1 to 10 of 275 Results
Sep 10, 2026 - Usability and Sustainability of Simulation Software
Neubauer, Felix, 2026, "Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach", https://doi.org/10.18419/DARUS-6158, DaRUS, V3, UNF:6:UrN7pGlBgFwIikRGgxB/eQ== [fileUNF]
This dataset accompanies the paper “Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach” and provides source code snapshots, evaluation inputs and outputs, LLM-based conversion annotations, and derived analyses. It includes the Schema Conversion Orchestrator, a Python/Flask service that discover... |
Sep 7, 2026 - Usability and Sustainability of Simulation Software
Chinnikkaramadom Govindan, Giridhar, 2026, "Replication Data for: Bridging SHACL and JSON Schema: Design, Implementation, and Evaluation of Bidirectional Conversions for JSON and JSON-LD Documents", https://doi.org/10.18419/DARUS-5964, DaRUS, V1, UNF:6:0+Q1vgk6IYwV/GGvOjFwZg== [fileUNF]
This dataset contains files, scripts, and documentation for running benchmarks for the library shacl-bridge, created as part of my master thesis "Bridging SHACL and JSON Schema: Design, Implementation, and Evaluation of Bidirectional Conversions for JSON and JSON-LD Documents". For instructions to run the benchmark, see the README.md of the dataset... |
Sep 4, 2026 - Coarse-grained non-equilibrium dynamics with generative machine learning
Egenlauf, Patrick; Kröninger, Hannes A.; Kung, Arnulf; Gaimann, Mario U.; Klopotek, Miriam, 2026, "Replication Data for: Entropy production of active matter systems as indicator for computing performance", https://doi.org/10.18419/DARUS-6343, DaRUS, V1
This dataset contains all relevant data to reproduce the results of the paper titled "Entropy production of active matter systems as indicator for computing performance". The dataset is organized around three main parameter scans: speed-controller force for the driven system, speed-controller force for the undriven system, and driver repulsion forc... |
Sep 2, 2026 - Usability and Sustainability of Simulation Software
Desai, Ishaan; Uekermann, Benjamin, 2026, "Replication Data for: Two-Scale Heat Conduction with Adaptive Model-Switching on the Micro Scale", https://doi.org/10.18419/DARUS-6424, DaRUS, V1
This dataset contains the case files for the two-scale heat conduction test case with adaptive model-switching on the micro scale that is part of Chapter 6 of the dissertation of Ishaan Desai. |
Aug 17, 2026 - PN 3-11
Pluhackova, Kristyna; Pfaendner, Christian; Unger, Benjamin; Paul, Thilo, 2026, "Supplementary Material for "Which Metrics Best Capture Protein Structural Change in Molecular Dynamics Simulations? Evaluating Score Combinations and Force Field Effects"", https://doi.org/10.18419/DARUS-5853, DaRUS, V1
Simulation parameter files, protein pdb files for crystal structures and final simulation snapshots, Python scripts for FlexE and SphereGrinder, and Jupyter Notebooks to recreate our analyses and publication figures of the paper "Which Metrics Best Capture Protein Structural Change in Molecular Dynamics Simulations? Evaluating Score Combinations an... |
Aug 12, 2026 - PN 6A-3
Schäfer, Moritz; Kellner, Matthias; Kästner, Johannes; Ceriotti, Michele, 2026, "Replication Data for: How to Train a Shallow Ensemble", https://doi.org/10.18419/DARUS-6366, DaRUS, V1
This repository accompanies our paper on "How to Train a Shallow Ensemble". It includes workflows and input files needed to reproduce the results. Most of the experiments are contained in the directory "0_convergence_nll_training". There is a separate directory for the experiments performed for the first revision of the publication and for the repe... |
Aug 11, 2026 - PN 6A-3
Schäfer, Moritz; Kästner, Johannes, 2026, "Replication Data for: Enhanced Representation-Based Sampling for the Efficient Generation of Data Sets for Machine-Learned Interatomic Potentials", https://doi.org/10.18419/DARUS-6365, DaRUS, V1
This repository contains the data for our paper on "Enhanced Representation-Based Sampling for the Efficient Generation of Data Sets for Machine-Learned Interatomic Potentials". This includes both the simulation results as well as workflows and input files needed to recreate the results. Different experiments are contained on different branches, an... |
Aug 11, 2026 - PN 3-11
Pluhackova, Kristyna, 2026, "Supplementary Data to: "Disulfiram inhibits pyroptosis and apoptosis through multiple complementary mechanisms"", https://doi.org/10.18419/DARUS-5538, DaRUS, V1
All-atom molecular dynamics simulations of disulfiram binding to caspase-1 as well as interactions of disulfiram (DSF), diethyldithiocarbamate (DTC), necrosulfonamide (NSA), and dimethylfumarate (DMF) with the E. Coli PLE membrane. |
Schmitt, Syn; Chacon, Pablo; Eppler, Jochen; Günther, Michael; Hammer, Maria; Lerge, Patrick; Riede, Julia; Walter, Johannes; Weinhold, Emelie; Wochner, Isabell, 2026, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/DARUS-2550, DaRUS, V8
For more information, such as installation, requirements and user guide, please see the demoa manual. The development of this package was supported by “Deutsche Forschungsgemeinschaft” (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2075 - 390740016. |
Jul 22, 2026 - Studying Dynamical Systems for Intelligible Modeling and Unconventional Computing
Weinmann, Max; Klopotek, Miriam, 2026, "Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model", https://doi.org/10.18419/DARUS-6128, DaRUS, V1
This dataset contains all relevant data to reproduce the results of the paper titled "Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model" and supplementary figures. "code.tar.xz" contains the code to generate the datasets and model checkpoints used in the analysis. Information on the code incl... |
