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Jun 7, 2024 - ABxM Framework for Agent-based Modeling and Simulation
Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/darus-2994, DaRUS, V2
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 6 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any applicati...
Jun 3, 2024 - Usability and Sustainability of Simulation Software
Chen, Jun; Chourdakis, Gerasimos; Desai, Ishaan; Homs-Pons, Carme; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Davis, Kyle; Jaust, Alexander; Kelm, Mathis; Kotarsky, Niklas; Kschidock, Helena; Mishra, Durganshu; Mühlhäußer, Markus; Schrader, Timo Pierre; Schulte, Miriam; Seitz, Valentin; Signorelli, Joseph; van Zwieten, Gertjan; Vinnitchenko, Niklas; Vladimirova, Tina; Willeke, Leonard; Zonta, Elia, 2024, "preCICE Distribution Version v2404.0", https://doi.org/10.18419/darus-4167, DaRUS, V1
The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archi...
May 27, 2024 - PN 6-4
Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections"", https://doi.org/10.18419/darus-3965, DaRUS, V1
Supplemental material for our paper "Exploring visual quality of multidimensional time series projections": A video demonstrating the interactive use of our exploration system. A table containing publications using dimensionality reduction on multidimensional time series to proje...
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...
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...
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...
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...
Feb 28, 2024 - SFB-TRR 161 D05 "Visual computing for ERP-based brain activity"
Mikheev, Vladimir; Skukies, Rene; Ehinger, Benedikt, 2023, "Supplementary material: "The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices"", https://doi.org/10.18419/darus-3729, DaRUS, V2, UNF:6:+qePfVjlqif+DUSlAZSsrw== [fileUNF]
The purpose related to this dataset is to investigate the state of visualization in ERP (Event-Related Potential) research. The investigation was conducted through an online questionnaire administered via LimeSurvey Community Edition v5.4.7, hosted by the University of Stuttgart....
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...
Feb 16, 2024 - Analytic Computing
Seifer, Philipp; Hernández, Daniel; Lämmel, Ralf; Staab, Steffen, 2024, "Code for From Shapes to Shapes", https://doi.org/10.18419/darus-3977, DaRUS, V1
This dataset contains the implementation code for an algorithm to infer SHACL shapes that the graph returned by an SPARQL CONSTRUCT query must satisfy if the input satisfies a given set of SHACL shapes. This dataset also includes an evaluation for the algorithm. The algorithm imp...
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