181 to 190 of 251 Results
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... |
Aug 11, 2022 - Publication: Microfluidic experiments
Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2022, "Data for: Experimental Evaluation of Fluid Connectivity in Two-phase Flow in Porous Media", https://doi.org/10.18419/DARUS-2841, DaRUS, V1, UNF:6:eXAn1Zw3dv3IbpOaxBARzw== [fileUNF]
With the use of optical microscopy, microfluidic experiments took place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, four of which are shared here. This Dataset contains the data presented in the related publication Vahid Dastjerdi et. al. (2022) and (2023). Each experiment is flow cont... |
Aug 5, 2022 - PN 7-6
Kneifl, Jonas; Hay, Julian; Fehr, Jörg, 2022, "Human Occupant Motion in Pre-Crash Scenario", https://doi.org/10.18419/DARUS-2471, DaRUS, V1
This dataset provides simulation results from a high-fidelity human body model in a pre-crash scenario as well as a surrogate model to approximate those simulation results. The high-fidelity results contain the motion of all points describing the occupant at certain points of time for several scenarios. In each scenario, the accelerations of the ve... |
Jul 20, 2022 - SFB 1333 C6 - Holm group, ICP
Tischler, Ingo; Holm, Christian; Schlaich, Alexander, 2022, "Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group"", https://doi.org/10.18419/DARUS-1371, DaRUS, V1
All primary data files and processed data of the journal article from C6 group. It contains the simulation and analysis scripts, the ESPResSo commit and a patch to it, with which the data was produced. |
Jul 12, 2022 - Publication: Enzymatically induced carbonate precipitation
Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of low column (sample 10)", https://doi.org/10.18419/DARUS-2908, DaRUS, V1, UNF:6:lD3UlWjZQRaGPURMuWejpw== [fileUNF]
This dataset contains a micro X-ray Computed Tomography (micro-XRCT) data set (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diameter of about 5 mm and a length of 10 mm. It consists of glass beads... |
Jul 12, 2022 - Publication: Enzymatically induced carbonate precipitation
Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of high column (sample 4)", https://doi.org/10.18419/DARUS-2907, DaRUS, V1, UNF:6:ZBzSpg62B7xn5d+OtyUilg== [fileUNF]
This dataset contains micro X-ray Computed Tomography (micro-XRCT) data sets (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diameter of about 5 mm and a length of 10 mm. It consists of glass beads w... |
Jul 11, 2022 - Publication: Enzymatically induced carbonate precipitation
Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3)", https://doi.org/10.18419/DARUS-2906, DaRUS, V1, UNF:6:jlP3pZtBY1BpGYRex5PnqA== [fileUNF]
This dataset contains a micro X-ray Computed Tomography (micro-XRCT) data set (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diameter of about 5 mm and a length of 10 mm. It consists of glass beads... |
Jun 20, 2022 - PN 4-7
Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/DARUS-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]
This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additionally, we simulate wind forces... |
Jun 20, 2022 - PN 6-3
Holzmüller, David; Steinwart, Ingo, 2022, "Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent", https://doi.org/10.18419/DARUS-2978, DaRUS, V1
This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available on GitHub. Information on the code and installation instructions can be found in the file README.md. |
Jun 9, 2022 - SFB 1333 A4 - Bruckner group
Giess, Torsten; Itzigehl, Selina; Range, Jan Peter; Bruckner, Johanna R.; Pleiss, Jürgen, 2022, "Data for: FAIR and scalable management of small-angle X-ray scattering data", https://doi.org/10.18419/DARUS-2842, DaRUS, V1
This dataset contains small-angle X-ray scattering (SAXS) measurements on various octyltrimethylammonium bromide (OTAB)/water and octyltrimethylammonium chloride (OTAC)/water mixtures at different mass fractions and temperatures, as well as analysis and visualization data thereof. The data and metadata are contained within an archive adhering to th... |
