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21 to 30 of 529 Results
Jul 18, 2022 - KH07-09 Künstlicher Horizont mit pneumatischer Stützung
Zhan, Kun, 2021, "3D Integrated Data of KH07-09", https://doi.org/10.18419/darus-2036, DaRUS, V2
Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset. This dataset is pa...
Jul 18, 2022 - LK05/01-17 Lagekreisel G200 der LN3-Plattform
Zhan, Kun, 2021, "3D Integrated Data of LK05/01-17", https://doi.org/10.18419/darus-1668, DaRUS, V2
Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset. This dataset is pa...
Jul 18, 2022 - KK25-09 Lagekreisel Honeywell
Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Wagner, Jörg F.; Zhan, Kun, 2021, "Information about KK25-09", https://doi.org/10.18419/darus-1501, DaRUS, V2
Pdf list containing all information collected about this object. For more information see entry in Goobi. This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 20...
Jul 18, 2022 - KK17/3-09 Kurskreisel-Komponente
Mammadov, Gasim; Schweizer, Timo; Niklaus, Maria, 2021, "3D CT-Data for KK17/3-09", https://doi.org/10.18419/darus-1391, DaRUS, V2
Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means. This dataset is part of the digital gyroscope collection. For more information about the collection and it...
Jul 18, 2022 - KK17/2-09 Kurskreisel-Komponente
Mammadov, Gasim; Schweizer, Timo; Niklaus, Maria, 2021, "3D CT-Data for KK17/2-09", https://doi.org/10.18419/darus-1382, DaRUS, V2
Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means. This dataset is part of the digital gyroscope collection. For more information about the collection and it...
Jul 18, 2022 - KK17/1-09 Kreiselrotor
Mammadov, Gasim; Schweizer, Timo; Niklaus, Maria, 2021, "3D CT-Data for KK17/1-09", https://doi.org/10.18419/darus-1375, DaRUS, V2
Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means. This dataset is part of the digital gyroscope collection. For more information about the collection and it...
Jun 21, 2022 - Dual-network model
Koch, Timo; Weishaupt, Kilian, 2021, "Dumux code for creating results in dual network publication", https://doi.org/10.18419/darus-1825, DaRUS, V2
Dumux source to produce some of the result in T. Koch, K. Weishaupt, J. Müller, B. Weigand, R.Helmig (2021) A (dual) network model for heat transfer in porous media, Transport in Porous Media doi: 10.1007/s11242-021-01602-5. The contained applications allow to perform dual networ...
Dec 1, 2021 - Institut für Visualisierung und Interaktive Systeme
Franke, Max; Knabben, Moritz; Lang, Julian; Koch, Steffen; Blascheck, Tanja, 2021, "Data for: A Comparative Study of Visualizations for Multiple Time Series", https://doi.org/10.18419/darus-2134, DaRUS, V1, UNF:6:jaMGOfSI5L/wPcnoJNKcaQ== [fileUNF]
Study data of comparative study of visualizations for multiple time series including anonymized participant data from Prolific, data set generation scripts, source code for the study framework, and analysis scripts. This repository also serves as supplemental material for the pub...
Oct 18, 2021 - Scientific Computing
Pollinger, Theresa, 2021, "Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", https://doi.org/10.18419/darus-2123, DaRUS, V1, UNF:6:azg9VIhJn6FUwnNgme2Kjg== [fileUNF]
Scripts to run the weak, strong and remote strong scaling tests described in "Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", as well as measurements obtained on the Machines HAWK and our Institute's epyc machine.
Oct 15, 2021 - PN 6
Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/darus-2136, DaRUS, V1
Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab
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