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31 to 40 of 2,233 Results
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-ba...
Mar 28, 2024 - ISW Timo König Cornuspline path planning algorithm for the fabrication of coreless wound fibre-polymer composite structures
König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/darus-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF]
This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm co...
2018_DFG_IMPULS(Universität Stuttgart)
Mar 27, 2024ISW Data Repository
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 fro...
Mar 26, 2024xkg
Dataverse for the conference paper Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures. Contains all position data for the validation section.
xkg(Universität Stuttgart)
Mar 26, 2024ISW Publications
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 25, 2024 - A01: Molecular detail in fluid simulations: Density Functional Theory within component and momentum balances
Bursik, Benjamin; Stierle, Rolf; Schlaich, Alexander; Rehner, Philipp; Gross, Joachim, 2024, "Additional Material: Viscosities of Inhomogeneous Systems from Generalized Entropy Scaling", https://doi.org/10.18419/darus-3769, DaRUS, V1
This data set contains data of three categories: 1) LAMMPS input files (.lammps), postprocessing python script (.py) and density and velocity profiles (.dat) from NEMD. 2) DFT three-dimensional density profiles (.npy) for all systems. 3) Jupyter notebooks (.ipynb) for the calcula...
Mar 25, 2024 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"
Weber, Simon; Fang, Yuan; Rüdisser, Daniel; Leistner, Philip, 2024, "Replication Data for: "LiDICS: A Light Dynamics Interface for Multi-domain Simulation based on the FMI-Standard"", https://doi.org/10.18419/darus-4107, DaRUS, V1, UNF:6:/zkIEGIEWD/yj62A4eA4Ew== [fileUNF]
This dataset contains the following data: dfRaw.csv: the initial data for LiDICS method dfRes.csv: the result data of the LiDICS routines plotSIOP-Folder: the interactive 3D plots of the raw data points and the solar incidence operators, name convention: "plotSIOP_" + qStr + "_"...
Mar 22, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "Saliency3D: A 3D Saliency Dataset Collected on Screen (Dataset and Experiment Application)", https://doi.org/10.18419/darus-4101, DaRUS, V1
While visual saliency has recently been studied in 3D, the experimental setup for collecting 3D saliency data can be expensive and cumbersome. To address this challenge, we propose a novel experimental design that utilizes an eye tracker on a screen to collect 3D saliency data. O...
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