DaRUS

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This is the Data Repository of the University of Stuttgart.

SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SFB 1333 "Molecular heterogeneous catalysis in confined geometries"

Institute of Biochemistry

Institute of Applied Mechanics (MIB)

Institute of Thermodynamics and Thermal Process Engineering

Stuttgart Center for Simulation Science (SC SimTech)

Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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711 to 720 of 3,489 Results

Training dataset for AI-supported subject indexing of research data with DFG classification Nov 5, 2025 - FoKUS - Research Data Management at the University of Stuttgart Weinspach, Karoline, 2025, "Training dataset for AI-supported subject indexing of research data with DFG classification", https://doi.org/10.18419/DARUS-5500, DaRUS, V1 This is a structured JSON dataset for training and evaluating AI models for automated subject indexing of research data and linking of research data and publications. It was created for the project DA-FDM in order to train a vector based model to give automated suggestions for the topic classification of research datasets in DaRUS. In the context o...
Socially Intelligent Robotics Lab(Universität Stuttgart) Nov 3, 2025Institute for Artificial Intelligence
Replication Data for: A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix Nov 3, 2025 - Institute of Applied Analysis and Numerical Simulation Zhang, Liwei; Mazzeo, Patrizia; Nottoli, Michele; Cignoni, Edoardo; Cupellini, Lorenzo; Stamm, Benjamin, 2025, "Replication Data for: A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix", https://doi.org/10.18419/DARUS-4902, DaRUS, V2 This archive for reproducibility contains the datasets used to train the models, a small script to read the datasets, and the finest model. More information can be found in the README.md.
Code for training and using the soot (instance) segmentation models Oct 31, 2025 - Soot segmentation Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Code for training and using the soot (instance) segmentation models", https://doi.org/10.18419/DARUS-5184, DaRUS, V2 This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the corresponding paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. T...
Replication Data for: Large-Area Hydrogenated Amorphous Silicon Schottky-Photosensor Arrays for Display Integration Oct 31, 2025 - Schottky diode array (Kepler project) Dettling, Marco Michael; Schellander, Yannick; Schalberger, Patrick; Fruehauf, Norbert, 2025, "Replication Data for: Large-Area Hydrogenated Amorphous Silicon Schottky-Photosensor Arrays for Display Integration", https://doi.org/10.18419/DARUS-5128, DaRUS, V1 This dataset includes all raw data and evaluation scripts for the data contained in the paper "Large-Area Hydrogenated Amorphous Silicon Schottky-Photosensor Arrays for Display Integration" submitted to JSID. The repository data structure aligns with the figures contained in the paper. Each folder contains raw data and a python script for generatin...
Jose et al. MLST 2025 Soot detection(Universität Stuttgart) Oct 30, 2025Institute of Combustion Technology for Aerospace Engineering This dataverse hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025.
Replication Data for: Lattice distortions and non-sluggish diffusion in BCC refractory high entropy alloys Oct 30, 2025 - Materials Design Zhang, Xi; Xiang Xu; Körmann, Fritz; Divinski, Sergiy; Grabowski, Blazej, 2025, "Replication Data for: Lattice distortions and non-sluggish diffusion in BCC refractory high entropy alloys", https://doi.org/10.18419/DARUS-5507, DaRUS, V1 The original experiment and simulation data for reproducing the key results in the publication "Lattice distortions and non-sluggish diffusion in BCC refractory high entropy alloys" (Acta Materialia 297 (2025) 121283)
Non-invasive imaging of solute redistribution below evaporating surfaces using 23-Na-MRI(Universität Stuttgart) Oct 30, 2025C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media
micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 500°C Oct 30, 2025 - Publication: Crystalline rocks Ruf, Matthias; Lee, Dongwon; Steeb, Holger, 2025, "micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 500°C", https://doi.org/10.18419/DARUS-2977, DaRUS, V1 micro-XRCT data set (projection and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm, which was previously subjected to the following thermal treatment to initiate cracks: Starting at room temperature...
Integration Scripts for DFG Classification for Dataverse-based Repositories Oct 29, 2025 - FoKUS - Research Data Management at the University of Stuttgart Roy, Sarbani; Wang, Fangfang; Weinspach, Karoline, 2025, "Integration Scripts for DFG Classification for Dataverse-based Repositories", https://doi.org/10.18419/DARUS-5428, DaRUS, V1 These scripts integrate the DFG classification from the TIB ontology into Dataverse as an external vocabulary according to the Dataverse Guidelines. get_dfg_class.js: Displays entries from DFG classification in Topic Classification field once user has entered at least three characters. get_dfg_class_with_suggestions.js: Displays entries from DFG cl...

Training dataset for AI-supported subject indexing of research data with DFG classification

Nov 5, 2025 - FoKUS - Research Data Management at the University of Stuttgart

Weinspach, Karoline, 2025, "Training dataset for AI-supported subject indexing of research data with DFG classification", https://doi.org/10.18419/DARUS-5500, DaRUS, V1

This is a structured JSON dataset for training and evaluating AI models for automated subject indexing of research data and linking of research data and publications. It was created for the project DA-FDM in order to train a vector based model to give automated suggestions for the topic classification of research datasets in DaRUS. In the context o...

Socially Intelligent Robotics Lab(Universität Stuttgart)

Nov 3, 2025Institute for Artificial Intelligence

Replication Data for: A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix

Nov 3, 2025 - Institute of Applied Analysis and Numerical Simulation

Zhang, Liwei; Mazzeo, Patrizia; Nottoli, Michele; Cignoni, Edoardo; Cupellini, Lorenzo; Stamm, Benjamin, 2025, "Replication Data for: A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix", https://doi.org/10.18419/DARUS-4902, DaRUS, V2

This archive for reproducibility contains the datasets used to train the models, a small script to read the datasets, and the finest model. More information can be found in the README.md.

Code for training and using the soot (instance) segmentation models

Oct 31, 2025 - Soot segmentation

Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Code for training and using the soot (instance) segmentation models", https://doi.org/10.18419/DARUS-5184, DaRUS, V2

This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the corresponding paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. T...

Replication Data for: Large-Area Hydrogenated Amorphous Silicon Schottky-Photosensor Arrays for Display Integration

Oct 31, 2025 - Schottky diode array (Kepler project)

Dettling, Marco Michael; Schellander, Yannick; Schalberger, Patrick; Fruehauf, Norbert, 2025, "Replication Data for: Large-Area Hydrogenated Amorphous Silicon Schottky-Photosensor Arrays for Display Integration", https://doi.org/10.18419/DARUS-5128, DaRUS, V1

This dataset includes all raw data and evaluation scripts for the data contained in the paper "Large-Area Hydrogenated Amorphous Silicon Schottky-Photosensor Arrays for Display Integration" submitted to JSID. The repository data structure aligns with the figures contained in the paper. Each folder contains raw data and a python script for generatin...

Jose et al. MLST 2025 Soot detection(Universität Stuttgart)

Oct 30, 2025Institute of Combustion Technology for Aerospace Engineering

This dataverse hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025.

Replication Data for: Lattice distortions and non-sluggish diffusion in BCC refractory high entropy alloys

Oct 30, 2025 - Materials Design

Zhang, Xi; Xiang Xu; Körmann, Fritz; Divinski, Sergiy; Grabowski, Blazej, 2025, "Replication Data for: Lattice distortions and non-sluggish diffusion in BCC refractory high entropy alloys", https://doi.org/10.18419/DARUS-5507, DaRUS, V1

The original experiment and simulation data for reproducing the key results in the publication "Lattice distortions and non-sluggish diffusion in BCC refractory high entropy alloys" (Acta Materialia 297 (2025) 121283)

Non-invasive imaging of solute redistribution below evaporating surfaces using 23-Na-MRI(Universität Stuttgart)

Oct 30, 2025C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media

micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 500°C

Oct 30, 2025 - Publication: Crystalline rocks

Ruf, Matthias; Lee, Dongwon; Steeb, Holger, 2025, "micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 500°C", https://doi.org/10.18419/DARUS-2977, DaRUS, V1

micro-XRCT data set (projection and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm, which was previously subjected to the following thermal treatment to initiate cracks: Starting at room temperature...

Integration Scripts for DFG Classification for Dataverse-based Repositories

Oct 29, 2025 - FoKUS - Research Data Management at the University of Stuttgart

Roy, Sarbani; Wang, Fangfang; Weinspach, Karoline, 2025, "Integration Scripts for DFG Classification for Dataverse-based Repositories", https://doi.org/10.18419/DARUS-5428, DaRUS, V1

These scripts integrate the DFG classification from the TIB ontology into Dataverse as an external vocabulary according to the Dataverse Guidelines. get_dfg_class.js: Displays entries from DFG classification in Topic Classification field once user has entered at least three characters. get_dfg_class_with_suggestions.js: Displays entries from DFG cl...

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