1 to 10 of 1,715 Results
Jun 30, 2025 - Data Analytics in Engineering
Keshav, Sanath; Herb, Julius; Fritzen, Felix, 2025, "Supplemental data for "Spectral Normalization and Voigt–Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees"", https://doi.org/10.18419/DARUS-5120, DaRUS, V1
This repository contains supplemental data for the article "Spectral Normalization and Voigt-Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees", accepted for publication in GAMM-Mitteilungen by Sanath Keshav, Julius Herb, and Felix Fritzen [1]. The data contained in this DaRUS repository acts as an exte... |
Jun 18, 2025 - IRCOBI
Lerge, Patrick; Trube, Niclas; Schmitt, Syn, 2025, "Replication Data for: "Plausibility assessment of passive and active human body models in numerical pedestrian to vehicle collision simulations based on real-life accident data and development of an injury assessment metric"", https://doi.org/10.18419/DARUS-5101, DaRUS, V1
This dataset contains all necessary files and descriptions to extend the finite element passive THUMSv4 pedestrian human body model into a muscle-driven active human body model. It also contains all the necessary tools to reposition the standard THUMSv4 pedestrian model into four different pedestrian positions as described in the publication "Plaus... |
Jun 11, 2025 - SFB-TRR 161 INF "Collaboration Infrastructure"
Garkov, Dimitar; Lein, Etienne; Kielkopf, Niklas; Dullin, Christian; Klein, Karsten; Sommer, Bjorn; Jordan, Alex; Schreiber, Falk, 2025, "Software and Data for: Interactive delineation and quantification of anatomical structure with virtual reality", https://doi.org/10.18419/DARUS-4779, DaRUS, V1
This dataset contains the supplemental materials, the used tools, and the release of the software presented in the paper Interactive delineation and quantification of anatomical structure with virtual reality. The dataset is structured in the typical order of data processing: Imaging Tomographic Reconstruction Brainacle Software (Delineation, Quant... |
Jun 5, 2025 - ABxM Framework for Agent-based Modeling and Simulation
Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/DARUS-2994, DaRUS, V5
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 7 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any application that is compatible with McNeel’s Rhino.Inside technology. ABxM.Core... |
Jun 4, 2025 - EXC IntCDC Research Project 19 'Co-Design Methods for Developing Distributed Cooperative Multi-Robot Systems for Construction'
Leder, Samuel; Menges, Achim, 2025, "ABxM.DistributedRobotics.RP19: Agent-Based Models for a Modular Collective Robotic Construction System", https://doi.org/10.18419/DARUS-4760, DaRUS, V2
ABxM.DistributedRobotics.RP19 is an add-on to ABxM.Core for agent-based modelling of a collective robotic construction (CRC) system developed in the context of Research Project 19-1 (RP19-1) "Leveraging The Building Material As Part Of The Robotic Kinematic System For Parallel Construction" from the Cluster of Excellence Integrative Computational D... |
May 28, 2025 - PN 6-8 (II)
Bauer, Ruben; Evers, Marina; Quang Ngo, Quynh; Reina, Guido; Frey, Steffen; Sedlmair, Michael, 2025, "Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples", https://doi.org/10.18419/DARUS-4930, DaRUS, V1, UNF:6:3NivtJY91pyT7tXMB/YrJQ== [fileUNF]
This dataset contains the data and code for the publication: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples. Code Repository A dynamic version of the code repository can be found at https://github.com/rbnbr/VoroParaSense. The version presented in this dataset corresponds to the version used in the corresponding pape... |
May 28, 2025 - PN 6-4
Schäfer, Noel; Künzel, Sebastian; Tilli, Pascal; Munz-Körner, Tanja; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2025, "Extended Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3909, DaRUS, V1
Source code of our extended visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Additionally, it is an improved version of our system that can be found here Instructions on how to use our system can be found in t... |
Jeltsch, Albert; Schnee, Philipp, 2025, "MD Simulations with PRDM9", https://doi.org/10.18419/DARUS-4567, DaRUS, V2
This data collection contains additional data related to Graf et al.: "Investigation and design of the dual specificity of the PRDM9 protein lysine methyltransferase". This includes: Modelled structures of PRDM9 bound to different peptides Source data of the results of the MD analysis MD simulations codes and analysis scripts |
May 19, 2025 - Visualisierungsinstitut der Universität Stuttgart
Gralka, Patrick; Müller, Christoph; Geringer, Sergej; Reina, Guido; Weiskopf, Daniel, 2025, "Supplemental Material for "Quantifying Energy Reduction of Foveated Volume Visualization"", https://doi.org/10.18419/DARUS-4931, DaRUS, V1, UNF:6:NCxXll3z7YVhZlwJEystXg== [fileUNF]
Supplemental Material for "Quantifying Energy Reduction of Foveated Volume Visualization." It contains the measurements that are the basis for the discussion in the paper. These measurements investigate the energy consumption of foveated volume visualization: non-foveated direct volume rendering (DVR) foveated variable rate shading (VRS) foveated r... |
May 14, 2025 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation"
Schmalfuss, Jenny; Oei, Victor; Mehl, Lukas; Bartsch, Madlen; Agnihotri, Shashank; Keuper, Margret; Bruhn, Andres, 2025, "RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo", https://doi.org/10.18419/DARUS-5047, DaRUS, V1
The RobustSpring dataset contains the image corruption data files for scene flow, optical flow and stereo estimation with the Spring dataset. Note that this repository contains only the Spring test data files. For easier handling, we organized them into sub-directories by image corruption type: brightness.zip : brightness image corruption contrast.... |
