81 to 90 of 251 Results
May 27, 2024 - PN 6-4
Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections", https://doi.org/10.18419/DARUS-3553, DaRUS, V1
Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in the visual analysis system. Our project contains the following director... |
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 error bounds for randomized symplectic basis generation techniques are proven. The numerical experiments where error decay rates and runtimes from the randomized methods... |
Apr 23, 2024 - Simulation input scripts to study Transport of Water In Soft confinemenT (TWIST)
Schlaich, Alexander, 2024, "Replication Data for: Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials", https://doi.org/10.18419/DARUS-3966, DaRUS, V1
Simulation input scripts used for "Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials" The folders the corresponding simulation and analysis files to setup the simulation systems (SETUP), perform the GCMC/MD simulations (ISOTHERM), and run the equilibrium and non-equilibrium MD simulations, respec... |
Apr 18, 2024 - PN 4-4
Röder, Benedict; Ebel, Henrik; Eberhard, Peter, 2024, "Motion and Motor-Current Data of a Four-Bar Linkage", https://doi.org/10.18419/DARUS-4152, DaRUS, V1
General A hardware prototype of a four-bar linkage was constructed to generate the presented data set. The data consists of desired input currents supplied to a servo motor and the measured resulting velocities. The mechanism is portrayed in the lab_mechanism_x.jpg images. Further details of the mechanism can be found in the section "Mechanism Setu... |
Apr 18, 2024 - PN 1-X
Keim, Leon; Class, Holger, 2024, "Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/DARUS-4089, DaRUS, V1
This dataset consists of software code associated with the publication titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes a Dockerimage that contains the precompiled code for immediate use. For transparency, the Dockerfile is also provided. 1 Download... |
Apr 11, 2024 - Holm group
Finkbeiner, Jan; Tovey, Samuel; Holm, Christian, 2024, "Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials", https://doi.org/10.18419/DARUS-4099, DaRUS, V1
Data and scripts for replicating results and the investigation presented in the paper. This includes the dft parameters for generating training data, all training and data selection scripts for the neural networks, scripts for running and analysing the production simulations with the trained potentials. |
Apr 2, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Models and Prepared Datasets for the Second Stage", https://doi.org/10.18419/DARUS-3689, DaRUS, V1
Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format + normalization etc, used for training these models. Last relevant git commit: 5d6c5eae5b00e438. Based on raw data from doi:darus-3651 and doi:darus-3652. |
Apr 2, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Models and Prepared Datasets for the First Stage", https://doi.org/10.18419/DARUS-3690, DaRUS, V1
Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format + normalization etc, used for training these models. Last relevant git commit: 5d6c5eae5b00e438. Based on raw data from doi:10.18419/darus-3649 and doi:10.18419/darus-3650. |
Mar 28, 2024 - PN 7-6
Bechler, Florian, 2024, "Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios", https://doi.org/10.18419/DARUS-4116, DaRUS, V1
Video of the interior and exterior information of a driving scenario, with the resulting graph-based description. The video shows a combination of exterior data of a driving scenario in combination with information about the drivers eyegaze. On the right side a resulting graph-based model is depicted which combines the states that are relevant for... |
Mar 27, 2024 - Publication Tools
Roy, Sarbani; Wang, Fangfang; Gläser, Dennis, 2024, "Harvester-Curator, a tool to elevate metadata provision in data and/or software repositories", https://doi.org/10.18419/DARUS-3785, DaRUS, V1
Harvester-Curator is a tool, designed to elevate metadata provision in data repositories. In the first phase, Harvester-Curator acts as a scanner, navigating through user code and/or data repositories to identify suitable parsers for different file types. It collects metadata from each of the files by applying corresponding parsers and then compile... |
