1 to 10 of 82 Results
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 29, 2024 - Institute of Applied Analysis and Numerical Simulation
Kemlin, Gaspard; Carvalho Corso, Thiago; Stamm, Benjamin; Melcher, Christof, 2024, "Replication Data for: "Numerical simulation of the Gross-Pitaevskii equation via vortex tracking"", https://doi.org/10.18419/darus-4229, DaRUS, V1
Data for reproducibility of the numerical simulations of the research paper "Numerical simulation of the Gross-Pitaevskii equation via vortex tracking". The .zip file contains everything needed to generate the plots shown in the paper, as well as the code to run your own simulati... |
May 22, 2024 - Projects without PN Affiliation
Herkert, Robin, 2024, "Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems", https://doi.org/10.18419/darus-4185, DaRUS, V1
This dataset includes the code to reproduce the results from the paper titled "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where e... |
Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Image processing code for characterization of multiphase flow in porous media", https://doi.org/10.18419/darus-4153, DaRUS, V1
This work utilizes microfluidic experiments to gather data captured as snapshots during the experiments. These snapshots provide real-time information and undergo image processing to derive the required data. Image processing involves several steps tailored to the investigations:... |
Apr 8, 2024 - Mathematical modeling and simulation of cellular systems
Höpfl, Sebastian, 2024, "Bayesian Modeling of Time Series Data (BayModTS)", https://doi.org/10.18419/darus-3876, DaRUS, V1
BayModTS is a FAIR workflow for processing highly variable and sparse data. The code and results of the examples in the BayModTS paper are stored in this repository. A maintained version of BayModTS that can be applied to your personal applications can be found on Git Hub. |
Mar 25, 2024 - Geostatistical Inversion
Xu, Teng, 2024, "Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data", https://doi.org/10.18419/darus-2382, DaRUS, V1, UNF:6:vW5NY5+W7Wy1GtNndUOs3Q== [fileUNF]
Description: Dataset published with the paper "Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison". You can use these data to generate the comparisons betwe... |
Mar 19, 2024 - Institute for Stochastics and Applications
Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1
This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material).... |
Mar 14, 2024 - PN 6A-4
Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/darus-4087, DaRUS, V1
Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\
│ ├── plots\
├... |
Mar 11, 2024 - Institute for Theoretical Physics IV
Speck, Thomas; Papanikolaou, Nikos, 2024, "Supplementary material for `Dynamic renormalization of scalar active field theories`", https://doi.org/10.18419/darus-4073, DaRUS, V1
The following folders have Jupyter notebook files that are used to obtain the results we present in Section I.1, I.2, III.B, III.C, IV.A and IV.B and Appendix C and D and Figures 9, 10, 11, 13. To calculate the graphical corrections we extensively use the Python package ``restflo... |
Feb 26, 2024 - Institute of Applied Analysis and Numerical Simulation
Nottoli, Michele; Herbst, Michael F.; Mikhalev, Aleksandr; Jha, Abhinav; Lipparini, Filippo; Stamm, Benjamin, 2024, "Replication Data for: "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins"", https://doi.org/10.18419/darus-4030, DaRUS, V1
Data for reproducibility of the numerical simulations of the research paper "ddX: Polarizable Continuum Solvation from Small Molecules to Proteins". |
