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 Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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381 to 390 of 2,679 Results

Hard Negative Captions(Universität Stuttgart) Jul 3, 2024PN 6-5 (II)
PN 6-5 (II)(Universität Stuttgart) Jul 3, 2024PN 6 SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"
Code for training and using the droplet segmentation models Jul 2, 2024 - Spray Segmentation Jose, Basil; Hampp, Fabian, 2024, "Code for training and using the droplet segmentation models", https://doi.org/10.18419/DARUS-4147, DaRUS, V1 This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md.
Dissertation Reiff(Universität Stuttgart) Jul 1, 2024ISW Data Repository
Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies Jun 28, 2024 - Scientific Computing Pollinger, Theresa; Van Craen, Alexander; Offenhäuser, Philipp, 2024, "Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies", https://doi.org/10.18419/DARUS-3707, DaRUS, V1 This data repository contains input and output files for large-scale experiments conducted on the three German national supercomputers HAWK, SuperMUC-NG, and JUWELS. More structure can be seen when switching to "Tree" view below. Then, the files are structured into three folders (`io-benchmark`, `two-systems, `three-systems`), and the outputs were...
Spray Segmentation(Universität Stuttgart) Jun 26, 2024Institute of Combustion Technology for Aerospace Engineering
Institute of Combustion Technology for Aerospace Engineering(Universität Stuttgart) Jun 26, 2024
EHTM Code and Manual Jun 26, 2024 - Extended Hill-Type Muscle Material Model (EHTM) Nölle, Lennart Vincent; Lerge, Patrick; Martynenko, Oleksandr; Wochner, Isabell; Kempter, Fabian; Kleinbach, Christian; Schmitt, Syn; Fehr, Jörg, 2022, "EHTM Code and Manual", https://doi.org/10.18419/DARUS-1144, DaRUS, V3 This Dataset contains the implementation of the four element Extended Hill-type Muscle (EHTM) model with serial damping and eccentric force–velocity relation including Ca2+ dependent activation dynamics and internal methods for physiological muscle control for the finite-element solver LS-DYNA.
POREMAPS 1.0.0: Code, Benchmarks, Applications Jun 21, 2024 - POREMAPS: Code, Benchmarks, Applications Krach, David; Ruf, Matthias; Steeb, Holger, 2024, "POREMAPS 1.0.0: Code, Benchmarks, Applications", https://doi.org/10.18419/DARUS-3676, DaRUS, V1 Initial release 1.0.0 for POREMAPS, PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications according to Krach et al. (2024). POREMAPS is a Finite Difference Method (FDM) -based parallized Stokes flow solver using MPI, specifically designed to process large binarized 3D image datasets of porous media such...
Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data) Jun 21, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences" Bienroth, Denis; Charitakis, Natalie; Jaeger-Honz, Sabrina; Garkov, Dimitar; Elliott, David; Porrello, Enzo R.; Klein, Karsten; Nim, Hieu T.; Schreiber, Falk; Ramialison, Mirana, 2024, "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)", https://doi.org/10.18419/DARUS-4254, DaRUS, V1 Here, we summarise available data and source code regarding the publication "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics". Abstract Spatially resolved transcriptomics (SRT) technologies produce complex, multi-dimensional data sets of gene expression information that can be obtained at subcellular s...

Hard Negative Captions(Universität Stuttgart)

Jul 3, 2024PN 6-5 (II)

PN 6-5 (II)(Universität Stuttgart)

Jul 3, 2024PN 6

SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"

Code for training and using the droplet segmentation models

Jul 2, 2024 - Spray Segmentation

Jose, Basil; Hampp, Fabian, 2024, "Code for training and using the droplet segmentation models", https://doi.org/10.18419/DARUS-4147, DaRUS, V1

This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md.

Dissertation Reiff(Universität Stuttgart)

Jul 1, 2024ISW Data Repository

Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies

Jun 28, 2024 - Scientific Computing

Pollinger, Theresa; Van Craen, Alexander; Offenhäuser, Philipp, 2024, "Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies", https://doi.org/10.18419/DARUS-3707, DaRUS, V1

This data repository contains input and output files for large-scale experiments conducted on the three German national supercomputers HAWK, SuperMUC-NG, and JUWELS. More structure can be seen when switching to "Tree" view below. Then, the files are structured into three folders (`io-benchmark`, `two-systems, `three-systems`), and the outputs were...

Spray Segmentation(Universität Stuttgart)

Jun 26, 2024Institute of Combustion Technology for Aerospace Engineering

Institute of Combustion Technology for Aerospace Engineering(Universität Stuttgart)

Jun 26, 2024

EHTM Code and Manual

Jun 26, 2024 - Extended Hill-Type Muscle Material Model (EHTM)

Nölle, Lennart Vincent; Lerge, Patrick; Martynenko, Oleksandr; Wochner, Isabell; Kempter, Fabian; Kleinbach, Christian; Schmitt, Syn; Fehr, Jörg, 2022, "EHTM Code and Manual", https://doi.org/10.18419/DARUS-1144, DaRUS, V3

This Dataset contains the implementation of the four element Extended Hill-type Muscle (EHTM) model with serial damping and eccentric force–velocity relation including Ca2+ dependent activation dynamics and internal methods for physiological muscle control for the finite-element solver LS-DYNA.

POREMAPS 1.0.0: Code, Benchmarks, Applications

Jun 21, 2024 - POREMAPS: Code, Benchmarks, Applications

Krach, David; Ruf, Matthias; Steeb, Holger, 2024, "POREMAPS 1.0.0: Code, Benchmarks, Applications", https://doi.org/10.18419/DARUS-3676, DaRUS, V1

Initial release 1.0.0 for POREMAPS, PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications according to Krach et al. (2024). POREMAPS is a Finite Difference Method (FDM) -based parallized Stokes flow solver using MPI, specifically designed to process large binarized 3D image datasets of porous media such...

Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)

Jun 21, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"

Bienroth, Denis; Charitakis, Natalie; Jaeger-Honz, Sabrina; Garkov, Dimitar; Elliott, David; Porrello, Enzo R.; Klein, Karsten; Nim, Hieu T.; Schreiber, Falk; Ramialison, Mirana, 2024, "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics (Software and Data)", https://doi.org/10.18419/DARUS-4254, DaRUS, V1

Here, we summarise available data and source code regarding the publication "Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR-Omics". Abstract Spatially resolved transcriptomics (SRT) technologies produce complex, multi-dimensional data sets of gene expression information that can be obtained at subcellular s...

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