increasing relevance for lithium-ion-batteries in recent years due to their high specific capacity and reduced use of critical resources. However, low intrinsic electronic conductivity of NMC active materials makes the use of carbon-based additives necessary. Volume fraction and distribution of the carbon-binder-domain (CBD) have a significant impact on the electrode performance. This work combines high-resolution tomography and microstructure-resolved simulations to characterize the three-dimensional transport networks of a commercial NMC811 cathode. FIB-SEM tomography reveals that low CBD volume fractions with suboptimal distribution cause a non-percolating conductive network in the microstructure and thus unfavourably low electronic conductivity. Increasing the CBD content through virtual electrode design enables percolation and enhances electronic conductivity fundamentally. Simulations on both the real and virtually designed structures demonstrate how percolating CBD networks lead to a significantly improved energy density.
Full research data is provided for figures 2c, 3, 5, S2, S3 and S4. Large 3D datasets are available upon request. Discharge curves (experimental and simulation) are provided with cell potential, time and areal discharge capacity.
Research Data if the Publication "Analyzing and improving conductive networks in commercial high-energy Ni-rich cathodes"
Processed micro-tomographic scan of the ant Veromessor pergandei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set comprises CFC-12 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-12_61), RR-NOM (2005 - 2012, F-12_261), RR-UTLS-1 (2005 - 2007, F-12_161), and RR-MA (2005 - 2012, F-12_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS CFC-12 R-12 Freon 12 Dichlorodifluoromethane
Version 8 IMK/IAA MIPAS measurements of CFC-12: the data set
Processed micro-tomographic scan of the ant Tetraponera allaborans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothriomyrmex corsicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0026, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0026 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Plagiolepis pygmea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus helvolus pretoriae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetagroicus inflatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus sibiricus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ochetomyrmex semipolitus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data repository contains the raw data of the dissertation "Performance Analysis and Capacity Planning of Multi-stage Stochastic Order Fulfilment Systems with Levelled Order Release and Order Deadlines" by Uta Mohring. The data repository contains a separate folder for each sample: A1, A2, B, C, D, E, F, G.
Supplementary materials of the dissertation "Performance Analysis and Capacity Planning of Multi-stage Stochastic Order Fulfilment Systems with Levelled Order Release and Order Deadlines"
This code was used for the numerical experiments in the revised preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "Exponential integrators for quasilinear wave-type equations" by B. Dörich and M. Hochbruck.
This program is intended to reproduce the results from the preprint "Exponential integrators for quasilinear wave-type equations" by Benjamin Dörich and Marlis Hochbruck The codes generates the lines in Figure 1 ##################################################################################### The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: numpy - 1.15.4 scipy - 1.4.1 dolfin - 2018.1.0 fenics - 2018.1.0 matplotlib - 3.2.1 tikzplotlib - 0.9.6 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: numpy - 1.19.2 scipy - 1.5.1 dolfin - 2019.2.0.dev0 fenics - 2019.2.0.dev0 matplotlib - 3.3.2 tikzplotlib - 0.9.4 ##################################################################################### In the folder "DoeH21_quasilinear" open a console and run the following commands after each other. 1) Run "python3 1_generate_initial_matrices.py" 2) Run "python3 2_paper_run_reference_solution.py" 3) Run "python3 3_paper_run_Euler.py" 4) Run "python3 4_paper_run_midpoint.py" ##################################################################################### After running the calculations, the errors can be found in the folder "preprint_DoeH21_quasilinear/extracted_data/". (a) settings_* contains the information of the config file (b) infos_* contains the computed errors (c) plot_* contains a tikz-file which gives the plot for the Euler and the midpoint rule separately.
Numerical experiments to "Exponential integrators for quasilinear wave-type equations" (updated version)
Processed micro-tomographic scan of the ant Leptogenys unistimulosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Manica yessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plectroctena mandibularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes betoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0023, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0023 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This repository provides different artifacts developed in and used for the evaluation of the dissertation "Building Transformation Networks for Consistent Evolution of Interrelated Models". It serves as a reproduction package for the contributions and evaluations of that thesis. The artifacts comprise an approach to evaluate compatibility of QVT-R transformations, evaluations of interoperability issues in transformation networks and approaches to avoid them, a language to define consistency between multiple models, and an evaluation of this language. The package contains a prepared execution environment for the different artifacts. In addition, it provides a script to run the environment for some of the artifacts and automatically resolve all dependencies based on Docker.
Reproduction Package for the Dissertation on Building Transformation Networks for Consistent Evolution of Interrelated Models
### General Information This repository contains research data contributing to the Advanced Materials publication "Fused-silica 3D chiral metamaterials via helium-assisted micro-casting supporting topologically protected twist edge resonances with high mechanical quality factors" by J. Köpfler, T. Frenzel, J. Schmalian, and M. Wegener. ### Folder structure: #### Fabrication - contains the 3D printing files for the microstructure casts and a file that was used to design the 3D microcast - contains the digital microscope images and the data table that was used to determine the geometrical dimensions of the fused-silica microstructures #### Calculations - contains the files for the FEM-calculations of the band structure, eigenmodes and resonances of the microstructure with the determined geometrical dimensions - contains files for comparison of the calculated band structure with the measured resonance data #### Experiments - contains the image series that were acquired during the frequency sweeps to determine the resonances of the polymer forks, fused-silica tuning forks, the fused silica 3D chiral microstructure, and the excitation of the piezo actuator at the microstructure bottom plate - contains the scripts to extract displacement data and generate the resonance plots etc. ### Experimental data treatment: Image cross-correlation was performed using the "grid\_generator\_" functions on the digital images, followed by the "automate\_images\_" functions. The resulting datasets "validx.dat" and "validy.dat" for the tracked x- and y-displacements are loaded, processed, collected, and plotted via the specific "combine\_parts\_" functions in the individual measurement folders. Details can be found in the "paper_contribution.txt" files in the individual folders.
Contributing research data to: Fused-silica 3D chiral metamaterials via helium-assisted micro-casting supporting topologically protected twist edge resonances with high mechanical quality factors
Processed micro-tomographic scan of the ant Pseudomyrmex ferrugineus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera coeca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
PtOOH MLFF-MD Thermodynamic Integrations
Processed micro-tomographic scan of the ant Anillomyrma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Documents: -Design of Experiments: Information about the toolpaths and technological Parameters of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders sorted by material. In the next level, the individual executions are located. The individual recordings are stored in the form of a JSON (internal machine data) and a Matlab file (external force sensors). These consist of a header with all relevant information such as the signal sources followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine -Tools: Product informations of tools used -Workpieces: Pictures of the workpieces Experimental data: -Machine: Retrofitted DMC 60H -Material: S235JR, AL 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
Ziel des Datensatzes ist das Training und die Validierung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse. Dazu wurden an einer DMC 60H Prozesse mit einer Abtastrate von 500 Hz durch eine Siemens Industrial Edge aufgezeichnet und in einer JSON-Datei gespeichert. Die Maschine wurde steuerungstechnisch nachgerüstet und mit Kraftsensoren (Kistler 9255C) zur Erfassung der Prozesskräfte ausgestattet. Die Kräfte wurden mit einer Abtastrate von 10 kHz aufgezeichnet und in einer Matlab-Datei gespeichert. Insgesamt wurden drei verschiedene Geometrien abgebildet, ein Zahnrad, eine Nut und die Form einer Adapterplatte. Diese wurden sowohl für die Bearbeitung von Stahl als auch von Aluminium verwendet. Zusätzlich wurden für jede der drei Grundgeometrien Variationen im Prozess durchgeführt, indem die Eingriffstiefe, die Geschwindigkeit sowie die Spindeldrehzahl (siehe NC-Codes) verändert wurden.
The aim of the dataset is the training and validation of models for the prediction of time series for milling processes. For this purpose, processes were recorded on a DMC 60H with a sampling rate of 500 Hz by a Siemens Industrial Edge and saved in a JSON file. The machine was retrofited and equipped with force sensors (Kistler 9255C). The forces were recorded at a sampling rate of 10 kHz and saved in a Matlab file. A total of three different geometries were milled, a gear, a notch and a plate. These were used for the machining of both steel and aluminium. In addition, variations were made in the process for each of the three basic geometries by changing the depth of cut, the feedrate and the spindle speed (see NC codes).
Part series dataset of milling processes for time series prediction
Python code for analyzing the fluorescence of GFP immobilized on agarose beads from microscopy images.
Phytoncode used in: „Enhanced Enzyme Immobilization Using a Novel Agarose‐binding Tag Leads to Improved Flow Reactor Performance"
Processed micro-tomographic scan of the ant Pheidole valens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der DMT wurde an 3 Augsburger Grundschulen mit jeweils 2 Klassen durchgeführt.
Processed micro-tomographic scan of the ant Brachyponera nr obscurans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Protanilla lini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data associated to the research entitled "Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) using Borehole Distributed Acoustic Sensing" published in Sensors – MDPI with following doi: 10.3390/s24103061 (Azzola and Gaucher, 2024). The folder contains the MiniSEED data files corresponding to the unfiltered DAS data for both seismic events studied in Azzola and Gaucher (2024), and the processing scripts used on local and cloud workstations for event detection and description. The folder also contains the associated python libraries. Additional details are included to the README text file. Author: Jerome Azzola [KIT], jerome.azzola@kit.edu
Data from Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) using Borehole Distributed Acoustic Sensing
Benchmark Dataset for "Industrial Demand-Side Flexibility: A Benchmark Data Set" ====================================================== The archive on hand contains a set of benchmark instances for time-flexible industrial processes, with regard to power demand. It also includes some auxiliary data, such as baseline solutions to the instances as well as some intermediate data that the instances were generated from. Instances --------- The instances can be found in the 'instances' subfolder. Every JSON file contains one instance. See the 'instance_file_format.{md, html, pdf}' files for a specification of the file format. The file format is suitable to be used with the TCPSPSuite optimization software [2]. In [1], Section 4, we list various parameters that influence the generation of instances. The parameter settings that were active for each instance are stored in the **additional** field of the instance. For example, the `generator__window_mean` key in the **additional** field specifies the window growth mean parameter. Also, we performed a grouped generation of instances, as explained in Section 4.1 of [1], meaning for every instance with `generator__block_count` of k, there are other instances with different values for `generator__block_count`, such that there is a one-to-one correspondence between their jobs. Each such group has a unique `group_id` in the **additional** field. To identify which jobs correspond to each other across instances in the same group, the `superjob_id` key in the **additional** field of each job can be used. For instances with `generator__block_count` of more than 1, all blocks (i.e., jobs) of the same job will have the same `superjob_id`, thus the `superjob_id` can also be used to identify which jobs are the blocks of the same non-constant job. Baseline Results ---------------- In the 'results' subfolder, we provide the solutions that we were able to compute on all instances. The file 'results/results.csv' lists the numeric results, one line per instance. We report the quality of the best found solution as well as the best lower bound, and computed from that the MIP gap. In the 'results/solutions' subfolder, the actual schedules computed for each instance are included. The file format is the same as the instance file format, with some fields stripped out, and an additional **start_time** field for each job that reports the start time for the respective job. Occurrence Block Decomposition ------------------------------ In 'decompositions/decompositions.csv', you find the decompositions of the motif occurrences we detected. Unfortunately, we are not able to publish the raw time series data itself. However, a subset of the raw input data (without discovered motifs) is available as the HIPE data set [3][4]. The decomposition file format is as follows: Every line corresponds to one occurrence. The first column specifies the motif that the occurrence belongs to. The second column indicates the start time with minute resoulution, i.e., "600" would be a start at 10 a.m. The remaining columns are titled "Energy A / B" or "Duration A / B". Each such columns specifies the amount of energy resp. the duration of the Ath block in a decomposition into B blocks of the occurrence. E.g., "Energy 3 / 6" would indicate the amount of energy consumed during the third block in a six-block decomposition of the corresponding occurrence. References ---------- [1] Nicole Ludwig, Lukas Barth, Dorothea Wagner, and Veit Hagenmeyer. 2019. Industrial Demand-Side Flexibility: A Benchmark Data Set. In Proceedings of ACM e-Energy (e-Energy ’19). ACM, New York, NY, USA. [2] https://github.com/kit-algo/TCPSPSuite [3] Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, and Klemens Böhm. 2018. HIPE – an Energy-Status-Data Set from Industrial Production. In Proceedings of ACM e-Energy (e-Energy ’18). ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3208903.3210278 [4] https://www.energystatusdata.kit.edu/hipe.php
Benchmark Dataset for "Industrial Demand-Side Flexibility: A Benchmark Data Set"
Die Datei im txt-Format enthält das Skript, geschrieben mit der Software "Arduino", welches die Funktionen des in dem zugehörigem Zeitschriftenaufsatz präsentierten automatischen Fluid-Probenehmers "GUARD" steuert. Durch gezielte Änderung der entscheidenden Parameter in diesem Skript können die Funktionen des Probenehmers in gewissen Grenzen auf die Anforderungen des jeweiligen Anwenderkreises angepasst werden.
The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)). The domains each contain image data with and image data without surface defects. The surfaces differ, but the defect features are similar across the domains. The dataset is thus suitable for investigating questions in the context of domain shift, domain generalization, and transfer learning. The dataset is structured as follows: BSD with defect (5240); BSD without defect (1896) SEV with defect (2018); SEV without defect (21806). Attention: The Domains are not balanced over classes. The SEV images are each 224x224 pixel RGB PNG files. THE BSD images are each 150x150 pixel RGB PNG files. The SEV data are excerpts from the Severstal dataset.
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
Processed micro-tomographic scan of the ant Mesoponera ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor striatifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex piraticus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
EDL - Low-frequency Noise Characteristics of Inkjet-Printed Electrolyte-gated Thin-Film Transistors
These codes use the MATLAB programming language.
Codes to generate the numerical examples in the publication ”Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling”. These codes use the MATLAB programming language.
Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling - Codes
Karlsruhe Institute of Technology, IMK-ASF
During World War II, the German Kriegsmarine and Luftwaffe operated between 1941 and 1945 a series of weather stations in Svalbard to obtain information on synoptic weather situations in the Arctic. These activities included also some of the first automatic weather stations. With a few exceptions, the meteorological observations from these military stations are considered as lost. Most of these observations could now be retrieved from weather maps of the German “Zentrale Wetterdienstgruppe” (ZWG) that are preserved in the archive of the Deutsche Wetterdienst. Reports of surface pressure and temperature have been digitized for the military weather stations “Bansö” in 1941/42, “Knospe” in 1941/42, “Nussbaum” in 1942/43, “Kreuzritter” in 1943/44, “Svartisen” 1943/44, as well as some automatic weather stations operated on Svalbard. This data set contains station data of surface temperature and sea level pressure in Station Exchange Format (SEF).
Historical meteorological observations from military weather stations on Svalbard, 1941-1944
The package includes a README.md file which contains installation instructions and instructions on how to use the provided scripts
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging with a depth dependent background velocity.
The Numerical Scheme of Approximate Inverse for 2D Linear Seismic Imaging - Software Package
Processed micro-tomographic scan of the ant Forelius pusillus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex peltatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Information about the content can be found on page 187 of the dissertation.
Processed micro-tomographic scan of the ant Veromessor lariversi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Material and Equipment: A high-temperature test cell (HTT Cell, PAT series test cell type, EL-Cell GmbH) was used for all experiments. Electrodes were purchased from CustomCells Itzehoe GmbH. The negative electrode has an area capacity of 2.2 mAh cm-2 with the following loading: 96 wt% SMG104 graphite active material, 2607SMG104. The capacity of the active material is 350 mAh g-1. It contained further styrene-butadiene-rubber/carboxymethyl cellulose (SBR/CMC) and conductive additives, all applied on copper foil; the positive electrode has an area capacity of 2.0 mAh cm-2, with the following loading: 93.5 wt% NMC 622 active material, K-771, capacity of the active material is 160 mAh g-1. It further contained polyvinylidene fluoride and conductive additives, all applied on aluminum foil. EC:DMC electrolyte (1:1 / v:v,1 M LiPF6, battery grade, Sigma Aldrich) was used. All electrodes were punched out to receive sheets with a uniform diameter of 18 mm. Their weight was measured (XS205, Mettler Toledo), and they were dried overnight at 120 °C under high vacuum before being transferred into an Ar glovebox (water and oxygen content under 0.1 ppm). All capacities were calculated based on the measured weight of the assembled electrodes. The separator compositions were as follows: borosilicate glass (Whatman GF/A, porosity 91%, thickness 260 mum, m.p. > 300 °C), polyethylene terephthalate/Al2O3 (Viledon FS 3005-25, porosity 55%, thickness 25 mum, m.p. ~250 °C), polypropylene (Celgard 4560, porosity 55%, thickness 110 mum, m.p. ~150 °C), and polytetrafluoroethylene (Omnipore JVWP04700, porosity 88%, thickness 30 mum, m.p. ~300 °C). The HTT test cells contain the four separators mentioned above as sheets with a diameter of 21.6 mm. The cells were assembled in a glovebox under an Ar atmosphere, according to literature.[36] Temperature-stable separator housings and sealing ring materials made of polyether ether ketone (PEEK) were used for the selected temperature range. Gases used for calibration were purchased from Air Liquide or Westfalen AG. The quantities and purities of the gases were: Ar (99.999%); calibration gas 1: Ar (main component, 99.999%), CH4 (5025 ppm, 99.5%), C2H4 (5025 ppm, 99.5%) and CO2 (5025 ppm, 99.5%); calibration gas 2: Ar (main component, 99.999%), H2 (5005ppm, 99.999%), CO (4991 ppm, 99.0%) and O2 (4700 ppm, 99.999%). Chemicals used for calibration were purchased and used and without further purification: dimethyl carbonate (99% dry, Acros Organics), Lithium hexafluorophosphate (99.99%, Sigma Aldrich), and Lithium peroxide (95%, ABCR). The conductive salt decomposition gas POF3 is calibrated. Setup for Temperature-induced Stress Test and Electrochemical characterization: The operando electrochemical and gas analysis setup couples a potentiostat and mass spectrometer. The HTT cell (EL-Cell) connects the lithium-ion battery with quick connectors with a heated transfer line and the mass spectrometer (MS, Omnistar GSD 320, Pfeiffer Vacuum). The parameters of the mass spectrometer are: Parameter Value Multiple Ion Detection (MID) m/z: 2, 16, 18, 26, 27, 28, 30, 32, 36, 44, 67, 69, 77, 78, 85, 88, 90, 104, 107, 118, 126, 155 Energy of the electron beam 70 eV Detector C-SEM Capillary temperature 200 °C Input heating 120 °C Scan rate 500 ms Ar flow rate 0.65 mL min-1 The heating profile of the HTT cell during temperature-induced stress test are: Parameter Value Start temperature 25 °C Heating rate 2 °C min 1 Test temperature 132 °C Hold temperature at test temperature while recording the open-circuit voltage 60 min End temperature 25 °C All assembled cells were cycled with a Gamry potentiostat (5000 E) in a self-built temperature chamber at 25 °C in the voltage range between 3.0 V and 4.2 V. The cycling procedure was identical for all experiments is as follows: Parameter Value Temperature 25 °C Rest time 6 h Formation, 1 cycle C/10 Heating step after formation starts at ~3.7 V (~SOC 50%) OCV for 10 h Cycle after temperature induced stress test C/10 Charge / Discharge CC+CV / CC U(cut-off) 4.2 V / 3.0 V For more information about experimental details, see in the Experimental Section in the manuscript and the Supporting Information.
Separators in lithium-ion batteries are considered to be (electro-)chemically inert to typical operating conditions. Yet, temperature abuse tests at elevated temperatures of ca. 60 to 132 °C show that the choice of separator material has a decisive influence on battery behavior and degradation. Using online electrochemical mass spectrometry, we analyzed the evolution of cell voltage and gas products during and after thermal abuse for different separators. Polypropylene and polytetrafluoroethylene seem stable, whereas glass fiber and polyethylene terephthalate separators were reactive and caused additional gas release. Polyethylene terephthalate produced significantly more gas, and the separator failed mechanically, causing unreproducible and drastic performance losses. The CO2 content of polyethylene terephthalate separator is four times higher than that of glass fiber. Yet, a five times higher amount of POF3 was detected for glass fiber. The evolved gas amounts of CO2 or POF3 were modest for polypropylene and polytetrafluoroethylene.
Online electrochemical mass spectrometry
Impact of Lithium-Ion Battery Separators on Gas Evolution during Temperature Abuse
Column amounts of atmospheric HCOOH recorded by the FTIR stations Kiruna and Izana in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC). The Izana dataset covers 1999 to 2015, the Kiruna dataset covers 1996 to 2015.
Messungen der Gesamtsäulengehalte von HCOOH in der Erdatmosphäre, gewonnen an den FTIR-Stationen Kiruna und Izana des NDACC (Network for the Detection of Atmospheric Composition Change). Der Izana Datensatz umfasst Messungen von 1999 bis 2015, der Kiruna Datensatz umfasst Messungen von 1996 bis 2015.
This dataset reports total atmospheric columns of HCOOH, derived from solar absorption spectra recorded at the FTIR stations Izana and Kiruna, operated in the framework of the NDACC (Network for the Detection of Atmospheric Composition Change). The data and the associated detailed data descriptions are reported as ASCII files.
Column amounts of atmospheric HCOOH recorded by the FTIR stations Kiruna and Izana in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC)
Processed micro-tomographic scan of the ant Neivamyrmex pilosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sachalinensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Using this Mathematica, we have produced the numerical data of the elastocaloric change for several different cases considered in the paper.
Data for 'Elastic Quantum Criticality in Nematics and Altermagnets via the Elasto-Caloric Effect''
This dataset contains the electrochemiluminescence (ECL) signal measurements obtained during multiplexed detection modification gold electrodes. It includes raw and processed data showing ECL intensity profiles between modified and unmodified electrode regions, supporting the enhanced signal performance and multiplexing capability of the developed platform.
Processed micro-tomographic scan of the ant Strongylognathus destefanii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
- ICON-ART raw data for experiments 'Reference' (Hunga_ref.tar.gz) and 'noH2Ochem' (Hunga_noH2Ochem.tar.gz) - data to the figures: plume_development_maps.tar, plume_development_time.tar, plume_development_time_height.tar
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 1/3)
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)
Institut für Kolbenmaschinen (IFKM), Karlsruher Institut für Technologie (KIT)
Der Umgang mit Ressourcen in Unternehmen ist ein Bereich, indem Nachhaltigkeit als Handlungskon-zept wirksam wird. Bei unternehmerischer Nachhaltigkeit geht es vor allem um die Minimierung des langfristigen Ressourcenbedarfs ihrer Produkte und Dienstleistungen. Der gesamte Produktlebenszyklus ist nachhaltigkeitsrelevant. Nachhaltige Produkte sollen rechtlich einwandfrei, wirtschaftlich sinnvoll, wettbewerbsfähig und umweltfreundlich sein. Ein Weg dazu sind umweltschonende Verfahren. Ziel ist, weniger Ressourcen zu verbrauchen als bei der Rückgewinnung wiederverwendet werden können. Das gelingt zum Beispiel durch Recycling, Upcycling oder innovative Ideen im Ökodesign. Hierfür gibt es in Deutschland und der EU rechtlich verbindliche Kennzeichnungssysteme und anerkannte, freiwillige Öko- bzw. Biozertifikate. Beim nachhaltigen Umgang mit Ressourcen soll mit möglichst wenig Material- und Energieeinsatz eine gute Ökobilanz erreicht werden.
Die Folien sind im Rahmen des von der Deutschen Bundesstiftung Umwelt geförderten Projektes NaProIng (Nachhaltige Produktentwicklung für Ingenieure) als Lernmaterialien entwickelt worden und bilden den gleichen Inhalt wie die zugehörigen gleichnamigen Kurzfilme ab.
Cubic-symmetry acoustic metamaterials with roton-like dispersion relations
# Readme This archive contains the experimental results for the SWJ Paper. Large Files and subdirectories are zipped. Raw data includes tab-separated files (.tsv) and JSON (.json) files. ## Files - `statistical_similarity_measures_per_sample`: Statistical Similarity Measures aggregated on the level of Samples. - `structural_similarity_measures_per_sample`: Structural Similarity Measures aggregated on the level of Samples. - `fedbench_datasets_statistics`: General Statistics of the datasets from FedBench used in the experiments. - `characteristic_sets_all_samples`: All individual characteristic sets obtained from the samples. - `fedbench_results_complete`: All evaluation metrics for all FedBench Queries per CSPF from each sample. Aggregated similarity measures are included as well. - `cspf_statistics`: Directory containing all estimated (and complete) CSPF estimations used by the Query Planner
Supplemental Material to the SWJ Journal Submission "Characteristic Sets Profile Feature: Estimation and Application to SPARQL Query Planning"
Processed micro-tomographic scan of the ant Neivamyrmex aff Jerrmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eburopone afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole biconstricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys incerta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains the datasets used in the study 'The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests'. Detailed information and technical aspects of the data can be found in there. In case more information about the data structure is needed, the folders contain an additional Readme file.
Datasets to: The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests
The archaeal proton pump bacteriorhodopsin uses sunlight to build up a proton gradient across the cell membrane. The mechanism of energy conversion is based on a well investigated photocycle. Despite over 45 years of research on this bioenergetical model system, there is still little information available about the last step of the photocycle: the O→ground (bR) state transition. It is merely assumed that a long-range proton transfer recovers the bR state of bacteriorhodopsin. This work aims to shed further light on the mechanistic details and thermodynamic/kinetic features of the O→bR transition. In order to achieve this, computational methods were used as a viable complement to the experiment since the handling of membrane proteins and the targeted objectives pose a quite involved task to experimental techniques. Initially, structural models for the O, bR and the O* intermediate state were obtained by employing enhanced sampling molecular dynamics simulations. For the simulation of the (long- range) proton transfer reactions, a hybrid QM/MM setup based on the semiempirical quantum chemistry method DFTB3 and the CHARMM36 force field was used. The change of Gibbs free energy associated with the proton transfer was resolved by employing free energy techniques with an advanced reaction coordinate based on the center of excess charge representation. The results indicate that the O→bR conversion represents a slightly exergonic process in which the O* state constitutes a metastable intermediate. Concerning the proton transfer pathway, an interesting finding was made: The long-range proton transfer is accomplished via a proton hole/in- verse Grotthuss mechanism. Moreover, this charge transfer is accompanied by the reorientation of a functionally important, positively charged arginine side chain as well as by the formation of the proton release group. In the course of these studies, DFTB3 was furthermore benchmarked for proton transfer reactions. The method proved to be efficient for the description of these reactions with a small tendency to underestimate reaction barriers. In order to correct for this error, which results from missing short-range Pauli repulsion in DFTB3, the empirical Delta-Pauli correction was developed. However, until now, there were no parameters available for this model. Hence, in this work the first parameter set for CHNO-based molecular systems was derived and benchmarked on relevant organic/biomolecular systems. The results show that Delta-Pauli successfully introduces short-range Pauli repulsion to DFTB3. As a consequence, Delta-Pauli improves the description of molecular systems regarding non-covalent interactions, inter- as well as intramolecular reaction barriers and equilibrium geometries.
Die archaeale Protonenpumpe Bacteriorhodopsin nutzt Sonnenlicht um einen Protonengradienten über der Zellmembran aufzubauen. Der Mechanismus der Energieumwandlung basiert auf einem gut erforschten Photozyklus. Obwohl schon über 45 Jahre an diesem bioenergetischen Modellsystem geforscht wurde, sind noch immer wenig Informationen über den letzten Schritt dieses Photozykluses vorhanden: den Übergang vom O zum Grundzustand (bR). Es wird jedoch angenommen, dass ein langreichweitiger Protonentransfer den bR Zustand wiederherstellt. Diese Arbeit zielt darauf ab, weiteren Aufschluss über die mechanistischen Details und thermodynamischen/kinetischen Eigenschaften des O→bR Übergangs zu geben. Um dies zu bewerkstelligen, wurden computergestütze Rechenmethoden als brauchbare Ergänzung zum Experiment verwendet, da die Handhabung von Membranproteinen und die gesetzten Ziele für experimentelle Methoden eine schwierige Aufgabe darstellen. Zunächst wurden Strukturmodelle mit Hilfe von enhanced sampling Methoden für den O, bR und den O* Intermediatszustand erstellt. Für die Simulation der (langreichweitigen) Protonentransfer- reaktionen wurde ein hybrides QM/MM Set-up basierend auf der semiempirischen Quantenchemie- Methode DFTB3 und dem CHARMM36 Kraftfeld verwendet. Die mit dem Protonentransfer assoziierte Änderung der Gibbs’schen Freien Energie wurde mit Hilfe von Freie-Energie-Techniken in Kombination mit einer fortgeschrittenen Reaktionskoordinate, die auf der center of excess charge- Darstellung basiert, aufgeklärt. Die Ergebnisse weisen darauf hin, dass es sich bei der O→bR Konversion um einen leicht exergonen Prozess handelt, in dem der O* Zustand ein metastabiler Zwischenzustand bildet. Bezüglich des Protonentransfer-Pfads wurde eine interessante Feststellung gemacht: Der langreichweitige Protonentransfer wird über einen Protonen-Loch-/inversen Grotthuss-Mechanismus vollzogen. Zudem wird dieser Ladungstransfer begleitet von der Umorientierung einer funktionell wichtigen, positiv geladenen Arginin Seitenkette sowie der Ausbildung der proton release group. Im Zuge dieser Studien, wurde des Weiteren die Genauigkeit von DFTB3 für Protonentransferreaktionen evaluiert. Die Methode bewies sich als leistungsstark für die Beschreibung dieser Reaktionen mit einer geringfügigen Tendenz für die Unterschätzung von Reaktionsbarrieren. Um diesen Fehler zu korrigieren, der aus der Unterschätzung der kurzreichweitigen Pauli Repulsion in DFTB3 resultiert, wurde die empirische Delta-Pauli Korrektur entwickelt. Allerdings gab es bisher keine Parameter für dieses Model. Daher wurde in dieser Arbeit der erste Parametersatz für CHNO-basierte Molekülsysteme entworfen und an relevanten organischen/biochemischen Systemen evaluiert. Die Ergebnisse zeigen, dass Delta-Pauli erfolgreich kurzreichweitige Pauli Repulsion in DFTB3 einführt. Dies hat zur Folge, dass Delta-Pauli die Beschreibung von Molekülsystemen bezüglich nichtkovalenter Wechselwirkungen, inter- und intramolekularen Reaktionsbarrieren und Gleichgewichtsgeometrien verbessert.
long-range corrected density functional tight binding
Simulation of Long-Range Proton Transfer - Development and Application
# Simulated 2D RASER MRI dataset for AI-driven artefact correction Data for AI-driven artefact correction in 2D RASER MRI images. Random images are generated with basic shapes and image transformations. 30 projections of each image are taken, and undergo a RASER (Radiowave amplification by the stimulated emission of radiation) [1] simulation in MATLAB. The data is divided into 3 subsets: - 10k_images.7z --> standard random images - 10k_images_WithPump.zip --> projections experience parahydrogen pumping - 1k_images_20TPI.zip --> high total population inversion (TPI) variations of +/- 20% ## File format Folder structure: ```{subset}/image{#}/{TPI value}/{filename.csv}``` Each folder contains the following files: - A(0).csv --> Signal amplitude - d(0).csv --> TPI evolution - meta.csv --> Meta information - output(Real and Imag).csv --> Simulated RASER signal - Phi(0).csv --> Signal phase ## Data loading Scripts for data loading are provided with the code at [github.com/mobecks/raser-mri-ai](https://github.com/mobecks/raser-mri-ai). ## References [1] Sören Lehmkuhl et al., RASER MRI: Magnetic resonance images formed spontaneously exploiting cooperative nonlinear interaction.Sci. Adv.8,eabp8483(2022). DOI:10.1126/sciadv.abp8483
Simulated 2D RASER MRI dataset for AI-driven artefact correction
The data set collection is a zip file that contains 17 sqlite database files that can be inspected with any sqlite capable database reader (such as https://sqlitebrowser.org/). The folder names in the unzipped file indicate the names of the data sets (from d20 to d5050). Each database consists of a single table called "statistics" that gives access to the scenario parameters and evaluation results. Each row in the table represents a single execution of the evaluation environment (i.e., one experiment). The columns starting with scenario are the parameters used for scenario / experiment generation. All other columns except for id and resultid (those two columns are not essential to the data set and can be ignored) refer to statistics gathered for one experiment. Columns starting with json contain a serialized json object and need to be de-serialized, e.g., by something like arr = json.loads(string) if python is used where string is the content from the column and arr is an array of floating point numbers. These columns contain time series data, i.e., the statistics were gathered for multiple time slots. Example code for processing the data sets can be found at https://github.com/kit-tm/fdeval (plotters folder). The GitHub page also contains additional details about the data sets in this collection.
This data set collection consists of 17 data sets used for the analytical / simulative evaluation of the flow delegation concept presented in "Flow Delegation: Flow Table Capacity Bottleneck Mitigation for Software-defined Networks". Example code for processing the data sets can be found at https://github.com/kit-tm/fdeval.
flow table capacity bottleneck mitigation
Channel Geometry Scaling Effect in Printed Inorganic Electrolyte-Gated Transistors
Processed micro-tomographic scan of the ant Temnothorax crassispinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes duckei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V3 (videos)
Processed micro-tomographic scan of the ant Tranopelta gilva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0022, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0022 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)
The repository contains two data sets: • Data set "Peak": Assumes that during an operating cycle, the expected customer demand increases monotonously, reaching its maximum value at the cutoff point (Numerical study in Sec. 5 of the paper). • Data set "Uniform": Assumes that during an operating cycle, the expected customer demand is constant at each discrete point in time (Numerical study in Appendix B of the paper).
This data repository contains the raw data used in the numerical experiments presented in the publication "Managing cutoff‑based shipment promises for order fulfilment processes in warehousing".
Data sets for the numerical analysis in the publication Managing Cutoff‑Based Shipment Promises for Order Fulfilment Processes in Warehousing
Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
To study the coupling between atmospheric and subsurface energy fluxes in Berlin, we provide the input and output data used in our study. The analysis was done with the turbulence and building resolving large eddy simulation urban climate model PALM-4U 23.10.
Anthropogenic encroachments in urban environments lead to altered energy fluxes and elevated temperatures. While there is much attention on surface and canopy heat islands, the heat exchange between subsurface and atmosphere as a bottom-up scheme is largely overlooked the role of subsurface heat accumulation and its upward heat transfer through the surface–atmosphere interface as a component of bottom-up energy dynamics remains largely overlooked. So far, subsurface temperature anomalies are not adequately considered in urban climate studies. Hence, in this study the impacts of elevated subsurface temperatures on atmospheric energy fluxes in Berlin are investigated. The analysis is performed with the large eddy simulation urban climate model PALM-4U. We developed different set-ups with cyclic lateral boundary conditions (LBC) and external dynamic forcing from the mesoscale model WRF. For each setup, we subtract a heat scenario in which the soil temperature in the deepest layer (2.91 m below ground) is increased by 5 K from a reference scenario. Under cyclic LBC we detect marginal air potential temperature differences averaged over the domain but significant differences in variance and distribution. Those differences have a high diurnal variation and are height dependent. In contrast, using WRF as forcing, there are pronounced differences in surface sensible heat flux (maximum positive and maximum negative: 13.1~W/m² at 21:00 local time, -7.0~W/m² at 14:00), ground heat flux (4.1~W/m² at 20:00, -3.6~W/m² at 14:00), and 2~m air potential temperature (0.64~K at 17:00, -0.87~K at 14:00). Hence, additional subsurface heat does not lead to uniform warming, but rather to an energy redistribution, ultimately resulting in an overall increase in total energy. With increasing height, differences due to altered soil temperatures become negligible.
Modeling Impacts of Subsurface Thermal Anomalies on Atmospheric Energy Fluxes in Berlin, Germany Using PALM-4U
Processed micro-tomographic scan of the ant Stigmatomma rothneyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachymyrmex depilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera pachyderma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Eupelmidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 2) These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" , published at [arXiv](https://arxiv.org/) in 2024. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. Note that the data originate from two separate runs of the experimental pipeline since we re-ran a subset of the experimental tasks to include heuristic search methods for alternatives. Only two out of five feature-selection methods were affected by these changes (as the heuristics do not work for the others), so we did not run the full pipeline again. Results for the feature-selection methods `FCBFSelector`, `GreedyWrapperSelector`, and `MRMRSelector` base on a run of the experimental pipeline (`run_experiments.py`) at the commit [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). Results for the feature-selection methods `MISelector` and `ModelImportanceSelector` base on a run of the experimental pipeline (`run_experiments.py`) at the commit [`ae73417c9c`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/ae73417c9cf64aedd77e02a50a3df8955e177251). The commit hash for the last run of the evaluation pipeline (`run_evaluation_arxiv.py`) is [`898e9ebedf`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/898e9ebedfae642f4c6be80244b79fdce3920500). We also tagged all relevant commits (`run-2023-06-23`, `run-2024-01-23`, and `evaluation-2024-02-01`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_arxiv.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three feature-selection methods (*FCBF*, *MI*, *Model Importance*) have the range `[0,1]`, while two methods (*mRMR*, *Greedy Wrapper*) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. The interpretation of this value depends on the search method for alternatives and the feature-selection method. (1a) In solver-based search for alternatives in combination with white-box feature-selection methods, this value corresponds to one solver call. (1b) In solver-based search for alternatives in combination with wrapper feature selection, we record the total runtime of the *Greedy Wrapper* algorithm, which calls the solver and trains prediction models multiple times. (2) In heuristic search for alternatives (algorithms *Greedy Balancing* and *Greedy Replacement*), we record the total runtime of the heuristic search algorithms. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver-based or heuristic search method for alternatives; for wrapper feature selection, this is only the status of the last solver call and only refers to a satisfiability problem rather than the (black-box) optimization problem. - 0 = (proven as) optimal; cannot occur for heuristic search methods - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible; cannot occur for heuristic search methods - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for solver-based simultaneous search and *Greedy Balancing*, but always `10` for solver-based sequential search and *Greedy Replacement*. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for solver-based simultaneous search but always sum-aggregation for the remaining search methods (where the aggregation does not matter for the search). - `search_name` (string, 4 different values): The name of the search method for alternatives (`search_greedy_balancing`, `search_greedy_replacement`, `search_sequentially`, or `search_simultaneously`). *Greedy Balancing* and *Greedy Replacement* are (solver-free) heuristics and are only combined with two feature-selection methods (*MI* and *Model Importance*). The other two values denote solver-based search here (though in the paper, we also categorize optimization problems as sequential/simultaneous, no matter how they are solved) and are combined with all five feature-selection methods. - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= *Model Gain* in the paper), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on [arXiv](https://arxiv.org/) in 2024. You can find the paper [here](https://doi.org/10.48550/arXiv.2307.11607) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 2)
The research data covers the production of feedstocks for glass powder injection molding.
The research data forms the basis for the publication linked in KITOpen.
Die Forschungsdaten umfassen die Herstellung vom Formmassen für den Glaspulverspritzguss.
Development of new binder systems for glass injection molding (GIM)
Processed micro-tomographic scan of the ant Gnamptogenys aff continua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V5 (videos)
Daten zu den Abbildungen 2b, 6, 7, 8 und 9 der Publikation "Spreading and rebound dynamics of sub-millimetre urea-water-solution droplets impinging on substrates of varying wettability" im Dateiformat OriginPro.
The research data is structured with respect to the Figure numbers in the manuscript. Figure_2: Synthesis of PANI and PANI@ZF composite electrodes Figure_3: XRD-analysis of all synthesized composite electrodes and reference sprectra Figure 4: FT-IR data of all synthesized composite electrodes Figure 5: SEM images of PANI and PANI@ZF composite electrodes Figure 6: Electrochemical analysis: a) CV of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; b) PANI@ZF3 at different scan rates; c) tafel plots of PANI@ZF3; d) specific capcitances calculated by CV spectra of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; e) Galvanostatic charge/discharge experiments of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; f) galvanostatic charge/discharge experiments at different current densities for PANI@ZF3; g) specific capacitances for PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3 at different current densities FIgure 7: a) Ragone diagram of PANI@ZF3 as symmetrical supercapacitor; b) coulombic efficiency of PANI@ZF3 at different current densities during galvanostatic charge/discharge Figure 8: a) Charge/Discharge cycles of PANI@ZF3 at different cycling numbers; b) specific capacitance of PANI@ZF3 over varying cyclinc numbers Figure 9: Impedance spectra at different SOC: a) SOC = 0; b) SOC = 50; c) SOC = 100; d) comparison of all spectra Figure 10: Impedance spectra at different cycle numbers: 2000, 4000, 8000, and 10000 cycles Figure to table A2: EDX spectra of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3
Conducting polymer-metal oxide hybrids are promising electrode materials for supercapacitors, yet achieving a balance between high capacitance and long-term stability remains challenging. In this work, polyaniline (PANI) - zinc ferrite (ZnFe₂O₄) composites were synthesized by in situ electrochemical polymerization of aniline with controlled deposition duration for ZnFe2O4-nanoparticle incorporation. Structural and spectroscopic characterization confirmed uniform dispersion of ZnFe2O4 within the polymer matrix and the formation of fibrous nanostructures. Electrochemical analysis revealed a progressive enhancement of redox activity and charge storage with increasing ZnFe2O4 content. The optimized composite exhibited a specific capacitance of up to 1402 F g⁻¹ at 1 A g⁻¹, together with an energy density of 141.9 Wh kg⁻¹ and a power density of 404.9 W kg⁻¹. When assembled into a symmetric supercapacitor, the PANI-zinc ferrite composite retained 97.6% of its initial capacitance after 10,000 charge–discharge cycles. Electrochemical impedance spectroscopy further indicated that structural degradation under accelerated aging is primarily associated with particle and polymer chain cracking/breaking, leading to increased mass transport resistance, thereby reducing the energy storage capability.
Investigation of Energy Storage Performance and Cycling Stability of Electrochemically Synthesized PANI–ZnFe2O4 Electrodes
Processed micro-tomographic scan of the ant Dolichoderus attelaboides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
"Allgemeines sportmotorisches Eigenschaftsprofil von Freiklettern." In: Leibesübungen, Leibeserziehung, 37 (1983) 5, S. 99-106
Processed micro-tomographic scan of the ant Anochetus mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Digitaler Anhang, der weiterführende Literaturanalysen und Ausführungen zur Dissertation enthält.
Digitaler Anhang Dissertation Sina Peukert zum Thema "Robustheitssteigerung in Produktionsnetzwerken mithilfe eines integrierten Störungsmanagements"
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 3)
Database: Ridge-type roughness - from turbulent channel flow to internal combustion engine
Microstructural study of MgB$_{2}$ in the LiBH$_{4}$-MgH$_{2}$ composite by TEM
Processed micro-tomographic scan of the ant Liometopum apiculatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
We present high resolution measurements of ammonium (and other pollution trace gases) in the South Atlantic Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim campaign with basis in Kathmandu, Nepal, on board the high altitude research aircraft Geophysica, 2017, and during the SouthTRAC (Transport and Composition in the Southern Hemisphere Upper Troposphere/Lower Stratosphere) campaign with bases in Oberpfaffenhofen, Germany, and Rio Grande, Argentina, on board the German High Altitude and Long range research Aircraft (HALO), 2019.
Data for: Ammonia in the UTLS: GLORIA airborne measurements for CAMS model evaluation in the Asian Monsoon and in biomass burning plumes above the South Atlantic
Processed micro-tomographic scan of the ant Pheidole xerophila, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In the work package WP3.1 of the PRESLHY project the blow-down behavior of cryogenic hydrogen stored at elevated pressure is investigated by the project partners Karlsruhe Institute of Technology (KIT) and Pro-Science (PS). The main purpose of WP3.1 was to provide validation or reference data for • models defining or using a discharge coefficient, • subsequent explosion tests, where the released gases will be ignited (see E5.2), and • electrostatic field excitation and associated ignition potential of high-pressure hydrogen gas jets at cryogenic temperatures.
In part B of WP3.1 of the PRESLHY project 12 hydrogen blow-down experiments were performed with the Cryostat-facility on a free field-test site located a few kilometers to the north of KIT Campus North. About half of the experiments were made with liquid hydrogen at cryogenic temperatures (approx. 20 K). In the experimental campaign, the same release branch as in the related DisCha-experiments of Task 3.1A was used to facilitate comparison with the experiments of this series. For the same reason, five of the blow-down tests were made under ambient temperature conditions, since in part A also half of the matrix was performed under these conditions. The tests showed very good reproducibility. Besides the discharge characteristics and the transient jet behavior also the electrostatic fields have been recorded to understand potential mechanisms for spontaneous ignition.
Processed micro-tomographic scan of the ant Pogonomyrmex rugosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera hespera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex profundus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Heteroponera flava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis germinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Python code for simulation of Cyclic Voltammograms for 6-step process (EEC-EEC, where E is Electrochemical and C - Chemical steps). Code is non universal but can be easily modified for other mechanisms.
Current version available at https://github.com/QchemElectroChem/CyclicVoltammetry
Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT), Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
Original photos, SEM images, AFM data, and optical spectra of five species of the genus Bitis. For details please see manuscript Reza et al. (2024): "Nanopores in ventral scales cause white venters for the thermoregulation of snakes".
Nanopores in ventral scales cause white venters for the thermoregulations of snakes
Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)
This archive contains a load test environment for the TrainTicket benchmarking application, including analysis scripts. The use of the archive is further described in a README.md file.
Environment for Externalized and Decentralized Authorization of Microservices
Coppenolle v., H., Boeths, W., Goris, M. & Refelgham v., F. (1983). Der diagnostischeund prognostische Wert einzelner sportmotorischer Tests für den Fosbury-Flop.Lehre der Leichtathletik, 6, 179-182.
Im Schuljahr 2021/22 wurde im elften Jahr in Folge im Rahmen von BERLIN HAT TALENT die physische Fitness von Berliner Drittklässlerinnen und Drittklässlern mit Hilfe des Deutschen Motorik-Tests (Bös et al., 2016) untersucht. Der Fokus lag dabei auf entwicklungsbezogenen und zeitlichen Trends der motorischen Leistungsfähigkeit sowie deren Auswirkungen auf die körperliche Gesundheit im Kindesalter in Berlin. In jedem der 11 Jahre erhielten ausgewählte öﬀentliche Grundschulen aus den 12 Berliner Stadtbezirken von der Berliner Schulverwaltung ein schriftliches Angebot für die Teilnahme. Die Auswahl der zu untersuchenden DrittklässlerInnen erfolgte schulweise durch eine vom Landessportbund Berlin (LSB) und der Berliner Schulverwaltung beauftragte Projektgruppe, wobei der Umfang dieser Stichprobe von Jahr zu Jahr ausgebaut wurde. Insgesamt 75.945 Berliner DrittklässlerInnen (mehr als 300 Schulen) absolvierten in – mit schriftlicher Einverständniserklärung ihrer Eltern – die sportmotorischen Tests. Die Erhebung der sportmotorischen Leistungen wurde einer auf die Erhebung von Sportdaten spezialisierten Firma übertragen, die diese mit nahezu unverändertem Personal über die Jahre realisiert hat.
Processed micro-tomographic scan of the ant Brachyponera sennaarensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0043, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0043 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
These are the postprocessed ICON simulation outputs for following the article: Barrett, A. I., & Hoose, C. (2023). Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear. Journal of Geophysical Research: Atmospheres, 128, e2022JD036965. https://doi.org/10.1029/2022JD036965 All files are (compressed) netcdf files. "default" contains output obtained with the standard model configuration, "Ecoll0p5" with E_coll=0.5 and "Ecoll1p0" with E_coll=1.0. ccn6 is the lowest CCN concentration, ccn9 the highest. ws18 means wind shear of 18 m/s, and analogously for other wind shears. The time-invariant vertical grid is supplied as well.
Research data for ”Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear”
Processed micro-tomographic scan of the ant Odontomachus cf monticola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Arbeitsgruppe A. V. Ustinov, Physikalisches Institut, KIT
Simulation and measurement data used in the dissertation manuscript by Alexander Bilmes(1) "Resolving locations of defects in superconducting transmon qubits" (defense on 8Feb2019, Referent Prof. A.V. Ustinov, Koreferent: Prof. A. Shnirman ), published via KITopen in Aug2018. (1) Physikalisches Institut, KIT, Wolfgang-Gaedestr. 1, 76137 Karlsruhe DOI of this data publication: 10.5445/IR/1000097356 zip files: part1-3: simulation data part4: matlab functions to generate plots contained in the dissertation manuscript after unzipping, you will find the following folders: - Fig2_3: matlab function and data used to generate the figure 2.3 - Fig4_3: matlab function and data used to generate the figure 4.3 - FigD2: matlab function and data used to generate the figure D.2 - TLS-locations\TLS_locations_allQubs_publish.m: matlab function used for the analyzis of TLS locations, and generation of Figures 2.10, 2.11, 4.6-4.8, 4.12-4.14, D.1, E.5, E.6, E.8, F.1 - TLS-locations\errorEstimation_InterfaceParticipation_publish.m: matlab function to estimate the errors presented in Equation 4.7 (Output files Pint_QB2_runAug2018 and Pint_QB2_runAug2018_roughSweep can be plotted with the same function: set the variable "loadprevious" to 1) - E-field_simulations_2D_1 and _2D_2 and _3D: simulation data used in the analyzis above. - E-field_simulations_2D_2\Exported_Data\path_along_film-edge-profile: matlab function to generate the points at the film edge profile (2D model), at which the electric field shall be exported from the simulation model - E-field_simulations_3D\Exported_Data\potential_for_2D-simu_V5_2_10: data exported from the 3D model to find the effective potential for the electrodes in the 2D model (see Fig 4.4 c) - E-field_simulations_3D\Exported_Data\Field_Along_Edges: exported data of electric fields along the fim edge in the 3D model, presented in Figs. 4.6 and F.6
Additional data for the dissertation: Resolving locations of defects in superconducting transmon qubits
Processed micro-tomographic scan of the ant Pheidole afrc-063, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset contains Doppler lidar measurements for 10 days, each corresponding to an extratropical cyclone sampled during the WASTEX field campaign (see Pantillon et al. 2018). Three data are saved in three files per day, e.g. for 23/2/2017: - Save_KIT_DOPPLERLIDAR_RV_20170223.nc (RV = Radial Velocity → wind measurements) - Save_KIT_DOPPLERLIDAR_SNR_20170223.nc (SNR = Signal to Noise Ratio → data quality) - Save_KIT_DOPPLERLIDAR_BS_20170223.nc (BS = BackScatter → signal strength) Files are in netCDF format with the following structure, e.g. for RV: netcdf Save_KIT_DOPPLERLIDAR_RV_20170223 { dimensions: time = 444035 ; ranges = 110 ; variables: double time(time) ; time:standard_name = "time" ; time:units = "seconds since 1970-01-01 00:00:00 UTC" ; double ranges(time, ranges) ; ranges:unit = "m" ; ranges:long_name = "distance of range gate from lidar along the beam. value denotes the middle of the range gate." ; double elevation(time) ; elevation:long_name = "elevation angle of the laser beam: zenith=90, horizontal=0 and 180" ; elevation:unit = "degree" ; double azimuth(time) ; azimuth:standard_name = "sensor_azimuth_angle" ; azimuth:long_name = "azimuth angle of the laser beam: north=0, east=90, south=180, west=270" ; azimuth:unit = "degree" ; double radial_velocity(time, ranges) ; radial_velocity:standard_name = "radial_velocity_of_scatterers_away_from_instrument" ; radial_velocity:unit = "m s^-1" ; radial_velocity:_FillValue = -999. ; // global attributes: :Institution = "Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research" ; :Title = "Scanning doppler lidar WindTracer" ; } Wind measurements are stored in variable "radial_velocity" as function of coordinates "time" and distance from lidar "ranges". At the beginning of every hour, the mean wind direction is determined (about 1500 records) with varying azimuth (“horizontal angle”) from 0° to 360° and fixed elevation (“vertical angle”) at 15° and 75°. Then the radial wind speed is measured for one hour (about 15000 records) with constant azimuth in the mean wind direction determined above and varying elevation from 0° to 15°, up and downward every 0.6°. One up- or downscan contains about 25 records contained in one up or downscan, which can be combined into one snapshot (see example in Pantillon et al. 2018). Such a “snapshot” actually contains asynchronous records (a few seconds altogether) thus it is recommended to use upscans or downscans only. Each record can be additionally filtered according to its quality, e.g. with signal-to-noise ratio SNR > -6 dB.
Doppler lidar measurements from the Wind and Storms Experiment (WASTEX)
Die wissenschaftliche Nachhaltigkeitsbewertung ist ein Bereich, in dem Nachhaltigkeit als Handlungskonzept wirksam wird. Umwelt- und Nachhaltigkeitsbewertung sind von zentraler Bedeutung für die Vergleichbarkeit, Verlässlichkeit und Nachvollziehbarkeit von Entscheidungen. Eine wichtige Methode ist die Ökobilanz bzw. Lebenszyklusanalyse – auf Englisch Life-Cycle Assessment, die kurz LCA genannt wird. Sie muss die Kriterien Objektivität, Reliabilität und Validität erfüllen und ist oft vergleichend angelegt. Denn zu wissen, welche Umweltwirkungen ein E-Auto hat ohne sie mit einer Alternative vergleichen zu können, ist noch keine Evidenz basierte Entscheidungshilfe: die begründete Differenzierbarkeit fehlt.
Nachhaltigkeit Nachhaltigkeitsbewertung Ökobilanz
files consists of data from following sensors, obtained during experiments: • rugged field meter IDB systems I • static field meter IDB systems • electrometer • resistance meter station • pipework thermocouples T • pressure sensor • mass flow sensor • near‐field weather station • far‐field wind sensor • far‐field humidity sensor
Work package four of the PRESLHY project focuses on ignition phenomena. This report summarises the experimental series E4.3, which focuses on the propensity for an electrostatic charge capable of igniting a hydrogen cloud to be generated during a release, or accidental spill scenario. Seven experiments measuring the electric field of a multiphase hydrogen jet were conducted at the HSE Science and Research Centre. Current measurements on an electrically isolated section of steel pipework were also taken during a total of 30 large scale releases. The results from the plume measurements indicate that the multiphase hydrogen jet itself does not create a significant charge, but certain interactions with the air can cause intermittent spikes in field strength. In particular, air in the pipework being ejected and solidified air forming around the release point, breaking off and flowing downstream appear to be the cause of the electrical fields measured in these experiments. This effect could be larger with different initial conditions either at the nozzle or in the tanker. The wall current measurements were more consistent, as the ability for LH 2 to induce a current on a section of electrically insulated pipework was clearly demonstrated. This charge is a complicated function of the phase of LH 2 in the pipework, the turbulence of the flow, and the resistance to ground of the section of the pipework. Frost formation on the outside of the pipework dynamically changed the resistance to ground throughout each trial, making interrogation of the results difficult. The experiments show that electrostatic charges do pose a credible hazard when considering LH 2 facilities. The charging, however, does not form inside the hydrogen, but on the substances or objects that the hydrogen interacts with. For a fixed facility, maintaining continuity to earth, paying attention to objects in the potential path of a release, would limit the likelihood of electrostatic charging and therefore limit the hazard.
Electrostatic Ignition (Summary of experiment series E4.3 results)
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
PDF file with additional information on the sample labeling of the raw data
Pushing the Efficiency of the Selective and Base-free Air-Oxidation of HMF by Varying the Properties of Carbon-based Supports - Raw data
Processed micro-tomographic scan of the ant Acropyga guianensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys strigatella, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 4)
Processed micro-tomographic scan of the ant Cardiocondyla wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Talaridris mandibularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paraparatrechina weissi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys bicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pachycondyla harpax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mayriella sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Automating the selection process of operating resources in production engineering, e.g., measurement systems, using data-driven and rule-based approaches, to improve product qualities remains challenging since it involves human experience and decentralized knowledge of different domains. A decision support system for selecting measurement systems that can be operated in various domains and industries is missing as existing approaches lack applicability in varying domains, and a centralized knowledge base is missing. This work develops an ontology for measurement systems and tasks to ensure interoperability across domains and applications. Based on this ontology, a knowledge-based decision support system implementing case-based reasoning for selecting measurement systems for a given task is developed. The decision support system recommends suitable measurement systems based on similar measurement tasks performed in the past. Analogical reasoning is implemented using knowledge graph embeddings. A centralized knowledge base, consisting of measurement systems and tasks, is instantiated using the example of battery cell manufacturing. The decision support system is then validated by drawing analogical conclusions from the example of battery and fuel cell manufacturing.
Please see provided "README" for further information.
Ontology for the selection of measurement equipment in immature production processes using case-based reasoning
# In-Process Porosity Detection Dataset by Means of Optical Measurement Technology in PBF-LB/M Please see provided Jupyter Notebook "README" for further information.
In Process Porosity Detection Dataset by Means of Optical Measurement Technology in PBF-LB/M by wbk Institute of Production Science
ANDeS: An automated nanoliter droplet selection and collection device [Gesperrt]
# Pol-InSAR-Island dataset: This folder contains multi-frequency Pol-InSAR data acquired by the F-SAR system of the German Aerospace Center (DLR) over Baltrum and corresponding land cover labels. Data structure: - data - FP1 # Flight path 1 - L # Frequency band - T6 # Pol-InSAR data - pauli.bmp # Pauli-RGB image of the master scene - S - ... - FP2 # Flight path 2 - ... - label - FP1 - label_train.bin - ... - FP2 - ... Data format: The data is provided as flat-binary raster files (.bin) with an accompanying ASCII header file (*.hdr) in ENVI-format. For Pol-InSAR data the real and imaginary components of the diagonal elments and upper triangle elements of the 6 x 6 coherency matrix are stored in seperated files (T11.bin, T12_real.bin, T12_imag.bin,...) Land cover labels contained in label_train.bin and label_test.bin are encoded as integers using the following mapping: 0 - Unassigned 1 - Tidal flat 2 - Water 3 - Coastal shrub 4 - Dense, high vegetation 5 - White dune 6 - Peat bog 7 - Grey dune 8 - Couch grass 9 - Upper saltmarsh 10 - Lower saltmarsh 11 - Sand 12 - Settlement
The strong scientific interest and the accompanying rapid development of machine learning, in particular deep learning, has led to a significant improvement in automatic image interpretation in recent years. Research generally focuses on classification or segmentation of optical images, but there are already several successful approaches that apply deep learning techniques to the analysis of PolSAR or Pol-InSAR images. While the success of learning-based methods for the analysis of optical images has been strongly driven by public benchmark datasets such as ImageNet and Cityscapes, which contain a large number of annotated training and test data, comparable datasets for the PolSAR and especially the Pol-InSAR domain are almost non-existent. This conclusion and the demand for large and representative expert-annotated benchmark datasets for the SAR community is also reached by Zhu et al. (2021) in their analysis of the current state of deep learning-based SAR image analysis. To fill this gap, this work presents a new multi-frequency Pol-InSAR benchmark dataset for training and testing learning-based methods. This dataset is intended to improve the development of new approaches or the adaptation and improvement of existing ones. Furthermore, a defined division of the data into training and testing sections will ensure the comparability of approaches of different works. For the segmentation of PolSAR images, there already exist a few annotated datasets that are frequently referenced in the respective literature. These include the PolSF dataset, which contains PolSAR images from various spaceborne and airborne systems over San Francisco, the E-SAR dataset from Oberpfaffenhofen, and the Flevoland dataset, which contains an AIRSAR image depicting agricultural areas. The described datasets have several limitations that make them inadequate for evaluating learning-based image segmentation approaches. One weakness is the small amount of data, which is usually insufficient for training deep networks. Another problem is the lack of complexity of the segmentation task due to generic classes that are too easily distinguishable or spatial distributions of classes that are too simplistic, regular, and resembling each other. As a result, very high classification performances can already be achieved by simple classifiers, so that a comparison of more sophisticated classifiers, which are necessary for more challenging real-world tasks, is not possible. Another disadvantage of existing datasets is that the division into training and test areas is not fixed, which prevents the comparability of research that uses these datasets for evaluation. Our annotated, multi-frequency Pol-InSAR dataset named $\textbf{Pol-InSAR-Island}$ provides information-rich data as well as a challenging segmentation task consisting of 12 land cover classes. The Pol-InSAR data of the dataset were acquired in April 2022, on behalf of the Lower Saxony Water Management, Coastal Defence and Nature Conservation Agency (NLWKN), with the airborne F-SAR system (Reigber, 2020) of the German Aerospace Center (DLR) during a measurement campaign over the German Wadden Sea. The basics necessary for this measurement campaign in terms of data acquisition and processing were developed within the GeoWAM project (Pinheiro, 2020; Schmitz, 2022). The data acquisition was performed simultaneously in S- and L-band. Interferometric analysis is enabled by imaging the area two times with a time offset of 12 minutes and a vertical baseline of 12m. The Pol-InSAR-Island dataset does not include all flight data of the measurement campaign, but only data sections that cover the island Baltrum. Based on co-registered interferometric image pairs the coherency matrix $\mathbf{T}_6$ is calculated for each pixel, which is obtained from the scalar products of the Pauli scattering vectors $\mathrm{k}_1$ and $\mathrm{k}_2$: $\mathbf{T}_6 = \begin{bmatrix} \mathrm{k}_1 \\ \mathrm{k}_2 \end{bmatrix} \begin{bmatrix} \mathrm{k}_1^{*T} & \mathrm{k}_2^{*T} \end{bmatrix} = \begin{bmatrix} \mathbf{T}_{11} & \mathbf{\Omega}_{12}\\ \mathbf{\Omega}_{21} & \mathbf{T}_{22} \end{bmatrix}.$ Subsequently, this representation is projected from the slant-range to the ground-range geometry. The ground resolution of the geocoded products has a resolution of 1m x 1m. The island of Baltrum is home to many different biotopes and vegetation species and is surrounded by the North Sea and tidal flats. The diverse land cover results in the target classes of the demanding Pol-InSAR-Island dataset. For a precise annotation of the data, an existing biotope type map, published by the the Lower Saxon Wadden Sea National Park Authority via Marine.Daten.Infrastruktur.Niedersachsen (MDI-NI), is used, which is a result of the Trilateral Monitoring and Assessment Program processing from 2013. In this map the island Baltrum is classified into 40 different biotope types. Since the biotope map was generated several years prior to the SAR measurement campaign, significant changes in the extent of the different biotope types are to be expected, making the map not sufficient for accurate annotation. Therefore, the map is revised within a semi-automatic process. Automatically, transition areas between different biotope types are removed and strongly similar biotope types are grouped into one class each. The decision about the grouping of biotope types is based on the semantic context and an analysis of the class separability based on polarimetric features. The analysis of class separability is performed visually based on a projection of the polarimetric features into a two-dimensional feature space using the UMAP algorithm. Manual improvements to the resulting annotation are made by visually interpreting the SAR images and simultaneously acquired optical images. The Pol-InSAR-Island dataset is split into two spatially disjoint subsets, using a chessboard grid that alternately defines training and test patches. Such a split pattern was chosen to ensure that all 12 classes are represented in both subsets and additionally mapped at different incidence angles. Overall, this results in a labeled multi-frequency Pol-InSAR dataset that provides a challenging segmentation task. The public availability of the dataset can make a crucial contribution to the further development and comparability of learning-based segmentation methods for Pol-InSAR images in the future. References Pinheiro, M., Amao-Oliva, J., Scheiber, R., Jäger, M., Horn, R., Keller, M., Fischer, J. & Reigber, A. (2020). Dual-Frequency Airborne SAR for Large Scale Mapping of Tidal Flats. Remote Sensing, 12(11), 1827. Reigber, A., Jäger, M., Fischer, J., Horn, R., Scheiber, R., Prats, P., & Nottensteiner, A. (2011). System Status and Calibration of the F-SAR Airborne SAR Instrument. 2011 IEEE International Geoscience and Remote Sensing Symposium, 1520-1523. Schmitz, S., Hammer, H., & Thiele, A. (2022). Multi-Frequency PolInSAR Data Are Advantageous for Land Cover Classification – A Visual and Quantitative Analysis. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, V-1-2022, 49–56. Zhu, X. X., Montazeri, S., Ali, M., Hua, Y., Wang, Y., Mou, L., Shi, Y., Xu, F. & Bamler, R. (2021). Deep Learning Meets SAR: Concepts, Models, Pitfalls, and Perspectives. IEEE Geoscience and Remote Sensing Magazine, 9(4), 143-172.
Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Validation split
Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum
This is the data generated in the paper: "Seismological evidence for a multifault network at the subduction interface". Paper abstract: Subduction zones generate the largest earthquakes on Earth, yet their detailed structure, and its influence on seismic and aseismic slip, remains poorly understood. Geological studies of fossil subduction zones characterize the seismogenic interface as a 100m-1km thick zone1–3 within which deformation occurs mostly on meters-thick faults1,3–6. Conversely, seismological studies, with their larger spatial coverage and temporal resolution but lower spatial resolution, often image the seismogenic interface as a kilometers-wide band of seismicity7. Thus, how and when these meter-scale structures are active at the seismic-cycle timescale, and what influence they have on deformation is not known. Here, we detect these meters-thick faults with seismicity and show their influence on afterslip propagation. Using a local 3D velocity model and dense observations of over 1500 double-difference relocated earthquakes in Ecuador, we obtain an exceptionally detailed image of seismicity, showing that earthquakes occur sometimes on a single plane and sometimes on multiple meters-thick simultaneously active subparallel planes within the plate interface zone. This geometrical complexity impacts afterslip propagation, demonstrating the influence of fault continuity and structure on slip at the seismogenic interface. Our findings can therefore help create more realistic models of earthquake rupture, aseismic slip, and earthquake hazard in subduction zones.
When using this data, please cite the paper "Seismological evidence for a multifault network at the subduction interface" (10.1038/s41586-024-07245-y) Contents of this directory: 1. Catalogue_NonLinLoc.csv: Catalogue of earthquakes located with NonLinLoc in a 1D model. 2. Catalogue_full_picks.txt: Arrival times picked with machine-learning. For each earthquake, the header (lines starting with #) lists the origin time, longitude, latitude, depth, number of phases, and average horizontal uncertainty from NonLinLoc. For each pick, the station, traveltime, time residual from NonLinLoc and phase are listed. 3. Catalogue_differential_arrivaltimes.txt: Cross-correlation differential times for all earthquake pairs with an interevent distance below 10 km. For each pair, the header (lines starting with #) lists the ID number of both events. For each pick, the station, differential time, correlation and phase are listed. To limit the file size, we only include cross-correlations above 0.6. 4. Catalogue_tomoDD.csv: Catalogue of all earthquakes relocated with double-difference in tomoDD in a 3D model. The total relative location error, calculated using bootstrapping, refers to the location error of the event relative to the rest of its cluster in TomoDD. Since all events were relocated in a single cluster in TomoDD, this essentially corresponds to the average location error relative to all other events. For details on the calculation of errors, please refer to the online methods of Chalumeau et al. (2024). 5. Errors_TomoDD.csv: Relative location errors for each event pair in TomoDD. 6. Catalogue_families.csv: Families of similar earthquakes with cross-correlations above 0.75. For details on the creation of families, please refer to the online methods of Chalumeau et al. (2024). 7. Stations.csv: List of station locations. If you have any questions, please email Caroline Chalumeau [caroline.chalumeau@kit.edu / carochalu06@gmail.com] or Andreas Rietbrock [andreas.rietbrock@kit.edu]
Seismological evidence for a multifault network at the subduction interface
Processed micro-tomographic scan of the ant Strumigenys exilirhina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara hannya, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys intermedia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphoidris afrc-tz01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Documents: -Design of Experiments: Information on the paths such as the technological values of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders for training and validation both with and without the workpiece. In the next level, the individual test executions are located. The individual recordings are stored in the form of a JSON file. This consists of a header with all relevant information such as the signal sources. This is followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine Experimental data: -Machine: Retrofitted DMC 60H -Material: S235JR, 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
The aim of the dataset is to train and validate models for predicting time series for milling processes. For this purpose, processes were recorded at a sampling rate of 500 Hz by a Siemens Industrial Edge on a DMC 60H. The machine was upgraded in terms of control technology. Processes for model training and validation were recorded, suitable for both steel and aluminum machining. Several recordings were made with and without the workpiece (aircut) in order to cover as many cases as possible. This is the same series of experiments as in "Training and validation dataset of milling processes for time series prediction" with DOI 10.5445/IR/1000157789 and allows an investigation of the transferability of models between different machines.
Das Ziel des Datensatzes ist das Training und die Validierung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse. Dazu wurden an einer DMC 60H Prozesse mit einer Abtastrate von 500 Hz durch eine Siemens Industrial Edge aufgenommen. Die Maschine wurde steuerungstechnisch aufgerüstet. Es wurden Prozesse für das Modelltraining und die Validierung aufgenommen, welche sowohl für die Bearbeitung von Stahl sowie von Aluminium verwendet wurden. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) erstellt, um möglichst viele Fälle abdecken zu können. Es handelt sich um die gleiche Versuchsreihe wie in "Training and validation dataset of milling processes for time series prediction" mit der DOI 10.5445/IR/1000157789 und hat zum Ziel, eine Untersuchung der Übertragbarkeit von Modellen zwischen verschiedenen Maschinen zu ermöglichen.
Training and validation dataset 2 of milling processes for time series prediction
In the present paper we consider a class of quasilinear wave equations on a smooth, bounded domain. We discretize it in space with isoparametric finite elements, and apply a semi-implicit Euler and midpoint rule as well as the exponential Euler and midpoint rule to obtain four fully discrete schemes. We derive rigorous error bounds of optimal order for the semi-discretization in space and the fully discrete methods in norms which are stronger than the classical $H^1\times L^2$ energy norm under weak CFL-type conditions. To confirm our theoretical findings, we also present numerical experiments.
This code is used for the numerical experiment in Section 2 of the paper "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" by Benjamin Dörich. Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223 . The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.5.1) has to be installed, cf. https://www.dealii.org/9.5.0 In order to compile the program, open a terminal session in this folderand call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main P3_half ./main euler ./main midpoint ./main alpha60P1 ./main alpha60P2 ./main alpha80P1 ./main alpha80P1 ./main alpha90P1 ./main alpha90P2 ./main alpha95P1 ./main alpha95P2 to execute the code. This performs the computations and generates the files parameters_P1.ini_space_Q1.txt parameters_P2.ini_space_Q2.txt parameters_P3.ini_space_Q3.txt parameters_P3_half.ini_space_Q3.txt parameters_euler.ini_time_ImplEuler parameters_midpoint.ini_time_MidpointRule parameters_alpha_60_P1.ini_space_Q1.txt parameters_alpha_60_P1.ini_space_Q2.txt parameters_alpha_80_P1.ini_space_Q1.txt parameters_alpha_80_P2.ini_space_Q2.txt parameters_alpha_90_P1.ini_space_Q1.txt parameters_alpha_90_P2.ini_space_Q2.txt parameters_alpha_95_P1.ini_space_Q1.txt parameters_alpha_95_P2.ini_space_Q2.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
Code to "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" (v2)
Processed micro-tomographic scan of the ant Basiceros militaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers This database features velocity and thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow. The different types of thermal boundary conditions are isothermal ("IT"), mixed-type boundary condition ("MBC") and isoflux ("IF") as given in the accompanying publication. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Vinuesa, Schlatter, Frohnapfel (2019) "The influence of thermal boundary conditions on turbulent forced convection pipe flow at two Prandtl numbers". International Journal of Heat and Mass Transfer. 2019. ## Contents * Velocity statistics: * Friction Reynolds number * Mean velocity, Reynolds stresses * Budgets of Reynolds stresses and turbulent kinetic energy * Thermal statistics: * Nusselt number and its contributions * Mean temperature, temperature variance and turbulent heat fluxes * Budgets of temperature variance and turbulent heat flux
This database contains numerical results of well-resolved large-eddy simulations and direct numerical simulations on a fully-developed turbulent forced convection pipe flow with different thermal boundary conditions. Please refer to the README for further information.
Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers
Processed micro-tomographic scan of the ant Ectatomma brunneum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Programmstrukturen und Datenorganisation
Institut für Industriebetriebslehre und Industrielle Produktion
Institut für Automation und angewandte Informatik
This dataset was published as part of a paper submitted at the "International Workshop on Energy Data and Analytics" at ACM e-Energy 2022 with the title "High Resolution Real-World Electricity Data from Three Microgrids in the Global South" in which the data set is described. Further explanations can be found in the file "Symbols_Units_Explanations".
Microgrids are a promising solution for providing electricity access to rural populations in the Global South. To ensure such microgrids are affordable and effective, careful planning and dimensioning is required. Numerous tools exist to assist with this planning and dimensioning, however, they generally require microgrid electricity data, such as load profiles, as an input. Unfortunately, such electricity data is scarce for microgrids in the Global South and the little data that is available has a low temporal resolution. Therefore, we introduce high resolution real-world electricity data from three microgrids in the global south. The data is collected from microgrids in the Democratic Republic of Congo, Rwanda, and Haiti, and has a temporal resolution of up to five seconds. Furthermore, we include data from both residential and industrial microgrids, and consider microgrids with renewable generation from hydropower and photovoltaic arrays. We describe and analyse the characteristics of the recorded data and show how it can be used to derive flexible load profiles with varying temporal resolutions, useful for affordable microgrid planning and dimensioning.
High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Tribological Specimens for Tribological Experiments v2 - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Bothroponera talpa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data were collected with multiple devices and the original files were saved in multiple formats. All data were saved with OriginPro software and analyzed using built-in toolkits. In some cases, the analyzed data is further processed with MS Excel and included in the folders. Original images acquired with Scanning Electron Micrsocope were stored in corresponding folders. For publication they were prepared with CorelDraw graphical editor.
A method for the fabrication of flexible electrical circuits on polyaramid substrates is presented, based on laser-induced carbonisation followed by copper electroplating. Locally carbonised flexible sheets of polyaramid (Nomex), by laser radiation, creates rough and highly porous microstructures that show a higher degree of graphitisation compared to thermally carbonised Nomex sheet. The found recipe for laser-induced carbonisation creates conductivities of up to \SI{\sim 45}{\siemens\per\centi\m}, thereby exceeding that observed for thermally pyrolysed materials (\SI{\sim 38}{\siemens\per\centi\m}) and laser carbon derived from Kapton using same laser wavelength (\SI{\sim 35}{\siemens\per\centi\m}). The electrical conductivity of the carbonised tracks was further improved by electroplating with copper. To demonstrate the electrical performance, fabricated circuits were tested and improvement of the sheet resistance was determined. Copper films exhibit antimicrobial activity and were used to fabricate customised flexible antibacterial coatings. The integration of laser carbonisation and electroplating technologies in a polyaramid substrate points to the development of customised circuit designs for smart textiles operating in high temperature environments.
Polyaramid-Based Flexible Antibacterial Coatings Fabricated Using Laser-Induced Carbonization and Copper Electroplating
Processed micro-tomographic scan of the ant Temnothorax arimensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
TEM raw dataset corresponding to the graphs and maps depicted in the manuscript
Influence of Zr-doping on structure and transport properties of rare earth high-entropy oxides
Processed micro-tomographic scan of the ant Pheidole gertrudae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Zur Bestimmung von Abrollformen (englisch: roll-over shapes) für den Fuß wurden Experimente mit neun Probanden durchgeführt (4 männlich, 5 weiblich). Durch ein Motion Capture System werden die Positionen von Markern erfasst, die an den Knöcheln und dem Großzehengrundgelenk angebracht sind, während die Probenden geradeaus gehen. Zur Messung der Kontaktkräfte werden zwei Kraftmessplatten genutzt, auf die die Probanden während dem Gehen auftreten. Aus den Rohdaten wird jeweils die Trajektorie des Sprunggelenks extrahiert, während der Fuß auf einer der Kraftmessplatten abrollt. Aus diesen Trajektorien wird eine Abrollform für jeden Fuß erstellt. Das genaue Vorgehen ist in der Dissertation "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI: 10.5445/KSP/1000089994) geschrieben.
Experiments with nine subjects (4 male, 5 female) are conducted to determine roll-over shapes for their feet. The position of markers at the knuckles and the metatarsal joint is measured via motion capturing for straight walking. Two force plates are used to measure contact forces during walking. The respective ankle trajectories are extracted from the raw data while a foot is rolling on one of the force plates. Roll-over shapes are created to fit the trajectory. A etailed description of the method and the models is given in the PhD thesis "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI:10.5445/KSP/1000089994, in German).
Die Rohdaten und die Skripte zur Auswertung der Abrollfomen sind als Matlab-Dateien abgelegt. Der Matlab-Code zur Auswertung der Modelle für die Abrollform wird automatisch aus dem Maple-Worksheet "RegFoot.mw" generiert und im Unterordner "m_functions_out" abgelegt (Maple wird zur Ausführung des Matlab-Codes nicht benötigt, alle Dateien sind bereits erzeugt). Aus den Rohdaten in "raw_data.mat" werden mit dem Skript "a_preproc_data.m" die Trajektorien der Sprunggelenke für die Abrollbewegung auf der Kraftmessplatte extrahiert und in "preproc_data.m" gespeichert. Mit dem Skript "b_fitted_data.m" werden an diese Trajektorien die Modelle für die Abrollform angepasst. Zum Fitten der Daten wird die Funktion "fitfoot.m" aufgerufen. Die Daten für die gefitteten Modelle werden in "fitted_data.mat" gespeichert. Mit dem Skript "c_postproc_data.m" werden aus diesen gefitteten Daten Plots für die Geometrie und die Trajektorien des Modells und der Messung erzeugt und im Unterordner "results" gespeichert. Alle Plots sind als png-Dateien Teil dieses Datensatzes.
Roll-over shapes for 9 human candidates with and without shoes: measurement data, evaluation scripts and results
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 18)
Data from SBO21 campaign taking place from 2021-07-28 - 2021-12-27 at Sonnblick Observatory. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Source Data of all Figures of the publication "Understanding the Effect of Vinylene Carbonate on SEI Formation, Morphology and Stability on Lithium Metal Anodes" published in Energy Storage Materials.
Understanding the Effect of Vinylene Carbonate on SEI Formation, Morphology and Stability on Lithium Metal Anodes (Research Data)
Processed micro-tomographic scan of the ant OUTGROUP_Apoidea sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data accompanies the paper "Engineering Top-Down Weight-Balanced Trees" at ALENEX 2020. The data set contains all experimental results as well as our real-world input data. See the file Readme.txt for details on the contained data as well as the file format.
Dataset accompanying "Engineering Top-Down Weight-Balanced Trees"
Datensatz zu der Publikation "An NMR-compatible microfluidic platform enabling in situ electrochemistry". DOI: 10.1039/D0LC00364F
Dataset to the publication 'An NMR-compatible microfluidic platform enabling in situ electrochemistry'
Processed micro-tomographic scan of the ant Discothyrea patrizii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Okinawa Institute of Science and Technology Graduate University
Synchrotron X-ray microtomographic data of the female and male heads of four species of histerid beetles (Margarinotus brunneus, Margarinotus striola succicola, Saprinus semistriatus, and Saprinus planiusculus) analyzed in Bajerlein et al. 2025. The original tomograms were aligned, cropped and converted to 8 bit.
Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Bologna, Italy
Data from CORONA campaign taking place from 2020-11-16 - 2021-02-25 at KIT Campus North. This dataset represents the raw data and the processed data as created by the PIA software v3.0.0 (https://doi.org/10.5281/zenodo.15592883).
Leibniz Universität Hannover (Uni Hannover)
All data is given as txt files named after the figure it is used in as well as aditional information needed to clarify the corresponding measurement condition.
Research Data of the Publication *Inductive loops in impedance spectra of PEM water electrolyzers*
Processed micro-tomographic scan of the ant Stigmatomma afrc-tz05, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Physik (APH), Karlsruher Institut für Technologie (KIT)
Design Data: Height Profiles of the printed optical elements (open as png or with Matlab), open Jobs with GrayScribeX or NanoPrintX, Scripts written in Matlab Dissertation: LaTeX files for the written dissertation Measurement data: SEM images as *.tif files, Surface topographies as *.sur files from the Marsurf confocal-optical microscope, also converted to *.mat files for compatibility with Matlab. ToolS: Code written in Matlab for the derivations of the topographies or the analysis LabBook as OneNote file
Micro-Optical Elements used for Single-Molecule Raman Spectroscopy and as Scintillators
This dataset of scans was used in a publication that deals with the computational determination of fiber volume contents from µCT scans. Specimens from two carbon fiber reinforced polyamide 6 plaques are used that were produced in the long fiber reinforced thermoplastic direct (LFT-D) process. From the first plaque, three specimens each from both the charge and flow area of the plaque are included with dimensions of 10 mm $\times$ 10 mm $\times$ 3 mm, 20 mm $\times$ 20 mm $\times$ 3 mm and 30 mm $\times$ 30 mm $\times$ 3 mm, respectively. From the second plaque nine specimens were extracted in a regular 3 $\times$ 3 grid all with the dimensions 25 mm $\times$ 25 mm $\times$ 3 mm. Exact cutting plans can be taken from the publication. The specimens are cut out of the plaques through waterjet cutting. The material constituents, with which the final CF-PA6-LFT-D plaques were manufactured, are Zoltek PX35 commercial carbon fibers and a PA6 by the company DOMO. The scans of the first plaque were done with a Zeiss Metrotom 800 (cone-beam) μCT system at wbk Institute of Production Science at KIT with the flat panel detector PaxScan2520V with 1536 pixel $\times$ 1920 pixel. The samples of the second plaque were scanned in an YXLON-CT (Yxlon International CT GmbH, Hattingen, Germany) precision μCT system at Institute for Applied Materials (IAM-WK) at KIT with a μ-focus X-ray transmission tube with tungsten target and a PerkinElmer (Waltham, MA, USA) Y.XRD1620 flat-panel 2048 pixel $\times$ 2048 pixel detector. More details can be found in the corresponding publication.
The 15 scans are available as .raw- and .mhd-files, which can be read in Python with, e.g., the SimpleITK package, or in ImageJ (FIJI). The entirety of the scans are available twice: One set only has small brightness and contrast adjustments and cutting at the edges, but is otherwise in the original 16 bit data format. This set was used for the training of the convolutional neural network. The other set was cut more and is converted into 8 bit, which was used for the thresholding algorithm.
Computed tomography scans of 15 different carbon fiber reinforced polyamide 6 specimens (both original files (16 bit) and files of further cut scans (8 bit))
Processed micro-tomographic scan of the ant Monomorium chinense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorymyrmex sp 1 insanus group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Further details can be found in this publication: Mauder, M., Genzel, S., Fu, J., Kiese, R., Soltani, M., Steinbrecher, R., Kunstmann, H., Zeeman, M., Banerjee, T., Roo, F. De, De Roo, F., Kunstmann, H. and Zeeman, M.: Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations, Hydrol. Process., 32(October), 39–50, doi:10.1002/hyp.11397, 2018.
Hourly data of evapotranspiration of Graswang and Fendt for 2013 and 2014
Processed micro-tomographic scan of the ant Acromyrmex lobicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set consists of a csv file containing the coordinates of the pattern selected by the user and the ICON-ART simulation used in the corresponding paper, consisting of 730 individual model time steps. With the model simulation and csv file, the user can follow the instructions for the command line operations in the paper to run the RICHARD algorithm.
Here, we provide the input dataset, used for the introduction of version 1.0 of the RICHARD algorithm, a Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data, e.g. in satellite measurement datasets (level-2 and above) or atmospheric chemistry model output. The overall goal of the algorithm is to identify "hotspot" areas in which local enhancements of an atmospheric constituent can only occur due to strong local emissions. To detect hotspot areas, we use a mathematical method that combines spatiotemporal proxy data for calibration purposes and a selection algorithm in a novel way.
Input Dataset for RICHARD 1.0 - Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data
On Next-Generation Multi-Focus 3D Laser Printing
# Thermal Statistics of Turbulent Forced Convection Pipe Flow for Azimuthally Inhomogeneous Thermal Boundary Conditions This database features thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow. The wall heat flux is prescribed to be adiabatic on one half of the pipe and constant ("halfconst") or sinusoidal ("halfsin") on the other half. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Frohnapfel. "Azimuthally inhomogeneous thermal boundary conditions in turbulent forced convection pipe flow for low to medium Prandtl numbers". International Journal of Heat and Fluid Flow. 2019 ## Contents - Global Nusselt numbers - Wall temperature and local Nusselt number - Temperature evaluated at five azimuthal locations - Turbulent heat fluxes evaluated at five azimuthal locations - Temperature variance evaluated at five azimuthal locations - Turbulent Prandtl number
This database contains numerical results of well-resolved large-eddy simulations of azimuthally inhomogeneous thermal boundary conditions in a fully developed forced convection pipe flow. Please refer to the README for further information.
Thermal Statistics of Turbulent Forced Convection Pipe Flow for Azimuthally Inomogeneous Thermal Boundary Conditions
This dataset of MIPAS/ENVISAT VMR data and corresponding atmospheric 2D circulation fields supplements the publication 10.5194/acp-2020-72 and was computed using the ANCISTRUS software provided in 10.5445/IR/1000127728. The circulation fields are exemplary test cases for the monthly means March to April 2005, February to March, August to September, and September to October 2010. The figures used in the publication are linked into the directory Figures/. The data provided is licensed under the terms of CC BY-NC-ND 4.0 International, see file LICENSE.
This dataset provides the supplementary MIPAS VMR data and resulting atmospheric circulation fields for publication 10.5194/acp-2020-72, using the software provided in 10.5445/IR/1000127728.
Supplement: MIPAS VMR data and circulation fields for publication 10.5194/acp-2020-72
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V3 (videos)
Processed micro-tomographic scan of the ant Myrmoteras sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Spatial variables of runs at 00 UTC. No observational data base included. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Processed micro-tomographic scan of the ant Myrmelachista sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.4.0) has to be installed, cf. https://www.dealii.org/9.4.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main euler to execute the code. This performs the computations and generates the files error_space_Q1_ritz.txt error_space_Q2_ritz.txt error_space_Q3_ritz.txt error_time_ImplEuler_ritz.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
This code is used for the numerical experiment in Section 6 of the preprint "Maximum norm error bounds for the full discretization of non-autonomous wave equations" by Benjamin Dörich, Jan Leibold, and Bernhard Maier.
Code to "Maximum norm error bounds for the full discretization of non-autonomous wave equations"
Processed micro-tomographic scan of the ant Acanthognathus cf ocellatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dataset contains INP concentration data measured at Sammaltunturi, Lapland, Finland in 2023. The INP concentration is determined via the Ice Nucleation Spectrometer of the Karlsruhe Institute of Technology (INSEKT) and normalized to the volume of air sampled. Uncertainties represent the 95 % confidence interval and data is provided on a event-based grid, i.e. a new data point is given for each freezing event.
INSEKT, ice nucleation, ice-nucleating particle, INP, Arctic
Data for "Locally emitted fungal spores serve as high temperature ice nucleating particles in the European sub-Arctic" by Gratzl et al. 2025
Processed micro-tomographic scan of the ant Neivamyrmex punctaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw friction data as well XRd data from CuMn alloys. SEM and STEM images of these calloys after tribological loading
SEM, FIB, STEM images. XRD data. Raw Friction data
This data accompanies the Paper "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes".[0] The raw data which this data set is based on, is the HIPE dataset[1], which can be found at https://www.energystatusdata.kit.edu/hipe.php . In the accompanying publication, you can find an in-depth description of the data, how it was gathered, what types of machines were covered, etc. This data package contains: * The instances of the four test sets in [0]. These can be found in the subfolder "instances". The "PS_Nonuniform", "PS_Uniform", "PSG" and "OM" subfolders contain the 450 instances of each set, one instance per file. The file format is explained in the "file_format.{md, html, pdf}" files. * Information about our computational results as a SQLite3 database in the "results" subfolder. Information about the database structure can be found in the "db_structure.{md, html, pdf}" files. [0] Lukas Barth, Veit Hagenmeyer, Nicole Ludwig, and Dorothea Wagner. 2018. How much demand side flexibility do we need? Analyzing where to exploit flexibility in industrial processes. In Proceedings of ACM eEnergy Conference (eEnergy’18). ACM, New York, NY, USA, 20 pages. (to appear) [1] Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, and Klemens Böhm. 2018. HIPE – an Energy-Status-Data Set from Industrial Production. In Proceedings of ACM e-Energy (e-Energy ’18). ACM, New York, NY, USA, 5 pages. (to appear)
Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"
Cloud variables of the warm bubble and semi-idealized simulations at hourly resolution, plus eight sensitivity experiments for the semi-idealized setup. Variable descriptions and units are given in the headers of the netcdf files. The naming of the folders corresponding to the sensitivity runs is as follows: semi_ideal_noicemult, semi_ideal_N0_x_0p01, semi_ideal_N0_x_0p1, semi_ideal_N0_x_10,semi_ideal_N0_x_100, semi_ideal_N0_x_1000, semi_ideal_T_2K, semi_ideal_TD_2K contain model output of the sensitivity runs with switched off ice multiplication, scaled heterogeneous ice formation by 0.01, 0.1, 10, 100 and 1000 and an increase in the near-surface temperature or the dewpoint temperature in the boundary layer by 2 K each, respectively. For data with higher time resolution, please contact the authors.
Cloud top phase distributions of simulated deep convective clouds
Processed micro-tomographic scan of the ant Brachymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset contains 3D geometries of tectonic faults in Germany as mesh data. There are three fault sets: • Vertical fault set: Vertical_Fault_Set • Andersonian fault set containing: Andersonian_Normal_Faults, Andersonian_Thrust_Faults and Andersonian_Strike_Slip_Faults • Semi-Realistic fault set containing: Semi_Realistic _Normal_Faults, Semi_Realistic_Thrust_Faults and Semi_Realistic _Strike_Slip_Faults The three fault sets are of increasing complexity, however their accuracy is limited due to the large scale and the sparse availability of reference data. The data sets are given as .txt files that can be imported to Tecplot EX 2019 using the freely available AddOn GeoStress. If the files should be opened using Hypermesh or used as an input file for Abaqus the following edits have to be made: • The data type has to be changed to .inp • The Line \*NAME has to be deleted • The document must end with \*\*\*\*\* instead of \*\*
The dataset contains 3D geometries of major tectonic faults in Germany as mesh data in .txt format.
3D fault sets of Germany and adjacent areas
Processed micro-tomographic scan of the ant Ocymyrmex barbiger, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Nanotechnologie, Helmholtz-Institut Ulm
The data contains Digital Micrograph files in the .dm3 and .dm4 formats and Velox files in the .vmd format. Digital Micrograph (DM) data can be open either by installing the offline and free version of the DM software from the Gatan website or by using the open access Fiji software. Velox data can be open with a special script available for DM. Experimental details: In order to perform TEM measurements the sample was prepared inside an argon field glovebox and then transferred to the microscope using a vacuum transfer holder in order to prevent samples from extensive air exposure. The dry powder of the samples was directly dispersed on the TEM holey carbon membrane without the use of solvents. The measurements were performed using a double aberration corrected and monochromated Themis Z microscope equipped with a Gatan GIF Continuum 970 spectrometer and a K3 IS camera. High-resolution STEM-HAADF images were recorded using a collection angle range of 63-200mrad. EELS spectrum imaging data cubes were acquired with a probe convergence angle of 30 mrad and a probe current of 0.5nA. The pixel size was around 1 nm and a dwell time of 0.1s per pixel for all the data series. The camera length was 30 mm and the spectrometer aperture was set to 5 mm resulting in a collection angle of about 40 mrad. All EELS data was acquired in dual-EELS mode containing both the core loss and the low loss spectra. All core loss spectra were realigned and deconvoluted based on the low loss spectra pairs prior to any data analysis.
TEM original data of the LNO (pristine and heat treated) samples
Optimizing the Performance of Printed Indium Oxide Thin-Film Transistors Through Gallium Incorporation
Folder Contains the Images, and the text file used for the corresponding images
Topologically optimized magnetic lens for magnetic resonance applications (DataSet)
-------------------------------------------------------------------------------- STATISTICS OF TURBULENT CHANNELS WITH AND WITHOUT DRAG REDUCTION AT CONSTANT POWER INPUT -------------------------------------------------------------------------------- ***This database features:*** * high quality turbulent flow statistics for canonical channel flows driven at Constant Power Input (CPI), Constant Flow Rate (CFR) and Constant Pressure Gradient (CPG) * global energy budgets and single point Reynolds stress budgets of turbulent channels driven at CPI in their canonical state or in a drag-reduced state achieved via spanwise wall oscillations or opposition control * a comprehensive study of several predetermined and feedback active strategies for turbulent drag reductions in channel, comprising parametric studies of the increase in energy efficiency for different values of several control parameters -------------------------------------------------------------------------------- ***Acknowledgment:*** Support through the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 is gratefully acknowledged. Computing time has been provided by the computational resource ForHLR Phase I funded by the Ministry of Science, Research and the Arts, Baden-Württemberg and DFG. -------------------------------------------------------------------------------- ***References:*** * D. Gatti, A. Cimarelli, Y. Hasegawa, B. Frohnapfel & M. Quadrio, (2018) "Global energy fluxes in turbulent channels with flow control", Journal of Fluid Mechanics, Vol. 857, pag. 345-373, doi: doi.org/10.1017/jfm.2018.749 * M. Quadrio, B. Frohnapfel & Y. Hasegawa, (2016) "Does the choice of the forcing term affect flow statistics in DNS of turbulent channel flows?", European Journal of Mechanics B. / Fluids, Vol. 55, pag. 286-293, doi: doi.org/10.1016/j.euromechflu.2015 * Y. Hasegawa, M. Quadrio & B. Frohnapfel, (2014) "Numerical simulation of turbulent duct flows with constant power input", Journal of Fluid Mechanics, Vol. 750, pag. 191-209, doi: doi.org/10.1017/jfm.2014.269 * B. Frohnapfel, Y. Hasegawa & M. Quadrio, (2012) "Money versus time: evaluation of flow control in terms of energy consumption and convenience", Journal of Fluid Mechanics, Vol. 700, pag. 406-418 doi: doi.org/10.1017/jfm.2012.139 -------------------------------------------------------------------------------- ***Content:*** reference-stats --> statistics of turbulent channels at Retau=200, driven at Constant Flow Rate (CFR), Constant Pressure Gradient (CPG) and Constant Power Input (CPI). energy-budgets --> global energy budgets and single-point Reynolds shear stress budgets of turbulent channels driven at Constant Power Input (CPI) with drag reduction achieved via spanwise wall oscillations (Quadrio & Ricco, JFM 2004) or opposition control (Choi, Moin & Kim, JFM 1994). flow-control-strategies --> parametric studies for finding the maximum theoretical efficiency of following strategies for turbulent drag reduction at Constant Power Input (CPI): StTW-fz: streamwise-travelling waves of spanwise body force StTW-w : streamwise-travelling waves of spanwise wall velocity SpTW-fz: spanwise-travelling waves of spanwise body force SpTW-w : spanwise-travelling waves of spanwise wall velocity OC-v: opposition control based upon wall-normal velocity BF-w: near-wall body force damping of spanwise velocity fluctuations Refer to the readme files in each subdirectory for further information on each database. -------------------------------------------------------------------------------- Changelog: Apr-23-2018: database uploaded -------------------------------------------------------------------------------- davide.gatti@kit.edu bettina.frohnapfel@kit.edu maurizio.quadrio@polimi.it ysk@iis.u-tokyo.ac.jp andrea.cimarelli@unimore.it
This database contains the result of the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 "Flow Control under Constant Power Input (CPI)". Please refer to the README below for further information.
Turbulence Turbulent flow Constant Power Input Drag Reduction
Turbulent flow statistics at Constant Power Input (CPI) with and without drag reduction
Processed micro-tomographic scan of the ant Acanthostichus brevicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The transition from traditional 2D cell culture models to physiologically relevant 3D models has revolutionized biomedical research. Hydrogels are frequently used to produce realistic 3D models with applications in tissue engineering, disease modeling and high-throughput screenings. However, integrating 3D cultures into high-throughput screening workflows presents challenges, including automation compatibility and cost constraints. Addressing these challenges requires innovative approaches that enable miniaturization, automation, and cost reduction while maintaining experimental fidelity. The Droplet Microarray (DMA) platform, based on hydrophilic-superhydrophobic surface patterning, facilitates the formation of homogeneous nanoliter-hydrogel arrays containing cells or spheroids. This method allows rapid dispensing of hundreds of nanoliter-hydrogel droplets with precise control over volume and cell density, reducing reagent consumption and offering high-throughput applications. The stable nanoliter-hydrogel array on a chip allows for experimental procedures like washing and medium immersion. We demonstrated that spheroid-containing droplets can be gelled at any point of the experiment, enabling the fixation of cell structures on the surface. Additionally, selective gelation of individual droplets enables spheroid sorting by stabilizing desired droplets and pooling the others. This method holds the potential for high-throughput and miniaturized workflows in 3D microenvironments, thereby advancing research in different fields such as cell, cell spheroid or organoid screenings, drug screenings and precision medicine.
This document provides an overview of the structure and content of the raw data files associated with the figures in this study. Data Organization The raw data is organized into folders corresponding to the figures in the manuscript. Each folder is named according to the figure number (e.g., Figure_1, Figure_2, etc.). Subsections within each figure are denoted by letters (e.g., 1A, 1B, 1C, etc.) and are stored as subfolders within the respective figure folder. Folder Structure ├── Figure_1/ │ ├── A/ │ ├── B/ │ └── C/ │ ├── Figure_2/ │ ├── A/ │ ├── B/ │ └── C/ │ └── ... (and so on for Figures 3-5) Data Format • Excel Files (.xlsx): Used for numerical values and experimental measurements. • Image Files (.tif, .png, .jpg): Raw or processed images for figures involving microscopy or visual data. Data Content Each dataset corresponds to the experimental results shown in the associated figure. The following details are included where applicable: • Experimental conditions (e.g., drug concentration, time point). • Replicates and repeats. Contact For questions or additional details about the raw data, please contact: Author Name: Maryam Salarian Email: Maryam.salarian@kit.edu Institution: Institute of Biological and Chemical Systems–Functional Molecular Systems (IBCS–FMS), Karlsruhe Institute of Technology (KIT), Germany
Nanoliter Hydrogel Array for Cell Screening and Cell Spheroid Sorting
Processed micro-tomographic scan of the ant Tetramorium peringueyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulation Results for the Evaluation of Strategies for an Adaptive Grid Control System Using Smart Buildings (Updated)
This archive provides supplementary materials for the doctoral thesis Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models. For an elaborate explanation of the contents please see README.md.
Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models - Supplementary Materials
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V5 (videos)
Processed micro-tomographic scan of the ant Anochetus horridus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Typhlomyrmex rogenhoferi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
All figures were created based on the data attached here. The folder is organized in the subfolders DS (diffuse scattering, CrysAlis suggested for analysis), transport (.txt or .dat format), specific heat (raw data from PPMS and extracted data in .txt format), XRD (x-ray diffraction, origin file) and phase diagram (all transition temperatures, origin file).
Impact of Ca Substitution on Competing Orders in Superconducting BaNi2As2
Multi-photon 3D laser micro-printed plastic scintillators for applications in low-energy particle physics
Processed micro-tomographic scan of the ant Tetraponera rufonigra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis iberica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex major, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523-1371, USA
Atmospheric, Climate, & Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
Max Planck Institute for Chemistry, Mainz, 55128, Germany
Department of Chemistry, Aarhus University, DK-8000 Aarhus, Denmark
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN 47907, USA
UK Health Security Agency, Oak Park Lane, Cookridge, Leeds, West Yorkshire LS16 6RW, UK
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, 76344, Germany
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, USA
Atmospheric, Climate, & Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Now at: Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Department of Life, Earth, and Environmental Sciences, West Texas A&M University, Canyon, TX 79016, USA
Department of Earth and Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK; 4National Centre for Atmospheric Sciences, University of Manchester, Manchester, M13 0PL, UK
The data files named “Fig1” to “Fig9” are related to Figures 1 to 9 in the main manuscript, respectively. The file named “FigS2-7” is related to the Figures in the supporting information. The data originates mainly from measurements by single particle mass spectrometers (SPMSs).
Dataset for the paper entitled "The Fifth International Workshop on Ice Nucleation Phase 1 (FIN-01): Intercomparison of Single Particle Mass Spectrometers."
Helmholtz-Zentrum Berlin für Materialien und Energie (HZB)
This is the data generated during and/or analyzed during the study "Industrialization of Perovskite Solar Cell Fabrication: Strategies to Achieve High-Throughput Vapor Deposition Processes". The data is attributed to each figure in the original publicaton. The code for simulating the production throughput has been deposited and is freely available at https://github.com/JulianPetry/Throughput-calculation. The code in the repository is associated with a GNU General Public License (GPL 3.0).
Vapor phase deposition processes hold great potential for industrializing the deposition of perovskite-based absorbers, offering a pathway to commercialization. Specifically, the scalability, ability to produce conformal coatings, and established use in industrial processing of optoelectronic devices lead to the assumption that thermal sublimation is inherently suitable for commercial-scale perovskite solar cell production. However, ensuring economic viability requires a detailed assessment of achievable production throughputs, a key factor in achieving cost-effective large-scale manufacturing. This work bridges the gap between research focus and industry needs by introducing and analyzing three strategies to increase production throughput in an industrial context: (1) We investigate the thermal stability of key perovskite precursor materials to provide guidelines for safe operation by mitigating decomposition risks. (2) We critically evaluate the industrial feasibility of common deposition modes, including co-deposition and sequential deposition as scaling from laboratory to industrial production introduces new challenges in terms of material utilization and compositional material homogeneity. In addition, we analyze the static deposition rate profiles of key perovskite precursor materials and use this data to conceptualize a linear sublimation source. (3) A simulation-based approach allows an estimation of the horizontal scale-out required to achieve a production throughput of 1000 M10-size wafers per hour, which is considered the minimum threshold for pilot-scale production. This analysis explores strategies to achieve a fabrication throughput that is three orders of magnitude higher than the current academic discussion of accelerated vapor phase deposition based on laboratory-scale equipment. The sublimation of the organic precursor material is identified as a critical bottleneck and alternative deposition methods for achieving high production throughput are discussed. By addressing these key technical and economic challenges, our study offers practical insights for the transition of sublimation-based perovskite deposition from laboratory research to industrial-scale manufacturing.
Research data for: Petry et al. - Industrialization of Perovskite Solar Cell Fabrication: Strategies to Achieve High-Throughput Vapor Deposition Processes
This is the Version 2 of databank of satellite vertical profiles of the water vapour, that have participated in SPARC WAVAS assessment, in a harmonized format, WAVAS_SAHAR. All vertically-resolved satellite measurements of the tropospheric and stratospheric water vapour in the time period between 1984 and 2018 are included. The databank consists of water vapour profiles retrieved from each instrument, which are screened for invalid data according to recommendations of instruments’ teams, then transformed into a common unit and interpolated on a common grid. The data versions included are those existing at the moment of WAVAS exercise, hence not always the most recent at the time of publishing. The only difference of version 2 of the databank to the initial version of WAVAS-SAHAR is the MLS entry on ALT grid : in the version 2 the regridding was performed using the geometrical altitudes from Derived Meteorological Products (DMPs) for MLS profiles.
There exist two versions of the databank: volume mixing ratio profiles on common pressure grid and volume mixing ratio profiles on common altitude grid. The pressure grid corresponds to vertical sampling of appr. 1 km below 20 km and appr. 2–3 km above 20 km; the altitude grid has 1-km step. The altitude range of the profiles provided varies from instrument to instrument. Geolocation, uncertainty estimates when available, and vertical resolution are provided for each profile. For some instruments, quality-related optional parameters are provided as well. This is one stop source for satellite vertical profiles of water vapour for the period 1984–2018. This databank is useful for a wide range of atmospheric applications, targets a wide range of users from modellers to scientists, and can be interesting for purposes of validation, assimilation, data merging, and atmospheric research. The databank WAVAS_SAHAR has been created in the framework of the European Space Agency Climate Change Initiative project.
Water vapour profiles from WAVAS SAtellite component in HARmonized format (WAVAS_SAHAR) - Version 2
Processed micro-tomographic scan of the ant Carebara urichi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from CALISTHO21 campaign taking place from 2021-10-12 - 2021-11-29 at Mt. Helmos HAC2 station. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Raw data that was collected for the use in the publication Enhancing the oxidative cleavage of vicinal diols on Fe-ZSM-5 catalysts with hierarchical porosity
Raw data for Enhancing the oxidative cleavage of vicinal diols on Fe-ZSM-5 catalysts with hierarchical porosity
Processed micro-tomographic scan of the ant Aphaenogaster gracillima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set covers total load, hourly generation and electric efficiency of power plants >100MW in Germany 2017. Based on this data, the four jupyter-notebooks derive average carbon dioxide emissions factors for each hour and marginal emission factors for twenty load levels. The third script contains a case study for scheduling battery electric vehicles based on short-term forecasts of marginal emission factors.
Estimation of Marginal CO2 Emission Factors in Germany 2017
# `counterSharp` Experiment and Play Environment This repository contains the reproducible experimental evaluation of the [counterSharp tool](https://github.com/samysweb/counterSharp). The repository contains a Docker file which configures the counterSharp tool, two model counters (ApproxMC and Ganak) as well as the [tool by Dimovski et al.](https://github.com/aleksdimovski/probab_analyzer) for our experiments. Furthermore the repository contains the benchmarks on which we ran our experiments as well as the logs of our experiments and scripts for transforming the log files into LaTeX tables. ## Getting Started In order to pull and run the docker container from docker hub you should execute `docker run`. Or, you can load the archived and evaluated artifact into docker with ``` docker load < countersharp-experiments.tar.gz ``` If the image is loaded, `docker run` opens a shell allowing the execution of further commands: ```bash docker run -it -v `pwd`/results:/experiments/results samweb/countersharp-experiments ``` By using a volume, the results are written to the host system rather than the docker container You can remove the volume mounting option (`-v ...`), and create `/experiments/results` inside the container if you can spare the results. If you are using the volume and run into permission problems, then you need to give rights via SELinux: `chcon -Rt svirt_sandbox_file_t `pwd`/results`. This will create a writable folder `results` in your current folder which will hold any logs from experiments. A minimal example can be executed by running (this takes approximately **70 seconds**): ```bash ./showcase.sh ``` This will create benchmark log files for the benchmarks `for_bounded_loop1.c` and `overflow.c` in the folder [`results`](results). For example, `/experiments/results/for_bounded_loop1.c/0X/` contains five folder for the five repeated runs of the experiments on this file. Each folder `/experiments/results/for_bounded_loop1.c/0X/` contains the folders for the different tools, which includes the log and output files. A full run can be executed by running (this takes approximately a little under **2 days**): ```bash ./run-all.sh ``` Additionally single benchmarks can be executed through the following commands: ```bash run-instance approx program.c "[counterSharp arguments]" # Runs countersharp with ApproxMC on program.c run-instance ganak program.c "[counterSharp arguments]" # Runs countersharp with Ganak on program.c Probab.native -single -domain polyhedra program.c # Runs the tool by Dimovski et al. for deterministic programs Probab.native -single -domain polyhedra -nondet program.c # Runs the tool by Dimovski et al. for nondeterministic programs ``` For example we can execute `run-instance approx /experiments/benchmarks/confidence.c "--function testfun --unwind 1"` to obtain the outcome of counterSharp and ApproxMC for the benchmark `confidence.c`. Note that the time information produced by runlim is always only for one part of the entire execution (i.e. for counterSharp or one ApproxMC run or one Ganak run). The script `run-instance` is straightforwarded, we have the call to our tool [counterSharp](https://github.com/samysweb/counterSharp): ```bash python3 -m counterSharp --amm /tmp/amm.dimacs --amh /tmp/amh.dimacs --asm /tmp/asm.dimacs --ash /tmp/ash.dimacs --con /tmp/con.dimacs -d $3 $2 ``` which is followed by the call of `ApproxMC` oder `ganak`. ## Benchmarks The benchmarks are contained in the folder [`benchmarks`](benchmarks) which also includes an overview on the sources and modifications to the benchmarks Note that benchmark versions for the tool by Dimovski et al. are contained in folder [`benchmarks-dimovski`](benchmarks-dimovski) ## Benchmark Results The results are contained in the folder [`results`](results) in which all logs from benchmark runs reside. The log files from the evaluation are not available in the Docker Image, but just on GitHub. The logs are split-up by benchmark instance (first level folder), run number (second level folder) and tool (third level folder) For example, the file `results/bwd_loop1a.c/01/approxmc/stdout.log` contains the stdout and stderr of running approxmc on the instance `bwd_loop1a.c` in run `01` ### Machine Details All runs were executed on a Linux machine housing an Intel(R) Core(TM) i5-6500 CPU (3.20GHz) and 16GB of memory. Note that for every benchmark log `01/counterSharp/init.log` contains information on the machine used for benchmark execution as well as on the commits used in the experiments. ## Running benchmarks For all cases of automated benchmark execution we assume a CSV file containing relevant information on the instances to run: The first column is the benchmark's name, the second column are parameters passed to counterSharp (see `instances.csv`) or the tool by Dimovski (see `instances-dimovski.csv`). All scripts produce benchmarking results for "missing" instances, i.e. instances for which no folder can be found in the `results` folder. - Run counterSharp on the benchmarks: `run-counterSharp instances.csv` - Run [ApproxMC](https://github.com/meelgroup/ApproxMC) on benchmarks: `run-approxmc instances.csv` - Only after counterSharp has been run - Run [GANAK](https://github.com/meelgroup/ganak) on benchmarks: `run-ganak instances.csv` - Only after counterSharp has been run - Run [Dimovski's tool](https://github.com/aleksdimovski/probab_analyzer) on benchmarks: `run-dimovski instances-dimovski.csv` ## Log summarization Summarization is possible through the python script in `logParsing/parse.py` within the container. The script takes as input a list of benchmarks to process and returns (parts of) a LaTeX table. Note, that there must exist logs for all benchmarks provided in the CSV file for the call to succeed! - **To obtain (sorted) results for deterministic benchmarks:** `cat logParsing/deterministic-sorted.csv| python3 logParsing/parse.py results aggregate2` - **To obtain (sorted) results for nondeterministic benchmarks:** `cat logParsing/nondeterministic-sorted.csv| python3 logParsing/parse.py results nondet` ## Building the docker container All tools are packaged into a Dockerfile which makes any installation unnecessary. There is, however, the need for a running Docker installation. The `Dockerfile` build depends on the accessibility of the following GitHub Repositories: - [CryptoMiniSat](https://github.com/msoos/cryptominisat) - [ApproxMC](https://github.com/meelgroup/approxmc) - [Ganak](https://github.com/meelgroup/ganak) - [Probab_Analyzer](https://github.com/aleksdimovski/probab_analyzer) - [counterSharp](https://github.com/samysweb/counterSharp) The Docker image is hosted at [Dockerhub](https://hub.docker.com/repository/docker/samweb/countersharp-experiments).
Evaluated Artifact for "Quantifying Software Reliability via Model-Counting"
In many cases, the hybridization of two or more excitation modes in solids has led to new and useful dispersion relations of waves. Well-studied examples are phonon polaritons, plasmon polaritons, particle-plasmon polaritons, cavity polaritons, and magnetic resonances at optical frequencies. In all of these cases, the lowest propagating mode couples to a finite-frequency localized resonance. Herein, the unusual metamaterial phonon dispersion relations arising from the hybridization of an ordinary acoustical phonon mode with a back-folded soft or easy phonon mode of a monomode elastic metamaterial are discussed. Conceptually, the single easy mode can have strictly zero wave velocity. In reality, its wave velocity is very much smaller than that of all other modes. Considering polymeric 3D printed elastic monomode metamaterials at ultrasound frequencies, it is shown theoretically and experimentally that the resulting pronounced avoided crossing, with a frequency splitting comparable to the mid-frequency, leads to backward-wave behavior for the lowest band over a broad frequency range, conceptually at zero loss.
Dispersion Engineering by Hybridizing the Back-Folded Soft Mode of Monomode Elastic Metamaterials with Stiff Acoustic Modes
Processed micro-tomographic scan of the ant Pheidole oxyps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data for the publication: Temporal decay of secondary motions in turbulent channel flows
Processed micro-tomographic scan of the ant Prionopelta punctulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Gif ﬁles (also with pdf versions) that demonstrate the trade-oﬀ problem, so how the values of tidal parameters change for different trade-off parameter, with indication of the point on the curve. This is the presentation of Figs. 1-3 (main paper), extended. Six different movies correspond to three different iterations, model parameters ordered with increasing amplitudes and frequency, separately. The analysis was performed on gravity records from 11.5 years of superconducting gravimeter at the BFO (SG056-L sensor). For details see original paper and its suplementary file: https://doi.org/10.1007/s00190-023-01770-w
Animated gifs and corresponding pdfs for trade-off problem for Regularization in Tidal Analysis (RATA)
Diese Software erlaubt das halbautomatische Analysieren bestehender Veröffentlichungen zum Thema Globale Produktionsnetzwerke mit Schwerpunkt Digitalisierung. Die Software erlaubt die Auswertung dieser Paper um thematische Trends zu identifizieren.
DE: Zur Ausführung wird Jupyter Notebook benötigt und die in der requirements.txt angegebenen Abhängigkeiten. Die Ausführung wird im Notebook erläutert und erfolgt top-down. ENG: Jupyter Notebook and the dependencies specified in the requirements.txt are required for execution. The execution is explained in the notebook and takes place top-down.
This software allows the semi-automatic analysis of existing publications on the topic of global production networks with a focus on digitization. The software allows the evaluation of these papers in order to identify thematic trends.
Identifying Digitalization Trends in Global Production Networks - A Python Data Mining Tool
Institut für Quantenmaterialien und -technologien
Understanding the organizing principles of interacting electrons and the emergence of novel electronic phases is a central endeavor of condensed matter physics. Electronic nematicity, in which the discrete rotational symmetry in the electron fluid is broken while the translational one remains unaffected, is a prominent example of such a phase. It has proven ubiquitous in correlated electron systems, and is of prime importance to understand Fe-based superconductors. Here, we find that fluctuations of such broken symmetry are exceptionally strong over an extended temperature range above phase transitions in BaNi$_2$(As$_{1−x}$P$_x$)$_2$ , the nickel homologue to the Fe-based systems. This lends support to a type of electronic nematicity, dynamical in nature, which exhibits a particularly strong coupling to the underlying crystal lattice. Fluctuations between degenerate nematic configurations cause a splitting of phonon lines, without lifting degeneracies nor breaking symmetries, akin to spin liquids in magnetic systems
An Electronic Nematic Liquid in BaNi2As2
Institut für QuantenMaterialien und Technologien
Raw data of the calibration with enstatite and raw data of samples c1,c2 and c3. The data were measured at beamline P02.2 (PETRA III, DESY) using a Perkin Elmer XRD 1621 detector and a beam energy of 42.71 keV. At each pressure and temperature, wide scans with 0.5 s exposures and 0.5° intervals and -25° to +30° rotation were performed. Beamtime for these measurements was allocated for proposal I-20200263.
We will investigate the effect of high pressure on the crystal structure and charge density waves (CDWs) of superconducting BaNi2As2, a candidate system for charge-driven electronic nematicity. Chemical substitutions have shown the effective tuning of its electronic ground state by chemical pressure and have indicated the unconventional nature of the observed CDWs. The microscopic origin of the CDWs, their interplay and their association with the nematic instability remain to be clarified.
High pressure study of charge density wave ordering in BaNi₂As₂
Tabletop Microplotter - Metallic Sample Holder (in-situ Curing Example)
Processed micro-tomographic scan of the ant Cardiocondyla kagutsuchi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica neogagates, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Apterostigma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium semilaeve, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 4 of 4
Processed micro-tomographic scan of the ant Formica truncorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Repository containing Jupyter Notebooks for data analyses for the thesis ***Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films*** by Lukas Grünewald.
Data-Analysis Notebooks for the Thesis 'Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films'
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated hierarchical porous sample Ni/Al$_{2}$O$_{3}$-ha. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
The data contains the reconstructed tomogram slices in a "*.tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the "*_cutoffs.txt" file. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained using the PtyRex package available at I13-1 beamline with 400 iterations.
Reconstructed ptychographic X-ray computed tomography data of an activated hierarchical porous Ni/Al$_{2}$O$_{3}$ catalyst
This file contains the raw data use in the publication 'Uniaxial Pressure Control of Competing Orders in a High Temperature Superconductor' by H.-H. Kim, S. M. Souliou, M.E. Barber, E. Lefrancois, M. Minola, M. Tortora, R. Heid, N. Nandi, R. A. Borzi, G. Garbarino, A. Bosak, J. Porras, T. Loew, M. König, P.M. Moll, A. P. Mackenzie, B. Keimer, C. W. Hicks and M. Le Tacon. Source code for the first principle calculations is also provided, alongside with the instruction to use them. This code was developed at the Karlsruhe Institute of Technology by Rolf Heid. Any use of the software beyond the context of this publication requires permission of the author.
Uniaxial Pressure Control of Competing Orders in a High Temperature Superconductor
Fraunhofer Institut für System- und Innovationsforschung
Processed micro-tomographic scan of the ant Myrmelachista nodigera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Kristallisation einer Hexadecan-in-Wasser Emulsion unter dem Polarisationsmikroskop
Processed micro-tomographic scan of the ant Cephalotes pinelii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set contains path specifications of three variants of a circuit for driving tests on the driving dynamics area of the KIT Campus Ost. The path specifications are used as input for a vehicle guidance controller to reproducibly let the automated vehicle follow the given path. Additionally, the three circuits are provided in a format that allows the integration of the tracks into the vehicle dynamics simulation tool CarMaker.
Dieser Datensatz enthält Pfadvorgaben von drei Varianten eines Rundkurses für Fahrversuche auf der Dynamik-Testfläche des KIT Campus Ost. Die Pfadvorgaben dienen als Input für eine automatisierte Fahrzeugführungsregelung, um Versuchsfahrzeuge reproduzierbar dem vorgegebenen Kurs folgen zu lassen. Ergänzend dazu sind die drei Kurse auch in einem Format enthalten, welches die Integration der Rundkurse im Gesamtfahrzeugsimulationstool CarMaker ermöglicht.
# Three Variants of Circuits on Driving Dynamics Area of KIT "Campus Ost" The English version can be found below. ## Einleitung Die drei verschiedenen Kurse (*track_01*, *track_02*, *track_03*) unterscheiden sich in einzelnen Abschnitten, sodass je nach Variante z.B. engere Kurven vermieden werden oder längere gerade Abschnitte auftreten. Die Kurse finden in verschiedenen Projekten des Instituts für Fahrzeugsystemtechnik (FAST) und des Schaeffler Hub for Advanced Research am KIT (SHARE am KIT) Anwendung, beispielsweise zur Präsentation der Projektergebnisse im Projekt SmartLoad oder zur Erforschung neuer Ansätze zur Fahrzeugführungsregelung ([Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034)). Der Datensatz enthält die Kurse zum einen in Form einer Pfad-Definition als Input für einen Pfadfolgeregler und zum anderen als Straßen/Szenario-Definition zur Verwendung in der Gesamtfahrzeugsimulation mit CarMaker. ## Format der Pfaddefinition Die Pfade werden definiert über ein Matlab mat-File in Form eines Structure Array, in welchem diskrete Stützstellen des Pfades enthalten sind. Als Diskretisierung wurde ein Abstand zwischen den Stützstellen von ungefähr 0.3m gewählt. Das verwendete Koordinatensystem, in dem die Koordinaten der Stützstellen definiert sind, ist ein rechtshändiges kartesisches Koordinatensystem, dessen z-Achse nach oben zeigt. Dieses hat seinen Ursprung bei den globalen Koordinaten 49.022732549318°N, 8.432433939454015°E. Die X-Achse zeigt in Richtung des Punktes mit den Koordinaten 49.02303283495321°N, 8.431491841757758°E. An jeder Stützstelle sind folgenden Dimensionen des Pfades definiert: - X-Koordinate in m - Y-Koordinate in m - Referenzgeschwindigkeit v in m/s - Pfad-Koordinate s in m - Bahnkrümmung in 1/m - Tangentiale Pfadorientierung in rad ## Rundkurse in CarMaker Die Tracks können in die Gesamtfahrzeugsimulation mit CarMaker eingebunden werden. Somit kann beispielsweise ein Fahrzeugführungsregler anhand der Rundkurse simulativ optimiert werden und später in der Realität auf dem Testgelände validiert werden. Die Tracks sind in zwei unterschiedlichen Arten modelliert. Zum einen als einspurige Straße (Index „Road“) und zum anderen als Mittellinie auf einer Dynamikfläche (Index „Line“). Letztere Variante lässt bei der Simulation größere Abweichungen vom Soll-Pfad zu, ohne dass es zum Abbruch des Simulationsdurchlaufes durch CarMaker kommt, womit sich diese Variante besser zur Entwicklung von Regler-Algorithmen eignet. Die Integration in ein CarMaker Projekt erfolgt durch Kopieren der zwölf Dateien (*Track_01_Line, Track_01_Line.rd5; Track_01_Road; Track_01_Road.rd5;…*) in den CarMaker Projektordner *…\Data\Road*. In der CarMaker GUI kann der Kurs dann unter *Parameters -> Scenario/Road -> Load Road file* ausgewählt werden. Die erstellten *.rd5* Files basieren auf der CarMaker Version 8.0. ## English version: ## Introduction The three different tracks (*track_01*, *track_02*, *track_03*) differ in some sections, so that depending on the variant, e.g. tighter curves are avoided or longer straight sections occur. The circuits are used in various projects of the Institute of Vehicle System Technology (FAST) and the Schaeffler Hub for Advanced Research at KIT (SHARE at KIT), for example to present project results in the SmartLoad project or to research new approaches for vehicle guidance control ([Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034)). The dataset contains the circuits in the form of a path definition as input for a path tracking controller and as a road/scenario definition for use in the vehicle dynamics simulation tool CarMaker. ## Format of the path definition files The paths are defined using a Matlab mat-file in the form of a structure array containing discrete grid points of the path. As discretization a distance between the grid points of about 0.3m was chosen. The coordinate system used to define the grid points is a right-handed cartesian coordinate system with the z-axis pointing upwards. It has its origin at the global coordinates 49.022732549318°N, 8.432433939454015°E. The x-axis points in the direction of the coordinates 49.02303283495321°N, 8.431491841757758°E. The following dimensions of the path are defined at each grid point: - X-coordinate in m - Y-coordinate in m - Reference velocity v in m/s - Path-coordinate s in m - Path curvature in 1/m - Tangential path orientation in rad ## Tracks in CarMaker The tracks can be integrated into the vehicle dynamics simulation tool CarMaker. For example, a vehicle guidance controller can be simulatively optimized using the paths and later validated in reality on the driving dynamics area. The tracks are modeled in two different ways. On the one hand as a single-lane road (index "Road") and on the other hand as a center line on a driving dynamics area (index "Line"). The latter variant allows larger deviations from the target path during the simulation without causing CarMaker to abort the simulation run, which makes this variant more suitable for the development of controller algorithms. The integration into a CarMaker project is done by copying the twelve files *(Track_01_Line, Track_01_Line.rd5; Track_01_Road; Track_01_Road.rd5;...)* into the CarMaker project folder *...\Data\Road*. In the CarMaker GUI the track can be selected under *Parameters -> Scenario/Road -> Load Road file*. The created *.rd5* files are based on CarMaker version 8.0.
Three Variants of Circuits on Driving Dynamics Area of KIT "Campus Ost"
During sliding of metallic surfaces, the near surfaces undergo significant changes in terms of topography, composition and microstructure. Since friction and wear behavior of the materials are strongly influenced by sub-surface deformations, it is fundamental to investigate these effects. Therefore, the present study aims towards a better understanding of the behavior of friction depending on well-defined initial microstructures. By performing sliding experiments on Au-Ni multilayer samples under ultrahigh vacuum (UHV) conditions, we observe that the individual layer thickness of multilayer systems has a strong influence on friction behavior due to the transition in the dominant deformation mechanism near the surface. The experiments reported here provide a new route for lowering the friction force of metallic material systems in dry contact by providing more stable microstructures and alloy formation. Through ultrafine grains present in the alloy formed by mechanical mixing the number of grain boundaries strongly increases and hence, grain boundary-mediated deformation results in the low friction coefficient.
Friction data aquired by the homebuilt UHV microtribometer for a ruby sphere sliding against different Au-Ni multilayer samples. The data includes normal load, friction force and COF as a function of the mulitlayer thickness.
This data belongs to the contribution: "Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project" Grauberger, P.; Voß, K.; Matthiesen, P. Respecting Data Protection & Privacy, it is not possible to provide the original .json-files exported from trello.com. + The .py-file contains the Python-Skript to extract the documentation into an .csv-file. + The .pdf-file contains the printed Python-Skript. + The .xlsx-file shows the raw data extracted from the .json-files by the Pythonscript. The python script exports a .csv-file that is converted to an .xlsx-file during processing due to layout. + The .sav-file shows identical data as in the .xlsx-file but imported into SPSS + The .spv-file displays the statiscal evaluation derived from the .sav-file.
Research data: Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V5 (videos)
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Spatial variables of runs at 12 UTC. No observational data base included. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Processed micro-tomographic scan of the ant Platythyrea punctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole scolioceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera kohmoku, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set includes the following: (i) Lagrangian air parcel trajectories of WCB airstreams and respective properties from each PPE member (ID000-ID069), and (ii) values for the parameter perturbations.
This archive contains warm conveyor belt (WCB) trajectory data from a perturbed parameter ensemble (PPE) presented in the manuscript "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble" published in the Quartely Journal of the Royal Meteorological Society. The study presents a 70-member perturbed parameter ensemble (PPE) built with the Icosahedral Nonhydrostatic (ICON) modelling framework and analyses sensitivities of WCB ascent and its characteristics to perturbations of cloud microphysical parameters and environmental conditions. WCB ascent behaviour and associated properties are quantified based on online trajectories which are included in this archive. Details about parameter perturbations and variables stored along WCB trajectories are provided in the original publication.
(i) WCB trajectories and respective properties Each file (PPE_WCB_trajs_ID*nc; in netcdf format) contains WCB trajectory data from one PPE member, representing the path in space (3D coordinates) and time (time step) of air parcels identified to belong to a WCB as well as characteristics in terms of variables at each time step; data are available 1-hourly and centered relative to the start of the WCB ascent phase at time = 0 h. WCB trajectory information is extended to time = -10 h to time = 58 h relative to the start of the ascent. The following variables are available (see Oertel et al., 2025 for more details): (1) Basic WCB characteristics (longitude, latitude, pressure, altitude, temperature, potential vorticity, specific humidity, simulation lead time) (2) Hydrometeor mass mixing ratios for cloud droplets, rain drops, ice, snow, and graupel (3) Along flow integrated diabatic heating rates (ADH, in K; ADH for first and second saturation adjustment, vapor deposition on snow, ice, and sum of all frozen hydrometeors, riming, CCN activation, evaporation of rain and of melting ice hydrometeors, melting of frozen hydrometeor, freezing of rain, homogeneous freezing of cloud droplets, homogeneous and heterogeneous ice nucleation, long- and shortwave radiation, convection and turbulence parameterisations) (4) Along flow integrated diabatic PV rates (APV, in PVU; APV for first and second saturation adjustment, vapor deposition on sum of all frozen hydrometeors, riming, evaporation of rain, melting of frozen hydrometeors, as well as total radiation, convection and turbulence parameterisations) (ii) Values for the parameter perturbations Both text files, EmulatorInputsDesign.csv and ValidationInputsDesign.csv, include the values for the parameter perturbations for each PPE member for the training (EmulatorInputsDesign.csv; PPE members ID000-ID049) and the validation (ValidationInputsDesign.csv; PPE members ID050-ID069) data sets, respectively. The training data set includes the first 50 members and the validation data set includes 20 additional members. The PPE includes five perturbed parameters, which are sea surface temperature (SST), cloud condensation nuclei (CCN), ice nucleating particles (INP), capacitance of ice and snow (CAP), and maximum supersaturation (SAT). Each column lists one perturbed parameter for the respective simulation: V1 (SST), V2 (CCN), V3 (INP), V4 (CAP), and V5 (SAT). The perturbed parameter values are explained in more detail in Oertel et al. (2025).
Atmospheric Science, ICON, WCB trajectories, sensitivity experiments, cloud microphysics, perturbed parameter ensemble (PPE)
Research data for "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble"
Processed micro-tomographic scan of the ant Discothyrea banna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara okm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrachis bihamata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Using Machine Learning Techniques in general and Deep Learning techniques in specific needs a certain amount of data often not available in large quantities in some technical domains. The manual inspection of Machine Tool Components, as well as the manual end of line check of products, are labour intensive tasks in industrial applications that often want to be automated by companies. To automate the classification processes and to develop reliable and robust Machine Learning based classification and wear prognostics models there is a need for real-world datasets to train and test models on.
The dataset contains 1104 channel 3 images with 394 image-annotations for the surface damage type “pitting”. The annotations made with the annotation tool labelme, are available in JSON format and hence convertible to VOC and COCO format. All images come from two BSD types. The dataset available for download is divided into two folders, data with all images as JPEG, label with all annotations, and saved_model with a baseline model. The authors also provide a python script to divide the data and labels into three different split types – train_test_split, which splits images into the same train and test data-split the authors used for the baseline model, wear_dev_split, which creates all 27 wear developments and type_split, which splits the data into the occurring BSD-types. One of the two mentioned BSD types is represented with 69 images and 55 different image-sizes. All images with this BSD type come either in a clean or soiled condition. The other BSD type is shown on 325 images with two image-sizes. Since all images of this type have been taken with continuous time the degree of soiling is evolving. Also, the dataset contains as above mentioned 27 pitting development sequences with every 69 images. Instruction dataset split The authors of this dataset provide 3 types of different dataset splits. To get the data split you have to run the python script split_dataset.py. Script inputs: split-type (mandatory) output directory (mandatory) Different split-types: train_test_split: splits dataset into train and test data (80%/20%) wear_dev_split: splits dataset into 27 wear-developments type_split: splits dataset into different BSD types Example: C:\Users\Desktop>python split_dataset.py --split_type=train_test_split --output_dir=BSD_split_folder Result: ./BSD_slit_folder/train/ and ./BSD_slit_folder/test/
Industrial Machine Tool Element Surface Defect Dataset
Processed micro-tomographic scan of the ant Tetramorium pullulum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0007, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0007 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (SEI). In particular, there is a lack of fundamental mechanistic understanding of how the electrolyte composition impacts the SEI formation and its governing processes. Here, we present an in-depth model-based analysis of the initial SEI formation on lithium metal in a carbonate-based electrolyte. Thereby we reach for significantly larger length and time scales than comparable molecular dynamic studies. Our multiscale kinetic Monte Carlo/continuum model shows a layered, mostly inorganic SEI consisting of LiF on top of Li2CO3 and Li after 1 µs. Its formation is traced back to a complex interplay of various electrolyte and salt decomposition processes. We further reveal that low local Li+ concentrations result in a more mosaic-like, partly organic SEI and that a faster passivation of the lithium metal surface can be achieved by increasing the salt concentration. Based on this we suggest design strategies for SEI on lithium metal and make an important step towards knowledge-driven SEI engineering.
The published source data file contains the underlying data of all figures of the manuscript and Supplementary Information of the publication “Knowledge-driven design of Solid-Electrolyte Interphases on lithium metal via multiscale modelling”. The source data of each figure is presented in a single sheet named after the corresponding figure. Legends are given if required. Please note that the source data of the kMC boxes is provided as xyz coordinates and that each species number corresponds to a chemical species (cf. legend). Numerical details: The kMC/continuum model was implemented in MATLAB R2021a and differential equations were solved with the ode15s solver. The calculations were performed on an i7-8000 CPU with 16 GB RAM. For detailed information on the modelling approach see the Method section in the manuscript and the Supplementary Information.
Knowledge-driven design of Solid-Electrolyte Interphases on lithium metal via multiscale modelling
Der Algorithmus ist mit MATLAB (Version 2019A) programmiert. Es liegt eine Dokumentation des Algorithmus, eine Anleitung zur Benutzung sowie Beispieldaten bei. The algorithm is programmed with MATLAB (version 2019A). A documentation of the algorithm, a manual on how to use it, and sample data are included.
Für die Gestaltung von Holzschrauben ist der Zusammenhang zwischen der Gestalt des Gewindes und der Funktion Tragfähigkeit besonders wichtig. Dies erfordert eine objektive Analyse des Versagens. Mit diesem Algorithmus wird eine objektive Analyse der Rissbildung von Holz in Holzschraubenverbindungen unter Verwendung von Bildverarbeitung möglich. Bewertungsgrößen sind hierbei die Risslänge und Rissbreite.
For the design of wood screws, the relationship between the thread parameters and the function withdrawal capacity is important. For this purpose, the objective analysis of the failure behavior is necessary. With this algorithm an objective analysis of the cracks of wood in wood screw connections using image processing becomes possible. Evaluation parameters are the crack length and crack width.
Algorithmus zur objektiven Analyse des Einflusses von Gewindeparametern von Holzschrauben auf die Rissbildung - Algorithm for an objective analysis of the influence of thread parameters of wood screws on crack formation
This dataset provides the supplementary MIPAS VMR data and resulting climatology of atmospheric circulation fields 2002-2012 for publication https://doi.org/10.5194/acp-21-8823-2021, using the software provided in 10.5445/IR/1000127728.
This dataset of MIPAS/ENVISAT VMR data and corresponding atmospheric 2D circulation climatology supplements the publication 10.5194/acp-2019-704 and was computed using the ANCISTRUS software provided in 10.5445/IR/1000127728. The climatology of circulation covers the years 2002-2012 in monthly fields averaged over all available years. The figures used in the publication are linked into the directory Figures/. The data provided is licensed under the terms of CC BY-NC-ND 4.0 International, see file LICENSE.
Supplement: MIPAS VMR data and climatological circulation fields for publication 10.5194/acp-2019-704
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year.
The data set comprises ozone data of the Earth's middle atmosphere region for the years 2002-2012 as derieved from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
Version 8 IMK/IAA MIPAS ozone profiles: nominal observation mode
This code has been used for the numerical experiments in the thesis "On dynamical low-rank integrators for matrix differential equations" by Stefan Schrammer, see https://www.doi.org/10.5445/IR/1000148853.
#### Instructions: The scripts inside the subfolders are intended to reproduce the figures from the thesis> On dynamical low-rank integrators for matrix differential equations. by Stefan Schrammer We provide two different versions of the code: - Code_Prom_wo_ref.zip provides the scripts for computing and plotting the data for all numerical experiments. - Code_Prom_incl_ref.zip addtionally provides the reference solutions to all considered problems as hdf5-files. ##### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 ##### Generation of figures (tex files containing the data are also created) In the folder fracginz open a console and run the commands 1. to create the data for Figures (7.1) and (7.2) python3 fgl.py 2. to create Figures (7.1) and (7.2) python3 fgl_results.py In the folder fracschr open a console and run the commands 3. to create the data for Figure (7.3) python3 fsr.py 4. to create Figure (7.3) python3 fsr_results.py In the folder laserplasma open a console and run the commands 5. to create the data for Figure (7.4) python3 lpi_hom.py 6. to create Figure (7.4) python3 lpi_hom_plots.py 7. to create the data for Figures (7.5), (7.6), and (7.7) python3 lpi.py 8. to create Figures (7.5), (7.6), and (7.7) python3 lpi_globalerr.py python3 lpi_1d_plot python3 lpi_svals_maxint.py In the folder sinegordon open a console and run the commands 9. to create the data for Figures (7.8) and (7.9) python3 sineg.py 10. to create Figures (7.8) and (7.9) python3 sineg_globalerr_ranks.py If the reference solutions shall be recomputed, uncomment the line methods.append(...) at the beginning of the scripts fgl.py, fsr.py, lpi.py, and sineg.py, respectively.
Numerical experiments for "On dynamical low-rank integrators for matrix differential equations"
This dataset includes files for HELIOS++ (version 1.0.7).
We combine forest inventory information, a tree point cloud database and the open-source laser scanning simulation framework HELIOS++ to generate synthetic laser scanning data of forests. Airborne laser scanning data of six 1-ha plots in temperate, central European forests was simulated and compared to real ALS data of these plots. The synthetic 3D representations of the forest stands were composed of real ALS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns, both in form of penetrable point clouds and with an impenetrable surface. This dataset includes the HELIOS++ data files to reproduce the simulations: - the height normalized original ALS point clouds - the synthetic forest stand point clouds - soil layers - scene files - survey files
Generating synthetic laser scanning data of forests by combining inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce simulations]
Processed micro-tomographic scan of the ant Tatuidris tatuisa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rhopalomastix sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS). Consists of four parts: Runs at 00 UTC (standard variables), Runs at 00 UTC (spatial variables), Runs at 00 UTC (standard variables), Runs at 12 UTC (spatial variables). For the standard variable data sets, the observational data base is also included. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS)
Processed micro-tomographic scan of the ant Crematogaster quadriruga, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This exemplary dataset was recorded and analyzed during the continuous operation of a biocatalytic foam reactor. See the README.md provided with the data for more details.
Example dataset to: "Towards Precision Biocatalysis - Leveraging Inline NMR for Autonomous Experimentation in Flow Reactors"
Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_172 located at Albbruck, Germany (47.5858°N, 8.13°E) during the Swabian MOSES 2023 field campaign from June to August 2023. An instrument failure occurred on 24th August 2023. Measurements after this failure are not valid.
Doppler lidar measurements from Albbruck, Swabian MOSES 2023, Level 0 netCDF files
Processed micro-tomographic scan of the ant Camponotus vittatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex occidentalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Informationsmanagement im Ingenieurwesen (IMI), Karlsruher Institut für Technologie (KIT)
inputs contains the Instance descriptions as json files. results contains the found solutions as json files. The inputs and results jsons can be
Buffers are prevalent in many production systems, where they are often manually man- aged by human operators who make decisions about item placement, retrieval sequences, and space allocation based on experience and intuition. However, current labor shortages highlight the urgent need to automate these tasks. This paper addresses the Buffer Reshuffling and Retrieval (BRR) problem, which aims to optimize the reshuffling and retrieval of unit loads within a buffer zone. The buffer zone is assumed to be a designated area on the floor where items are stored without the use of shelves or other intermediary structures. We extend the static BRR model, which assumes a fixed set of items, to address the complexities of modern, dynamic production logistics. Specifically, we introduce two extensions: (1) a dynamic variant that accounts for new items requiring storage in the buffer, and (2) a dynamic multi-AMR variant that utilizes multiple Autonomous Mobile Robots (AMRs). Our contribution lies in the development of a compre- hensive Integer Programming (IP) framework encompassing all three variants: static, dy- namic, and dynamic with multiple AMRs. The computational complexity of these IP models hinders their direct application in real-time, large-scale production settings. However, by introducing and solving illustrative instances, this IP framework provides a foundation for future research into heuristic and learning based algorithms.
This files contain the design of an modular linear stage for optoelectronic measurements as well as example software for measurements. It is build from open hardware parts (uStepperS and C-Beam Linear Actuator), commercial available parts, a designed shield for the hardware control as well as custom made laser-cut parts. The composition, the designed hardware and software is licenced under a free GPLv3 licence (see bottom of this page).
# Modular linear experiment stage This files contain the design of an modular linear stage for optoelectronic measurements as well as example software for measurements. It is build from open hardware parts (uStepperS and C-Beam Linear Actuator), commercial available parts, a designed shield for the hardware control as well as custom made laser-cut parts. The composition, the designed hardware and software is licenced under a free GPLv3 licence (see bottom of this page). Licences of the used components: * [C-Beam Linear Actuator](https://openbuildspartstore.com/c-beam-tension-xl-linear-actuator-bundle/) OpenBuilds®, LLC design work(s) shared Open Source under the CC BY-SA 4.0 License Terms and Conditions * [uStepperS](https://github.com/uStepper/uStepperS) by ON Development is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. ![modular_setup](https://codeberg.org/LibrEars/modular-linear-experiment-stage/media/branch/main/modular_setup.png) ## Controle software for the 'uStepper S' This module is used with the 'uStepper S' and the custom made shield for distance measuring with angle dependancy. ### Usage You can use the setup via the manual rotary encoder switch or via the serial commant (use arduino-GUI and serial window or see python example) ``` --- Proximity reference setup ------------------------------------ Manual mode: Turn the knob to change the distance / angle"); Click once to change the step size"); Double-click to change between distance and rotation"); Press > 1 second to set the distance / angle to 0"); PC mode (via serial): Type the distance (mm), speed (mm/s) and angle (°), seperated by a commata"); E.g. '20.0,40, 15' means 20.00 mm (v=40mm/s for distance) and 15.00°" ------------------------------------ ``` Somehow there is a bug with my board/software and setting the speed via stepper.setRPM(rpm) inside the code does not work properly. So do not expect the speed to be exact. ### Installation #### uStepper S The uStepper is programmed like an arduino bord with the Arduino IDE: https://www.arduino.cc/en/Main.Software To install the uStepper into the arduino IDE follow: https://github.com/uStepper/uStepperS #### Rotary encoder for angle motor To make the rotary encoder working, you may need to fix the Encoder.h (\Arduino\libraries\Encoder\utility\interrupt_pins) library by adding the PB version of the microcontroller `__AVR_ATmega328PB__` to the list: ``` // Arduino Uno, Duemilanove, Diecimila, LilyPad, Mini, Fio, uStepperS, etc... #elif defined(__AVR_ATmega328P__) || defined(__AVR_ATmega328PB__) || defined(__AVR_ATmega168__) || defined(__AVR_ATmega8__) #define CORE_NUM_INTERRUPT 2 #define CORE_INT0_PIN 2 #define CORE_INT1_PIN 3 ``` ### Interrupts Also on the uStepperS board the [interrupts do not work](https://github.com/uStepper/uStepperS/issues/31). A workaround is to use [Pin Change Interrupts](https://www.teachmemicro.com/arduino-interrupt-tutorial/). They are different than normal Interrupts ("might be a tiny bit slower and not that reliable because of that detection overhead (talking about micro seconds)") but there is an [arduino library](https://www.arduino.cc/reference/en/libraries/pinchangeinterrupt/). → seems to work with both motors and rotary encoder at the same time ! ### Distplay To get the display running with the uStepperS, we need to change its lib rgb_lcd.h: There is some wired behavior when using the serial of the uStepperS (ATmega328PB). Plugging the Grove-LCD RGB Backlight display in pins A1 (SDA0) and A2 (!!! this pin is changed [from A0 → A2 on my bord] but SCL0 is still there) the example code works. But pin D7 (SCL1) and D8 (SDA1) are somehow always HIGH which causes problems (not enough pins, strange behavior when uploading code with INX from ULN2003 driver on D7 &D8 ). To circumvent this behavior the display should be attached to SCL1 /SDA1. This is not possible by default due to missing firmware. Therefore we need to add support for the microcontroller: Sources: * https://github.com/MCUdude/MiniCore This lib adds support for the ATmega328PB, in detail for serial communication with the lib Wire1.h * https://www.instructables.com/How-to-share-i2C-connection-on-Due/ To get the display running, we need to change its lib rgb_lcd.h 1. Go to the folder \Arduino\libraries and copy the folder \Grove_-_LCD_RGB_Backlight and rename it to \Grove_-_LCD_RGB_Backlight_Serial1 2. In the Folder \Grove_-_LCD_RGB_Backlight_Serial1 rename the files rgb_lcd.cpp and rgb_lcd.h to rgb_lcd1.cpp and rgb_lcd1.h 3. Open the file rgb_lcd1.cpp with an text editor and change the lines `#include <Wire.h>` to `#include <Wire1.h>` `#include "rgb_lcd.h"` to `#include "rgb_lcd1.h"` 4. Also add the line ```extern TwoWire1 Wire1; // insert this line is the modification to include Wire1 (SDA1 / SCL1) .…``` 5. Then press ‘Ctrl+h’ to replace all function calls starting with `Wire.xxx()` with `Wire1.xxx()` ! Make sure to not replace the lines added above a second time 6. From now on in the arduino code always include `#include <Wire1.h>` and `#include "rgb_lcd1.h"` ### Design shield for µStepperS In order to also control a 28BYJ-48 stepper motor (e.g. for angle dependent reflectance measurements) or custom components that need high currents (e.g. high-power LEDs) a large part of the project was to design a shield. ![shield](https://codeberg.org/LibrEars/modular-linear-experiment-stage/media/branch/main/shield.png) **Software**: https://www.kicad.org/ * https://docs.kicad.org/5.0/en/getting_started_in_kicad/getting_started_in_kicad.html **Further reading**: * Digital pins (pullup & down resistors): - https://www.mymakerstuff.de/2016/03/22/arduino-tutorium-kapitel-5-pull-up-und-pull-down-widerst%C3%A4nde/ - https://www.arduino.cc/en/Tutorial/Foundations/DigitalPins * Stepper Motor driver - https://www.hwlibre.com/en/28byj-48/ - https://www.electronicoscaldas.com/datasheet/ULN2003A-PCB.pdf * Rotary encoder - https://lastminuteengineers.com/rotary-encoder-arduino-tutorial/amp/ - The switch needs a pullup resistor (similar to stop-switch) * Grove-LCD Display - https://wiki.seeedstudio.com/Grove-LCD_RGB_Backlight/ # 💌️ License Copyright (C) 2022-2023 Mervin Seiberlich and Konstantinos Falis Authors - Mervin Seiberlich, Konstantinos Falis The Modular linear experiment stage is free hardware and software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. experiment_evaluation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with experiment_evaluation. If not, see https://www.gnu.org/licenses/.
Updated version see relations. The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. Users of the IDL data language can use the programs which are delivered as an archive, too.
The data set comprises temperature data of the Earth's middle atmosphere region for the years 2002-2012 as rerieved from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
IMK/IAA MIPAS temperature retrieval version 8: nominal measurements
Processed micro-tomographic scan of the ant Pseudomyrmex veneficus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data from microscopy, nanoindantion, XRD and friction tests
Raw data to manuscript by Lehmann et al on the tribological properties of copper oxides
Processed micro-tomographic scan of the ant Pheidole midas, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Engler-Bunte-Institut (EBI), Karlsruher Institut für Technologie (KIT)
The data used for the figures in the publication "The interaction between particle clustering and iron particle cloud combustion in homogeneous isotropic turbulence" is provided. It is postprocessed from the raw output of carrier-phase direct numerical simulations (CP-DNS) of iron particles combusting in a homogeneous isotropic turbulent air flow. For each figure the data is provided in a corresponding subfolder, only Figure 3 and 6 share a folder since it consists of very similar data. The detailed format of the data is specific to each figure and documented in the files README.md in the corresponding subfolders.
We perform carrier-phase direct numerical simulations (CP-DNS) to investigate the interaction of iron particle cloud combustion and clustering through turbulence. A pseudo spectral multi-phase solver in combination with a point particle iron reaction model is used, capturing mass, heat and momentum transfer between the phases. We investigate the combustion of 10 µm-sized iron particles with air, in homogeneous isotropic turbulence (HIT) at Stokes number one, varying the equivalence ratios from lean ($\phi=0.1$) to fuel-rich ($\phi=2$). At the start, the particles are homogeneously distributed with a temperature below particle ignition temperature. Particle clusters form through turbulence and ignite. While in the very lean regime ($\phi<0.25$) the $\mathrm{O_2}$ diffusion through the particle boundary layer limits the conversion of $\mathrm{Fe}$ to $\mathrm{FeO}$, for $\phi>0.5$, the oxygen depletion in clusters slows down the overall oxidation progress, and the conversion is limited by the transport of oxygen from regions devoid of particles into clusters. This observation from numerical simulation is supported by a time-scale analysis of the effects involved. We also quantify particle clustering through a Voronoi tessellation and show that through combustion, particle clusters become more prominent. This is caused by two effects. First, if the reacting particles are spaced closely enough to create a local lack of oxygen, a fluid flow is triggered from the regions devoid of particles into clusters. This flow carries particles into the cluster region. Second, finite-size particles cannot follow the fast thermal fluid expansion caused by the exothermic particle reaction as well as the slower compression through heat losses to colder areas.
The interaction between particle clustering and iron particle cloud combustion in homogeneous isotropic turbulence
COCCON column-averaged greenhouse gas abundances collected in the framework of MOSES ScaleX Campaign 2019
Column averaged greenhouse gas abundances have been measured with a COCCON EM27/SUN FTIR spectrometer in the framework of the MOSES ScaleX campaign in the period May – July 2019. The processing of the spectra has been performed at the COCCON CPDHF (Central Processing and Data Handling Facility) operated by KIT. Abundances are reported for water vapour, carbon dioxide, methane, and carbon monoxide.
MOSES ScaleX COCCON EM27/SUN Remote Sensing Greenhouse Gases
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0016, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0016 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The repository contains the results of structural drill core investigations with particular consideration of stress-induced features. The cores have been assembled and labelled and reference lines have been introduced. All structural information refers to these lines. We have distinguished between induced and natural open and filled fractures and bedding.
GIA#2: Geophysical Borehole Logging Data
Processed micro-tomographic scan of the ant Cyphoidris afrc-tz02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the consumables utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Consumables for Tribological Experiments - Sapphire on Copper - FAIR Dataset
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V1 (videos)
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V4 (videos)
Processed micro-tomographic scan of the ant Hylomyrma cf blandiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 11)
Processed micro-tomographic scan of the ant Colobopsis truncata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2002 - 2011
Processed micro-tomographic scan of the ant Leptogenys okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium caespitum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
DAMAST-KIT-N1: Drill Core Scans and Core Photos
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0040, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0040 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0041, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0041 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Solid solution strengthening in Mo-Nb solid solutions modelled using the Suzuki model including recent additions by Rao and Co-Workers. Implemented in Matlab R2022a, Update 5.
Matlab code for the modelling, exported as .txt file for better accessibility.
Solid solution strengthening in Mo-Nb modelled using the Suzuki approach
Processed micro-tomographic scan of the ant Pheidole aberrans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der Datensatz enthält UAS Aufnahmen aus den untersuchten Gebieten. Der Datensatz besteht aus Farbbildern der optischen Kamera, sowie den gleichzeitig aufgenommenen Wärmebildern.
Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras sowie einem Gas-Multisensor in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur sowie durch eventuell ausströmende Gase wie z.B. CO2 erfasst werden können.
UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 1)
CAPPA is an open source algorithm to automatically and consistently extract quantitative action potential parameters from various types of cardiomyocytes.
German Centre for Cardiovascular Research
In our report, we described a case study where we evaluate our approach for correctness quantification using Palladio and KeY. Here, we publish the corresponding Palladio Component Model files as well as the generated source code, in order to make them publicly available.
# README: Case Study (Age of Maturity) This archive contains the Palladio artifacts of the case study "AgeOfMaturity" of the Technical-Report "Model-driven Quantification of Correctness with Palladio and KeY" (DOI: 10.5445/IR/1000128855). The structure of this archive is as follows: * The folder "PalladioModels" contains the Palladio Component Model Eclipse Project of the "AgeOfMaturity" use case * The folder "DependencySolverResults" contains output files with the results of the solved "AgeOfMaturity" case study as described in the report * The folder "GeneratedJavaCode" contains Java-Code generated with the [PCM2Java](https://github.com/KASTEL-SCBS/PCM2Java) Project * The folder "PalladioDiagrams" contains the exported model diagrams of the "AgeOfMaturity" case study created for the technical report The usage of the Palladio Editor and the DependencySolver is explained in the following. ## Setup For usage of the artifacts, an Eclipse IDE with the installed Palladio Simulator is necessary. * Download and run a clean [Release of the **Eclipse Modeling Tools** 2020-06 IDE](https://www.eclipse.org/downloads/packages/release/2020-06/r/eclipse-modeling-tools) * Install the Palladio Simulator by using the [Eclipse Market Place](https://marketplace.eclipse.org/content/palladio-43-eclipse-2020-06) or the [Palladio Update Site](https://updatesite.palladio-simulator.com/palladio-build-updatesite/releases/latest/). Install at least the Palladio Component Model, the "Analyzer: Analytical Solver" and the Editors. ## Viewing and Modifying the Models * Import the Palladio AgeOfMaturity Project: * Open the Import Window in Eclipse (File --> Import --> General --> Existing Projects into Workspace) * In the opened Import Windows select the path to the "edu.kit.kastel.scbs.ageofmaturity" Project in the PalladioModels Folder. * Select "Finish" * Open the files with the suffix "_diagram", to view the models with the installed GMF Editors. ## Running the DependencySolver * Create a PCM Solver Run Configuration: (Run --> Run Configurations --> Call Context Menu for PCM Solver --> New Configuration) * Select the created Run Configuration * Configure Architecture Models in the Configuration (Select "Architecture Model(s)" Tab) * Insert Configuration Name * Under "Allocation File" insert the AgeOfMaturity.allocation file path (e.g. by using the "Workspace..." menu) * Under "Usage File" insert the AgeOfMaturity.allocation File Path (e.g. by using the "Workspace..." menu) * Configure the Solver (Select "Solver" Tab) * Select "SRES (Stochastic Regular Expression Solver)" * Uncheck "Use of Expression Model File" checkbox * Provide Path to an Output file in "Expression Model File" * Optional: Configure the Analysis to store Temporary Data(Select "Analysis Configuration" Tab) * Provide Location for storing the temporal data: Under "Location of temporary data", uncheck "use default location" checkbox and provide path to the location * Uncheck the "Delete temporary data after analysis" checkbox. ## Result Interpretation The computed usage/output shows the folded probabilities for each branch in the usage scenario and the visited service effect specifications. The probability to enter a critical section (see technical report) under the given usage model can be retrieved through inspection of the entries for the inserted branches for the critical sections.
Quantification of Correctness with Palladio and KeY: Case Study Data
Motorik Daten wurden mittels DKT (Dordel Koch Test) erhoben. Erfasst wurde objektiv (Anthropometrie, wie auch Motorik) vor Ort durch geschultes Personal Diese Daten sind Baseline-Daten (uninterventiert) einer longitudinalen Messung
Komm mit in das gesunde Boot (Grundschule)
Die Daten sind im Format der Firma Gematronik gespeichert. Es handelt sich im Wesentlichen um ein XML-Format. Da die komprimierten Messdaten jedoch fälschlich XML-Tags enthalten können, müssen diese als BLOBs eingelesen werden. Einleseroutinen gibt es als open source bei der wradlib oder für Matlab bei jan.handwerker@kit.edu.
Base data (volume data in polar coordinates) of the dual-pol Doppler X-Band Radar Meteor50DX measured in the framework of MOSES measuring campaign "Hydrological Extremes" in 2019. Temporal resolution 5 minutes, 100 km range, 9 elevations from 0.7 to 30 degrees, additional scan at 90 degrees. Radar located close to Dittersdorf (lower wind turbine) 50.8232 deg N, 13.7974 deg E, 564.7 m ASL
Basisdaten (Volumendaten in Polarkoordinaten) des Dual-Pol Doppler X-Band Radars Meteor50DX im Rahmen der MOSES Messkampagne "Hydrologische Extreme" 2019. Zeitliche Auflösung 5 Minuten, 100 km Reichweite, 9 Elevationen von 0,7 bis 30 Grad, zusätzliche Elevation bei 90 Grad. Standort des Radars bei Dittersdorf (untere Windkraftanlage) 50.8232 deg N, 13.7974 deg E, 564.7 m ASL
Messdaten, X-Band-Niederschlagsradar in MOSES Messkampagne, 30.04.2019-22.07.2019
Processed micro-tomographic scan of the ant Pogonomyrmex subdentatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data contains the segmented, labeled electron tomography data of two different particles of an activated Ni/Al$_{2}$O$_{3}$ reference catalysts for CO$_{2}$ methanation.
The experimental procedure and data analysis details are provided in the respective original publication. Segmentation and labeling were performed with the software Avizo. The data import is possible and was tested with Avizo and the open source software ImageJ. The data is named according to the publication with ET1 and ET2 for the respective sample, while "material" is the solid, "pores" is the complete pore system and "pores.separate" is the separated pore system into individual pores.
Electron Tomography Datasets of a Ni/Al$_{2}$O$_{3}$ Reference Catalyst
Processed micro-tomographic scan of the ant Psalidomyrmex reichenspergeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole tumida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium smithi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Gelatin phantom 2 with embedded metal thread. 2: Empty measurement with the same parameters as the gelatin phantom 2, 1 aperture position.
The routines RICHARD.py and RICHARD_threshold.py require a Python 3.x installation, as well as the modules imported in the scripts. It should be noted that the module global_land_mask must be installed separately, since it is not included by default as a package in python. The programs are started via the command line. The necessary and alternative arguments for starting RICHARD.py and RICHARD_threshold.py are explained either in the scripts themselves or in the associated paper. Die Routinen RICHARD.py und RICHARD_threshold.py benötigen eine Python 3.x installation, sowie die in den Skripten importierten Module. Hierbei ist zu beachten, dass insbesondere das Modul global_land_mask separat installiert werden muss, da es nicht standardmäßig als Paket in python beinhaltet ist. Gestartet wird werden die Programme über die Kommandozeile. Die notwendigen und alternativen Argumente für den Start von RICHARD.py und RICHARD_threshold.p sind entweder in den Skripten selbst oder im zugehörigen Paper erläutert.
Here, we introduce version 1.0 of the RICHARD algorithm, a Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data, e.g. in satellite measurement datasets (level-2 and above) or atmospheric chemistry model output. The overall goal of the algorithm is to identify "hotspot" areas in which local enhancements of an atmospheric constituent can only occur due to strong local emissions. To detect hotspot areas, we use a mathematical method that combines spatiotemporal proxy data for calibration purposes and a selection algorithm in a novel way.
RICHARD 1.0 - Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data
Research data to the dissertation Characterization of reservoir quality and supply chains for critical raw materials
Job monitoring data in the csv format. Each line corresponds to a distinct job execution and contains its characteristic quantities.
Job monitoring data for Modelling of Large-Scale Distributed Computing Systems
Processed micro-tomographic scan of the ant Odontomachus kuroiwae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oxyepoecus aff vezenyii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus meinerti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0005, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0005 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The project folder contains three packages: * The package “main” implements the main classes of the project, including the class for the analysis of the output stream of the discrete-time M/G/1-queue, and the discrete-time semi-Markov models. * The package “sim” implements the discrete-event simulation model for verification. * The package “tools” provides an array of classes that provide essential tools such as algebraic utilities, input parsing, and output generation. Additionally, the project folder contains the package "data" with two data sets: * Data set for the analysis of the output dynamics of discrete-time M/G/1-queues. Within this data set, each of three distinct service time variability levels (no variability, low variability, and high variability) is systematically combined with the set of five utilization parameters. * Data set for the analysis of discrete-time tandem queues with semi-Markov arrivals. The data set contains input data with low and high service time variability in five utilization parameters.
This repository hosts the research software designed for the analysis of the output dynamics of the discrete-time M/G/1-queue and for analyzing discrete-time open tandem queues with Poisson arrivals and semi-Markov departure processes. The software is implemented in Java.
Discrete-time semi-Markov models for the analysis of dependent departure and arrival streams
The objectives of this work are to complete the experimental database on cryogenic LH2 combustion, including laminar steady state and turbulent combustion and detonation of LH2 and gaseous hydrogen in air at ambient and cryogenic temperatures. The major characteristics to be investigated was the pressure, temperature, heat flux, and dynamics of the processes. Effects of scale and turbulence also was considered as parameters of the processes. Similar to LH2 distribution the combustion analysis included confinement geometry and obstructions.
The presented data and video files were obtained during experiments within the WP5.1., characterizing the LH2 jet fire behavior, including scaling and radiation properties ( variations on heat flux and dosis, temperature, max pressure and rise rate) at various initial properties (initial pressure, nozzle diameter, ignition location, ignition delay times)
Generally, most bulk metallic materials reveal an increased strength but a loss of ductility after cold deformation, referred as the strength–ductility trade-off. This phenomenon is moderately less in some metastable alloys, which exhibit a transformation-induced plasticity (TRIP), i.e., a martensitic transformation from FCC phase to BCC phase. However, most of them show outstanding mechanical properties induced by TRIP effect only at cryogenic conditions. In this study, we present a strategy to overcome this problem by introducing a high density of crystalline defects into a Fe-based metastable alloy by refining grains to a nanometer scale. This procedure significantly improves the kinetics and reduces the driving force for TRIP. As a result, the TRIP effect originally occurring at cryogenic temperature in the Fe-based metastable alloy, is also active at ambient conditions, contributing to a strength-ductility synergy and overcoming cold working induced sacrifice of ductility.
Overcoming plasticity reduction in a severely deformed nano-grained metastable alloy
CSV data containing ten vehicle signals logged via the OBD-II interface: Engine coolant temperature, intake manifold absolute pressure, engine RPM, vehicle speed sensor, intake air temperature, air flow rate from mass flow sensor, absolute throttle position, ambient air temperature as well as the accelerator pedal positions D and E. The data was recorded with the OBD-II dongle KIWI 3 from PLX Devices in combination with the smartphone application OBD Auto Doctor from Creosys on an iOS device. The file name is assembled according to the following scheme: <yyyy-mm-dd>_<brand>_<model>_<from>_<to>_<condition>_<extension>.csv - <from> and <to> represent start and end position of the log according to the German number plates, i.e. KA = Karlsruhe etc. - <condition> is a label indicating the principle road conditions (e.g. normal, frei/free, Stau/busy) - <extension> is optional and marks special situations occurring in the vehicle speed data
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0033, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0033 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
COM3D is a three-dimensional code for turbulent reactive flow simulations in complex 3D-geometries. The Favre averaged Navier-Stokes equations are solved together with different models for turbulence and chemical kinetics. COM3D employs different flow solvers. Advanced numerical procedures are provided to facilitate the grid generation for complex 3D computational domains. COM3D was validated on experiments performed on different scales, with and without chemical reaction. Generally good agreement was observed for the important physical quantities. The code was used for combustion analysis of different application problems, ranging from small-scale laboratory tests up to large-scale reactor containment calculations.
Collection of the manuals for program suite COM3D.
COM3D: Turbulent Combustion Code User’s Guides
Source and numerical data used to generate Fig.3 (right) of https://doi.org/10.1103/PhysRevB.105.115113. Details are given in the README.txt.
Data to: Breakdown of the Wiedemann-Franz law at the Lifshitz point of strained Sr2RuO4
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/26; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-26.pdf) and in the paper "Error analysis of multirate leapfrog-type methods for second-order semilinear odes" by C. Carle and M. Hochbruck.
The scripts inside the subfolders are intended to reproduce the figures from the preprint > Error analysis of multirate leapfrog-type methods for second-order semilinear ODEs by Constantin carle and Marlis Hochbruck ### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - dolfin (fenics) - 2019.2.0.dev0 (including mshr) - matplotlib - 3.1.2 - tikzplotlib - 0.9.6### Generation of figures In the folder "code_figure_6p1-6p2" open a console and run the commands 1. to obatin Figure 6.1 python3 script_figure_2dimEx.py, 2. to obtain Figure 6.2(a) python3 script_figure_FPUT_error.py 3. to obtain Figure 6.2(b) python3 script_figure_FPUT_hamiltonian.py. In the folder "code_figure_6p3" open a console and run the command python3 script_figure_wave-equation.py to obtain Figure 6.3(a) and (b). Additionally to the plots you can get the tikz-files which were used for generating the plots in the pdf by uncommenting the lines #import tikzplotlib #tikzplotlib.save("*****.tikz") at the end of each of the above scripts.
Numerical experiments to "Error analysis of multirate leapfrog-type methods for second-order semilinear odes"
Brown carbon aerosol (BrC) is one major contributor to atmospheric air pollution in Europe, especially in winter. Therefore, we studied the chemical composition, diurnal variation, and sources of BrC from 17th February to 16th March at a rural location in southwest Germany. In total, 178 potential BrC molecules (including 7 nitro aromatic compounds, NACs) were identified in the particle phase comprising on average 63 ± 32 ng m−3, and 31 potential BrC (including 4 NACs) molecules were identified in the gas phase contributing on average 6.2 ± 5.0 ng m−3 during the whole campaign. The 178 potential BrC molecules only accounted for 2.3 ± 1.5 % of the total organic mass, but can explain 11 ± 11 % of the total BrC absorption at 370 nm, assuming an average mass absorption coefficient at 370 nm (MAC370) of 9.5 m2 g−1. A few BrC molecules dominated the total BrC absorption. In addition, diurnal variations show that gas phase BrC was higher at daytime and lower at night. It was mainly controlled by secondary formation (e.g. photooxidation) and particle-to-gas partitioning. Correspondingly, the particle phase BrC was lower at daytime and higher at nighttime. Secondary formation dominates the particle-phase BrC with 61 ± 21 %, while 39 ± 21 % originated from biomass burning. Furthermore, the particle-phase BrC showed decreasing light absorption due to photochemical aging. This study extends the current understanding of real-time behaviors of brown carbon aerosol in the gas and particle phase at a location characteristic for the central Europe.
The data in the Excel files are related to the publication Jiang et al., ACPD, 2024. Each sheet of the Excel files corresponds to one plot in the publication as repeated below. The data originates mainly from aethalometer and FIGAERO-CIMS. The figures and captions from the publication are shown in the following to allow for a good understanding of the data files. Jiang, F., Saathoff, H., Ezenobi, U., Song, J., Zhang, H., Gao, L., and Leisner, T.,: Measurement report: Brown carbon aerosol in rural Germany: sources, chemistry, and diurnal variations, EGUsphere, https://doi.org/10.5194/egusphere-2024-1848, 2024, in review, 2024.
Dataset for the publication: Brown carbon aerosol in rural Germany: sources, chemistry, and diurnal variations
Data of study I and study III of the dissertation "The Gamification of Crowdsourcing Systems: Empirical Investigations and Design" by Benedikt Morschheuser 2017: DOI: 10.5445/IR/1000074115
Data Dissertation Morschheuser Study I and Study III
Using the calculator 1. Open MATLAB and the CO2_Calculator.mlx file 2. Open the “LIVE EDITOR” tab and press “RUN” Now a series Pop-Up windows will appear, asking for input. Please note that all inputs must be numeric, and a decimal dot is used instead of a comma (example: 20.5 and not 20,5). 3. Enter which processes are included (1 for yes 0 for no) 4. Enter the sheet thickness [mm] (1-6 in whole numbers) as well as the workpiece weight [kg] 5. If laser cutting is included: Enter cutting length [mm] 6. If bending is included: a. Enter the number of bends (Max. 6) b. Enter the tensile strength [N/mm²] (dt. “Zugfestigkeit”) c. Enter the bending angle [mm] and bending length [mm] for each individual bend 7. If welding is included: a. Enter number of welds (Max 6) b. Enter the shielding gas type (1: Ar + 2% CO2; 2: Ar + 18% CO2; 3: C25; Ar + 25% CO2; 4: opens a new window for your own specifications) Note: if unknown choose 1 for the lowest CO2 Emissions c. Enter the welding length [mm], the number of passes as well as the distance between the welds [mm] for each individual weld. Note: if the distance between the welds is not known, enter 0 or an estimate 8. Enter if you want to save your results or not Note: please include “.xls” in the filename to save the file as Excel After everything is entered the results are presented in kg of emitted CO2 on the right, please scroll down. For the welding process emitted fumes and particles (shielding gas 1&2) are presented as well.
Nowadays sustainable design is a mandatory requirement in the product development pro-cess. For this reason, design methodologies are addressed to establish a close relationship between environmental, social and economic impact indicators and product features from early design stages, especially in those features related to its manufacturing. In this thesis, the design for manufacturing and assembly — DFMA methodology shall be investigated to sheet metal devices, integrating functional and component relationships to minimize particu-lar sustainability indicators such as energy consumption, carbon footprint, number of parts, required amount of material, assembly time and manufacturing costs. You shall be open to discuss with suppliers their energy consumption and compare various manufacturing pro-cess possibilities based on their carbon footprint and other sustainability indicators. The aim of this thesis is to support the design engineer with a guideline of how to be able to develop not only cost efficient concepts but in the same time be able to reduce the carbon footprint and other sustainability indicators of their product.
Sustainability Analysing and Comparing Tool in Design for Manufacturing
This Monte-Carlo simulation simulates nanoparticles at different temperatures. By applying a simulated annealing protocol, the user can find the most stable, entropically realistic structure of a nanoparticle.
Simple energy model The energy input is a simple mapping of coordination number to energy in eV. The input can be a direct mapping of every coordination number to a distinct energy. Alternatively, a linear energy increase with coordination number can be used, which speeds up the simulation. High performance By using a simple energy model, the simulation can perform up to 10^11 iterations in one day. With a linear coordination number to energy mapping it can reach up to 10^12 iterations in one day. This allows for the simulation of larger nanoparticles. Multithreaded The code allows for as many parallel simulations as cores available on the computing node. This enables the user to obtain a statistically relevant ensemble of low-energy structures. Adding parallel simulations has negligible increase in required RAM. Track the Simulation using the .xyz-format Throughout the simulation it is possible to track the energy and save snapshots of the particle. Furthermore the particle with the lowest energy will be saved as an .xyz-file. Support The simulation can simulate the effect a support can have on the particle. A monometallic support can be created by giving a vector that is orthogonal to the support pane. Usage Requirements Rust Python used version 3.11.10 ASE used version: ase-3.22.1 Install from git git clone git@github.com:T-136/MC-Cluster.git Build the binary Build the program with: cargo build -r After the build step is complete the compiled program can be found in your project folder under "./target/release/mc". Run the simulation ./target/release/MC-Cluster -a Pt,1000 --support Al,1,1,1 -t 1000 -i 1e7 -r 0-1 --e-cn ./example_data/cn_input_example.json -o 9/10 -g ./example_data/303030-grid --support-e 0 --xyz-trajectory Use "-h" or "--help" to see the available flags and how to use them. -s, --start-cluster <START_CLUSTER> -a, --atoms <ATOMS> Atom name and number of that atom seperated by a comma. "Pt,4000" -s, --support <SUPPORT> When creating a new particle using the atoms flag, write the Atom name and a vector orthogonal to the support surface Al,1,1,1. When starting from a xyz file only the support atom is required -f, --folder <FOLDER> Output folder [default: ./sim/] -i, --iterations <ITERATIONS> Determines the length of the simulation -b, --begin-temperature <BEGIN_TEMPERATURE> Temperature where the annealing process starts [default: 5000] -t, --temperature <TEMPERATURE> Temperature at which the annealing process stops [default: 300] -o, --optimization-cut-off-fraction <OPTIMIZATION_CUT_OFF_FRACTION> Fraction of the simulation after which the annealing process is completed. After that, the temperature remains constant [default: 1 2] --support-e <SUPPORT_E> Support energy --e-l-cn <E_L_CN> File path or string containing a JSON-formatted list of energies --e-cn <E_CN> File path or string containing JSON-formatted energies -r, --repetition <REPETITION> How many times the same simulation is run. Multiple runs allow for convergence tests. The number will be part of the simulation folder name. After running `-r 0-1`, you can run `-r 1-2` and the previous simulation will not be overwritten [default: 0 1] -g, --grid-folder <GRID_FOLDER> Folder containing the setup files like neighbor sites. It can be created using the Python script `create_sites.py` [default: ../303030-pair] -x, --xyz-trajectory Track the simulation by taking snapshots of the cluster throughout the simulation --heat-map Generate a heat map -h, --help Print help -V, --version Print version
Monte Carlo Nanoparticles DFT Coordination number Catalysis Simulated annealing
MC-Cluster: a Monte Carlo simulation for nanoparticle
Codes to generate the numerical examples in the publication "INVERSE ELECTROMAGNETIC SCATTERING PROBLEMS FOR LONG TUBULAR OBJECTS". These codes use the Python programming language and are based on the bempp boundary element library (https://bempp.com).
Inverse Scattering Problems for Long Tubular Domains - Codes
Processed micro-tomographic scan of the ant Sericomyrmex cf parvulus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data of "SM-DMA: Solid Medium Droplet Microarray for Miniaturized Antimicrobial Susceptibility Test"
SM-DMA: Solid Medium Droplet Microarray for Miniaturized Antimicrobial Susceptibility Test
Parameters and KPIs from the Real Data Use Case
Weitere Datensätze mit Ergebnissen aus der Dissertation
Digitaler Anhang zur Dissertation "Effiziente Implementierung und Berechnung von NMR-Kopplungskonstanten im Rahmen von nichtrelativistischer und quasirelativistischer Theorie"
Processed micro-tomographic scan of the ant Solenopsis desecheoensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stenamma debile, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex versicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0020, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0020 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Ectomomyrmex insulanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys sp appretiata group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute of Theoretical Solid State Physics, Karlsruhe Institute of Technology
Second harmonic generation (SHG) is forbidden in centrosymmetric molecular materials. However, a signal is frequently observed from interfaces where the symmetry is broken. Whereas the effect can be phenomenologically accommodated, an ab initio qualitative and quantitative description has remained elusive, preventing the exploration of fascinating questions such as how deep below the surface the second harmonic can still be generated. To answer such questions, we present an ab initio multiscale approach to compute the total and layer-dependent intensity of surface SHG from molecular crystals. The microscopic origin of surface SHG is identified in layer-dependent models with embedding partial charges combined with density functional theory. The models show increasing symmetry-breaking distortions of the electron cloud around the molecules as the surface layer is approached. The SHG at the molecular level is determined using time-dependent density functional theory and then brought to the scale of macroscopic films through a rigorous self-consistent multiple scattering formalism capable of predicting the measurable optical intensities of the generated second harmonic signal. We study crystalline molecular films with centrosymmetric unit cells of 7,9-Dibromobenzo[h]quinolin-10-ol. The intensity of the SHG at the surface layer is two orders of magnitude larger than at the next layer below and three orders of magnitude larger than two layers below. Besides providing fundamental understanding, our approach can be used for designing and optimizing optical devices containing nonlinear molecular materials, such as molecular laminates. We show that a relatively basic Kretschmann-like setup can enhance the surface SHG of a crystalline film of centrosymmetric molecular unit cells a thousand times.
Processed micro-tomographic scan of the ant Forelius cf brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera obscuricornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium hiten, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dataset: High-Throughput Miniaturized Synthesis of PROTAC-Like Molecules
The development of miniaturized high-throughput in situ screening platforms capable of handling the entire process of drug synthesis to final screening is essential for advancing drug discovery in the future. In this study, an approach based on combinatorial solid-phase synthesis, enabling the efficient synthesis of libraries of proteolysis targeting chimeras (PROTACs) in an array format is presented. This on-chip platform allows direct biological screening without the need for transfer steps. UV-induced release of target molecules into individual droplets facilitates further on-chip experimentation. Utilizing a mitogen-activated protein kinase kinases (MEK1/2) degrader as a template, a series of 132 novel PROTAC-like molecules is synthesized using solid-phase Ugi reaction. These compounds are further characterized using various methods, including matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) imaging, while consuming only a few milligrams of starting materials in total. Furthermore, the feasibility of culturing cancer cells on the modified spots and quantifying the effect of MEK suppression is demonstrated. The miniaturized synthesis platform lays a foundation for high-throughput in situ biological screening of potent PROTACs for potential anticancer activity and offers the potential for accelerating the drug discovery process by integrating miniaturized synthesis and biological steps on the same array.
High-Throughput Miniaturized Synthesis of PROTAC-Like Molecules
Processed micro-tomographic scan of the ant Cephalotes pallens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus cingulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Chronoxenus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex cf solis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus obscuripes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ferrally, M., Watkins, J. & Ewing, B. Scottish school of physical education.
Processed micro-tomographic scan of the ant Platythyrea MG01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Abbreviations for columns can be linked to the information in the dissertation document.
Dataset ASU_EU_Paper, Additional_Data_Collection_Effective_Use
Supplementary Material for the paper "Results from the Verification of Spectrum Auction Model"
Processed micro-tomographic scan of the ant Formica obscuripes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 24 h of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 24 h of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 24 h
Processed micro-tomographic scan of the ant Dorymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Melissotarsus FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Seven systems are treated in the manuscript sections 3.1 - 3.8. The simulations for sections 3.1 - 3.7 are implemented in Julia (available at https://julialang.org/), the simulation for section 3.8 uses a modification of the Matlab toolbox SSMTool-2.1 (available at https://github.com/haller-group/SSMTool-2.1). To execute the Julia code, setup Julia and a suitable editor (e.g. VSCode, https://www.julia-vscode.org/); the implementation was performed in Julia version 1.7.2. Before any of the .jl-files can be executed for the first time, the necessary packages must be downloaded. For this, press "]" (without quotation marks) in the Julia REPL to enter the package manager, then execute the following commands: add LinearAlgebra add Combinatorics add SparseArrays add DifferentialEquations add Optim add JuMP add Ipopt add NLsolve add Plots add PyPlot add PlotlyJS add TaylorSeries add LaTeXStrings To execute the Matlab code, install Matlab (commercial license required); the implementation was performed in Matlab version R2021b. At the beginning of every Matlab session (after you open Matlab), navigate to the subfolder "External\SSMTool-2.1-master" and run the script "install.m". To run the original system by Jain and Haller (2021), navigate to the subfolder "External\SSMTool-2.1-master\examples\vonKarmanBeam" and run the Workbook "vonKarmanBeamWorkbook.mlx". (Note that none of the other examples contained in SSMTool-2.1 (available at https://github.com/haller-group/SSMTool-2.1) is included in this reference of the code.) To run the modified system as discussed in our manuscript (increased forcing amplitude, modified coefficients), navigate to the subfolder "External\SSMTool-2.1-master\examples\vonKarmanBeam_Modified" and run the Workbook "vonKarmanBeamWorkbook_Modified.mlx". (Note that the runtime may be several hours due to the reference result calculated via continuation with coco.) The modified coefficients are stored in the file \External\SSMTool-2.1-master\examples\vonKarmanBeam_Modified\Alternative_Parametrization\Coefficients\SSM_Coeffs_von_Karman_10EL_Modified.mat which is loaded by the simulation script "vonKarmanBeamWorkbook_Modified.mlx".
This code contains all implementations to produce the results for the following manuscript: A. K. Stoychev, U. J. Römer, "Failing Parametrizations: What can go Wrong when Approximating Spectral Submanifolds", Nonlinear Dynamics 111, 5963-6000 (2023), doi: 10.1007/s11071-022-08154-3 Refer to the file "Code_Failing_Parametrizations_final.zip" for all files and a readme. A preliminary version of the code that was prepared for the preprint with the same title is also available.
Failing Parametrizations: Julia and Matlab Code
Further details on the infrasound records are provided in "Swabian MOSES 2021: An interdisciplinary field campaign for investigating convective storms and their event chains" by M. Kunz et al., Front. Earth Sci. Sec. Atmospheric Science, 2022, DOI: 10.3389/feart.2022.999593
Infrasound data collected by Swabian MOSES 2021
Im Rahmen der Swabian MOSES Kampagne 2021 aufgezeichnete Infraschalldaten
Model output used to produce the graphics of the manuscript Caldas-Alvarez and Khodayar (2020). Observational data are not included as they have been obtained from other institutions. The model output used to produce each graph is labeled "Fig_number_subnumber". The data is readable using MATLAB (files of the format .mat and .nc) and any program able to work with NetCDF data (ncview, ncl, cdo, etc.) for the *.nc files. In the nomenclature, there are 4 simulation types (CTRL-7, NDG-7, CTRL-2.8 and NDG-2.8). The numbers account for the horizontal resolution of the model (7 km or 2.8 km). At times these might also be referred to as EU (for the 7 km) and DE (for the 2.8 km). CTRL refers to the reference runs and the runs including the nudging (see Caldas-Alvarez and Khodayar, 2020) are indistinctly referred to as NDG or AS.
Analysis data to Caldas-Alvarez and Khodayar (2020)
Processed micro-tomographic scan of the ant Ochetomyrmex sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Digitales und Verkehr unter FE-Nr. VB600002 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2012 - 2021
Institut für Neutronenphysik und Reaktortechnik (INR)
The data files provide the prepared distributions of the mean velocities, Reynolds normal, and shear stresses of the publication: Ruck, S. and Arbeiter, F. LDA measurements in a one-sided ribbed square channel at Reynolds numbers of 50 000 and 100 000, Experiments in Fluids. The publication reports on Laser Doppler Anemometry (LDA) measurements in the fully developed turbulent flow through a one-sided rib-roughened square channel with a rib-height-to-channel-height ratio of k/H = 0.0667 and a rib-pitch-to-rib-height ratio of p/k = 9 at Reynolds numbers of Re = 50 000 and 100 000. Please refer to the article above when using the data.
The nomenclature is given in the dat-file.
Dataset of LDA measurements in a one-sided ribbed square channel at Reynolds numbers of 50 000 and 100 000
Investigation of Copper and Brass Nanoparticles for the CO2 Reduction in Organic Electrolytes
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0001, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0001 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
A dataset collected by iPhone X with its TrueDepth Camera for point cloud and inertia measurement unit (IMU) for device motion. For capturing ground truth trajectories, a Niryo robotic arm is utilized to provide real time joint angles as well as their forward kinematics.
Processed micro-tomographic scan of the ant Temnothorax affinis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set comprises (a) all CAD files that are needed to print an isophotonic photoreactor for the precise determination of quantum yields in gas, liquid, and multi-phase photoreactions and (b) a MATLAB® toolbox named phoRex that allows the determination of spectral radiation transport efficiencies (= transport efficiencies from the light source of the isophotonic photoreactor into the reaction volume) as well as other radiation transport related performance metrices via a Monte Carlo ray tracing approach. For details on the reactor design and the simulation environment please refer to the corresponding publication (DOI: 10.1016/j.cej.2022.139204). The toolbox requires a working MATLAB® installation (2018 or later) including the MATLAB parallel computing toolbox. Installation of the toolbox is in accordance with the standard MATLAB® procedure for the installation of new toolboxes. After installation, phoRex provides an environment for Monte Carlo ray tracing simulations mapping radiation transport in 3D in channel-like geometries, for instance photoreactors. For the simulation of the isophotonic photoreactor a comprehensive live script example is given with the file example.mlx comprised in the toolbox. The example guides through the usage of the provided code in the context of quantum yield determination using the proposed isophotonic photoreactor. Further, the comprised pre-processing script preProcessQY.m lines out how simulations are set up in the provided Monte Carlo ray tracing environment. This code example can be employed to understand how to set up own simulation cases for other use cases than the simulation of the isophotonic photoreactor proposed for the accurate determination of quantum yields. For detailed information on the code structure of the Monte Carlo ray tracing approach itself, the author refers to the extensively commented source code given with the class definitions of the toolbox.
Solar driven photocatalysis represents one way to address challenges arising from the need to substitute fossil energy carriers in the world’s economy. The developments in the field of photocatalysis heavily depend on new process designs whose development require methods for the determination of quantum yields and photoreaction kinetics as well as the ability to map radiation transport in complex photoreactors. However, the field of photoreaction engineering is an underdeveloped field lacking reliable and open access tools for radiation transport simulations and standardized photoreactors for quantum yield and photoreaction kinetic measurements. With this data set both a set of CAD files for the facile fabrication of an isophotonic photoreactor for the determination of quantum yields in gas, liquid, and multi-phase photoreactions via additive manufacturing as well as a comprehensive MATLAB®-based toolbox for radiation transport simulations in photoreactors are given. The proposed photoreactor is designed in a way that its reaction volume is isophotonic, which means that the reaction volume shows low gradients in the local volumetric rate of photon absorption. The toolbox allows the determination of radiation transport efficiencies within the isophotonic photoreactor and therewith provides the basis for meaningful data evaluation of experiments conducted with the isophotonic photoreactor. Beyond this concrete use case of the provided toolbox, the toolbox can also be employed for radiation transport simulations in many other use cases. Those range from the evaluation of experiments aiming for the determination of optical properties over light source design to the optimization of photoreactors. The data set therewith not only can support the further development of high quantum yield materials by material scientists in the field of photocatalysis but also can be used by chemical engineers working on new, high efficiency photo reactors or sophisticated light sources especially designed for specific photocatalysts and/or use cases.
Sonnengestützte Fotosynthesen stellen einen Weg dar die Herausforderungen zu meistern, die aus der Notwendigkeit fossile Energieträger in der Weltwirtschaft zu ersetzen resultieren. Die Fortschritte im Bereich solarer Fotosynthesen hängen dabei stark von neuen Prozessdesigns ab. Deren Entwicklung setzt verlässliche Methoden zur Bestimmung von Quantenausbeuten und Fotoreaktionskinetiken und die Fähigkeit Strahlungstransport in Fotoreaktoren akkurat abbilden zu können voraus. Das Gebiet der Fotoreaktionstechnik ist jedoch ein wenig entwickeltes Feld, in dem es an verlässlichen und offen zugänglichen Methoden für Strahlungstransportsimulationen und standardisierten Fotoreaktoren für die Bestimmung von Quantenausbeuten und Fotoreaktionskinetiken fehlt. Mit dem vorliegenden Datensatz wird sowohl ein Satz von CAD Dateien zur Herstellung (via 3D Druck) eines Fotoreaktors für die akkurate Bestimmung von Quantenausbeuten und Fotoreaktionskinetiken als auch eine umfassende, MATLAB®-basierte Toolbox für Strahlungstransportsimulationen bereitgestellt. Der vorgeschlagene Fotoreaktor weist eine isophotonische Reaktionszone auf, was bedeutet, dass die Reaktionszone nur kleine Gradienten in der lokalen volumetrischen Photonenabsorptionsrate aufweist. Die Toolbox erlaubt die Berechnung von Strahlungstransporteffizienzen im isophotonischen Fotoreaktor und stellt damit die Basis für eine sinnvolle Datenauswertung in Experimenten mit dem vorgeschlagenen Fotoreaktor dar. Über diesen konkreten Anwendungsfall der Toolbox hinaus, kann die Toolbox auch für andere Anwendungen im Bereich Strahlungstransportsimulationen eingesetzt werden. Diese reichen von der Auswertung von Versuchen zur Bestimmung von optischen Transporteigenschaften über die Auslegung von Lichtquellen hin zur Optimierung von Fotoreaktoren. Der bereitgestellte Datensatz kann damit nicht nur die Arbeit von Materialwissenschaftler*innen im Bereich der Entwicklung von Fotokatalysatoren mit hohen Quantenausbeuten unterstützen, sondern kann auch im Rahmen der Arbeit von Chemieingenieur*innen eingesetzt werden, die die Entwicklung von effizienten Fotoreaktoren und Lichtquellen für spezifische Fotokatalysatoren oder Anwendungsfälle vorantreiben.
phoRex & QY photoreactor - Monte Carlo ray tracing in MATLAB® & quantum yield measurements
Processed micro-tomographic scan of the ant Phrynoponera transversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm05, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nesomyrmex cf itinerans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis latona, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
Na+ pre-intercalated bilayered vanadium oxide (NVOnH) with a large interlayer spacing of ∼11.1 Å is synthesized via hydrothermal method. As proven by mass spectrometry and magnetization measurements, NVOnH is “oxygen-rich”. NVOnH undergoes a notable structure evolution and thermal instability during heating due to crystal water and O2 release and decomposition. NVOnH and dehydrated NVOnH (NVO) deliver a capacity of over 250 mAh g−1 and 220 mAh g−1, respectively, despite their fast capacity decay in the first 20 cycles and low capacity retention after 100 cycles. Moreover, the reaction mechanism and reversibility of NVOnH and NVO during Na+ ions (de)insertion are investigated via in operando techniques. NVOnH experiences a 2-phase and solid solution reaction during discharge and charge processes while NVO undergoes a different phase evolution (NVO starting with charging: 2-phase reaction for the first charging and only solid solution for the following cycle; NVO starting with discharging: only solid solution reaction). In operando X‑ray absorption spectroscopy demonstrates the variation of the oxidation state and the local structural environment of V ion during Na+ (de)insertion.
The data include electrochemistry data, XPS, TGA, XRD, magnetic data, in situ HT XRD, in situ XRD and XAS data, which were plotted using Origin software.
in situ high-temperature synchrotron diffraction
in operando X‑ray absorption spectroscopy.
Na+ Pre-Intercalated Bilayered V2O5 Cathode Materials for Na-Ion Batteries
Web measurement studies can shed light on not yet fully understood phenomena and thus are essential for analyzing how the modern Web works. This often requires building new and adjusting existing crawling setups, which has led to a wide variety of analysis tools for different (but related) aspects. If these efforts are not sufficiently documented, the reproducibility and replicability of the measurements may suffer---two properties that are crucial to sustainable research. In this paper, we survey 117 recent research papers to derive best practices for Web-based measurement studies and specify criteria that need to be met in practice. When applying these criteria to the surveyed papers, we find that the experimental setup and other aspects essential to reproducing and replicating results are often missing. We underline the criticality of this finding by performing a large-scale Web measurement study on4.5 million pages with 24 different measurement setups to demonstrate the influence of the individual criteria. Our experiments show that slight differences in the experimental setup directly affect the overall results and must be documented accurately and carefully.
This dataset holds additional material to the paper "Reproducibility and Replicability of Web Measurement Studies" submitted to the ACM Web Conference 2022. It contains the measurement data (requests, responses, visited URLs, cookies, and LocalStorage objects) we have collected from 25 different profiles. All data is in CSV format (exported from the Google BigQuery service) and can be imported into any database. Table sizes (according to Google BigQuery): Cookies: 2.8 GB LocalStorage: 6 GB Requests: 626.6 GB Responses: 501.6 GB URL: 38 MB Visits: 935 MB Note: Although our paper does not include the analysis for the collected Cookie and LocalStorage objects, we publish them for further studies. You can find further information about our study on [our repository in GitHub](https://github.com/awareseven/Reproducibility-and-Replicability-of-Web-Measurement-Studies).
Reproducibility and Replicability of Web Measurement Studies
Processed micro-tomographic scan of the ant Pseudoponera stigma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Diplomorium longipenne, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandthe Physik, Institut für Nanotechnologie
On Time-Resolved 3D-Tracking of Elastic Waves in Microscale Mechanical Metamaterials
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.5.0
Simulation data for the modeling, observer and model predictive control are summarized. Model predictive control is utilized to regulate the size of nanoparticles synthesized within a batch reactor under specific temperature, concentration, and pressure conditions. A custom model of the synthesis process is developed, focusing on integrating nucleation, growth, and aggregation phenomena of particles. This model is constructed with a combination of partial and ordinary differential equations, which are efficiently discretized to maintain accuracy and robustness while facilitating real-time implementation of the controller. This method employs dynamic mode decomposition with control to approximate the nonlinear system as a time-discrete linear system. The initial state, estimated from the measured nanoparticle concentration, serves to initialize theoptimization problem solved at each time step. The objective is to minimize the disparity between the desired particle size and the actual size throughout the process by adjusting the power of heaters, thereby controlling the temperature within the reactor.
Particulate System Modeling Population Balance Equation Dynamic Mode Decomposition Observer and Control Design for Particulate Systems
Simulation Data: Modeling, Observer and Controller Design for AZO particle Synthesis and Characterization
Processed micro-tomographic scan of the ant Temnothorax lai-sc sp nov, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex andrei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The file names indicate the measurement conditions (e.g. wave vector, temperature).
Numerical data used to generate the figures of the main text. Datasets for each figure are given in a different folder.
Hybridization of lattice and charge order excitations in a superconducting cuprate (Dataset)
We report the synthesis, crystal structure and magnetic properties of the muffin-shaped complex [Er(PPTMP)$_2$(H$_2$O)][OTf]$_3$ (PPTMP = (4-(6-(1,10-phenanthrolin-2-yl)pyridin-2-yl)-1H-1,2,3-triazol-1-yl)methyl pivalate) (\one). Complex \one\ is shown to exhibit field-induced slow relaxation of the magnetisation at $B = 0.1$~T via two distinct relaxation paths. Using tunable high-frequency/high-field electron paramagnetic resonance spectroscopy we experimentally determine the effective $g$-factors and zero field splittings of the two energetically lowest Kramers doublets (KD). Our data reveal that the distorted muffin-shaped ligand field favours an $m \simeq \pm 9/2$ magnetic ground state, while the main contribution to the first excited KD at $\Delta_{1 \rightarrow 2} = 780(5)$~GHz is suggested to be $m \simeq \pm 5/2$. The ground state $g$-tensor has generally axial form but hosts significant transversal components, which we conclude to be the source of SMM-silent behaviour in zero field. Our findings are backed up by \textit{ab-initio} spin-orbit configuration interaction calculations showing excellent agreement with the experimental data and in particular highlight that the counterions should be included in the numerical modelling of the crystalline structure.
Additional output file for the publication, includes another README file.
Towards Understanding Prolate 4$f$ Monomers: Numerical Predictions and Experimental Validation of Electronic Properties and Slow Relaxation in a Muffin-shaped Er$^\mathrm{III}$ Complex
All raw and alignment scans are included in a single file in the format created and used by SPEC. Additionally, pictures of the mounting and of the different rotations are included. The raw data includes several test samples, as well as phosphor-substituted samples. The relevant sample is sample 3 in the naming of the experiment. The experimental data included here were measured at the XUV diffractometer of beamline UE46-PGM-1 at BESSY II.
BaNi$_2$As$_2$ can be seen as the non-magnetic analogue of the prototype material of the Fe-based superconductors BaFe$_2$As$_2$. At ambient conditions both materials share the same tetragonal I4/mmm structure. At lower temperatures (T≈150K) an incommensurate charge density wave (I-CDW) was found. The I-CDW survives a distortion towards an orthorhombic phase (T=142K) before it is replaced by a commensurate CDW below a triclinic transition (T=137K). Below T$_c$=0.7K the material gets superconducting. The different orders and structural phases can be tuned by substitution e.g. by Sr, Co or P. Recent investigations of the Sr-substituted system give evidence of electronic nematic fluctuations and propose the system as electronic tunable nematic system. The interplay of the different orders in BaNi$_2$As$_2$ and orbital structure of the charge density waves remain unclear. We propose to investigate the orbital structure of the CDWs by a detailed REXS experiment at the Ni-L3 edge. The experimental data included here were measured at the XUV diffractometer of beamline UE46-PGM-1 at BESSY II.
Orbital structure of charge density waves in BaNi$_2$(As$_{1-x}$P$_x$)$_2$ [dataset]
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0015, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0015 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Angewandte Physik, Institut für Nanotechnologie, 3D Matter Made to Order
### General Information This repository contains additional research data contributing to the doctoral thesis "On topological mechanics of 3D chiral metamaterials" by J. Köpfler. Further data of related publications (DOIs: 10.1002/adma.202103205 and 10.1103/PhysRevApplied.11.034059) can be found in the corresponding repository (DOI: 10.5445/IR/1000135066). ### Folder structure: The data in each folder is sorted in subfolders corresponding to the chapters of the doctoral thesis #### Fabrication - contains the 3D printing files for the microstructure casts (double-sided support mirror structure) and a file that was used to design the 3D microcast #### Calculations - contains the files for the Matlab scripts and COMSOL files for the FEM-calculations #### Experiments - contains the image series that was acquired for the evaluation of the resonance of the double-sided support mirror structure - contains the scripts to extract displacement data and generate the resonance plots etc. ### Experimental data treatment: Image cross-correlation was performed using the "grid\_generator\_" functions on the digital images, followed by the "automate\_images\_" functions. The resulting datasets "validx.dat" and "validy.dat" for the tracked x- and y-displacements are loaded, processed, collected, and plotted via the specific "combine\_parts\_" functions in the individual measurement folders.
Contributing research data to the doctoral thesis "On Topological Mechanics of 3D Chiral Metamaterials"
topspin raw data for the mentioned/shown dilution series in the article table with dilution steps
The transition state of PBLG studied by deuterium NMR
Institut für Anorganische Chemie und Strukturchemie, Heinrich-Heine-Universität Düsseldorf
IFG, KNMFi, Karlsruhe Institute of Technology
Gas phase infiltration of the carbonylchloridogold(I), Au(CO)Cl precursor into the pores of HKUST-1 ([Cu3(BTC)2(H2O)2], Cu-BTC) SURMOFs (surface-mounted metal-organic frameworks; BTC = benzene-1,3,5-tricarboxylate) leads to Au(CO)Cl decomposition within the MOF through hydrolysis with the aqua ligands on Cu. Small Aux clusters with an average atom number of x ≈ 5 are formed in the medium-sized pores of the HKUST-1 matrix. These gold nanoclusters are homogeneously distributed and crystallographically ordered, which was supported by simulations of the powder X-ray diffractometric characterization. Aux@HKUST-1 was further characterized by time-of-flight secondary ion mass spectrometry (ToF-SIMS).
Gold nanoclusters inside the metal-organic framework HKUST-1
Dataset of Driving Simulator Study about the influence of an emotionalizing Sound Design on Driving behaviour.
The dataset contains 2D reconstructions of the Ag catalyst obtained using $in$ $situ$ ptychography. The Ag catalyst specimens were mounted on MEMS-based and TEM chips and studied under reaction conditions. Ptychography was performed at the NanoMAX beamline of the MAX IV Laboratory in Lund, Sweden. The specimens were treated in various gas mixtures and heated up to 500 $^{\circ}$C under atmospheric pressures. The gas environments for each specimen and its treatment conditions have been elaborately discussed within the published manuscript. A detailed description of the datasets can also be found in the corresponding readme text.
The ptychography reconstructions were performed using the difference-map algorithm within the PtyPy framework. The uploaded .h5 file contains the data and all relevant information including experiment parameters implemented at the beamline. Further detailed data processing steps following these 2D ptychography reconstructions have been outlined in the supporting information of the associated publication.
2D reconstructions of Ag catalysts studied using in situ X-ray ptychography at the NanoMAX beamline, MAX IV
:title = "Binned SO2 volume mixing ratio (vmr) profiles from MIPAS single retrievals combined with SO2 vmr profiles from MIPAS 10deg zonal and monthly mean spectra"; :institution = "Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research"; :organization = "KIT/IMK-ASF"; :global_target_name = "SO2"; :source = "Satellite MIPAS on Envisat"; :type_of_data = "MEASUREMENTS"; :experiment = "MIPAS"; :platform = "SATELLITE"; :name_of_platform = "ENVISAT"; :data_version = "V5H_SO2_20,V5R_SO2_220,V5R_SO2_221,V5R_SO2_120 and MIPAS-E_IMK.2002-2012.SO2mean_1"; :institute = "KIT/IMK-ASF"; :address = "P.O.B. 3640, 76021 Karlsruhe, Germany"; :email = "michael.hoepfner@kit.edu"; :distribution_statement = "Please follow data policy instructions for the use of this data, to be found on the data distribution site."; :references = "Höpfner et al., 2013, https://doi.org/10.5194/acp-13-10405-2013; Höpfner et al., 2015, https://doi.org/10.5194/acp-15-7017-2015"; :file_creation_time = "2023-09-08T15:50:50.660086"; :file_modification_time = ""; :file_modification_description = ""; :description = "||<= 20 km: 60deglon/10deglat/5day binned profiles from MIPAS single retrieval (Höpfner et al., 2015) || >= 24 km: MIPAS zonal/monthly profiles from mean retrieval (Höpfner et al., 2013) || 21,22,23 km: linearly weighted transition from single to mean profiles"; :version = "v1"; :code_for_dataset_combination = "combine_so2_datasets.py";
Combined gridded stratospheric sulfur dioxide (SO2) dataset (v1) from MIPAS
Institut für Bodenmechanik und Felsmechanik (IBF), Karlsruher Institut für Technologie (KIT)
This dataset contains the experimental data associated with the publication: Extended experimental database of Fontainebleau sand (NE34) and validation of hypoplastic constitutive models Doi: 10.53243/ISFOG2025-169 Additional context and interpretation of the data can be found in the publication. If you require further information or clarification please feel free to contact the corresponding author.
Extended experimental database of Fontainebleau sand (NE34)
DAMAST-KIT- Video Logging in Boreholes Around Enguri High Dam in Georgia: 2020
Raw Data, especially TEM, STEM, confocal microscopy as well as friction data
Raw Data to manuscript on tribologically induced oxidation
Processed micro-tomographic scan of the ant Solenopsis afrc-zm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Readme files that explains the structure of the data are stored inside the folder containing the data
Results of MC simulations (lowest energy geometries and energies, as well as energies and CN-profile taken every 5x107 iterations for each run) for all the investigated particles
Modeling the Shape and Stability of Supported Co Nanoparticles under Fischer-Tropsch Conditions via DFT Calculations and Monte Carlo simulations: Insights into CO-Driven Surface Reconstruction
Processed micro-tomographic scan of the ant Strumigenys aff cincinnata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proceratium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# General Information This repository contains research data contributing to the Advanced Materials Technologies publication "Multi-Photon 4D Printing of Complex Liquid Crystalline Microstructures by In Situ Alignment Using Electric Fields" by A. Münchinger, V. Hahn, D. Beutel, S. Woska, J. Monti, C. Rockstuhl, E. Blasco, M. Wegener In the following it is refered to the Figures and Supporting Movies of this publication. # Folder Structure ## CAD - Needed to machine the electrode holder. The file 'Baugruppe1_2' assembles all the parts. ## Experimental Data ### Figure 3 - Contains all optical microscope and SEM images of the structures depicted in Figure 3. ### Figure 4 - Bimaterial beams are connected to a cylindrical post (compare Figure 4) - The structure is heated within a heating stage - Contains all optical microscope and SEM images of the structures depicted in Figure 4 and Supporting Movie 1. - Contains all MATLAB scripts to generate Supporting Movie 1 - See the README.txt file for details ### Figure 5 - A buckling structure is heated in a heating stage - Contains videos recorded with an optical microscope of the structure - Contains the temperature data - Contains SEM images - Contains all MATLAB scripts to generate Figure 5 and Supporting Movie 2 from the data - See the README.txt file for details ### Figure S2 - DSC curves for the LCN ink were measured - Contains all measured DSC data - Contains all MATLAB scripts to generate Figure S2 - See the README.txt file for details ### Figure S6 - A thin membrane supported by a cylindrical post (compare Figure 3) is heated within a heating stage. - Contains videos recorded with an optical microscope of the structure - Contains the temperature data - Contains all MATLAB scripts to generate Figure S6 and Supporting Movie 3 from the data - See the README.txt file for details ### Supporting Movie 4 - The LCN ink inside a sandwich cell made from two coverslips is located in a heating stage. It is observed with a polarizing optical microscope while the polarizers are crossed - Contains all data to reproduce Supporting Movie 4 - Contains all MATLAB scripts to generate Supporting Movie 4 ## Simulation Data ### Electrostatic Simulations - Contains the COMSOL 5.5 files that generated the data depicted in Figure 1. - Contains the data depicted in Figure 1. - Contains all MATLAB scripts to generate Figure 1 from the data. - Contains all data depicted in Figure S3. - See the README.txt file for details ### Optical Simulations - Contains the simulation files to generate the data depicted in Figure 2. - Contains the data depicted in Figure 2. #### focusaniso - Contains the python scripts that simulated the optical field distribution within the LC ink. - Contains the resulting data - Contains the MATLAB scripts that generate Figure 2c and Figure 2d. - See the README.md file for details #### Power Ratios - Contains the MATHEMATICA notebook that was used to obtain analytical expressions for the transmission coefficients from an isotropic medium to a birefringent medium for a plane wave - Contains the MATLAB scripts that calculate the transmitted power of a focused gaussian beam - Contains the MATLAB scripts that generate Figure 2b. - See the README.txt file for details
Multi-Photon 4D Printing of Complex Liquid Crystalline Microstructures by In Situ Alignment Using Electric Fields
Data from CORONA_new campaign taking place from 2021-08-18 - 2021-04-22 at KIT Campus North. This dataset represents the raw data and the processed data as created by the PIA software v3.0.0 (https://doi.org/10.5281/zenodo.15592883).
The repository comprises data from ice nucleation experiments with the PINE instrument shown in the research article Möhler et al., The portable ice nucleation experiment PINE: a new online instrument for laboratory studies and automated long-term ﬁeld observations of ice-nucleating particles, Figures 3-12, A2, A3, A5, A6. The data is provided in csv format with a comma as delimiter. Each data sets contains either a corresponding readme file or a header describing the content of the data.
Data sets to research article by Möhler et al. “The portable ice nucleation experiment PINE: a new online instrument for laboratory studies and automated long-term ﬁeld observations of ice-nucleating particles”
Processed micro-tomographic scan of the ant Gnamptogenys sulcata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys minutula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Impact of nickel on the surface reaction in ceria-based electrodes for solid oxide cells
This dataset includes files for HELIOS++ (version 1.1.0)
This dataset includes files to reproduce HELIOS++ airborne laser scanning simulations of six 1-ha plots in temperate forests in south-western Germany. In addition, the real ALS data of the same plots is provided. Synthetic 3D representations of the plots were created based on forest inventory information. They were composed of real ULS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns. This dataset includes all files required to run the HELIOS++ simulations, including the synthetic forest stand point clouds, soil layers, scene files, and survey files. The simulation output can then be compared to the real ALS data which is also provided.
Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce the ALS simulations]
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 50 days of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 50 days of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 50 days
Dataset for the paper "Frequency Multiplexing Enables Parallel Multi-Sample EPR"
Frequency Multiplexing Enables Parallel Multi-Sample EPR
The data comprise four tables containing low-temperature infrared extinction spectra, temperature- and composition-dependent ice nucleation onsets, and ice nucleation active surface site densities of crystalline AN/AS particles. The tables are provided in ".txt" format and can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. Each table contains a comprehensive header describing the contents of the individual columns. The data are separated by tabs as a delimiter.
Data sets for the research article "Solid ammonium nitrate aerosols as efficient ice nucleating particles at cirrus temperatures" by Wagner et al. (2020) in the Journal of Geophysical Research (Atmospheres)
- ICON-ART raw data for experiments '1/3xSO2' (Hunga_1_3xSO2.tar.gz) and 'noCoag' (Hunga_noCoag.tar.gz)
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 2/3)
We present the first high resolution measurements of pollutant trace gases in the Asian Summer Monsoon Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim (Stratospheric and upper tropospheric processes for better climate predictions) campaign based in Kathamandu, Nepal, 2017. Measurements of peroxyacetyl nitrate (PAN), acetylene (C$_2$H$_2$), and formic acid (HCOOH) show strong local enhancements up to altitudes of 16 km. More than 500 pptv of PAN, more than 200 pptv of C$_2$H$_2$, and more than 200 pptv of HCOOH are observed.
GLORIA data for: Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017
Institut für Wirtschaftsinformatik (WIN), Karlsruher Institut für Technologie (KIT)
Results of 6'144 regression and their analysis parameters to replicate meta-analysis and SCA. Also included are the resulsts of the 500 randomized samples.
ESG and Stock Returns: Effects of Research Design Choices - Dataset
Processed micro-tomographic scan of the ant Anochetus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Experimental data on the heat transfer coefficient during saturated flow boiling of CO$_2$ in a horizontal cylindrical tube (diameter 14 mm) with integrated metal sponges (open-cell metal foams) are presented in this publication. The nominal cell density of the sponges was 10 ppi (“pores per inch”) or 20 ppi. The mass flux varied from 25 kg m$^{-2}$ s$^{-1}$ to 125 kg m$^{-2}$ $\,^{-1}$ and the vapor quality from 10% to 100%. The saturation pressure was either 12 bar, 19 bar or 26.5 bar. The length filled with sponge upstream of the heated part of the test section was 38 mm for the 10 ppi sponge and either 35 mm or 135 mm for the 20 ppi sponge. For the 20 ppi sample, the proportion of the test section filled with sponge was varied to investigate entrance effects. As a reference, the heat transfer coefficient during flow boiling in the empty tube was determined. In addition, geometric properties of the sponges relevant for the heat transfer coefficient (window diameter, strut diameter, porosity, specific surface area, and heat conductivity), were identified.
# Sponges **10 ppi copper sponge made by replication technique** * total porosity: 91% * open porosity: between 85% and 88% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.45 mm * mean window diameter: 1.6 mm **10 ppi plastic sponge made by 3D printing** * total and open porosity: 86% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.6 mm * mean window diameter: 2.0 mm **20 ppi copper sponge made by replication technique** * total porosity: 90% * open porosity: between 84% and 87% * nominal cell size: approximately 20 pores per inch * mean strut diameter: 0.28 mm * mean window diameter: 1.0 mm # Operating conditions **two-phase flow boiling in test section filled with sponges** * pressure: 12 bar, 19 bar and 26.5 bar * mass flux: 25 kg m-2 s-1 to 125 kg m-2 s-1 * vapor quality: 10% to 100% * heat flux: 3 kW m-2 to 65 kW m-2 * boundary condition: * constant wall temperature * constant wall heat flux **two-phase flow boiling in empty tube** * pressure: 12 bar and 26.5 bar * mass flux: 25 kg kg m-2 s-1 to 150 kg m-2 s-1 * vapor quality: 10% to 100% * heat flux: 1 kW m-2 to 40 kW m-2 * boundary condition: * constant wall temperature * constant wall heat flux
In der hier vorgestellten Publikation werden experimentelle Daten zum Wärmeübergangs-koeffizienten beim gesättigten Strömungssieden von CO$_2$ in einem horizontalen zylindrischen Rohr (Durchmesser 14 mm) mit integrierten Metallschwämmen (offenzellige Metallschäume) präsentiert. Die nominelle Zelldichte der Schwämme betrug 10 ppi („Poren pro Zoll“) bzw. 20 ppi. Der Massenstrom wurde von 25 kg m$^{-2}$ s$^{-1}$ bis 125 kg m$^{-2}$ s$^{-1}$ variiert, der Strömungsdampfgehalt lag zwischen 10% und 100%. Der Sättigungsdruck betrug entweder 12 bar, 19 bar oder 26,5 bar. Die mit Schwämmen gefüllte Länge stromaufwärts der beheizten Zone betrug 38 mm beim 10 ppi Schwamm und entweder 35 mm oder 135 mm beim 20 ppi Schwamm. Für die 20 ppi Probe wurde der Anteil des mit Schwamm gefüllten Testabschnitts variiert, um Einlaufeffekte zu untersuchen. Als Referenz wurde der Wärmeübergangskoeffizient während des Strömungssiedens im leeren Rohr bestimmt. Darüber hinaus wurden die für den Wärme-übergangskoeffizient relevanten geometrische Eigenschaften der Schwämme (Fensterdurchmesser, Stegdurchmesser, Porosität, spezifische Oberfläche und Wärmeleitfähigkeit) ermittelt.
Heat transfer data of two-phase flow in a horizontal tube filled with metal sponge
"Zur Beweglichkeit von Kindern heute und vor zehn Jahren." In: Sportunterricht, 39 (1990) 10, S. 373-384 Die Autoren sind am Institut fuer Sportwissenschaft der Universitaet Hannover taetig. Sie haben in einer empirischen Studie die Frage ueberprueft, ob sich die gegenwaertigen Lebensbedingungen von Grundschulkindern, die zunehmend mit dem viel diskutierten "Bewegungsmangel" beschrieben werden, auf die Entwicklung der Beweglichkeit auswirken. Hierzu haben sie im Herbst 1989 den Entwicklungsstand der Beweglichkeit im Bereich der grossen Gelenke von 74 achtjaehrigen Kindern heute mit den Unterlagen von 74 achtjaehrigen Kindern im Jahre 1979 verglichen. Die beiden Kindergruppen waren parallelisiert, d. h. es waren zwei parallele Gruppen hinsichtlich Geschlecht, Alter und Schule. Die Autoren gingen dabei von der Ueberlegung aus, dass eine hohe Beweglichkeit grundsaetzlich mit einer guten muskulaeren Situation verbunden ist. Diese wirkt sich langfristig gesehen positiv auf den Gesundheitszustand eines Menschen aus und gilt ausserdem als elementare Voraussetzung fuer qualitativ und quantitativ gute Bewegungsausfuehrungen im Sport. Zunaechst einmal wurde bei der Untersuchung der koerperliche Entwicklungsstand ermittelt, wobei sich Unterschiede zwischen den heutigen Grundschulkindern und den Grundschulkindern vor 10 Jahren ergaben. Die Jungen waren 1979 im geschlechtsspezifischen Vergleich bei gleichem Alter groesser und schwerer, hatten breitere Schultern und laengere Arme als die
Zur Beweglichkeit von Kindern heute und vor zehn Jahren
Institut für Hydromechanik (IFH), Karlsruher Institut für Technologie (KIT)
ANIMATIONS FROM "On the clustering of low-aspect-ratio oblate spheroids settling in ambient fluid" by Manuel Moriche, Daniel Hettmann, Manuel García-Villalba and Markus Uhlmann. J. Fluid Mech., 963:A1, 2023. DOI; 10.1017/jfm.2023.261 # Many-particle cases ## Flow configuration The animations correspond to the cases G111 and G152 described in table 1 from the original article. In these cases a set of many particles settle under gravity in a triply periodic configuration. The particles considered are oblate spheroids of aspect ratio 1.5 and the number of them is such that the solid volume fraction is 0.5%, which corresponds to the dilute regime. The cases differ from each other in the Galileo number: `G=sqrt((rhop/rhof-1)*g*D**3)/nu=110.56` and 152.02 for cases G111 and G152, respectively. The size of computational domain is approximately `[55x55x220]D**3`, where D is the diameter of a sphere with the same volume as the spheroids and the resolution used (`D/dx`) is approximately 21. The time is indicated in the videos is expressed in `D/Ug` units, where `Ug=sqrt((rhop/rhof-1)*abs(g)*D)` is a gravitationally scaled velocity. ## Content For each case there are different videos of the initial or converged state, or different representations of the flow/particles. The case, part of the video and representation is contained in the name of each video: 1. Case: - `G111`: Galileo 110.56. - `G152`: Galileo 152.02. 2. Time interval of the simulation: - `INITIAL`: First simulated time, including the time before releasing the particles (t<0). - `CONVERGED`: Statistically stationary part of the simulation. 3. Point of view: `bottom`, `iso`, `side` and `side_zoomed`. 4. Representation. In every video particles are always represented in pink and wakes with transparency isocontours of Q criterion. Additionally, isocontours of filtered vertical velocity are represented in two ways: - `low_speed`: The value to define the isocontour is similar to that of the mixture. In this representation the regions in which particles are located in clustering/non-clustering regions are easily identified. Dark blue face points to non-clustering, slow regions and light blue face points to clustering, fast regions. - `high_speed`: The value to define isocontour is approximately 50% larger than the average velocity of the mixture. Therefore, the isocontours (in yellow) indicate regions of where the downward velocity is greatly enhanced. - `only_wakes`: No flow velocity is represented. Only side zoomed view is available for this representation. # Drafting-kissing-tumbling For illustration purposes one animation is included (`DKT_animation.mp4`) of the drafting-kissing-tumbling simulations. The simulations have been performed for Galileo 110.56 with density ratio 1.5. The size of the computational domain measures `[10.66 x 10.66 x 21.33] D**3`. Four configurations are considered: - Free-to-rotate spheres (angular motion enabled). - Rotationally-locked spheres (angular motion suppressed). - Free-to-rotate spheroids of aspect ratio 1.5 (angular motion enabled). - Rotationally-locked spheroids of aspect ratio 1.5 (angular motion suppressed). In the animation the four configurations are shown for a single initial condition, namely the relative position of the trailing particle with respect to the leading particle is `[0.625, 7.5] D`. The particles are represented in green with a mesh that helps to visualize the rotation and contours of vertical velocity are shown in grey scale. # References: Manuel Moriche, Daniel Hettmann, Manuel García-Villalba and Markus Uhlmann, _"On the clustering of low-aspect-ratio oblate spheroids settling in ambient fluid"_, accepted in J. Fluid Mech. # History: __04.10.2022__ Creation and data added __06.02.2023__ DKT animation added # Contact [Manuel Moriche](mailto:manuel.guerrero@kit.edu) [Markus Uhlmann](mailto:markus.uhlmann@kit.edu)
Supplementary animations "On the clustering of low-aspect-ratio oblate spheroids settling in ambient fluid"
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Runs at 12 UTC. Further includes observational data base. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Deutsche Forschungsgemeinschaft – Project-ID 258734477 – SFB 1173
Approximate Inversion of generalized Radon Transforms - Software package (v1.0)
# == This file is summarizing the content of the data files in this repository published together with the article: AI based 1D P & S-wave Velocity Models for the Greater Alpine Region from Local Earthquake Data VELOCITY FILES AlpsLocPS_VEL.mod - VELEST model file of 'AlpsLocPS_VELEST' (red in Fig. 6 of Braszus et al., 2024) AlpsLocPS_McMC.mod - McMC model of 'AlpsLocPS_McMC' (orange in Fig. 6 of Braszus et al., 2024) GAR1D_PS_VEL.mod - VELEST model file of 'GAR1D_PS_VELEST' (lime in Fig. 6 of Braszus et al., 2024) GAR1D_PS_McMC.mod - McMC model of 'GAR1D_PS_McMC' (purple in Fig. 6 of Braszus et al., 2024) STATION FILES Station corrections have to be substracted from the synthetic travel times ! Only stations with >= 10 observations per phase are included. AlpsLocPS_sta_cors.csv - File listing station data and P- & S-phase station correction terms for the "AlpsLocPS_VELEST" and "AlpsLocPS_McMC" models after relocating all events ( see Table 2 'run2' in Braszus et al., 2024 ) GAR1D_sta_cors.csv - File listing station data and P- & S-phase station correction terms for the final "GAR1D_PS_VELEST" and "GAR1D_PS_McMC" models EVENT FILES events_VELEST.csv - Catalog of relocated events using VELEST PICK CATALOG pick_catalog.csv The following describes the header entries of "pick_catalog.csv" in some more detail "network name,station name,station latitude,station longitude, station elevation in m, event origin time, event latitude, event longitude, event depth in km, pick_type, pick_phase, pick_time, res in s"
The recent rapid improvement of machine learning techniques had a large impact on the way seismological data can be processed. During the last years several machine learning algorithms determining seismic onset times have been published facilitating the automatic picking of large data sets. Here we apply the deep neural network PhaseNet to a network of over 900 permanent and temporal broad band stations that were deployed as part of the AlpArray research initiative in the Greater Alpine Region (GAR) during 2016-2020. We selected 384 well distributed earthquakes with M_L >= 2.5 for our study and developed a purely data-driven pre-inversion pick selection method to consistently remove outliers from the automatic pick catalog. This allows us to include observations throughout the crustal triplication zone resulting in 39,599 P and 13,188 S observations. Using the established VELEST and the recently developed McMC codes we invert for the 1D P- and S-wave velocity structure including station correction terms while simultaneously relocating the events. As a result we present two separate models differing in the maximum included observation distance and therefore their suggested usage. The model AlpsLocPS is based on arrivals from <= 130km and therefore should be used to consistently (re)-locate seismicity based on P & S observations. The model GAR1D_PS includes the entire observable distance range of up to 1000km and for the first time provides consistent P- & S-phase synthetic travel times for the entire Alpine orogen. Comparing our relocated seismicity with hypocentral parameters from other studies in the area we quantify the absolute horizontal and vertical accuracy of event locations as ~2.0km and ~6.0km, respectively.
AI based 1D P & S-wave Velocity Models for the Greater Alpine Region from Local Earthquake Data - (outdated version)
These are the experimental data for the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published on [arXiv](https://arxiv.org/) in 2024. You can find the paper [here](https://doi.org/10.48550/arXiv.2406.01411) and the code [here](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" These are the experimental data for the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published at [arXiv](https://arxiv.org/) in 2024. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 34 hours. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [0a57bcd529](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/0a57bcd52938dce6285e8113d777360c2b17f30f). The commit hash for the last run of the evaluation pipeline (`run_evaluation_arxiv.py`) is [48f2465b4c](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/48f2465b4cabf2d6657e4ff4b73c28c240d0b883). We also tagged both commits (`run-2024-05-13` and `evaluation-2024-05-15`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_arxiv.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 27 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. For the prediction target, we ensured that the minority (i.e., less frequent) class is the positive class (i.e., has the class label `1`), so the labeling may differ from PMLB. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 27 datasets, 5 cross-validation folds, and 6 subgroup-discovery methods. Thus, there are `27 * 5 * 6 = 810` files containing subsets of the results. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` (missing value if no feature-cardinality constraint) - solver timeout `param.timeout` (missing value if not solver-based search) - number of alternatives `param.a` (missing value if only original subgroup searched) - dissimilarity threshold `param.tau_abs` (missing value if only original subgroup searched) For each value combination of these seven columns, there is either one subgroup (search for original subgroups) or six subgroups (search for alternative subgroup descriptions, in which case the column `alt.number` identifies individual subgroups within a search run). Further, note that the last four mentioned columns contain missing values, which should be treated as a category on their own. In particular, if you use `groupby()` from `pandas` for analyzing the results and you want to include any of the last four mentioned columns in the grouping, you should either fill in the missing values with an (arbitrary) placeholder value or use `dropna=False`, because the grouping (by default) ignores the rows with missing values in the group columns otherwise. The remaining columns represent results and evaluation metrics. In detail, all result files contain the following columns: - `objective_value` (float in `[-0.25, 1]` + missing values): Objective value of the subgroup-discovery method on the training set. WRAcc when searching original subgroups and normalized Hamming similarity when searching alternative subgroup descriptions. Missing value for *MORS* as the subgroup-discovery method, since *MORS* does not explicitly compute an objective when searching for subgroups. - `optimization_status` (string, 2 different values + missing values): For *SMT*, `sat` if optimal solution found and `unknown` if timeout. Missing value for all other subgroup-discovery methods (which do not use solver timeouts). - `optimization_time` (non-negative float): The runtime of optimization in the subgroup-discovery method, i.e., without pre- and post-processing steps. - `fitting_time` (non-negative float): The complete runtime of the subgroup-discovery method (as reported in the paper), i.e., including pre- and post-processing steps. Very similar to `optimization_time` except for *SMT* as the subgroup-discovery method, which may spend a considerable amount of time formulating the optimization problem. - `train_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the training set. - `test_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the test set. - `train_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the training set. - `test_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the test set. - `box_lbs` (list of floats, e.g., `[-inf, 0, -inf, -2, 8]`): The lower bounds for each feature in the subgroup description. Negative infinity if a feature's lower bound did not exclude any data objects from the subgroup. - `box_ubs` (list of floats, e.g., `[inf, 10, inf, 5, 9]`): The upper bounds for each feature in the subgroup description. Positive infinity if a feature's upper bound did not exclude any data objects from the subgroup. - `selected_feature_idxs` (list of non-negative ints, e.g., `[0, 4, 5]`): The indices (starting from 0) of the features selected (= restricted) in the subgroup description. Is an empty list, i.e., `[]`, if no feature was restricted (thus, the subgroup contains all data objects). - `dataset_name` (string, 27 different values): The name of the `PMLB` dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 6 different values): The name of the subgroup-discovery method (`Beam`, `BI`, `MORS`, `PRIM`, `Random`, or `SMT`). - `param.k` (int in `[1, 5]` + missing values): The feature-cardinality threshold for subgroup descriptions. Missing value if unconstrained subgroup discovery. Always `3` if alternative subgroup descriptions searched. - `param.timeout` (int in `[1, 2048]` + missing values): For *SMT*, solver timeout (in seconds) for optimization (not including formulation of the optimization problem). Missing value for all other subgroup-discovery methods. - `alt.hamming` (float in `[0, 1]` + missing values): Normalized Hamming similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.jaccard` (float in `[0, 1]` + missing values): Jaccard similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.number` (int in `[0, 5]` + missing values): The number of the current alternative if alternative subgroup descriptions searched. Missing value if only original subgroup searched. Thus, original subgroups either have `0` or a missing value in this column (i.e., for experimental settings where alternative subgroup descriptions searched, there is no separate search for an original subgroup, only a joint sequential search for original and alternatives). - `param.a` (int with value `5` + missing values): The number of desired alternative subgroup descriptions, not counting the original (zeroth) subgroup description. Missing value if only original subgroup searched. - `param.tau_abs` (int in `[1, 3]` + missing values) The dissimilarity threshold for alternatives, corresponding to the absolute number of features that have to be deselected from the original subgroup description and each prior alternative. Missing value if only original subgroup searched. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the columns `box_lbs`, `box_ubs`, and `selected_feature_idxs` (which represents lists and whose values are quoted except for empty lists). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_feature_idxs'] = results['selected_feature_idxs'].apply(ast.literal_eval) ``` Note that this conversion does not work for `box_lbs` and `box_ubs`, where the lists not only contain ordinary numbers but also `-inf`, and `inf`; see [this *Stack Overflow* post](https://stackoverflow.com/questions/64773836/error-converting-string-list-to-list-when-it-contains-inf) for potential alternatives.
Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions"
Diese Übersicht stellt alle im actiTopp Modell verwendeten Modellparameter der logistischen Regressionsschritte dar. Das Modell actiTopp ist ein Modell zur Erzeugung von Wochenaktivitätenplänen für Verkehrsnachfragemodelle. Es wurde am Institut für Verkehrswesen des KIT von Tim Hilgert entwickelt.
Parameter des Modells actiTopp zur Erstellung von Wochenaktivitätenplänen für Verkehrsnachfragemodelle
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Runs at 00 UTC. Further includes observational data base. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Institut für Meteorologie und Klimaforschung
Nomenklatur des Dateinamens: Moses_Location_YYYYMMDD_hhmm.txt. Zeitangaben in UTC Beispiel: Moses_Dittersdorf_20190519_1510.txt bedeutet Aufstieg in Dittersdorf am 19. Mai 2019 um 15:10 UTC ASCII-Dateien mit Header. Der Header beinhaltet die Variblenbezeichungen und die physikalischen Einheiten. Verwendete Variablenbezeichnungen: Time (Zeit seit dem Start in s), P (Luftdruck in hPa), T (Lufttemperatur in °C), Hu (Relative Feuchte in %), Ws (Windgeschwindigkeit in m/s), Wd (Windrichtung in Grad), Geopot (geopotenielle Höhe in m), Dew (Taupunkttemperatur in °C), Rs (Aufstiegsgeschwindigkeit in m/s), D (Luftdichte in kg/m3). Die Daten beinhalten auch Messdaten nach dem Ballonplatzpunkt, negative Rs.
Radiosondendaten, die während der MOSES-Kampagne "Hydrologische Extreme 2019" gemessen wurden. Standort Dittersdorf, Sachsen (13°47'51.28" E, 50°49'23,12" N, 561 ü. NN). Instrumentierung: Graw-Radiosondensystem (Receiver GS-E), Radiosonden: DFM-09 (https://www.graw.de/de/produkte/radiosonden/dfm-09)
Radiosonde data, measured during the MOSES campaign "Hydrological Extremes 2019". Location Dittersdorf, Saxony (13°47'51.28" E, 50°49'23,12" N, 561 above sea level). Instrumentation: Graw radiosonde system (receiver GS-E), radiosondes: DFM-09 (https://www.graw.de/de/produkte/radiosonden/dfm-09)
MOSES Hydrologische Extreme KITcube Radiosondendaten
Radiosondendaten der MOSES-Messkampagne Hydrex 2019
[ECLIPSE]_T1_CBn-amplification_Dataset containing electrochemical and photophysical characterization of CB7-Ru
The data represented in Figure 3 and Figure 4 of the manuscript in the table form, for detailed explanation see text
Feldspar is an important constituent of airborne mineral dust. Some alkali feldspars exhibit particularly high ice nucleation (IN) activity. This has been related to structural similarities of the ice (10-10) prism planes and the (100) planes of alkali feldspar. Here the effect of generating surfaces with close to (100) orientation by means of chemically induced fracturing on the IN activity of alkali feldspar was investigated experimentally. Gem quality K-rich alkali feldspar was shifted towards more Na-rich compositions by cation exchange with an NaCl-KCl salt melt at 850°C, and a system of parallel cracks with an orientation close to (100) was induced. Droplet freezing assay experiments performed on grain mounts of the cation exchanged alkali feldspars revealed an increase of the overall density of ice nucleating active sites (INAS) with respect to the untreated feldspar. In addition, annealing at 550°C subsequent to primary cation exchange further enhanced the INAS density and lead to IN activity at exceptionally high temperatures. Although very efficient in experiment, fracturing by cation exchange is unlikely to be of relevance in the conditioning of alkali feldspars in nature. However, parting planes with similar orientation as the chemically induced cracks may be generated in lamellar microstructures resulting from the exsolution of initially homogeneous alkali feldspar, a widespread phenomenon in natural alkali feldspar known as perthite formation. Perthitic alkali feldspars indeed show the highest IN activity. We ascribe this phenomenon to the preferential exposure of crystal surfaces oriented sub-parallel to (100).
Supplementary data for the manuscript "Effect of chemically induced fracturing on the ice nucleation activity of alkali feldspar" by Kiselev et al., ACP 2021
- mie_x1.csv and mie_x2.csv are outputs from Mie calculation for size parameter<0.5 and size parameter>0.5, respectively. In both files, the columns are aerosol optical properties and physical characteristics of aerosol. The row represent different samples from Mie calculations.
- icon-art-aging-aero_DOM01_ML_0022.nc is the ICON-ART output for dust case study
- Soufriere-April-2021-fplume-aerodyn-forecast_mode_DOM03_ML_0162.nc is the ICON-ART output for volcano case study
Data used for training and validating MieAI model:
- icon-art-LAM_DOM01_ML_0023.nc is the ICON-ART output for Biomass case study
MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models
A neural operator-based surrogate solver for free-form electromagnetic inverse design
Landscape-level prediction maps from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (IOJPRS). The prediction maps for the states of Germany will be constantly updated. Files are organized by federal states of Germany and are named according to ISO 3166-2 and year, respectively.
Data package from: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series
file consists of data from following sensors, obtained during experiments: • rugged field meter IDB systems I • static field meter IDB systems • electrometer • resistance meter station • pipework thermocouples T • pressure sensor • mass flow sensor • near‐field weather station • far‐field wind sensor • far‐field humidity sensor
Summary of experiment series E4.3 (Electrostatic Ignition) results
IASI (Infrared Atmospheric Sounding Interferometer) is the core instrument of the currently three Metop satellites of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites). The MUSICA IASI processing has been developed in the framework of the European Research Council project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). The MUSICA IASI processor performs an optimal estimation of the vertical distributions of H2O, the ratio HDO/H2O, N2O, CH4, and HNO3, and works with IASI radiances measured for cloud-free conditions in the spectral window between 1190 and 1400 cm-1. This data file encompasses the retrieval output (processing with version 3.2.1) for a total of 74 observations over the polar site of Sodankylä (67.4°N), the mid-latitudinal site of Lindenberg (52.2°N), and the tropical site of Manus Island (2.0°N). In addition to the variables of the standard output data files, this extended output data file contains detailed information on Jacobians and gain matrices. The extended output information can be used to assess the impact of different uncertainty sources, like surface emissivity or spectroscopic parameters, and different cloud types on the retrieval results, for the three different climate zones (polar, mid-latitudinal, tropical). The corresponding MUSICA IASI full retrieval product standard output is accessible via https://doi.org/10.35097/408 and the MUSICA IASI full retrieval and its extended and standard outputs are described in detail in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
Remote Sensing, Satellite, Metop, IASI, MUSICA, Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues, N2O, nitrous oxide, CH4, methane, HNO3, nitric acid, Jacobian matrix, Gain matrix
MUSICA IASI full retrieval product extended output (processing version 3.2.1)
Processed micro-tomographic scan of the ant Odontomachus assiniensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
European Commission, Joint Research Centre (JRC), Ispra, Italy
Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany
Secondary ions mass spectrometric method for assessing surface density of PEGylated liposomal nanomedicines
This folder contains videos of face masks (Mask) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V2 (videos)
Raw data for ex situ and in situ/operando characterization, catalytic testing and DFT calculation results In agreement with FAIR data principles, the XAS spectra of reference materials were additionally provided for upload in the RefXAS database. More information on RefXAS can be found in the work of Paripsa and Gaur et al. (DOI: 10.1107/S1600577524006751). Additional Affiliation of Paolo Dolcet: Dipartimento di Scienze Chimiche Università degli Studi di Padova Via Francesco Marzolo 1 35131 Padova, Italy Additional Affiliation of C. Kübel: Institute of Materials Research Technical University Darmstadt (TUDa) Peter-Grünberg-Straße 2, 64287 Darmstadt, Germany Affiliation of Mads Lützen: National Centre for Nano Fabrication and Characterization (DTU Nanolab), Technical University of Denmark (DTU), Lyngby 2800Kgs, Denmark Affiliation of Christian D. Damsgaard: National Centre for Nano Fabrication and Characterization (DTU Nanolab) and Department of Physics (DTU Physics), Technical University of Denmark (DTU), Lyngby 2800Kgs, Denmark
Lifecycle of Pd Clusters: Following the Formation and Evolution of Active Pd Clusters on Ceria During CO Oxidation by In Situ/Operando Characterization Techniques - raw data
Processed micro-tomographic scan of the ant Neoponera unidentata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus haematodus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This database consists of experimental data acquired for the investigation of a prefilming airblast atomizer under oscillating airflow. Datasets of the airflow measured with a hot wire CTA are attached, as well as spray droplet characteristics measured with PDA. Explanation of what the data represent is provided in .txt files attached as well.
Experimental Dataset of the PhD Dissertation on Airblast Atomization
Simulations of spatially developing turbulent boundary layers with localized application of three different control techniques aimed at reduction of skin friction drag. Considered control techniques are uniform blowing, body-force damping of wall-normal velocity component and opposition control. Stroh, A., Hasegawa, Y., Schlatter, P., & Frohnapfel, B. (2016) "Global effect of local skin friction drag reduction in spatially developing turbulent boundary layer." Journal of Fluid Mechanics, 805, 303-321, doi: 10.1017/jfm.2016.545 https://doi.org/10.1017/jfm.2016.545 Key Data - pseudo-spectral solver SIMSON External Link - streamwise and spanwise periodicity of simulation domain - weak random forcing for turbulence tripping - Grid size Nx×Ny×Nz=3072×301×256 - Domain size Lx×Ly×Lz=3000×120×100 (based on initial displacement thickness) - uncontrolled flow: Reθ=400-2500, Reτ=170-850 - three control types: uniform blowing with 0.5%U∞, damping of wall-normal velocity component by imposition of body force and opposition control scheme - control region location: x=186-386 Please provide a reference to the article above when using this data. Please direct any questions to Alexander Stroh at alexander.stroh@kit.edu
Flow statistics of spatially developing turbulent boundary layers with localized application of three different control techniques aimed at reduction of skin friction drag.
Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eg-genstein-Leopoldshafen, Germany.
Cryo Electron Microscopy, BioQuant, Heidelberg University and University Hospital, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
Polyradicals, magnetic polymers, magnetic beads, stable neutral radicals, chemical distributions, analytical TEM
Direct Visualization of Homogeneous Chemical Distribution in Functional Polyradical Microspheres
Processed micro-tomographic scan of the ant Odontomachus hematodus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax rottenbergii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Harpegnathos saltator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die Versuche wurden in einer Borosilikatglaskapillare mit einem inneren Querschnitt von 2 mm × 2 mm durchgeführt. Die Taylor-Strömung wurde mit einer Injektionsnadel im co-flow erzeugt. Am Eintritt wurde das Verhältnis der Gas- und Flüssigvolumenströme, die Gesamtleerrohrgeschwindigkeit, sowie das Verhältnis von CO2 zu N2 in der Gasphase variiert. Es wurde mit 1 M und 2 M Natronlauge gearbeitet. Die Konzentrationsprofile wurden nur im Flüssigkeitspfropfen zwischen den Blasen aufgenommen. Es handelt sich um zwei Datensätze: erstens die in-situ mit dem Raman-Analyse-System ermittelten Konzentrationsprofile des Karbonats und des Bicarbonats und ergänzend die offline ermittelte Blasengröße. Konzentrationsprofile - RamanData.csv: Die Ausdehnung des Detektionsvolumen der konfokalen Optik des Laser-Raman-Systems wurde experimentell zu 15 μm × 15 μm × 70 μm bestimmt. Die Messdauer wurde durch die Pulsdauer des Lasers von 10 μs definiert. Die Produkte Karbonat und Bikarbonat konnten mit einer Nachweisgrenze von 0,04 mol/L bzw. 0,05 mol/L detektiert werden. Mit dem Schattenverfahren betrug die Messunsicherheit 3 % für Sluglänge und Blasengeschwindigkeit bzw. 8 % für die Bestimmung der Position des Messpunktes relativ zur Blase. Die Genauigkeit konnte mit dem holographischen Verfahren um Faktor zwei verbessert werden. Bei der reproduzierbaren Taylor-Strömung ermöglicht die Analyse einer Vielzahl an Messpunkten die Rekonstruktion der Konzentrationsfelder im Slug um die Blase. Der Datensatz enthält 22880 Messpunkte mit den folgenden Daten: 1: 'expNo' bezieht sich auf die in der Dissertationsschrift veröffentlichte Nummerierung der verschiedene Versuchsbedingungen 2: 'distancez(height)' Abstand zur Kontaktierung von Gas und Flüssigkeit / mm 3: 'distancey(lateral)' Versatz lateral zum Kanalzentrum in mm (siehe Abb. 7.14, S. 182 in der Dissertationsschrift) 4: 'distancex(frontal)' Versatz frontal zum Kanalzentrum in mm (siehe Abb. 7.14, S. 182 in der Dissertationsschrift) 5: 'Konz. CO3in mol/l' mit dem Raman-System ermittelte Karbonatkonzentration in mol/L 6: 'Konz. HCO3mol/L' mit dem Raman-System ermittelte Bikarbonatkonzentration in mol/L 7: 'distanceto cap' Abstand des Messpunkts zur Blasenkappe der nachfolgenden Blase in μm 8: 'distanceto tail' Abstand des Messpunkts zum Blasenende der vorangehenden Blase in μm 9: 'sluglengthin um' Sluglänge in μm 10: 'velocityin m/s' Geschwindigkeit der Blase in m/s 11: 'J*_NaOHin ml/min' Volumenstrom der Natronlauge am Kanaleintritt in mL/min 12: 'NaOH_invalue in mol/l' Konzentration der Natronlauge am Kanaleintritt in mol/L 13: 'J*_N2in ml/min' Volumenstrom des Stickstoffs am Kanaleintritt in mL/min 14: 'J*_CO2in ml/min' Volumenstrom des Kohlenstoffdioxids am Kanaleintritt in mL/min 15: 'Temp.inlet gas' Temperatur des Gasgemisches am Kanaleintritt in °C 16: 'Temp.inlet liquid' Temperatur der Natronlauge am Kanaleintritt in °C 17: 'Temp.outlet' Temperatur am Kanalaustritt in °C 18: 'Datum' Aufnahmedatum des Messpunkts Blasenlänge - BubbleLength.csv: Die Blasenlänge wurde im Anschluss an die Raman-Messungen mithilfe einer Spiegelreflexkamera (Canon EOS 400D Digital, 3888 × 2592 Pixel, Verschlusszeit 1/200 s, Blitzdauer 80 μs) untersucht. Für jedes Experiment wurde aus mehreren Bildern die Blasenlänge abhängig vom Abstand zur Kontaktierung ermittelt. Der Dataframe enthält für jedes Experiment mit expNo X und den Eingangsbedingungen entsprechend des ersten Dataframes den Abstand des Blasenzentrums der betrachteten Blase zur Kontaktierung 'expX_y/mm' in mm und die Blasenlänge 'expX_lB/mm' in mm. 1: 'exp1_y/mm' 2: 'exp1_lB/mm' 3: 'exp2_y/mm' 4: 'exp2_lB/mm' 5: 'exp3_y/mm' 6: 'exp3_lB/mm' 7: 'exp4_y/mm' 8: 'exp4_lB/mm' 9: 'exp5_y/mm' 10: 'exp5_lB/mm' 11: 'exp6_y/mm', 12: 'exp6_lB/mm', 13: 'exp7_y/mm', 14: 'exp7_lB/mm' 15: 'exp8_y/mm' 16: 'exp8_lB/mm' 17: 'exp9_y/mm' 18: 'exp9_lB/mm' 19: 'exp10_y/mm' 20: 'exp10_lB/mm' 21: 'exp11_y/mm' 22: 'exp11_lB/mm' 23: 'exp12_y/mm' 24: 'exp12_lB/mm' 25: 'exp13_y/mm' 26: 'exp13_lB/mm' 27: 'exp14_y/mm' 28: 'exp14_lB/mm' 29: 'exp15_y/mm' 30: 'exp15_lB/mm' 31: 'exp16_y/mm' 32: 'exp16_lB/mm' 33: 'exp17_y/mm' 34: 'exp17_lB/mm' 35: 'exp18_y/mm' 36: 'exp18_lB/mm' 37: 'exp19_y/mm' 38: 'exp19_lB/mm' 39: 'exp20_y/mm' 40: 'exp20_lB/mm' 41: 'exp21_y/mm' 42: 'exp21_lB/mm' 43: 'exp22_y/mm' 44: 'exp22_lB/mm' 45: 'exp23_y/mm' 46: 'exp23_lB/mm' 47: 'exp24_y/mm' 48: 'exp24_lB/mm' 49: 'exp25_y/mm' 50: 'exp25_lB/mm' 51: 'exp26_y/mm' 52: 'exp26_lB/mm' Details zum Versuchsaufbau, den Auswerteroutinen sowie den Messunsicherheiten sind der zugehörigen Dissertationsschrift und den Veröffentlichungen zu entnehmen.
This data set was collected as part of the priority program "Reactive Bubbly Flows" of the German Research Foundation. The chemical absorption of CO2 in sodium hydroxide solution in a borosilicate glass capillary with a cross-section of 2 mm × 2 mm was considered. The experimental conditions led to the formation of the reactive gas/liquid Taylor flow, a stable and reproducible flow pattern Using a specially adapted laser Raman analysis system, the concentration profiles of the products carbonate and bicarbonate in the plug between the bubbles could be determined. The two techniques, Mach-Zehnder off-axis holography and the direct shadow method, were used equivalently and synchronized to the Raman system to acquire additional information regarding bubble size and velocity as well as the position of the Raman measurement relative to the bubble. The temporally and spatially resolved measurements experimentally collected in this work form the basis for a better understanding of gas/liquid reactions. They will be used to validate existing and new three-dimensional CFD models that consider hydrodynamics, mass transfer and transport as well as reaction and their interaction in the Taylor flow.
Dieser Datensatz wurde im Rahmen des Schwerpunktprogramms „Reaktive Blasenströmungen“ der Deutschen Forschungsgemeinschaft erhoben. Betrachtet wurde die chemische Absorption von CO2 in Natronlauge in einer Borosilikatglaskapillare mit einem Querschnitt von 2 mm × 2 mm. Die vorliegenden Versuchsbedingungen führten zur Ausbildung der reaktiven Gas/Flüssig-Taylor-Strömung, einer stabilen und reproduzierbaren Strömungsform. Mithilfe eines speziell adaptierten Laser-Raman-Analysesystems konnten die Konzentrationsprofile der Produkte Karbonat und Bikarbonat im Pfropfen zwischen den Blasen ermittelt werden. Die beiden Techniken, Mach-Zehnder-Off-Axis-Holographie und das direktes Schattenverfahren, wurden äquivalent verwendet und auf das Raman-System synchronisiert. So konnten zusätzliche Informationen bezüglich der Blasengröße und -geschwindigkeit sowie der Position der Raman-Messung relativ zur Blase erfasst werden. Die im Rahmen dieser Arbeit experimentell erhobenen zeit- und ortsaufgelösten Messungen bilden die Grundlage für ein besseres Verständnis von Gas/Flüssig-Reaktionen. Sie sollen zur Validierung bestehender und neuer dreidimensionaler CFD-Modelle dienen, welche die Hydrodynamik, den Stoffübergang und -transport sowie die Reaktion und deren Zusammenspiel bei der Taylor-Strömung berücksichtigen.
CO2-Absoption in Natronlauge bei der Taylor-Strömung in Millikanälen - Konzentrationsprofile im Slug
There are three csv-files labeled "InputDesign" which give the input combinations of parameters used for the COSMO simulations. The remaining csv-files contain the processed model output (spatio-temporal means or maximum values) for output parameters of interest. This dataset was used to train the emulators which are also included as R workspaces. The R package "Sensitivity" is necessary to perform sensitivity analyses using the emulators.
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics (updated version)
Processed micro-tomographic scan of the ant Camponotus brutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V5 (videos)
Processed micro-tomographic scan of the ant Discothyrea diana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg–Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figures2 and 3 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - matplotlib - 3.1.2 - tikzplotlib - 0.9.8 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figures In the folder "code_23_DoerichHenning_GL" open a console and run the following commands after each other (2a+b, 4a+b can be executed in paralell). 1) Run "python3 c1_generate_rectangle.py" 2a) Run "python3 c2a_GL_FEM_comp_all_min_finest.py" 2b) Run "python3 c20_GL_FEM_comp_kappa20.py" 3) Run "python3 c2b_GL_FEM_comp_all_min.py" 4a) Run "python3 c3a_GL_FEM_comp_all_errors.py" 4b) Run "python3 c3b_GL_FEM_comp_all_eigs.py" 5) Run "python3 c4_GL_FEM_draw_error_plot.py" After running the calculations, the files are stored as follows: (a) the folder "plots_for_paper" contains the pdf and tikz files for the error plots in Figure 2 and 3. (b) the folders "sol_ref_3_Mag_st_2.0_kappa_[KAPPA]_P1_square" contain all figures of the solutions where [KAPPA] is replaced by the respective value.
Numerical experiments for "Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-κ regime" (v2)
Observation of Chirality-Induced Roton-Like Dispersion in a 3D Micropolar Elastic Metamaterial
The files contain the precipitation, Integrated Water Vapor (IWV) and specific humidity data from the COSMO model for the mentioned publication
Model data to "The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6" by Caldas-Alvarez et al., (2021)
Processed micro-tomographic scan of the ant Dolichoderus decollatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Neutronenphysik und Reaktortechnik (INR), Karlsruher Institut für Technologie (KIT)
The nomenclature is given in the data-file
The file contains the prepared distributions of the mean velocities, Reynolds stresses, triple velocity correlations, skewness and kurtosis of the publication: Ruck, S. and Lorenzo Mercado, I. The effects of wall proximity on the turbulent flow field in a square duct structured with detached divergent ribs on one wall, Experiments in Fluids.
Turbulent channel flow Divergent detached ribs Ribbed surfaces Laser-Doppler-anemometry Separated flows
Dataset of the effects of wall proximity on the turbulent flow field in a square duct structured with detached divergent ribs on one wall
Processed micro-tomographic scan of the ant Cephalotes maculatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Experimental data of the publication "Control of Electrolyte Intrusion in Carbon-free Silver Gas Diffusion Electrodes for Electrochemical CO2 Reduction", Chemical Engineering Journal (2025).
Research Data of Publication "Control of Electrolyte Intrusion in Carbon-free Silver Gas Diffusion Electrodes for Electrochemical CO$_2$ Reduction"
Processed micro-tomographic scan of the ant Mycocepurus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex halidaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code is used for the numerical experiments in the dissertation "A unified error analysis for the numerical solution of nonlinear wave-type equations with application to kinetic boundary conditions" by Jan Leibold (cf. Section 6.5)
The computations are done in C++ using the Finite Element library deal.II; the plots from the dissertation then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Before running the program, specify in the 'config.ini' for which figures the calculations should be performed. By default, the calculations for all plots are performed. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'. In this file it can also be selected which plots should be generated.
Numerical experiments to the dissertation "A unified error analysis for the numerical solution of nonlinear wave-type equations with application to kinetic boundary conditions"
Processed micro-tomographic scan of the ant Lophomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Bethylidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera punctatissima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus rufoglaucus zanzibaricus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains the input data and result data for the paper "Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles". There is a txt file in each folder with the name "Information" that describes the data in more detail.
Input data and result data for the paper "Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles"
Processed micro-tomographic scan of the ant Labidus coecus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V5 (videos)
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V4 (videos)
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V2 (videos)
Processed micro-tomographic scan of the ant Pogonomyrmex badius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The simulations were performed with the atmospheric component of the ICON model. The model was run with the physics package used for numerical weather prediction (version 2.1.00) and with R2B04 horizontal resolution (approximately 160km) with 47 levels extending up to 75km. A time step of 720s was used. We used a present-day setup and the cloud-locking method to determine the impact of cloud-radiative changes. For the cloud-locked simulations, the number after T (sea-surface temperature) and C (cloud-radiative properties) are - 1 for the control simulation (CTL) - 2 for the uniform SST increase (UNI) - 3 for the patterned SST increase (PAT) # 4d (time-lev-lat-lon) data free clouds - ICON-NWP_AMIP_free_3d_mm.nc (control simulation) - ICON-NWP_AMIP4K_free_3d_mm.nc (uniform 4K SST increase) - ICON-NWP_AMIPFuture_free_3d_mm.nc (patterned SST increase) locked clouds - ICON-NWP_AMIP_T?C?_3d_mm.nc Files contain monthly-mean data for 30 years (free clouds) and 29 years (locked clouds), respectively. The first simulated year is excluded from the files (spin-up period). # Partial Radiative Perturbation Calculation - ICON-NWP_prp_T1C1_vs_T1C2_3d_mm.nc (PRP for uniform SST increase) - ICON-NWP_prp_T1C1_vs_T1C3_3d_mm.nc (PRP for patterned SST increase) Files contain monthly-mean data for 29 years. The first simulated year is excluded from the files (spin-up period). # storm track data - st_ICON-NWP_AMIP_T?C?_geopot500.nc: time-mean storm track (mean over all years) - st_T?C?_1980to2008.nc: time series of annual-mean storm track data - st_ICON-NWP_AMIP_T?C?_geopot500_DJF.nc: time-mean storm track for DJF season (mean over all years) - st_T?C?_1980to2008_DJF.nc: time series of DJF storm track data -> analogously for MAM, JJA, SON
ICON model simulations for publication "Cloud-radiative impact on the regional responses of the mid-latitude jet streams and storm tracks to global warming"
This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg--Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figure 1 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - matplotlib - 3.1.2 - tikzplotlib - 0.9.8 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figures In the folder "CRC1173_Preprint_2023-11_Codes" open a console and run the following commands after each other (2a-c can be executed in paralell). 1) Run "python3 c1_generate_rectangle.py" 2a) Run "python3 c2_GL_FEM_comp_all_min.py" 2b) Run "python3 c16_GL_FEM_comp_kappa16.py" 2c) Run "python3 c20_GL_FEM_comp_kappa20.py" 3) Run "python3 c3_GL_FEM_comp_all_errors.py" 4) Run "python3 c4_GL_FEM_draw_error_plot.py" After running the calculations, the files are stored as follows: (a) the folder "plots_for_paper" contains the pdf and tikz files for the error plots in Figure 1. (b) the folders "sol_ref_3_Mag_st_2.0_kappa_[KAPPA]_P1_square" contain all figures of the solutions where [KAPPA] is replaced by the respective value.
Numerical experiments for "Error bounds for discrete minimizers of the Ginzburg--Landau energy in the high-$\kappa$ regime"
Model output used to produce the graphics of the manuscript Caldas-Alvarez and Khodayar (2019). Observational data are not included as they have been obtained from other institutions. The model output used to produce each graph is labeled "Fig_number_subnumber". The data is readable using MATLAB (files of the format *.mat and *.nc) and any program able to work with NetCDF data (ncview, ncl, cdo, etc.) for the *.nc files. In the nomenclature, there are 4 simulation types (CTRL-7, NDG-7, CTRL-2.8 and NDG-2.8). The numbers account for the horizontal resolution of the model (7 km or 2.8 km). At times these might also be referred to as EU (for the 7 km) and DE (for the 2.8 km). CTRL refers to the reference runs and the runs including the nudging (see Caldas-Alvarez and Khodayar, 2019) are indistinctly referred to as NDG or AS.
Model output to the figures in Caldas-Alvarez and Khodayar (2019)
LIFT printing stands as a unique technique for localized deposition of e.g.\ nanoparticle pastes onto target substrates. The extent of its versatility hinges upon the availability of nanoparticle inks that align with the capabilities of the printing device. Given the inherent distinctions among various devices attributed to differences in laser types (continuous-wave or pulsed), laser energy profiles, and adaptable wavelengths, ink formulation and the LIFT printing processes are frequently disjointed, which results in a lengthy optimization cycle. Significantly expedited optimization cycles could be achieved if LIFT performance of an ink could be tested on-site of the ink developer. This localization empowers ink developers to tailor inks precisely to specific usage scenarios by promptly adjusting parameters such as particle size, viscosity, and surface properties. This paper presents a dedicated LIFT device that focuses on fine-tuning ink characteristics, and provides insights into the construction to allow other interested researchers to build similar low-cost, easy-to-operate setups.
These are images generated for the planned publication. There is also measurement data from viscosity measurements, and dot size measurements. Also there is machine code for arduino
A portable LIFT printer to enable the fast on site optimization of inks toward special customer needs
Simulation files obtained with code phaseFieldFoam, OpenFOAM-ext 4.0 (ASCII format) Figure files (OriginLab 2019)
Research data for publication Dadvand et al. (2021) Physics-of-Fluids (doi: 10.1063/5.0048614)
Reconstructed ptychographic X-ray computed tomography data sets acquired at Swiss Light Source, Beamline cSAXS (proposal MG24079-1) of the dried gels Al2O3-dr and NiAl2O3-dr and the calcined samples Al2O3-calc and NiAl2O3-calc of the identical particles. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
The data contains the reconstructed tomogram slices in a ".tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the ".txt" files. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained as described in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data sets of the dried gel Ni/Al$_{2}$O$_{3}$-dr, Al$_{2}$O$_{3}$-dr samples and the calcined samples Ni/Al$_{2}$O$_{3}$-calc, Al$_{2}$O$_{3}$-calc
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0002, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0002 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Apomyrma stygia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This experiment simulates the extended sinoatrial node cell models of Severi et al. (2012) and Fabbri et al. (2017) with several [Ca2+]o and [ISO]. The extension of the AC-cAMP-PKA signalling cascade is based on the work of Behar et al. (2016).
Sympathetic Stimulation Can Compensate for Hypocalcaemia-Induced Bradycardia in Human and Rabbit Sinoatrial Node Cells (v1.0)
Processed micro-tomographic scan of the ant Strumigenys ohioensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Centre for Materials Science, Queensland University of Technology
Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
Microparticles, ortho-methyl benzaldehydes, methylisophthalaldehydes, polydiimides, light induced polymerization
Microspheres from Light – A Sustainable Materials Platform
The provided dataset includes all relevant data to comprehend and reproduce the PhD work of Tobias Schorr with the title "Assessing the Potential of Cirrus Cloud Thinning through Cloud Chamber Experiments and Parcel Model Simulations" (DOI: 10.5445/IR/1000168905). The AIDA cloud chamber data contains a unique experimental investigation of the competition between homogeneous and heterogeneous freezing at cirrus conditions (< 230 K). The climate engineering concept of "cirrus cloud thinning" (CCT) is modeled with the box model MAID and the initialization files as well as result summary tables are provided within the dataset.
The contained files and their handling is closer explained in the file `README.md`. The README.md file also contains links to the remote git repositories of the microphysical box model MAID, as well as to the analysis software of the AIDA cloud chamber data.
Datasets to PhD thesis: Assessing the Potential of Cirrus Cloud Thinning through Cloud Chamber Experiments and Parcel Model Simulations
Processed micro-tomographic scan of the ant Neoponera marginata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys benten, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
***Sponges*** --- **10 ppi copper sponge (total length 200 mm, diameter 14 mm) made by replication technique** * total porosity: 91% * open porosity: between 85% and 88% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.45 mm * mean window diameter: 1.6 mm **10 ppi plastic sponge (total length 47 mm, diameter 14 mm) made by 3D printing** * total and open porosity: 86% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.6 mm * mean window diameter: 2.0 mm **20 ppi copper sponge (total length 247 mm, diameter 14 mm) made by replication technique** * total porosity: 90% * open porosity: between 84% and 87% * nominal cell size: approximately 20 pores per inch * mean strut diameter: 0.28 mm * mean window diameter: 1.0 mm ***Operating conditions*** --- **two-phase flow:** * pressure: 12 bar and 26.5 bar * mass flux: 25 kg m-2 s-1 to 150 kg m-2 s-1 * vapor quality: 10% to 100% * adiabatic: heat flux: less than 0.9 kW m-2 * diabatic: heat flux: 8 kW m-2 to 40 kW m-2 **single-phase flow:** * temperature: -10 °C to -15 °C * mass flux: 25 kg m-2 s-1 to 150 kg m-2 s-1 * heat flux: less than 0.9 kW m-2
Experimental data on the adiabatic and diabatic two-phase flow of saturated CO2 in a horizontal cylindrical tube (diameter 14 mm) with integrated metal sponges (open-cell metal foams) are presented. Moreover, the pressure drop of single-phase flow inside the same metal sponges was investigated. The nominal cell density of the sponges is 10 ppi (“pores per inch”) or 20 ppi. The mass flow was varied from 25 kg/(m²s) to 150 kg/(m²s) and the flow vapor quality from 0.1 to 1 in case of two-phase flow. The saturation pressure was either 12 bar or 26.5 bar. The length filled with sponges upstream of the test section varied from 12 mm to 210 mm for 10 ppi sponges and was 109 mm for 20 ppi sponges. In addition, geometric properties of the sponges relevant to pressure loss, such as window diameter, strut diameter, porosity and specific surface area, were determined.
Experimentelle Daten zur Zweiphasenströmung von gesättigtem CO2 in einem horizontalen zylindrischen Rohr (Durchmesser 14 mm) mit integrierten Metallschwämmen (offenzellige Metallschäume) unter adiabaten sowie diabaten Bedingungen werden vorgestellt. Außerdem wurde der Druckverlust bei einphasiger Durchströmung derselben Schwämme untersucht. Die nominelle Zelldichte der Schwämme beträgt 10 ppi („Poren pro Zoll“) bzw. 20 ppi. Der Massen-strom wurde von 25 kg/(m²s) bis 150 kg/(m²s) variiert und im Falle einer Zweiphasen¬strömung ebenfalls der Strömungsdampfgehalt (von 0,1 bis 1). Der Sättigungsdruck betrug entweder 12 bar oder 26,5 bar. Die mit Schwämmen gefüllte Länge stromaufwärts der Messstrecke variierte zwischen 12 mm und 210 mm bei 10 ppi Schwämmen und betrug 109 mm bei 20 ppi Schwämmen. Zusätzlich wurden die für den Druckverlust relevanten geometrische Eigenschaften der Schwämme, nämlich der Fensterdurchmesser, der Steg¬durchmesser, die Porosität und die spezifische Oberfläche, bestimmt.
Pressure drop data of two-phase flow in a horizontal tube filled with metal sponge
Processed micro-tomographic scan of the ant Acanthoponera sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data set comprises N2O (nitrous ocide) data of the Earth's upper troposphere and middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, N2O_61), RR-NOM (2005 - 2012, N2O_261), RR-UTLS-1 (2005 - 2007, N2O_161), RR-MA (2005 - 2012, N2O_561 & N2O_562), and RR-UA (2005-2012, N2O_662) are covered. Data versions N2O_161, N2O_261, and N2O_561 are compatible and could be used together. The same holds for data versions N2O_562 and N2O_662. The data is based on version V8 infrared spectra.
MIPAS Envisat upper troposphere middle atmosphere stratosphere mesosphere UTLS nitrous oxide N2O
IMK/IAA MIPAS retrievals version 8: N2O, the data set
Processed micro-tomographic scan of the ant Lasius umbratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis bombycina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Readme Auxiliary code for `DUNE-dipole-code.tar.xz`
Institut für Angewandte Materialien - Werkstoff- und Biomechanik, Werkstoff- und Grenzflächenmechanik
Raw data to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys" The data sets are labelled according to the figures in the manuscript. A2 labels correspond to 32.33Mo-32.33Cr-32.33Ti-3Al (at.%) and B2 labels to 28.33Mo-28.33Cr-28.33Ti-15Al (at.%). x denotes the Al content. Std. denotes standard deviations or conservative error estimates. Tl denotes liquidus temperature, Ts solidus temperature and Tc the ordering temperature. E_Ind is the indentation modulus, E is the Young's modulus. nH is nanohardness, HV is Vickers hardness. Labels with "SR0.05", "SR0.007" and "SR0.001" denote the strain rates of nanohardness testing according to the experimental description in the manuscript. m is the strain rate sensitivity. Rp0.2 is the offset yield strength.
Raw Data to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys"
Processed micro-tomographic scan of the ant Polyrhachis moesta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Phonon transmission through a nonlocal metamaterial slab
Processed micro-tomographic scan of the ant Octostruma iheringi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys sp mandibularis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code facilitates the automated monitoring and tuning of a microfluidic flow reactor using data provided by a benchtop NMR spectrometer. See the README.md provided with the code for more details.
Software used in: "Towards Precision Biocatalysis - Leveraging Inline NMR for Autonomous Experimentation in Flow Reactors"
This experiment offers the possibility to simulate the extended sinoatrial node cell models of Severi et al. (2012) and Fabbri et al. (2017) with several [Ca2+]o and [ISO]. The extension of the AC-cAMP-PKA signalling cascade is based on the work of Behar et al. (2016) and described by Linder et al. (2025).
Sympathetic Stimulation Can Compensate for Hypocalcaemia-Induced Bradycardia in Human and Rabbit Sinoatrial Node Cells (v2.0)
# ICON simulation of Saharan dust event over Central Europe on 2021-03-03 Document date: 2023-03-29 Corresponding Author: Name: Kilian Hermes Email: kilian.hermes@mail.de Address: Institute for Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom License: CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en DOI: https://doi.org/110.5445/IR/1000157325 --------------------------------------------- ## Summary This dataset consists of simulations with the general circulation model ICON for the Saharan dust event over Europe on 03 March 2021. Simulations were performed with prognostic aerosol (icon_art) and without prognostic aerosol (icon). Fields of common atmospheric variables are provided on the native icosahedric ICON grid, and with 3h time spacing. Meteogram-style data for specific locations is provided with 1h time spacing. - v1 of this data release. --------------------------------------------- ## Model information Model version: pre-operational (icon_art) and operational (icon), as of March 2021 Initialization: daily at 00 UTC Grid: R02B07_N02 (no. 51) Coordinates: native ICON grid, cell coordinates in grid descriptor file --------------------------------------------- ## Files and Folders simulations with prognostic aerosol: ./icon_art/fields/iefff00120000.nc ./icon_art/fields/iefff00090000.nc ./icon_art/fields/iefff00000000.nc ./icon_art/fields/iefff01030000.nc ./icon_art/fields/iefff00030000.nc ./icon_art/fields/iefff00060000.nc ./icon_art/fields/iefff00150000.nc ./icon_art/fields/iefff00210000.nc ./icon_art/fields/iefff00180000.nc ./icon_art/fields/iefff01000000.nc ./icon_art/meteograms/meteogram.icon-eu.h.dust.2021030300.exp_10517.nc ./icon_art/meteograms/meteogram.icon-eu.h.dust.2021030400.exp_10517.nc ./icon_art/meteograms/meteogram.icon-eu.h.dust.2021030200.exp_10517.nc simulations without prognostic aerosol: ./icon/fields/iefff00120000.nc ./icon/fields/iefff00090000.nc ./icon/fields/iefff00000000.nc ./icon/fields/iefff01030000.nc ./icon/fields/iefff00030000.nc ./icon/fields/iefff00060000.nc ./icon/fields/iefff00150000.nc ./icon/fields/iefff00210000.nc ./icon/fields/iefff00180000.nc ./icon/fields/iefff01000000.nc ./icon/meteograms/meteogram.icon-eu.h.2021030400.exp_10530.nc ./icon/meteograms/meteogram.icon-eu.h.2021030300.exp_10530.nc ./icon/meteograms/meteogram.icon-eu.h.2021030200.exp_10530.nc grid descripton: ./icon_grid_0051_R02B07_N02.nc height levels: ./HHL_nest.nc ---------------------------------------------
Research data "Impact of Saharan dust outbreaks on short-range weather forecast errors in Europe"
On iterative pre-compensation of 3D laser-printed micro-optical components using confocal-optical microscopy - Data
Processed micro-tomographic scan of the ant Diacamma rugosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Buniapone amblyops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset shows the development of 82 surface defects (pits) over the operating time of Ball Screw Drives. The name of the images is structured as follows: XX_XX_YYMMDDHHMMSS_XX_XX. Here X is some identifier, which is not important in this context. The dataset is especially suited to investigate the development of surface defects on ball screw drive spindles. The dataset mainly addresses the machine learning research community for engineering and computer science to build intelligent models for surface defect detection and forecasting in the context of prognostics and health management (PHM). Each folder consists the evolution of one pit.
Evolution of Surface Defects on Ball Screw Drive Spindles for intelligent Prognostics and Health Management Systems
Processed micro-tomographic scan of the ant Dorymyrmex goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rasopone arhuaca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The TEM data are acquired and analyzed using Velox software. These images are also exported to png so that it can be opened without any specialized software. The image stacks can be opened with Fiji. The data is sorted according to which figure the it is shown in.
Data: Strong-coupling superconductivity near Gross-Neveu quantum criticality in Dirac systems
Processed micro-tomographic scan of the ant Strumigenys crassicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Results of inconsistency investigation with Daedalus GmbH.
# General Because the interviews were conducted with a German precision contract manufacturer, namely Daedalus GmbH from Karlsruhe, the interviews and interview results are in German. As this is our replication package, we decided to keep the raw data and thus the German artifacts. # Structure The reproduction material is structured in folders. ## workflows The workflows found in the contract manufacturing process at Daedalus GmbH, assessed with prior interviews. - big_picture_workflow: overview over the main process, referencing the other workflows as well as production and external services including manufacturing and quality assurance - quoting_workflow: overview over sales and quoting with quote creation and pricing - production_planning_workflow: overview over the production planning with production paths and lots, as well as needs and procurement - programming_workflow: overview over the programming workflow ## pre-study The pre-study we conducted to assess the quality of our interview questionnaires. ## interviews The interviews conducted. ## inconsistencies The inconsistencies found during the interviews, modeled with BPMN 2.0 and our proposed modeling method, escalation events. ## system usability scale The system usability scale we used to assess the usability of our modeling approach.
Interview Results, Production Workflows, Inconsistencies in Production Workflows
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V1 (videos)
Geophysical Institute (GPI), Karlsruhe Institute of Technology (KIT), Germany; Now at: Bodenmechanisches Labor Gumm, Büro Rhein/Main, Germany
This dataset contains shear wave splitting measurements (SWSMs) on SKS and SKKS phases at the permanent broadband seismological recording station Black Forest Observatory (BFO), Germany. Splitting parameters (fast polarization direction and delay time) were obtained with the MATLAB package SplitLab (Wüstefeld et al. 2008) simultaneously applying the rotation-correlation method (Bowman & Ando 1987) and the energy minimization method (Silver & Chan 1991). Only single-event analysis SWSMs of good and fair qualities are reported. Information of the used earthquakes are included. CSV as well as PDF files are provided. Details can be found in the README. The dataset is related to the publication Ritter et al. (2022), J Seismol, https://doi.org/10.1007/s10950-022-10112-w, https://doi.org/10.1007/s10950-023-10136-w.
elastic anisotropy, seismic anisotropy, shear wave splitting, seismology, geophysics
Longterm Shear Wave Splitting Measurements at the Black Forest Observatory
Processed micro-tomographic scan of the ant Aenictus ceylonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to run the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" to compile the files. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Skript plot_figures.m. Note that running the C++ Code will take quite long, since it runs all calculations for all figures.
This code was used for the numerical experiments in the preprint (CRC Preprint 2020/20; URL: http://www.waves.kit.edu/downloads/CRC1173_Preprint_2020-20.pdf) and in the paper "An implicit-explicit time discretization scheme for second-order semilinear wave equations with application to dynamic boundary conditions" by M. Hochbruck and J. Leibold (cf. Section 4.5)
Numerical experiments to "An implicit-explicit time discretization scheme for second-order semilinear wave equations with application to dynamic boundary conditions"
In the frame of the PRESLHY project more than 200 hydrogen blow-down experiments were made with the DisCha-facility at KIT and about half of the experiments were made at cryogenic temperatures (approx. 80 K). During the experimental campaign the facility was continuously improved and extended, since several problems with the facility and instrumentation were encountered. However, the tests showed very good reproducibility. Although the actual exploitation of the data is left for the further modelling work in the work packages WP3 and WP4, some interesting observations are: not a single test showed a spontaneous ignition, although the cold jets generated relative strong electrostatic fields. This static electricity seems to be generated by ice crystal which form on the release nozzle before the tests. The cold tests with large diameter and high pressure show strong temperature decay in the reservoir close to the boiling point of hydrogen and quite a huge fraction of “particles” entrained in the released jet were recorded. It is assumed that this is ice from ambient humidity and frozen on the nozzle before the actual test. However, there might be condensed hydrogen involved, as the acceleration of the gas through the nozzle might bring down the temperature below the boiling point. Only detailed multi-phase simulations accounting for non-equilibrium effects of the real gases’ behaviour might clarify this issue.
Result dataset files in Excel format of the sub-set of experiments with most mature measurement set-up. Data for all initial pressure levels, but same temperature (tt=80K/300K) and same nozzle diameter (mm=05/1/2/4mm) packed in zip file, named PRE3P1A_KIT_Dmm_ttK_DATA.zip
PRESLHY Experiment series E3.1 (Cryogenic Hydrogen Blow-down/Discharge) results – part A "high pressure"
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, solid ammonium nitrate) in the Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim campaign with basis in Kathmandu, Nepal, on board the high altitude research aircraft Geophysica, 2017.
Processed micro-tomographic scan of the ant Hagensia havilandi marleyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
High field magnetic resonance of nuclear spins is normally carried out at or near the Larmor frequency $\Omega_0$. Here, we report the first observation of nonsecular nuclear spin resonances far off $\Omega_0$. These originate from nonsecular terms of the nuclear spin-spin interaction and provide new means for the control of coupled two level systems. In systems of equivalent nuclear spins, nonsecular resonances were predicted to lead to anomalous, fast relaxation of the nuclear spin polarization. We report experimental results that are in excellent agreement with the predicted behaviour.
This repository pertains to "Nuclear magnetic resonance far off the Larmor frequency - nonsecular resonances in CaF2" (accepted for publication at Phys. Rev. B) and contains: - the experimental data (subfolder "topspindata"), - jupyter notebooks containing the analysis of the data for the three orientations (240222-FFC_KS2_CaF2_111_Nutations.ipynb,....), and - calculations regarding the theoretically expected NSR relaxation (latticeSumsCGS.ipynb,NSR_coeff.ipynb). To run the notebooks you will need python (we used python 3), some software to run jupyter notebooks and pyNMR as well as spindata packages. Note that we are using storemagic to transfer data between notebooks.
Data set to: Nuclear magnetic resonance far off the Larmor frequency - nonsecular resonances in CaF$_2$
Processed micro-tomographic scan of the ant Anochetus risii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0017, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0017 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
"Konditionsdiagnose im Fußball"in Leistungssport, 20,(1990), 4 , S. 23-28In mehreren fuer das Fussballspiel relevanten konditionellen Einflussgroessen sind hochklassige Fussballspieler Leichtathleten, die sich mit ihren Leistungen kaum fuer Bezirksmeisterschaften qualifizieren koennten, unterlegen. Bemerkenswert ist, dass Sprint- und Sprungfaehigkeiten selbst in den beiden hoechsten Spielklassen relativ schwach ausgebildet sind. Erhebliche Maengel sind ebenso in allen Bereichen der Muskeldehnfaehigkeit festzustellen, was sich nicht nur allgemein mindernd z.B. auf Sprint- und Sprungleistungen auswirkt, sondern die Verletzungswahrscheinlichkeit z.T. drastisch erhoeht.
Adaptation of cell spreading to varying fibronectin densities and topographies is facilitated by β1 integrins
Neural network developed to segment ants from tomographic datasets acquired within the Antscan initiative (https://www.antscan.info), detailed in Katzke et al. 2025. This trained network is intended to be reused or retrained within the Biomedisa deep learning framework (https://github.com/biomedisa/).
Neural network for segmentation of ant tomograms
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.5
This archive contains the evaluation for "Formal Specification and Verification for Automated Production Systems". In particular, you find evaluation environments for Chapter 7 (Evaluation (PART I - Generalized Test Tables)), 10 (Relational Test Tables), 11 (Provably Forgetting of Information), and 12 (Modular Regression Verification). For more details, refer to the READMEs of the individual sub-folders.
-------------------------------------------------------------------------------- Formal Specification and Verification for Automated Production Systems Alexander Weigl COMPANTION MATERIAL -------------------------------------------------------------------------------- This bundle contains companion material for the PhD thesis "Formal Specification and Verification for Automated Production Systems". In particular you find following items: 1. Files of the evaluation of the chapters: * Chapter 07: Evaluation (PART I - Generalized Test Tables) * Chapter 10: Relational Test Tables * Chapter 11: Provably Forgetting of Information * Chapter 12: Modular Regression Verification Runtime artefacts and log files are included. Further details are given in the `README.md` files of the sub-directories. 2. Software for the evaluation * `verifaps-lib`: the developed library for the verification of automated production systems (GPL v3) * `eldarica`: used for verification of C files (BSD 3-clause license) * `ic3ia`: used for the of VMT files (generated by `nuXmv`) (GPL v3) Not included and required for some experiments are * [`nuXmv`](https://nuxmv.fbk.eu) (Version: 1.1.1, and 2.0.0), model checker, not included due to license restrictions. * [`SeaHorn`](https://seahorn.github.io/), C program verifier, not included due to its large space size `SeaHorn` can be easly obtained by Docker or Podman: ``` $ podman run -ti seahorn/seahorn-llvm10:nightly ```
Companion Material for the PhD thesis "Formal Specification and Verification for Automated Production Systems"
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0004, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0004 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Syllophopsis sechellensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus inermis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Polymer pyrolysis has emerged as a simple and versatile method to synthesize graphenoid (graphene like) materials with varying thickness and properties. The morphology of the thin film, especially the thickness, greatly affects the graphitizability (ability to from ordered graphene/ graphite) and thus the properties of the resulting graphenoid material. Using in situ current annealing inside a transmission electron microscope (TEM), we followed the thickness-dependent structural evolution of the polymer film with a special focus on thickness effects. Up to intermediate temperatures, the structural evolution during current annealing is similar to the evolution during thermal annealing of the thin films. At higher temperatures, thin samples form large graphene layers oriented parallel to the substrate, whereas in thick samples multi-walled cage-like structures are formed. MD simulations reveal a critical film thickness of 40 Å below which, the carbonized layers align parallel to the surface. For thicker samples, the orientation of the layers becomes increasingly misoriented starting from the surface to the center. This structural change can be attributed to the formation of bonded multi-layers from the initially unsaturated activated edges. The resulting cage-like structures are stable even during simulated annealing at temperatures as high as 3500 K. An atomistic understanding of the formation of these structures is presented. The results clearly indicate the critical effect of thickness on graphitizability of polymers and provide a new understanding of the structural evolution during pyrolysis.
Information on the data formats provided in the individual subdirectories
Graphitizability of polymer thin films: an in situ TEM study of thickness effects on nanocrystalline graphene/glassy carbon formation
1. Regression coefficients of a parametrisation of the natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO2, CH3CL, HNO3, N2O5, CCl4, CFC11, CFC113, CFC12, CH4, ClO, ClONO2, CO, CO2, H2O, HBr, HCl, HF, HNO4, HO2, HOBr, HOCl, N2O, NO, NO2, NO3, O3, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project. 2. Software for reparametrisation of natural atmospheric variability on latitudinal gradients. The software takes as input the species name (among 30 available), the distance and time mismatch chosen, the latitude band, the value of latitudinal gradients of user's data and the height. As an output the user obtains a value of the natural variability of the gas at altitude and latitude band given, for the chosen distance/time mismatch.
Regression coefficients archive: The name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given from 90S to 90N in 18 latitude bands of 10 degree width, and for 46 altitudes from 15 to 60 km. Reparametrisation software archive: This is an IDL source code, and auxiliary data are in idlsave format. If a validation study is perfomed in latitude domain larger than 10 degrees, the values in correspoding 10-degree bands should be added quadratically.
Regression Coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software
Inkjet-printed tungsten oxide memristor displaying non-volatile memory and neuromorphic properties
Bundesministerium für Digitales und Verkehr
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2013 - 2022
Physikalisch-Meteorologisches Observatorium Davos and World Radiation Center, Davos, Switzerland
Finish Meteorological Institute FMI, Helsinki, Finland
Karlsruhe Institute of Technology, Karlsruhe, Germany
High Altitude Observatory, National Center for Atmospheric Research NCAR, Boulder, US
Karlsruher Institut für Technologie, IMKASF
Post-processed model results from the composition-climate models EMAC, HAMMONIA, KASIMA, WACCM-D and WACCM-X as used in Figures 2, 3, 4, 5, 6, and 7 as well as Supplementary Figures 1, 2, 3 and 4 of Sinnhuber et al., ACP, 2025 (preprint: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2256/egusphere-2024-2256.pdf). Descriptions of the models and their setups used here are also found in Sinnhuber et al., 2025.
Chemistry-climate model results of EMAC, HAMMONIA, KASIMA, WACCM-D and WACCM-X for intercomparison of thermospheric NO and its formation and loss mechanism
1 Inverse vulcanization of styrylsilanes.zip
Processed micro-tomographic scan of the ant Pogonomyrmex schmitti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw ACOM data, raw STEM and (HR)TEM images
Raw Data and images for publication Haug et al, November 2019
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0044, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0044 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Vitsika brevis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V1 (videos)
The data uses the separator "None". It is the original data set which was downloaded at netztransparenz.de. Be careful that the data uses German encoding ("utf-8", "ISO-8859-1") as well as German date format (dd/mm/yyyy). The data set has the following columns (original name / english translation): - BEGINN_DATUM (Starting Date) - BEGINN_UHRZEIT (Starting daytime) - ENDE_DATUM (Ending date) - ENDE_UHRZEIT (Ending daytime) - NETZREGION (grid region) - GRUND_DER_MASSNAHME (Reason for redispatch) - RICHTUNG (direction of redispatch) - MITTLERE_LEISTUNG_MW (mean power in MW) - GESAMTE_ARBEIT (total power over time in MWh) - ANWEISENDER_UENB (requesting TSO) - BETROFFENE_ANLAGE (affected generation unit) - Redispatch_KW (redispatched generation unit)
Redispatch is used very frequently to cure congestion in the German grid. It describes the action of shutting down generation in front of a transmission grid congestion and ramping up generation behind the congestion. It is therefore of great importance to examine why redispatch is used and which patterns exist in the use of redispatch by certain grid operators. The published data is provided publicly by the German TSOs. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
Processed micro-tomographic scan of the ant Temnothorax curvispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The library enables the modeling of hydraulic networks in Modelica development environments. For this purpose, the library contains models with DIN ISO 1219-like representations for hydraulic components. These can be parameterized and linked to other hydraulic components. A link to components from other Modelica libraries allows for the holistic creation of mechanical-hydraulic and electro-hydraulic systems. The pressure build-up can be dynamically simulated by solving the pressure build-up equations stored in hydraulic nodes. Using the Functional Mock-up Interface (FMI), the hydraulic model created with this library can be coupled with models created in other simulation environments and a co-simulation can be performed.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 7)
This data was generated using the software developed by (Stamer 2022), doi: 10.5281/zenodo.6468683
Experiment data for the application of actor critic reinforcement learning for dynamic pricing in production
Processed micro-tomographic scan of the ant Leptogenys cf binghamii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus albosparsus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Zasphinctus sarowiwai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca ovaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma immanis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code is the basis of the publication "Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany" to be published in Natural Hazards and Earth System Sciences. The scripts range from identifying events with fixed or varying durations to the identification of the degree of clustering as well as cluster periods.
Prerequisites: Daily timeseries of (impact) data. 1_event_identification: Allows to identify distinct events from daily resolved timeseries. 2_precipitation_categorization and 2_wind_categorization: Allows to create distinct meteorological categories from generalized "flood" or "wind" impact data (large-scale storms, convective gusts, stratiform precipitation, mixed precipitation, and convective precipitation). 3_combination_hazards: Allows to decluster hazards so no artificial clusters on the scale of days are created 4_RipleyK and 4_counting: Allow to assess the degree of clustering vs. the number and timing of clusters, respectively
Code for Küpfer et al. 2025 (NHESS): Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany
The fog and low stratus formation and dissipation data set consists of yearly netcdf files. The data set covers the Namib desert, over the years 2004-2018. The projection is WGS 84. The following data variables are contained in the data set: diss_time: Dissipation time as timestamp for up to 5 events per day. diss_dur_time: Dissipation duration time for up to 5 events per day. form_time: Formation time as timestamp for up to 5 events per day. form_dur_time: Formation duration time for up to 5 events per day.
EP: Funding from the German States (Landesgraduiertenförderung (LGF)) - (scholarship)
fog, low stratus, fog formation, fog dissipation, Namib desert, SEVIRI
Satellite-based fog and low stratus cloud formation and dissipation time data set over the Namib Desert
Processed micro-tomographic scan of the ant Pogonomyrmex barbatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
FACILE-RS: archival and long term preservation of research software repositories made easy
Data from CORONA campaign taking place from 2021-03-25 - 2021-05-02 at KIT Campus North. This dataset represents the processes data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Raw Data behind publication "Waviness Affects Friction and Abrasive Wear"
Raw Data to Publication in Tribology Letters "Waviness Affects Friction and Abrasive Wear"
Processed micro-tomographic scan of the ant Nylanderia okm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
YiChen_Experimental Observation of Roton-Like Dispersion Relations in Metamaterials
Solvent-independent 3D printing of organogels
Raw Data to the publication "Dislocation-mediated and twinning-induced plasticity of CoCrFeMnNi in varying tribological loading scenarios"
Processed micro-tomographic scan of the ant Nesomyrmex tamatavensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data sets comprise hourly congestion data of the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most from congestion in their grids (96 % of German transmission grid congestion appears here). While other German TSOs do not publish their respective congestion data, 50 Hertz GmbH provides hourly values. We transformed the data from categorical and numerical information into binary variables to provide an easier starting point for further analysis. Check the "Read me" section for further information. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
The data is available for the time of 1/1/2015 until 12/31/2017 for 200 lines, which were in operation during this time. There are two different data sets, which were transformed differently to provide different possibilities for further exploration. Data set "lineloaddata50percentthreshold" has the following binary encoding: - 0 - lines having a load of up to 50 % or below of their thermal capacity limit - 1 - lines having a load of more than 50 % of their thermal capacity limit - NaN - no data available Data set "lindloaddata_70percentthreshold": - 0 - lines having a load of up to 70 % or below of their thermal capacity limit - 1 - lines having a load of more than 70 % of their thermal capacity limit - NaN - no data available The date format is (mm/dd/yyyy). Please be aware of this while reading in the data. The used separator is ',' (.csv). Every transmission line has a distinct column comprising its binary information about its congestion state as explained before. The line / column names are identical to the coding of line names 50 Hertz GmbH uses.
Congestion data TSO 50 Hertz Germany 2015-2017 (binary)
Processed micro-tomographic scan of the ant Lasius orientalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The freezing process of a supercooled water droplet freely falling through air is a remarkably dynamic and eventful process. During freezing from the outside in, the volume increase of liquid water upon solidification leads to a pressure rise inside the droplet. The pressure is released in various ways, e.g. by cracking or by complete fragmentation of the ice shell. These processes may be the source of secondary ice particles that are emitted during droplet freezing. In this study, the surface temperature of freezing drizzle-sized water droplets was measured with a high-resolution infrared thermography system, while recording the changes in shape and structure of the droplet by a high-speed video camera. The droplets were levitated in an electrodynamic trap under controlled conditions with respect to temperature, humidity and airflow velocity. Measurement of the surface temperature during freezing allowed for determination of the absolute pressure inside the liquid core. During the freezing of a droplet the pressure rise is interrupted many times by rapid pressure release events, each being a possible source of secondary ice. Pressure release events were three times more frequent for droplets freezing under free-fall conditions compared to droplets freezing in stagnant air. Naturally occurring sea salt content (< 100 mg/L) does not inhibit the pressure buildup inside freezing drizzle droplets.
Numerical data for all the figures in the related paper. The format of the .csv files is described within the .csv-files. The format for the .json-file is described in a separate text file "comment_on_data_figure_6_all_json_file.txt". The videos are described in "Video captions IR Paper.pdf"
Supplementary data for J. Kleinheins et al. "Thermal imaging of freezing drizzle droplets: pressure release events as a source of secondary ice particles", Journal of the Atmospheric Sciences 2021
Processed micro-tomographic scan of the ant Anochetus katonae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera nippona, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
DIVAID is an open pipeline that divides atrial geometries into clinically important regions according to previously proposed definitions.
Processed micro-tomographic scan of the ant Diacamma indica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
(Technical Remarks) This data set contains experimental data of the publication "Tailings as a Source for Generating valuable Magnesium and Calcium Carbonates by Leaching and Carbonization" in ChemRxiv (DOI: 10.26434/chemrxiv-2025-cjxfm). The laboratory setup as well as the used materials for data generation are described in detail within the paper. The .csv-files provide the raw data for each diagram and in the origin file are all diagrams with the fit functions.
Mining produces a lot of disposable mineral waste after the ore has been removed. This waste with added CO$_2$ can be used as a feedstock for carbonate production. The advantage of this production process would be the recycling of a waste product with additional carbon capture. However, the processing challenge is a feed with a fluctuating composition of the mining waste, which makes classical engineering and control with fixed process parameters difficult. For characterization, model particles and tailings are studied for their behavior with fluctuating acid and mass concentrations as a function of leaching time. The results confirm the possibility of leaching calcium (max 7g L$^{-1}$) and magnesium (max 0.7 g L$^{-1}$) using hydrochloric acid. The amount varies depending on the particle, concentration and pH. Mathematically, the leaching over time can be described by an exponential expression, which is applied to both investigated cases for the leaching of calcium and magnesium ions. Finally, a pH shift process is used to precipitate solid CaCO$_3$ from the ion-enriched solution obtained, thus demonstrating the successful production of CaCO$_3$ and carbon capture from mine waste.
Experimental data of tailings as a source for generating valuable magnesium and calcium carbonates by leaching and carbonization
This dataset consists of 79 dialogs between a human user and a chatbot in English language. This data was collected during an online experiment conducted by the research group "Information Systems & Service Design" at the Karlsruhe Institute of Technology (KIT). Experimental task: Participants were asked to interact with a chatbot to find out whether they could save money by switching to a better mobile phone plan. Additionally, there were shown a fictitious copy of last month's mobile phone bill. During the conversation, the chatbot asked about the participant's usage patterns (e.g., how much data was used) and recommended a randomly generated plan that better met the participant’s requirements. For more information, see Gnewuch et al. (2018). If you have any questions, please contact us via email (info@chatbotresearch.com) or visit https://chatbotresearch.com. WARNING! Some dialogs contain profanity and/or offensive language. Profanity was not removed because it is important for calculating sentiment scores. PUBLICATIONS / REFERENCES Gnewuch, U., Morana, S., Adam, M. T. P., and Maedche, A. 2018. “Faster Is Not Always Better: Understanding the Effect of Dynamic Response Delays in Human-Chatbot Interaction,” in Proceedings of the 26th European Conference on Information Systems (ECIS 2018), Portsmouth, United Kingdom. Feine, J., Morana, S., and Gnewuch, U. 2019. “Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis,” in Proceedings of the 14th International Conference on Wirtschaftsinformatik (WI 2019), Siegen, Germany, February 24–27.
ExpBot - A dataset of 79 dialogs with an experimental customer service chatbot
DAMAST-KIT-N1: Geophysical Borehole Logging Data
This code is used for the numerical experiments in Section 6 of the preprint >"Full discretization error analysis of semilinear wave equations with exponential integrators" by Benjamin Dörich and Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to compile the program, open a terminal session in this folder and call cmake -DDEAL_II_DIR=/path/to/deal.II . Next, call make release ; make to compile the files. Finally, run the program with make run This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script plot_figures.m An updated version of this dataset can be found at https://doi.org/10.5445/IR/1000141073
Numerical experiments to "Full discretization error analysis of semilinear wave equations with exponential integrators"
Werkstoffkunde, Karlsruhe Nano Micro Facility
Scanning electron microscopy images are provided as tif files named according to the figure number in the manuscript. Short notations highlighting the sample condition are added. Additional micrographs not presented in the manuscript are highlighted by "-add". All micrographs are taken with backscattered electron contrast. Orientation imaging microscopy data by electron backscatter diffraction is provided in the form of jpg files of inverse pole figure color coded maps (for both phases BCC and C14). The legends of the inverse pole figure maps are added as well. The images are 40 x 40 µm² with 0.1 µm step size. Additionally, image quality maps were added. Number data is provided as ASCII files with tabulator separation. Files including multiple sample conditions contain columns with “condition” designation.
Raw Data to "Microstructure and mechanical properties of a precipitation-strengthened Fe-Al-Nb alloy"
Processed micro-tomographic scan of the ant Ectatomma ruidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Electrode Droplet Microarray (eDMA): an impedance platform for label-free parallel monitoring of cellular drug response in nanoliter droplets
Processed micro-tomographic scan of the ant Camponotus yambaru, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der vorliegende Bericht bezieht sich auf die im Oktober 2019 an der KIT-Fakultät für Maschinenbau des Karlsruher Instituts für Technologie eingereichte und im Dezember 2020 angenommene Dissertationsschrift »Neue Methodik zur Optimierung von Druckverfahren für die Herstellung funktionaler Mikrostrukturen und hybrider elektronischer Schaltungen« von Martin Ungerer. Der Bericht umfasst zusätzliche Daten zur Dissertationsschrift und beinhaltet ergänzende Erläuterungen zu Methoden, Prozessen, Materialien, Systemen und Ergebnissen.
Methoden, Materialien und Ergebnisse der Entwicklung funktionaler Druckprozesse. Zusätzliche Daten zur Dissertation "Neue Methodik zur Optimierung von Druckverfahren für die Herstellung funktionaler Mikrostrukturen und hybrider elektronischer Schaltungen"
Processed micro-tomographic scan of the ant Xerolitor explicatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data for figures 2 and 3 of the publication: "On suitability of phase-field and algebraic volume-of-fluid OpenFOAM® solvers for gas-liquid microfluidic applications" in the OriginPro Data format.
Diese Datei im dwg-Format enthält 3D-Modelle für drei zentrale Bestandteile des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD": 1) Das Probengestell für 160 Septum-versiegelte Labco Exetainer Glasfläschchen, 2) die Halterung für die Doppelkanüle und 3) das Verbindungselement zwischen dem Servo für die Bewegungen in Z-Richtung und dem Schlitten für Bewegungen in Y-Richtung.
These files contain the data used for the preprint "The effect of spanwise heterogeneous surfaces on mixed convection in turbulent channels" by K. Schäfer, B. Frohnapfel and J. P. Mellado. The dataset contains the global quantities, 1d- and 2d profiles of all simulations in separate files. The python scripts "plot_global.py", "plot_1d_profiles.py" and "plot_2d_profiles.py" illustrate how to read the datasets and how to plot selected figures from the paper. References: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Kay Schäfer
Dataset for "The effect of spanwise heterogeneous surfaces on mixed convection in turbulent channels"
Processed micro-tomographic scan of the ant Aphaenogaster exasperata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Wirtschaftsinformatik und Marketing
This dataset contains all calculated eye-based features and cognitive state labels collected during an experience sampling study with eye tracking data. The analysis scripts to develop cognitive state models are also included.
Cognitive State Detection with Eye Tracking in the Field: An Experience Sampling Study and its Lessons Learned - Dataset & Analysis Script
PaRandShimDB v1 is part of the NMR magnet shimming database ShimDB (https://github.com/mobecks/ShimDB) and contains 8799 instances in four subsets. Data is acquired on a preclinical 650MHz magnetic resonance imaging (MRI) device (Bruker BioSpin, Ettlingen, Germany, www.bruker.com) using a custom parallel spectroscopy probehead with two channels and two 50%vv H2O/D2O samples. Each folder in PaRandShimDB v1 contains the binary processed NMR spectra of the two channels (pdata/2/), the local shim values (localshims.txt), and the raw data (rawdata.job0). For a detailed description, please refer to the referenced manuscript, or https://github.com/mobecks/ShimDB.
PaRandShimDB v1 (2 channels): A subset of the NMR magnet shimming database ShimDB
The hetero-aggregation of carbon black and colloidal silica in a spray flame is a promising approach to improve dispersibility and stability of carbon black. The mixing quality, i.e. homogeneity of local concentrations within the hetero-aggregate, is important for both properties, yet challenging to quantify. For this purpose, multiple TEM-EDX (Transmission Electron Microscopy with Energy Dispersive X-Ray Spectroscopy) scans are conducted on two distinct process conditions, leading to hetero-aggregates two different mixing qualities. By sampling cutouts of the images at randomized locations and applying principles adapted from classical mixing theory, hetero-aggregates are characterized with respect to mixing quality, irrespective of composition and primary particle size, Furthermore, correlation coefficient functions give insight to the length scale of primary particle clusters in the hetero-aggregates. In addition, on the basis of the \textit{intra-aggregate} mixing state and the distribution of hetero-aggregate composition, a suitable description of the \textit{inter-aggregate} mixing state is achieved. The developed methods present a generally valid, precise characterization of the mixing quality of hetero-aggregates. This data includes the original TEM-EDX data as well as the segmented images.
The zipped folders include the original TEM-EDX data in the .bcf format as well as the segmented images of isolated C and Si signals in .png format. The images can be matched with each others according to their filename.
Assessing the Mixing Quality of Hetero-Aggregates: Applying Mixing Theory to TEM Image Data - TEM-EDX data
Eine ländervergleichende Studie unter besonderer Berücksichtigung der räumlichen und sozialen Herkunft
Das Ziel dieser Studie war, die motorische Fitness einer ausgewählten Gruppe kenianischer Kinder und Jugendlicher zu untersuchen und die Ergebnisse mit den derzeit verfügbaren Daten über die motorische Fitness deutscher Kinder im gleichen Alter zu vergleichen. Die Daten wurden an drei verschiedenen Schulen in Nairobi und Umgebung erhoben, darunter eine Privatschule und Schulen in ländlicher Umgebung. Ein weiterer Vergleich wurde zwischen den Ergebnissen der Kinder aus diesen drei Einrichtungen in Kenia vorgenommen. Für Deutschland wurde dies nicht erfasst. Die Vergleichsdaten in Deutschland stammten aus der Motorik-Modul-Studie zur körperlichen Fitness und körperlichen Aktivität bei deutschen Kindern und Jugendlichen (Woll, A., Kurth, B. M., Opper, E., Worth, A. & Bös, K. 2011).
Die motorische Leistungsfähigkeit von deutschen und kenianischen Kindern im Alter von 10 Jahren
Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
Data of the article "Intercropping Legumes Improves Long Term Productivity and Soil Carbon and Nitrogen Stocks in Sub-Saharan Africa"
Data: Intercropping Legumes Improves Long Term Productivity and Soil Carbon and Nitrogen Stocks in Sub-Saharan Africa
Processed micro-tomographic scan of the ant Strumigenys hispida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Three .xlsx-files are provided. Each file consists of multiple worksheets that contain daily pollutant concentrations, whereby the corresponding date is indicated by the worksheet title in DD-MM-YYYY format. No post-processing of the data has been performed. Note that few individual readings of the UFP-concentration may be affected by measurement artifacts (unplausibly high or negative concentrations) and should be discarded. "UFP-Wind-Data" contains 15-minute average UFP-concentrations and wind data (wind speed and direction) for the measurement period ranging from Nov. 20, 2024 until Mar. 30, 2025. Note that the wind data is only an indicative measurement close to the ground and may be influenced by the local building geometry. "PM2_5-Data" contains 15-minute average PM2.5-concentrations for the measurement period ranging from Nov. 20, 2024 until Mar. 30, 2025. "Examples_Aerosol_Dispersion" contains 1-minute average UFP-concentrations and wind data (wind speed and direction) for two exemplary events with increased concentration levels during the measurement period. Stationary temperature inversions ranging from Feb. 08, 2025 - Feb. 13, 2025 and the effect of New-Year's fireworks. timestamp = Time (CET) respectively UTC+1; E.g. 23:15:00 CET corresponds to 00:15:00 AM local time in Germany and contains the 15-minute average data ranging from 00:00:00 AM up 00:15:00 AM. aerosol_cn = Total particle number concentration (UFP) measured by the AQ Guard Smart 2000; Unit: 1/cm³ weather_wind_speed = Local wind speed; Unit: km/h weather_wind_direction = Local wind direction; Unit: ° pm2_5 = Particle concentration of the PM2.5 fraction measured by the Fidas Smart 100; Unit: µg/m³
The concentration of ultrafine particles (UFP) and fine dust (PM2.5) in ambient air was measured in a residential area near Karlsruhe during the time period of Nov. 20, 2024 until Mar. 30, 2025. The used aerosol measurement technology were an AQ Guard Smart 2000 (UFP) and a Fidas Smart 100 (PM2.5) of the manufacturer Palas. In addition to the pollutant concentrations, local wind speed and direction were measured.
Im Zeitraum vom 20.11.2024 bis zum 30.03.2025 wurde in einem Wohngebiet bei Karlsruhe die Belastung der Atemluft mit ultrafeinen Partikeln (UFP) und Feinstaub der PM2,5 Fraktion gemessen. Die verwendeten Messgeräte waren ein AQ Guard Smart 2000 (UFP) und ein Fidas Smart 100 (PM2,5) der Firma Palas. Zusätzlich zur Konzentration der Luftschadstoffe wurde auch die örtliche Windgeschwindigkeit und Windrichtung gemessen.
Measurement data of UFP-concentrations and PM2.5-concentrations during the winter months (Nov. 20, 2024 - Mar. 30, 2025) in a residential area near Karlsruhe
Assessing the optical configuration of a structured light scanner in metrological use (data)
Processed micro-tomographic scan of the ant Axinidris acholli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
LUBW Landesanstalt für Umwelt Baden-Württemberg
Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology (KIT)
The simulations in the KIT-KLIWA Ensemble were performed with COSMO_CLM_5.0_clm7. The data contain the simulation output of 5min precipitation (TOT_PREC), and daily maximum temperature (TMAX_2M). These are results of the 3rd nest of a 3-nest approach (50km->7km->2.8km). The 3rd nest domain is a rotated 0.025° grid covering Southern Germany/Alps, with deep convection switched off. The data are provided for a sample grid point in the center of the simulation domain. The sample point has the coordinates 50°N, 10°E. The simulation covers the period 1971-2005 (historical) and 2006-2100 (rcp8.5). The driving data are CMIP5 MPI-M-MPI-ESM-LR, historical and rcp8.5, r1i1p1. Further information on the simulation setup can be found in Hundhausen, M., Feldmann, H., Laube, N., & Pinto, J. G. (2023): Future heat extremes and impacts in a convection-permitting climate ensemble over Germany. Natural Hazards and Earth System Sciences, doi: https://doi.org/10.5194/nhess-23-2873-2023.
KIT-KLIWA COSMO-CLM downscaling of MPI-ESM-LR to 0.025° resolution: 5min precipitation and daily maximum temperature single grid point sample data
Data from FROSTDEFEND_23 campaign taking place from 2023-03-27 - 2023-04-24 at a lemon orchad near Aigio. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Application of a Dynamic Pricing for Variant Manufacturing in Production Networks using Reinforcement Learning - Result Data
The dataset consist of the characteristic sets extracted from the samples taken from DBLP, DBpedia, LinkedMDB, YAGO. Furthermore, the files include metadata of the Characteristic Sets as well as the original dataset. The data is stored as tab-separated files (.tsv).
Characteristic Sets of RDF Graph Samples
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V3 (videos)
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 2)
The data includes the main results from the 360° electron tomography work, images in format of jpeg and tif, and presentations in format of ppt.
This report summarises the ‘rainout’ experiments undertaken by HSE, which was an experimental investigation into the release characteristics and dispersion of elevated spills of LH 2 , including the propensity for rainout to form. A series of 25 LH 2 releases from a tanker delivery hose at elevated positions were carried out through 6 mm, 12 mm and 25.4 mm nozzles with an indicated tanker pressure of 1 or 5 barg. The dispersion from these releases was measured using hydrogen concentration and temperature measurements. Other attributes such as pressure, mass flow rate and temperature were measured in the pipework to provide an understanding of the release characteristics. The experiments were carried out at the LH 2 release facility, which was located on a 32 m diameter concrete pad at the Frith Valley site at the HSE Science and Research Centre in Buxton. While no evidence of rainout was found during these releases, evidence of rainout immediately after a release was observed. Further to this, condensed components of air formed around the release point and on impingements. Pools were only formed with low, vertically downward releases. These pools potentially comprised of LH 2 , condensed components of air, or a mixture of the two. It is possible that with different initial conditions or obstruction geometries, rainout and pool formation could still occur. The phase of hydrogen at the release point was indicated by the pipework measurements. For the majority of the trials a two-phase flow developed within the release pipework. This has been attributed predominantly to the heat transfer into the fluid in the final 3 m of pipework, which contained the instrumentation and therefore was not vacuum insulated. The mass flow rate for each source configuration was measured and is reported including the methodology. The development and dispersion of the gaseous H 2 cloud that forms from a release of LH 2 was captured by the instrumentation and video footage. The jet is typically momentum dominated for the initial section, which ranges between 1.5 m and 6 m depending on the release pressure and nozzle size, but then becomes extremely dependent on the wind, including transient localised gusts. The video and data output of these experiments will be provided for model validation, which is due to take place in upcoming stages of the PRESLHY project.
exel file consists of data from following sensors, obtained during experiments: • near‐field thermocouples • far‐field thermocouples • pressure sensor • tank Pressure sensor • mass flow sensor • H2 concentration sensors • H2 PPM • O2 depletion • near‐field weather station PCE • far‐field wind sensor • far‐field humidity sensor and videos getted during experiments. Report
Fuel Cells and Hydrogen Joint Undertaking (FCH JU); Summary of experiment series E3.5
Der Datensatz beinhaltet die Simulationen des Papers "Micro-textures inversely designed with overlayed-lithography manufacturability for wetting behavior in Cassie–Baxter status". DOI: 10.1016/j.apm.2019.04.059
Dataset to the publication 'Micro-textures inversely designed with overlayed-lithography manufacturability for wetting behavior in Cassie–Baxter status'
This data is the dataset created in the context of the masters' thesis of Richard Rudolph
In the past 10 years, an increase in cyberattacks and their professionalisation, both by organised crime and suspected state actors, known as Advanced Persistent Threat (APT) groups, can be observed. A particular rise has been noted in connection with the active war in Ukraine [1,2], just as the Ukrainian power grid had already become victim of sophisticated attacks multiple times before the outbreak of the war with incidents like Industroyer and BlackEnergy [3,4]. A common defence against such attacks is the use of Intrusion Detection Systems (IDS) and/or Security Incident and Event Monitoring (SIEM) systems. However, these systems have the drawback that their effective use requires a team of security analysts to review numerous alarms and decide whether they represent a relevant threat. This can lead to the effect known as alert fatigue. Additionally, these systems often rely on signature databases and predefined rules to detect anomalies. This results in a high maintenance effort due to the arms race between attackers and defenders, as malware must first be detected and added to the database, and undetected incidents must be covered by rule updates, which then need to be rolled out. Furthermore, many systems assume that the network was not compromised at the time of setup in order to learn normal behaviour based on system observation over, for example, 1-2 weeks. Additionally, alarms that are related are often not directly correlated, making the detection of so-called \emph{low and slow} attacks, which are typical for APT groups, very difficult. There are approaches in the scientific literature to tackle the problem of detecting APT attacks. However, a significant effort is required to independently evaluate the effectiveness and functionality of these approaches. Research teams are also faced with the challenge of first setting up an infrastructure to execute and evaluate detection programs, and then bringing the programs to execution on this specific infrastructure. This thesis aims to first reproduce existing approaches to detecting attacks from APT groups. Additionally, existing datasets that have recorded such attacks will be examined. A categorisation of the datasets in terms of the attack steps they contain and the recording methods will be created. It will also be evaluated how different approaches can be applied to these datasets. [1] https://services.google.com/fh/files/blogs/google_fog_of_war_research_report.pdf, Whitepaper, (Accessed 2024-07-12) [2] https://www.blackhat.com/us-22/briefings/schedule/#real-cyber-war-espionage-ddos-leaks-and-wipers-in-the-russian-invasion-of-ukraine-27206, (Accessed 2024-07-12) [3] https://www.blackhat.com/us-17/briefings.html#industroyer-crashoverride-zero-things-cool-about-a-threat-group-targeting-the-power-grid, (Accessed 2024-07-12) [4] https://www.blackhat.com/us-22/briefings/schedule/#industroyer-sandworms-cyberwarfare-targets-ukraines-power-grid-again-27832, (Accessed 2024-07-12)
In den vergangenen 10 Jahren lässt sich eine Zunahme an Cyberattacken und deren Professionalisierung sowohl von organisierter Kriminalität als auch von mutmaßlichen Staatsakteuren, sogenannten Advanced-Persistent-Thread-Gruppen (APT-Gruppen) beobachten. Einen besonderen Anstieg konnte hierzu im Zusammenhang mit dem aktiven Krieg in der Ukraine beobachtet werden [5,6], genauso wie auch schon im Vorfeld des Krieges mit Industroyer und BlackEnergy das ukrainische Stromnetz mehrfach Opfer von anspruchsvollen Angriffen wurde [7, 8]. Eine übliche Verteidigung im Allgemeinen gegen Angriffe ist der Einsatz von Intrusion Detection Systemen (IDS) und/oder Security Incident and Event Monitoring (SIEM) Systemen. Diese Systeme haben allerdings die Nachteile, dass für deren effektiven Einsatz ein Team an Security Analysten benötigt wird, die zahlreichen Alarme sichten und entscheiden, ob es sich dabei um einen relevanten oder echten Alarm handelt. Dies kann zu dem Effekt bekannt als alert fatique führen. Zudem basieren diese Systeme oft auf Signaturdatenbanken und fest definierten Regeln, um Anomalien zu erkennen. Das führt dazu, dass durch ein Wettrüsten zwischen Angreifenden und Verteidigenden diese Systeme einen hohen Wartungsaufwand erfordern, da Malware zunächst entdeckt und zu der Datenbank hinzugefügt, sowie unerkannte Incidents gefunden, mit Regelnvorschriften abgedeckt und die Regeln ausgerollt werden müssen. Zudem basieren viele Systeme darauf, dass zum Einrichtungszeitpunkt das eigene Netzwerk noch nicht kompromittiert wurde, um ein Normalverhaltenbasierend auf der Beobachtung des Systems über beispielsweise 1-2 Wochen hinweg zu lernen. Zudem können oft in Zusammenhang stehende Alarme nicht direkt verknüpft werden, was die Detektion von sogenannten \emph{low and slow} Angriffen, wie sie für APT-Gruppen typisch sind, sehr schwierig macht. Für das Problem der Detektion von APT-Angriffen existieren in der wissenschaftlichen Literatur Ansätze. Allerdings besteht ein signifikanter Aufwand, diese Ansätze unabhängig auf ihre Wirksamkeit und Funktionsfähigkeit zu evaluieren. Forschungsteams stehen zudem vor der Aufgabe, zuvor eine Infrastruktur für die Ausführung und Evaluation von Detektionsprogrammen aufzubauen und zudem die zu evaluierenden Programme auf dieser spezifischen Infrastruktur zur Ausführung zu bringen. Diese Thesis hat zum Ziel, zunächst vorhandene Ansätze zur Erkennung von Angriffen von APT-Gruppen zu reproduzieren. Parallel dazu werden vorhandene Datensätze, in denen solche Angriffe aufgezeichnet worden sind, untersuchen. Eine Einordnung der Datensätze hinsichtlich der darin enthaltenen Angriffsschritte sowie Aufzeichnungsverfahren wird erstellt. Es soll auch evaluiert werden, wie unterschiedliche Ansätze auf diesen Datensätzen angewandt werden kann. [5] https://services.google.com/fh/files/blogs/google_fog_of_war_research_report.pdf, Whitepaper, (Abgerufen 2024-07-12) [6] https://www.blackhat.com/us-22/briefings/schedule/#real-cyber-war-espionage-ddos-leaks-and-wipers-in-the-russian-invasion-of-ukraine-27206, (Abgerufen 2024-07-12) [7] https://www.blackhat.com/us-17/briefings.html#industroyer-crashoverride-zero-things-cool-about-a-threat-group-targeting-the-power-grid, (Abgerufen 2024-07-12) [8] https://www.blackhat.com/us-22/briefings/schedule/#industroyer-sandworms-cyberwarfare-targets-ukraines-power-grid-again-27832, (Abgerufen 2024-07-12)
Dataset: Modeling and Detection of Cyberattacks by Advanced Persistent Threats (APT)
This program is intended to reproduce the results from the paper "Error analysis for space discretizations of quasilinear wave-type equations" It is an implementation of the full discretization of quasilinear wave equations, e.g., the Westervelt equation, following the method of lines.For the discretization in space, we apply a continuous Galerkin approach withisoparametric finite elements. For the subsequent discretization in time, two variants of the implicit midpoint rule as well as the leapfrog scheme areimplemented. The code is based on the open source finite element library MFEM (version 4.2). Further information can be found at https://mfem.org/ . -------------------------------------------------------------------------------- To use this code, MFEM (release 4.2) has to be installed supporting MPI, using Open MPI (release 4.1), Hypre (release 2.16.0), and Metis (release 5.1.0), cf. https://mfem.org/building/ . In order to run the program, change the makefile such that MFEM_DIR and MFEM_BUILD_DIR point to the source and build directory of MFEM on your system. Then, open a terminal session, go to the directory of the makefile and call "make". To reproduce the results shown in the paper, run the file "driver" to compute the results. These are then written to the file "res/results.txt" and can be displayed in a simple plot with the Matlab script "res/plot_results.m".
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/2; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-2.pdf) and in the paper "Error analysis for space discretizations of quasilinear wave-type equations" by M. Hochbruck and B. Maier.
Numerical experiments to "Error analysis for space discretizations of quasilinear wave-type equations"
The data comprise eleven tables containing low-temperature infrared refractive indices for crystalline ammonium nitrate. The syntax of the file names and the contents of the tables are explained in the additional text file "info.txt". The tables with the refractive index data can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "High-resolution optical constants of crystalline ammonium nitrate for infrared remote sensing of the Asian Tropopause Aerosol Layer" by Wagner et al. (2021) in Atmospheric Measurement Techniques
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
The droplet microarray (DMA) platform is a powerful tool for high-throughput biological and chemical applications, enabling miniaturization and parallelization of experimental processes. Capable of holding hundreds of nanoliter droplets, it facilitates the screening and analysis of various samples, including cells, bacteria, embryos, and spheroids. Handling thousands of such small volumes in parallel is essential but presents substantial challenges. In this study we utilize the open format of the DMA for controlled and highly parallel high-throughput liquid manipulations using the sandwich technique. We demonstrate high-throughput medium replacement at nanoliter-scale, maintaining high viability of cells on DMA for up to 7 days for HeLa-CLL2 cells (adherent) and SU-DHL4 cells (suspension), and up to 14 days for HEK293 spheroids. We also demonstrate highly parallel uptake aliquots from nanoliter droplets, which we use for non-destructive cell viability assessment. Additionally, the presented method enables the controlled parallel transfer of cell spheroids between different DMAs, enabling both transfer and pooling of spheroids in seconds without their damage. These advances significantly enhance the capabilities of DMA, enabling long-term cell culture in thousands of nanoliter droplets and allowing parallel sampling and high-throughput cell or spheroid manipulation for various screening applications. This broadens the potential applications of the DMA platform in the fields such as cell-based high-throughput screening, formation of complex 3D cell models for drug screening, and microtissue engineering.
Highly Parallel and High-Throughput Nanoliter-Scale Liquid, Cell, and Spheroid Manipulation on Droplet Microarray
Experimental Details: Cyclic voltammetry (CV) experiments were conducted under both ambient conditions (25°C, 101.3 kPa) and elevated pressures (5 bar, 10 bar, and 25 bar). For ambient conditions, a three-electrode glass cell filled with CO2-saturated 0.1 M TBABF4 in acetonitrile electrolyte solution was employed. A polished planar copper disk served as the working electrode. A coiled Pt-wire inserted in a glass tube with a porous glass frit at the bottom acted as the counter electrode and Ag/AgCl as a reference electrode. At elevated pressure, a 316L stainless steel cell was used. Inside the cell, a three-electrode setup consisting of a Cu-foil working electrode, an AgBF4-coated silver wire as quasi-reference, and a platinum gauze counter-electrode was employed. Before the experiment, the cell was filled with the electrolyte (0.1 M TBABF4 in acetonitrile) and purged five times with CO2 (until 6 atm) under constant stirring with a magnet-operated stirrer. Afterward, the cell was filled with CO2 until the desired absolute pressure. The reference potential was adjusted to account for the different Ag/Ag+ reference systems employed in the ambient and high-pressure setups. Cyclic voltammograms were collected for five consecutive cycles for each scan rate between –0.8 V and –2.4 V. Data of the third cycle is provided. Post-iR correction was applied to all CV data to eliminate solution resistance effects. Computational Details: The model was implemented and simulated with the MATLAB 2022b software. The set of differential equations was solved using the ode15 ODE solver function. A finite volume discretization scheme with central difference quotients was applied to discretize the spatial domain into 100 segments with logarithmically increasing cell width. The total thickness of the simulation domain was set to 6 mm. The initial concentrations for each species were set to their bulk concentrations. The *CO2 surface coverage was initially set to equilibrium with the liquid phase. For further details regarding the experimental and computational procedures, please refer to the Supporting Information.
Research Data of Unveiling the Kinetics of CO2 Reduction in Aprotic Electrolyte: The Critical Role of Adsorption
Inverse Scattering Problems for Long Tubular Domains - Codes - Version 2
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 3 of 4
# Dataset for Attacker Propagation ## Content There are 4 folders: * **binary** for an excutable version * **effort_reduction** data-sheet for the effort calculation * **evaluationmodel** PCM models of the 3 case studies and expected results * **source** source for the analysis and the metamodel ## Executing with the binary We bundled a eclipse product, which can be used to start our analysis and view the models. It should be configured that it automatically opens a workspace with the necessary projects loaded. In case that won't happen, the projects can be manually loaded over the source folder and there *Palladio-Addons-ContextConfidentiality-Analysis/tests/org.palladiosimulator.pcm.confidentiality.context.analysis.testmodels/* or for the automatic test *Palladio-Addons-ContextConfidentiality-Analysis/tests/edu.kit.ipd.sdq.kamp4attack.tests/* Here we describe the step to execute the binary: * Unzip the version of your Operating System * **Attention:** The MAC-Version might not work, because of MACOS security features. In that case [this](https://sdqweb.ipd.kit.edu/wiki/PCM_Installation#Mac_OS_X) might help. If not, you can still use the update site or manually install the tooling, but you are required to solve the dependencies manually. * We also provide an vm image for the tooling in the binary folder and there the vm folder * In the VM the Procuct is in the home directory under AttackerPropagation * The credentials for the vm are: * User: icsa * Password: icsa * Root-Password: icsa * Start the Application by executing the *PalladioBench* binary (not the eclipse one!) * After the load screen you should see 3 Projects in the Modelviewer on the left side: * edu.kit.ipd.sdq.kamp4attack.tests * org.palladiosimulator.pcm.confidentiality.context.analysis.testframework * org.palladiosimulator.pcm.confidentiality.context.analysis.testmodels * The models are stored in *org.palladiosimulator.pcm.confidentiality.context.analysis.testmodels*. * By clicking on the arrow before the project you can see the content. * The evaluation models are stored in the following folders: * models/powerGrid * models/targetBreach * models/travelplanner * Each folder contains the pcm models (allocation, reposity, resourceenvironment, system, usagemodel), the attackermodel (*.attacker), the access control model (*.context), the result model (*.kamp4attackmodificationmarks) and eclipse launchconfig (*.launch) * with the launch config the scenario can be executed, by opening the context menu (normally right clock) and clicking "Run as" * for a description of the models see Model Description * Additionally the accuracy tests can be executed automatically as Junit-Plugin-Test (only in the Linux binary): * Open edu.kit.ipd.sdq.kamp4attack.tests project * Navigate in the src folder to *edu.kit.ipd.sdq.kamp4attack.tests.casestudies* and *edu.kit.ipd.sdq.kamp4attack.tests.casestudies.travelplanner*. * By opening the context menu (right click usually) and "Run as" Junit-**Plugin**-Test * It is important to execute the tests as Plugin Tests since otherwise the dependencies can't be solved * For Windows and Mac-User they can run the test by executing `mvn clean verify` in *source/Palladio-Addons-ContextConfidentiality-Analysis/* or use the vm image in case maven does not work ## Executing without the binaries * Build each source project with maven * Projects generates an updatesite usually in the releng folder in an folder ending with .updatesite * These updatesites need to be installed in an eclipse installation. An README can be find in the source analysis source folder for the necessary dependencies ## Model Descripton * Target Breach * in folder targetBreach * Ukrainian Power Grid * in folder powerGrid * TravelPlanner * in folder travelplanner * Scenarios in folder *Attacker_Propagation_Accuracy*: 1. An Empty Attacker model. The analysis has no attacker, therefore no propagation should happen 2. The attacker has no attack therefore only the initial component is affected 3. The attacker has no specific attack but has some stolen credential. Therefore, only the credentials are allowed for the propagation 4. Propagations based on vulnerabilites. The attacker has attacks for mainly one attack step. To verify that each propagation types work 1. A Component to a Seff Propagation 2. A Component to Component Propagtion 3. The component compromises the resource it is deployed on 4. The component compromises a remote resource (not the one it is deployed on) 5. A linking Resource compromises a connected Resource container 6. A linking Resource compromises a connected component 7. A resource compromises a connected component 8. A resource compromises another connected resource 5. The attacker gains a new credential based on an attack, but can't take full control of the Linking Resource 6. Tests whether the AttackVector option is considered in the analysis 7. Tests whether the Privilege option is considered in the analysis ## Resultsmodel The ids of the non pcm elements (ServiceRestrictions and CompromisedData) might change for every run, since they are dynamically calculated for each analysis step. However, this is not problematic since they can identified by their other properties. ## Further Information Additional information and the current source code can be found at our Github repositories: * [Metamodel]https://github.com/FluidTrust/Palladio-Addons-ContextConfidentiality-Metamodel) * [Analysis](https://github.com/FluidTrust/Palladio-Addons-ContextConfidentiality-Analysis) * [Bench-Product](https://github.com/FluidTrust/Palladio-Bench-Product-AttackerPropagation)
Dataset - Architectural Attack Propagation Analysis for Identifying Confidentiality Issues
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 2)
Institut für Theoretische Festkörperphysik
For generating the numerical examples 1-3, run Paper_Ex1 Paper_Ex2 and Paper_Ex3. For the third example, we further provide the samples that we used in our publication. Consider the remarks in Paper_Ex3 for re-simulating them.
Numerical experiments to "Maximizing the electromagnetic chirality of thin metallic nanowires at optical frequencies"
*** TYPE OF SURVEY AND METHODS *** The data set includes responses to a survey conducted by professionally trained interviewers of a social and market research company in the form of computer-aided telephone interviews (CATI) from 2017-02 to 2017-04. The target population was inhabitants of Germany aged 18 years and more, who were randomly selected by using the sampling approaches ADM eASYSAMPLe (based on the Gabler-Häder method) for landline connections and eASYMOBILe for mobile connections. The 1,331 completed questionnaires comprise 44.2 percent mobile and 55.8 percent landline phone respondents. Most questions had options to answer with a 5-point rating scale (Likert-like) anchored with ‘Fully agree’ to ‘Do not agree at all’, or ‘Very uncomfortable’ to ‘Very comfortable’, for instance. Responses by the interviewees were weighted to obtain a representation of the entire German population (variable ‘gewicht’ in the data sets). To this end, standard weighting procedures were applied to reduce differences between the sample and the entire population with regard to known rates of response and non-response depending on household size, age, gender, educational level, and place of residence. *** RELATED PUBLICATION AND FURTHER DETAILS *** The questionnaire, analysis and results will be published in the corresponding report (main text in English language, questionnaire in Appendix B in German language of the interviews and English translation). The report will be available as open access publication at KIT Scientific Publishing (https://www.ksp.kit.edu/). Reference: Orwat, Carsten; Schankin, Andrea (2018): Attitudes towards big data practices and the institutional framework of privacy and data protection - A population survey, KIT Scientific Report 7753, Karlsruhe: KIT Scientific Publishing. *** FILE FORMATS *** The data set of responses is saved for the repository KITopen at 2018-11 in the following file formats: comma-separated values (.csv), tapulator-separated values (.dat), Excel (.xlx), Excel 2007 or newer (.xlxs), and SPSS Statistics (.sav). The questionnaire is saved in the following file formats: comma-separated values (.csv), Excel (.xlx), Excel 2007 or newer (.xlxs), and Portable Document Format (.pdf). *** PROJECT AND FUNDING *** The survey is part of the project Assessing Big Data (ABIDA) (from 2015-03 to 2019-02), which receives funding from the Federal Ministry of Education and Research (BMBF), Germany (grant no. 01IS15016A-F). http://www.abida.de *** CONTACT *** Carsten Orwat, Karlsruhe Institute of Technology, Institute for Technology Assessment and Systems Analysis orwat@kit.edu Andrea Schankin, Karlsruhe Institute of Technology, Institute of Telematics andrea.schankin@kit.edu
The aim of this study is to gain insights into the attitudes of the population towards big data practices and the factors influencing them. To this end, a nationwide survey (N = 1,331), representative of the population of Germany, addressed the attitudes about selected big data practices exemplified by four scenarios, which may have a direct impact on the personal lifestyle. The scenarios contained price discrimination in retail, credit scoring, differentiations in health insurance, and differentiations in employment. The attitudes about the scenarios were set into relation to demographic characteristics, personal value orientations, knowledge about computers and the internet, and general attitudes about privacy and data protection. Another focus of the study is on the institutional framework of privacy and data protection, because the realization of benefits or risks of big data practices for the population also depends on the knowledge about the rights the institutional framework provided to the population and the actual use of those rights. As results, several challenges for the framework by big data practices were confirmed, in particular for the elements of informed consent with privacy policies, purpose limitation, and the individuals’ rights to request information about the processing of personal data and to have these data corrected or erased.
Data set for the population survey “Attitudes towards big data practices and the institutional framework of privacy and data protection”
For detailed description of the method and its validation, see publication 10.5194/acp-2022-152. The supplement contains the error estimation software consisting of the preparation program error_diag2, the estimator Kaffee2, and the postprocessing tools, as well as supporting Fortran 90 and IDL library software used also in the MIPAS/ENVISAT data processor and elsewhere. Unpack with 'tar xvzf 10.5194_amt-2022-152_suppl.tar.gz'. This version of the software is only provided for validation of its functionality and the results in the publication 10.5194/acp-2022-152 and not released for distribution of the original or modified versions. The Fortran Processor library is licensed under LGPLv2.1 and may be modified and distributed under the terms of that license. For detailed information, see the README and html documentation inside.
Error estimation software and example data Supplement for publication DOI: https://doi.org/10.5194/amt-15-6991-2022
TUNER-compliant error estimation for MIPAS: Methodology - Supplement Software and Example Data
Various multi-mass oscillator models were parameterized as part of a publication on modeling the rotational mechanical impedance around the xh- and zh-axes of the human coordinate system according to ISO 5349-1:2001, The publication will appear shortly in the conference proceedings of the “5th VDI Symposium on Vibrations 2025: Solutions for Vibrations.” The underlying studies used for the parametrization are published as data sets under DOI 10.35097/1r2qfkquz7mzar0s and DOI 10.35097/vfrrc2hbxkujanz8. Based on this data sets, the three-, four-, and five-mass oscillators are parametrized for four different combinations of grip and push forces, as well as the mean rotational mechanical impedance of the study. The parametrization was achieved by using an optimization algorithm of the Matlab (2023b, The Math Works Inc., Natick, USA) internal functions GlobalSearch and fmincon. Furthermore, all multi-mass oscillators were parameterized without weighting and with a weighting function for emphasizing frequencies between 10 and 150Hz. The resulting parameters of each force combination and multi-mass oscillator are published here. The error metrics between the measured and modeled rotational mechanical impedance can also be found individually for each model.
The csv data contains different sheets. Sheet "Overview": - shows all multi-mass oscillators and their abbrevations - the weighting function - the objective function - the combinations of grip and push forces - the used formulas for calculating the error metrics Sheet "Summary xh-axis": - error metrics of the different multi-mass oscillators for evaluating between 10-500Hz and 10-125Hz, already summarized across the grip and push force levels - broken down into directly comparable error metrics for comparing the different models for modeling the measured rotational mechanical impedance around the xh-axis Sheet "Summary zh-axis": - error metrics of the different multi-mass oscillators for evaluating between 10-500Hz and 10-125Hz, already summarized across the grip and push force levels - broken down into directly comparable error metrics for comparing the different models for modeling the measured rotational mechanical impedance around the zh-axis Sheet "xh-axis Parameters, Errors" - lists all model parameters for the different mutli-mass oscillators for each grip and push force combination, parametrized both weighted and unweighted, resulting in 40 rows - the error metrics between the measured and modeled rotational mechanical impedance around the xh-axis for each parametrized model is specified, for both evaluation ranges (10-125Hz and 10-500Hz) Sheet "zh-axis Parameters, Errors" - lists all model parameters for the different mutli-mass oscillators for each grip and push force combination, parametrized both weighted and unweighted, resulting in 40 rows - the error metrics between the measured and modeled rotational mechanical impedance around the zh-axis for each parametrized model is specified, for both evaluation ranges (10-125Hz and 10-500Hz)
Model parameters and error metrics for modeling the rotatory mechanical impedance around the xh- and zh-axis
Processed micro-tomographic scan of the ant Camponotus OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data for Exploring Functional Photonic Devices made from a Chiral Metal-Organic Framework Material by a Multiscale Computational Method
Metabolites in a urine extract are signal-enhanced by SABRE hyperpolarization and detected using a benchtop NMR spectrometer. Quantification by standard addition is demonstrated for endogenic urinary nicotinamide (vitamin B3). Even higher sensitivity is achieved in an automated setup for multi-scan SABRE experiments. This hyperpolarization scheme is able to expedite biomarker detection and quantification, while maintaining low infrastructural requirements.
Included are 1H NMR data recorded on different spectrometers (Spinsolve 60 Ultra and Spinsolve 80, Magritek; 800 MHz Avance III spectrometer with He-cooled cryoprobe and 500 MHz Avance NEO spectrometer with conventional probe, Bruker) in their native formats and as JCAMP-DX files. Spectra are sorted by their appearance in the associated manuscript and ESI. Most spectra are acquired on extracts of human urine for the detection and quantification of endogenous metabolites. The parahydrogen-based hyperpolarization techniques Signal Amplification By Reversible Exchange (SABRE) and non-hydrogenous Para-Hydrogen Induced Polarization (nh-PHIP) are used for signal enhancement.
Benchtop NMR Signal Enhancement of Metabolites in Urine Extract using SABRE - Data
Data as published in Figures 1-5 of the corresponding manuscript.
We investigate lattice dynamics in LaCoO₃ using inelastic neutron and x-ray scattering over T = 2–650 K, spanning the spin-state crossover at T₁ ≈ 100 K and the insulator–metal transition at T₂ ≈ 550 K. Comparison with quasi-harmonic ab-initio lattice-dynamical calculations helps reveal anomalous softening of a ≈10-meV oxygen phonon, confined to the temperature interval T₁ ≤ T ≤ T₂ and localized in momentum space at qSSO = (½,½,½)c. This wave vector corresponds to the spin-state ordering originally proposed by Goodenough [J. Phys. Chem. Solids 6, 287-297 (1958)]. Our results therefore provide momentum-resolved evidence for dynamic correlations of high-spin and low-spin Co³⁺ states in LaCoO₃, linking spin-state fluctuations to anomalous phonon renormalization.
Phonons reflect dynamic spin-state order in LaCoO$_3$
Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_125 located at Fischerbach, Germany (48.2824°N, 8.1053°E) during the Swabian MOSES 2023 field campaign from June to August 2023.
Doppler lidar measurements from Fischerbach, Swabian MOSES 2023, Level 0 netCDF files
Raw data for operando XAS characterization The overview file "overview_data.pdf" provides information on which data was used in each figure and where the data can be found. In agreement with FAIR data principles, the XAS spectra of reference materials were additionally provided for upload in the RefXAS database (http://xafsdb.ddns.net/). More information on RefXAS can be found in the work of Paripsa and Gaur et al. (DOI: 10.1107/S1600577524006751) Complete raw dataset is published after embargo period (12/2026) at ESRF data portal under CC-BY-4.0 licence: https://doi.esrf.fr/10.15151/ESRF-ES-1357822885 Additional funding, to the below mentioned KIT-related funding, can be found in the acknowledgements of the publication and in the overview file. Additional affiliation for A. Nicolai, D. A. Montalvo Berltran, F. J. Summ and C. Kiener: Foundational Technologies, Research & Predevelopment, Advanced Manufacturing & Circularity Siemens AG Otto-Hahn-Ring 6 81739 Munich Germany
Monitoring the Fate of Zn in the Cu/ZnO/ZrO2 Catalyst During CO2-to-Methanol Synthesis at High Conversions by Operando Spectroscopy - Raw Data
Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)
Dieser Datensatz enthält die Zentralitätsmaße (Bonacich Centrality, Bonacich Power, Flow Betwenness Centrality) aller Städte, die im Februar 2023 entschienen Artikel "Standorte der deutschen Musikindustrie in globalen Netzwerken der Musikproduktion" untersucht wurden (Tabelle 2). Außerdem enthält der Datensatz den Grad aller Städte im Netzwerk. Die Werte wurden mit dem Tool UCINET (Version 6.753) berechnet.
Die .csv enthält eine Tabelle mit allen 184 Städten und ihre zugehörigen Zentralitätsmaße sowie deren Grad, jeweils absolute sowie normalisierte Werte.
This data set contains the centrality measures (Bonacich Centrality, Bonacich Power, Flow Betwenness Centrality) of all cities that were examined in the article "Standorte der deutschen Musikindustrie in globalen Netzwerken der Musikproduktion" (Tabel 2) published in February 2023. Additionally, the dataset contains degrees of all cities in the network. The values were calculated using Tool UCINET (Version 6.753).
Zentralitätsmaße aller Städte zum Standort-Artikel "Standorte der deutschen Musikindustrie in globalen Netzwerken der Musikproduktion"
In diesem Beitrag werden experimentelle Daten für den Wärmeübergang und den Druckverlust einer turbulenten Rohrströmung von Wasser und der Flüssigmetalllegierung GaInSn mit azimutal homogener und inhomogener Verteilung des Wärmestroms bereitgestellt. Für den inhomogenen Fall wurde der Wärmestrom nur über den halben äußeren Rohrumfang aufgeprägt. Die Reynolds-Zahl der Strömung wurde für Wasser im Bereich $5\cdot10^3 < Re_{Wasser} <4.2\cdot10^4$ und für GaInSn im Bereich $8\cdot10^3 < Re_{GaInSn} < 1\cdot10^5$ variiert.
Raw and analyzed data for the heat transfer and pressure drop for a turbulent tube flow of water and the liquid metal alloy GaInSn summarized in an excel file.
In this contribution experimental data of heat transfer and pressure drop for a turbulent tube flow of water and the liquid metal alloy GaInSn, with azimuthally homogeneous and inhomogeneous heat flux distribution is provided. For the inhomogeneous case, the heat flux was only applied over the half of the tube's outer circumference. The Reynolds number of the flow was varied for water in the range of $5\cdot10^3 < Re_{Water} <4.2\cdot10^4$ and for GaInSn $8\cdot10^3 < Re_{GaInSn} < 1\cdot10^5$.
Heat transfer and pressure drop data of a turbulent tube flow of water and GaInSn with azimuthally inhomogeneous heat flux
Processed micro-tomographic scan of the ant Acanthomyrmex luciolae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V2 (videos)
Processed micro-tomographic scan of the ant Mycetomoellerius holmgreni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
(Abstract) Numerical data for Figs. 2-22 of the paper "Correlation between phase stiffness and condensation energy across the non-Fermi to Fermi-liquid crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice" [DOI: 10.1103/PhysRevResearch.5.043007]
Correlation between phase stiffness and condensation energy across the non-Fermi to Fermi-liquid crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice - DATA
The dataset contains UV/vis extinction (EXT) and reflection (REF) data of pure pigment layers (cyan, magenta, yellow) printed on a substrate (REF: high quality paper | EXT: overhead transparencies) by a commercial inkjet printer.
# General Information This dataset contains measurement series of spectral data. They all originated from a printing procedure that used inkjet dye of three base colors cyan, magenta and yellow to print individual layers on one of two different substrates. Afterwards, these print samples are analyzed by UV/vis spectroscopy. A sample is created by printing a predefined number of base color layers on top of each other. The designation CCMMYY signifies that, initially, a layer of cyan was printed on the substrate. In the next step, the sample was subjected to a drying process, after which a subsequent layer, in this instance, another layer of cyan, was printed on top. This process was repeated until the final layer, in this case yellow, was printed. There are two types of samples based on the measurement methodology and substrates used: ## 1. Extinction (EXT) **Substrate**: Coated polyester foil (CPF) (Avery Inkjet 2502, Avery Zweckform GmbH, Oberlaindern, Germany) **Measurement**: UV/vis extinction measurement between 380 nm and 800 nm and a spectral resolution of 0.423 nm with a UV/vis spectrometer (*Flame S-XR1*, Ocean Insight, Orlando, FL, USA) in combination with a deuterium-halogen light source (*DH-2000*, Ocean Insight, Orlando, FL, USA) ## 2. Reflection (REF) **Substrate**: High quality paper (HQP) (tecno superior, Inapa Deutschland GmbH, Hamburg, Germany) **Measurement**: UV/vis reflection measurement between 361 nm and 800 nm and a spectral resolution of 1 nm with a UV/vis-NIR spectrometer (*Cary 5000* , Agilent Technologies, Santa Clara CA, USA). # Detailed description of datasets ## Subset 1 - CMY - 4 Layers - EXT This subset is designated as *CMY-4L-P81-EXT*. In total, four color layers were printed on the CPF and then analyzed by UV/vis spectroscopy. All possible combinations were printed and analyzed, resulting in a total of 81 samples. The flag EXT indicates, that a UV/vis extinction measurement was conducted to generate the data of this subset. ## Subset 2 - CMY - 6 Layers - EXT This subset is designated as *CMY-6L-PM90-EXT*. In total, six color layers were printed on the CPF and then analyzed by UV/vis spectroscopy. A specific set of color combinations were printed and analyzed, resulting in a total of 90 samples. The flag EXT indicates, that a UV/vis extinction measurement was conducted to generate the data of this subset. ## Subset 2 - CMY - 6 Layers - REF This subset is designated as *CMY-6L-PM90-REF*. In total, six color layers were printed on the HQP and then analyzed by UV/vis spectroscopy. A specific set of color combinations were printed and analyzed, resulting in a total of 90 samples. The flag REF indicates, that a UV/vis reflection measurement was conducted to generate the data of this subset. # Data types All spectroscopic extinction data is published in the .xlsx (combined spreadsheet) and .npy (separate files) format.
UV/vis Extinction and Reflection Data of Layered Pigment-Dye-Substrate-Composites
MIPAS Envisat SF6 Sulfur Hexafloride Atmosphere Composition
MIPAS/Envisat yearly global mean profiles of SF6 V2
Institut für Entrepreneurship, Technologiemanagement und Innovation (ENTECHNON), Karlsruher Institut für Technologie (KIT)
These teaching materials, which can be used and adapted for an approx. 1,5h workshop, were created as part of the project “StartUPsGEno: Development of a teaching and consulting module for startups to evaluate the legal form of a cooperative,” funded by the GENO Foundation WissenSchafftPartner of the Baden-Württemberg Cooperative Association. The aim of the project was to develop, implement, and evaluate a specialized consulting module that supports startups and students in assessing and learning about the suitability of the legal form of a cooperative for their business model. The project aimed to offer effective consulting and decision-making support and to test modules in teaching in order to make it easier for founders and those interested in founding a company to choose the appropriate legal form.
Diese Lehrunterlagen, die für einen ca. 1,5h Workshop verwendet und angepasst werden können, wurden erstellt im Rahmen des Projekts „StartUPsGEno: Entwicklung eines Lehr- und Beratungsmoduls für Startups zur Evaluierung der Rechtsform Genossenschaft“, gefördert durch die GENO-Stiftung WissenSchafftPartner des Baden-Württembergischen Genossenschaftsverbands. Ziel des Projektes war die Entwicklung, Implementierung und Evaluierung eines spezialisierten Beratungsmoduls, das Startups und Studierende dabei unterstützt, die Eignung der Rechtsform der Genossenschaft für ihr Geschäftsmodell zu bewerten bzw. kennenzulernen. Das Projekt zielte darauf ab, effektive Beratung und Entscheidungshilfen anzubieten und Module in der Lehre zu testen, um Gründern und Gründungsinteressierten die Wahl der geeigneten Rechtsform zu erleichtern.
Sie können diese Präsentation gerne kopieren, verwenden und nach Ihren Bedürfnissen verändern. Bitte beachten Sie die folgende Creative-Commons-Lizenz, unter der wir dieses Material veröffentlichen. Attribution-ShareAlike 4.0 International: Sie dürfen das Material in jedem Medium oder Format und für jeden Zweck, auch kommerziell, kopieren, weitergeben, anpassen, umgestalten und umwandeln. Sie müssen eine angemessene Quellenangabe machen, einen Link zur Lizenz bereitstellen und angeben, ob Änderungen vorgenommen wurden. Außerdem müssen Sie Ihre Beiträge unter der gleichen Lizenz wie das Original verbreiten. Bitte beachten: Teile des Inhalts basieren auf F. Lüdeke-Freund, H. Breuer & L. Massa (2023). Sustainable Business Model Design. Source: www.sustainablebusiness.design. Dieser Inhalt ist auch lizenziert unter CCBYSA. Bitte beachten Sie die Hinweise auf den jeweiligen Folien und zitieren Sie den Inhalt entsprechend.
Geschäftsmodelle mit Wirkung - Workshopunterlagen
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 8)
The dataset contains yearlong monthly measurements (January 2019 to Febuary 2020) of water quality parameters, CO2, CH4 and N2O concentrations from 59 stream sites within the Kenyan part of the Mara River basin. The study sites covered various upstream land uses (croplands, savanah grasslands and forests) as well as stream orders (1-8). Measurements were mostly done during the day between 8.00 am and 5.00pm.
Water quality and greenhouse gas (GHG) concentration data from streams and rivers in the tropical Mara basin
Processed micro-tomographic scan of the ant Pseudomyrmex triplarinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
A set of Python scripts for tasks around the archival and long-term preservation of software repositories.
FACILE-RS: archival and long-term preservation of research software repositories made easy
Polyoxometalates as Nano-electrocatalyst in Redox-based Memristor
Data for Multi-scale modeling of surface second-harmonic generation in centrosymmetric molecular crystalline materials: how thick is the surface
The file contains seismic station locations and amount of data collected during the temporary deployment.
Temporary deployment of 84 geophones 4.5Hz + datacube across the Antofagasta region in northern Chile to record the background seismicity in the area. The network operated for 8 months, from March to October 2020. Data will be available through the FDSN/EIDA service hosted at the GFZ-Potsdam. The waveform data is embargoed until 31.12.2024. FDSN network information can be found at DOI 10.7914/mc8r-ft72
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.6
EFB (European Fitness Badge) Sport and Gymnastic organizations as well as scientific partners from ten institutions across eight European countries were involved in the development of the EFB. Organizations in participating countries offer completion of the EFB in different settings. The EFB has two TPs (Test Profiles) and participants are asked to choose one profile based on their level of physical activity. The level of physical activity is determined based on the N-Ex questionnaire that all participants are required to complete prior to the testing. N-Ex Questionnaire Participants are asked to choose one of five descriptions of usual physical activities during a normal week that best reflects their activity level. The questionnaire distinguishes between activity levels from 1 to 5. TP1 Test Profile 1 was designed for less active or older individuals and mainly assesses functional performance. TP2 (this data set) Test profile 2 addresses physically active people and is considered performance-oriented. The test performance is evaluated quantitatively using age- and gender-specific reference values in five categories [1?5] according to percentiles. The point values refer to quintiles: 1 point = percentile rank 0?20, 5 points = percentile rank 81?100. Based on their test performance, participants that complete TP2 receive an ?advanced? or ?approved? certificate. Below 11 points, a participation certificate is given out.
Health-Related Fitness in Adults From Eight European Countries?An Analysis Based on Data From the European Fitness Badge
Processed micro-tomographic scan of the ant Dolichoderus cf bidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Kartidris ashima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthomyrmex glabfemoralis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys zeteki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code is used for the numerical experiment in Section 6 of the paper "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" by Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.3.2) has to be installed, cf. https://www.dealii.org/9.3.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Finally, run the program with "make run". This performs the computations and generates the file "results" containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'.
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" (Version 2)
Processed micro-tomographic scan of the ant Cardiocondyla emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Campsomeriella annulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Model code to "The influence of lattice misfit on screw and edge dislocation-controlled solid solution strengthening in Mo-Ti alloys"
This dataset delivers data points of the diagrams in the publication: "Impact of CeCo-Coated Metallic Interconnectors on SOCs Towards Performance, Cr-Oxide-Scale, and Cr-Evaporation" DOI: 10.1149/1945-7111/ad44da
Research data of the publication: Impact of CeCo-Coated Metallic Interconnectors on SOCs Towards Performance, Cr-Oxide-Scale, and Cr-Evaporation
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
this link is for the raw and processed TEM data belonging to the article. The raw data can be open via Velox software from Thermofisher.
Layered high-entropy sulfides: boosting electrocatalytic performance for hydrogen evolution reaction by cocktail effects
The data are the netcdf outputs from ICON-ART simulations. Except for interpolation from native ICON grid to Cartesian coordinates, no post-processing has been applied. Meta data of the variables are contained within the files. For scenarios 'REF', 'SEED', and 'TRGT', output is available hourly for a 24 hours period. Output for sensitivity studies is available only for simulation hour 24 in files 'DIA<X>_<Y>...'. With <X> referring to seeding aerosol diameter and numbers <Y> referring to seeding aerosol peak number concentrations in ascending order.
Processed micro-tomographic scan of the ant Labidus mars, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Instructions: The scripts inside the subfolders are intended to reproduce the figures from the preprint> Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations by Marlis Hochbruck, Markus Neher, and Stefan Schrammer Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 Generation of figures (tikz files containing the data are also created) In the folder fracginz open a console and run the commands 1. to create the data for Figures (1) and (2) python3 fgl.py 2. to create Figures (1) and (2) python3 fgl_results.py In the folder fracschr open a console and run the commands 3. to create the data for Figure (3) python3 fsr.py 4. to create Figure (3) python3 fsr_results.py In the folder laserplasma open a console and run the commands 5. to create the data for Figures (4) and (5) python3 lpi.py 6. to create Figures (4) and (5) python3 lpi_globalerr.py python3 lpi_svals_maxint.py In the folder sineg open a console and run the commands 7. to create the data for Figures (6) and (7) python3 sineg.py 8. to create Figures (6) and (7) python3 sineg_globalerr_ranks.py If the reference solutions shall be recomputed, uncomment the line methods.append(...) at the beginning of the scripts fgl.py, fsr.py, lpi.py, and sineg.py, respectively.
Numerical experiments to "Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations"
Im Zuge der aktuellen Bildungsdiskussion wird verstärkt auch die Notwendigkeitder Verbesserung schulischer Bildung thematisiert. Die Schule wird dabei alserziehungsleitende Institution betrachtet und stellt ein wichtiges Setting dar, umGesundheitsförderung auch in der Schule umsetzen zu können. Gut geeignetdafür ist unter anderem der Sportunterricht, in dem die Gesundheitswirksamkeitvon Bewegung und Sport für die Kinder und Jugendlichen genutzt werden kann.Im Focus steht eine zeitgemäße gesundheitlich basierte Schulsportentwicklungin Luxemburg. Die Grundlage dazu soll der im Rahmen der Studie zuerstellende Bericht zur motorischen Leistungsfähigkeit, körperlich-sportlichenAktivität und Gesundheit von Kindern und Jugendlichen liefern.
Motoriktest; Leistungsfähigkeit; Schulsportentwicklung
Forschungsprojekt Motorische Leistungsfähigkeit in Luxemburg
Processed micro-tomographic scan of the ant Aphaenogaster tipuna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung
The data in the two Excel files is related to the publication "Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany" by Song et al., ACP, 2024, https://doi.org/10.5194/egusphere-2023-2255. The first Excel file (21Summer KITcn data-1) contains the time series of meteorological data, particle species measured by the AMS, eBC measured by the Aethalometer AE33, semi-volatile OA particle and selected VOC species measured by the CHARON-PTR-MS, and trace gases (NO, NO2, SO2, O3 and NH3). The second Excel file (21Summer KITcn data-2) contains the time series of source factors resolved from the PMF analysis of AMS-measured OA particles, CHARON-measured OA particles and PTR-measured VOCs, respectively.
The composition, sources and chemical transformation of volatile organic compounds (VOCs) and organic aerosol (OA) particles were investigated during July–August 2021 at a rural forested site in southwest Germany, 10 km north of the city of Karlsruhe. VOCs and semi-volatile OA particles were measured with a proton-transfer-reaction mass spectrometer coupled to the CHemical Analysis of aeRosols ONline particle inlet (CHARON–PTR-MS). The CHARON-measured OA mass accounted for 62+-18% on average of the total OA mass (4.2+-2.8 μgm-3) measured concurrently with an aerosol mass spectrometer (AMS). The total concentrations of measured VOCs ranged from 7.6 to 88.9 ppb with an average of 31.2+-13.4 ppb. Positive matrix factorization (PMF) was used to identify major source factors of VOCs and OA particles. Three types of oxygenated VOC (OVOC), namely aromatic OVOCs, biogenic OVOCs and aged OVOCs, contributed on average 11%+-9 %, 37%+-29% and 29%+-21% of total VOC concentrations, respectively. The results of AMS–PMF indicated substantial contributions of oxygenated organic compounds to OA particle mass. Three secondary OA (SOA) factors determined by CHARON–PMF analysis, namely aromatic SOA (5%7 %), daytime biogenic SOA (17%+-17 %) and nighttime biogenic SOA (28%+-21 %), consistently showed high contributions to the total CHARON-measured OA mass. Nighttime particle growth was observed regularly in this area, which was mainly attributed to the semi-volatile organic compounds and organic nitrates formed from the oxidation of monoterpenes and sesquiterpenes. This study presents the major sources, real-time transformations of VOCs and OA particles, and nighttime particle formation characteristics for central European forested areas.
Secondary organic aerosol and VOC in a forest
Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT), Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
Version 1 of the dataset [1] is described in detail in [2] and Chapter 7.1 of [3]. The differences between version 1 and version 2 (this dataset) are described in the "Readme" file included in this dataset. [1] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]. RADAR4KIT, 2024, DOI 10.35097/1947 [2] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell. Sci Data 11, 1004 (2024). https://doi.org/10.1038/s41597-024-03831-x [3] Luh, M.: Bidirectional Charging Systems and Battery Lifetime Modeling for Vehicle-to-Grid Applications, dissertation, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, 2024, DOI: 10.5445/IR/1000174456
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains data from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes result data (capacity, impedance, and pulse resistance measurements). The log data is published under the DOI 10.35097/kww7jv8ajuvchcah.
electrochemical impedance spectroscopy (EIS)
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: result data]
This archive contains data presented in the manuscript “Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model”. # Article: - Authors: Annika Oertel, Annette K Miltenberger, Christian M Grams , and Corinna Hoose - Title: Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model. - Journal: Atmospheric Chemistry and Physics - Publication Year: 2023 - Doi: https://doi.org/10.5194/egusphere-2023-259 This data set contains (i) cold front-relative vertical cross-section composites across the WCB cloud and (ii) online WCB trajectory data centered relative to the start of fastest embedded 600 hPa ascent phase from a high-resolution nested ICON simulation. For details on the ICON simulation, trajectory data and composites, please refer to the publication. # Data description: The data are in netCDF format and contain the following: - Cold front-relative vertical cross-section composites (front_rel_composites.nc) The cold front-relative vertical cross-section composites show characteristics of the WCB cloud band and are centered at the Western edge of the WCB cloud band at relative longitude rlon=0. The dataset contains standard meteorological variables, as well as diabatic heating ("dh_") and potential vorticity ("pvt_") rates from individual microphysical processes as well as from radiation, turbulence, convection and non-orographic and orographic gravity wave drag. Individual processes are described in detail in the publication. - Trajectory data are contained in the following datasets: - wcb_trajs_basic.nc (includes standard meteorological variables) - wcb_trajs_adh.nc (includes ascent-integrated diabatic heating rates (ADH) from various non-conservative processes) - wcb_trajs_apv.nc (includes ascent-integrated potential vorticity rates (APV) from various non-conservative processes)
This archive contains research data presented in the manuscript “Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model”.
Research data for "Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model"
Processed micro-tomographic scan of the ant Myrmicaria sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data provided here contains the information of the publication "High temperature in situ gas analysis for identifying degradation mechanisms of lithium-ion batteries" in Chemical Science. Two excel files are attached, which provide the data for the figures in the main text amd the supporting information. Data processing is described in the paper as well as the supporting information.
High temperature in-situ gas analysis for identifying degradation mechanisms of lithium-ion batteries
DMG is the TEM images emd is Velox files
Exploring precipitates in a severely deformed Al-Mg-Si alloy at the atomic level
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 1)
TEM raw data for the publication "Continuous flow oxidation of HMF using supported AuPd-alloy" PDF file for information on sample labeling
Raw data: Continuous flow oxidation of HMF using supported AuPd-alloy
Die aktualisierten Daten finden Sie unter: http://dx.doi.org/10.5445/IR/1000127274 Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi:[10.5067/GPM/IMERG/3B-HH/06](https://doi.org/10.5067/GPM/IMERG/3B-HH/06 )) Data format: netCDF Time resolution: daily (365 calendar days) Latitude band: 40°S–40°N Spatial resolution: 0.1°x0.1° (800x3600 points) Content: Parameters (prob, shape, scale) of a fitted Bernoulli-gamma distribution derived from +/-15 days windows around each calendar day of the years 2001–2018. Value: The EPC dataset provides statistical distributions of daily rainfall for the entire global tropics with a high spatial resolution using one of the most accurate satellite-based rainfall estimates. This can be used for a climatological characterization and as a probabilistic reference forecast against which weather forecasts generated with computer or statistical models can be evaluated. Application example: Vogel et al. (2018, doi:[10.1175/WAF-D-17-0127.1](https://doi.org/10.1175/WAF-D-17-0127.1)) Reference: The research leading to these results has been accomplished within project C2 "[Statistical-dynamical forecasts of tropical rainfall](https://www.wavestoweather.de/research_areas/phase2/c2/index.html)" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).
Extended probabilistic climatology (EPC) as a reference forecast for precipitation in the tropics
To identify and understand the ignition risks associated with situations unique to liquid hydrogen releases, where factors of cryogenic temperatures are significant. Ares of particular interest are: ignition potential at reduced temperature in the vapour phase; electrostatic charging in liquefied/multiphase mixtures; and energetic multiphase mixtures of hydrogen and oxygen. The key objective is to understand the impact of these particular circumstances on the likelihood of ignition, and to confirm the prioritisation of phenomena for further study within the project. Phenomena: Ignition above the pool under variable conditions (material of the ground, initial temperature).
The POOL-facility mainly consists of an insulated stainless-steel box with the dimensions 0.5 x 0.5 x 0.2 m³ that is filled up to half the height (0.1 m) with the respective substrate. The height of the LH2-pool that forms above the substrate can be determined using the weight of the complete facility, since it is positioned on a scale, but also 6 thermocouples that are located in different heights above the pool. Ignition point height varies from 8cm to 45cm.
PRESLHY Experiment series 4.4; Material of the ground: concrete
Processed micro-tomographic scan of the ant Rogeria foreli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Supplementary data for the publication: Mohr, S., Ehret, U., Kunz, M., Ludwig, P., Caldas-Alvarez, A., Daniell, J. E., Ehmele, F., Feldmann, H., Franca, M. J., Gattke, C., Hundhausen, M., Knippertz, P., Küpfer, K., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Scheibel, M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis, Nat. Hazards Earth Syst. Sci. Discuss. doi:10.5194/nhess-2022-137. 1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates. Further details can be found in the corresponding publication.
1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates and the following parameters: Reference date = start date time = hours before starting date lon = latitude in °E lat = latitude in °N p = pressure in hPa Q = moisture in g/kg T = temperature in K RH = relative humidity in % TH = potential temperature in K BLH = boundary layer height in m Further details can be found in the corresponding publication.
Data supplement for the publication: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis
Data Repository of the JAMES article on "Modelling intra- and interannual variability of BVOC emissions from maize, oil-seed rape and ryegrass"
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research– Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany
Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Helmholtz Zentrum München, Institute of Biochemical Plant Pathology, Research Unit Environmental Simulation (EUS), Neuherberg, Germany
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research– Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany; Ludwig-Maximilians-Universität München, Department of Geography, Munich, Germany
BVOCs vary widely among different crops, an aspect that has been largely neglected in emission inventories. In particular, bioenergy-related species can emit mixtures of highly reactive compounds that have received little attention so far. For such species, long-term field observations of BVOC exchange from relevant crops covering different phenological phases are scarcely available. Therefore, we measured and modelled the emission of three prominent European bioenergy crops (maize, ryegrass, and oil-seed rape) for full rotations in north-eastern Germany. Using a proton transfer reaction–mass spectrometer combined with automatically-moving large canopy chambers, we were able to quantify the characteristic seasonal BVOC flux dynamics of each crop species. The measured BVOC fluxes were used to parameterize and evaluate the BVOC emission module (JJv) of the physiology-oriented LandscapeDNDC model, which was enhanced to cover de novo emissions as well as those from plant storage pools. Parameters are defined for each compound individually. The model is used for simulating total compound-specific reactivity over several years and also to evaluate the importance of these emissions for air chemistry. We can demonstrate substantial differences between the investigated crops with oil-seed rape having 37-fold higher total annual emissions than maize. However, due to a higher chemical reactivity of the emitted blend in maize, potential impacts on atmospheric OH-chemistry are only 6-fold higher.
Bundesministerium für Ernährung und Landwirtschaft
Air chemistry, BVOCs, Plant physiology, field observations, Modeling
Simulated and observed BVOC exchange, GPP and biomass from maize, oil-seed rape and ryegrass
Processed micro-tomographic scan of the ant Dolichoderus imitator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Im Rahmen der Europäischen Woche des Sports 2017 konnten Studierende und Mitarbeitende des KIT das Europäische Fitness Abzeichen absolvieren. During the European week of sport in 2017, students and employees of the KIT could do the European Fitness Badge.
The program RIGTID together with its subroutines computes the tidal accelerations on a rigid earth, i. e. no response of the Earth is considered. The tidal accelerations are calculated directly from the positions of moon and sun separately, i. e. if wanted two groups of tides (solar or lunar) can be handled differently. The program does not use a potential development, it includes the second, third, and fourth degree potential of the moon, but only the second degree potential of the sun. It treats the earth as an elliptically shaped body but does not include the direct effect of the earth's ellipticity on the tidal accelerations (Wilhelm 1983 and Dahlen 1993). It also does not take into account the speed of light. No planets are included, this is discussed by Broucke, Zuern, and Slichter, (1972, DOI: 10.1029/GM016p0319). This program was developed at UCLA in 1971/72 by Walter Zuern with the help of subroutines provided by Roger Broucke from JPL describing the position of the moon much more accurately than is done by the program developed by Longman previously. The description of the celestial mechanics of the Earth-Moon-Sun system was still very accurate in 2017 when compared to ephemerides, which are the basis of the most modern tidal potential catalogues. The program was originally already intended for free distribution ("open source" in 2017 speak). It has happened before that modifications were made in the main program by some people (rigtid.f) which were later detected to be faulty. It is recommended that users track the path of their version either starting at UCLA (probably not possible any more) or at BFO in order to be sure that no unwanted modifications crept in. If the program is used and an author wants a reference, the above (short) publication is the only one available.
Über den Ablauf einer Gefriertrocknung auf Mycrometerebene gibt es bislang nur modellhafte Vorstellungen. Über einen speziellen Versuchsaufbau ist es nun möglich, Mycro-CT-Messungen während der Gefriertrocknung durchzuführen. In den gezeigten Daten wurde eine gefrorene Karottenscheibe in einen vakuumfesten, runden Plexiglascontainer gelegt, mittels einer drehbaren Absaugung evakuiert und an der Topo/Tomo-Beamline des IPS mit Synchrotronstrahlung gescannt. Dadurch konnte in einem Abstand von 5 Minuten die Porenstruktur der Karottenscheibe visualisiert werden. Auch die Unterschiede zwischen mit Eis gefüllten Poren und schon leeren, getrockneten Poren konnten aufgelöst werden. Dies macht es möglich, den Verlauf einer Gefriertrocknung zu verfolgen und nachzuvollziehen.
The development of a freeze-drying process on a micrometer scale hast not yet been visualized. With a new experimental setup, micro-CT measurements can be performed during a freeze-drying process. For the shown data, a frozen carrot disc was placed inside a round perplex container, which was evacuated through a rotatable hose. The whole container was then positioned in synchrotron radiation in the Topo/Tomo-beamline of the IPS, which enabled a full scan of the carrots pore structure each 5 minutes. Hereby, the differences between ice-filled pores and already dried, empty pores could be visualized. This enabled a visualization of the progress of a freeze-drying process.
The data is given as a .tif stack and can be viewed with Fiji/ImageJ. Simply drag and drop the file and you can scroll between the different times during drying. The time of the process is given in the form hh:mm in the top left corner. Bright structures are dense (cell walls, ice), while darker structures are less dense (vacuum, air). Notice that X and Y describe the horizontal dimensions of the carrot disc, while Z describes the height. As a result, the scan in the X-Y-layer shows a horizontal cut through the carrot, while the scan in the X-Z-layer shows a vertical cut.
In-situ micro-CT scan of a carrot disc during freeze-drying
Landesamt für Geologie, Rohstoffe und Bergbau
PRESLHY Experiment series 5.3; block ratio: 60%; initial temperature: approx. 80K (cold)
Processed micro-tomographic scan of the ant Cyphomyrmex cf minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Experimental Data for the Dissertation "Leveraging Constraints for User-Centric Feature Selection" These are the experimental data for the dissertation> Bach, Jakob. "Leveraging Constraints for User-Centric Feature Selection" at the [Department of Informatics](https://www.informatik.kit.edu/english/index.php) of the [Karlsruhe Institute of Technology](https://www.kit.edu/english/). The subfolders correspond to individual chapters of the dissertation: - `chap4-syn`: Chapter 4 - "Evaluating the Impact of Constraints on Feature-Selection Results" - `chap5-ms`: Chapter 5 - "Formulating Scientific Hypotheses as Constraints - A Case Study" - `chap6-afs`: Chapter 6 - "Finding Alternative Feature Sets" - `chap7-csd`: Chapter 7 - "Discovering Sparse and Alternative Subgroup Descriptions" See the corresponding `README` files in the subfolders for more information. We already published prior versions of the experimental data, as the dissertation bases on prior papers: - Chapters 4 and 5: [Data](https://doi.org/10.35097/1345) for the [paper](https://doi.org/10.1007/s42979-022-01338-z) "An Empirical Evaluation of Constrained Feature Selection" - Chapter 6: [Data](https://doi.org/10.35097/1920) for the [paper](https://doi.org/10.48550/arXiv.2307.11607) "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 2) - Chapter 7: [Data](https://doi.org/10.35097/caKKJCtoKqgxyvqG) for the [paper](https://doi.org/10.48550/arXiv.2406.01411) "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" (Version 1) For Chapters 4, 5, and 7, we mainly consolidate the existing data. In particular, all `*.csv` files (datasets and results) remain unchanged compared to the data linked above. For Chapter 6, we reran the experimental pipeline to integrate a change for the feature-selection method "Greedy Wrapper". The other feature-selection methods have not changed, but experimental data may slightly differ regarding runtimes and for results affected by solver timeouts. For all four chapters, the following files (in each subfolder) differ from prior versions: - `Evaluation_console_output.txt`: The dissertation's evaluation partly differs from the papers' evaluations (e.g., some analyses added, adapted, or removed). - `README.md`: We adapted these files to the context of the dissertation, added some explanations, and proofread them.
These are the experimental data for the dissertation> Bach, Jakob. "Leveraging Constraints for User-Centric Feature Selection" at the [Department of Informatics](https://www.informatik.kit.edu/english/index.php) of the [Karlsruhe Institute of Technology](https://www.kit.edu/english/). You can find the dissertation [here](https://doi.org/10.5445/IR/1000178649). See the `README` for details. Many input datasets (which we also provide here) either - originate from [OpenML](https://www.openml.org) and are CC-BY-licensed or - originate from [PMLB](https://epistasislab.github.io/pmlb/) and are MIT-licensed. Please see the `LICENSE` files in the corresponding `datasets/` subfolders for details.
Experimental Data for the Dissertation "Leveraging Constraints for User-Centric Feature Selection"
Processed micro-tomographic scan of the ant Wasmannia auropuctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
#In-Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS Please see provided Jupyter Notebook "README" for further information. This dataset is part 2 of 2.
In Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS - Part 2
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0010, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0010 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The data set contains the measured data and the analysis of tire measurements with regard to the force transmission behaviour in lateral and longitudinal direction, in particular the lateral and longitudinal force transmission of a tire on a dry asphalt road surface. The recorded measurement data was then transformed from the original measurement coordinate system (TYDEX C) into two vehicle-related coordinate systems (TYDEX H and W). Based on the classified time series data, characteristic curves were created for the tested operating points with regard to lateral and longitudinal force transmission. Additionally, a separate folder contains a driving cycle with a slalom maneuver of a vehicle for the front left and right wheels, generated from a vehicle dynamics simulation.
Tire’s force transmission characteristic on dry asphalt measured at the inner drum test bench of KIT
The data set consists of five types. 1) In table AnthroDemoMaxForcesTable.mat the anthropometric data, the gender and the maximum grip and push forces of the subjects are listed. 2) In Matrix resultsMatrix.mat the mechanical impedance and the phase angle of the measurements of the subjects study are summarized. The resulting mechanical impedance and the phase angle are already calibrated in each direction, and can be used directly from the matrix. The matrix consists of two dimensions, the first is the mechanical impedance and the phase angle around the direction of excitation (zh), the second dimension is the cross-axial mechanical impedance and the phase angle around xh-direction. The directions are named according to the coordinate system of DIN 5349:2001. Each row of the matrix represents one measurement. The following data information and results are in the corresponding columns: 1: number of the subect 2: is 0 if the grip and push forces during the measurements are within the range of 5N and 14%, otherwise a 1 is at this position. This can be used for data exclusion. 3: predefined push force value 4: predefined grip force value 5: experiment number according to the resultsMatrix for each subject 6: sequence of the taken measurements of each subject, due to a randomized test plan 7: mean measured grip force 8: median measured grip force 9: standard deviation of the measured grip force 10: mean measured push force 11: median measured push force 12: standard deviation of the measured push force 13: mechanical impedance at 10 Hz 14: phase angle at 10 Hz 15: mechanical impedance at 15 Hz 16: phase angle at 15 Hz 13:2:209 mechanical impedance between 10-500 Hz in 5 Hz steps 14:2:210 phase angle of the mechanical impedance between 10-500 Hz in 5 Hz steps 3) The VPAmatrix.mat is according to resultsMatrix.mat, instead of the mechanical impedance in positions 13:2:209 the vibration power absorption values are listed. Here, only the direction of excitation is evaluated. 4) Raw data, the data name consists of the time stamp and is named afterwards in the same order as the matrix: Px, where x is the number of the subject, followed by the push and then the grip force and the position in the matrix. In each struct the metadata, the time and the signals are saved. The excitation in the subject study was applied around the forearm axis (zh according to DIN5349:2001). Therefore, the angular_acceleration_z is already calculated from the recorded sensor signals az_top and az_bottom (the acceleration at the top and bottom of the measuring handle) in excitation direction. Torque_around_z is the torque resulting from the force sensor signals Fz_top and Fz_bottom around the direction of excitation. Torque_around_z and the angular_acceleration_z are used to calculate the mechanical impedance and vibration power absorption around the excitation direction (dimension 1 in the resultsMatrix.mat file). The signals used for the second dimension of the resultsMatrix are Torque_around_x (resulting from Fx_top, Fx_bottom) and angular_acceleration_z. The raw data includes the measurements of 16 levels of grip and push force combinations with three repetitions for each subject, as well as additionally measured validation data at random intermediate force levels. 5) emptyMeasurement.mat is a measurement of the unloaded handle while excited with the same signal as in the subject study. This file can be used for the calibration of the handle.
The data set contains the raw as well as the evaluated data from a subject study with 6 subjects to measure the mechanical impedance and the vibration power absorbtion while varying the grip and push forces in four levels between 25-135N and 30-100N respectively. For each subject 10 additional measurements at random grip and push force combinations were recorded for validation purposes. The subjects were randomised to hold the force levels while the measurement handle was excitated around the lower arm axis (zh-axis according to DIN5349:2001) to their hand-arm system via a shaker system, with the posture of the subjects lying within the ranges specified in ISO 10819:2022. The measuring handle on which the study was conducted complies with the specifications in ISO10068:2012 for translatory excitations. To calibrate the handle for rotational excitation, a calibration function was calculated by exciting the handle with different weights. The excitation was a multisine with frequencies between 10 to 500 Hz in 5 Hz increments. Between 10 to 30Hz the amplitude of the multisines angular acceleration in the frequency domain are linearly increased from 20 to 100rad/s². From 30 to 500Hz to amplitude of the angular acceleration is at each frequency of the multisine 100rad/s². The acquisition time of each measurement is 16.5 sec, for the evaluation the data is cutted to exclude the first 2 sec and the last 3.5 sec. The data set for translatory excitation in zh-direction is published as: DOI: 10.35097/uwz0qdyzh8h8uekw KITopen-ID: 1000181216
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces for Rotatory Excitation around the zh-Axis
Im Schuljahr 2021/22 wurde im elften Jahr in Folge im Rahmen von BERLIN HAT TALENT die physische Fitness von Berliner Drittklässlerinnen und Drittklässlern mit Hilfe des Deutschen Motorik-Tests (Bös et al., 2016) untersucht. Der Fokus lag dabei auf entwicklungsbezogenen und zeitlichen Trends der motorischen Leistungsfähigkeit sowie deren Auswirkungen auf die körperliche Gesundheit im Kindesalter in Berlin. In jedem der 11 Jahre erhielten ausgewählte ö?entliche Grundschulen aus den 12 Berliner Stadtbezirken von der Berliner Schulverwaltung ein schriftliches Angebot für die Teilnahme. Die Auswahl der zu untersuchenden DrittklässlerInnen erfolgte schulweise durch eine vom Landessportbund Berlin (LSB) und der Berliner Schulverwaltung beauftragte Projektgruppe, wobei der Umfang dieser Stichprobe von Jahr zu Jahr ausgebaut wurde. Insgesamt 75.945 Berliner DrittklässlerInnen (mehr als 300 Schulen) absolvierten in ? mit schriftlicher Einverständniserklärung ihrer Eltern ? die sportmotorischen Tests. Die Erhebung der sportmotorischen Leistungen wurde einer auf die Erhebung von Sportdaten spezialisierten Firma übertragen, die diese mit nahezu unverändertem Personal über die Jahre realisiert hat.
Processed micro-tomographic scan of the ant Formica gnava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
SBUV ozone measurements for O3as service (v1: zonal means and monthly means of total columns)
3D PRINTING OF POROUS POLYMERS via THIOL-ENE POLYMERIZATION_Fatma_Aslan
Processed micro-tomographic scan of the ant Solenopsis afrc-za06, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Materialien – Werkstoff- und Grenzflächenmechanik (IAM-MMI), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Raw data and Matlab codes behind the manuscript "Forecasting Friction Behavior Despite its Chaotic Nature"
Raw data and codes to manuscript "Forecasting Friction Behavior Despite its Chaotic Nature"
Processed micro-tomographic scan of the ant Mycetophylax faunulus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
There are two ways to reproduce the graph generation experiments: 1. Unpack the archive hyperbolic-scripts.zip, run the python script download-install.py, followed by the script experiment-plot.py. Install any missing dependencies, rerun if necessary. 2. Use "docker load hyperbolic-image.tar" to load the image and "docker run hyperbolic-reproducibility" to run it. After the experiments are completed, use docker save -o filesystem.tar. to save the filesystem of the docker image to a tarball, inspect the compiled plots in /app. Running all the experiments might take ~100 hours, 256 GiB of memory and 16 cores. The same methods apply to reproduce the experiments to partition protein graphs, with the script archive protein-scripts.zip and the docker image protein-image.tar. These experiments take about 3 hours and 4 GiB of memory. The experimental logs of the partitioning with balanced k-means are found in the archive Geographer-comparison-log-files.tar.gz.
The corresponding dissertation contains several types of experiments. The graph generation experiments were conducted on a shared-memory machine with 16 cores. To reproduce these experiments, this package contains a docker image. For the experiments regarding large-scale graph partitioning, we used phase 1 of the SuperMUC cluster, including tens of thousands of cores. For this set of experiments, we do not include a script to reproduce it, as the original computing environment is no longer available and the experimental pipeline depends on details of the system setup, making an automated reproduction difficult. Instead, we offer the output logs and summarized data of our experiments.
Digital Artefacts and Appendix for the Dissertation of Moritz v. Looz
Computational Materials Science (IAM-CMS), Karlsruher Institut für Technologie (KIT)
# Experimental Data for the Paper "An Empirical Evaluation of Constrained Feature Selection" These are the experimental data for the paper> Bach, Jakob, et al. "An Empirical Evaluation of Constrained Feature Selection" accepted at the journal [*SN Computer Science*](https://www.springer.com/journal/42979). Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` [CPU](https://www.amd.com/en/products/cpu/amd-epyc-7551) (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The Python version was `3.8`. Our paper contains two studies, and we provide data for both of them. Running the experimental pipeline for the study with synthetic constraints (`syn_pipeline.py`) took several hours. The commit hash for the last run of this pipeline is [`acc34cf5d2`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/acc34cf5d22b0a8427852a01288bb8b34f5d8c98). The commit hash for the last run of the corresponding evaluation (`syn_evaluation.py`) is [`c1a7e7e99e`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/c1a7e7e99e56c1a178a602596c13641d7771df0a). Running the experimental pipeline for the case study in materials science (`ms_pipeline.py`) took less than one hour. The commit hash for the last run of this pipeline is [`ba30bf9f11`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/ba30bf9f11703e2a8a942425e2cd4b9f36ead513). The commit hash for the last run of the corresponding evaluation (`ms_evaluation.py`) is [`c1a7e7e99e`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/c1a7e7e99e56c1a178a602596c13641d7771df0a). All these commits are also tagged. In the following, we describe the structure/content of each data file. All files are plain CSVs, so you can read them with `pandas.read_csv()`. ## `ms/` The input data for the case study in materials science (`ms_pipeline.py`). Output of the script `prepare_ms_dataset.py`. As the raw simulation dataset is quite large, we only provide a pre-processed version of it (we do not provide the input to `prepare_ms_dataset.py`). In this pre-processed version, the feature and target parts of the data are already separated into two files: `voxel_data_predict_glissile_X.csv` and `voxel_data_predict_glissile_y.csv`. In `voxel_data_predict_glissile_X.csv`, each column is a numeric feature. `voxel_data_predict_glissile_y.csv` only contains one column, the numeric prediction target (reaction density of glissile reactions). ## `ms-results/` Only contains one result file (`results.csv`) for the case study in materials science. Output of the script `ms_pipeline.py`, input to the script `ms_evaluation.py`. The columns of the file mostly correspond to evaluation metrics used in the paper; see Appendix A.1 for definitions of the latter. - `objective_value` (float): Objective `Q(s, X, y)`, the sum of the qualities of the selected features. - `num_selected` (int): `n_{se}`, the number of selected features. - `selected` (string, but actually a list of strings): Names of the selected features. - `num_variables` (int): `n`, the total number of features in the dataset. - `num_constrained_variables` (int): `n_{cf}`, the number of features involved in constraints. - `num_unique_constrained_variables` (int): `n_{ucf}`, the number of unique features involved in constraints. - `num_constraints` (int): `n_{co}`, the number of constraints. - `frac_solutions` (float): `n_{so}^{norm}`, the number of valid (regarding constraints) feature sets relative to the total number of feature sets. - `linear-regression_train_r2` (float): `R^2` (coefficient of determination) for linear-regression models, trained with the selected features, predicting on the training set. - `linear-regression_test_r2` (float): `R^2` (coefficient of determination) for linear-regression models, trained with the selected features, predicting on the test set. - `regression-tree_train_r2` (float): `R^2` (coefficient of determination) for regression-tree models, trained with the selected features, predicting on the training set. - `regression-tree_test_r2` (float): `R^2` (coefficient of determination) for regression-tree models, trained with the selected features, predicting on the test set. - `xgb-linear_train_r2` (float): `R^2` (coefficient of determination) for linear XGBoost models, trained with the selected features, predicting on the training set. - `xgb-linear_test_r2` (float): `R^2` (coefficient of determination) for linear XGBoost models, trained with the selected features, predicting on the test set. - `xgb-tree_train_r2` (float): `R^2` (coefficient of determination) for tree-based XGBoost models, trained with the selected features, predicting on the training set. - `xgb-tree_test_r2` (float): `R^2` (coefficient of determination) for tree-based XGBoost models, trained with the selected features, predicting on the test set. - `evaluation_time` (float): Runtime (in s) for evaluating one set of constraints. - `split_idx` (int): Index of the cross-validation fold. - `quality_name` (string): Measure for feature quality (absolute correlation or mutual information). - `constraint_name` (string): Name of the constraint type (see paper). - `dataset_name` (string): Name of the dataset. ## `openml/` The input data for the study with synthetic constraints (`syn_pipeline.py`). Output of the script `prepare_openml_datasets.py`. We downloaded 35 datasets from [OpenML](https://www.openml.org) and removed non-numeric columns. Also, we separated the feature part (`*_X.csv`) and the target part (`*_y.csv`) of each dataset. `_data_overview.csv` contains meta-data for the datasets, including dataset id, dataset version, and uploader. **Licensing** Please consult each dataset's website on [OpenML](https://www.openml.org) for licensing information and citation requests. According to OpenML's [terms](https://www.openml.org/terms), OpenML datasets fall under the [CC-BY](https://creativecommons.org/licenses/by/4.0/) license. The datasets used in our study were uploaded by: - Jan van Rijn (user id: 1) - Joaquin Vanschoren (user id: 2) - Rafael Gomes Mantovani (user id: 64) - Tobias Kuehn (user id: 94) - Richard Ooms (user id: 8684) - R P (user id: 15317) See `_data_overview.csv` to match each dataset to its uploader. ## `openml-results/` Result files for the study with synthetic constraints. Output of the script `syn_pipeline.py`, input to the script `syn_evaluation.py`. One result file for each combination of the 10 constraint generators and the 35 datasets, plus one overall (merged) file, `results.csv`. The columns of the result files are the those of `ms-results/results.csv`, minus `selected` and `evaluation_time`; see above for detailed descriptions.
These are the experimental data for the paper> Bach, Jakob, et al. "An Empirical Evaluation of Constrained Feature Selection" published at the journal [*SN Computer Science*](https://www.springer.com/journal/42979). You can find the paper [here](https://doi.org/10.1007/s42979-022-01338-z) and the code [here](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection). See the `README` for details. Some of the datasets used in our study (which we also provide here) originate from [OpenML](https://www.openml.org) and are CC-BY-licensed. Please see the paragraph `Licensing` in the `README` for details, e.g., on the authors of these datasets.
Experimental Data for the Paper ''An Empirical Evaluation of Constrained Feature Selection"
The archive includes two datasets. The dataset of 20,000 synthetic images was generated for the neural-network training. Filename structure: [sequence number]-[edge class]-[line width in mpx]-[SD in mpx]-[contrast level]-[noise level]. The dataset of 200 natural images was collected to test pre-trained model. Filename structure: [line type, code]-[line width in nm]-[SD in nm]-[pixel density in mpx/mm]. Pixel density is reciprocal to the image resolution. Line type and code structure: [diw/ijp]: direct-written or inkjet-printed line, [first number]: sequence number, [a/b]: printed line or interline space, [last number]: 0 - original image, 1 - vertically mirrored and gamma-corrected image, 2 - horizontally mirrored and gamma-corrected image, 3 - 180° rotated and gamma-corrected image, 4 - solely gamma-corrected image. Gamma correction was randomly set in the range [0.5, 1.5].
Conventional optical measurement techniques are beneficial in manufacturing processes due to their fast and non-intrusive operation. However, they require sophisticated and expensive equipment as well as increased personnel qualification. While the integration of machine learning contributes to alleviating these requirements, it needs a time-consuming and tedious preparation of training datasets. We introduce a twin concept to conduct rapid measurement of various geometrical properties of printed lines using deep learning. For the first time, a tedious collection and assessment of training data is substituted by synthetic generation of digital samples, which enables flexible, fast, and precise data processing. A full-field analysis of a non-preprocessed image conducted by a neural network facilitates measurement of multiple geometrical properties of an object at once. Corresponding network architecture, workflows, and metrics are outlined. The application area of the concept is demonstrated, but not limited to the field of functional printing. The method can easily be tailored to a wide range of engineering fields.
Natural and synthetic datasets for rapid deep-learning-based optical measurement of printed linear structures
Erzeugung und Verwendung von Anwendungswissen in der industriellen Computertomographie (Daten)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0008, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0008 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2009 - 2018
Processed micro-tomographic scan of the ant Cerapachys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Double emulsions show great potential for encapsulating active substances and protecting them against external influences. However, due to their complex structure, double emulsions tend to become unstable during storage. Research on double emulsions therefore focuses on maintaining their microstructure during their shelf life. Optical measurement methods such as Raman spectroscopy have hardly been used to date to analyze the microstructure of double emulsions mainly due to multiple scattering effects. This study concentrates on reducing scattering effects by matching the refractive indices of the individual emulsion phases. Double emulsions with adapted refractive indices are investigated using Raman spectroscopy. The refractive indices of the inner and outer water phases are varied, while the refractive index of the oil phase is kept constant. In order to evaluate the signal of the inner water phase the same amount of tracer is present in all inner phases. For individual phase boundaries of single droplets, the refractive index matching plays a minor role. However, if there are many droplets with correspondingly numerous phase boundaries, which leads to multiple scattering during the measurement, the matching has a significant influence on the signal strength of the inner phase. When measuring double emulsions, the phases should always be matched if possible, as this results in higher signals. This in turn improves the sensitivity of the measurement.
There are seven different files: 1-5: "Auswertung_16%AN" ... "Auswertung_61%AN" Those files contain all spectroscopic raw data from the experiments and the baseline correction for the ammonium nitrate peak for each measurement Tab "Rohdatenpython": A phython programm imports the spectroscopic data from txt.files to excel (simple copy&paste) Tab "Rohdaten": Data are copied from Rohdatenphyton to this tab. Negative wavenumbers (-88 till -1) are deleted Tab "Auswertung 1.2": Integral of each ammonium nitrate peak is caluclated Tab "Auswertung 2": Summary of all peaks including x-y-diagramm, which shows the linearity between the measurements 6: "Gesamtauswertung": Tab "Diagramm_W1": Diagramm of W1-Matching Tab "Diagramm_W2": Diagramm of W2-Matching Tab "Gesamt": Summary of the measured data (Tab 16%AN ... 61%AN), refractive indizes, linearity of glycerol. It is mentioned, which data is used for which figure/table Tab "Diagramm_Residuen_W2": Residuen as function of W2-Matching Tab "Diagramm_Residuen_W1": Residuen as function of W1-Matching Tab "Multiple lineare Regression": Calculation of the mlr and residues Tab "16%AN" ... "61%AN": Copy of the tabs "Auswertung2" 7. "Spectra_Fig1": All spectroscopic raw data and diagrams regarding the substance system
Influence of refractive index differences on the signal strength for Raman-spectroscopic measurements of double emulsion droplets
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
sample desired composition / at% number Au Cu Ni Pd Pt Au_Ni_CuPdPt series 236 0.0 25.0 25.0 25.0 25.0 237 2.5 25.0 22.5 25.0 25.0 238 5.0 25.0 20.0 25.0 25.0 239 15.0 25.0 10.0 25.0 25.0 240 10.0 25.0 15.0 25.0 25.0 241 7.5 25.0 17.5 25.0 25.0 242 20.0 25.0 5.0 25.0 25.0 243 25.0 25.0 0.0 25.0 25.0 Ni_Pt_AuCuPd series 248 25.0 25.0 0.0 25.0 25.0 249 25.0 25.0 5.0 25.0 20.0 250 25.0 25.0 10.0 25.0 15.0 251 25.0 25.0 15.0 25.0 10.0 252 25.0 25.0 20.0 25.0 5.0 253 25.0 25.0 25.0 25.0 0.0 subfolder designations XRD: X-ray diffraction patterns with 2Theta angle in ° and intensity SEM: Backscatter electron contrast micrographs microhardness: Data on several indents to obtain HV0.2, incl. indent position, indent size in µm, magnification, indentation time, etc. compressiontest: Data on compression tests incl. force and strain or machine-corrected position APT: Atom probe tomography data according to Cameca standards
Research data from "Solid solution strengthening in single-phase Au-Cu-Ni-Pd-Pt-based high-entropy alloys"
Single cell simulations of KCNQ1 mutants using human myocyte models. Use external/runAll.py to launch all simulations.
Single human myocyte simulations of KCNQ1 mutants (v1.0)
Processed micro-tomographic scan of the ant Solenopsis afrc-za05, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma muticum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph emd - Velo
Precipitate-mediated enhancement of mechanical and electrical properties in HPTE-processed Al–Mg–Si alloy
The folder includes a set of RapidMiner processes that allow the reconstruction of the analysis presented in the dissertation.
This dataset provides pixel-wise annotations of photovoltaic (PV) systems at a spatial resolution of 0.2 m, distinguishing between rooftop PV (RTPV) and ground-mounted PV (GMPV). Two types of labels are included: (1) automatic annotations, available only for the state of Hesse, derived from geospatial sources; and (2) manually curated annotations for selected areas in Hesse and North Rhine-Westphalia (NRW), produced using high-resolution orthoimagery from Hesse and openNRW. The label data are provided without imagery, enabling integration with arbitrary remote sensing sources for applications such as PV detection and segmentation. The automatic annotations were generated using geospatial sources including OpenStreetMap (OSM), the Official Topographic-Cartographic Information System (ATKIS), and data from the Leibniz Institute of Ecological Urban and Regional Development (IOER) in Dresden. After merging these sources, GMPV installations were supplemented with data from Manske, D. (2025), “Geo-locations and System Data of Renewable Energy Installations in Germany,” Zenodo. doi:10.5281/zenodo.14627853.
The dataset is distributed as GeoTIFF files, each named according to its corresponding orthoimage tile. For manually annotated labels, the final segment of the file name indicates the reference year of the source imagery. All data are projected in EPSG:25832 (ETRS89 / UTM zone 32N). Raster pixel values are encoded as follows: 0 for background, 1 for RTPV, and 2 for GMPV. The corresponding aerial imagery can be downloaded from the following sources: for Hesse: Digitales Orthophoto © Hessisches Landesamt für Bodenmanagement und Geoinformation (HVBG), 2021/22. (https://gds.hessen.de) for NRW: Geobasis NRW - Open Data © Digitale Geobasisdaten NRW, Ministerium für Heimat, Kommunales, Bau und Digitalisierung des Landes Nordrhein-Westfalen, 2021/22/23/24 (https://open.nrw/dataset/)
Photovoltaic Systems: Reference Data on Rooftop and Ground-Mounted Installations
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Test split
The data in the Excel files are related to the publication Jiang et al., ACP, 2022. Each sheet of the Excel files corresponds to one plot in the publication as repeated below. The data originates mainly from Aqualog and FIGAERO-CIMS measurements. The figures and captions from the publication are shown in the following to allow for a good understanding of the data files. Jiang, F., Song, J., Bauer, J., Gao, L., Vallon, M., Gebhardt, R., Leisner, T., Norra, S., and Saathoff, H.: Chromophores and chemical composition of brown carbon characterized at an urban kerbside by excitation-emission spectroscopy and mass spectrometry, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-465, in review, 2022.
Chromophores and chemical composition of brown carbon characterized at an urban kerbside by excitation-emission spectroscopy and mass spectrometry
Accompanying data for the first publication on the TEEMLEAP weather forecasting testbed
The dataset contains (1) output data from numerical experiments with the TEEMLEAP testbed, which are displayed in the figures of the referenced manuscript; and (2) exemplary input data for the generation of pseudo-radiosounding profiles from ERA5 reanalysis data and the calculation of proper observation perturbations for experiments with the TEEMLEAP testbed. The corresponding code publication is referenced above as well.
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" (Version 3)
ASCII tables of experimental curves and Figures in PPT Presenations
Powders of multidomain magnetite were subjected to fatigue-related cyclic loading at ambient conditions between 30 and 500°C using a dynamical mechanical analysis system. The mechanical losses, tan δ, are sensitive to the loading frequency and correlate with decreasing coherent crystallite size of the magnetite and its lattice distortion. While the selected loading frequencies are similar to those observed during earthquake propagation, the observed signatures of magnetic fatigue are discussed towards understanding the physics of natural and human-induced seismic events.
Magnetic fatigue : Effect of seismic-related loading on magnetic and structural behavior of magnetite
Original Doppler lidar measurements from the Doppler lidar Lockheed Martin WindTracer WTX located at Villingen-Schwenningen, Germany (48.0563°N, 8.487°E) during the Swabian MOSES 2023 field campaign from June to August 2023. A system signal failure occurred between 10th and 14th June 2023.
Doppler lidar measurements from Villingen-Schwenningen, Swabian MOSES 2023, Level 0 netCDF files
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0041, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0041 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Polymersome Project_Fluorescence response curves dataset.xlsx
data are stored in an project of origin lab format
Research on charge-density-wave (CDW) ordered transition-metal dichalcogenides continues to unravel new states of quantum matter correlated to the intertwined lattice and electronic degrees of freedom. Here, we report an inelastic x-ray scattering investigation of the lattice dynamics of the canonical CDW compound 2H-TaSe2 complemented by angle-resolved photoemission spectroscopy and density functional perturbation theory. Our results rule out the formation of a central-peak without full phonon softening for the CDW transition in 2H-TaSe2 and provide evidence for a novel precursor region above the CDW transition temperature TCDW, which is characterized by an overdamped phonon mode and not detectable in our photoemission experiments. Thus, 2H-TaSe2 exhibits structural before electronic static order and emphasizes the important lattice contribution to CDW transitions. Our ab-initio calculations explain the interplay of electron-phonon coupling and Fermi surface topology triggering the CDW phase transition and predict that the CDW soft phonon mode promotes emergent superconductivity near the pressure-driven CDW quantum critical point.
Precursor region with full phonon softening above the charge-density-wave phase transition in 2H-TaSe$_2$
A T-matrix Based Approach to Homogenize Artificial Materials
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for more than a year under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. The dataset includes result data (such as the remaining usable capacity or impedance measured in check-ups) and raw data (i.e., measurement logs with two-second resolution). The data can be used in a wide range of applications, for example, to model battery degradation, gain insight into lithium plating, optimize operation strategies, or test battery impedance or state estimation algorithms using machine learning or Kalman filtering.
The data is described in detail in the open-access publication "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell" published in Nature Scientific Data under the DOI: 10.1038/s41597-024-03831-x, also see “Related identifier”. An updated dataset is published under the DOI 10.35097/1969 (result data, e.g., capacity fade and impedance increase) and 10.35097/kww7jv8ajuvchcah (log data), also see “Related identifier”. Python example code to read, process, and visualize the data is provided in the GitHub repository: https://github.com/energystatusdata/bat-age-data-scripts/ Note: The "cell_eisv2.zip" file in this dataset is incomplete and only contains data for cells P001_1 to P044_2. The corrected file "cell_eisv2_fixed.zip" containing data for all 228 cells P001_1 to P076_3 can be found in the dataset “Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"” with the DOI 10.35097/krk531nmj4bsshha (see “Related identifier”).
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]
International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
Worldwide, rice production contributes about 10% of total greenhouse gas (GHG) emissions from the agricultural sector, mainly due to CH4 emissions from continuously flooded (CF) fields. Alternate Wetting and Drying (AWD) is a promising crop technology for mitigating CH4 emissions and reducing the irrigation water currently being applied in many of the world's top rice-producing countries. However, decreased emissions of CH4 may be partially counterbalanced by increased N2O emissions. In this case study for the Philippines, the national mitigation potential of AWD is explored using the process-based biogeochemical model LandscapeDNDC. Simulated mean annual CH4 emissions under conventional rice production for the time period 2000 - 2011 are estimated as 1,180163 Gg CH4 yr-1. During the cropping season, this is about +16% higher than a former estimate using emission factors. Scenario simulations of nationwide introduction of AWD in irrigated landscapes suggest a considerable decrease of CH4 emissions by -23%, while N2O emissions are only increased by +8%. Irrespective of field management, at national scale the radiative forcing of irrigated rice production is always dominated by CH4 (>95%). The reduction potential of GHG emissions depends on, e.g., number of crops per year, residue management, amount of applied irrigation water and sand content. Seasonal weather conditions also play an important role, since the mitigation potential of AWD is almost double as high in dry as compared to wet seasons. Furthermore, this study demonstrates the importance of temporal continuity, considering off-season emissions and the long-term development of GHG emissions across multiple years.
Rice production systems, Alternate Wetting and Drying, Greenhouse gas emissions, Inventories, Biogeochemical modelling
Greenhouse Gas Mitigation Potential of Alternate Wetting and Drying for Rrice Production at National Scale – A Modelling Case Study for the Philippines
Processed micro-tomographic scan of the ant Pachycondyla javana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 200°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 200°C dataset
Processed micro-tomographic scan of the ant Strumigenys elegantula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 100 h of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 100 h of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 100 h
This repository contains the datasets used in the study "Ice nucleation ability of ammonium sulfate aerosol particles internally mixed with secondary organics"by Bertozzi et al. (2021) in Atmospheric Chemistry and Physics (ACP). Metadata are stored as headers in each file.
Data sets for the research article "Ice nucleation ability of ammonium sulfate aerosol particles internally mixed with secondary organics" by Bertozzi et al. (2021) in Atmospheric Chemistry and Physics (ACP)
Processed micro-tomographic scan of the ant Crematogaster cf levior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Terataner luteus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus hastatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
- thesis.zip: only the data - thesis-docker.tar.xz: data and software as exported Docker container - thesis.sif.xz: data and software as Apptainer container - Thesis_Daniel_Hauck.pdf: digital version of the thesis - donut.gif: animation referenced in chapter 2
Software used in the referenced thesis. For more details, see the README.md file included in all formats.
To use Docker container: docker load thesis-docker.tar.xz To use Apptainer container: xz -d thesis.sif.xz; apptainer run --no-home -w thesis.sif
Data for Thesis: Magnetic 2π Domain Walls for Tunable Majorana Devices
The data includes the sustainability reports for the DAX40 companies used in the study for the three years of the study period. Additionally, the description text from the official SDG website are included.
Reading Between the Green Lines: A Framework for Scalable Greenwashing Detection - Data Set
Data from CORONA campaign taking place from 2021-04-09 - 2021-04-29 at KIT Campus North. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
This archive contains data presented in the manuscript “From Sea to Sky: Understanding the sea surface temperature impact on an atmospheric blocking event using sensitivity experiments with the ICOsahedral Nonhydrostatic (ICON) model” published in Weather and Climate Dynamics (Svenja Christ, Marta Wenta, Christian M Grams, and Annika Oertel, 2024, DOI: ). For this sensitivity study five simulations with the ICON model were conducted and analysed, whereby each experiment uses different prescribed sea surface temperature (SST) conditions. This data set contains (i) the initial SST fields of each experiment, and (ii) the warm conveyor belt (WCB) trajectory data from the ICON simulations of each experiment. For details on the SST initial fields, ICON simulations, and trajectory data, please refer to the original publication.
The data are in netCDF format and contain the following: (i) Global sea surface temperatures (SST, in K) for each experiment. The unperturbed SST originates from the OSTIA analysis and is used in the ECMWF IFS analysis on the 18. February 2019 at 00 UTC. The SST fields are remapped to the global unstructured ICON grid R03B07 (EXP000 – CNTRL). The five experiments include the following modifications to the original SST field: EXP000 – CNTRL: Original SST fields, remapped to ICON grid. EXP001 – IDEA: In this experiment, the SST field is smoothed with a Gaussian filter in the Gulf Stream region (80 to 25°W and 30 to 55°N). Thereby the SST front’s small-scale eddies are removed. EXP002 – WEAK: The SST gradient in the Gulf Stream region (80 to 25°W and 30 to 55°N) is reduced. EXP003 – P1.5K: The SST in the Gulf Stream region (80 to 25°W and 30 to 55°N) is increased by 1.5 K, while the SST gradient from IDEA in the Gulf Stream region is maintained. EXP004 – extWEAK: The SST gradient in the Gulf Stream region (80 to 25°W and 30 to 55°N) is strongly weakened, and the SST transitions gradually and cools progressively from the equator towards the higher latitudes. More detailed modifications of SST are described in detail in the publication and figures of the resulting SST and SST gradient fields are provided in the publication as well (Fig. 1). EXP000 – CNTRL (ifs_remap_R03B07_G_2019021800_EXP000.nc) EXP001 – IDEA (ifs_remap_R03B07_G_2019021800_EXP001.nc) EXP002 – WEAK (ifs_remap_R03B07_G_2019021800_EXP002.nc) EXP003 – P1.5K (ifs_remap_R03B07_G_2019021800_EXP003.nc) EXP004 – extWEAK (ifs_remap_R03B07_G_2019021800_EXP004.nc). (ii) warm conveyor belt (WCB) trajectory data of the five CON simulations are contained in the following data sets: EXPID_YYYYMMDD_HH.nc. WCB trajectories are started from a 50 km equidistant horizontal grid spanning the North Atlantic region between 80 to 25°W and 30 to 55°N. They are initiated from 10 chosen vertical levels within the lower-most 2 km, specifically at altitudes of 50, 200, 400, 600, 800, 1000, 1250, 1500, 1750, and 2000 m. The date in the file names (YYYYMMDD_HH) refers to the trajectory start time. WCBs are defined as trajectories with at least 500 hPa ascent in 48 h. WCB air parcel positions and characteristics are provided every 3-h. Variables traced along WCB trajectories are: time (in hours, relative to trajectory start), lon and lat (in °): air parcel longitude and latitude positions, z: air parcel altitude (in meter above sea level), P: pressure (in hPa), t_seasfc: SST (in K; this presents a 2D field traced along the lon/lat positions of WCB air parcels), lhfl_s: latent head flux (in W m-2; 2D field; negative fluxes are defined as upward fluxes), shfl_s: sensible heat flux (in W m-2; 2D field; negative fluxes are defined as upward fluxes), pres_msl: mean sea level pressure (in Pa; 2D field), pv: Potential vorticity (in pvu), temp: temperature (in K), qc: specific cloud water content (in g kg-1), qi: specific cloud ice content (in g kg-1), qr: rain mixing ratio (in g kg-1), qs: snow mixing ratio (in g kg-1), qv_1: specific humidity (in g kg-1).
Research data for "Understanding the sea surface temperature impact on an atmospheric blocking event using sensitivity experiments with the ICOsahedral Nonhydrostatic (ICON) model"
Processed micro-tomographic scan of the ant Strumigenys auctidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the preprint "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data" by Maximilian Ruff The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Figure 1: Run "run_alpha3.py" Figure 2: Run "run_alpha4.py" Figure 3: Run "run_alpha5.py" Parts of the code relies on on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189 .
Numerical experiments to "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data"
Institut für Nanotechnologie, Helmholtz-Institut Ulm, Karlsruhe Nano Micro Facility
The development of commercially viable fuel cells and metal air batteries requires effective and cheap bifunctional catalysts for the oxygen reduction reaction (ORR) and the oxygen evolution reaction (OER). Multi-component Pt-Fe-Co-Ni nanoparticles on multi-walled carbon nanotubes (MWCNTs) were synthesized by wet chemistry route via NaBH4 reduction of metal salts, followed by sintering at different temperatures. The catalyst demonstrates an excellent ORR activity and a promising OER activity in 0.1 m KOH, with a bi-functional overpotential, ΔE of 0.83 V, which is comparable to the values of Pt/C or RuO2. Furthermore, it shows outstanding long-term stability in ORR and OER, namely diffusion limited current density at a potential of 0.3 V decreased just by 5.5% after 10000 cycles in ORR. The results of the PFCN@NT300 indicate a significant effect of the substitution of Pt by the transition metal (TM) and the formation of nanoparticles on the catalytic performance, especially in the OER.
TEM data in Velox and Digital Micrograph format, XPS data in CASA format, TGA as text file, XRD as text file with angle and intensity.
Multi-Component PtFeCoNi Core-Shell Nanoparticles on MWCNTs as Promising Bifunctional Catalyst for Oxygen Reduction and Oxygen Evolution Reactions
Processed micro-tomographic scan of the ant Camponotus blandus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Towards in-situ diagnostics of multi-photon 3D laser printing by optical coherence tomography
Processed micro-tomographic scan of the ant Odontomachus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains the data of the paper.
Modification of Al surface via acidic treatment and its impact on plating and stripping
Synchrotron X-ray microtomographic data of a copulating pair of Cassida rubiginosa leaf beetles analyzed in Matsumura et al. 2025. Two original tomograms were converted to 8 bit and merged into a single volumetric image.
Micro-CT data of copulating Cassida rubiginosa beetles
Processed micro-tomographic scan of the ant Fulakora armigera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Laboratorium für Applikationen der Synchrotronstrahlung (LAS), Karlsruher Institut für Technologie (KIT)
These Codes have been developed to calibrate the Friction Force Measurements with Dimension Icon AFM (Bruker) and FlexFM (Nanosurf) based on the calibration method by Andersen et al.. The basic codes can also be used to readout data by these machines and analyze in Python.
Codes for Calibration of Friction Force Measurements
Experimental Details: All electrochemical measurements were conducted in a three-electrode. As a working electrode, a planar silver rotating disk electrode (surface area A = 0.1963 cm²), and as counter electrode, a spiral platinum wire was used. All potentials were measured and plotted against a reversible hydrogen electrode reference electrode (RHE). The potentials were corrected for uncompensated resistance afterward. The electrolyte was purged with CO₂ for 15 min before starting the experiment to ensure saturation with CO₂. Cyclic voltammetry was performed in a potential window of -0.5 to -2.0 V vs. RHE with rotation speeds between 50 and 150 rpm and between -0.5 to -2.5 V vs. RHE for 300 rpm. The scan rate of the potential sweep was set to values of 50, 100, 200 and 300 mV/s. The number of cycles was eight for each scan rate to guarantee a quasi-steady state. In the figures, only the last cycle is displayed. The stationary polarization curve was measured by holding a constant potential for 200 s. The step size of the applied potential was 0.1 V. The uncompensated resistance was measured after each holding time. Figures show the corrected mean potential and mean error, determined from the last 20 s of each measured potential. Numerical Details: The model was implemented in MATLAB R2020b, and differential equations were solved with ode15s solver. Spatial discretization was done with an equidistant grid and applying finite volume method and central differential quotients. Grid size was set to a value of Δx=1 µm and convergence of the solution regarding grid parameters was confirmed as refining the parameters lead to no visual changes of the cyclic voltammograms and concentration profiles. The system was initialized by holding the starting potential of -0.5 V, where no significant electrochemical reactions take place, until a stationary state was reached. Initial surface coverages and initial potential of the electrode were adapted from the stationary state. Initial concentrations were set to electrolyte bulk concentrations, where equilibrium of carbonate species and dissolved CO₂ is adjusted. For more information about experimental details, see Experimental Section in the manuscript. For more information about experimental details and the model, see Method section in the manuscript.
Dynamic vs. Stationary Analysis of Electrochemical Carbon Dioxide Reduction: Strong Differences in Local State
Satellite-based fog and low stratus cloud formation and dissipation times data set over the Namib Desert
Processed micro-tomographic scan of the ant Pseudomyrmex termitarius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia natalensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Wasmannia aeropunctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Images including *_ in the name are rotated by 90°. This originates from the process of image acquisition and does not harm the quality of the dataset but can be seen as a data augmentation technique. This can be reversed. Images with "N" in the file name are images without defect whereas images with "P" in the file name are images showing Pittings.
The dataset contains of 21835 150x150 Pixel RGB images of the surface of Ball Screw Drives. 11075 of these images are images without surface defects whereas the rest shows images with surface defects in form of so called pittings. So the dataset is evenly split over the classes. Pittings result from surface disruption and can ultimately lead to the breakdown of the component. To keep the availability of machines high it is important to find surface defects in time. The here presented dataset gives researchers and practitioners the possibility to train and test models for the classification of surface defects on machine tool elements.
Ball Screw Drive Surface Defect Dataset for Classification
Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Supplementary material for "Performance-Detective: Automatic Deduction of Cheap and Accurate Performance Models" (DOI 10.1145/3524059.3532391) # Step 1: System analysis We provide the processed JSON output of Perf-Taint for the Pace3D and Kripke case studies, as well as the bitcode of Kripke used as input of Perf-Taint. Because Pace3D is closed source, we cannot provide the source code to reproduce the analysis results. # Step 2: Experiment design We provide scripts that: * check the output of Perf-Taint for parameters not interacting with each other, * detect iteration parameters potentially linearly influencing the runtime of the calculation * check the coefficient of variation of single iterations to confirm the linear influence # Step 3: Instrumented experiments We provide the profiles of all measurements conducted for the training points. For Pace3D, we had to add one function to the instrumentation filter manually because of a bug in Score-P: Functions declared as static inline inside a header file which are then called from different translation units are not instrumented correctly by Score-P. Thus, the resulting profiles are incorrect. However, we can work around this bug by including the function calling the static inline function. ## Training Data Pace3D ### Training Data Performance-Detective Performance-Detective derived a minimal experiment design with 25 configurations to be measured once, resulting in 25 measurements. The data for Extra-P is splitted into two folders that contain the same measurements that are labeled differently. As we did not implement modeling for the optimized subset, we later create two models (one using procs and vol, one using procs and cubes) and extract the model of each function from the respective model (depending on whether the functions relies on vol OR on cubes). The data for PIM is the same as in the Extra-P folder, just labeled with all the values measured. ### Training Data Full-Factorial 625 measurements for all possible combinations of the five values of procs, vol, and cubes. Each measurement was repeated 5 times. ### Training Data Plackett-Burman 49 samples selected using a random seed and 5 levels -- effectively a subset of the full-factorial measurements. Each measurement was repeated 5 times. ## Training Data Kripke ### Training Data Performance-Detective Performance-Detective derived a minimal experiment design with 5 configurations to be measured once, resulting in 5 measurements. The data for Extra-P is splitted into two folders that contain the same measurements that are labeled differently. As we did not implement modeling for the optimized subset, we later create two models (one for procs, one for dirsets) and extract the model of each function from the respective model (depending on whether the functions relies on procs OR on dirsets). However, for the single-parameter modeler, modeling based on dependencies from Perf-Taint is not yet implemented. Therefore, the measurements are labeled as two parameter-experiments following the policy detailed in the respective folder. The data for PIM is the same as in the Extra-P folder, just labeled with all the values measured. ### Training Data Full-Factorial 125 measurements for all possible combinations of the five values of procs and dirsets. Each measurements was repeated 5 times. ### Training Data Plackett-Burman 10 samples selected using a random seed and 5 levels -- effectively a subset of the full-factorial measurements. Each measurement was repeated 5 times. # Step 4: Modeling and Evaluation Data of each case study is in the respective folder. ## Evaluation Measurements Extra- and interpolated measurement data in the respective folder. ## Extra-P Contains script for calculating the model errors regarding extra- and interpolated evaluation measurements. ### Models Contains Extra-P models as well as a converter from Extra-P format to text (creates PerformanceModel.py), that is used in `calculate_model_errors.py`. It requires an installation of Extra-P to run. ## Performance-Influence Models We use the scripts by [Weber et al.](https://github.com/AI-4-SE/White-Box-Performance-Influence-Models/tree/main/supplementary-website/code/modeling), partly modified to account for the configurations of the case studies and modeling based on known dependencies to functions. ### Data Contains the data of the cubex files in csv format. Data is parsed with `create_csv_from_cubex.py`. ### Model errors Contains the csv files with the model errors of the respective models. Files are generated by `learn_method_level_model_with_deps.py` and `learn_method_level_without_deps.py`, respectively. # License The files `calculate_model_errors.py`, `extrap_to_text.py`, and `create_csv_from_cubex.py` are modified parts of the Extra-P Software (cf. [cube_file_reader2.py](https://github.com/extra-p/extrap/blob/master/extrap/fileio/cube_file_reader2.py) and the license file `LICENSE-BSD3-EXTRAP`). The files `learn_method_level_model_with_deps.py` and `learn_method_level_model_without_deps.py` are modified parts of the supplementary material of [Weber et al.](https://github.com/AI-4-SE/White-Box-Performance-Influence-Models/tree/main/supplementary-website/code/modeling). The license file `LICENSE-GPL-PIM` applies to these files.
Performance-Detective: Automatic Deduction of Cheap and Accurate Performance Models - Supplementary Material
Processed micro-tomographic scan of the ant Crematogaster pygmaea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis militaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis tipuna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die Datei im pdf-Format enthält eine Anleitung zum Bau des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD".
GUARD autosampler - Assembly instructions
Nachhaltigkeit – dieses Wort begegnet uns heute in nahezu allen Lebensbereichen. Nachhaltigkeit be-schreibt sowohl ein normatives Leitbild als auch ein praktisches Handlungskonzept. Als Leitidee verfolgt Nachhaltigkeit das ethische Prinzip eines verantwortungsbewussten Lebens für heute und morgen. Als Handlungskonzept geht es darum, konkrete Handlungsweisen zu entwickeln, die eine zukunftsfähige Gesellschaft und Umwelt auf den Weg bringen und gleichzeitig die dafür notwendigen Ressourcen erhal-ten und bereitstellen. Der Kerngedanke der Nachhaltigkeit lässt sich prägnant zusammenfassen: Wir dürfen heute nicht auf Kosten von morgen leben! Und zwar in sozialer, ökonomischer und ökologischer Hinsicht.
Processed micro-tomographic scan of the ant Gnamptogenys moelleri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Implementation and simulation data for the dissertation with the title 'Semi-Analytical Integration in Molecular Dynamics'. The 'Implementation' folder contains the implementations of the leapfrog chebychev and the trigonometric integrator in LAMMPS. The code only works when build with LAMMPS. For a detailed discription of the functionalities see Chapter 6 of the dissertation 'Semi-Analytical Integration in Molecular Dynamics'. The Simulation folder contains the input files for each simulation presented in the dissertation. There is a folder for each simulation with a README file specifying the usage.
Simulation data for 'Semi-Analytical Integration in Molecular Dynamics'
This data package contains all datasets required to reproduce the plots presented in the manuscript egusphere-2025-402. nfluence of Fire-Induced Heat and Moisture Release on Pyro-Convective Cloud Dynamics During the Australian New Year's Event: A Study Using Convection-Resolving Simulations and Satellite Data [ACP]
The folder 3dwinds includes height retrieval data from the NASA 3D Wind Algorithm, which is based on Himawari-8 and MODIS Level 1B in the blue band. Access to this algorithm was granted by Dr. James Carr (jcarr@carrastro.com) and is subject to his approval. The ICON-ART Raw Data of the model output files is zipped for three experiments: model_output_REF.tar.gz (REF), model_output_SH.tar.gz (SH), and model_output_SHLH.tar.gz (SHLH). The folder fire_input+domain includes the fire input file as it is read into the ICON-ART model, along with the model domain grid file. Additionally, the file fire_archive_M-C61_611434.csv contains MODIS active fire product data. The original dataset can be accessed via NASA FIRMS at https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/mcd14ml.
ICON-ART Simulations and Satellite Observations from Influence of Fire-Induced Heat and Moisture Release on Pyro-Convective Cloud Dynamics during the Australian New Year’s Event: A Study Using Convection-Resolving Simulations and Satellite Data (egusphere-2025-402)
Wissenschaftliche Zeitschrift der DHFK Leipzig (1985), Sonderheft 1, 109-139
Untersuchungen zum Sportabzeichenprogramm der DDR
Processed micro-tomographic scan of the ant Psalidomyrmex sallyae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset includes 29280 2D images taken from 3D µCT scans of carbon fiber reinforced polyamide 6. They were generated by augmenting (x4) and cutting (x4) of 1830 single 2D images resulting from 18 different specimens of 2 CFRP plaques. The images were used as training data for a generative adversarial network (GAN) which creates similar microstructural images. Please find details in the following publication: Blarr, J.; Klinder, S.; Liebig, W. V.; Inal, K.; Kärger, L.; Weidenmann, K. A.: Deep convolutional generative adversarial network for generation of computed tomography images of heterogeneous low-contrast microstructures. Nature Scientific Reports XXX (2024).
2D images of CT scans of carbon fiber reinforced polyamide 6
Processed micro-tomographic scan of the ant Pheidole cf biconstricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
(geometric) INAS density as a function of temperature and ice saturation ratio in m-2 as shown in Figures 2 and 4 in Ullrich et al. (2017)
INAS density values for desert dust and soot
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0004, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0004 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Myrmicinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
These are the experimental data for the paper> Ordoni, Elaheh, Jakob Bach, and Ann-Katrin Fleck. "Analyzing and Predicting Verification of Data-Aware Process Models -- a Case Study with Spectrum Auctions" Check our [GitHub repository](https://github.com/Jakob-Bach/Analyzing-Auction-Verification) for the code and instructions to reproduce the experiments. - `result[0-5].csv`: The output of the iterative verification procedure, input to `prepare_dataset.py` (which pre-processes and consolidates the dataset). - `auction_verification_large.csv`: The output of `prepare_dataset.py` (consolidated dataset), input to `run_experiments.py` (the experimental pipeline). - `prediction_results.csv`: The output of `run_experiments.py` (full numeric experimental results), input to `run_evaluation.py` (which prints statistics and creates the plots for the paper).
These are the experimental data for the paper> Ordoni, Elaheh, Jakob Bach, and Ann-Katrin Fleck. "Analyzing and Predicting Verification of Data-Aware Process Models--A Case Study With Spectrum Auctions" published by [*IEEE Access*](https://ieeeaccess.ieee.org/) in 2022. You can find the paper [here](https://www.doi.org/10.1109/ACCESS.2022.3154445) and the code [here](https://github.com/Jakob-Bach/Analyzing-Auction-Verification). See the `README` for details. From the raw experimental data, we also extracted and pre-processed a smaller dataset that is suitable for training prediction models. This prediction dataset is available under the name `Auction Verification` in the [UCI Machine Learning Repository](https://archive-beta.ics.uci.edu/ml/datasets/auction+verification).
Experimental data for the paper "Analyzing and Predicting Verification of Data-Aware Process Models -- a Case Study with Spectrum Auctions"
The TEM data can be open and analysis through Velox (Thermofisher).
Simultaneously improving sodium ionic conductivity and dendrite behaviour of NaSICON ceramics by grain-boundary modification
Research data corresponding to the publication "Search for alternative two-step-absorption photoinitiators for 3D laser nanoprinting".
Search for alternative two-step-absorption photoinitiators for 3D laser nanoprinting
Origin files corresponding to the figures of the paper extracted from the raw data files.
Enhanced Cycling Performance of VTe2 Cathode for Rechargeable Aluminum Batteries through Synergy between Ti3C2Tx MXene and Mesoporous Carbon-Modified Separators
Contents of the Repository The repository includes the following types of data: 1. Raw Data Electron Microscopy Data: 4D-STEM datasets in native file formats (*.dm4, *.mrc, or equivalent). Magnetic and Structural Maps: Data matrices representing the measured magnetic and strain fields, stored as .h5 or .csv files. 2. Processed Data Pixel-to-pixel correlation data between physical quantities. Figures and images presented in the publication (e.g., strain maps, magnetic field maps, and combined overlays). 3. Supplementary Data Source data for supplementary figures and tables. MATLAB/Python scripts used to analyze the data. 4. Metadata Information on experimental conditions, microscope parameters, and software versions. Calibration files used for the analysis.
Small adjustments in atomic configurations can significantly impact magnetic properties of matters. Strain, for instance, can alter magnetic anisotropy and enable fine-tuning of magnetism. However, the effects of these changes on nanoscale magnetism remain largely unexplored. In particular, when strain fluctuates at the nanoscale, directly linking structural changes with magnetic behavior poses a substantial challenge. Here, we develop a approach, LA-Ltz-4D-STEM, to simultaneously map structural information and magnetic fields at the nanoscale. This approach opens avenues for in-depth studying the structure-property correlation of magnetic materials on the nanoscale. We applied LA-Ltz-4D-STEM to simultaneously image strain, atomic packing, and magnetic fields in a deformed amorphous ferromagnet with complex strain variations at the nanoscale. An anomalous magnetic configuration near shear bands, which reside in a magnetostatically high-energy state, was observed. By performing pixel-to-pixel correlation of the different physical quantities across a large field of view, a critical aspect for investigating industrial ferromagnetic materials, the magnetic moments were classified into two distinct groups: one influenced by magnetoelastic coupling and the other oriented by competition with magnetostatic energy.
data for Large-angle Lorentz 4-Dimensional Scanning Transmission Electron Microscopy for Simultaneous Local Magnetic, Strain and Structure Mapping
Suppressing of an ordered state that competes with superconductivity is one route to enhance superconducting transition temperatures. Whereas the effect of suppressing magnetic states is still not fully understood, materials featuring charge-density waves and superconductivity offer a clearer scenario as both states can be associated with electron-phonon coupling. Metallic transition-metal dichalcogenides are prime examples for such intertwined electron-phonon-driven phases, yet, various compounds do not show the expected interrelation or feature additional mechanisms which make an unambiguous interpretation difficult. Here, we report high-pressure X-ray diffraction and inelastic X-ray scattering measurements of the prototypical transition-metal dichalcogenide 2H-TaSe2 and determine the evolution of the charge-density-wave state and its lattice dynamics up to and beyond its suppression at the critical pressure pc = 19.9(1) GPa and at low temperatures. The high quality of our data allows the full refinement of the commensurate CDW superstructure at low pressure and we find the quantum critical point of the CDW to be in close vicinity to the reported maximum superconducting transition temperature Tsc = 8.2 K. Ab-initio calculations corroborate that 2H-TaSe2 is a reference example of order-suppressed enhanced superconductivity and can serve as a textbook case to investigate superconductivity near a charge-density-wave quantum critical point.
Raw data from the x-ray diffraction experiment performed at the beamline ID15b at the European Synchrotron Radiation Facility (ESRF), France (DOI: 10.15151/ESRF-ES-902987807); selected cif files; data used to create Figures in publication; table with structural parameters for refinements
CDW quantum critical point under pressure in 2$H$-TaSe$_2$
data taken in an investigation of SrTiO3 using inelastic x-ray scattering
The continuous displacive phase transition in SrTiO$_3$ near $𝑇_c\approx105\,\rm{K}$ features a central elastic peak in neutron scattering investigations at temperatures above $𝑇_c$, i.e., before the corresponding soft phonon mode is overdamped upon cooling. The origin of this central peak is still not understood. Here, we report an inelastic x-ray scattering investigation of the cubic-to-tetragonal phase transition in SrTiO$_3$. We compare quantitatively measurements of the soft phonon mode on two differently grown samples and discuss the findings regarding results from thermodynamic probes such as specific heat and thermal conductivity. Furthermore, we use inelastic x-ray scattering to perform elastic scans with both high momentum- and milli-electronvolt energy-resolution and, thus, be able to separate elastic intensities of the central peak from low-energy quasielastic phonon scattering. Our results indicate that the evolution of the soft mode is similar in both samples though the intensities of the central peak differ by a factor of four. Measurements revealing anisotropic correlation lengths on cooling towards $T_c$, indicate that local properties of the crystals to which collective lattice excitations are insensitive are likely at the origin of the central elastic line in SrTiO$_3$.
Soft phonon and the central peak at the cubic-to-tetragonal phase transition in SrTiO$_3$
Electrochemical data: GCPL and CV measurements of Mo-foil, powder and Co3O4 coated on Mo-foil. ICP-OES: Measurement of dissolved Mo in AlCl3:EMImCl (1.5:1) ionic liquid electrolyte. NMR: 1H- and 13C-NMRs of pure ionic liquid electrolyte and after soaking of Mo. UV-VIS: Pure ionic liquid electrolyte and after soaking Mo, diluted with 1,2-Difluorobenzene. XPS: Survey and Mo spectra on Al-foil stopped at 0.3V. PPMS: Magnetic measurements of Mo-foil/powder, pure ionic liquid and after soaking Mo, which results in a change of color of the electrolyte.
Rechargeable aluminum batteries (RABs) using Lewis acidic aluminum chloride–1-ethyl-3-methylimidazolium chloride (AlCl3-EMImCl) ionic liquid electrolytes are promising alternative energy storage systems. Molybdenum (Mo), often used as a current collector, is typically considered stable with negligible redox activity in such electrolytes. However, this study shows that Mo reacts with AlCl3-EMImCl (1.5:1) electrolyte. When Mo-foil or powder is im-mersed, the initially colorless/yellowish ionic liquid turns red, indicating Mo dissolution. Magnetometry confirms the presence of Mo species with localized unpaired electrons in the red liquid, not found in metallic Mo. UV-VIS spec-troscopy reveals Mo3+ and Mo4+ species formation. ICP-OES shows 1.99±0.06 mass-% of Mo dissolves in the electro-lyte. Due to Mo’s instability, cyclic voltammetry (CV) and galvanostatic cycling with potential limitation (GCPL) show increasing redox activity over cycles, similar to unstable Platinum (Pt), with a discharge capacity of ~136 mAh.g-1 at 20 mA.g−1 after 100 cycles. X-ray photoelectron spectroscopy (XPS) indicates three oxidation states of Mo (Mo4+/5+/6+) on the aluminum negative electrode, due to Mo-cation migration and adsorption. Covering the Mo current collector with electrochemically inactive Co3O4 suppresses Mo reactivity by reducing active Mo surface area. These findings demonstrate Mo’s significant impact on AlCl3-based RABs’ electrochemical performance, which is not negligible.
Dissolution of Molybdenum Current Collector as Crucial and Undesired Process in Aluminum Batteries
Institut für Angewandte Materialien – Werkstoff- und Grenzflächenmechanik (IAM-MMI), Karlsruher Institut für Technologie (KIT)
Solid-state batteries with a lithium–metal anode are energy-storage devices that promise increased energy density and improved safety compared with liquid systems. Despite significant developments, the chemomechanical degradation of solid-state batteries represents a significant challenge to their widespread adoption. Specifically, Li-filled cracks (called “dendrites”) and electronically isolated Li inclusions (“dead” Li) are key defects resulting from coupled electrochemical and mechanical degradation during cycling. In this study, we use a symmetrical Li|LLZO|Li cell with a single-crystal electrolyte and demonstrate that an electronically isolated Li-metal inclusion exhibits bipolarity under an external electrical field, which leads to further crack expansion. We suggest that this process of “dead” metal activation accelerates chemomechanical degradation in solid-state batteries with alkali anodes.
These data correspond to the publication with the DOI: https://doi.org/10.1021/acsenergylett.5c00101. The data represent .txt files corresponding to electrochemical measurements and images of cell assembly and disassembly as stated in the Methods section. The data also comprise operando measurements corresponding to the Supplementary Materials submission.
Disconnected Lithium Metal Damages Solid-State Electrolytes-Data Repository
Measurement data for 'Cloud Chamber Studies on the Linear Depolarisation Ratio of Small Cirrus Ice Crystals' Contains data collect at the AIDA cloud chamber facility during measurement campaigns HALO06, RICE01, RICE02, RICE03 between January 2011 and December 2014: -SID3 Image Analysis: Fourier analysis of SID3 images with folder names: 'Campaign'_'Experiment number' -SIMONE Depolarisation and PPD Size Analysis with file names: depoldia_'Campaign'_'Experiment number'_SIMONE.txt -SIMONE Depolarisation and PPD Complexity with file names: depolkvalue_'Campaign'_'Experiment number'_SIMONE.txt -SIMONE Depolarisation and FTIR Size Analysis with file names: depoldia_'Campaign'_'Experiment number'_SIMONE.txt Notes: -Diameter is spherical equivalent diameter: Diameter of a sphere scattering the same light intensity as the detected ice particle -TDL RH_ice in % is relative humidity with respect to ice measured with a tunabel diode laser hygrometer -AIDA time is time after start of cloud chamber expansion
Linear Depolarisation Ratio of Cloud Chamber Grown Cirrus
Institut für Angewandte Materialien – Computational Materials Science (IAM-CMS), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Raw data containing friction data, profilometry, light microscopy and electron microscopy data
How Surface Treatment of Porous Copper Samples Dictates Dry Friction and Wear
Python code was used to evaluate the pore diameter and lamellae width of the biocatalytic foams from fluorescence microscopy images.
Pythoncode used in: "Harnessing non-covalent protein-protein interaction domains for production of biocatalytic materials systems"
Engineering stress, engineering strain data on Mo-Nb alloys and Mo-Ti (up to 80 at.% Ti) are provided as unicode-compliant Origin project file. The free Origin project viewer might be used to access the data. The compositions are provided in at.%. Engineering stresses are in MPa. Engineering strains are without unit (= 1).
Comprehensive compressive stress-strain data of Mo-Ti and Mo-Nb solid solutions
These are raw TEM data files, including EDX, SAD, and HRTEM, acquired in the .emd format. Velox software is required to view and analyze these files.
Transmission electron microscopy analysis
A custom-built laser-induced forward transfer (LIFT) setup was developed to fabricate multimaterial organic light emitting diode (OLED) stacks under ambient laboratory conditions without the use of a cleanroom or encapsulation. The process enables precise control of layer thickness through parameter tuning as confirmed by vertical scanning interferometry (VSI), yielding smooth and ho- mogeneous layers with surface roughness values down to 2.78 nm and tunable thicknesses between 19 nm and 45 nm. A three-layer OLED stack (total thickness ≈ 90 nm) was printed and structurally characterized using focused ion beam scanning electron mi- croscopy (FIB-SEM) and time-of-flight secondary ion mass spectrometry (ToF-SIMS), revealing distinct, well-defined layer bound- aries. First functional tests demonstrated electroluminescence at 580 nm with an operational lifetime of at least 20 min. Despite the lack of encapsulation, the OLEDs remained stable under ambient conditions with a shelf life of up to 9 days. These results confirm the potential of LIFT as a scalable and precise tool for the additive manufacturing of flexible thin-film devices such as OLEDs, solar cells and fuel cells
.OPDX topographic data can be opened with Vision64 by Bruker .OPJU can be opened with Origin All other are image data or raw measurement data like .csv/.txt/...
Overlapping Nanostacks Enable Direct Printing of Freeform Organic LEDs
Fig. 1a: X-ray diffraction pattern, 2Theta Angle in ° and intensity in 1 Fig. 1b: Differential scanning calorimetry data, temperature in °C and temperature derivative of enthalpy in J/(K g) as *.xlsx files Fig. 1c: Electron backscatter diffraction data as *.osc TSL/EDAX file Fig. 1d and e: Backscattered electron contrast micrographs as *.tiff files Fig. 2: Backscattered electron contrast micrographs as *.tiff files Fig. 3: Atom probe tomography data as Cameca raw files Fig. 4: Scatter data, time in h and radius in nm as well as relative solvus temperaure in 1 and coarsening rate in nm³/h Fig. 5: Secondary electron contrast micrographs as *.tiff files
Coarsening Refractory high entropy alloys Ripening B2 precipitates 2024-033-032157 2025-034-032388 FIB APT
Data from "Ultra-Slow Coarsening in Precipitation-Strengthened Refractory High-Entropy Alloys" (R.J. Vikram et al., initial submission)
This dataset contains the relevant raw data of the revised submission "Overcoming barriers for high temperature alloys: oxidation and ductility". All files highlighted by "MC-AC" denote data on as-cast Cr-37.2Mo and "MSC-AC" on as-cast Cr-36.1Mo-3Si (alloy compositions given in at.%). "MSC-H" is Cr-36.1Mo-3Si in the homogenized condition after 1600°C for 48 h. Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single-specimen" is not averaged but determined on a single specimen Fig2b = engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = true work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig4 = Atome probe tomography datasets according to Cameca file Standards Fig7 = Electron backscatter diffraction maps as fully annotated *.ang file FigS1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS3 = true stress-strain curves (in MPa and 1, respectively) FigS4 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS5 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigS6 = time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm); "internal_corrosion_zone" denotes the thickness of the internally oxdized regions; "800C" denotes 800°C and "1100C" denotes 1100°C FigS7 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "Overcoming barriers for high temperature alloys: oxidation and ductility" revised
This dataset contains the relevant data of the submission "A ductile chromium-molybdenum alloy resistant to high temperature oxidation". All files highlighted by "MC" denote data on Cr-37.2Mo and "MSC" on Cr-36.1Mo-3Si (both alloy compositions given in at.%). Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = Area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single_sample" is not averaged but determined on a single specimen Fig2b = Engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = True work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3a and b = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig3c = Atom probe tomography data in the form of Cameca proprietary data file format Fig4 = Electron backscatter diffraction maps as fully annotated *.ang file FigE1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigE3 = Engineering stress-strain curves (in MPa and 1, respectively) for room temperature FigE4 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigE5 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigE6 = Time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm) FigE7 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "A ductile chromium-molybdenum alloy resistant to high temperature oxidation"
In deep geological repositories for nuclear waste, iron container-bentonite interactions may impact the long-term performance of engineered clay barrier. Anaerobic canister corrosion, leads to Fe(II) release. Reactions of Fe(II) with bentonite, may modify its properties over time. Accurate performance predictions for high-level radioactive waste (HLW) storage systems require detailed insights into these interactions under relevant thermal conditions. This study explores the secondary phase formation during the reaction of iron powder with GMZ bentonite, MX-80 bentonite, or KGa-2 kaolinite under anoxic conditions. Two series of batch experiments are presented: a continuous high-temperature experiment with mixed bentonite iron suspensions stored at 90°C for up to seven months, and a high-plus-low temperature experiment, with mixed iron clay suspensions stored for four months at 90°C and five months at ambient temperature. In the presented experiments, montmorillonite - the main component of bentonite - undergoes complete delamination within one week. Iron is taken up by the clay matrix, reaching Fe-contents of ~ 30 atom %, which then remain constant. We suggest that the Fe uptake is driven by the formation of Fe(II/III) containing hydroxide sheets near/at delaminated montmorillonite sheets, inducing the formation of a serpentine like 1:1 phyllosilicate. Crystalline iron oxides (i.e. magnetite) form only at later stages, suggesting the kinetic preference of silicate-bound iron retention. At ambient temperature, the crystallinity of the Fe-phyllosilicate improves. All clay educts, bentonites as well as kaolinite are transformed into chemically and structurally similar phyllosilicates, emphasizing the relative stability and preferential formation of the resulting serpentine phases. In this data publication we publish the spectroscopic and diffraction data as well as geochemical modelling files, which are explained in detail in the associated manuscript.
In this data publication we publish the spectroscopic and diffraction data as well as geochemical modelling files, which are explained in detail in the associated manuscript with the same title, authors and publication year.
Iron Induced Alteration of Bentonite to Serpentine Minerals at 90°C
Identifying a Kinetic Model for the Acid-Catalyzed Sequence of the Artemisinin Partial Synthesis
Raw data for ex situ and in situ/operando characterization and catalytic testing Current address of Enrico Tusini: Stanford Synchrotron Radiation Laboratory, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA Affiliation of Solenn Reguer: Synchrotron SOLEIL, L'Orme des Merisiers, Départementale 128, 91190 Saint Aubin, France
Role of Mg:Al ratio and Pt promotion on mitigating the deactivation of Ni-based Methane Steam Reforming catalysts - Raw data
Input instances and result data for the Exact Formulation and Heuristic for the Dynamic Multi-AMR Buffer Reshuffling and Retrieval Problem
Dynamic Multi-AMR Buffer Reshuffling and Retrieval Dataset
PPD-2K Size Distribution from 11-21-2023 094440 UTC until 01-07-2024 222452 UTC. PPD flow: 5 lpm Calibration coefficients: a = 2.02, b = 0.522 and c = 0 Note: Empty images and triggers that are triggered on noise are removed. File 'DOME_C_final_level2': Concentration measurements (optical particle counter) Data produced with 10 s averaging 1st Column: datetime in UTC 2nd Column: Ntot, Total concentration in 1/ccm 3rd Column: dNtot, Uncertainty in total concentration in 1/ccm 4th Column: Droplet_fraction 5th Column: Droplet_fraction upper Clopper-Pearson confidence interval 6th Column: Droplet_fraction lower Clopper-Pearson confidence interval 7th Column onwards: dN/dlogDp for spherical equivalent diameter size bins in 1st row last Column: lidar classification (d: diamond dust, i: ice fog, m: mixed fog, l: liquid cloud precipitation) File 'DOME_C_images_final_level2.csv': Diffraction pattern image analysis Columns: Date,UTC time,Seconds of day,Image name,Folder name,Mean intensity,Saturation ratio,Sphere,Fit,Sphere diameter,FFT_0,FFT_1,FFT_2,FFT_3,FFT_4,FFT_5,FFT_6,FFT_7,FFT_8,k-value,Entropy,Contrast,Homogeneity,Correlation,Energy,combined roughness,Shape,Optical diameter,ICCD gain,Trigger gain,Trigger threshold,Trigger intensity,TOF,Norm Variance,Sum Sq Res Mie,CNN_shape The CNN shapes correspond to: 0: Irregular 1: Large (or nearly saturated) 2: Pristine 3: Rough 4: Small Rough 5: Small (often triggered on noise) 6: Spherical 7: Sublimating The shapes correspond to the maximum Fourier coefficient.
Dataset: PPD-2K Particle shape and particle size distribution from DOME-C, Antarctica
Catalytic testing, DRIFTS, XAS and HERFD-XAS data. XAS and HERFD-XAS data can be processed in the Fastosh or Athena/Artemis software. DRIFTS and light-off curves are best visualized with the Origin software. Reference spectra are additionally provided in the RefXAS database in agreement with the FAIR data principles. For more information on RefXAS see https://doi.org/10.1107/S1600577524006751
Complementary and Spatially Resolved Operando Spectroscopic Investigation of Pt/Al2O3 and Pt/CeO2 Catalysts during CO/NO Conversion - Raw data
Raw data set to "Microstructure and mechanical properties of a laser-based directed energy deposited Mo-Si-Ti alloy". The data sets are labelled according to the figures in the manuscript. DED-v or DED-h refers to the eutectic Mo-20Si-52.8Ti alloy manufactured by DED-LB in the vertical or horizontal direction with respect to the build direction AC referes to the eutectic Mo-20Si-52.8Ti alloy manufactured by arc melting in as-cast condtion HT refers to the eutectic Mo-20Si-52.8Ti alloy manufactured by arc melting in annealed condtion (1600°C/150h) Fig.1a = Scanning electron grayscale micrographs using secondary electron contrast as *.jpg image of powder particles Fig.1b = Cumulative frequency as a function of powder size ad aspect ratio Fig.2a = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of DED-v Fig.2b = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of DED-h Fig.2c = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of AC Fig.2d = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of HT Fig.3 = Color-coded IPF maps of (a) (Mo,Ti,Si) solid solution and (b) (Ti,Mo)5Si3. (c) + (d) Orientation relationship of Mo,Ti,Si) solid solution and (Ti,Mo)5Si3 Fig.4a = True stress as a function of true strain at 900°C for DED-v, AC and HT Fig.4b = 0.2% offset yield strength as a function of testing temperature for DED-v, DED-h, AC and HT Fig.4c = Strain rate dependent 0.2% offset yield strength at 900°C for DED-v, AC and HT Fig.4d = Arrhenius plot at 200MPa for DED-v, AC and HT Fig.5 = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of DED-v after compression strain of 6%
Data from "Microstructure and mechanical properties of a laser-based directed energy deposited Mo-Si-Ti alloy"
Raw data for all figures/tables shown in the publication "Tailoring the active sites in Cu-SSZ-13 NH3-SCR catalysts to minimize HCHO and HCN emissions"
Tailoring the active sites in Cu-SSZ-13 NH3-SCR catalysts to minimize HCHO and HCN emissions - Raw data
Die Details zu den Daten können dem OA Paper "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" im Journal Magnetic Resonance (https://doi.org/10.5194/mr-2024-22) entnommen werden.
Rohdaten zur Publikation "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" (10.5194/mr-2024-22)
Raw data for ex situ and in situ/operando characterization and catalytic testing Additional Affiliation of Paolo Dolcet and Silvia Gross: Dipartimento di Scienze Chimiche Università degli Studi di Padova Via Francesco Marzolo 1 35131 Padova, Italy
Influence of CeO2 morphology and initial Pd-Pt interaction degree on catalyst activity and stability - Raw Data
Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU), Karlsruher Institut für Technologie (KIT)
Extract the ZIP folder to obtain the files needed to run PVMultiSegNet. The README file contains instructions for managing the code.
A deep learning framework for simultaneous segmentation of rooftop and ground-mounted photovoltaic (PV) systems using multispectral remote sensing data. The code relates to the publication: S. Krikau and S. Keller, "Deep Learning Framework for Multi-Class Segmentation of Photovoltaic Systems," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2025.3640268.
PVMultiSegNet: Framework for Simultaneous Segmentation of Rooftop and Ground-Mounted Photovoltaics
Dataset for the paper "Sample-accessible multi-resonance X-band EPR triple ring resonator"
P3 = Fe-3.0Mn-3.0C (at.%), Fe-3.0Mn-0.7C (wt.%) P7 = Fe-6.9Mn-3.2C (at.%) Fe-7.0Mn-0.7C (wt.%) Fig. 3a: Scanning electron microscopy micrograph P3 (pearlite condition, 600 °C/16 h) Fig. 3b: Scanning electron microscopy micrograph P7 (pearlite condition, 540 °C/96 h) Fig. 4a: Transmission electron microscopy micrograph, bright field P3 (pearlite condition, 600 °C/16 h) Fig. 4b: Transmission electron microscopy diffraction pattern P3 (pearlite condition, 600 °C/16 h) Fig. 4c: Transmission electron microscopy micrograph, bright field P7 (pearlite condition, 540 °C/96 h) Fig. 4d: Transmission electron microscopy diffraction pattern P7 (pearlite condition, 540 °C/96 h) Fig. 5a: Atom probe tomography data as Cameca proprietary raw files P3 (pearlite condition, 600 °C/16 h) Fig. 5b: Atom probe tomography data as Cameca proprietary raw files P7 (pearlite condition, 540 °C/96 h) Fig. 7a: Scanning electron microscopy micrograph P3 (short time austenitization and quenching, 770 °C/150 s) Fig. 7b: Scanning electron microscopy micrograph P7 (short time austenitization and quenching, 770 °C/150 s)
Data from "Assessment of the compositional requirements to form Fe-Mn-C austenite-martensite composites"
Batteries with solid electrolytes promise increased energy density and improved safety by pairing a high-energy density anode and non-flammable, solid-state electrolyte ($\mathrm{Li_{6}La_{3}ZrTaO_{12}}$). The bottleneck in the development of solid-state batteries remains the Li$\mid$LLZO interface, a dominant source of degradation and capacity loss due to the development of voids, and impurity segregation during discharge. This study presents direct, in situ, and quantitative observations of the electrochemically active area during anodic dissolution of Li metal at initial current densities between 0.007--3.8 mA/cm$^{2}$ and loads up to $\sim$7 MPa. The transparency of the single-crystal LLZO and the reflectivity of the Li-metal under optical microscopy enable these experiments. The void morphology and size vary with the initial current density: for the same charge, low rates lead to fewer, but larger voids and vice versa. Stripping at high current densities generates a greater density of voids, and thus, an accelerated loss of the electrochemically active area. Applying a compressive load delays void growth, but can only mitigate loss of contact at the lowest rate. This study provides novel experimental evidence of the impact of stripping current and load on Li dissolution and provides information for interface engineering, numerical simulations, and charge-discharge protocols for solid-state batteries.
This data set and code for analysis are associated with the pre-print: 10.26434/chemrxiv-2025-lrw48 . The data set comprises in situ optical frames and corresponding videos, electrochemical measurements, images of cell assembly and disassembly, and post mortem investigations with HIM and SEM. The Matlab scrips correspond to the analysis outlined in Figure S1 in the manuscript, and scrips to generate the figures in the manuscript.
Evolution of the Electrochemically Active Interface Between a Li-Metal Anode and a Single-Crystal LLZO under Mechanical Loads
Technische Universität Darmstadt (TU Darmstadt)
Velox 3.10 to open the emd file for STEM and EDX NanoMegas ASTAR 2.2.0 to open the blo file for ACOM EDAX OIM analysis 8 to open the OSC and UP2 file for EBSD
Microstructural evolution and mechanical properties of CuSn5 processed by HPT followed by short-time annealing
The data is 2D slices which are exported from 3D tomo Data
Ptychographic X-ray computed tomography was used to image nanoporous gold samples, with and without metal oxide additives, following incremental ex situ annealing steps up to 750 °C. Studying the exact same sample volumes following sequential annealing steps allowed accurate 3D imaging of large meso- and macropore systems over extended sample volumes. Extraction of surface area, pore size distribution, and pore connectivity were demonstrated using a skeletonization method. These properties are relevant in the study of functional materials such as catalysts which rely on diffusion processes within the pores. Samples with metal oxide additives were found to be more resistant to thermal annealing and gold ligament coarsening up to 550 °C, while pure nanoporous gold showed a greater loss of specific surface area during the same treatment. An anomalous stabilisation effect was observed during measurements in ambient air, with minimal coarsening observed in sample regions previously exposed to X-rays, and extensive coarsening in neighbouring regions of the same sample which were not previously exposed to X-rays. Thermal annealing of duplicate samples under nitrogen flow eliminated this effect, suggesting the possible formation of a protective surface structure induced by X-ray irradiation of nanoporous gold in air. The same observations may not be visible to conventional bulk sorption or porosimetry methods, showing the benefits of X-ray tomography for quantitative spatially-resolved imaging of porous nanomaterials.
Hard X-ray nanotomography reveals anomalous and expected thermal coarsening behaviour of nanoporous gold
Electron pair distribution function (ePDF), combined with four-dimensional scanning transmission electron microscopy (4D-STEM), provides a powerful approach for uncovering detailed information about the local atomic structure and structural variations in disordered materials. However, achieving high accuracy in ePDF analysis requires careful control of experimental and instrumental parameters. In this study, we systematically investigate the effects of key electron optical and measurement parameters on ePDF analysis using simulations as the primary tool, complemented by experimental validation. Specifically, we examine the influence of diffraction angle range, beam convergence semi-angle, detector pixel resolution, sample thickness (multiple scattering effect), noise, and electron beam precession on the resulting ePDF. By integrating multi-slice electron diffraction simulations with experimental diffraction data, we identify optimal conditions for accurate ePDF extraction and provide practical guidelines to improve analysis precision and reliability. These insights contribute to refining ePDF techniques, particularly for applications involving amorphous and nanostructured materials.
this is data for a journal publication for Ultramicroscopy
four-dimensional scanning transmission electron microscopy
Validating Electron Pair Distribution Function Analysis: The Role of Multiple Scattering, Beam, Measurement, and Processing Parameters
Using a Radical Straitjacket to Enforce an Ultrashort Dy-Dy Distance and thus Enhance Dipolar Interactions in a DyIII2 Dimer
This publication includes three compressed files containing excel data of temperature readings from different experiments of this project. Additionally, a separate python code is included for the processing of each dataset.
Python Code and Temperature Readings for Analysis of Winogradsky Column Temperature Dynamics
CO and CO₂ adsorption dataset containing optimized geometries, adsorption energies, and grand-canonical chemical potentials for CO and CO₂ on Cu and Cu₃Zn surfaces. All calculations were performed using VASPsol under applied surface charges to simulate electrochemical conditions.
Mechanistic Insights into Zn-Promoted CO₂ Electroreduction on α-CuZn Alloys in Aprotic Media
This exemplary dataset was recorded during monitoring the self-assembly of enzymes via dynamic light scattering. See the README.md provided with the data for more details.
Dataset to: "Real-Time Monitoring of Protein Self-Assembly by Dynamic Light Scattering"
Atmosphärische Spurenstoffe und Fernerkundung, Institut für Photogrammetrie und Fernerkundung
Institut für Meteorologie und Klimaforschung Troposphärenforschung
# Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters ## Scripts to train a machine learning model (Histogram based gradient boosting regression with scikitlearn) and calculate SHapley Additive exPlanation (SHAP) values The machine learning model can predict the liquid fraction in different cloud types based on four parameters, namely the cloud top temperature, the sea ice concentration, the dust mixing ratio and the sea salt mixing ratio. More information on the used dataset can be found here: [Dietel et al. 2023](https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2281/) ### Bash-scripts The bash scripts are used to run the python scripts for different cloud types and regions on a cluster. bash-scripts starting with ***GBR_[...]*** (Gradient Boosting Regression) run the python-script ***hist_gbr_subset_final2_with_comments.py*** for different regions (Arctic Ocean (AO), Southern Ocean (SO)) and different cloud types (low-level, mid-level,mid-to-low-level). bash-scripts starting with ***shap_values_***[...] run the python-script ***shap_values-subset-final2_with_comments.py*** to calculate SHAP values based on the trained machine learning models for a 500 000 sample subset of the validation dataset. ### Python scripts ***hist_gbr_subset_final2_with_comments.py*** Python script to train the a Histogram-based Gradient Boosting Regression model using the scikitlearn python package. More detailed information can be found as comments in the scripts. ***shap_values-subset-final2_with_comments.py*** Calculates SHAP values for a 500 000 sample subset of the validation dataset to make the machine learning model explainable. More detailed information can be found as comments in the scripts.
Histogram based gradient boosting regression
Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters
Institut für Hydromechanik (IFH), Karlsruher Institut für Technologie (KIT), Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)
The animation shows the particle motion and the coherent vortical structures in particle-resolved DNS simulations of turbulent open channel flow. Please refer to the accompanying manuscript for the configuration, numerical method and the parameter values: "Investigating the mechanism by which finite-size heavy particles are entrained in turbulent open channel flow over a smooth surface" by T. Bzikadze, M. Weyrauch and M. Uhlmann, (J. Phys.: Conf. Ser., 2026) - [DOI TO BE ADDED when available]. The movie features a temporal sequence of duration corresponding to approximately 20 bulk time units, starting just after inserting the particles into the flow. The visualization shows two different views of the same data, indicating the particles (colored in black when in contact with the wall and in pink when lifted off) as well as a vertical line to indicate their wall distance more clearly. The channel wall is colored with the local streamwise shear-stress, the color indicating its fluctuation around the global average on a colormap from blue to red. The white semi-transparent surfaces are defined by the second invariant of the velocity gradient tensor (Hunt et al., Proc. Summer Prog. CTR, 1988) taking a value equal to five times its r.m.s. value. Note that for clarity the data is only shown for the lower half of the open channel domain, i.e. for the wall-normal distance 0<=y<=h/2, where 'h' is the channel depth.
This mp4 animation should be compatible with many devices.
Animation of particle lift-off in turbulent open channel flow based on data from PR-DNS
Fraunhofer-Institut für System- und Innovationsforschung
Graduiertenkolleg 2561: Materials Compounds from Composite Materials
This dataset contains the relevant raw data of the submission "Overcoming barriers for high temperature alloys: oxidation and ductility". All files highlighted by "MC" denote data on Cr-37.2Mo and "MSC" on Cr-36.1Mo-3Si (both alloy compositions given in at.%). Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single_sample" is not averaged but determined on a single specimen Fig2b = engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = true work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig4 = Electron backscatter diffraction maps as fully annotated *.ang file FigS1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS2 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigS4 = time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm); "internal_corrosion_zone" denotes the thickness of the internally oxdized regions; "800C" denotes 800°C and "1100C" denotes 1100°C FigS5 = Electron backscatter diffraction maps as fully annotated *.ang file
Raw Data to "Overcoming barriers for high temperature alloys: oxidation and ductility"
Die nachlassende körperliche Leistungsfähigkeit von Kindern führt zu gesundheitlichen Risiken. Während die Einflussfaktoren auf eine reduzierte motorische Leistungsfähigkeit bisher größtenteils in Querschnittsstudien untersucht wurden, war das Ziel dieser Studie, die Entwicklung dieser Faktoren und ihrer Bedeutsamkeit für die motorische Leistungsfähigkeit über die Grundschulzeit zu analysieren. Dazu wurden von 83 Augsburger Grundschülern in der 2., 3. und 4. Klasse Daten zu Migrationshintergrund, Sozialstatus, Medienausstattung, Body-Mass-Index (BMI), Sportaktivität und motorischer Leistungsfähigkeit erhoben. Mehr als 60% der Kinder waren durchschnittlich mindestens einmal pro Woche im organisierten Sport aktiv. Die Medienausstattung im Kinderzimmer stieg von der 2. bis zur 4. Klasse deutlich an. In der 4. Klasse waren 21,6% der Kinder übergewichtig. Je niedriger der Sozialstatus war, desto höher war die Medienausstattung der Kinder. Der BMI war für Kinder mit Migrationshintergrund und niedrigem Sozialstatus bedeutsam erhöht. Über den gesamten Messzeitraum stellte der BMI den wichtigsten Prädiktor für die motorische Leistungsfähigkeit dar. Bis zur 4. Klasse wurden regelmäßige Sportaktivitäten und eine geringere Medienausstattung ebenfalls bedeutsam. Die Studie legt somit nahe, bereits im Grundschulalter viel dafür zu investieren, das Gesundheitsrisiko durch einen erhöhten BMI zu reduzieren, das sowohl unmittelbar, als auch durch eine verminderte Fitness offenkundig wird. Paus
Motorische Leistungsfähigkeit von Augsburger Grundschulkindern - Längsschnitt
The data is in a NetCDF format. The file contains the following variables: time_sec_af_midn: time as seconds after midnight T: temperature in degree Celsius altitude: flight altitude bin_midpoints: bin midpoint diameters in µm - droplets bin_ice_midpoints: bin midpoint diameters in µm - ice bin_endpoints: bin endpoint diameters in µm - droplets bin_ice_endpoints: bin endpoint diameters in µm - ice Ntot_drop: Total concentration in particles per cubic centimeter – droplets dNtot_drop_upper: Clopper-Pearson confidence upper limit – droplets dNtot_drop_lower: Clopper-Pearson confidence lower limit – droplets Ntot_ice: Total concentration in particles per cubic centimeter – ice dNtot_ice_upper: Clopper-Pearson confidence upper limit – ice dNtot_ice_lower: Clopper-Pearson confidence lower limit – ice PSD_all: Particle size distribution – ALL particles PSD_ice: Particle size distribution – ice PSD_ice_upper: Clopper-Pearson confidence upper limit - Particle size distribution – ice PSD_ice_lower: Clopper-Pearson confidence lower limit - Particle size distribution – ice PSD_drop: Particle size distribution – Droplets PSD_drop_upper: Clopper-Pearson confidence upper limit - Particle size distribution – Droplets PSD_drop_lower: Clopper-Pearson confidence lower limit - Particle size distribution – Droplets NDropImag: Number of droplet images used to construct particle size distribution NIceImag: Number of ice images used to construct particle size distribution d_eff_ice: Effective diameter – ice d_eff_drop: Effective diameter – droplets IWC: Ice water content assuming a sphere LWC: Liquid water content LWC_upper: Liquid water content upper limit – sphere. Calculated using Clopper-Pearson confidence lower limit. LWC_lower: Liquid water content lower limit – sphere. Calculated using Clopper-Pearson confidence lower limit. b_ext_drop: Extinction coefficient - droplets b_ext_ice: Extinction coefficient - ice
This data set contains particle size distributions of spherical and aspherical cloud particles between 5 and 45 microns with a 10-second time resolution calculated from the Small Ice Detector Mark 3 (SID-3). The SID-3 detects individual cloud particles passing a 532 nm laser beam using two nested trigger detectors. The trigger signal is recorded as a histogram with a maximum rate of 11 kHz that can be used to derive particle size distributions by using the procedure described in Vochezer et al. (2016), doi:10.5194/amt-9-159-2016. For a sub-set of triggered particles a two-dimensional (2-D) scattering pattern is recorded that can be analysed for particle sphericity by a specifically developed image analysis software. Occasionally, coincidence sampling in the camera field of view causes optical distortions of the 2-D scattering patterns of liquid droplets and, consequently, a misclassification of such scattering patterns to be aspherical by the classification software. For the subsequent identification and re-classification of coincidence scattering patterns a machine learning (ML) algorithm was developed. From the numbers of observed spherical and aspherical 2-D scattering patterns the fractions of spherical and aspherical particles are derived. Multiplication of those number-based fractions with the total particle size distribution yields phase-specific particle size distribution. The uncertainty due to the fact that the imaged particles are a subset of all sampled particles can be estimated from the Clopper–Pearson confidence limits. The data was collected during the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, which was conducted northwest of Svalbard (Norway) between May 23 and June 6, 2017. The measurement area comprises an area north of Svalbard, approximately between 78 and 82°N. The SID-3 instrument was installed in the Polar-6 aircraft during the ACLOUD campaign. The data is in NetCDF format and contains the total number concentration, the total particle size distribution, the total number of aspherical particles, the aspherical particle size distribution, the total number of spherical particles, the spherical particle size distribution and the upper and lower limits for the total aspherical and spherical particles and aspherical and spherical particle size distributions calculated using Clopper–Pearson confidence limits.
SID-3 Liquid and Ice Phase Particle Size Distributions measured during ACLOUD
Learning to Understand Human Motion by Simulating Muscle Activations
Computer Vision for Human Computer Interactions Lab (cv:hci), Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology
Exploring the intricate dynamics between muscular and skeletal structures is pivotal for understanding human motion. However, acquiring ground truth muscle activation data is resource-intensive and results in a scarcity of datasets. The Muscles in Time (MinT) dataset aims to address this by introducing a large-scale synthetic muscle activation dataset. MinT is created by enriching existing motion capture datasets with muscle activation simulations from biomechanical models using the OpenSim platform, a widely accepted tool in biomechanics and human motion research. Neural networks designed for human motion understanding have historically relied on indirect data, like video or motion capture, similar to prisoners in Plato's cave who see only shadows rather than the true objects. Current systems, despite advances in capturing human motion, do not account for the complex inner mechanics—particularly the muscle activations driving human movement. These activations are key to understanding physical exertion and motion difficulty but are often overlooked due to the limitations of traditional data collection methods such as EMG. To overcome these challenges, our dataset, MinT, incorporates simulations that provide detailed muscle activation information. Starting from simple pose sequences, we extract fine-grained muscle activation timings and interactions within the human musculoskeletal system. MinT contains over nine hours of simulation data, covering 227 subjects and 402 muscle strands, offering a comprehensive and scalable resource for further research into human motion.
Please find additional information about this dataset and its usage under https://simplexsigil.github.io/mint
Processed micro-tomographic scan of the ant Temnothorax mauritanicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity. " by S. Buchholz, B. Dörich, and M. Hochbruck. The codes generates Figure 2. #### Requirements The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: - numpy - 1.15.4 - scipy - 1.4.1 - matplotlib - 3.2.1 - tikzplotlib - 0.9.6 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: - numpy - 1.19.2 - scipy - 1.5.1 - matplotlib - 3.3.2 - tikzplotlib - 0.9.4 #### Figure 2 In this folder open a console and run the following commands after each other. 1) Run "python3 run_paper_Strang_N_2pw09.py" 2) Run "python3 run_paper_Strang_N_2pw10.py" 3) Run "python3 run_paper_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files.
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity" by S. Buchholz, B. Dörich, and M. Hochbruck.
Numerical experiments to "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity"
As the perovskite solar cell (PSC) industry moves toward large‐scale manufacturing, production processes must enable high‐throughput fabrication and simple process integration. The hybrid two‐step deposition route has emerged as a promising method for achieving conformal coatings on micron‐scale textures, a critical feature for perovskite/silicon tandem photovoltaics. In this work, we present a fully sequential route, wherein the inorganic materials CsCl and PbI2 are deposited separately, allowing for facile industrial implementation as compared to the commonly codeposited inorganic scaffold. Microstructural analysis reveals a change in preferred crystal orientation of the PbI2 platelets with codeposition resulting in horizontal growth, whereas sequential deposition promotes vertical growth with a secondary tilted orientation. Elemental mapping of the final perovskite absorber shows homogeneous distribution of Cs, formamidinium, and I, while Pb and Cl largely retain their initial scaffold positions. PSCs fabricated via sequential deposition of the inorganic scaffold demonstrate improved process repeatability and reach an efficiency of 20.3%, ranking among the highest reported efficiencies for wide‐bandgap hybrid two‐step processed PSCs. These findings underscore the potential of fully sequential hybrid deposition as a viable route toward industrial PSC production.
This is the data generated during and/or analyzed during the study "Benchmarking Inorganic Deposition Routes for Hybrid Two-Step Processed Perovskite Solar Cells: A Materials Perspective". The data is attributed to each figure in the original publication (main manuscript and and Supporting Information).
Research data for: Benchmarking Inorganic Deposition Routes for Hybrid Two-Step Processed Perovskite Solar Cells: A Materials Perspective
Modified and updated numerical experiments to "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data"
Seit 2012 werden die beiden Testbatterien KITT+ 3-10 und DMT 6-18 in Baden- Württemberg in Kooperation zwischen KIT und Kinderturnstiftung Baden- Württemberg durchgeführt. Die Testdurchführung findet durch geschulte LehrerInnen, ErzieherInnen und ÜbungsleiterInnen statt, die ausgebildet und wissenschaftlich begleitet werden. Bei den Testaufgaben handelt es sich um die Durchführungsvarianten, die im User- Manual von MO|REdata beschrieben sind. Die Rohwerte in den einzelnen Testaufgaben werden in alters- und geschlechtsspezifische Referenzperzentile der bundesweiten, repräsentativen MoMo- Stichprobe eingeordnet.
Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division Technical Petrophysics
The Visualization and Converter Tool (VCT) is a Python‑based application designed to load, visualize, and convert geological 3D surface data between several supported file formats.
Txt files of raw measurement data for all figures. Title clearly linking it to the corresponding figure.
Research Data of the Publication *Distribution of relaxation times-based impedance analysis of incremental PEM water electrolysis cells*
The Image Log Analyzer Tool (ILAT) is a Python-based application designed for the preprocessing, referencing, visualization, interpretation, and export of image log data. Its workflow is structured through a preprocessing wizard and an advanced dual-view analysis environment that enables detailed picking, classification, and export of structural features from borehole image logs.
The Stress Feature Result Viewer (SFRV) is an interactive tool a Python-based application that for analyzing and visualizing borehole-related structural features, including orientation data, breakout characteristics, and derived stress indicators. This manual describes installation, workflows, data formats, visualization tools, and export functions.
Supplemental data for: Buffa et al.: Morphology and osteo-histology of the weigeltisaurid wing: implications for aerial locomotion in the World’s first gliding reptiles
State Museum of Natural History Karlsruhe
Interactive 3D model of Lophotettix verhaaghi sp. nov.
This submission includes raw 19F-MRI data generated for ligand binding characterization, supported by T2-relaxation results for compound screening (IC50 determination by originLab) and reference datasets (in Excel, the hit ranking). Raw MRI data acquired for ligand binding and screening studies. The dataset includes measurements from compressed sensing experiments (capillary and honeycomb setups), reference library acquisitions for BZA, BZD, and MZA, as well as raw data from trypsin primary hit screening and strong ligand validation. Additional raw data related to a CoAD study are also included.
Parallelized 61-sample inhibition screening accelerated by 19F-MRI compressed sensing
Magnetic SQUID and MicroSQUID data, cantilever torque magnetometry, synchrotron Mössbauer spectroscopy and ab initio calculations.
Adding 161Dy-Mössbauer Spectroscopy to a Multitechnique Investigation of Magnetic Transitions in a {CoIII3DyIII3} Single-Molecule Toroic
Scripts for publication in Monthly Weather Review (MWR) by Behrooz Keshtgar, Corinna Hoose and Aiko Voigt
The paper has been accepted for publication in the American Meteorological Society (AMS) journal Monthly Weather Review (MWR). **Author:** Behrooz Keshtgar, IMKTRO, Karlsruhe Institute of Technology, behrooz.keshtgar@kit.edu **The repository contains:** 1-simulations: Bash scripts for retrieving and processing IFS data as initial and lateral boundary conditions for use with the ICON model. Also included are ICON simulation run scripts and simulation log files. 2-preprocessing: Scripts for preparing the ICON simulation data for analysis, including: * remapping_icon_output: Bash scripts for interpolating ICON model output onto different grids. * era5_data_processing: Script for fetching and processing ERA5 data. * calculating_diagnostics: Jupyter notebooks for calculating diagnostics (cyclone tracks, WCB object identification, and PV error growth diagnostics). 3-plots4paper: Jupyter notebooks for the analysis and figures produced and used in the paper. 4-archiving: Bash script for archiving simulation data on the Hierarchical Storage Management (HSM) system at the German Climate Computing Centre (DKRZ). Users will need to adapt the directory paths to their own local infrastructure. The raw ICON simulation outputs are archived on the HSM at the DKRZ. The 1°×1° remapped ICON data used for most of the analysis and figures in this paper are published on RADAR4KIT ((DOI) 10.35097/zq3w0pg313utucnk)
Code repository for the publication "Cloud-Radiative Impact on the Dynamics of Extratropical Cyclones during NAWDEX"
Data for publication in Monthly Weather Review (MWR) by Behrooz Keshtgar, Corinna Hoose and Aiko Voigt
This dataset contains the post-processed output of the ICON model simulations used in the study, “Cloud-Radiative Impact on the Dynamics of Extratropical Cyclones during NAWDEX”, which examines how cloud-radiative heating (CRH) and associated uncertainties affect the dynamics of four extratropical cyclones observed during the 2016 NAWDEX field campaign. A set of numerical simulations was performed during four NAWDEX intensive observation periods (IOPs 3, 4, 6 and 7), each associated with the evolution of an extratropical cyclone. This set of simulations includes those with CRH (the reference/McICA_Fu simulations), as well as those in which CRH was either disabled ('Clouds-Off') or modified using different radiation schemes (McICA-Baran, TripleCLD-Fu and RRTM). The dataset provides the processed ICON output fields that were used for most of the analysis and figure generation in the associated publication. It contains ICON data remapped onto a regular 1° × 1° latitude–longitude grid in NetCDF format. Each simulation has been archived separately, corresponding to specific IOPs and radiation configurations, as indicated by the archive filenames and summarised in the simulation table.
### Table of simulations | Simulation | IOPs | CRH | Radiation scheme | Archive name | |------------|------|-----|------------------|--------------| | sim0001 (ref) | 3 & 4 | yes | ecRad (McICA_Fu) | sim0001_reference_iop_3_4.tar.gz | | sim0002 (ref) | 6 & 7 | yes | ecRad (McICA_Fu) | sim0002_reference_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0003 | 3 | no | ecRad (McICA_Fu) | sim0003_short_cloudsoff_iop_3.tar.gz | | sim0004 | 4 | no | ecRad (McICA_Fu) | sim0004_short_cloudsoff_iop_4.tar.gz | | sim0005 | 6 | no | ecRad (McICA_Fu) | sim0005_short_cloudsoff_iop_6.tar.gz | | sim0006 | 7 | no | ecRad (McICA_Fu) | sim0006_short_cloudsoff_iop_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0007 | 3 & 4 | no | ecRad (McICA_Fu) | sim0007_long_cloudsoff_iop_3_4.tar.gz | | sim0008 | 6 & 7 | no | ecRad (McICA_Fu) | sim0008_long_cloudsoff_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0009 | 3 & 4 | yes | ecRad (McICA_Baran) | sim0009_McICA_Baran_iop_3_4.tar.gz | | sim0010 | 6 & 7 | yes | ecRad (McICA_Baran) | sim0010_McICA_Baran_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0011 | 3 & 4 | yes | RRTM (ECHAM6) | sim0011_RRTM_iop_3_4.tar.gz | | sim0012 | 6 & 7 | yes | RRTM (ECHAM6) | sim0012_RRTM_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0013 | 3 & 4 | yes | ecRad (TripleCLD_Fu) | sim0013_TripleCLD_iop_3_4.tar.gz | | sim0014 | 6 & 7 | yes | ecRad (TripleCLD_Fu) | sim0014_TripleCLD_iop_6_7.tar.gz |
ICON simulation output for "Cloud-Radiative Impact on the Dynamics of Extratropical Cyclones during NAWDEX"
Valenzuela Garcia de León, Jorge Roberto
Data provided from experimental results presented in the publication and supporting information of HT-OEMS, XRD and OEMS analysis.
Thermal events remain a safety challenge for lithium-ion batteries due to self-reinforcing exothermic reactions that occur at elevated temperatures. Higher states of charge have been shown to exacerbate the onset and severity of these events. This has been attributed to the release of lattice oxygen in cells containing Ni-rich layered oxide electrodes. The degradation reactions on the electrode/electrolyte interface triggered by this oxygen remain insufficiently understood. In this study, we investigate high-temperature degradation pathways of ethylene carbonate (EC)-based electrolytes in contact with Ni-rich positive electrode active materials up to 130 ◦C. By combining in-situ high-temperature online electrochemical mass spectrometry with post-mortem analyses, we identify and validate key degradation intermediates and products. Two distinct EC oxidation pathways are revealed: one activated at high voltages, and one initiated by trace water impurities. Theoretical calculations reveal the reactions are thermodynamically favorable and quantify their heat release. Both pathways produce significant heat and lead to gassing of CO$_2$ and H$_2$. These findings suggest a significant contribution of EC to thermal gas evolution and exothermicity under abuse conditions, thereby establishing a mechanistic link between electrolyte chemistry and thermal events. This integrated experimental-computational approach provides critical insights to guide improved electrolyte formulations and predictive thermal models.
High-Temperature Chemical Oxidation Pathways in Lithium-ion Batteries: Mechanistic insights into Ethylene Carbonate Decomposition
Institut für Anorganische Chemie (AOC), Karlsruher Institut für Technologie (KIT), Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
This document contains additional tables for the dissertation of Christian Franz Pachl. All tables supplied in this document are labeled with "B".
Supplementary Information to Exchange-, Non-Covalent- and Second-Sphere Interactions in Lanthanide Coordination Compounds: A Computational and Synthetic Approach
The Synset Boulevard dataset is designed for the task of vehicle make and model recognition (VMMR), and is—to the best of our knowledge—the first entirely synthetically generated large-scale VMMR image dataset. Through the simulation of image data rather than the manual annotation of real data, it is intended to mitigate common challenges in state-of-the-art VMMR datasets, namely bias, human error, privacy, and the challenge of providing systematic updates. On the other hand, the provision and use of synthetic data introduce individual challenges, such as potential domain gaps and a less pronounced intra-class variance. The dataset was generated using path tracing and physically-based, data-driven models, and contains 32,400 independent images (each with different imaging simulations and with/without masked license plates, leading to a total of 259,200 images) from 162 different vehicle models of 43 makes depicted in front view. It is split into 8 sub-datasets to investigate the influence of optical/imaging effects on the classification ability.
Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg
The Four Arm Caliper Tool (FAC) Version 2 is a Python-based application that enables loading, visualizing, and analyzing oriented four-arm caliper logs. The first version of FAC was developed by Niederhuber (2025) in Matlab. This version is a modification and an extension of the previous Version with new import and export format as well as an improved tab/window handling. Also some miner bugs have been fixed. The software provides an interactive graphical environment built with PySide6 and Matplotlib, allowing users to explore borehole geometry, identify breakout intervals, and determine stress orientations following established geomechanical analysis principles. Supported input formats include .las, .dat, .csv, and .txt files.
The Six Arm Caliper Tool (SAC) Version 2.1 is a Python-based application that enables loading, visualizing, and analyzing oriented six-arm caliper logs. The first version of SAC was developed by Wagner et al., (2004) in Java. In 2017 the code was transferred to python by Stricker (2017). This version is an extension of the previous Version of Stricker (2017), with new import and export format as well as an improved tab/window handling. Also some miner bugs have been fixed. The software provides an interactive graphical environment built with PySide6 and Matplotlib, allowing users to explore borehole geometry, identify breakout intervals, and determine stress orientations following established geomechanical analysis principles. Supported input formats include .las, .dat, .csv, and .txt files.
Spectroscopic techniques are essential for accurately probing the electronic structures of coordination compounds and revealing the nature of their chemical bonding. This is particularly relevant for f-elements, where bonding interactions play crucial role, particularly in radiopharmaceutical developments. We present advanced spectroscopic analysis, including core-to-core resonant inelastic X-ray scattering (CC-RIXS) and high-energy resolution X-ray absorption near-edge structure (HR-XANES), to investigate metal-ligand interactions using lanthanum (La) as a non-radioactive homologue of actinium (Ac) applied in emerging and highly potent therapeutic radiopharmaceuticals. By analyzing the interplay between La 4f and 5d orbitals in various environments, we extract key information about ligand-field effects and bond covalency. Our findings demonstrate that spectroscopic features of the La L$_2$-edge CC-RIXS map reflect the nephelauxetic effect, which arises from central-field 4\textit{f} orbital-specific bond covalency. The energy separation between the pre-edge and main absorption edge of the La L$_2$-edge HR-XANES spectra also serves as direct probe of electron density for both 4f and 5d orbitals. Quantum chemical modeling, including ligand-field density-functional theory (LFDFT) and \textit{ab initio} bond analysis, complements our experiments. This allows us to establish a direct correlation between spectroscopic observables and theoretical metrics for bonding properties, offering a framework to understand the coordination chemistry of f-elements. Beyond advancing fundamental chemistry, our findings will also inform future studies on Ac$^{3+}$-radiopharmaceutical agents, where precise knowledge of bonding interactions is essential for their development.
Files in format .txt containing data from the manuscript: graphics, tables, etc.
High-energy resolution X-ray spectroscopy reveals bonding characteristics of La3+ homologues of actinium radiopharmaceuticals
This dataset provides data points for the graphs in the publication.
Research data of the publication: Impedance-based analysis of degradation phenomena in PEMFCs during accelerated stress tests
*.dm4 is an image file to be opened in digital micrograph software (Gatan/AMTEK, Version 3.53.4137.0), proprietary software. *.emd is an image file to be opened in Velox software (ThermoFisher, version Velox 3.13), proprietary software.
Stabilization and properties of fluorinated cubic boron nitride solids
Each folder contains raw data and is structured according to the paper’s work packages.
The rapid discovery of new functional coatings is vital for advancing technologies in healthcare, energy, and environmental protection. These surface materials define how objects interact with their surroundings, enabling antibacterial, antifouling, catalytic, or cell-adhesive functions, yet their development remains slow due to the lack of scalable, high-throughput methods for synthesis and screening of different coatings. Here, we introduce an ultra-high-throughput (UHT) combinatorial strategy for the miniaturized discovery of multifunctional coatings based on polyamine-polyphenol chemistry, a versatile and naturally inspired reaction motif. Polyphenols—over 8,000 identified to date—possess rich redox, optical, and biological activities, but their vast combinatorial potential remains largely untapped. Using the droplet microarray (DMA) platform, we synthesized and screened ≈30,000 polyamine–polyphenolic (PaPp) coatings formed from binary and ternary combinations of 51 polyphenols and 12 polyamines, each produced in 160 nL volumes (<5 mL total reagent use). This ultra-high-throughput workflow enabled the rapid identification of hundreds of previously unknown fluorescent coatings, including over 225 strong green-, blue-, or red-emissive PaPp materials. Systematic redox screening revealed more than 100 highly active metal-reducing coatings, dominated by PaPp combinations containing galloylated or catecholic structures, with the ternary compositions Pa2Pp43Pp44 and Pa2Pp43Pp45 emerging as the strongest reducers. Antibacterial screening uncovered seven PaPp coatings with reproducible activity against Pseudomonas aeruginosa, and subsequent validation on macroscale substrates confirmed up to <1 log CFU reduction against P. aeruginosa and E. coli. Importantly, five coatings exhibited multiple functionalities, including Pa2Pp3, Pa2Pp6, Pa6Pp3, Pa8Pp18, and Pa9Pp18, which combined surface stability, intrinsic fluorescence, metal-reducing activity, antibacterial effects, and compatibility with adherent human cells. Several additional coatings were identified as fluorescent–redox dual-functional materials (e.g., Pa2Pp7, Pa6Pp33, Pa8Pp9, etc.), or redox-active but cell-compatible surfaces, expanding the design space for optically traceable, redox-responsive, or bioactive interfaces. Together, this UHT approach yields the first comprehensive functionality map of polyamine–polyphenolic coatings, revealing previously inaccessible multifunctional materials and demonstrating a scalable strategy for the discovery of surface chemistries with tailored optical, redox, and biological properties.
ultra-high-throughput combinatorial synthesis
Ultra-High-Throughput Discovery of Multifunctional Polyphenolic Coatings on Droplet Microarrays
ASKIVIT: Altholzgewinnung aus Sperrmüll durch künstliche Intelligenz und Bildverarbeitung im VIS-, IR- und Terahertz-Bereich
WoodVIT: Extraction of Wood from Bulk Waste through Artificial Intelligence and Image Processing in the VIS, IR, and Terahertz Ranges
Institute of Industrial Information Technology
Raw data files on which the ASKIVIT V1 dataset is based. The dataset includes 56 x 4 images captured by four different sensors: a high-resolution VIS/RGB camera, a hyperspectral NIR camera, a thermographic camera, and a THz scanner. Python loading functions are provided. The registered, annotated, and ready-to-use dataset is also available. For access, refer to the associated identifier link at the top of the page.
Multi-sensor, multispectral, multimodal, hyperspectral, image data
Processed micro-tomographic scan of the ant Pseudomyrmex sp pallidus group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0032, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0032 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This is a global and multi-annual space-borne data set of tropospheric {H2O,δD} pairs based on radiance measurements from the nadir thermal infrared sensor IASI (Infrared Atmospheric Sounding Interferometer) onboard the Metop satellites of EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites). The data set is an a posteriori processed extension of the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) IASI full product dataset (DOI:10.35097/408). The data are available for all cloud-free MUSICA IASI retrievals for the continuous time period between October 2014 and June 2019 and with a global coverage twice per day (local morning and evening overpass times). The data set contains the H2O and δD vertical profile together with estimations of the leading error components, and information on the vertical representativeness in form of the averaging kernels. The complete data set has a volume of about 7 TB and is archived at bwDataArchive (a long-term data archive for scientific data). Details on data format, access, and authenticity are given in the file "ReadMe.pdf". The files "*.md5" collect the MD5 checksums of the data in bwDataArchive and allow the verification of the authenticity of the data set provided via the download link. The file "IASIAB_MUSICA_030201_L2pp_H2Oiso_v2_20180801_morning_global.nc" is an example of the data set and contains all morning data of 01 August 2018.
MUSICA IASI water isotopologue pair product (a posteriori processing version 2)
Processed micro-tomographic scan of the ant Tetramorium hispidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulation data for Figures 4, 10, 14, 15, 16.
Directly fixed and sealed ultra-thin membranes in microfluidic bioreactor - Data of Simulations
Processed micro-tomographic scan of the ant Dorymyrmex aff pyramicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data sets comprise EinsMan (renewable feed-in management) data of the distribution system operators EDIS, Schleswig Holstein Netze, Bayernwerke and Avacon. These distribution system operators account for numerous feed-in management measures in the German power grid (for wind or solar generation). Due to the rise of the renewable energy share in the German electricity generation mix there is an increase in congestion in the German transmission and distribution grids. There are in general several measures in place to handle congestion. Often feed-in management (only renewable sources) is used, which raises several research questions. The data set provides a basis for their investigation. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2018. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
The data is uploaded in separate zip-Files for each grid operator. The zip files contain daily .csv files which use the separator ",". Each file has the following columns: ID, Einsatz-ID, Start, Ende, Dauer(min), Gebiet, Ort Engpass, Stufe(%), Ursache, Anlagenschluessel, Anforderer, Netzbetreiber, Anlagen-ID and Entschädigungspflicht. Please be aware while using to change the encoding to "utf-8" or "ISO-8859-1" to not run into encoding issues while reading in the data. For all non-German speakers the column names are translated below: - Einsatz-ID : Action-ID - Start : start - Ende : end - Dauer (min) : duration (min) - Gebiet : area - Ort Engpass : location of congestion - Stufe(%) : Level(%) - Ursache : Reason - Anlagenschluessel : Installation key (specific description regarding german regulations) - Anforderer : requester - Netzbetreiber : grid operator - Anlagen-ID : installation ID - Entschädigungspflicht : liability for compensation
Renewable feed-in management data Germany 2015-2018
An updated version of this data set is available at http://dx.doi.org/10.5445/IR/1000125576
energy electricity electricity grid electricity consumption electricity generation
The German electricity system in 2030: data on consumption, generation, and the grid
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0011, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0011 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This is the source code for data generation and plotting accompanying the work "Noisy Qudit vs Multiple Qubits: Conditions on Gate Efficiency for Enhanced Fidelity" (2024) by D.Jankovic, J-G. Hartmann, P-A. Hervieux, M. Ruben. This jupyter IPython notebook contains a section per figure or pair of figures. Each section imports and/or generates and saves the data that are then plotted. The dat/ folder contains the pulses generated as described in the Methods section of the paper. "qudit.py" is a custom library for easy interfacing of qudit systems with qutip.
Source Code for data generation and pulses data for Noisy Qudit vs Multiple Qubits
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V4 (videos)
Raw data for ex situ and in situ/operando characterization, catalytic testing and DFT calculation results Additional Affiliation of Paolo Dolcet: Dipartimento di Scienze Chimiche Università degli Studi di Padova Via Francesco Marzolo 1 35131 Padova, Italy Additional Affiliation of C. Kübel: Institute of Materials Research Technical University Darmstadt (TUDa) Peter-Grünberg-Straße 2, 64287 Darmstadt, Germany
Highly Active Oxidation Catalysts through Confining Pd Clusters on CeO2 Nano-Islands - raw data
Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur erfasst werden können.
** Folder "products" ** Mosaicked Geotiffs of two Datasets (Run 310 and Run 314). Including RGB, NDVI and thermal data (intensities only). ** Folder "rawdata" ** Datasets of different locations acquired during UAS campaigns with a multi modal sensor system including Data of thermal infrared sensor Flir Tau 2 640 (TIR), RGB of Mapir Survey 3 and hyperspectral data acquired with the Cubert S185 (HS). Raw Data of various Datasets: 1. Run 310 - Run 314 (RGB, TIR, HS) * Location: Nittel, Germany, 49.661411, 6.464998 * Date: 16.07.2019 2. Run 318 - Run 319 (RGB, TIR, HS) * Location: Nieder-Olm, Germany, 49.895667, 8.207172 * Date: 04.09.2019 3. Run 320 - Run 322 (RGB, TIR) * Location: Mayen, Germany, 50.334727, 7.243786 * Date: 17.12.2019 Sub-folder Cubert: Data of flight, dark-reference and white-reference measurements (reflectance = 0.51). Sub-folder Flir: csv files of TIR sensor containing data and meta data, additional jpg file. Data captured with ThermalCapture 2.0. Data converted using Thermoviewer. Sub-folder Mapir: JPG files of RGB Camera. File *.spz: measurements of an irradiance spectrometer (qmini,RGB Photonics). Not calibrated. ** Folder "matlabcode" ** Code to load used data with matlab.
UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 2)
The files contain the data presented in Gasch et al., 2023, which are obtained from ADL simulations described there. Further information on the data can be found in the document 'AMT_2023_Gasch_et_al_documentation.pdf'
Simulation results for Gasch et al., 2023, AMT: Advancing airborne Doppler lidar wind profiling in turbulent boundary layer flow – an LES-based optimization of traditional scanning-beam versus novel fixed-beam measurement systems
Processed micro-tomographic scan of the ant Odontoponera denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data related to: “Volatility of secondary organic aerosol from β-caryophyllene ozonolysis between 213-313 K” by Gao et al., Environ. Sci. & Technol., 2023. 1. Excel file “Data_manuscript_Gao_EST_2023” includes: Figure 1. Mass spectra and sum thermogram of SOA at 213 K - 313 K. Notes: Mass spectra are reprinted with permission under the terms of the Creative Commons Attribution 4.0 License1. Copyright 2022 L. Gao. (KITopen-ID: 1000144632). Figure 2. Fixed-peak gaussian fit for C15H24O3I- at the 213 K, 243 K, 273 K, and 298 K. Notes: The 6-peak gaussian fitting is done using a home made code in MATLAB2018b. The relative fitting error is 1.4%, 2.0%, 1.4%, and 20.1% for SOA213K, SOA243K, SOA273K and SOA298K, respectively. Figure 3. Factor contribution to β-caryophyllene SOA at five formation temperatures. Figure 4. One-dimensional volatility basis set (1D-VBS) based on the volatility calibration and formula method for SOA formed at temperatures (from top to bottom) of 213 K - 313 K. Notes: The estimation of volatility (log10C* at 298 K, log10Csat at 298 K) can be found in the Experimental Section in the manuscript. Table 1. Summary on the average molecule formula, molecular weight (MW), O:C, OSC, and Tmax of 12 PMF factors. Notes: The error of the 12-factor PMF solution can be found in Figure S7 in the supplement. 2. Excel file “Data_supplement_Gao_EST_2023” includes: Figure S1. Correlation between temperatures of maximum desorption (Tmax) and the known saturation vapor pressures (VP) of seven carboxylic acids. Figure S2. Van-Krevelen diagram for β-caryophyllene-dereived particles during the SOA generation period at all temperatures from HR-AMS measurements. Figure S3. Comparison of O:C ratio, H:C ratio, and OSC of SOA particles formed at 213 K - 313 K between the measurements from HR-AMS and FIGAERO-CIMS. Figure S4. The contribution of C15H24O3 in both gas and particle phases for all SOA formation temperatures. Figure S5. A 12-factor PMF solution for β-caryophyllene SOA particles at five temperatures. Figure S6. Q/Qexp values for the varying number of factors in PMF solutions, and varying fpeak in a 12-factor PMF solution. Figure S7. Residual, relative residual, and Q/Qexp change for all samples when varying the number of factors and fpeak values. Figure S8. One-dimension volatility basis set (1D-VBS) based on the formula method for monomers, dimers, and trimers in the SOA particles formed at 213 K – 313 K. Table S1. Compilation of experimental conditions, concentration of β-caryophyllene and O3. Note: This table is reprinted with permission under the terms of the Creative Commons Attribution 4.0 CC BY License1. Copyright 2022 L. Gao. (KITopen-ID: 1000144632). Table S2. Compounds used for the volatility calibration and saturation vapor pressures from literature. Table S3. Compilation of O:C ratios, H:C ratios, OSC, derived from FIGAERO-CIMS measurements and the Tmax of sum thermograms.
We investigated secondary organic aerosol (SOA) from β-caryophyllene oxidation generated over 213-313 K from ozonolysis. Positive matrix factorization (PMF) was used to deconvolute the desorption data (thermograms) of SOA products detected by a chemical ionization mass spectrometer (FIGAERO-CIMS). A non-monotonic dependence of particle volatility (saturation concentration at 298 K, C_298K^*) on formation temperature (213-313 K) was observed, primarily due to temperature-dependent formation pathways of β-caryophyllene oxidation products. The PMF analysis grouped detected ions into 11 compound groups (factors) with characteristic volatility. These compound groups act as indicators for the underlying SOA formation mechanisms. Their different temperature response revealed that the relevant chemical pathways (e.g., autoxidation, oligomer formation, and isomer formation) had distinct optimal temperatures between 213–313 K, significantly beyond the effect of temperature-dependent partitioning. Furthermore, PMF-resolved volatility groups were compared with volatility basis set (VBS) distributions based on different vapor pressure estimation methods. The variation of the volatilities predicted by different methods is affected by highly oxidation oxygenated molecules, isomers and thermal decomposition of oligomers with long carbon chains. This work distinguishes multiple isomers and identifies compound groups of varying volatility, providing new insights into the temperature-dependent formation mechanisms of β-caryophyllene-derived SOA particles.
Volatility of secondary organic aerosol particles from beta-caryophyllene
Volatility of secondary organic aerosol from β-caryophyllene ozonolysis between 213-313 K
Processed micro-tomographic scan of the ant Oxyepoecus myops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Tabletop Microplotter - Substrate Holder Plate
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0042, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0042 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Tharp, G. D., Newhouse, R. K., Uffelman, L., Thorland, W. G., & Johnson, G. O. (1985). Comparison of Sprint and Run Times with Performance on the Wingate Anaerobic Test. Research Quarterly for Exercise and Sport, 56(1), 73–76. https://doi.org/10.1080/02701367.1985.10608434In recent years the classic Margaria step-test for anaerobic power has been largely replaced by bicycle ergometer tests, the most popular of these being the Wingate Anaerobic Test (WAnT). The purpose of this study was to examine the relationship between the WAnT and sprint-run times and to determine the influence of age and weight on the WAnT scores. The 56 male volunteers (age 10–15 years) recruited from a track club and junior high school represented a wide range of athletic abilities. Subjects were tested for anaerobic power (5 sec output) and capacity (30 sec output) using the Wingate test procedures. Wingate scores for anaerobic power and capacity were only moderately correlated with 50 yd dash times (r = −.53 and −.53) and with the 600 yd run (r = −.26 and −.29). Partial correlations between these variables were lower when age adjusted and higher when adjusted for body weight. Results of this study indicate that the Wingate anaerobic test is only a moderate predictor of dash or run times, but becomes a stronger predictor when WAnT scores are adjusted for body weight.
Comparison of Sprint and Run Times with Performance on the Wingate Anaerobic Test
Documents: -Design of Experiments: Path information and technological values of the experiments -Data: All dataframes organized by milling machine, material, workpiece and process. -NC Code: NC programs executed on the machines Experimental data: -Machine: Retrofitted DMC 60H and DMG CMX 600 V -Material: S235JR, 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
The present dataset is intended to serve as a basis for developing time series prediction models for milling machines. For this purpose, milling processes were recorded with a sampling rate of 500 Hz on a DMG CMX 600 V (DOI: 10.5445/IR/1000157789) and a DMC 60H (DOI: 10.35097/1738) with a Siemens Industrial Edge. A model training component (workpiece 1) and a validation component (workpiece 2) were milled. Both were used to machine steel and aluminum. Several records were taken with and without the workpiece (aircut) to represent different levels of complexity. The datasets have been prepared as a standardized CSV file for ease of use. The process datasets are extended with simulated input signals according to "Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models" (DOI: 10.5445/IR/1000165753). The simulated forces of the DMC 60H were divided by an experimentally determined machine coefficient to obtain a more accurate approximation of the actual forces. The coefficients are 5.42189 for aluminum and 2.78245 for steel.
Der vorliegende Datensatz soll als Grundlage für die Entwicklung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse dienen. Dazu wurden Fräsprozesse mit einer Abtastrate von 500 Hz auf einer DMG CMX 600 V (DOI: 10.5445/IR/1000157789) und einer DMC 60H (DOI: 10.35097/1738) mit einer Siemens Industrial Edge aufgenommen. Es wurde ein Bauteil für das Modelltraining (Bauteil 1) und ein Bauteil für die Validierung (Bauteil 2) gefertigt. Beide wurden sowohl für die Bearbeitung von Stahl als auch von Aluminium verwendet. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) gemacht, um unterschiedliche Komplexitäten abbilden zu können. Die vorhandenen Datensätze wurden für eine einfache Anwendung als standardisierte CSV-Datei aufbereitet. Die Prozessdatensätze wurden um simulierte Inputsignale gemäß "Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models" (DOI: 10.5445/IR/1000165753) erweitert. Die simulierten Kräfte der DMC 60H wurden durch einen experimentell bestimmten Maschinenkoeffizienten dividiert, um eine genauere Annäherung an die tatsächlichen Kräfte zu erhalten. Die Koeffizienten betragen 5,42189 für Aluminium und 2,78245 für Stahl.
Training and validation dataset 3 of milling processes for time series prediction
Jorge Sanchez, Antoine Amsaleg, Axel Loewe
In Silico Characterization of the Sinoatrial Node (v2.0)
Processed micro-tomographic scan of the ant Tetramorium aculeatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex hopei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium metactum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex ejectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rossomyrmex quandratinodum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers suspended in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the manufactured solid composite the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Relative to the range $[0,1]$ the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 10\,\%$ in the channel and $\pm 30\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
Die aktualisierten Daten finden Sie unter http://dx.doi.org/10.5445/IR/1000126534
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 2)
Processed micro-tomographic scan of the ant Ponerinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
We present high resolution measurements of pollutant trace gases in the South Atlantic Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the SouthTRAC (Transport and Composition in the Southern Hemisphere Upper Troposphere/Lower Stratosphere) campaign with bases in Oberpfaffenhofen, Germany, and Rio Grande, Argentina, on board the German High Altitude and Long range research Aircraft (HALO), 2019. Measurements of peroxyacetyl nitrate (PAN), ethane (C$_2$H$_6$), formic acid (HCOOH), methanol (CH$_3$OH), and ethylene(C$_2$H$_4$) show strong local enhancements up to altitudes of 14 km. More than 1000 pptv of PAN, more than 1400 pptv of C$_2$H$_6$, more than 600 pptv of HCOOH, more than 4000 pptv of CH$_3$OH, and more than 200 pptv of C$_2$H$_4$ are observed.
GLORIA data for: Biomass burning pollution in the South Atlantic upper troposphere: GLORIA trace gas observations and evaluation of the CAMS model
This data set consists of vertical profiles of water vapor (H2O) and its isotope ratio D/H expressed as δD(H2O) measured in-situ by the ISOWAT-II diode-laser spectrometer aboard an aircraft. The measurements were made between 150 and about 7000 m a.s.l., with a vertical resolution of 3 m, and during 7 days in July and August 2013 over the subtropical North Atlantic Ocean near Tenerife. The measurements were realized in the framework of the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) project.
Diode-laser Spectrometer, H2O, HDO, Water Vapour, Water Vapour Isotopologues, Vertical Tropospheric Profile, Subtropical Ocean
MUSICA ISOWAT-II water isotopologue data
Synchrotron X-ray microtomographic data of 45 female uropodid mites highlighted in Naredo et al. 2025. The original tomograms were converted to 8 bit, aligned and cropped and the background was removed.
Overview of the folder structure: --------------------------------- The folder here correspond to the section in the Communications Materials paper "Large characteristic lengths in 3D chiral elastic metamaterials" by Tobias Frenzel, Vincent Hahn, Patrick Ziemke, et. al. - 3. Microstructure Calculations Contains both beam theory and finite volume element calculations of the microstructure. - Results Beam Thoery contians the tabulated results obtaint by the abaques files as .dat and .txt files as well as the abaqus files used to calculate the data in the paper, the data stored here is displayed in Fig. 3, Fig. 5, Fig. S1, Fig. S3. - Results Volume Elements contians the tabulated results obtaint by the comsol files as .dat and .txt files as well as the comsol files used to calaculate the data. in the paper, the data stored here is displayed in Fig. 5, Fig. S1, Fig. S3. - 4. Micropolar Continuum Elasticity Contains the Comsol files with the micropolar continuum implementation - Relsuts Micropolar Elasticity contians the tabulated results obtaint by the comsol files as .dat and .txt files as well as the corresponding comsol file - 5. Experiments Contains all the picture obtained during measurement for the different samples - Multifoucs setup in the subfolder, the data for varius scaling Factors N are included. Every subfolder also contains the text data "rotation_angle.txt" with the extracted rotation angles - Nanoscribe setup same es in the previous folder, but for different samples - Fabrication contains all files nessecary to print the structures using the direct laser writing setups Treatment of the experimental data ---------------------------------- - a grid was created with the regions of intrest that should be tracked for evaluation using "grid_generator.m" - a filelist including all picture names was created using "filelist_generator.m" - the image cross-correlation was performed using "automate_image2" - using the matlab scriped "evaluation_roation.m" or "evaluation_rotation_Graphics.m" that is included in every folder "N_1", "N_c", etc. the rotation angle was evaluated and written to a text file "rotation_angle.txt" in the same folder.
Large characteristic lengths in 3D chiral elastic metamaterials
Satellite-based Climate Monitoring, Deutscher Wetterdienst (DWD), Offenbach, Germany
Biodiversity and Landscape Unit, Université de Liège Gembloux Agro-Bio Tech, Gembloux, Belgium
HydroSciences Montpellier, Univ. Montpellier, IRD, CNRS, Montpellier, France
CIRAD, UMR Eco&Sols, BP1386, CP18524, Dakar, Senegal
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Laboratoire d’Ecologie Appliquée, Faculté des Sciences Agronomiques, Université d’Abomey-Calavi, Cotonou, Bénin
Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
Géosciences Environnement Toulouse (GET), CNRS, IRD, UPS, Toulouse, France
International Livestock Research Institute (ILRI), Ouagadougou, Burkina Faso
Centre de Suivi Ecologique (CSE), Dakar, Senegal
West African Sahelian and Sudanian ecosystems are providing essential services to people and also play a significant role within the global carbon cycle. However, climate and land use are dynamically changing and it remains uncertain how these changes will affect the potential of these regions for providing food and fodder resources or the biosphere-atmosphere exchange of CO2. In this study, we investigate the capacity of a process-based biogeochemical model, LandscapeDNDC, to simulate net ecosystem exchange (NEE) and aboveground biomass of typical managed and natural Sahelian and Sudanian savanna ecosystems. We tested the model for various sites with different proportions of trees and grasses, as well as for the most typical arable cropping systems of the region. In order to describe the phenological development with a common parameterization across all ecosystem types, we introduced soil-water availability in addition to temperature as a driver as seasonal soil water-shortage is a common feature for all these systems. The new approach was tested by using a sample of sites (calibration sites) that provided NEE from flux tower observations and leaf area index data from satellite images (MODIS). For assessing the simulation accuracy, we applied the calibrated model to 42 additional sites (validation sites) across West Africa for which measured aboveground biomass data were available. The model showed a good performance regarding simulated biomass development. Overall, the comparison of simulated and observed biomass at sites with a dominating land cover of crops, grass or trees yielded correlation coefficients of 0.82, 0.94, and 0.77 and the Root Mean Square Error of 0.15, 0.22, and 0.12 kg m−2, respectively. In absolute terms, the model results indicate above-ground carbon stocks up to 1733, 3291, and 5377 kg C ha−1 yr−1 for agricultural, savanna grasslands, and savanna mixed tree-grassland sites. Carbon stocks as well as exchange rates correlated in particular with the abundance of trees. The simulations indicate higher grass biomass and crop yields under more humid climatic conditions as can be found in the Sudanian savanna region. Our study shows the capability of LandscapeDNDC to accurately simulate carbon balances in natural and agricultural ecosystems in semi-arid West Africa under a wide range of conditions, so that it might be used to assess the impact of land-use and climate change on the regional biomass productivity.
Gas exchange, biomass production, West Africa, LandscapeDNDC,
Modelling Gas Exchange and Biomass Production in West African Sahelian and Sudanian Ecological Zones
Bei den Daten handelt es sich um eine 7z-komprimierte Datei der Eingabe- und Ausgabedateien von und für die Berechnung des wasserstoffbrückengebundenen Polymers, das für die Veröffentlichung in der Zeitschrift „Nanoscale“ (DOI: 10.1039/C9NR04152D und zusätzliche Daten, siehe unten) relevant ist.
The files are compressed/encrypted with 7zip.
The data is a 7z compressed file of the input and output fortran files of and for the calculation of the Hydrogen bonded polymer of relevance to the nanoscale publication (DOI: 10.1039/C9NR04152D and the Supplementary File, see below).
BTAH Hydrogen bonded polymer NEXAFS StoBe calculation
Processed micro-tomographic scan of the ant Camponotus polyrhachiodes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma indicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is one reference measurement with 1000 ppm NH3 in He at 200 °C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: NH3 @ 200°C dataset
Data to reproduce the figures in Manuscript is provided in txt format with comma deliminiter.
Improved Identifiability of Kinetic Parameters in Lithium-Ion Batteries via Nonlinear Frequency Response Analysis
Processed micro-tomographic scan of the ant Crematogaster cf crinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster concolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
ANDeS: An automated nanoliter droplet selection and collection device
The database for the project "MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle" contains the data of measurements and analyses of the Department of Structural Geology and Tectonics. The database contains all point-count results, measurements of porosity and permeability (up to 50 MPa confining pressure), and the measured geotechnical parameters of individual samples.
Die Datenbank zu "MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle" enthält die erhobenen Daten aus Messungen und Analysen der Arbeitsgruppe Strukturgeologie und Tektonik. Enthaltene Daten sind die Point-Counting Ergebnisse, Messungen der Porosität und Permeabilität (bis 50 MPa Umgebungsdruck) und die gemessenen Geomechanischen Kennzahlen einzelner Proben.
Data may be used for individual non-commercial research projects without being altered or modified.
Datenbank zu MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle
Each text file in the dataset contains the data specific to each figure presented in the main paper or Supplementary Information (SI). The name of each text file matches the figure number it represents (e.g., 'Figure1.txt' contains the data for Figure 1). Each file contains the data that belongs to its corresponding figure, facilitating straightforward analysis and interpretation. The .txt format is widely accessible and can be opened using various text editors, spreadsheet programs like Microsoft Excel, and statistical software such as R and Python.
Ammonia synthesis rate over a wide operating range: from experiments to validated kinetic models
The data set comprises CH4 (methane) data of the Earth's uppere troposphere and middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, CH4_61), RR-NOM (2005 - 2012, CH4_261), RR-UTLS-1 (2005 - 2007, CH4_161), RR-MA (2005 - 2012, CH4_561 & CH4_562), and RR-UA (2005-2012, CH4_662) are covered. Data versions CH4_161, CH4_261, and CH4_561 are compatible and could be used together. The same holds for data versions CH4_562 and CH4_662. The data is based on version V8 infrared spectra.
MIPAS Envisat upper troposphere middle atmosphere stratosphere mesosphere UTLS methane CH4
IMK/IAA MIPAS retrievals version 8: CH4, the data set
Processed micro-tomographic scan of the ant OUTGROUP_Anterhynchium flavomarginatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Scolia hirta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Meta data
This dataset contains SEM and AFM characterization data of the hydrophobic silica nanoparticle coatings applied to multiplexed ECL electrodes. The measurements provide detailed information on coating morphology and thickness. Comparative images before and after NaOH hydrolysis confirm the effective removal of the silica layer and the corresponding surface cleaning and activation of the gold electrode.
Processed micro-tomographic scan of the ant Technomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Tabletop Microplotter - Height Adjustment for Webcam Holder
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated mesoporous sample Ni/Al$_{2}$O$_{3}$-ma. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an activated mesoporous Ni/Al$_{2}$O$_{3}$ catalyst
PRESLHY Experiment series 5.3; block ratio: 30%; initial temperature: ambient (warm)
Processed micro-tomographic scan of the ant Cyphomyrmex laevigatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This reproduction package provides different artifacts for the evaluation of the dissertation "Consistent View-Based Management of Variability in Space and Time". It contains source code, input data, ground truth, precomputed results and a prepared Eclipse IDE for reproducing the evaluation results of the unified approach presented in the dissertation.
Reproduction Package for the Dissertation on Consistent View-Based Management of Variability in Space and Time
The data is organized in folders that correspond to the figures in the corresponding publication (https://doi.org/10.1016/j.mattod.2022.08.020). Each folder contains a README.txt file that explains the contained data in detail.
# In-Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS Please see provided Jupyter Notebook "README" for further information. This dataset is part 1 of 2.
In Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS - Part 1
Classification of 3D models is an open research problem. Many architectures have been proposed to classify 3D models. However, most architectures have tackled the ModelNet (Wu et al. 2015) or ShapeNet (Chang et al. 2015) datasets which offer everyday objects. To test the limitations of existing architectures and motivate new architectures, we present a challenging dataset of 3D models of flanges. There are two variants of flanges in this dataset: 1) 4 holes vs 8 holes and 2) 1 to 9 hole flanges. These holes are placed randomly on the flange faces and also in a regular fashion. Not only does this dataset stress test classification ability of existing architectures, but also promotes visualisation and explanation of learned concepts to match with human reasoning. These models are for demonstration purpose only and do not reflect actual products.
Institut für Photonenforschung und Synchrotronstrahlung
Contains the raw data for all data that is included in the Figures as published in the related journal article.
Interfacial engineering has fueled recent development of p-i-n perovskite solar cells (PSCs), with self-assembled monolayer-based hole-transport layers (SAM-HTLs) enabling almost lossless contacts for solution-processed PSCs, resulting in the highest achieved power conversion efficiency (PCE) to date. Substrate interfaces are particularly crucial for the growth and quality of co-evaporated PSCs. However, adoption of SAM-HTLs for co-evaporated perovskite absorbers is complicated by the underexplored interaction of such perovskites with phosphonic acid functional groups. In this work, we highlight how exposed phosphonic acid functional groups impact the initial phase and final bulk crystal structures of co-evaporated perovskites and their resultant PCE. The explored surface interaction is mediated by hydrogen bonding with interfacial iodine, leading to increased formamidinium iodide adsorption, persistent changes in perovskite structure, and stabilization of bulk α-FAPbI3, hypothesized as being due to kinetic trapping. Our results highlight the potential of exploiting substrates to increase control of co-evaporated perovskite growth.
Research data for: Understanding and exploiting interfacial interactions between phosphonic acid functional groups and co-evaporated perovskites
Revealing the mechanism of reductive, mechanochemical Li recycling from LiFePO4
Karlsruhe Institute of Technology; Inst. of Microstructure Technol.
Karlsruhe Institute of Technology; Institute of Functional Interfaces
Karlsruhe Institute of Technology; Inst. of Microstructure Technol., Inst. of Advanced Membrane Technol.
Karlsruhe Institute of Technology; Inst. of Advanced Membrane Technol.
Karlsruhe Institute of Technology; Institute of Functional Interfaces, KNMFi
Time-of-flight Secondaty Ion Mass Spectrometry, Water treatment/reuse, porphyrins, singlet oxygen, photocatalytic degradation, solar energy
Enhanced photocatalytic efficiency via improved contact in a solar-driven membrane reactor for steroid hormone removal
Processed micro-tomographic scan of the ant Strumigenys appretiata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex latiscapus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Recurvidris kemneri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The archive contains a Jupyter Notebook file and load test data collected with k6. The collected data is stored in a pickle format in the folder data. To load the data, Python3 as well as Jupyter Notebooks is required.
Load Test Data for Authorization Implementations of a Microservice-Based Application
Original raw data and analysis of 2D and 3D reconstruction based on phantoms. Detailed descriptions of the file types and the data are stored in a separate description.txt file.
Electron tomography (ET) has attracted significant attention for a quantitative analysis of mesoporous materials, especially for complex disordered pore structures, as no priori assumptions on the pore shape is needed, which is normally inevitable when using traditional bulk characterization techniques. However, a reliable quantification of such pore structure from ET highly depends on the fidelity of segmented reconstruction, which can be significantly affected, e.g. by the raw data quality, the limited tilting range, artifacts introduced during alignment and further depends the reconstruction algorithm. Therefore, we systematically investigate the reconstruction reliability of three main-stream algorithms including simultaneous iterative reconstruction technique (SIRT), total variation minimization (TVM) and discrete algebraic reconstruction technique (DART) for mesoporous materials using different imperfect (realistic) tilt-series based on a set of phantom simulations. We found that DART outperforms the other two methods in reliably revealing small pores and narrow channels, especially when the number of projections is strongly constrained. The accurate segmented reconstruction from DART makes it possible to achieve reliable quantification of pores structure, which in turn leads to reliable evaluation of effective diffusion coefficients. We discuss the influence of different acquisition and reconstruction parameters on the reconstructed 3D volume and the quantitative analysis of pore features. We aim to provide a practical guideline for optimizing acquisition and reconstruction parameters and how to evaluate the accuracy when describing the mesoporous structure.
Quantitative Analysis of Mesoporous Structures by Electron Tomography: A Phantom Study
This archive contains A) the data and B) the analysis scripts corresponding to the manuscript “Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations” by Christoph Braun [1], Aiko Voigt [2], Corinna Hoose [1], Annica M. L. Ekman [3], and Joaquim G. Pinto [1] [1] IMK-TRO, Karlsruhe Institute of Technology [2] IMG, University of Vienna [3] Department of Meteorology and Bolin Center for Climate Research, Stockholm University, Stockholm, Sweden Please contact Christoph Braun (christoph.braun@kit.edu) or Aiko Voigt (aiko.voigt@univie.ac.at) if you have questions regarding the content of this archive. A) Data The dataset contains postprocessed model output data produced with the general circulation models “Community Atmosphere Model v3.1” (CAM) from the National Center for Atmospheric Research, Boulder, Colorado, and “ICOsahedral Nonhydrostatic” model with the climate physics package (version AES 1.3.00), and the numerical weather prediction and large eddy model packages (version 2.6.1) from the Max-Planck Institute of Meteorology, Hamburg, Germany and the German Weather Service, Offenbach, Germany. The dataset contains - 2d data for all global simulations and 3d data for selected global simulations; zonal-mean and global-mean monthly-mean and climatological data (format: netcdf) - 2d data, cross sections and vertical profiles for ICON-NWP model hierarchy - initial and boundary conditions (format: netcdf) or the scripts to obtain initial and boundary conditions from conducted simulations - runscripts (located in the subdirectories corresponding to each model) The data is organized in 9 subdirectories. 4 subdirectories contain the simulation output data corresponding to the 4 models CAM, ICON-AES, ICON-NWP, and ICON-LEM. We describe how we obtained and modified the models in the files “CAM_description”, “ICON-AES_description”, and “ICON-NWP_description”. We also provide the runscripts for the conducted simulations. One subdirectory contains the grids required for the simulations as well as the files to create the limited area grids using the grid generator provided by the DWD ICON-TOOLS 2.3.3. 4 sudirectories contain the initial and boundary conditions as well as the remapping scripts to obtain the initial and boundary conditions for the ICON-NWP/-LEM model hierarchy. The latter is described in the file “Create_initial_and_boundary_conditions_ICON-NWP_and_ICON-LEM”. Postprocessing of the simulation output data was performed using the Climate Data Operator software provided by DKRZ. B) Analysis scripts The analysis scripts are located in the subdirectory “analysis_scripts”. The directory "analysis" contains intermediate results generated by the analysis scripts and the directory "figures" contains the figures generated by the analysis scripts. To run the analysis scripts we applied the Kernel „Python 3“ as provided by the German Climate Computing Center (DKRZ).
Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations - Dataset and analysis scripts
Processed micro-tomographic scan of the ant Bothroponera cf kruegeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2011 - 2020
The videos are related to a publication "Formation, Growth, and Shrinkage of Voids in Lithium Metal in Contact With an LLZO Electrolyte" (doi: Chemrix). The dataset includes videos showing SEM observations in combination with electrochemical measurements.
Formation, Growth, and Shrinkage of Voids in Lithium Metal in Contact With an LLZO Electrolyte - Data
Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi: https://doi.org/10.5067/GPM/IMERG/3B-HH/06) Data format: netCDF Time resolution: daily (365 calendar days) Latitude band: 40°S–40°N Spatial resolution: 0.1°x0.1° (800x3600 points) Content: Parameters (prob, shape, scale) of a fitted Bernoulli-gamma distribution derived from +/-15 days windows around each calendar day of the years 2001–2018. Value: The EPC dataset provides statistical distributions of daily rainfall for the entire global tropics with a high spatial resolution using one of the most accurate satellite-based rainfall estimates. This can be used for a climatological characterization and as a probabilistic reference forecast against which weather forecasts generated with computer or statistical models can be evaluated. Details: Walz et al. (2021, doi: https://doi.org/10.1175/WAF-D-20-0233.1) Reference: The research leading to these results has been accomplished within project C2 "Statistical-dynamical forecasts of tropical rainfall" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).
Extended probabilistic climatology (EPC), as a reference forecast for precipitation in the tropics (Version 2)
Processed micro-tomographic scan of the ant Megalomyrmex drifti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
These are the experimental data for the paper> Bach, Jakob, Markus Iser, and Klemens Böhm. "A Comprehensive Study of k-Portfolios of Recent SAT Solvers" published at the conference [*SAT 2022*](http://satisfiability.org/SAT22/). You can find the paper [here](https://www.doi.org/10.4230/LIPIcs.SAT.2022.2) and the code [here](https://github.com/Jakob-Bach/Small-Portfolios). See the `README` for details.
# Experimental Data for the Paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers" These are the experimental data for the paper> Bach, Jakob, Markus Iser, and Klemens Böhm. "A Comprehensive Study of k-Portfolios of Recent SAT Solvers" accepted at the conference [*SAT 2022*](http://satisfiability.org/SAT22/). Check our [GitHub repository](https://github.com/Jakob-Bach/Small-Portfolios) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` [CPU](https://www.amd.com/en/products/cpu/amd-epyc-7551) (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The Python version was `3.8.10`. With this configuration, the experimental pipeline (`run_experiments.py`) took about 25 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`d402353e7f`](https://github.com/Jakob-Bach/Small-Portfolios/tree/d402353e7f5804d3b693c3057f203a2c719c4098). The commit hash for the last run of the evaluation pipeline (`run_evaluation.py`) is [`5ba0468088`](https://github.com/Jakob-Bach/Small-Portfolios/tree/5ba0468088fc0ce0ce3d2f04229946c1df83fa9d). Both commits are also tagged. In the following, we describe: - how to use the experimental data - the structure/content of each data file ## Using the Data Most of the experimental pipeline's input and output files are plain CSVs. You can easily read in any of the CSVs with `pandas` if you are using Python: ```python import pandas as pd results = pd.read_csv('<path>/search_results.csv') ``` All CSVs were written with `<DataFrame>.to_csv(<path>, index=False)`, i.e., they follow `pandas`' defaults for CSVs, so it is unnecessary to pass further parameters when reading them in with `pandas`. The CSVs mostly contain plain numbers and strings; the latter are only quoted if necessary, e.g., if they contain commas. However, the column `solvers` in `search_results.csv` contains lists of solver names. You can convert this column from string to proper Python lists as follows: ```python import ast search_results['solvers'] = search_results['solvers'].apply(ast.literal_eval) ``` ## `*.db` files and corresponding `*.csv` files Raw instance-feature databases and solver-runtime databases from [GBD](https://gbd.iti.kit.edu), as well as CSV exports of them. Outputs of the script `prepare_dataset.py`. - `meta`: Meta-data of SAT instances, e.g., in which competition(s) the instances were used. We only use this information to filter instances for the experimental datasets but not as features for predictions. - `satzilla`: Instance features obtained with the feature extractor of [*SATzilla 2012*](https://www.cs.ubc.ca/labs/algorithms/Projects/SATzilla/Report_SAT_features.pdf). Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance; each column represents a feature (column names are feature names). The value `timeout` represents missing values (feature extractor exceeded time or memory limits). - `sc2020`: Solver runtimes from the [*SAT Competition 2020*](https://satcompetition.github.io/2020/). Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance (not all of them are actually from this SAT competition, so we filter instances later); each column represents a solver (column names are solver names). The values `failed`, `unknown`, and `timeout` represent missing values (solver did not solve instance within cut-off time). - `sc2021`: Solver runtimes from the [*SAT Competition 2021*](https://satcompetition.github.io/2021/). Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance (not all of them are actually from this SAT competition, so we filter instances later); each column represents a solver (column names are solver names). The value `timeout` represents missing values (solver did not solve instance within cut-off time). ## `sc(2020|2021)_features.csv` Pre-processed instance-feature data for the *Main Track* of the SAT Competitions 2020 and 2021. Output of the script `prepare_dataset.py`; input to the script `run_experiments.py`. Numeric matrix, apart from the `hash` column that identifies instances (we do not have any categorical features; they would need to be encoded beforehand). Each row represents a SAT instance; each column represents a feature (column names are feature names). Has the same number of rows as the corresponding runtime file. The empty string represents missing values caused by the feature extractor exceeding time or memory limits; these missing values are handled (imputed) in the prediction pipeline. ## `sc(2020|2021)_runtimes.csv` Pre-processed solver-runtime data from the *Main Track* of the SAT Competitions 2020 and 2021. Output of the script `prepare_dataset.py`; input to the script `run_experiments.py`. Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance; each column represents a solver (column names are solver names). Has the same number of rows as the corresponding feature file. Missing values were replaced with the double cut-off time according to PAR-2 scoring (= 10000). ## `search_results.csv` Results of portfolio search, e.g., portfolios, train/test objective values, and search times. Output of the script `run_experiments.py`; input to the script `run_evaluation.py`. - `solvers` (string, but actually a list of strings): List of the names of the solvers forming the portfolio. The solver names are column names in `sc(2020|2021)_runtimes.csv`. - `train_objective` (float): Objective value of a solution (= portfolio) to the `K-Portfolio-Problem`, using the SAT instances from the training data. The objective is defined as the PAR-2 score of the portfolio's virtual best solver (VBS). - `test_objective` (float): Objective value of the `K-Portfolio-Problem` for the SAT instances from the test data, i.e., take the solvers of the portfolio determined on the training data, and compute their VBS on the test instances (without running portfolio search again). - `(train|test)_portfolio_vws` (float): PAR-2 score of the virtual worst solver (VWS) formed from the portfolio, i.e., select the worst (in terms of PAR-2 score) solver from the portfolio for each instance. Might be used for comparison purposes; we do not use it in our evaluation. Bounds the objective value for portfolios with instance-specific solver selection. - `(train|test)_portfolio_sbs` (float): PAR-2 score of the single best solver (SBS) from the portfolio, i.e., the best individual solver contained in the portfolio. Might be used for comparison purposes; we use it in Figures 4 and 5 as a baseline. - `(train|test)_portfolio_sws` (float): PAR-2 score of the single worst solver (SWS) from the portfolio, i.e., the worst individual solver contained in the portfolio. Might be used for comparison purposes; we do not use it in our evaluation. - `(train|test)_global_sws` (float): PAR-2 score of the single worst solver (SWS) from all solvers (independent from current portfolio), i.e., the globally worst individual solver. Might be used for comparison purposes; we use it in Figures 1 and 2 for the submodularity-based upper bound. - `search_time` (float): Runtime (in seconds) of the portfolio search (on the particular dataset and cross-validation fold, with the particular portfolio-search approach). - `search_id` (int): Identifier denoting combinations of dataset, cross-validation fold, and portfolio-search approach. The experimental pipeline parallelizes these tasks. Each `search_id` might be associated with multiple portfolios; combining `search_id` and `solution_id` allows joining `search_results` and `prediction_results`. - `solution_id` (int): Identifier to distinguish between multiple portfolios found with a particular portfolio-search approach on a particular dataset and cross-validation fold. Apart from `mip_search` (the *optimal solution*), all search approaches yield multiple portfolios. - `fold_id` (int in `{0, 1, 2, 3, 4}`): Index of the cross-validation fold. - `problem` (string, 2 different values): Dataset name (in our experiments: `SC2020` or `SC2021`). - `algorithm` (string, 4 different values): Search approach used to determine portfolios (in our experiments: `beam_search`, `kbest_search`, `mip_search`, or `random_search`). - `k` (int in `[1, 48]`): Desired number of solvers in the portfolio, an input parameter to portfolio search. The actual number of solvers in column `solvers` might differ, as *beam search* and *k-best* are only run with the maximal `k` for each dataset, but also yield all smaller portfolios (intermediate results). - `w` (int in `[1, 100]`, but stored as float): Beam width if *beam search* was used, or number of random samples if *random search* was used. Missing value (represented as an empty string) for the other two search approaches. Input parameter to portfolio search. ## `prediction_results.csv` Results of predictions with portfolios, e.g., train/test prediction performance, train/test objective values, and feature importance. Output of the script `run_experiments.py`; input to the script `run_evaluation.py`. - `model` (string, 2 different values): Name of the prediction model (in our experiments: `Random Forest` and `XGBoost`). Each prediction model is trained for each portfolio from the search (thus, `prediction_results` has twice the number of rows as `search_results`). - `pred_time` (float): Runtime (in seconds) for training the prediction model (for one portfolio) on the training data, and making predictions on training data as well as test data. - `(train|test)_pred_mcc` (float in `[-1, 1]`): Prediction performance in terms of Matthews Correlation Coefficient for predicting the best solver from the portfolio for each instance. - `(train|test)_pred_objective` (float): PAR-2 score of the (instance-specific) solver recommendations made by the prediction model. - `imp.<feature_name>` (float in `[0, 1]`): Feature importances extracted from the prediction model after training. Importances are normalized and should sum up to one for each row. Missing values (represented as empty strings) occur if no prediction model was trained since the prediction target only had one class, e.g., portfolio had size one or always the same solver (out of multiple solvers) was best. - `search_id` (int), `solution_id` (int): Same as in `search_results.csv`, can be used for joining the results. ## `Evaluation_console_output.txt` Output of the script `run_evaluation.py`, manually copied from the console to a file.
Experimental Data for the Paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers"
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany
Department of Chemistry, University of Cambridge, Cambridge, UK
Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität, Munich, Germany
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, USA
Institute of Applied Geosciences, Technical University Darmstadt, Darmstadt, Germany
Institute of Functional Interfaces, Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
This data packages contains the data from Umo et al. (2021), The Influence of Chemical and Mineral Compositions on the Parameterization of Immersion Freezing by Volcanic Ash Particles, J. Geophys. Res. Atmos.. The data as shown in Figures 4,5,8,9, and Tables 1,2, and Supplement Tables 1,2 are formatted in comma-separated values (csv).
volcanic ash, aerosol, ice nucleation, mineralogy, mixed-phase clouds, cloud chamber, chemical composition, parameterization
Umo et al. (2021), data to: The Influence of Chemical and Mineral Compositions on the Parameterization of Immersion Freezing by Volcanic Ash Particles, JGR
Institut für Thermische Strömungsmaschinen
This repository contains the supplementary data to our contribution "Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry" to the 2022 Measurement Science and Technology special issue on the topic “Machine Learning and Data Assimilation techniques for fluid flow measurements”. This data includes annotated images used for the training of neural networks for particle detection on DPTV recordings as well as unannotated particle images used for training of the image-to-image translation networks for the generation of refined synthetic training data, as presented in the manuscript. The neural networks for particle detection trained on the aforementioned data are contained in this repository as well. An explanation on the use of this data and the trained neural networks, containing an example script can be found on GitHub (https://github.com/MaxDreisbach/DPTV_ML_Particle_detection)
Defocusing Particle Tracking Velocimetry
Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry (data)
Die publizierten Daten sind eine Zusammenstellung der erforschten Rohdaten.
The data set contains research data related to the additive manufacturing of test specimens made of amorphous polyether ketone ketone (PEKK-A) and their characterization.
Der Datensatz enthält Forschungsdaten im Zusammenhang zur additiven Fertigung von Probekörpern aus amorphem Polyetherketonketon (PEKK-A) und deren Charakterisierung.
Research on poly(ether ketone ketone) PEKK
The data set contains the raw as well as the evaluated data from a subject study with 6 subjects to measure the mechanical impedance and the vibration power absorbtion while varying the grip and push forces in four levels between 25-135N and 30-100N respectively. For each subject 10 additional measurements at random grip and push force combinations were recorded for validation purposes. The subjects were randomised to hold the force levels while the measurement handle was excitated around the subjects palm (xh-axis according to DIN5349:2001) via a shaker system, with the posture of the subjects lying within the ranges specified in ISO 10819:2022. The measuring handle on which the study was conducted complies with the specifications in ISO10068:2012 for translatory excitations. To calibrate the handle for rotational excitation, a calibration function was calculated by exciting the handle with different weights. The excitation was a multisine with frequencies between 10 to 500 Hz in 5 Hz increments. Between 10 to 30Hz the amplitude of the multisines angular acceleration in the frequency domain are linearly increased from 20 to 100rad/s². From 30 to 500Hz to amplitude of the angular acceleration is at each frequency of the multisine 100rad/s². The acquisition time of each measurement is 16.5 sec, for the evaluation the data is cutted to exclude the first 2 sec and the last 3.5 sec. The data set for translatory excitation in zh-direction is published under: DOI: 10.35097/uwz0qdyzh8h8uekw KITopen-ID: 1000181216 The data set for rotatory excitation around the zh-axis is published under: DOI: 10.35097/vfrrc2hbxkujanz8 KITopen-ID: 1000185118
The data set consists of five types. 1) In table AnthroDemoMaxForcesTable.mat the anthropometric data, the gender and the maximum grip and push forces of the subjects are listed. 2) In Matrix resultsMatrix.mat the mechanical impedance and the phase angle of the measurements of the subjects study are summarized. The resulting mechanical impedance and the phase angle are already calibrated in each direction and can be used directly from the matrix. The matrix consists of two dimensions, the first is the mechanical impedance and the phase angle around the direction of excitation (xh), the second dimension is the cross-axial mechanical impedance and the phase angle around the zh-axis. The directions are named according to the coordinate system of DIN 5349:2001. Each row of the matrix represents one measurement. The following data information and results are in the corresponding columns: 1: number of the subect 2: is 0 if the grip and push forces during the measurements are within the range of 5N and 14%, otherwise a 1 is at this position. This can be used for data exclusion. 3: predefined push force value 4: predefined grip force value 5: experiment number according to the resultsMatrix for each subject 6: sequence of the taken measurements of each subject, due to a randomized test plan 7: mean measured grip force 8: median measured grip force 9: standard deviation of the measured grip force 10: mean measured push force 11: median measured push force 12: standard deviation of the measured push force 13: mechanical impedance at 10 Hz 14: phase angle at 10 Hz 15: mechanical impedance at 15 Hz 16: phase angle at 15 Hz 13:2:209 mechanical impedance between 10-500 Hz in 5 Hz steps 14:2:210 phase angle of the mechanical impedance between 10-500 Hz in 5 Hz steps 3) The VPAmatrix.mat is according to resultsMatrix.mat, instead of the mechanical impedance in positions 13:2:209 the vibration power absorption values are listed. Here, only the direction of excitation is evaluated. 4) Raw data, the data name consists of the time stamp and is named afterwards in the same order as the matrix: Px, where x is the number of the subject, followed by the push and then the grip force and the position in the matrix. In each struct the metadata, the time and the signals are saved. The excitation in the subject study was applied around the palm (xh according to DIN5349:2001). Therefore, the angular_acceleration_x is already calculated from the recorded accelerometer signals ax_top and ax_bottom (the acceleration at the top and bottom of the measuring handle) in excitation direction. Torque_around_x is the torque resulting from the force sensor signals Fx_top and Fx_bottom around the direction of excitation. Torque_around_x and the angular_acceleration_x are used to calculate the mechanical impedance and vibration power absorption around the excitation direction (dimension 1 in the resultsMatrix.mat file). The signals used for the second dimension of the resultsMatrix are Torque_around_z (resulting from Fz_top, Fz_bottom) and angular_acceleration_x. The exact calculation of the cross axis mechanical imepdance can be found under DOI 10.51202/9783181024508-83. The raw data includes the measurements of 16 levels of grip and push force combinations with three repetitions for each subject, as well as additionally measured validation data at random intermediate force levels. 5) emptyMeasurement.mat is a measurement of the unloaded handle while excited with the same signal as in the subject study. This file can be used for the calibration of the handle.
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces for Rotatory Excitation around the xh-Axis
Processed micro-tomographic scan of the ant Procryptocerus cf mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 15)
The analysis was performed with SPSS Statistics Version 26.0.0.0. Multifactorial analyses of variance (ANOVA) were performed to determine the influence of the factors on the withdrawal capacity. An ANOVA was carried out for each plane RT and TL to the wood fiber. A unified statistical model with the same thread parameters and their interactions was chosen for both planes. This model was developed based on the significant thread parameters and interactions of the individual models of the planes.
This manuscript contains study data and supplementary research data. This study aims to determine the influence of thread parameters of wood screws on withdrawal capacity. Threaded test objects were used for this purpose. This allowed the thread parameters to be varied selectively. Investigated parameters were: thread height a, lead P, lead angle φ, and thread angle α. For this, they were varied on two factor levels. This results in a total of 16 threaded test objects (GP_A to GP_P). The influences in spruce were investigated for a tangential screw-in direction. The threaded test objects can be examined in one screw-in direction at different planes RT and TL of the thread to the wood fiber. The pull-out tests were performed based on EN 1382 (2016).
Research Data on the Influence of Thread Parameters on the Withdrawal Capacity of Wood Screws
Natürliche und gebaute Umwelt (BL4), Karlsruher Institut für Technologie (KIT)
Städte und Gemeinden stehen vor der herausfordernden Aufgabe, ihre Kommunen an die zu erwartenden Folgen des Klimawandels anzupassen. Deutlich höhere Sommertemperaturen und Hitzeextremereignisse, ein klimatischer Wechsel von dem früher sehr häufigen und regelmäßigen Landregen im Sommer hin zu wochenlangen Dürrephasen, und vermehrt einzelne Starkregenereignisse deren Wassermassen die vorhandene Infrastruktur nicht abfangen kann - sind sehr wahrscheinliche Folgen, denen die heutige Planung gerecht werden muss. Die Kommunen stehen daher vor der herausfordernden Aufgabe, die Belange der Klimaanpassung bestmöglich in ihre Planungen zu integrieren. Zur Unterstützung wurde bereits eine große Vielzahl an Leitfäden zu kommunalen Klimaanpassung entwickelt und veröffentlicht - der Nachteil dieser Vielfalt jedoch ist der hohe Zeitaufwand, um sich über die diversen Themen einen Überblick zu verschaffen. Die hier vorliegenden Tabellen sind ein Versuch, undabhängig von spezifischen Projekten die vorhandene Vielfalt an konkreten Maßnahmen zur kommunalen Klimaanpassung und das vorhandene Wissen zu den Einzelmaßnahmen zusammenzutragen. Die Maßnahmen im besiedelten Raum sind zunächst nach ihrer Anpassungsthematik gegliedert, wobei einzelne Maßnahmen auch verschiedenen Anpassungsthemen dienen können. Die Maßnahmen sind zur besseren Übersicht in Kategorien gruppiert, die der gleichen Art angehören oder den gleichen Zweck verfolgen. Zu jeder Maßnahme sind diverse Zusatzinformationen gegeben, die für den Planenden von Relevanz sein können. Jede Zusatzinformation (Spalte) enthält neben ihrer Bezeichnung eine Kurzbeschreibung, welche die enthaltenen Informationen charakterisiert. Jede Maßnahme wird als erstes über eine Kurzbeschreibung definiert bzw. beschrieben. Es folgen Wirkungsbeschreibungen, die den Planenden bei der Argumentation der Maßnahme (bspw. im Begründungsteil des Bebauungsplans) behilflich sein können. Wenn vorhanden, sind konkrete Zahlen oder Berechnungsansätze zur Wirkungsabschätzung gegeben. Es folgen Informationen u.a. zum Planbezug, die Einschätzung der Eignung der Maßnahmen in bestimmten Stadtstrukturtypen, Einschätzungen zu Kosten und Flächenbedarf, der Verwendung im Bestand versus Neubau, sowie Hinweise zu weiterführender Literatur. Alle Maßnahmen sowie Zusatzinformationen sind bereits veröffentlichten Leitfäden und Berichten entnommen, es handelt sich hier also um ein Reviewbeitrag, der keinen Bezug zu einem speziellen oder einer Gruppe an Projekten hat. Die Kategorisierung der Maßnahmen sowie die Einschätzung ihrer Eignung für den Bestand versus Neubau erfolgte durch die Autorinnen. Dies ist die erste Auflage dieser Maßnahmensammlung. Einige Felder haben noch keine Informationen, oder können ggf. durch die Praxis anders eingeschätzt werden. Sobald genügend neue Informationen vorliegen bzw. der jetzige Stand umfassend überarbeitet wurde, wird die Tabelle als neue Auflage erneut veröffentlicht werden. Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Die aktualisierten Daten finden Sie unter https://doi.org/10.35097/hskt7ytp75d90269 Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Cities and municipalities are faced with the challenging task of adapting their communities to the expected consequences of climate change. Significantly higher summer temperatures, a climatic change from the previously very frequent and regular land rainfall in summer to weeks of drought, and an increase in individual heavy rainfall events whose water masses cannot be compensated by the existing structure - these are very likely consequences that today's planning must address. Local authorities are therefore faced with the challenging task of integrating climate adaptation concerns into their planning in the best possible way. A large number of German guidelines on municipal climate adaptation are available for this purpose. The disadvantage of this diversity, however, is the amount of time required to gain an overview of the various topics. WIthout relating to specific projects, the tables presented here are an attempt to summarise the existing variety of specific measures for municipal climate adaptation and the available knowledge on the individual measures. (in German)
Maßnahmensammlung zur kommunalen Klimaanpassung (Vorläufige Version)
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 3/3)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 12)
This dataset contains FAIR records which describe the laboratory equipment utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Laboratory Equipment for Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Acanthognathus ocellatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the software utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Software for Tribological Experiments - Sapphire on Copper - FAIR Dataset
This archive contains the data corresponding to the manuscript “Changes of intense extratropical cyclone deepening mechanisms in a warmer climate in idealized simulations" by Ting-Chen Chen [1][*], Christoph Braun [1], Aiko Voigt [2], and Joaquim G. Pinto [1] [1] Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany [2] Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria [*] Current affiliation: Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium Please contact Ting-Chen Chen (ting-chen.chen@uclouvain.be) or Christoph Braun (christoph.braun@kit.edu) if you have questions regarding the content of this archive. The dataset contains post-processed model output of idealized baroclinic life cycle simulations performed with the atmospheric component of the Icosahedral Nonhydrostatic model (ICON-NWP; version 2.6.2.2). There are 12 experiments with 6 different initial climatic conditions: (1) present day (CTL); (2) uniform +4 K warming & moistening (4K); (3) uniform +4K warming but not moistening (4K_qvCTL); (4) non-uniform warming and moistening as anticipated by a CMIP6 model for the end of the 21st century under the high-emissions scenario SSP5-8.5 (Tanom); (5) tropical warming&moistening (Tanom_tropics); (6) polar warming&moistening (Tanom_polar), each performed with 2 different model grid spacing (80 km and 2.5 km). The data is organized into 3 subdirectories: (1) input_data (initial conditions set for the simulations); (2) remapped_simulation_output (post-processed model output data; re-gridded from the unstructured native model grid to the regular lat-lon grid; only for selected variables); (3) PTE_results (results created during the analysis of pressure tendency equation (PTE), such as cyclone tracks, maps for the distribution of each PTE components, and their time series averaged around the cyclone center). For the scripts that were used to produce the above data & to plot the figures shown in the paper, please see the link: https://gitlab.phaidra.org/chent73/chen-etal-2024-climxtreme-jcli
Changes of intense extratropical cyclone deepening mechanisms in a warmer climate in idealized simulations
Processed micro-tomographic scan of the ant Rogeria belti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Konfokal-, REM- und TEM-Bilder; Reibungsdaten; Verschleißdaten; EELS-Daten
Graphite lubrication of highly loaded contacts: humidity-dependent friction and structural transition to turbostratic carbon
DAMAST-KIT-Spartak: Drill Core Scans and Core Photos
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0028, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0028 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Prionopelta aethiopica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0007, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0007 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
DAMAST-KIT-2: Drill Core Scans and Core Photos
Processed micro-tomographic scan of the ant Anochetus emarginatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data of publication "Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights"
The spatiotemporal distribution of aerosol particles in the atmosphere has a great impact on radiative transfer, clouds, and air quality. Modern remote sensing methods, as well as airborne in situ measure- ments by unpiloted aerial vehicles (UAV) or balloons, are suitable tools to improve our understanding of the role of aerosol particles in the atmosphere. To validate the measurement capabilities of three relatively new measurement systems and to bridge the gaps that are often encountered between remote sensing and in situ ob- servation, as well as to investigate aerosol particles in and above the boundary layer, we conducted two measure- ment campaigns and collected a comprehensive dataset employing a scanning aerosol lidar, a balloon-borne ra- diosonde with the Compact Optical Backscatter Aerosol Detector (COBALD), an optical particle counter (OPC) on a UAV, and a comprehensive set of ground-based instruments. The extinction coefficients calculated from near-ground-level aerosol size distributions measured in situ are well correlated with those retrieved from lidar measurements, with a slope of 1.037 ± 0.015 and a Pearson correlation coefficient of 0.878, respectively. Verti- cal profiles measured by an OPC-N3 on a UAV show similar vertical particle distributions and boundary layer heights to lidar measurements. However, the sensor, OPC-N3, shows a larger variability in the aerosol backscat- ter coefficient measurements, with a Pearson correlation coefficient of only 0.241. In contrast, the COBALD data from a balloon flight are well correlated with lidar-derived backscatter data from the near-ground level up to the stratosphere, with a slope of 1.063 ± 0.016 and a Pearson correlation coefficient of 0.925, respectively. This consistency between lidar and COBALD data reflects the good data quality of both methods and proves that lidar can provide reliable and spatial distributions of aerosol particles with high spatial and temporal resolutions. This study shows that the scanning lidar has the capability to retrieve backscatter coefficients near the ground level (from 25 to 50 m above ground level) when it conducts horizontal measurement, which is not possible for verti- cally pointing lidar. These near-ground-level retrievals compare well with ground-level in situ measurements. In addition, in situ measurements on the balloon and UAV validated the scanning lidar retrievals within and above the boundary layer. The scanning aerosol lidar allows us to measure aerosol particle distributions and profiles from the ground level to the stratosphere with an accuracy equal to or better than in situ measurements and with a similar spatial resolution.
Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights
The data set comprises CFC-22 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-22_61), RR-NOM (2005 - 2012, F-22_261), RR-UTLS-1 (2005 - 2007, F-22_161), and RR-MA (2005 - 2012, F-22_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS HCFC-22 R-22 Freon 22 Chlorodifluoromethane
Version 8 IMK/IAA MIPAS measurements of HCFC-22: the data set
This folder contains videos of full plastics cups (Cup_PP_98_def) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V1 (videos)
Direct numerical simulations (DNS) are used to assess the similarity, in rough-wall turbulent flow, between the time-averaged transport of mechanical energy (i.e. the sum of kienetic energy and pressure work) and of the squared passive-scalar field, theta^2/2. The database comprises three simulations: 1) k00re180, smooth wall at a friction Reynolds number Re_tau=180; 2) k15re180, rough wall at a friction Reynolds number Re_tau=180 and roughness Reynolds number k^+=15 (k^+=k u_tau/nu, k is the roughness characteristics size, u_tau is the friction velocity, and nu is the kinematic viscosity); 3) k90re540, rough-wall at a friction Reynolds number Re_tau=540 and roughness Reynolds number k^+=90. The roughness topography is taken from: 'Thakkar, M. (2017) Investigation of turbulent flow over irregular rough surfaces using direct numerical simulations (PhD Thesis), University of Southampton, Southampton, UK'. The DNS are performed using the spectral element flow solver Nek5000 (Version 19.0. 2019, Argonne National Laboratory, Illinois. https://nek5000.mcs.anl.gov). The dataset contains the following files: 1) Mean wall-normal profiles (ascii), - k00re180.dat - k15re180.dat - k90re540.dat 2) Volume-averaged quantities (i.e. volume integrated quantities per unit volume) (ascii) - BULK_k00re180.dat - BULK_k15re180.dat - BULK_k90re540.dat 3) Time-averaged dispersive fluctuations distributions on the plane y/delta=1.2 (y is the spanwise coordinate and delta is the half channel height) (binary) - sfA_y120_k15re180.vtk - sfA_y120_k90re540.vtk In each file, the variables are made dimensionless using the friction velocity u_tau and the channel half-height delta. For all the cases, a unit Prandtl number is used. Therefore, the friction Peclet number is equal to the friction Reynolds number, Pe_tau=Re_tau. Furthermore, the flow is always considered incompressible. In the following, Ui indicates the i-velocity component; C indicates the scalar field; P indicates the pressure; K=UiUi/2 is the kinetic energy; G=C^2/2 is the squared scalar field; ,i denotes differentiation in the i-direction; Oi indicates the i-vorticity component; Sij indicates the (i,j)-component of the strain-rate tensor; < . >t indicates a time-averaged quantity; < . >ts indicates a space- and time-averaged quantity; a prime superscript, (.)', indicates temporal fluctuations; a double prime superscript, (.)'', indicates dispersive fluctuations of the time-averaged field induced by the roughness. Note that the coordinate directions are: Streamwise, x, i=1; Spanwise, y, i=2; Wall-normal, z, i=3. The dataset files contain: 1) kXXreXXX.dat z<C>ts<C,i>ts<C,i>ts/Pe_tau<C,i'C,i'>/Pe_tau<Oi>ts<Oi>ts/Re_tau<Oi'Oi'>/Re_tau 2<Sij>ts<Sij>ts/Re_tau 2<Sij'Sij'>ts/Re_tau<(Ui P),i>ts<(Ui K),i>ts<P,ii>ts/Re_tau<K,ii>ts/Re_tau<Ux>ts<(Ui G),i>ts<G,ii>ts/Pe_tau 2) BULK_kXXreXXX.dat<Oi>t<Oi>t<Oi'Oi'>t<Oi>t''<Oi>t''<Oi>ts<Oi>ts<Oi>t<Oi>ts<Oi>ts<Oi>t''<C,i>t<C,i>t<C,i'C,i'>t<C,i>t''<C,i>t''<C,i>ts<C,i>ts<C,i>t<C,i>ts<C,i>ts<C,i>t'' AER[<Oi>t<Oi>t] AER[<Oi'Oi'>t] AER[<Oi>t''<Oi>t''] AER[<Oi>ts<Oi>ts] AER<Oi>t<Oi>ts AER[<Oi>ts<Oi>t'' AER[<C,i>t<C,i>t] AER[<C,i'C,i'>t] AER[<C,i>t''<C,i>t''] AER[<C,i>ts<C,i>ts] AER[<C,i>t<C,i>ts] AER[<C,i>ts<C,i>t''] WMR[<Oi>t<Oi>t] WMR[<Oi'Oi'>t] WMR[<Oi>t''<Oi>t''] WMR[<Oi>ts<Oi>ts ] WMR[<Oi>t<Oi>ts] WMR[<Oi>ts<Oi>t''] WMR[<C,i>t<C,i>t] WMR[<C,i'C,i'>t] WMR[<C,i>t''<C,i>t''] WMR[<C,i>ts<C,i>ts] WMR[<C,i>t<C,i>ts] WMR[<C,i>ts<C,i>t''] Note: AER[ ] and WMR[ ] indicate conditional integration over "attached, exposed" and "well-mixed" region. Further information is provided in the header of each file. 3) sfA_y120_kXXreXXX.vtk VTK NAME: corresponding quantity p: t s00: <C>t s01: <ux>t'' s02: <uy>t'' s03: <uz>t'' s04: t'' s05: <C>t'' s06: <Ox>t''<Ox>t'' s07: <Oy>t''<Oy>t'' s08: <Oz>t''<Oz>t'' s09: <C,x>t''<C,x>t'' s10: <C,y>t''<C,y>t'' s11: <C,z>t''<C,z>t'' s12: <Ox>t'' s13: <Oy>t'' s14: <Oz>t'' s15: <C,x>t'' s16: <C,y>t'' s17: <C,z>t'' s18: <Oy>t s19: <Oy>ts s20: <C,z>t s21: <C,z>ts s22: <Ux>ts s23: <C>ts vx: <Ux>t vy: <Uy>t vz: <Uz>t zwb: wall-height of the bottom rough wall as a function of x.
Dataset for "A framework for assessing the Reynolds analogy in turbulent forced convection over rough walls"
Model results of solar extreme scenarios with the KASIMA model
Processed micro-tomographic scan of the ant Odontomachus cf meinerti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from SPL01 campaign taking place from 2021-10-12 - 2022-07-12 at Storm Peak Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software 2022.
The “oxygen-rich” Ca2+ pre-intercalated bilayered vanadium oxide (CaVOnH) was synthesized via hydrothermal method and determined as a monoclinic structure with reasonable lattice parameters. CaVOnH achieves a first discharge capacity of 273 mAh g−1 with capacity retention of 91% at 50 mA g−1 in 0.8 m Mg(TFSI)2-85%PEG-15%H2O (polyethylene glycol, PEG), but limited rate capability due to the low ionic conductivity of electrolyte. Dimethyl sulfoxide (DMSO) is used as a co-solvent to tune the physical-chemical properties of aqueous Mg-ion electrolyte (AME), resulting in the reorganization of Mg2+ solvation and hydrogen bond network. The AME containing DMSO shows improved ionic conductivity, low viscosity, and high Mg2+ diffusion coefficient and allows CaVOnH and V2O5 to achieve a much-improved rate capability and capacity. Moreover, the reaction mechanism and reversibility of CaVOnH are elucidated by combining in operando and ex situ techniques. The results demonstrate that CaVOnH undergoes 2-phase reaction and solid solution, the variation of oxidation state and the local environment of vanadium, and reversible formation/decomposition of MgF2 cathode electrolyte interface during Mg2+ (de)intercalation, where MgF2 originated from the decomposition of TFSI-.
The data include electrochemistry data, XRD, XPS, XAS, and magnetic data, which was plotting using Origin software. The emd. file can be opened and proceeded with Velox software. The dm4. file can be opened and proceeded with DigitalMicrograph software.
Ca2+ Pre-Intercalated Bilayered Vanadium Oxide for High-Performance Aqueous Mg-Ion Batteries
Daten des Europäischen Fitness Abzeichens
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V2 (videos)
# GREED - GeRman Energy and Environment Document Corpus for Geoparsing and Time Expression Normalization Tasks This dataset contains scientific texts with rich linguistic or structural annotations for research purposes. It is designed to support tasks such as natural language processing, information extraction, and corpus linguistics. ## Contents The dataset consists of two main components: 1. **Text Content** Excerpts or full text passages from scientific publications. These were included with explicit permission from the respective authors or rights holders. The following table lists the included files and the corresponding source information: | File Name | Title | Authors | Link | |-----------|-------|---------|------| | `10200-Klimaleitplanken_2.0` | * Klimazukunft Baden-Württemberg - Was uns ohne effektiven Klimaschutz erwartet! * | Dr. Kai Höpker, Dr. Sabrina Plegnière (LUBW) | [Link]( https://pd.lubw.de/10200) | | `10506-Landesweite_Brutbestandserfassung_2022_im_Auftrag_der_LUBW_-_Landesanstalt_für_Umwelt_Baden-Württemb.tml` | * Der Kormoran (Phalacrocorax carbo) in Baden-Württemberg 2022 * | Ornithologische Gesellschaft Baden-Württemberg | [Link]( https://pd.lubw.de/10506) | | `10274-Sondermessungen_2020_Abschlussbericht.tml` | * Verkehrsnahe Sondermessungen 2020 in Baden-Württemberg * | LUBW Refarat 33 | [Link]( https://pd.lubw.de/10274) | | `10199-Immissionsbelastung_für_Baden-Württemberg_2016_-_2025.tml` | * Flächendeckende Ermittlung der Immissionsbelastung für Baden-Württemberg 2016 und Prognose für 2025 * | LUBW Refarat 33 | [Link]( https://pd.lubw.de/10199) | | `Grundwasser-Überwachungsprogramm - 2022.tml` | * Grundwasser-Überwachungsprogramm 2022 * | LUBW Referat 42 | [Link]( https://pd.lubw.de/10597) | | `10582-Zahlen_und_Fakten_zum_Stand_der_Altlastenbearbeitung_in_Baden-Württemberg.tml` | * Altlastenstatistik 2022 * | Jochen Stark, Alicia Graf | [Link]( https://pd.lubw.de/10582) | | `82479-Untersuchungen_unter_Verwendung_des_Programms_ARTM_(Atmosphärisches_Radionuklid-Transport-Modell).tml` | * ABR-ARTM - Untersuchung zur Langzeitausbreitung von radioaktiven Schadstoffen an den Standorten von Atomkraftwerken in Baden-Württemberg * | Walter Scheuermann, Andreas Piater, Christoph Krass, Herbert Pohl | [Link]( https://pd.lubw.de/82479) | | `95109-Leitfaden` | *Überwachung von industriellen Abwasseranlagen und -einleitungen* | LUBW | [Link]( https://pd.lubw.de/95109 ) | | `Anlage 4 der V813-2023_Abschlussbereicht.tml` | * V813/2023 ANLAGE 4: ABSCHLUSSBERICHT * | Stadt Mannheim, MVV Regioplan | [Link](https://www.mannheim.de/sites/default/files/2024-03/Anlage%204%20der%20V813-2023_Abschlussbereicht.pdf) | | `Kommunale_Waermeplanung_Beschlussvorlage.tml` | *Kommunale Wärmeplanung für München * | Referat für Klima- und Umweltschutz und Referat für Arbeit und Wirtschaft | [Link]( Beschluss der Vollversammlung des Münchner Stadtrats vom 15.5.2024, München) | | `01_2024_uib_energieeffiziente_mobilitaet.tml` | * Beschäftigung durch energieeffiziente Mobilität - Methodik der Ermittlung und Ergebnisse für das Jahr 2019 * | Luisa Sievers, Anna Grimm | [Link]( https://www.umweltbundesamt.de/sites/default/files/medien/11850/publikationen/01_2024_uib_energieeffiziente_mobilitaet.pdf) | | `333_LF_Urbansky.tml` | * Untersuchung der Verteilnetzbelastung bei Proaktivem Energy-Sharing nach Österreichischem Vorbild * | Julian Urbansky, Lennart Schürmann | [Link]( https://www.researchgate.net/publication/380376111_Untersuchung_der_Verteilnetzbelastung_bei_Proaktivem_Energy-Sharing_nach_Osterreichischem_Vorbild ) | | `Innovative_Technologien_Gebäudebereich_EWB.tml` | *Innovative Technologien im Gebäudebereich der Forschungsinitiative ENERGIEWENDEBAUEN* | Jessica Preuss, Heike Erhorn-Kluttig | [Link](https://publica.fraunhofer.de/entities/publication/cbca8246-0337-4700-90d1-8ce7fb1259c2) | | `05_2024_cc_dekarblnd_tb1.tml` | *Dekarbonisierung der industriellen Produktion (DekarbInd) AP 1: Ganzheitliches Bewertungsschema für Technologien* | Peter Viebahn, Dietmar Schüwer, Georg Holtz, Andreas Pastowski, Jacqueline Klingen, Sören Steger, Ali Aydemir | [Link](https://www.umweltbundesamt.de/publikationen/dekarbonisierung-der-industriellen-produktion) | | `1436-4980-2024-01-02-11.tml` | *Effizienzsteigerung durch Energiemanagementsysteme* | Laura Jung, Kerim Torolsan, Artur Gergert, Felix Förster, Alexander Sauer | [Link](https://publica.fraunhofer.de/entities/publication/93f2de91-6881-4ab2-bae6-6e1a9246f8af) | | `Wärmeplanung_Augsburg_Infoblatt_Jan2024` | *Hinweise zur Wärmeplanung und zum Fernwärmeausbau im Stadtgebiet Augsburg (Stand Januar 2024)* | Stadt Augsburg, Umweltamt | [Link](https://www.augsburg.de/fileadmin/user_upload/umwelt_soziales/umwelt/klima%20und%20energie/W%C3%A4rmeplanung_Augsburg_Infoblatt_Jan2024.pdf) | | `2024-04-05_Endbericht_kommunale_Wärmeplanung_Stadt_Pforzheim_nach__7_Klimaschutzgesetz_Baden-Württemberg.tml` | *Kommunale Wärmeplanung der Stadt Pforzheim* | Stadt Pforzheim, Amt für Umweltschutz | [Link](https://www.klimaschutz-pforzheim.de/fileadmin/user_upload/umwelt/klimaschutz/waermeplanung/2024-04-05_Endbericht_kommunale_W%C3%A4rmeplanung_Stadt_Pforzheim_nach__7_Klimaschutzgesetz_Baden-W%C3%BCrttemberg.pdf) | | `Bericht_zur_kommunalen_Waermeplanung.tml` | *Kommunale Wärmeplanung Für die Stadt Offenburg* | Stadt Offenburg | [Link](https://www.offenburg-klimaschutz.de/fileadmin/redakteur/Waermeplanung/Bericht_kommunale_Waermeplanung.pdf) | | `10598-Archewiesen_-_Saatgutgewinnung.tml` | *„Archewiesen“ Ein Projekt zur Erhaltung des artenreichen Grünlands in Baden-Württemberg* | LUBW Referat 56 | [Link](https://pd.lubw.de/10598) | | `Auf zu neuen Wegen – gemeinschaftlich und nachhaltig wirtschaften!_2022.tml` | *Auf zu neuen Wegen – gemeinschaftlich und nachhaltig wirtschaften!* | Binta Bah, Gerd Oelsner | [Link](https://pd.lubw.de/10442) | ⚠️ **The individuals and institutions listed here are the copyright holders of the corresponding documents.** The text content is used with their permission and **may only be used for non-commercial, scientific purposes**. 2. **Annotations** Metadata, structural, or linguistic annotations created manually or semi-automatically, intended to support various forms of scientific analysis. ## License ### Annotations All annotations and the dataset structure are licensed under the **Creative Commons Attribution 4.0 International License (CC BY 4.0)**. You are free to use, modify, and redistribute the annotations — including for commercial purposes — provided that appropriate credit is given.🔗 [CC BY 4.0 Summary](https://creativecommons.org/licenses/by/4.0/) ### Text Content The original text content is **copyrighted** and included **with permission** from the respective authors or publishers. It is made available **exclusively for non-commercial, scientific use**. - ✅ Permitted: Academic research, teaching, citation in scientific publications. - ❌ Not permitted: Commercial use, redistribution of raw text content outside of research settings, or adaptation beyond scholarly work. For more details, refer to the `LICENSE.txt` file. ## Author and Contact Information: - Institution: Karlsruhe Institute of Technology (KIT), Institute for Automation and Applied Informatics (IAI) - Main Author: Nicolas Doms, ndoms716@gmail.com - Authors: Toni Golian, Ruidie Hu - Principle Investigator: Thorsten Schlachter, thorsten.schlachter@kit.edu ## Version and Date of Publication - Version: 1.0 - Date: 2025-04-08 ## Disclaimer This dataset is provided "as is" without warranty. The authors are not responsible for any misuse of the content. Users must ensure compliance with the licensing terms when distributing or using the dataset. ## TagCombiner.py Text content and annotations are delivered separately in this dataset to ensure a clear separation with regard to the license. This dataset includes a Python file named TagCombiner.py. This simple code merges the tags from the "Tags" directory into the raw text data in the "Raw" directory. The resulting files have the annotations in-line and can be used for the evaluation of machine learning models.
GREED - GeRman Energy and Environment Document Corpus for Geoparsing and Time Expression Normalization Tasks
Processed micro-tomographic scan of the ant Pristomyrmex cribrarius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Experimental data of the publication "An Efficient Approach for Quantifying the Mechanical Degradation of Ni-Rich NMC-based Cathodes for Lithium‑Ion Batteries using Nano-XCT Analysis", ChemElectroChem 2023.
Research Data of the Publication "An Efficient Approach for Quantifying the Mechanical Degradation of Ni-Rich NMC-based Cathodes for Lithium‑Ion Batteries using Nano-XCT Analysis"
Research Data used in: 'Deep Learning and Hybrid Approach for Particle Detection in Defocusing Particle Tracking Velocimetry'
Deep Learning and Hybrid Approach for Particle Detection in Defocusing Particle Tracking Velocimetry - used Research Data
Seit 2012 werden die beiden Testbatterien KITT+ 3-10 und DMT 6-18 in Baden-Württemberg in Kooperation zwischen KIT und Kinderturnstiftung Baden-Württemberg durchgeführt. Die Testdurchführung findet durch geschulte LehrerInnen, ErzieherInnen und ÜbungsleiterInnen statt, die ausgebildet und wissenschaftlich begleitet werden. Bei den Testaufgaben handelt es sich um die Durchführungsvarianten, die im User-Manual von MO|REdata beschrieben sind. Die Rohwerte in den einzelnen Testaufgaben (4-10 Jahre) werden in alters- und geschlechtsspezifische Referenzperzentile der bundesweiten, repräsentativen MoMo- Stichprobe eingeordnet.
Processed micro-tomographic scan of the ant Veromessor andrei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Details zu den Daten sind dem KIT Scientific Working Paper 222 zu entnehmen: "Development of an Alternative Approach for Estimating User Load due to Screw-in Torque in User Studies" Autoren: Johannes Sänger, Lukas Wirth, Sven Matthiesen
Lithium-ion batteries (LIBs) are the dominating energy storage technology for electric vehicles and portable electronic devices. Since the resources of raw materials for LIBs are limited and recycling technologies for LIBs are still under development, improvements in the long-term stability of LIBs are of paramount importance, and, in addition, would lead to a reduction in the levelized cost of storage (LCOS). A crucial limiting factor is the ageing of the solid electrolyte interphase (SEI) on the active material particles in the anode. Here, we demonstrate the potential of atom probe tomography for elucidating the complex mosaic-type structure of the SEI in a graphite composite anode. Our 3D reconstruction shows unseen details and reveals the existence of an apolar organic microphase pervading the SEI in its entire thickness. This finding is in stark contrast to the prevalent two-layer SEI model, in which organic compounds are the dominating species only in the outer SEI layer being in contact to the liquid electrolyte. The observed spatial arrangement of the apolar organic microphase promises a better understanding of the passivation capability of the SEI, which is necessary to expand battery lifetime.
List of used files *.csv composition_profiles.csv The file contains the underlying data for the atomic percentage plots in Figure S5. Listed are distance in z-direction and atomic percentages of Li, C, F, and O. mass_spectrum.csv contains the presented mass spectrum in Figure S1 detection_rate.csv detection rate observed during the APT run used for Figure S2 voltage_history.csv voltage observed during the APT run used for Figure S2 *.pos file contains the reconstructed data for the APT run *.rrng contains the mass identification used in the reconstruction *.rhit contains the raw data for the APT run
Data for "Challenging Prevalent Solid Electrolyte Interphase (SEI) Models: An Atom Probe Tomography Study on a Commercial Graphite Electrode"
This is a project created at Karlsruhe Institute of Technology (KIT), providing elements of the TEEMLEAP testbed code
Processed micro-tomographic scan of the ant Myrmecocystus mendax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
PRESLHY Experiment series 5.3; block ratio: 0%; initial temperature: approx. 80K (cold)
Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)
Dieser Datensatz, gesammelt im Rahmen des CONFES-Systems (context-aware food and beverage preparation machine), umfasst Daten zu 884 Tassen Café Crème, die von 46 Teilnehmern zwischen dem 15. Juli 2024 und dem 27. September 2024 in zwei verschiedenen Arbeitsumgebungen konsumiert und bewertet wurden. Ziel des zugrundeliegenden Experiments ist es, Zusammenhänge zwischen der menschlichen Geschmackswahrnehmung, den Kaffeerezepten (mit besonderem Fokus auf die Coffee-to-Water-Ratio) und dem Umgebungskontext zu identifizieren. Erfasste Daten beinhalten die Coffee-to-Water-Ratio, die Kaffeemehlmenge, die Wassermenge, eine Gesamtbewertung des Kaffees sowie eine separate Intensitätsbewertung. Diese Informationen sollen dazu beitragen, die Rezepturen für Café Crème hinsichtlich Geschmack und Nachhaltigkeit zu optimieren. Der Datensatz bietet wertvolle Einblicke in das Zusammenspiel von Zubereitungsparametern und dem subjektiven Geschmackserlebnis unter verschiedenen Kontextbedingungen und kann für weitere Studien zur automatisierten Optimierung von Kaffeerezepten herangezogen werden.
Grundsätzlich kann die Variable "fbIntensity" als Bewertung gesehen werden, da diese beschreibt, ob der Kaffee "zu schwach", "optimal" oder "zu stark" war. Richtigerweise würde man beschrieben ob der Kaffee zu bitter oder sauer ist, allerdings macht das nur mit ausgebildeten Kaffeetrinkern Sinn, deshalb wurde eine einfachere Bewertungsmethode gewählt. Zu dieser Bewertung kann die Gesamtbewertung "fbGeneral" hinzugezogen werden, welche aus 4 Sternen besteht (1 Stern = schlecht, 2 Sterne = eher schlecht, 3 Sterne = eher gut, 4 Sterne = gut). Der "coffeeWaterRatio" errechnet sich indem man die Varibale "qtyCoffeePowder" (in Gramm) durch die Variable "qtyWater" (in Milliliter) teilt. Je größer dieser Wert ist, desto mehr Kaffeemehl wurde eingesetzt im Vergleich zur Wassermenge. Die unterschiedlichen Wassermengen der zubereiteten Tassen Kaffee resultieren durch unterschiedliche Gefäßgrößen an den zwei verschiedenen Experiment Standorten ("Experiment Location" - "A" und "B"). Zur Auswertung können Uhrzeiten in verschiedene Tagesabschnitte gruppiert werden (morgens, mittags, abends) um die Auswertung zu vereinfachen. Erläuterungen zu weiteren Variablen: Bewertung: "fbFlavor" = Bewertung des Geschmacks bzw. Aromas des Getränks "fbAppearance" = Bewertung des Aussehens des Getränks Getränkeabfrage: "addedSugar" = Wurde Zucker hinzugefügt? (ja/nein) "addedHotWater" = Wurde heißes Wasser hinzugefügt? (ja/nein) "addedCowMilk" / "addedPlantBasedMilk" = Wurde Milch/pflanzenbasierte Milch hinzugefügt? (ja/nein) Umgebungskontext / Wetterdaten: "temperature" = Außentemperatur "humidity" = Umgebungsluftfeuchte "precipitation" = Niederschlagsmenge "pressure" = Umgebungsdruck Persönlicher Kontext: "fatigue" = Wachzustand (tired - normal - hyper focused) "mood" = Stimmung (sad - normal - happy) "feltTemperature" = gefühlte Temperatur (cold - normal - hot) "stress" = Stresslevel (relaxed - normal - stressed) "priorIntake" = Abfrage ob 30min vor dem Kaffee etwas konsumiert wurde "drunkCoffeeinKitchen" = Abfrage ob Kaffee in Kaffeeküche getrunken wurde Persönliche Attribute: Sind Daten über den/die jeweilige Experimentteilnehmer*in: "age", "gender", "height", "weight", "isSmoker", "workoutperWeek", "hasAllergy", "diet", "sodaPerWeek"
This dataset, collected as part of the CONFES system (context-aware food and beverage preparation machine), contains data from 884 cups of Café Crème consumed and evaluated by 46 participants between July 15, 2024, and September 27, 2024, in two different work environments. The underlying experiment aims to explore the relationships between human taste perception, coffee recipes (with a primary focus on the coffee-to-water ratio), and the surrounding context. The data collected includes the coffee-to-water ratio, coffee grounds weight, water volume, an overall rating of the coffee, and a separate intensity rating. These insights are intended to help optimize Café Crème recipes in terms of both taste and sustainability. The dataset provides valuable information about the interaction between preparation parameters and subjective taste experience under varying contextual conditions, serving as a resource for further studies on automated coffee recipe optimization.
Context-aware Food and Beverage Preparation
Coffee Consumption and User Experience Dataset with Machine and Contextual Data
The files contain all datapoints that are displayed in the figures of the manuscript. Additionally, all recorded polarization resistances are included in the files “all_measurements_XXX_cellXX.csv”, which were shown in Figure S2 and S3.
Assessing the H2S-induced resistance increase of a Ni/GDC cermet electrode under OCV and cathodic polarization
The data comprise the composition-dependent ice-active fractions (f_ice) in the ammonium sulfate-letovicite-ammonium bisulfate (AS-LET-AHS) system, measured with the AIDA cloud chamber and the two continuous flow diffusion chambers (CDFCs) INKA and mINKA. The provided zip-file contains the two directories "Fig6" and "Fig7" and the additional text file “info.txt”, which explains the contents of the directories and the syntax of the file names. All data tables can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "Influence of the neutralization degree on the ice nucleation ability of ammoniated sulfate particles" by Bertozzi et al. (2024) in the Journal of Geophysical Research (Atmospheres)
This version 1.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable <xch4>), tropospheric (ground – about 6 km a.s.l., variable <troxch4>), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable <utsxch4>) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.2.0). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively).
Dutch National e-Infrastructure with the support of the SURF cooperative
Remote Sensing, Satellite, Metop, IASI, Sentinel-5 Precursor, TROPOMI, methane, CH4, total column, troposphere, UTLS, data fusion
MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 1.0)
The published source data file contains the underlying data of all figures of the manuscript of the publication “Impact of electrolyte impurities and SEI composition on battery safety”. The source data of each figure is presented in a single sheet named after the corresponding figure. Legends are given if required. Numerical details: The model was implemented in MATLAB R2022a and differential equations were solved with the ode15s solver. The calculations were performed on an i7-9750H CPU with 16 GB RAM. For detailed information on the modelling approach see the Method section in the manuscript and the Supplementary Information.
Li-ion batteries have a potential risk of thermal runaway. Current safety evaluations in academia and industry rely on experiments or semi-empirical simulations. This limits the understanding of processes leading to or occurring during thermal runaway, and how chemical species and impurities can impact them. The limited (quantitative) understanding in turn hinders a holistic safety assessment and optimisation of countermeasures through design or operation. The here presented thermal-runaway model contains a detailed degradation reaction network, which allows the impact of chemical species and impurities on thermal runaway to be studied. We set a particular focus on water impurities and solid-electrolyte interphase (SEI) properties, as both are known to impact life-time of batteries. SEI composition and thickness change during ageing, which is shown here to impact battery safety significantly. The model can reproduce reported experimental behaviour: aged cells are more safe, as they start self-heating, i.e. heat production without an external heat source, at 15–20 °C higher temperatures than fresh cells. Our model suggests a thick inorganic, and thus less reactive SEI as the underlying cause. Furthermore, we could show that extensive electrode drying to remove water impurities before building battery cells will not significantly improve safety characteristics. In contrast, electrodes not subjected to any drying procedure cause an earlier start of the self-heating phase, i.e. have a higher risk of thermal runaway. These insights into the sensitivity to thermal runaway allow robust methods to be tailored for its prevention, from controlling battery and SEI properties during production to adjusting safety assessment for effects of ageing.
Impact of electrolyte impurities and SEI composition on battery safety
Department of Physical and Theoretical Chemistry, Faculty of Natural Sciences, Comenius University Bratislava; Institute of Inorganic Chemistry, Slovak Academy of Sciences
Institute of Catalysis Research and Technology, Karlsruhe Institute of Technology; Institute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology
This code has been used for the numerical experiments in the thesis "Numerical homogenization of time-dependent Maxwell's equations with dispersion effects" by Jan Philip Freese, see https://www.doi.org/10.5445/IR/1000129214.
# Readme This code was used for the numerical experiments of the PhD thesis "Numerical homogenization of time-dependent Maxwell's equations with dispersion effects" by P. Freese (cf. Section 7.2, Section 7.3) https://www.doi.org/10.5445/IR/1000129214. The computations are done in C++ using the Finite Element library deal.II. ## Requirements - In order to run the code you need **deal.II** (release 9.1.1), cf. https://www.dealii.org/9.1.1 - For the experiments on the macroscopic level (Section 7.3) you need to compile deal.II using **Trilinos** (version 12.17) and **p4est** (version 2.2), cf. https://www.dealii.org/9.1.1/external-libs/trilinos.html and https://www.dealii.org/9.1.1/external-libs/p4est.html - To get the full functionality of the scripts a **Bash** shell has to be used and at least **cmake** (version 3.13.0) is needed - For the visualization of the data you need **Matlab** (version R2020a Update 2) and **Paraview** (version 5.8.1-RC1) ## Structure The structure is as follows: - The folder **executables** contains Bash scripts for all figures and tables separately. All figures from Section 7.2 may be computed using the `compute_all_micro_figures_and_tables.sh` at ones. Similarly, the figures from Section 7.3 are computed using the `compute_all_macro_figures_and_tables.sh` script. Moreover, the `distclean.sh` script runs the `deal.II` distclean command in all programs. - The folder **matlab_plot_files** contains Matlab scripts for the convergence plots and related tables - The folder **paraview_plot_files** contains Paraview states to generate the solution plots - In **programs** the actual source code is stored within three different programs that are - **hmm_for_Maxwell_conductivity_memory_variable:** Code that applies the Heterogeneous Multiscale Method combined with the memory variable technique as explained in Section 6.2.3 - **hmm_for_Maxwell_conductivity_recursive_convolution:** Code that applies the Heterogeneous Multiscale Method combined with the recursive convolution technique as explained in Section 6.2.2 - **microproblem_conductivity:** Code that solves the microscopic cell problems - In **results** the results of the computations are stored according to the sub structure of the **programs** folder ## Howto In order to run the program, open a terminal session in the folder **executables** and run one of the Bash scripts providing at least the additional argument: - **Number of kernels (-n)**: One should usually use one job for each processor core on the machine Use a command like ```bash bash figure*.sh -n number_of_kernels ``` It may be mandatory to provide the location of your deal.II installation as well. This is done by providing another argument: - **Path to deal (-D)**: Path to the deal.II installation Use a command like ```bash bash figure*.sh -n number_of_kernels -D path_to_deal ``` If you can not execute the Bash scripts, you have to build the program and copy/edit the config/source files yourself. Still, the necessary information is found in the bash scripts, so just use a text editor to open those files and execute the steps by hand. ### Example If you unpack this code within the **examples** folder of **deal.II** you can simply use the following example code to run the Bash script (generating data for Figure 7.2 and Table 7.1 with 4 kernels) ```bash bash figure_7_2_table_7_1.sh -n 4 -D ../../../../ ``` ## Visualization ### Matlab The Matlab scripts are used to generate the plots and tables. The tables are directly prompted to the Matlab output. ### Paraview To load the state files in Paraview, select `File->Load State...`. Select the respective `.pvsm` file of the figure you want to plot. As `Load State Data File Options` choose `Search files under specified directory` and select the `results` folder. Paraview should find the files itself. ## Remarks - The scripts `figure_7_19_table_7_9.sh` and `figure_7_21_table_7_10.sh` save reference solutions that are used to compute the errors between different levels of refinement. These solutions are stored in `programs/hmm_for_Maxwell_conductivity_recursive_convolution/data/`. If you want to run these scripts a second time you either have to delete the solutions (and compute the solutions again) or you have to set the `Output.Reference_Solution` flag in the respective config file in `programs/hmm_for_Maxwell_conductivity_recursive_convolution/config_files/` to false (which makes the computation even faster). - Be aware that, depending on your computer, the computations may take several hours or days.
Numerical experiments to "Numerical homogenization of time-dependent Maxwell's equations with dispersion effects"
This is an addendum to the previously published dataset with the title "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]" (DOI: 10.35097/1947).In the previous publication, the "cell_eisv2.zip" file was incomplete and only contained data for cells P001_1 to P044_2.The fixed "cell_eisv2_fixed.zip" file of this addendum contains data for all 228 cells P001_1 to P076_3.
Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"
Processed micro-tomographic scan of the ant Microdaceton exornatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset includes the cloud type and cloud cover at 85 different stations in western Central Africa. On the one hand, the dataset contains the original values as well as homogenized values.
This dataset consists of cloud fraction and cloud genus data from 85 stations in western Central Africa from 1971-2019. The database is based on the following databases: Extended Edited Synoptic Cloud Reports Archive (EECRA), Integrated Surface Dataset (ISD), Met Office Integrated Data Archive System (MIDAS), and the African Monsoon Multidisciplinary Analysis (AMMA). The dataset starts on 1st May 1971, covers 3 hourly the months May to October and ends on 31st October 2019. The variables in the dataset cover the cloud fraction, cloud type, homogenized cloud fraction, and a flag for the variables where its origin is. The homogenization of the dataset is discribed in Moron et al. (2022, submitted) and in the meta data discreption of the NetCDF file.
Der Datensatz beinhaltet den Wolkentyp und die Wolkenbedeckung von synoptischen Wetteraufzeichnungen an 85 verschiedenen Stationen im westlichen Zentralafrika. Einerseits beinhaltet der Datensatz die originalen Werte wie auch homogenisierte Werte.
Cloud observing data of 85 stations in western Central Africa
Processed micro-tomographic scan of the ant Proformica longiseta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulation code (Julia - programming language), NMR spectra and raw data (JCAMP-DX and Bruker format), Pulse shapes and Pulse programs (Bruker format).
Processed micro-tomographic scan of the ant Ophthalmopone hottentotta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0001, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0001 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Crematogaster crinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole fracticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In-Process monitoring of laser powder bed fusion using structure-borne acoustic process emissions to predict porosity .
This supplementary material includes all study material, code, and results of the thesis: Elicitation and Classification of Security Requirements for EVerest by Debora Marettek. Further information on its content can be found in the ReadMe file.
Supplementary Material of Elicitation and Classification of Security Requirements for EVerest
Processed micro-tomographic scan of the ant Pheidole obscurithorax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The Lurin Basin, Andean Measurement Campaign and Dataset (LAMA) was obtained during the years 2017 until 2020. LAMA is part of the BMBF funded interdisciplinary project TRUST ("Trinkwasserversorgung in prosperierenden Wassermangelregionen nachhaltig, gerecht und ökologisch verträglich"). Hydrological data has been collected in the Lurin river basin for a time span over three years in a range of altitudes from 200 m up to 4500 m above mean sea level. LAMA includes high resolution continuous measurements of precipitation (5 min resolution), soil humidity and temperature (10 min), discharge (15min resolution) and climate variables (10 min resolution). Discharge was measured at two piezometric stations, precipitation at five stations, soil humidity at three stations and climate variables at one station. Details regarding measurement equipment and calibration can be found in the readme files of the archives. Acknowledgment: LAMA is published as part of the Trust project, which is funded by the German Federal Ministry of Education and Research (BMBF). We thank Julian Bocanegra, Roberto Vicencio and Lucas Alcamo for their help during the measurement campaign.
file "Map.kmz": Google Earth .kmz file with locations of all measurement stations of LAMA. file "stations_meta_data.csv": .csv file with meta data about measurement stations of LAMA. folder "precipitation/": includes sub folder "data" with 5min resolution precipitation data. "README.txt" explains data structure. "Calibration_data.txt" shows calibration data for each station. folder "climate/": "atmos41_cullpe.csv" -> original data retrieved from Meter climate station. folder "soil_humidity/": includes sub folder "data" with 10min resolution soil humidity and temperature data. "README.txt" explains data structure. folder "discharge/": includes sub folder "data" with 15min resolution water level data. includes sub folder "rating_tables" with text files of discrete rating curves, derived from tracer measurements. "README.txt" explains data structure. "WQ_measured_manchay.txt" shows results of all (tracer) discharge measurements at Manchay station "WQ_measured_santarosa.txt" shows results of all (tracer) discharge measurements at SantaRosa station
Lurin Basin, Andean Measurement Campaign and Dataset (LAMA)
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0023, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0023 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Technische Mechanik (ITM), Karlsruher Institut für Technologie (KIT)
This software package facilitates the simulation and optimization of bipedal running on compliant ground, adhering to the methodology delineated in the manuscript "Study on Bipedal Running on Compliant Ground Using Hybrid Zero Dynamics Controller." The equations of motion and design of the controller are implemented using the Maple software. Numerical analyses and optimization are conducted utilizing the Julia programming language, while the optimization algorithm is sourced from the commercial software Artelys Knitro.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
julia-Software package for bipedal robot running on compliant ground using hybrid zero dynamics controller
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V4 (videos)
Supplement of the article Grothe O, Kaplan A, Kouz K, Saugel B. "Computer program for error grid analysis in arterial blood pressure method comparison studies" to provide the error grid analysis suggested in Saugel B, Grothe O, Nicklas JY. "Error Grid Analysis for Arterial Pressure Method Comparison Studies. Anesthesia and analgesia 2018;126:1177-85.
Detailed information for usage is provided in the article.
Software and example data for error grid analysis
Nickel aluminum layered double hydroxide (NiAl LDH) with nitrate in its interlayer is investigated as a negative electrode material for lithium-ion batteries (LIBs). The effect of the potential range (i.e., 0.01 – 3.0 V and 0.4 – 3.0 V vs. Li+/Li) and of the binder on the performance of the material is investigated in 1 M LiPF6 in EC/DMC vs. Li. The NiAl LDH electrode based on sodium alginate (SA) binder shows a high initial discharge specific capacity of 2586 mAh g-1 at 0.05 A g-1 and good stability in the potential range of 0.01-3.0 V vs. Li+/Li, which is better than what obtained with a polyvinylidene difluoride (PVDF)-based electrode. The NiAl LDH electrode with SA binder shows, after 400 cycles at 0.5 A g-1, a cycling retention of 42.2 % with a capacity of 697 mAh g-1 and at a high current density of 1.0 A g-1 shows a retention of 27.6 % with a capacity of 388 mAh g-1 over 1400 cycles. In the same conditions, the PVDF-based electrode retains only 15.6 % with a capacity of 182 mAh g-1 and 8.5 % with a capacity of 121 mAh g-1, respectively. Ex situ X-ray photoelectron spectroscopy (XPS) and ex situ X-ray absorption spectroscopy (XAS) reveal a conversion reaction mechanism during Li+ insertion into the NiAl LDH material. X-ray diffraction (XRD) and XPS have been combined with the electrochemical study to understand the effect of different cut-off potentials on the Li-ion storage mechanism.
Layered double hydroxide · lithium-ion batteries · Sodium alginate · Electrode materials · Conversion reaction
Electrochemical study on Nickel Aluminum Layered Double hydroxides as high-performance electrode material for lithium-ion batteries based on sodium alginate binder
This survey data was collected from software development (SD) organizations based in the United States and Germany. The survey methodology allows us to collect a larger cross-sectional dataset from practitioners, which was required to test our mediation hypotheses. A research project description explaining the purpose and expected outcomes of the study was sent to 16 software firms through the network of an applied research institute. Ten firms agreed to participate in the study. A customized survey link was sent to a senior executive (e.g., CEO or CIO) in each participating firm via email. The survey was forwarded to a total of 364 SD project managers and members. To reduce the bias related to retrospective data, we defined valid respondents as those who completed at least one SD project in the respective firm within the past 12 months. After removing invalid and incomplete responses, we retained 214 usable responses from 104 SD projects, resulting in a response rate of 55.2%
A data set of 104 software development projects – an investigation on process ambidexterity and project performance
Processed micro-tomographic scan of the ant Dolichoderus debilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
3D printing technologies have matured to produce complex structures, still they are often limited to static materials. Introducing alkoxyamine bonds into 3D printed structures offers unprecedented possibilities for post-synthetic modification through nitroxide exchange reaction (NER) and nitroxide-mediated polymerization (NMP). This study provides a comprehensive molecular and macroscopic characterization of 3D printed alkoxyamine-containing dynamic covalent adaptable networks (CANs). Our study provides new insights into their dynamic structural and mechanical alterations, making them promising candidates for advanced applications ranging from biomedical engineering to flexible electronics.
This dataset encompasses the raw data underpinning the measurements presented in our manuscript. Specifically, Figures 2b, 3a, S1a, and S1c were derived from text-based raw data obtained via EPR measurements. The raw data for Figure 3d, which involved IR measurements, are provided both in text format and as Opus files. For Figure 4a, which is based on ISEC measurements, the dataset includes information on the elution volume and molecular weight of polystyrene standards. This data was processed using the PSS Porocheck software, and the resultant plots are also available in an Excel file for further analysis. Figures 6a, 6b, and 6c, which involve DMA measurements, have their raw data stored in an Excel format. Likewise, the raw data for Figure 6d, derived from DSC measurements, are also cataloged in Excel files. Additionally, each set of measurement data is accompanied by OriginLab files, which were utilized for figure generation and are available for review. This comprehensive documentation and the use of common file formats like Excel and Opus ensure that our dataset is accessible and reusable for future research endeavors.
Investigating Dynamic Changes in 3D-Printed Covalent Adaptable Polymer Networks
This file contains the data used in the following manuscript: Hummel, M., Hoose, C., Pummer, B., Schaupp, C. E., Fröhlich-Nowoisky, J., and Möhler, O.: Simulating the Influence of Primary Biological Aerosol Particles on Clouds by Heterogeneous Ice Nucleation, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-182, 2018 and the corresponding manuscript in Atmos. Chem. Phys. The folder names correspond to the simulations (5 ensemble members each) as follows: BIO: db_m_18Sept14, db_l_09Okt14, db_r_11Okt14, db_u_18Okt14, db_d_22Okt14 DST: d_m_10Jul14, d_u_02Jul14, d_d_29Jun14, d_l_12Jul14, d_r_16Jul14 The ensemble data are the basis for Figures 7, 8, 9 and 10. The data of the reference simulation shown in Figures 2, 3, 4, 5, and 6 is contained in folder db_m_18Sept14. The data folder contain the full 4D fields (x,y,model levels,time) of the following variables (one file per variable, hourly time resolution): P_BACTERIA: bacteria concentration [#/m^-3] P_FUNGAL2: fungal spore concentration [#/m^-3] T: temperature [K] QNICE: specific cloud ice number [#/kg (air)^-1] CLDPOL7: temperature [K] used as input for INP parameterization CLDPOL9: number of occurrences of bacterial INP>0 [#/hour] CLDPOL10: accumulated concentration of bacterial INP [#/(m^-3 hour)] CLDPOL12: number of occurrences of fungal spore INP>0 [#/hour] CLDPOL13: accumulated concentration of bacterial INP [#/(m^-3 hour)] CLDPOL15: number of occurrences of bact. + fungal spore INP>0 [#/hour] CLDPOL17: instantaneous concentration of bact. + fungal spore INP [#/m^-3] CLDPOL18: accumulated concentration of dust+soot INP [#/(m^-3 hour)] CLDPOL19: accumulated total INP [#/(m^-3 hour)] CLDPOL21: number of occurrences of dust+soot INP>0 [#/hour] files tab_z.txt and lfff00000000c.nc (in folder db_m_18Sept14) contain the information on the conversion of model levels to altitude.
Simulating the Influence of Primary Biological Aerosol Particles on Clouds by Heterogeneous Ice Nucleation
Raw data from tribological experiment, topography measurements and optical micrographs
Raw Data to publication on the effect of different surface treatments on tribological properties of additively manufactured samples. "Tribological Performance of Additively- Manufactured AISI H13 Steel in Different Surface Conditions"
Numerical data for Figs. 2, 3, 7, 8, and 11 of the paper "Quantum discontinuity fixed point and renormalization group flow of the SYK model" by R. L. Smit et al. [DOI: 10.1103/PhysRevResearch.3.033089, see readme.txt inside the main data folder
Quantum discontinuity fixed point and renormalization group flow of the SYK model - DATA
Data set of 7 figures in one EXCEL file.
Electronic transport in reactively sputtered Mn3GaN films prepared under optimised nitrogen flow
The gearbox housing is one of the main components of an electric vehicle which has an influence on the NVH behaviour of the gearbox and overall vehicle, especially in the context of e-mobility. Vibrations inside the gearbox are mainly excited at the gear mesh and then transmitted to the housing through shafts and bearings, where it is radiated as air-borne noise. Because of the importance of reducing the weight of electric vehicles, housing structures are often target of lightweight design measures, which, in turn, often lead to worsened NVH behaviour. In this paper, the effects of different lightweight design measures on the vibrational behaviour of a gearbox housing are evaluated by numerical simulations. Firstly, the basic model (without lightweight design) has been simulated numerically in a commercial finite element software to extract the natural frequencies, mode shapes and frequency response functions for specific points of interest. These results have been verified by the measurement using 3D laser scanning vibrometer. Then, multiple variants of the electric vehicle gearbox housing are created in CAD and numerically simulated with different lightweight design. The results of the modal analysis provide valuable insights on the vibrational behaviour due to lightweight design measures.
daga_230216_original_acc: for the original version 230220_daga_7_1 : for version 'a' in the paper daga_2023_rib_1_8_e7700_damp003: for the version 'b' in the paper 230220_daga_9_1: for the version 'c' in the paper daga_230215_thickness: for the version case 2 in the paper 230215_withoutribs: for the version case 1 in the paper
Numerical study of noise and vibration behaviour of lightweight gearbox housing
Processed micro-tomographic scan of the ant Eciton burchelli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys cf gaigei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Gelatin phantom 1 (plastic cup with gelatin an water inclusions) 2: Empty measurement with the same parameters as the gelatin phantom 1
DAMAST-KIT-4: Drill Core Scans and Core Photos
Diese Software umfasst ein Python-Skript, das für die automatische Generierung mehrerer spezieller Druckseiten verwendet wird. Mittels Design of Experiments (DoE) generiert das Programm eine Liste aller möglichen Kombinationen der Grundfarben Cyan (C), Magenta (M) und Gelb (Y), die mit einer variabel einstellbaren Anzahl von Schichten übereinander gedruckt werden sollen. Die Farben der einzelnen Schichten werden dafür platzsparend auf mehrere Druckseiten verteilt.
This software includes a Python script that is used for the automatic generation of several special print pages. Using Design of Experiments (DoE), the program generates a list of all possible combinations of the basic colors cyan (C), magenta (M) and yellow (Y), which are to be printed on top of each other with a variably adjustable number of layers. The colors of the individual layers are distributed over several print pages to save space.
# General Information This Python script is used for the automatic generation of several special print pages. These print pages are combined to create a specific amount of samples. The description of there samples are as follows: The base colors of a commercial printer (Cyan (C), Magenta (M) and Yellow (Y)) are subsequently printed on top of each other. An example would be the sample CCMMYY where there are six layers in total and the base colors are layered from left to right. A graphical representation of there samples can be reviewed in the attached PDF document "concept_art_printing". # Background The print samples are designed to be analyzed in two US/vis spectroscopy setups. Samples that are analyzed by an UV/vis reflection measurement are bigger then samples analyzed in a UV/vis extinction setup. For each setup, a separate version of the script is published. The colors of the individual layers are distributed over several print pages to save space. To create a set of samples, a print page series must be printed (one by one) on a sheet of substrate with a DIN A4 form factor. The amount of print page series are tied to the layer count of the samples. This is because a full factorial DoE aims to generate all possible color combinations of C, M and Y for the set number of layers. # Additional package dependencies 1. numpy 2. matplotlib 3. pyDOE2
Python Program for generating Multi Layer CMYK Base Color Print Pages
The readme file explains the use of the data and is provided together with the data.
The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers suspended in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the manufactured solid composite the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Relative to the range $[0,1]$ the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 5\,\%$ in the channel and $\pm 30\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 3)
The data in the Excel file is related to the publication Gao et al., ACP, 2022. Each sheet of the Excel file corresponds to one plot in the publication. The data originates mainly from FIGAERO-CIMS and HR-ToF-AMS (both Aerodyne Inc.) measurements (see corresponding readme.pdf file).
The data in the Excel file is related to the publication Gao et al., ACP, 2022. Each sheet of the Excel file corresponds to one plot in the publication. The data originates mainly from FIGAERO-CIMS and HR-ToF-AMS (both Aerodyne Inc.) measurements. “Kinetics, SOA yields and chemical composition of secondary organic aerosol from β-caryophyllene ozonolysis with and without nitrogen oxides between 213 and 313 K” Linyu Gao1,2; Junwei Song1,2; Claudia Mohr3; Wei Huang4; Magdalena Vallon1; Feng Jiang1,2; Thomas Leisner1,5; and Harald Saathoff1 1 Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany 2 Institute of Geography and Geoecology, Working Group for Environmental Mineralogy and Environmental System Analysis, Karlsruhe Institute of Technology, Karlsruhe, Germany 3 Department of Environmental Science, Stockholm University, Stockholm, Sweden 4 Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Helsinki, Finland 5 Institute of Environmental Physics, Heidelberg University, Heidelberg, Germany Correspondence to: Linyu Gao (linyu.gao@kit.edu) and Dr. Harald Saathoff (harald.saathoff@kit.edu) Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1067, in review, 2022. (accepted on April 4th, 2022)
Kinetics, SOA yields and chemical composition of secondary organic aerosol from β-caryophyllene ozonolysis with and without nitrogen oxides between 213 and 313 K
Processed micro-tomographic scan of the ant Formica polyctena, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
PRESLHY Experiment series 4.4; Material of the ground: sand
Each folder contains subfolders divided into element type. Each element subfolder contains a stack of images in .tif format showing X-ray fluorescence tomography data with raw counts as the grayscale values. Data can be opened and edited with common softare tools such as imageJ.
X-ray fluorescence tomography dataset of propane dehydrogenation catalyst
Processed micro-tomographic scan of the ant Neivamyrmex jerrmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This study aims to identify model parameters describing atmospheric conditions such as wind shear and CCN concentration which lead to large uncertainties in the prediction of deep convective clouds. In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of six uncertain input parameters on cloud properties (vertically integrated content of six hydrometeor classes), precipitation and the size distribution of hail. This dataset contains the processed model output and the generated emulators for three trigger mechanisms of deep convection (warm bubble, cold pool, orography).
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions
Processed micro-tomographic scan of the ant Tetramorium amentete, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data for the publication "Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM"
Amorphous materials, e.g., polymers, metallic and oxidic glasses, consist of heterogeneous atomic/molecular packing at the nanoscale. Spatial variation of the local structure plays an important role in determining material properties. Experimentally probing the local atomic structure within the amorphous phase has been one of the main challenges for material research. Here, we present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine learning (ML) aided four dimensional-scanning transmission electron microscopy (4D-STEM). We utilized nonnegative matrix factorization (NMF) to identify the local structural types of metallic glasses from the 4D-STEM dataset. Using Fe-based metallic glasses as a model system, we demonstrate that two basic structural types, one with a more liquid-like and another with a more solid-like structure, are distributed throughout the glass with a characteristic length scale of a few nanometers. Thermal annealing induces a change in their distribution and relative population but without the appearance of any additional phase. This provides new insight into the relaxation phenomena of metallic glass and solid experimental evidence for the theoretical hypothesis on atomic packing in glassy structures.
Four dimensional-scanning transmission electron microscopy (4D-STEM)
Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM
Updated version of the landscape-level prediction maps of standig deadwood from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (https://doi.org/10.1016/j.ophoto.2023.100034) The prediction maps are for the years 2018 to 2021 and for all federal states in Germany. Files are named according to ISO 3166-2 and year, respectively. Sentinel-2 timeseries were created using the FORCE "Framework for Operational Radiometric Correction for Environmental monitoring": Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124 (https://doi.org/10.3390/rs11091124)
Data package v2: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 350°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 350°C dataset
# Secure logging from fault-tolerant aggregate signatures ## Information This is a simple implementation of the logging system described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, [also available from the IACR E-Print-Server](https://eprint.iacr.org/2017/949)). ## Disclaimer This is an academic implementation used for benchmarking in the paper. Since this is the only purpose, this impelmentation is not well tested and reviewed for security and therefore should be used with caution. ## Used libraries - Boost unit test framework - [libpbc](https://crypto.stanford.edu/pbc/) with [pbcwrapper](https://crysp.uwaterloo.ca/software/PBCWrapper/) - [NTL](http://www.shoup.net/ntl/) ## Build instructions Make sure that boost, libpbc and NTL are installed. (The versions of libpbc and NTL used for the benchmarks reported in the paper can be found in the lib folder.) Then run: ``` mkdir build cd build cmake .. make ``` pbcwrapper will be built automatically during this process.
Implementation of Robust/Fault-Tolerant Secure Logging Scheme described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, DOI: 10.1007/978-3-319-68637-0_6)
The data in this repository is linked to the research article: "A comprehensive 3D velocity model for the European Alps: New insights into the crustal structure", submitted to JGR Solid Earth Authors: Benedikt Braszus - Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe, Germany Andreas Rietbrock - Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe, Germany Christian Haberland - Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany This data repository contains the following files and subdirectories: model - Layerwise .grd files for vp, vp/vs & vs models between -4km and 79km depth resolution - grid masks indicating the resolved parts of the model space - "P" in the filename refers to the "vp" model, "PS" refers to the "vp/vs" and "vs" model - grid masks are given for the discrete depths of 0, 10, 18, 28, 40, 55 and 70km, i.e. the grid at 18km is valid for the depth range of 14-23km events - events.txt - Event catalog of 2553 events upon which the velocity inversion is based stations - station_list.csv - stations_renamed.txt picks - EQKS - SIMUL EQKS file of the single inversion run with the lowest misfit - note that hypocentral parameters in this file do exactly match the ones given in the final event catalog, because the event catalog is an average over the best 20 individual runs - absolute arrial times given by the event origin time plus the travel time to each station are accurate, though
A comprehensive 3D velocity model for the European Alps based on local earthquake tomography
The recent rapid improvement of machine learning techniques had a large impact on the way seismological data can be processed. During the last years several machine learning algorithms determining seismic onset times have been published facilitating the automatic picking of large data sets. Here we apply the deep neural network PhaseNet to a network of over 900 permanent and temporal broad band stations that were deployed as part of the AlpArray research initiative in the Greater Alpine Region (GAR) during 2016-2020.
# == This file is summarizing the content of the data files in this repository published together with the article: AI based 1D P & S-wave Velocity Models for the Greater Alpine Region from Local Earthquake Data When you are using the data provided please cite: Benedikt Braszus, Andreas Rietbrock, Christian Haberland, Trond Ryberg, AI based 1D P & S-wave Velocity Models for the Greater Alpine Region from Local Earthquake Data, Geophysical Journal International, 2024;, ggae077, https://doi.org/10.1093/gji/ggae077 VELOCITY FILES AlpsLocPS_VEL.mod - VELEST model file of 'AlpsLocPS_VELEST' (red in Fig. 6 of Braszus et al., 2024) AlpsLocPS_McMC.mod - McMC model of 'AlpsLocPS_McMC' (orange in Fig. 6 of Braszus et al., 2024) GAR1D_PS_VEL.mod - VELEST model file of 'GAR1D_PS_VELEST' (lime in Fig. 6 of Braszus et al., 2024) GAR1D_PS_McMC.mod - McMC model of 'GAR1D_PS_McMC' (purple in Fig. 6 of Braszus et al., 2024) STATION FILES Station corrections have to be substracted from the synthetic travel times ! Only stations with >= 10 observations per phase are included. The column "station4char" contains the 4-character station name used for the VELEST inversions ( see GAR1D_PS.CNV ) AlpsLocPS_sta_cors.csv - File listing station data and P- & S-phase station correction terms for the "AlpsLocPS_VELEST" and "AlpsLocPS_McMC" models after relocating all events ( see Table 2 'run2' in Braszus et al., 2024 ) GAR1D_sta_cors.csv - File listing station data and P- & S-phase station correction terms for the final "GAR1D_PS_VELEST" and "GAR1D_PS_McMC" models EVENT FILE events_VELEST.csv - Catalog of relocated events using VELEST PICK FILE GAR1D_PS.CNV - .CNV file of final VELEST run yielding the GAR1D_PS_VELEST model - the 4-character station names can be mapped back to the true names with the station file "GAR1D_sta_cors.csv"
AI based 1D P & S-wave Velocity Models for the Greater Alpine Region from Local Earthquake Data
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2003 - 2012
Processed micro-tomographic scan of the ant Mycocepurus goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The electrochemical Shono oxidation of N-formylpyrrolidin: Mechanistic insights from the computational ferrocene electrode model and cyclic voltammetry: SI
Umo_et_al_Table_1.csv is the data from Table 1: Sources, specific surface areas, pore volume,and the mediandiameter of coal fly ash aerosol particles used in this study. Umo_et_al_Table_2.csv is the data from Table 2: Information on the various ice nucleation experiments conductedduring two distinct AIDA measurement campaigns namedCAINIC01 and EXTRA18. Umo_et_al_Figure_7.csv is the data shown in Figure 7: Summary of the ice-activated fraction (%) of unprocessed and processed CFA_Cy, CFA_Mi, CFA_Ja, and CFA_Wh particles as a function of temperature. Umo_et_al_Figure_8.csv is the data shown in Figure 8: Comparison of the ice nucleation enhancement of CFA particles and other particles studied by Wagner et al. (2016).
Data from Figures and Tables from Umo et al. (2019), Atmos. Chem. Phys.
"Entwicklung sportmotorischer Eigenschaften und sportliche Aktivitaet bei Erwachsenen." in Leibesübungen, Leibeserziehung, 37 (1983) 5, S. 99-106
This code is used for the numerical experiment in Section 6 of the preprint "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" by Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.3.2) has to be installed, cf. https://www.dealii.org/9.3.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Finally, run the program with "make run". This performs the computations and generates the file "results" containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'.
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions"
Processed micro-tomographic scan of the ant Crematogaster matsumurai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is an example to run the PEERP (Pacing at the End of the Refractory Period, Luca Azzolin et al., https://doi.org/10.3389/fphys.2021.656411) protocol using a monoatrial left atrium (LA) mesh, with fibers and region annotation. The mesh is the mean LA geometry from the SSM (Statistical Shape Model) proposed by Claudia Nagel et al. ([doi:10.5281/zenodo.4309957](https://doi.org/10.5281/zenodo.4309957)) and the fibers and annotations were generated using AugmentA code https://github.com/KIT-IBT/AugmentA (https://doi.org/10.1016/j.compmedimag.2023.102265) by Luca Azzolin et al.
European Union’s Horizon 2020 research and innovation programme - Marie Skłodowska-Curie Actions
The Right Atrium Affects In Silico Arrhythmia Vulnerability in Both Atria
This repository provides the transformation network simulator developed for the paper "Termination and Expressiveness of Execution Strategies for Networks of Bidirectional Model Transformations". It serves as a reproduction package for the insights on execution strategies of transformation networks given in the paper. The artifacts comprise the sources for the simulator and a generated ready-to-use web application. In the simulator, the execution strategy presented in the paper as well as different other execution strategies for comparison are implemented and can be executed on different example scenarios, containing the scenario based on UML, Java, and OpenAPI that we have depicted in the paper.
Reproduction Package for the Paper on Termination and Expressiveness of Execution Strategies for Networks of Bidirectional Model Transformations
IASI (Infrared Atmospheric Sounding Interferometer) is the core instrument of the currently three Metop satellites of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites). The MUSICA IASI processing has been developed in the framework of the European Research Council project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). The processor performs an optimal estimation of the vertical distributions of H2O, the ratio HDO/H2O, N2O, CH4, and HNO3, and works with IASI radiances measured for cloud-free conditions. The MUSICA IASI full retrieval product standard output (processing version 3.2.1) data set provides full information on the retrieval input (e.g. a priori and constraints) and output (inverted trace gas profiles, error profiles and covariances, averaging kernels and averaging kernel metrics), and covers the period between October 2014 and June 2019. The complete data set has a volume of about 25 TB and is archived at bwDataArchive (a long-term data archive for scientific data). Details on data format, access, and authenticity are given in the file "ReadMe.pdf". The files "*.md5" collect the MD5 checksums of the data in bwDataArchive and allow the verification of the authenticity of the data set provided via the download link. The file "IASIAB_MUSICA_030201_L2_AllTargetProducts_20180801.tar" is an example of the data set and contains data for all orbits of day 20180801. A detailed description of the MUSICA IASI full retrieval product is given in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
MUSICA IASI full retrieval product standard output (processing version 3.2.1)
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** The measuring data were collected during intensive observation periods (IOP) in Stuttgart, Germany, under the BMBF Programme ‘Urban Climate Under Change’ [UC]2. ### **2. Temporal coverage** 01.02.2017 - 31.08.2018 ### **3. Data file structure and variables** The parent UC2_IMK_TRO_KIT data folder contains archived directories, corresponding to a particular measuring device (***WINDCUBE8, RPG_HATPRO_G4*** and ***VIRTUAL_TOWERS*** ). ***WINDCUBE8*** folder contains files of wind vectors measurements at different heights retrieved from Windlidar WINDCUBE8. ***RPG_HATPRO_G4*** folder contains data files from microwave radiometer measurements. The stored variables are cloud liquid water content, atmosphere mass content of water vapor, infrared radiometer brightness temperature, air pressure, as well as vertical temperature profiles and vertical absolute humidity profiles. ***VIRTUAL_TOWERS*** folder contains profiles of horizontal wind retrieved with the dual-Doppler Lidar technique ‘Virtual towers’. ### **4. Devices and Locations** The Doppler wind lidar WINDCUBE8 (WLS8-3 manufactured by Leosphere) was located on a rooftop of the city hall in the city centre (48.774667°N / 9.178287°E). The name of this location is cityhall. This abbreviation is the part of file name; see paragraph 6. The microwave radiometer (RPG HATPRO G4) manufactured by RPG-Radiometer Physics GmbH was located on a rooftop of the city hall tower in the city centre (48.775017°N / 9.177928°E). The name of this location is cityhalltow. This abbreviation is the part of file name; see paragraph 6. The six virtual towers were located in the Stuttgart city basin and in the Neckar valley. The names and coordinates of the six virtual towers are: wolfram (48.792912°N / 9.180950°E), citycannstat (48.788833°N / 9.190096°E), citywera (48.787575°N / 9.194673°E), naehter (48.780160°N / 9.226197°E), bcmercedes (48.787883°N / 9.233923°E), uthbherzogen (48.794566°N / 9.245064°E). These abbreviations are the parts of file names; see paragraph 6. ### **5. Type of files** WINDCUBE8, RPG_HATPRO_G4, VIRTUAL_TOWERS folders contain NetCDF-files created using Matlab R2016b regarding CF-1.7 convention. ### **6. The file name** The name of the NetCDF-file consists of some abbreviations: ***campaign-location-site-acronym-data_content-origin_date-version.nc*** Example: ***IOP02-S-cityhall-KITimktro-meteo-20170815-1.nc*** ***campaign***: IOP0X , where X is the number of an IOP. X=1: February-March 2017. X=2: June-August 2018. X=3: January-March 2018. X=4: June-August 2018. ***location***: S indicates Stuttgart. ***site***: i.e cityhall stands for location of WINDCUBE8. See paragraph 4. ***acronym***: KITimktro, stands for Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Department Troposphere Research. ***origin_date***: measuring date in the format YYYYMMDD (year, month, day) YYYYMMDD. ***version***: 1 ***data_content***: see paragraph 7. ### **7. Data content** ***WINDCUBE8*** folder contains data files with two different data contents: ***meteo*** and ***w***. The data file with the content ***meteo*** includes time series profiles of eastward (***ua***) wind and northward wind (***va***) vectors averaged over 10 minutes periods. The data file with the content ***w*** includes time series profile of vertical wind velocity (time resolution of 7 sec). ***RPG_HATPRO_G4*** folder contains data files with three different data types: ***meteo***, ***ta***, ***haa***. ***meteo*** includes time series of atmosphere cloud liquid water content (***lwp***), atmosphere mass content of water vapor (***prw***), infrared radiometer brightness temperature (***tb***), and air pressure (***plev***) from microwave radiometer measurement (time resolution of 4 sec). ta includes vertical temperature profiles (time resolution of 15 min) and ***haa*** contains vertical absolute humidity profiles (time resolution of 4 sec). ***VIRTUAL_TOWERS*** includes time series profiles of eastward (***ua***) wind and northward wind (***va***) vectors (time resolution of ca. 15 min). Information about processing of variables is given in the global attributes and in the attributes for the individual variables in each NetCDF-file.
Die meteorologischen Daten zu den Temperatur-, Feuchte- und Windfeldern wurden während vier Messkampagnen in Stuttgart im Sommer 2017, Winter 2017, Sommer 2018 und Winter 2018 erhoben. Doppler Lidarsysteme und ein Mikrowellenradiometer wurden zur Erfassung und zur Analyse der horizontalen Struktur des innerstädtischen Windfeldes und der vertikalen Struktur der urbanen Grenzschicht eingesetzt. Die Messungen wurden im Rahmen des Verbundprojekts „Dreidimensionale Observierung atmosphärischer Prozesse in Städten (3DO)“ durchgeführt. 3DO gehört zu einem der drei Module der BMBF-Fördermaßnahme Stadtklima im Wandel (UC2). Mehr Information über Ziele der UC2 Fördermaßnahme ist auf http://www.uc2-program.org/ und in den aufgelisteten Übersichtspublikationen zu finden. Dieter Scherer, Felix Ament, Stefan Emeis, Ute Fehrenbach, Bernd Leitl, Katharina Scherber, Christoph Schneider, and Ulrich Vogt (2019): Three-Dimensional Observation of Atmospheric Processes in Cities. Meteorologische Zeitschrift 2, 2019. doi: 10.1127/metz/2019/0909. Dieter Scherer, Florian Antretter, Steffen Bender, Jörg Cortekar, Stefan Emeis, Ute Fehrenbach, Günter Gross, Guido Halbig, Jens Hasse, Björn Maronga, Siegfried Raasch, und Katharina Scherber (2019): Urban Climate Under Change [UC]2 – A National Research Programme for Developing a Building-Resolving Atmospheric Model for Entire City Regions. Meteorologische Zeitschrift 2, 2019. doi:10.1127/metz/2019/0913.
This dataset of meteorological observations (temperature, humidity, wind) was collected during four field campaigns in Stuttgart, Germany, in summer 2017, winter 2017, summer 2018, and winter 2018. Doppler lidars and a microwave radiometer were deployed to investigate horizontal structures of intra-urban horizontal wind field patterns and vertical structures of the urban boundary layer. The measurements were conducted within the project ‘Three-dimensional Observation of Atmospheric Processes in Cities’ (3DO). 3DO is one of three modules of the programme ‘Urban Climate Under Change’, [UC]2, funded by the German Federal Ministry of Education and Research (BMBF). More information on the goals of the UC]2 programme can be found on http://www.uc2-program.org/ and in the overview papers listed below. Dieter Scherer, Felix Ament, Stefan Emeis, Ute Fehrenbach, Bernd Leitl, Katharina Scherber, Christoph Schneider, and Ulrich Vogt (2019): Three-Dimensional Observation of Atmospheric Processes in Cities. Meteorologische Zeitschrift 2, 2019. doi: 10.1127/metz/2019/0909. Dieter Scherer, Florian Antretter, Steffen Bender, Jörg Cortekar, Stefan Emeis, Ute Fehrenbach, Günter Gross, Guido Halbig, Jens Hasse, Björn Maronga, Siegfried Raasch, und Katharina Scherber (2019): Urban Climate Under Change [UC]2 – A National Research Programme for Developing a Building-Resolving Atmospheric Model for Entire City Regions. Meteorologische Zeitschrift 2, 2019. doi:10.1127/metz/2019/0913.
Data set of meteorological observations (wind, temperature, humidity) collected from a microwave radiometer and lidar measurements during four intensive observations periods in 2017 and 2018 in Stuttgart, Germany, under the BMBF Programme ‘Urban Climate Under Change’ [UC]2).
Motorische Leistungsfähigkeit von Augsburger Grundschulkindern 2018. 7-9 Jahre alt.
Motorische Leistungsfähigkeit von Augsburger Grundschulkindern 2018
Die 2554 User-Storys sind von der abstrakten Form "Als [Rolle], wünsche ich mir [Mittel], um [Zweck]." Zusätzlich sind Informationen über die Forschungsdisziplin nach DFG-Schema gespeichert und wie die Story kategorisiert wurde. Es ist eine einfache CSV-Datei mit Semikolon als Trennzeichen.
In 2554 User Storys wurden die Aussagen von 779 Forschenden zu ihren Bedarf beim Umgang mit Forschungsdaten zusammengefasst. Der zugehörige Projektabschlussbericht fasst diese Einzelaussagen in durch diese Daten quantifizierbaren Themen zusammen.
Processed micro-tomographic scan of the ant Paratrachymyrmex cornetzi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coke hierarchical porous sample Ni/Al$_{2}$O$_{3}$-hc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an artificially coked hierarchical porous Ni/Al$_{2}$O$_{3}$ catalyst
This is the dataset accompanying the paper "Shaving Peaks by Augmenting the Dependency Graph" by Barth and Wagner The dataset contains a snapshot of the code used for publication. The code snapshot itself contains documentation on how to use it. Note that a more up-to-date version of the same code may be found at https://github.com/kit-algo/TCPSPSuite/ . The code in this data set should only be used if using the exact same software as for the original publication is desirable. In the paper, three instance sets, a small, a large and a "window" instance set are described. These are included here, too. A description of the data format is included within the documentation of the code.
Dataset accompanying "Shaving Peaks by Augmenting the Dependency Graph"
**Folder "hy_data/":** Hyperspectral data for the five measurement areas area1, area2_1, area2_2, area3, area4, area5, as GeoTiff (.tif) files with header (.hdr) files. - Coordinate system: WGS 84 (EPSG 4326) - 170 spectral bands, included in the header files - Information about the calibration and corrections are included in the header files **Folder "sm_data/":** Soil moisture data of the five measurement areas 1, 2, 3, 4, and 5. The measurements are provided in `peru_soilmoisture.csv`. The columns are defined as follows: - area: Measurement areas 1-5 (integer) - long: Longitude coordinate, WGS 84, in degrees (float) - lat: Latitude coordinate, WGS 84, in degrees (float) - soilmoisture_perc: Volumetric soil moisture content, in percent (float) - weather: Notes about weather conditions (string) - datetime: Date of the soil moisture measurement and start date of a measurement, in Peru Time (PET) (string in the iso 8601 format "YYYY-MM-DD hh:mm:ss")
The Aerial Peruvian Andes Campaign (ALPACA) dataset was acquired during a measurement campaign of the Institute of Photogrammetry and Remote Sensing (IPF) and the Institute of Water and River Basin Management - Hydrology (IWG) of the Karlsruhe Institute of Technology (KIT). The measurement campaign was conducted in Peru, in the catchment area of the river Lurín near Lima, in April 2019. Areas in five different locations between 2700 m and 3700 m above mean sea level are included. The ALPACA dataset consists of hyperspectral data in the range of 900 nm to 2500 nm and soil moisture point data in the range of 4 % to 89 %. The hyperspectral data was acquired with a Headwall Hyperspec SWIR sensor, which was mounted on DJI Matrice 600 Pro an Unmanned Aerial Vehicle. About 27 600 square meters of hyperspectral data were acquired with a pixel edge length of about 3 cm. A detailed description of the data acquisition can be found in [1]. The soil moisture data was measured with a handheld ThetaProbe sensor. As a result, 236 soil moisture values are provided. The point measurements were performed in a grid of various distances between 5 m and 15 m. The processing of the dataset is described in [1] and published in [2]. Acknowledgment: The ALPACA dataset is published as part of the Trust project, which is funded by the German Federal Ministry of Education and Research (BMBF). We thank Philipp Wagner and Julian Bocanegra for their help during the measurement campaign. Further, we thank Stefan Hinz and Erwin Zehe. **References:** [1] Felix M. Riese. "Development and Applications of Machine Learning Methods for Hyperspectral Data." Ph.D. Thesis. Karlsruhe Institute of Technology, Karlsruhe, Germany. 2020. [2] Felix M. Riese. "Processing Scripts for the ALPACA Dataset." Zenodo. 2020.
Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019
A multi-photon (7×7)-focus 3D laser printer based on a 3D-printed diffractive optical element and a 3D-printed multi-lens array
This is the original data for the article Thomas, J., Barrett, A., and Hoose, C.: Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-740, 2022, accepted for publication in Atmospheric Chemistry and Physics. The folder data contains simulation output. Folder names correspond to the temperature and CCN perturbations as in the article. 3d-Fields for the reference simulation (PB-T-500) can be obtained from the authors upon request. Some data, such as rain water flux and average hydrometoer content, has been preprocessed in order to minimize the file size. Link to openstreetmap (Fig. 2b): http://share.mapbbcode.org/sqaev
Research data for "Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood"
Karlrsruhe Institute of Technology; Institute of Biological and Chemical Systems – Functional Molecular Systems
Heidelberg University; Institute of Organic Chemistry, Centre for Advanced Materials. Karlrsruhe Institute of Technology; Institute of Nanotechnology
Karlrsruhe Institute of Technology; Institute of Nanotechnology
Karlrsruhe Institute of Technology; Inst. of Functional Interfaces, Karlsruhe Nano Micro Facility
Material-Independent 3D Patterning Via Two-Photon Lithography and Discontinuous Wetting
The research data contains the raw data of the results published in the paper.
Research Data for publication 'Electrodeposition of chitosan enables synthesis of copper/carbon composites for H2O2 sensing'
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara atoma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V2 (videos)
Processed micro-tomographic scan of the ant Tetramorium venator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
DAMAST-KIT-2: Geophysical Borehole Logging Data
The two folders comprise data of the photoreactor optimization and analysis reported in the linked article. The folder with the photoreactor optimization data comprises code and simulation results. The folder with the photoreactor analysis comprises simulation results and experimental results in the corresponding subfolders. The code is written in MATLAB. Reading and modifying the code requires a working MATLAB environment. Running the code may further require the MATLAB global optimization toolbox and the MATLAB parallel computing toolbox.
Solar-driven processes inspire hopes and dreams of a sustainable future on planet earth. However, the design and optimization of photoreactors for specific reaction systems is a complex task at the interface of material science and engineering. The objective of the design process is, thereby, to derive a photoreactor that provides both optimal operating conditions and a high efficiency of radiation transport. The published data set accompanies the publication ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. The referenced manuscript introduces reflective multi-pass photoreactors, an optimization strategy for such photoreactors, underlines the validity of the chosen approach by the experimental demonstration of a potassium iron(III) oxalate photoreduction, and lastly derives a concise design guideline that supports the adaptation to other reaction systems. The published dataset comprises the optical simulation environment, the optimization algorithm code, the simulation results, and experimental data presented in the manuscript.
Sonnengestützte Prozesse inspirieren Hoffnungen und Träume von einer nachhaltigen Zukunft auf dem Planeten Erde. Das Design und die Auslegung von Fotoreaktoren für spezifische Reaktionssysteme ist jedoch eine komplexe Aufgabe an der Schnittstelle zwischen Materialwissenschaften und Engineering. Die Zielstellung des Auslegungsprozesses ist es dabei stets einen Fotoreaktor zu entwerfen, der sowohl optimale Betriebsbedingungen als auch eine hohe Strahlungstransporteffizienz sicherstellt. Der Veröffentlichte Datensatz begleitet die Veröffentlichung ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. Die genannte Veröffentlichung führt dabei reflektionsbasierte multipassagen Fotoreaktoren und eine Optimierungsstrategie für solche Fotoreaktoren ein. Das Manuskript unterstreicht die Validität des Konzepts durch die experimentelle Demonstration einer Fotoreduktion von Kaliumeisen(III)oxalat und leitet zuletzt eine Designrichtlinie ab, die die Adaption des Fotoreaktors auf andere Reaktionssysteme erleichtert. Der veröffentlichte Datensatz umfasst die verwendete optische Simulationsumgebung, den Code des Optimierungsalgorithmus, Simulationsergebnisse und experimentelle Ergebnisse, die im referenzierten Manuskript dargestellt werden.
Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis: code, simulation data, and experimental data
In: Medizin und Sport 17 (1977) 1, 18-26
In the following some data description is provided: - date format is dd/mm/yyyy - every transmission line is in one column: - data is given as follows "color / int W": int W indicates the amount of load in Watt [W] on the respective line, color indicates the ratio of load and thermal capacity limit: green: below 50 percent, yellow between 50 and 70 percent, red over 70 percent of the thermal capacity limit or grey if no data could be published
The data sets comprise hourly congestion data of the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most from congestion in their grids (96 % of German transmission grid congestion appears here). While other German TSOs do not publish their respective congestion data, 50 Hertz GmbH provides hourly values. The data is not preprocessed but merged into one file to allow faster analysis. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
This dataset holds additional materials to the paper "Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security".
Software updates take an essential role in keeping IT environments secure. If service providers delay or do not install updates, it can cause unwanted security implications for their environments. This paper conducts a large-scale measurement study of the update behavior of websites and their utilized software stacks. Across 18 months, we analyze over 5.6M websites and 246 distinct client- and server-side software distributions. We found that almost all analyzed sites use outdated software.
Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security
Processed micro-tomographic scan of the ant Strumigenys aff zeteki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This archive provides supplementary materials for the doctoral thesis Optimized Energy Hub Scheduling Using Evolutionary Algorithms. For an elaborate explanation of the contents, please see README.md.
Optimized Energy Hub Scheduling Using Evolutionary Algorithms - Supplementary Materials
Processed micro-tomographic scan of the ant Stenamma heathi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Updated version see http://dx.doi.org/10.35097/1859. The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year.
The data set comprises nitric oxide data of the Earth's middle and upper atmosphere region for the years 2002-2012 as rerieved from all acquisition modes of infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. Further, temperature data for the upper atnmosphere mode of MIPAS is provided. The data version is V8.
MIPAS IMK/IAA version 8 retrieval of nitric oxide and lower thermospheric temperature
Produktentwicklung und Produktdesign sind ein Bereich in dem Nachhaltigkeit als Handlungskonzept wirksam wird. Unser moderner Lebensstil deckt unsere Bedürfnisse wie Essen, Wohnen, Mobilität und Unterhaltung vor allem auf Basis von Produkten und Dienstleistungen. Pro Kopf bewohnt in Deutschland eine Person 47,4 m2, ist im Schnitt 39 km täglich unterwegs und isst ca. 679 kg Nahrungsmittel im Jahr. Dies hat einen großen wirtschaftlichen und sozialen Nutzen, aber auch beträchtliche negative Auswirkungen auf die Umwelt. Dabei ist eine zentrale Herausforderung: wie können Produkte nachhaltiger werden?
Nachhaltige Produktentwicklung und Ökodesign
The archive includes one dataset of 1200 natural images that was collected to test pre-trained model. Filename structure: [line type, code]-[line width in nm]-[SD in nm]-[pixel density in mpx/mm]. Pixel density is reciprocal to the image resolution. Line type and code structure: [diw/ijp]: direct-written or inkjet-printed line, [first number]: sequence number, [a/b]: printed line or interline space, [last number]: 0 - original image, 1 - vertically mirrored and gamma-corrected image, 2 - horizontally mirrored and gamma-corrected image, 3 - 180° rotated and gamma-corrected image, 4 - solely gamma-corrected image. Gamma correction was randomly set in the range [0.5, 1.5].
Extended Natural Dataset for Rapid Deep-Learning-Based Optical Measurement of Printed Linear Structures
Unter Verwendung der im ZIP-File bereitgestellten Informationen bzw. Anwendungen, lassen sich die im Forschungsverbund zur Selbstregulation im Alltag von Studierenden (SriAS 2 Practice, gefördert vom BMBF) produzierten Kurzvideos miteinander verknüpfen. Sofern die vier Videos der Serie (siehe Verweise zur Relation) gemeinsam präsentiert werden sollen, lässt sich die Verknüpfung unter Verwendung der hier bereitgestellten Sekundärinformation leicht umsetzen.
Um Zugriff auf das ZIP-File mit allen notwendigen Daten und Informationen zu erhalten, rufen Sie eine korrigierte Version dieses Nachweises unter folgendem Link auf: http://dx.doi.org/10.5445/IR/1000126678
Appendix (SriAS2Practice): Code & Daten zur Verknüpfung der Videos bei Veröffentlichung auf einem Web-Server
The interplay of electronic correlations, multi-orbital excitations, and strong spin-orbit coupling is a fertile ground for new states of matter in quantum materials. Here, we report on a confocal Raman scattering study of momentum-resolved charge dynamics from a thin film of semimetallic perovskite $\mathbf{SrIrO_3}$. We demonstrate that the charge dynamics, characterized by a broad continuum, is well described in terms of the marginal Fermi liquid phenomenology. In addition, over a wide temperature regime, the inverse scattering time is for all momenta close to the Planckian limit $\mathbf{\tau^{-1}_{\hbar}=k_{\rm B} T/\hbar}$. Thus, $\mathbf{SrIrO_3}$ is a semimetallic multi-band system that is as correlated as, for example, the cuprate superconductors. The usual challenge to resolve the charge dynamics in multi-band systems with very different mobilities is circumvented by taking advantage of the momentum space selectivity of polarized electronic Raman scattering. The Raman responses of both hole- and electron-pockets display an electronic continuum extending far beyond 1000\icm ($\sim$125 meV), much larger than allowed by the phase space for creating particle-hole pairs in a regular Fermi liquid. Analyzing this response in the framework of a memory function formalism, we are able to extract the frequency dependent scattering rate and mass enhancement factor of both types of charge carriers, which in turn allows us to determine the carrier-dependent mobilities and electrical resistivities. The results are well consistent with transport measurement and demonstrate the potential of this approach to investigate the charge dynamics in multi-band systems.
Excel file containing all the data of the manuscript (Fig. 2 to 5)
A Fully Inkjet-Printed Unipolar Metal Oxide Memristor for Nonvolatile Memory in Printed Electronics
PRESLHY Experiment series 4.4; Material of the ground: water
This package provides the data used for the evaluation of various algorithms for the Wind Farm Cabling Problem in the doctoral thesis 'Cable Layout Optimization Problems in the Context of Renewable Energy Sources' by Sascha Gritzbach. For further information refer to the Readme file.
Wind Farm Data Supplement for 'Cable Layout Optimization Problems in the Context of Renewable Energy Sources'
Chiral metamaterials can translate purely translational motions into rotations. The strength of this coupling is quantified by the chiral response, which describes the angle by which a straight prismatic rod twists when subjected to a pure tensile or compressive load. The blocking torque describes how much torque is required to prevent the rod from twisting. For continuum mechanical modeling of a chiral response, generalized models such as micropolar continuum theory are needed. In micropolar elasticity, various characteristic lengths exist, allowing size-dependent material properties to be modeled. If the dimension of a sample is much larger than the characteristic length related to chirality, the chiral response vanishes. In this case, it approaches its limit with a characteristic decay inversely proportional to the sample size. In this work, finite element simulations of an idealized lattice structure under tensile load were used to show that the characteristic length can be tailored over orders of magnitude when chiral unit cells are connected via compliant achiral coupling elements. The characteristic length increases as the connecting elements become more compliant. As the characteristic length increases, so does the chiral response. In addition, the influence of geometric nonlinearities and the sensitivity to boundary conditions increase with increasing characteristic length. The design principle derived from the idealized lattice structure has been used to design a chiral metamaterial fabricatable by two-photon stereolithography. Through direct comparison with experiments on lattice structures consisting of more than 10⁵ unit cells, the relationships predicted by the finite element simulations were validated. Lastly, non-periodic chiral structures were considered and it was shown that they can have advantageous properties over periodic structures, especially with respect to the blocking torque.
Chirale elastische Metamaterialien: Grundlegende Mechanismen und deren Nutzung zur Strukturoptimierung
Angewandte Werkstoffphysik, Graduiertenkolleg 2561: Materials Compounds from Composite Materials
BCC Mo-Ti solid solutions were synthesised by arc-melting in the range of 0-80at% Ti. Mechanical properties were scale-bridging characterised using nanoindentation, Vickers hardness testing and compression testing to isolate solid solution strengthening. Additional structural (XRD) and compositional analyses (HCGE) were also performed to assess lattice parameter and synthesis-related uptake of O and N. In order to assess strength contributions by screw and edge dislocation motion, the model-compatible descriptions of edge dislocation-controlled solid solution strengthening (Maresca and Curtin, Acta Materialia 182 (2020) 235-249) and screw dislocation controlled strengthening (Ghafarollahi and Curtin, Acta Materialia 226 (2022), 117617) were implemented and the strength of the solid solutions was modelled.
Three ASCII-files are included: Mechanical properties (nanohardness, Vickers hardness, offset yield strength and Young's modulus) are found in mech_properties.txt. Lattice parameter data, O and N contents and Ti contents determined by EDX are found in other_properties.txt. All mechanical properties are given with their standard deviation. Strength modelled by the implementations of solid solution strengthening are found in Curtin_models.txt for both dislocation types.
Raw Data to "The influence of lattice misfit on screw and edge dislocation-controlled solid solution strengthening in Mo-Ti alloys"
Processed micro-tomographic scan of the ant Tetraponera merita, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0013, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0013 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant OUTGROUP_Auplopus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Diese Publikation stellt den digitalen Anhang zur Dissertation "Funktionsorientierte Qualitätsregelung in Produktionsnetzwerken" dar. Es werden weiterführende Analysen, Ergebnisse und Erläuterungen bereitgestellt.
Digitaler Anhang der Dissertation zum Thema "Funktionsorientierte Qualitätsregelung in Produktionsnetzwerken"
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes log data. The result data is published under the DOI 10.35097/1969.
Version 1 of the dataset [1] is described in detail in [2] and Chapter 7.1 of [3]. The differences between version 1 and version 2 (this dataset) are described in the "Readme" file in [4]. [1] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]. RADAR4KIT, 2024, DOI 10.35097/1947 [2] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell. Sci Data 11, 1004 (2024). https://doi.org/10.1038/s41597-024-03831-x [3] Luh, M.: Bidirectional Charging Systems and Battery Lifetime Modeling for Vehicle-to-Grid Applications, dissertation, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, 2024, DOI: 10.5445/IR/1000174456 [4] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: result data]. RADAR4KIT, 2024, DOI 10.35097/1969
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: log data]
These files contain the data used for the publication "Modelling spanwise heterogeneous roughness through a parametric forcing approach" by K. Schäfer, A. Stroh, P. Forooghi and B. Frohnapfel published in the Journal of Fluid Mechanics, 2021. The dataset of each simulation is saved in a separate numpy file. The python script "plot_figures.py" illustrates how to read all datasets and how to plot selected figures from the paper. Note: The dataset of the previous publication on this topic (Stroh, Schäfer, Frohnapfel and Forooghi, Rearrangement of secondary flow over spanwise heterogeneous roughness, JFM, 2020) contained a mistake regarding the labeling of the considered smooth wall elevations. The paper erroneously states that those were ℎ = 0 (protruding roughness), h = k and h = 2k (recessed roughness) while the correct values are ℎ = 0, ℎ = 0.97k and ℎ = 1.70k instead. In addition, we identified a mistake in the post processing tool for the statistical averaging procedure that has been corrected. This dateset here contains the corrected data and evaluations for the simulations from the previous publication. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Kay Schäfer
Dataset for Modelling spanwise heterogeneous roughness through a parametric forcing approach
This version 2.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable <xch4>), tropospheric (ground – about 6 km a.s.l., variable <troxch4>), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable <utsxch4>) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.3.1, this version includes data over ocean in glint mode). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively). The only difference of this version 2.0 to the version 1.0 of the fused MUSICA IASI / RemoTeC TROPOMI data set (accessible at https://doi.org/10.35097/689) is the use of TROPOMI RemoTeC operational processing version 2.3.1 (instead of version 2.2.0), which offers among others additional data availability over ocean.
MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 2.0)
(Technical Remarks) This program is intended to reproduce the results from the dissertation "Strichartz estimates and error analysis of time integrations schemes for wave-type equations" of Maximilian Ruff. The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Run "run_schr.py" Parts of the code relies on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189.
Numerical experiments to "Strichartz estimates and error analysis of time integrations schemes for wave-type equations"
Direct numerical simulation (DNS) is used to systematically investigate the applicability of minimal channel approach for the characterization of double-averaged velocity and temperature profiles in irregular rough surfaces. Roughness is generated mathematically using a random algorithm, in which the power spectrum (PS) and probability density function (PDF) of the surface height function can be prescribed. 12 different combinations of PS and PDF are examined at $Re_\tau$=500.
These files contain the data used in the publication: “Study of irregular roughness in minimal channels” J. Yang, A. Stroh, S. Jakirlic, B. Frohnapfel and P. Forooghi published in proceeding ETMM13 doi: 10.5445/IR/1000140429 Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip and zero-temperature boundary conditions at the upper and lower domain wall. The flow is driven by a prescribed constant pressure gradient (CPG), a heat source term is added to the flow. The friction Reynolds number for the present case is fixed to Re_τ = 500. The structured surface is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. Data Files: The data files are saved and labeled in *.mat files. Each file contains MATLAB data consisting of the roughness height distribution and corresponding coordinates. The roughness structures are non-dimensionalized with the channel half height δ. The naming convention of the data in this database follows the JFM publication "DNS-based characterization of pseudo-random roughness in minimal channels" DOI: 10.1017/jfm.2022.33. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Jiasheng Yang (jiasheng.yang@kit.edu)
Dataset for Study of irregular roughness in minimal channels
This repository contains the datasets shown in the study 'High Homogeneous Freezing Onsets of Sulfuric Acid Aerosol at Cirrus Temperatures'. Where needed, detailed information on the data can be found in there.
Datasets to: High Homogeneous Freezing Onsets of Sulfuric Acid Aerosol at Cirrus Temperatures
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 2 of 4
Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.4.1
Data for A Multi-Scale Approach to Simulate the Nonlinear Optical Response of Molecular Nanomaterials
Processed micro-tomographic scan of the ant Octostruma rugifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster lineolata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.3.0
We introduce an inverse design methodology for a new class of eigenfrequency-invariant metamaterial-resonators, targeting nuclear magnetic resonance detection at ultra-high B0 field, and operating at two specified frequencies selected from within the 100-1500 MHz range. The primary optimisation goal is to maximise the magnetic field intensity and uniformity within a liquid sample, while the electric energy should be kept to a minimum level to reduce dielectric heating or quadrupolar moment excitation effects. Due to the symmetric geometry requirement of the cavity, a demultiplexer is also designed to direct each discrete resonant signal to another predetermined output port of the resonator. In order to reduce the geometrical dependency of the resonance frequency, a bespoke metamaterial is used for the cavity host. Therefore, an additional optimisation problem for a unit cell domain is defined to seek a proper material layout for the host region of the resonators. Given the sensitivity of the frequency domain, the optimisation process is effectively regulated through the utilisation of both a Helmholtz filter and a projection method. It is found that considerable improvements of the resonator quality factor can be obtained through this optimisation process.
The simulation data can be handled using COMSOL software.
Double-resonant resonators · Topology optimisation · Ultra-high field NMR · Metamaterials · Eigenfrequencyinvariant detectors · Demultiplexer
Concept for a geometry-insensitive high-field magnetic resonance detector
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coked mesoporous sample Ni/Al$_{2}$O$_{3}$-mc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an artificially coked mesoporous Ni/Al$_{2}$O$_{3}$ catalyst
Processed micro-tomographic scan of the ant Tetramorium wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus sp n inermis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Wasmannia sulcaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data associated with Azzola J, Thiemann K, Gaucher E. Integration of Distributed Acoustic Sensing for real-time seismic monitoring of a geothermal field. Geothermal Energy – Science, Society and Technology. 2023. - mini-seed files include data subsets for both events studied in the article: DAS strain-rate data are sampled at 500Hz and provided unfiltered, with station names defined as the depth of the measuring point in well TH3 (datum is ground level). - python codes associated with the processing of the DAS strain-rate datasets on the Azure cloud work stations. The codes aim in particular at reading HDF5 files generated by the interrogator and transferred to the Azure data lake. Corresponding author: Jerome Azzola, jerome.azzola@kit.edu
Distributed Acoustic Sensing (DAS) data associated with a 6-month seismic monitoring of the Schäftlarnstraße geothermal site (Munich, Germany)
Processed micro-tomographic scan of the ant OUTGROUP_Vespa analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This archive contains A) the data and B) the analysis scripts corresponding to the manuscript “Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds” by Christoph Braun [1], Johannes Hörner [2], Aiko Voigt [2], and Joaquim G. Pinto [1] [1] IMK-TRO, Karlsruhe Institute of Technology [2] IMG, University of Vienna Please contact Christoph Braun (christoph.braun@kit.edu) or Aiko Voigt (aiko.voigt@univie.ac.at) if you have questions regarding the content of this archive. A) Data The dataset contains postprocessed model output data produced with the general circulation models “Community Atmosphere Model v3.1” (CAM) from the National Center for Atmospheric Research, Boulder, Colorado, and “ICOsahedral Nonhydrostatic” model with the climate physics package (version AES 1.3.00) from the Max-Planck Institute of Meteorology, Hamburg, Germany. The dataset contains - 2d data for all simulations and 3d data for selected simulations; zonal-mean and global-mean monthly-mean and climatological data (format: netcdf) - initial and boundary conditions (format: netcdf) - runscripts (located in the subdirectories corresponding to each model) - analysis code The data is organized in 5 subdirectories, each corresponding to one of the following model configurations. - CAM - CAM pCOOKIE - CAM pCOOKIE subtropical columns - ICON - ICON WBF We describe how we obtained and modified CAM and ICON in the files “CAM_description” and “ICON_description”. We also provide the runscripts for the conducted simulations. We further describe the postprocessing steps performed with CDO in the file “Postprocessing_CDO”. B) Analysis scripts The analysis scripts are located in the subdirectory “analysis_scripts”. The directory "analysis" will contain intermediate results generated by the analysis scripts and the directory "figures" will contain the figures generated by the analysis scripts. To run the analysis scripts we applied the following libraries as provided by the German Climate Computing Center (DKRZ) using the Kernel „ESMValTool“. * xarray (0.17.0) * numpy (1.20.1) * matplotlib (3.3.4) * scipy (1.5.3) * cftime (1.2.1) * pandas (1.2.2) * statsmodels (0.12.2)
Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds – Dataset and analysis scripts
# Error analysis of DGTD for linear Maxwell equations with inhomogeneous interface conditions This code was used for the numerical experiments in the paper> ERROR ANALYSIS OF DGTD FOR LINEAR MAXWELL EQUATIONS WITH INHOMOGENEOUS INTERFACE CONDITIONS>> By B. Dörich, J. Dörner, M. Hochbruck This software is published in accordance with the guidelines for safeguarding good research practice and thus serves to reproduce the experiments in the above-mentioned publication. ## Requirements The code is written in C++17 and uses the software packages * [deal.II](https://www.dealii.org/), Version 9.5.0 * [CMake](https://cmake.org/), Version 3.22.1 * [TiMaxdG](https://gitlab.kit.edu/kit/ianm/ag-numerik/projects/dg-maxwell/timaxdg), Commit #2002f893 * [fftw](https://www.fftw.org/) Version 3.x.x (with quadmath) Note that the authors of this paper develope the software package TiMaxdG. Therefore, the source code is provided within this repository and uses of the main branch with the hash #2002f893. For plot generation, Python 3 is used with the usual scientific software stack (numpy, scipy, matplotlib ...). Any reasonable new distribution works. For convenience, we provide a reproduction environment via [docker](https://www.docker.com/) and [enroot](https://github.com/NVIDIA/enroot). For that, please consider the installation instructions for the tools and the files: * .devcontainer/Dockerfile * .devcontainer/README.md * .devcontainer/ENROOT.md ## Reproduction ### Figure 2: The experiment is build with the commands ```bash mkdir build cd build cmake -DCMAKE_BUILD_TYPE=Release .. cd src make CavitySolution_Prototype ``` The experiment is executed with the commands ```bash ./CavitySolution_Prototype ``` The experiment produces a tabular file `error.txt` with the results and a folder structure with additional run artifacts. The plot is generated with ```bash python3 ../../python/CavityPlots.py error.txt ``` The output file `cavity_error_plot.pdf` is produced. ### Figure 4: The experiment is build with the commands ```bash mkdir build cd build cmake -DCMAKE_BUILD_TYPE=Release .. cd src make ReferenceSolution_Prototype ``` The experiment is executed with the commands ``` mkdir artifacts cd artifacts ../ReferenceSolution_Prototype ../../../src/config.json cd .. ../../python/postprocess.py artifacts/ ``` The experiment produces a tabular file `error.txt` with the results. The plots are generated with ```bash python3 ../../python/ReferenceErrorPlots.py error.txt ``` The output files `full_error_deg_1pdf` and `full_error_deg_2.pdf` are produced. **Note that this experiment is computationally very costly and the calculations should be distributed on several high performance computers!** ### Figure 5 The experiment is build with the commands ```bash mkdir build cd build cmake -DCMAKE_BUILD_TYPE=Release .. cd src make PolynomialSolution_Prototype ``` The experiment is executed with the commands ```bash ./PolynomialSolution_Prototype ``` The experiment produces a tabular file `output/error.txt` with the results and a folder structure `output/` with additional run artifacts. The plot is generated with ```bash python3 ../../python/PolynomialErrorPlot.py output/error.txt ``` The output file `polynomial_error_plot.pdf` is produced.
Error analysis of DGTD for linear Maxwell equations with inhomogeneous interface conditions
PRESLHY Experiment series 4.4; Material of the ground: gravel
This data set is locked. An updated version is available at: http://dx.doi.org/10.35097/d0prpzkxqkq2t09y
Data to the Measurement report: Brown carbon aerosol in rural Germany: sources, chemistry, and diurnal variations
This is the databank of satellite vertical profiles of the water vapour, that have participated in SPARC WAVAS assessment, in a harmonized format, WAVAS_SAHAR. All vertically-resolved satellite measurements of the tropospheric and stratospheric water vapour in the time period between 1984 and 2018 are included. The databank consists of water vapour profiles retrieved from each instrument, which are screened for invalid data according to recommendations of instruments’ teams, then transformed into a common unit and interpolated on a common grid. The data versions included are those existing at the moment of WAVAS exercise, hence not always the most recent at the time of publishing.
Water vapour profiles from WAVAS SAtellite component in HARmonized format (WAVAS_SAHAR)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0014, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0014 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Nachdem in einer gymnasialen Population festgestellt wurde, dass die von Cooper vor mehr als 30 Jahren aufgestellten Normative zur Beurteilung der Ausdauerleistungsfähigkeit weiterhin Gültigkeit besitzen, war es interessant zur fragen, ob dieser Befund auch auf die Altersstufen von Grundschülern übertragen werden kann, zumal sich in der Altergruppe die veränderten Lebensbedingungen noch stärker widerspiegeln könnten. Hierzu wurden 428 Schüler einer ländlichen Grundschule dem COOPER-Test unterzogen. Obgleich die mittlere Laufleistung der Jungen und Mädchen unstetig über die gegebenen Altersstufen steigt, konnte für die Jungen eine regressionsanalytisch ermittelte jährliche Steigerung um mehr als das Doppelte im Vergleich zu den Mädchen aufgezeigt werden (ca. 91 m bzw. 42 m pro Lebensjahr). Auch für Schüler der Primarstufe wurde dokumentiert, dass die Ausdauerleistungsfähigkeit, ermittelt im dominant aeroben 12-Minuten Lauftest nach Cooper, durchaus als hoch einzustufen ist. Die von Cooper ermittelten Normative scheinen auch für die 6- bis 10-jährigen Schüler weiterhin gültig zu sein. Verf.-Referat
Revision des COOPER-Tests für die Grundschule
Processed micro-tomographic scan of the ant Santschiella kohli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Codes to generate the numerical examples in the publication "A high-order numerical method for solving non-periodic scattering problems in three-dimensional bi-periodic structure". These codes use the Matlab programming language.
A high-order numerical method for solving non-periodic scattering problems in three-dimensional bi-periodic structure - Codes
Institut für Thermische Strömungsmaschinen (ITS), Karlsruher Institut für Technologie (KIT)
The ZIP archive contains the data shown in the figures of the corresponding publication, sorted by figure name and with one folder per image. All data is provided as ASCII files.
Spatio-temporal characterization of the three-dimensional wave dynamics in falling film flows over rectangular corrugations
The POOL-facility was controlled via a computer that was located in a tent in a distance of approx. 10 m behind the wall with the BOS-background pattern, but after the initiation of an experiment this computer was controlled remotely from a shelter in a distance of approx. 100 m to the facility The control computer was also used to display and save all sensor records (temperatures, H2-concentrations, ambient wind conditions) with a measuring frequency of 10 Hz via LabView. The POOL-facility itself mainly consists of a stainless-steel box (dimensions 0.5 x 0.5 x 0.2 m³) that is filled up to half the height (0.1 m) with different substrates that can be found in, or are feasible for various real LH2-applications. The substrates used in the tests were concrete, sand, water and gravel, with the concrete pool being prepared already more than 1 month prior to the first experiment to allow sufficient hardening and drying. Three boxes were fabricated for the experiments, so one of these boxes had to be used for the experiments with two substrates (water and gravel, gravel was kept in separate box when not used, so in all experiments with gravel the same stones were used as substrate). For thermal protection the outside of the boxes was insulated by Styrofoam plates on its ground face and the sides. Inside the substrate layer 8 thermocouples were positioned via holders prior to the filling of the box with the respective substrate. The substrate filled box was then positioned on a scale on a table and the super insulated hose from the LH2-trailer was then fixed to a rack on the top of the table that positioned its open end above the box.
In the frame WP3.4 of the PRESLHY project 10 experiments on LH2-pool formation above different substrates have been performed with the POOL-facility on a free field-test site located a few kilometers to the north of KIT Campus North. Substrates to be investigated comprised concrete, sand, water and gravel. Four of the experiments were made with artificial side wind of known direction and known velocity to investigate the influence of side wind on the formation and evaporation of the LH2-pools.
Processed micro-tomographic scan of the ant Dolichoderus bidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy" The data contains following file types: *.ang are electron backscatter diffraction datasets in ASCII format *.tif and *.jpg are raw images/micrographs from the manuscript in unedited form *.dat are data from graphs in the manuscript provided in ASCII format with header information about the data Temperatures are provided in °C. Stresses are given in MPa. Strains are given in 1 or % depending on context. Durations are provided in h. Strain/creep rates are provided in 1/s. Phase fractions are provided in vol%.
Data from the revised version of "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy"
The data are in netCDF format. All data has been postprocessed and only contains the mean values over a smaller region ~15km surrounding the ship. Files follow the format <GRID>_<DATE>_<comment>.nc Please see Table 1 in the paper for the description of the simulations performed. Each 2-moment run has accumulated process rates associated with the simulation named <GRID>_<DATE>_<comment>_process_rates.nc.
This archive contains research data presented in the manuscript "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes" with DOI: 10.5194/egusphere-2024-2988 Content: Simulations September 01 - September 02 2020; GRID R3B8; 6km grid spacing, run with 1moment microphysics initialised at 00UTC on the 01-09-2020 using ICON Global 13km -R3B8_0109_0309.nc GRID: R3B10; 2-moment 1.6km grid spacing initialised at 04UTC - Reference run; R3B10_0109_0209_orig.nc : with Hande et al (2015,2016) CCN and INP parameterisations Sensitivity Studies: - R3B10_0109_0209_INP.nc : implemented INP polynomial at warm temperatures in immersion freezing and scaled down immersion, rain freeze and depositional freezing at cold temperatures - R3B10_0109_0209_pr1L.nc : for prescribed 1 per L GRID: R3B12; 2-moment 400m grid spacing - R3B12_0109_0209.nc : initialised at 06UTC and nudged by the output from R3B10_0109_0209_pr1L.nc with prescribed 1 per L GRID R3B14; 2-moment 100m grid spacing - R3B14_0109_0209.nc : initialised at 08UTC and nudged by R3B12_0109_0209.nc with prescribed 1 per L Simulations September 03 - September 04 2020; GRID R3B8; run with 1moment microphysics initialised at 00UTC on 03-09-2020 - R3B8_0309_0409.nc GRID R3B10;2-moment 1.6km grid spacing initialised at 04UTC - Reference run: R3B10_0309_0409_orig.nc Primary Ice Sensitivity Studies: - R3B10_0309_0409_INP.nc : implemented INP polynomial at warm temperatures in immersion freezing and scaled down immersion, rain freeze and depositional freezing at cold temperatures - R3B10_0309_0409_INPx1E4.nc : same as above but scaled by 10000 - R3B10_0309_0409_INPx1E6.nc : same as above but scaled by 1E6 - R3B10_0309_0409_pr1L.nc : prescribed 1 per L at warm temperatures Cloud Droplet Sensitivity: - R3B10_0309_0409_pr1L_CCN.nc : prescribed ice at warm temperatures plus a CCN scaling Secondary Ice Sensitivity: - R3B10_0309_0409_orig_SIP.nc : original primary ice nucleation with SIP implementation with droplet shattering and break-up collision added on top of the reference rime-splintering. Collisional break-up is parameterised by Takahashi - R3B10_0309_0409_INP_SIP.nc : new immersion freezing parameterisation with SIP as above - R3B10_0309_0409_INP_SIP_BR_scaled.nc : new immersion freezing parameterisation and SIP with a scaled down breakup (SIP) parameterisation - R3B10_0309_0409_INP_CCN_SIP_BR_scaled.nc : new immersion freezing parameterisation with scaled down CCN concentration and SIP with a scaled down breakup (SIP) parameterisation - R3B10_0309_0409_pr1L_SIP.nc GRID R3B12; 2-moment 400m grid spacing - R3B12_0309_0409.nc : initialised 06UTC and nudged by simulation with prescribed 1 per L (R3B10_0309_0409_pr1L) GRID R3B14; 2-moment 100m grid spacing - R3B14_0309_0409.nc: initialised at 08UTC and nudged by R3B12_0309_0409 with prescribed 1 per L
This archive contains research data presented in the manuscript "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes" with DOI: 10.5194/egusphere-2024-2988. In this study, the microphysical sensitivity of Arctic mixed-phase multilayer clouds are examined via two case studies observed during the MOSAiC campaign in September 2020. Sensitivity simulations on cloud droplet activation, primary ice, and secondary ice processes were performed. The ICON model is used to model these clouds and observational data from the MOSAiC campaign is used to constrain and evaluate the model.
Research data for "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes"
The data set contains (1) model data, (2) the corresponding model grid, and (3) the result of a statistical analysis. The model data consist of mean values of an ensemble of 80 members in total. Of these, 40 simulations belong to the reference experiment and 40 simulations belong to the snow-darkening experiment. Variables with the addition "diff" show the mean difference between the simulations of the two experiments. The statistical data is the result of the Wilcoxon signed-rank test at t176.
ICON-ART Data: Mineral Dust on Snow in Eurasia During a Severe Deposition Event in March 2018 (ensemble mean values and statistics)
Overview of the folder structure: -------------------------------- - These folders contain the actual optical images we took and that are the basis of our image cross-correlation (nomenclature is as in the paper): Sample1 - Copper Sample2 - Gold grains Sample3 - Array 1 Sample4 - Array 1 coated Sample5 - Array 2 coated Computer generated data each of these folders contains two subfolders 'drift' and 'step' containing the data referring to the drift measurement and the step-function measurement depicted in Fig.5 of the paper. The folder 'Comuter generated data' additionally contains a folder 'supplementary figureS1 data', which contains the data for said figure. The specific parameters are mentioned in the folder name (see numbers behind 'sig_x' and 'amplitude') - These folders contain the matlab scripts needed to perform the image cross-correlation and create the computer generated data. Matlab scripts Digital Image Correlation - These folders contain .stl files of the printed marker arrays Fabrication
Atomic scale displacements detected by optical image cross-correlation analysis and 3D printed marker arrays
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is one reference measurement with 1000 ppm NO + O2 in He at 200 °C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: NO + O2 @ 200°C dataset
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V3 (videos)
Institut für Hochfrequenztechnik und Elektronik (IHE), Karlsruher Institut für Technologie (KIT)
The data set contains 2479 recordings from 25 individuals performing 7 different gestures and zero-class measurements. It is split into two parts. The first part (924 recordings from 22 participants) contains recordings of 7 gestures. The second part (1555 recordings from 4 participants) includes 5 gestures and additional zero-class measurements with no or random movement to be distinguished from actual gestures. Each recording has a unique designation with an underscored separation between its attributes. The available attributes contain information about the gesture, measurement setup, and personal information about the individual performing the gesture. All gestures were captured using a BGT60TR13C radar sensor by Infineon.
A broad and flexible data set for radar-based gesture recognition of 7 gestures using a fast chirp frequency-modulated continuous wave (FC-FMCW) radar is made available. A legend containing information about the provided data set and its recordings to enable informed usage by third parties is provided alongside.
A Flexible Data Set for Radar-based Gesture Recognition with an FC-FMCW Radar
The data set comprises ozone data of the Earth's middle atmosphere region for the years 2005-2012 as derived from the middle atmosphere (O3_561), upper atmosphere (O3_661), and noctilucent cloud (O3_761) measurement modes mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
MIPAS ozone retrieval version 8: middle atmosphere measurements; the data set
Processed micro-tomographic scan of the ant Pheidole indica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica exsectoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
PRESLHY Experiment series 5.3; block ratio: 30%; initial temperature: approx. 80K (cold)
Diagnose motorischer Leistungsfähigkeit - Entwicklung und Evaluation eines sportmotorischen Fitnesstests für die Bundeswehr
DAMAST-KIT-4: Geophysical Borehole Logging Data
Processed micro-tomographic scan of the ant Stigmatomma okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Porosity Matters: Exploring its Impact on the Unlubricated Tribological Behavior of Copper
Processed micro-tomographic scan of the ant Nylanderia bourbonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax indra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Aus den Infrarotspektren der Jahre 2002-2012 des Satelliteninstrumentes MIPAS wurde die räumliche und zeitliche Verteilung von SF6 berechnet. Daraus wurden zonale Monatsmittelwerte des Luftalters (Age of Air) in 30 jeweils 6 Grad umfassenden Breitenbereichen bestimmt. Die Berechnung des Luftalters ist beschrieben in Haenel et al. (2015) [https://doi.org/10.5194/acp-15-13161-2015], die SF6-Daten für den vorliegenden Datensatz (Versionen V5H_SF6_21 und V5R_SF6_224/225) wurden jedoch berechnet mit den neueren Spektroskopiedaten für SF6 und CFC-11 von J.J.Harrison (2018,2020) [https://doi.org/10.5194/amt-11-5827-2018, https://doi.org/10.1016/j.jqsrt.2020.107202].
The data is delivered as one netCDF file. This file contains the zonal monthly mean AoA data, statistical information wrt the averaging process, spatial and temporal coordinates, and some additional information.
From mid-infrared spectra, measured in 2002-2012 by the satellite-borne instrument MIPAS, the spatial and temporal distribution of SF6 was calculated. This data was converted to zonal monthly means of age of air in 30 latitude bins of 6 degree width each. The calculation of the age of air is described in Haenel et al. (2015) [https://doi.org/10.5194/acp-15-13161-2015], however, the SF6 data used for the current data set (versions V5H_SF6_21 and V5R_SF6_224/225) were calculated with more recent spectroscopic data for SF6 und CFC-11 by J.J.Harrison (2018,2020) [https://doi.org/10.5194/amt-11-5827-2018, https://doi.org/10.1016/j.jqsrt.2020.107202].
MIPAS monthly zonal mean Age of Air data, based on MIPAS SF6 retrievals, processed at KIT-IMK, Karlsruhe
GIA#1: Geophysical Borehole Logging Data
Flüssigmetalle können als effiziente Wärmeträgerfluide für Anwendungen mit hohen Wärmelasten and mittleren bis hohen Temperaturen eingesetzt werden. Aufgrund ihres niedrigen Schmelzpunktes sind einige Gallium-basierte Legierungen flüssig bei Raumtemperatur und bieten daher vielfältige Einsatzmöglichkeiten in technischen Anwendungen. Für derartige Anwendungen ist die Kenntnis der thermophysikalischen Eigenschaften unerlässlich. In dieser Veröffentlichung werden die spezifischen thermophysikalischen Eigenschaften der nah-eutektischen flüssigen Ga-In-Sn Legierung vorgestellt. Die temperaturabhängige Dichte, die spezifische Wärmekapazität bei konstantem Druck, sowie die Wärmeleitfähigkeit werden experimentell bestimmt.
Thermophysical properties of the near eutectic liquid Ga-In-Sn (gallium (65.9 mass%), indium (20.3 mass%), tin (13.8 mass%)) alloy: - density (293.15 K <= T <= 411.15 K) - specific heat capacity at constant pressure (307.15 K <= T <= 408.15 K) - thermal conductivity (298.15 K <= T <= 403.15 K)
Liquid metals can be used as efficient heat transfer fluids for applications with high heat loads and medium to high temperatures. Due to their low melting points, some Ga-based alloys are liquid at room temperature and offer therefore various usages in technical applications. For designing such equipment, knowledge of thermophysical properties is essential. In this publication, specific thermophysical properties of the near eutectic liquid Ga-In-Sn alloy are presented. The temperature dependent density, the specific heat capacity at constant pressure as well as the thermal conductivity are determined experimentally.
Thermophysical properties of the near eutectic liquid Ga-In-Sn alloy
Research data corresponding to the publication "Light-Sheet 3D Microprinting via Two-Colour Two-Step Absorption". Please refer to the readme files for information on the folders' contents.
Light-Sheet 3D Microprinting via Two-Colour Two-Step Absorption
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** Measurements were collected during the CROSSINN field campaign in the Inn Valley, Austria. The focus of the campaign was located at a mild valley curvature approximately 20 km northeast of Innsbruck. To optimize deployment requirements (power, permits, etc.) as well as to reduce demand for additional KITcube flux towers, all instruments were deployed as close as possible to three pre-existing i-Box flux towers (CS-VF0, CS-SF1, CS-NF27). ### **2. Temporal coverage** 01.08.2019 - 13.10.2019 ### **3. Instrument details and data file structure** Available here are archived directories, corresponding to a particular device (***CHM15k***, ***GRAW***, ***HATPRO2***, ***Mobotix***, and ***Photos***). ***CHM15k*** .zip file contains daily NetCDF files organized into monthly folders. Measurements were collected with the CHM 15k ceilometer (Lufft GmbH) deployed at Kolsass. The ceilometer sampled uncalibrated backscatter profiles in zenith mode. ***GRAW*** .zip file contains final L2 files for each sounding performed during the ten CROSSINN IOPs (Intensive Observation Period), organized into their respective IOP folders. Further details of the setup can be found in two PDFs: - CROSSINN_GRAW_postprocessing_procedures.pdf contains detailed explanations on the steps involved in generating the final L2 files. - CROSSINN_IOP_overview.pdf represents a visualisation of all soundings launched during CROSSINN. ***HATPRO2*** .zip file contains data files from microwave radiometer HATPRO-G4 (Radiometer Physics). Available are data files at various post-processing levels (raw, levels 0, 1, 2), processed with algorithms provided by the University of Cologne (more details can be found here: ftp://gop.meteo.uni-koeln.de/pub/loehnert/mwr_data_flow/). Temperature profiles before 16 August 2019 are not usable due to issues with temperature channels. The stored variables are cloud liquid water content, atmosphere mass content of water vapor, infrared radiometer brightness temperature, air pressure, as well as vertical temperature profiles and vertical absolute humidity profiles. ***Mobotix*** .zip file contains image files created by the MX-S15D visible and infrared camera system (Mobotix AG) deployed at Kolsass. Images are organized into hourly, daily, and monthly folders, respectively. The camera operated in four modes (there is one .zip file for each of the four modes): D10Sky - zenith fish-eye view. D22Land - view towards the north, capturing the i-Box CS-VF0 flux tower, HATPRO2, CHM15k (foreground) and the A12 Autobahn (background). D43Sky - zenith view of the atmosphere (visible) L43SkyThermal - zenith view of the atmosphere (infrared) ***Photos*** .zip file contains two compressed files with an assortment of photos taken by various individuals throughout the campaign, during IOPs, as well as during the deployment/teardown phases. ### **4. Locations** With the exception of the WLS200s-115 (@ Hochhaeuser) and WLS200s-125 (@ Mairbach) Windcube Doppler lidars, all other KITcube instruments were deployed at Kolsass, the headquarter site for the field campaign. All sondes were also launched and tracked from Kolsass. Kolsass - 47.305290°N / 11.622231°E Hochhaeuser - 47.286182°N / 11.631232°E Mairbach - 47.326664°N / 11.608736°E ### **5. Contact** Contact nevio.babic@kit.edu for any questions regarding the data sets. ### **6. References** Haid, M., 2019: marenha/doppler_wind_lidar_toolbox: First release (v1.0.0). Zenodo, doi:10.5281/zenodo.3583083
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - KITcube data sets [CHM 15k, GRAW, HATPRO2, Mobotix, Photos]
# LinearShimDB: A subset of the NMR magnet shimming database ShimDB LinearShimDB is a subset of the NMR magnet shimming database [ShimDB](https://github.com/mobecks/ShimDB) and contains over 9000 instances. Data is acquired on a Spinsolve 80 Carbon spectrometer (Magritek GmbH, Aachen, Germany, www.magritek.com) using a water solution with CuSO4 (5mmol/L). LinearShimDB is part of "Deep Regression with Ensembles enables Fast, First-Order Shimming in low-field NMR" by M. Becker et al. [1]. The acquisition procedure was as follows. The manufacturer's automated shimming technique, based on the downhill simplex method, was used to obtain a reference spectrum of decent quality. Then, all shim values except the three linear shims X, Y and Z were set to zero. The resulting spectrum and corresponding shim settings were used as the reference values. The database parameters were obtained by relative offsets from the reference shim values in a range R with stepsize s, in a grid-like manner. For each combination, the raw FID, acquisition parameters, and the shim values were stored. | Topic | Parameter | Value | |------------------------|------------------|-----------| | Characteristics | Nr. Spectra | 9261 | | | Shim range R | +/- 10000 | | | Step size s | 1000 | | | Shims | X,Y,Z | | Acquisition parameters | Nucleus | 1H | | | Bandwidth | 20kHz | | | Points | 32768 | | | Dwell time | 50us | | | Repetition time | 2000ms | | | Filter | - | | | Phase correction | phi0 | **We strongly encourage researchers to extend ShimDB with their own subsets to stimulate developments. We offer to include raw data or links to your publications into ShimDB.** ## Files format Each folder in LinearShimDB contains the following files: - data.1d -> the raw FID. - shims.par -> Shim values, where only linear shims are non-zero. - acqu.par -> Acquisition parameters. - proc.par -> Processing parameters. The LinearShimDB root folder also contains the reference starting shims (ReferenceShims.par). ## Data loading We deliver a python script ```utils_IO.py``` alongside [ShimDB](https://github.com/mobecks/ShimDB) to easily load the database into numpy array structure using the [nmrglue packages](https://github.com/jjhelmus/nmrglue)[2]. The following python libraries and packages are required: os, numpy, glob, nmrglue (>= v0.9.dev0) # References [1] M. Becker, M. Jouda, A. Kolchinskaya, J. G. Korvink, Deep regression with ensembles enables fast, first-order shimming in low-field NMR, Journal of Magnetic Resonance 2022, 107151, ISSN 1090-7807, https://doi.org/10.1016/j.jmr.2022.107151 [2] J.J. Helmus, C.P. Jaroniec, Nmrglue: An open source Python package for the analysis of multidimensional NMR data, J. Biomol. NMR 2013, 55, 355-367, http://dx.doi.org/10.1007/s10858-013-9718-x
LinearShimDB: A subset of the NMR magnet shimming database ShimDB
Raw data to the dissertation "Advanced TEM Investigations on the Effect of Additives for Reactive Hydride Composites'
These data are related to the results of simulation chamber experiments conducted in the AIDA simulation chamber at KIT with secondary organic aerosol generated by oxidation of beta-pinene as described in the publication by Gong et al., in Atmosperic Chemistry and Physics in 2023 (doi.org/10.5194/egusphere-2023-1425).
Stabilized Criegee intermediates (SCIs) and organic peroxy radicals (RO2) are critical in atmospheric oxidation processes and secondary organic aerosol (SOA) formation. However, the influence of temperature on their corresponding reaction mechanisms in SOA formation is unclear. Through utilizing formic acid as SCIs scavenger and regulating the ratio of hydroperoxyl radials (HO2) to RO2 ([HO2]/[RO2]) from ~0.3 to ~1.9 using different concentrations of CO, the roles of RO2 and SCIs in SOA formation were investigated from 248 K to 298 K, particularly for dimers formation in β-pinene ozonolysis. The SOA yield increased by 21% from 298 K to 273 K, while decreased by 40% from 273 K to 248 K. Both changing [HO2]/[RO2] and scavenging SCIs significantly affect SOA yield and composition. SCIs reactions accounted for more than 40% of dimers and SOA mass formation for all temperatures. Increasing [HO2]/[RO2] inhibited dimers and SOA formation, and this inhibition became larger with decreasing temperature. Compared to low [HO2]/[RO2] (0.30–0.34), the dimers abundance at high [HO2]/[RO2] (1.53–1.88) decreased by about 31% at 298 K and 70% at 248 K. [HO2]/[RO2] has a specific impact on SCIs-controlled dimers at lower temperatures by influencing especially the C9-SCIs reactions with RO2. The dimers formed from C9-SCIs reactions with RO2 were estimated to decrease by 61% at high [HO2]/[RO2] compared to low [HO2]/[RO2] at 248 K. The high reactivity and substantial contribution to SOA of β-pinene-derived SCIs at lower temperatures observed in this study suggest that monoterpene-derived SCIs reactions should be accounted for in describing colder regions of the atmosphere.
Impact of temperature on the role of Criegee intermediates and peroxy radicals in dimers formation from ß-pinene ozonolysis
Tabletop Microplotter - Sample Holder (Vertical Printing Example)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0040, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0040 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Tetramorium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.