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41 to 50 of 1,823 Results
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....
May 14, 2025 - A02: Advanced modelling concepts for coupling free flow with porous-media flow
Veyskarami, Maziar, 2025, "DuMuX code for: "Coupled free-flow-porous media flow processes including drop formation"", https://doi.org/10.18419/DARUS-5042, DaRUS, V1
This dataset contains the source code used for the dissertation "Veyskarami, M. (2023). Coupled free-flow-porous media flow processes including drop formation" (http://dx.doi.org/10.18419/opus-13894).
May 14, 2025 - SFB-TRR 161 INF "Collaboration Infrastructure"
Müller, Christoph; Ertl, Thomas, 2024, "Performance Data for the Visualisation of Time-Dependent Particles using DirectStorage", https://doi.org/10.18419/DARUS-4017, DaRUS, V2
Results of a series of performance measurements (frame times) to determine the impact of using the DirectStorage API for rendering time-dependent particle data sets in contrast to using traditional POSIX-style I/O APIs.
May 14, 2025 - SFB 1333 A3 - Lotsch group, MPI-FKF
Hosseini Yazdeli, Seyed Pouya; Rodríguez-Camargo, Andrés; Jiang, Yiqun; Zhang, Siyuan; Scheu, Christina; Yao, Liang; Lotsch, Bettina V.; Tschulik, Kristina, 2025, "Replication data for: "Shedding Light on the Active Species in a Cobalt-Based Covalent Organic Framework for the Electrochemical Oxygen Evolution Reaction"", https://doi.org/10.18419/DARUS-4835, DaRUS, V1
All primary and processed data of the journal article can be found here. The data is structured according to analytical techniques. The material measured is described in a file name. The dataset includes only experimental data and no simulational data. The measurement methods are described in the SI of the journal article. The data can be used to r...
May 14, 2025 - SFB 1333 A3 - Lotsch group, MPI-FKF
Rodríguez-Camargo, Andrés; Terban, Maxwell; Paetsch, Martina; Rico, Elio; Graf, Daniel; Hirpara, Radhika; Duppel, Viola; Moudrakovski, Igor; Etter, Martin; Guijarro, Néstor; Ochsenfeld, Christian; Dinnebier, Robert; Yao, Liang, 2025, "Replication data for: Cyclopalladation of a Covalent Organic Framework for Near-Infrared Light-Driven Photocatalytic Hydrogen Peroxide Production", https://doi.org/10.18419/DARUS-4626, DaRUS, V1
All primary and processed data of the journal article can be found here. The data is structured according to analytical techniques. The material measured is described in a file name. The dataset includes only experimental data and no simulational data. The measurement methods are described in the SI of the journal article. The data can be used to r...
May 12, 2025 - EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'
Elshani, Diellza; Lombardi, Alessio; Hernández, Daniel; Staab, Steffen; Fisher, Al; Wortmann, Thomas, 2025, "Linked RDF graphs of an architectural and structural representation of a timber structure", https://doi.org/10.18419/DARUS-4360, DaRUS, V1
This dataset provides a collection of semantically enriched RDF graphs representing both architectural and structural aspects of a timber structure. The data is organized into modular Turtle (.ttl) files and one RIF rule definition (.txt) for reasoning purposes. Included in the dataset: Architectural Graph.ttl: Captures the spatial and material cha...
May 12, 2025 - Institute of Engineering and Computational Mechanics
Elangasinghe, Akila; Könecke, Tom; Schneider, Jan; Rosenfelder, Mario; Hanss, Michael; Eberhard, Peter, 2025, "Experiment Video of Possibilistic Filtering and Optimization-Based Control of the Ball-on-Wheel System", https://doi.org/10.18419/DARUS-5035, DaRUS, V1
The video provided shows two experimental results of a controlled Ball-on-Wheel system, each subjected to a different filtering and control method. The objective is to robustly stabilize the system's unstable equilibrium. In particular, the first part of the video demonstrates the real-time application of a Recursive Possibilistic Particle Filter (...
May 12, 2025 - PN 6-15
Gaimann, Mario U.; Klopotek, Miriam, 2025, "Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4619, DaRUS, V1
This dataset contains supplementary videos for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek, 2025) The videos show active matter systems (swarms) driven by an external force. These swarm systems can be used to predict the future trajectory of the external driving force using reservoir compu...
May 12, 2025 - PN 6-15
Gaimann, Mario U.; Klopotek, Miriam, 2025, "Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4620, DaRUS, V1, UNF:6:JR70RsK1jeEUWlriMxeIpw== [fileUNF]
This repository contains raw and post-processed replication data for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek, 2025). The datasets contain physical observables recorded during non-equilibrium simulations of active matter systems (swarms) driven by an external force. These simulations se...
May 9, 2025 - Institute for Reactive Flows (IRST)
Pandey, Anjul, 2025, "Replication Data for: Modelling collision frequencies and predicting bi-variate agglomerate size distributions for bi-disperse primary particle systems", https://doi.org/10.18419/DARUS-4924, DaRUS, V1
This dataset contains all the solvers and case setups to generate the results used in the paper. More information is available in the README files of the corresponding directories.
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