361 to 370 of 381 Results
Feb 8, 2024
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Feb 6, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/DARUS-3451, DaRUS, V1
We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits. An anonymized print-out of the preregistration. The original preregi... |
Jan 31, 2024 - Institute of Geodesy
Foster, James, 2024, "Ship-based GNSS Tsunami Detection Pilot Network", https://doi.org/10.18419/DARUS-3895, DaRUS, V1
The dataset contains the real-time GNSS position solutions from ships in the Ship-based GNSS Tsunami Detection Pilot Network. Each file contains the full rate ascii position data for one calendar year per ship with one line per record and the following columns: YYYY MM DD HH MN SS LAT LON ELEV SIGMAY SIGMAX SIGMAZ
Date and time are in UTC. LAT LON... |
Jan 29, 2024 - SFB 1333 A3 - Lotsch group, MPI-FKF
Grunenberg, Lars; Savasci, Gökcen; Emmerling, Sebastian; Heck, Fabian; Bette, Sebastian; Cima Bergesch, Afonso; Ochsenfeld, Christian; Lotsch, Bettina V., 2024, "Replication data of Lotsch group for: "Postsynthetic Transformation of Imine- into Nitrone-Linked Covalent Organic Frameworks for Atmospheric Water Harvesting at Decreased Humidity"", https://doi.org/10.18419/DARUS-3658, DaRUS, V1, UNF:6:6qLrfVdxi4dySJ6NPLMHUw== [fileUNF]
Herein, we report a facile postsynthetic linkage conversion method giving synthetic access to nitrone-linked covalent organic frameworks (COFs) from imine- and amine-linked COFs. The new two-dimensional (2D) nitrone-linked covalent organic frameworks, NO-PI-3-COF and NO-TTI-COF, are obtained with high crystallinity and large surface areas. Nitrone-... |
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander, 2024, "Data repository for: Cutting a Wire with Non-Maximally Entangled States", https://doi.org/10.18419/DARUS-3888, DaRUS, V1, UNF:6:79HIPgCvMDi51TZ2V7NUew== [fileUNF]
This dataset contains the replication code for the publication titled "Cutting a Wire with Non-Maximally Entangled States." The provided code represents the version utilized to generate the experimental results documented in the corresponding publication. For comprehensive instructions on using the provided data and code, please refer to the README... |
Franke, Max, 2024, "Shaded relief WebMercator 'slippy map' tiles based on NASA Shuttle Radar Topography Mission Global 1 arc second V003 topographic height data", https://doi.org/10.18419/DARUS-3837, DaRUS, V1
This dataset contains WebMercator tiles which contain gray-scale shaded relief (hill shades), and nothing else. The tiles have a resolution of 256×256px, suitable for web mapping libraries such as Leaflet. The hill shades are generated from SRTM altitude data, which cover the land area between 60° northern and 58° southern latitude, and which lies... |
Jan 26, 2024 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Dennig, Frederik L.; Joos, Lucas; Paetzold, Patrick; Blumberg, Daniela; Deussen, Oliver; Keim, Daniel; Fischer, Maximilian T., 2024, "The Categorical Data Map - Replication Data", https://doi.org/10.18419/DARUS-3372, DaRUS, V1, UNF:6:4NrkBxJKpeeQqsRmi8XRPw== [fileUNF]
Source code and datasets used for our experiments are shared for replication purposes along our publication "The Categorical Data Map". We describe each of the six datasets individually on a per-file basis. All datasets are purely nominal datasets. |
Jan 26, 2024 - HLRS-exaFOAM
Lesnik, Sergey; Rusche, Henrik, 2024, "exaFOAM Grand Challenge GC2 - DLR Confined Jet High Pressure Combustor", https://doi.org/10.18419/DARUS-3699, DaRUS, V1
This work is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. The case was designed to push available HPC systems to their limits and showcase the performance gains achieved over the duration of the project. The conside... |
