111 to 120 of 131 Results
Sep 6, 2022 - Subarea B5
Gärtner, Jan Wilhelm, 2022, "DG Data Sets of Bubble Growth in Flashing Jets", https://doi.org/10.18419/DARUS-2828, DaRUS, V1
Initial Discontinuous Galerkin (DG) data sets of flashing bubble growth of a jet slice and jet tip configuration. Cases and results can also be found in: D. Dietzel, "Modeling and simulation of flash-boiling of cryogenic liquids", PhD Thesis, University of Stuttgart, 2020. doi: 10.18419/opus-10974 D. Dietzel, T. Hitz, C.-D. Munz, and A. Kronenburg,... |
Aug 24, 2022 - PN 6
Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]", https://doi.org/10.18419/DARUS-3110, DaRUS, V1
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Active Learning problems. The code is also available on GitHub. Informat... |
Jeltsch, Albert; Schnee, Philipp; Pleiss, Jürgen, 2022, "Additional data related to Schnee et al.: Mechanistic basis of the increased methylation activity of the SETD2 protein lysine methyltransferase towards a designed super-substrate peptide", https://doi.org/10.18419/DARUS-2508, DaRUS, V2
This data collection contains additional data related to Schnee et al.: Mechanistic basis of the increased methylation activity of the SETD2 protein lysine methyltransferase towards a designed super-substrate peptide. This includes MD simulations code and analysis scripts. The usage of these Phyton scripts is further explained in the enclosed readm... |
Aug 9, 2022 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Abdelaal, Moataz; Schiele, Nathan Daniel; Angerbauer, Katrin; Kurzhals, Kuno; Sedlmair, Michael; Weiskopf, Daniel, 2022, "Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations", https://doi.org/10.18419/DARUS-3100, DaRUS, V1
The supplemental materials of the paper titled Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, which was accepted for presentation at IEEE VIS 2022 conference. The structure of the folder is as follows:
.
└── code
|── NetworkGeneration # the R code to generate the network data
|── NetworkVis... |
Jul 20, 2022 - SFB 1333 C6 - Holm group, ICP
Tischler, Ingo; Holm, Christian; Weeber, Rudolf; Kuron, Michael; Weik, Florian; Kaufmann, Robert, 2022, "Replication data of C6 group for: "A thermalized electrokinetics model including stochastic reactions suitable for multiscale simulations of reaction-advection-diffusion systems"", https://doi.org/10.18419/DARUS-2258, DaRUS, V1
All primary data files of measurements and processed data of the journal article mentioned under related publications from C6 group can be found here. The data is structured according to figures and schemes in the research article and contains the following data types: text files, .ipynb (jupyter notebooks), .py (python files) |
Wang, Yao; Bulling, Andreas, 2022, "Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"", https://doi.org/10.18419/DARUS-2826, DaRUS, V1, UNF:6:AuvgRc09o1rESd63AqlW9Q== [fileUNF]
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantitatively so far. We propose a question-answering paradigm to study visualisation recallability and present VisRecall -- a novel dataset consisting of 200 information visual... |
Apr 21, 2022 - Usability and Sustainability of Simulation Software
Chourdakis, Gerasimos; Davis, Kyle; Desai, Ishaan; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Firmbach, Max; Jaust, Alexander; Lorenz, Christopher; Martin, Boris; Olesen, Mark; Ziya Koseomur, Oguz, 2022, "preCICE Distribution Version v2202.0", https://doi.org/10.18419/DARUS-2613, 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 archive this specific version v2202.0 of the distribution and make it citab... |
Apr 13, 2022 - PN 6
Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]", https://doi.org/10.18419/DARUS-2615, DaRUS, V1
This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Active Learning problems. The code is also available on GitHub. Information on the code can be found... |
Feb 1, 2022 - MD Simulations
Jeltsch, Albert; Schnee, Philipp; Pleiss, Jürgen, 2022, "Python scripts related to MD simulations in "Preferential interaction of DNMT3A subunits containing the R882H cancer mutation leads to dominant changes of flanking sequence effects"", https://doi.org/10.18419/DARUS-2463, DaRUS, V1
Python scripts used for the Molecular Dynamics Simulation presented in "Preferential interaction of DNMT3A subunits containing the R882H cancer mutation leads to dominant changes of flanking sequence effects" |
Landsgesell, Jonas; Beyer, David; Hebbeker, Pascal; Košovan, Peter; Holm, Christian, 2022, "Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution", https://doi.org/10.18419/DARUS-2237, DaRUS, V1, UNF:6:WWoVw/rOePmKZuTyIQul0A== [fileUNF]
Electronic supporting information, simulation scripts, simulation data and plotting scripts for the paper "The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution". In this work, we investigate the swelling properties of weak (pH-responsive) polyelectrolyte gels at various pH and salt concentrations, us... |
