131 to 140 of 201 Results
Jun 6, 2023 - Projects without PN Affiliation
Herkert, Robin, 2023, "Replication Code for: Randomized Symplectic Model Order Reduction for Hamiltonian Systems", https://doi.org/10.18419/DARUS-3519, DaRUS, V1
This dataset includes the code to reproduce the results from the paper titled "Randomized Symplectic Model Order Reduction for Hamiltonian Systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where error decay rates and runtimes from the randomized methods and the classical, non-randomi... |
Jun 6, 2023 - Visualisierungsinstitut der Universität Stuttgart
Braun, Matthias; Reina, Guido; Ertl, Thomas, 2023, "Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol", https://doi.org/10.18419/DARUS-3542, DaRUS, V1
MegaMol is an open-source prototyping framework for the interactive visualization of large particle-based data. Its flexible, modular architecture allows it also to serve as development platform for general visualization research. As outlined in the proposal, we planned to improve both the development and the user experience of MegaMol in several w... |
Jun 5, 2023 - Usability and Sustainability of Simulation Software
Schrader, Timo Pierre, 2023, "Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE", https://doi.org/10.18419/DARUS-3404, DaRUS, V1
This dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader). Furthermore, it contains the version of preCICE used throughout this thesis. The thesis revolves around GPU... |
Hirsch, Alexandra; Franke, Max; Koch, Steffen, 2023, "Source code for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"", https://doi.org/10.18419/DARUS-3540, DaRUS, V1
This repository contains the source code related to an OSF pre-registration for an online study. The goal of the study was to evaluate how well participants can determine the geographical direction of an animated map transition. In our between-subject online study, each of three groups is shown map transitions in one map projection: Mercator, azimu... |
May 26, 2023 - Institut für Visualisierung und Interaktive Systeme
Hirsch, Alexandra; Franke, Max; Koch, Steffen, 2023, "Stimulus Data for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"", https://doi.org/10.18419/DARUS-3463, DaRUS, V1
We compare how well participants can determine the geographical direction of an animated map transition. In our between-subject online study, each of three groups is shown map transitions in one map projection: Mercator, azimuthal equidistant projection, or two-point equidistant projection. The distances of the start and end point are varied. Map t... |
May 26, 2023 - Materials Design
Gubaev, Konstantin; Zaverkin, Viktor; Srinivasan, Prashanth; Duff, Andrew; Kästner, Johannes; Grabowski, Blazej, 2023, "Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems", https://doi.org/10.18419/DARUS-3516, DaRUS, V1
Data for the publication "Performance of two complementary machine-learned potentials in modelling chemically complex systems", npj. Comp. Mat. This data set contains the datasets of structures in cfg and npz formats INCAR file which was used for VASP calculations python script for reading npz format These are essentially the 2-, 3-, and 4-componen... |
Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/DARUS-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF]
This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper). The experiments from the accompanying paper (see below) are implemente... |
May 23, 2023 - Institute of Geodesy
Tourian, Mohammad J., 2023, "Data for: Current availability and distribution of Congo basin's freshwater resources", https://doi.org/10.18419/DARUS-3377, DaRUS, V2
The Congo Basin is of global significance for biodiversity and the water and carbon cycles. However, its freshwater availability remains highly unknown. Here, we leverage two decades of satellite and in situ observations to develop a new method that characterizes the relationship between Drainable Water Storage Anomaly (DWSA) and river discharge ac... |
May 15, 2023 - PN 4-7
Baier, Alexandra; Frank, Daniel, 2023, "deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning", https://doi.org/10.18419/DARUS-3455, DaRUS, V1
deepsysid is a system identification toolkit for multistep prediction using deep learning and hybrid methods. The toolkit is easy to use. After you follow the instructions in the README, you will be able to download a dataset, run hyperparameter optimization and identify your best-performing multistep prediction models with just three commands: dee... |
May 15, 2023 - PN 4-7
Baier, Alexandra; Aspandi, Decky; Staab, Steffen, 2023, "Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""", https://doi.org/10.18419/DARUS-3457, DaRUS, V1
This repository contains the necessary scripts to reproduce the results from our paper "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks". See the README file for more information. The most current version of this software is available on Github. |
