DaRUS

Metrics

1,167,261 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Subject: Computer and Information Science Author Affiliation: University of Stuttgart Funding Information Agency: European Commission

1 to 8 of 8 Results

GALÆXI Verification: Convergence Tests May 3, 2024 - Supplementary Data: GALÆXI Paper Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Verification: Convergence Tests", https://doi.org/10.18419/darus-4155, DaRUS, V1, UNF:6:vL1WFzY+Nmd1P5y9jFLWLg== [fileUNF] This Dataset contains the setup and the results of the convergence tests which are reported in the GALÆXI Paper (Section 5.1). The results are contained in the file results.txt. The used case is based on the method of manufactured solution. The detailed formulation is specified i...
GALÆXI Validation: Taylor-Green Vortex May 3, 2024 - Supplementary Data: GALÆXI Paper Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Validation: Taylor-Green Vortex", https://doi.org/10.18419/darus-4139, DaRUS, V1, UNF:6:Q71FGjHTEHnKVAq/VkFpXA== [fileUNF] This Dataset contains the test case definition and reference data for the Taylor-Green Vortex (TGV) test case which builds the validation test case in the GALÆXI Paper (Section 5). Incompressible TGV (Ma=0.1) according to (Link): J. DeBonis, Solutions of the Taylor–Green vortex p...
GALÆXI Scaling May 3, 2024 - Supplementary Data: GALÆXI Paper Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Scaling", https://doi.org/10.18419/darus-4140, DaRUS, V1, UNF:6:q8ZbcGhBxtm6VlmuTlqskA== [fileUNF] This Dataset contains the results of the scaling test cases of the GALÆXI Paper (Section 4). The scaling behavior is evaluated using simulations with resolutions ranging from 16384 up to 8.6x109 degrees of freedom using up to 1024 GPUs on JUWELS booster. The provided results cont...
GALÆXI Application: NASA Rotor 37 May 3, 2024 - Supplementary Data: GALÆXI Paper Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Application: NASA Rotor 37", https://doi.org/10.18419/darus-4138, DaRUS, V1 This Dataset contains the setup data for the NASA Rotor 37 test case which corresponds to the application section in the GALÆXI Paper (Section 6). Reference (Link): L. Reid, R. D. Moore, Design and overall performance of four highly loaded, high speed inlet stages for an advanced...
Code and benchmark for NPCS, a Native Provenance Computation for SPARQL Feb 21, 2024 - Analytic Computing Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/darus-3973, DaRUS, V1 Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenanc...
Postprocessing Code for 'Falling Heads': investigating reflexive responses to head-neck perturbations Apr 1, 2022 - Falling Heads Wochner, Isabell; Schmitt, Syn, 2022, "Postprocessing Code for 'Falling Heads': investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/darus-2526, DaRUS, V1 This dataset contains the code necessary to postprocess the experimental trajectory data of the Falling Heads experiment and perform the inverse dynamics analysis as described in the paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell...
Neck muscle data for Falling Heads: investigating reflexive responses to head-neck perturbations Apr 1, 2022 - Falling Heads Wochner, Isabell; Schmitt, Syn, 2022, "Neck muscle data for Falling Heads: investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/darus-1145, DaRUS, V1, UNF:6:x9+WHb9RUaJfQ9jJiNEQJw== [fileUNF] This dataset contains the neck muscle parameters for the user-defined Extended Hill Type Muscle Material as used in the publication paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell Wochner, Lennart V. Nölle, Oleksandr V. Martynenko...
Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake Jul 6, 2021 - RootWaterUptake Koch, Timo; Wu, Hanchuan; Schneider, Martin, 2021, "Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake", https://doi.org/10.18419/darus-2042, DaRUS, V1 This dataset contains scripts and data used to reproduce the results in the related publication (Koch et al. 2021). In detail, it contains data and scripts to show the effect of the Kirchhoff transformation for diffusion coefficients; convergence results for single and mutiple tu...

GALÆXI Verification: Convergence Tests

May 3, 2024 - Supplementary Data: GALÆXI Paper

Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Verification: Convergence Tests", https://doi.org/10.18419/darus-4155, DaRUS, V1, UNF:6:vL1WFzY+Nmd1P5y9jFLWLg== [fileUNF]

This Dataset contains the setup and the results of the convergence tests which are reported in the GALÆXI Paper (Section 5.1). The results are contained in the file results.txt. The used case is based on the method of manufactured solution. The detailed formulation is specified i...

GALÆXI Validation: Taylor-Green Vortex

May 3, 2024 - Supplementary Data: GALÆXI Paper

Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Validation: Taylor-Green Vortex", https://doi.org/10.18419/darus-4139, DaRUS, V1, UNF:6:Q71FGjHTEHnKVAq/VkFpXA== [fileUNF]

This Dataset contains the test case definition and reference data for the Taylor-Green Vortex (TGV) test case which builds the validation test case in the GALÆXI Paper (Section 5). Incompressible TGV (Ma=0.1) according to (Link): J. DeBonis, Solutions of the Taylor–Green vortex p...

GALÆXI Scaling

May 3, 2024 - Supplementary Data: GALÆXI Paper

Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Scaling", https://doi.org/10.18419/darus-4140, DaRUS, V1, UNF:6:q8ZbcGhBxtm6VlmuTlqskA== [fileUNF]

This Dataset contains the results of the scaling test cases of the GALÆXI Paper (Section 4). The scaling behavior is evaluated using simulations with resolutions ranging from 16384 up to 8.6x109 degrees of freedom using up to 1024 GPUs on JUWELS booster. The provided results cont...

GALÆXI Application: NASA Rotor 37

May 3, 2024 - Supplementary Data: GALÆXI Paper

Kurz, Marius; Kempf, Daniel; Blind, Marcel P.; Kopper, Patrick; Offenhäuser, Philipp; Schwarz, Anna; Starr, Spencer; Keim, Jens; Beck, Andrea, 2024, "GALÆXI Application: NASA Rotor 37", https://doi.org/10.18419/darus-4138, DaRUS, V1

This Dataset contains the setup data for the NASA Rotor 37 test case which corresponds to the application section in the GALÆXI Paper (Section 6). Reference (Link): L. Reid, R. D. Moore, Design and overall performance of four highly loaded, high speed inlet stages for an advanced...

Code and benchmark for NPCS, a Native Provenance Computation for SPARQL

Feb 21, 2024 - Analytic Computing

Asma, Zubaria; Hernández, Daniel; Galárraga, Luis; Flouris, Giorgos; Fundulaki, Irini; Hose, Katja, 2024, "Code and benchmark for NPCS, a Native Provenance Computation for SPARQL", https://doi.org/10.18419/darus-3973, DaRUS, V1

Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenanc...

Postprocessing Code for 'Falling Heads': investigating reflexive responses to head-neck perturbations

Apr 1, 2022 - Falling Heads

Wochner, Isabell; Schmitt, Syn, 2022, "Postprocessing Code for 'Falling Heads': investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/darus-2526, DaRUS, V1

This dataset contains the code necessary to postprocess the experimental trajectory data of the Falling Heads experiment and perform the inverse dynamics analysis as described in the paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell...

Neck muscle data for Falling Heads: investigating reflexive responses to head-neck perturbations

Apr 1, 2022 - Falling Heads

Wochner, Isabell; Schmitt, Syn, 2022, "Neck muscle data for Falling Heads: investigating reflexive responses to head-neck perturbations", https://doi.org/10.18419/darus-1145, DaRUS, V1, UNF:6:x9+WHb9RUaJfQ9jJiNEQJw== [fileUNF]

This dataset contains the neck muscle parameters for the user-defined Extended Hill Type Muscle Material as used in the publication paper "’Falling Heads’: investigating reflexive responses to head-neck perturbations" by Isabell Wochner, Lennart V. Nölle, Oleksandr V. Martynenko...

Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake

Jul 6, 2021 - RootWaterUptake

Koch, Timo; Wu, Hanchuan; Schneider, Martin, 2021, "Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake", https://doi.org/10.18419/darus-2042, DaRUS, V1

This dataset contains scripts and data used to reproduce the results in the related publication (Koch et al. 2021). In detail, it contains data and scripts to show the effect of the Kirchhoff transformation for diffusion coefficients; convergence results for single and mutiple tu...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications