421 to 430 of 1,831 Results
Feb 6, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Aichem, Michael; Klein, Karsten; Kobourov, Stephen; Schreiber, Falk, 2023, "Supplemental Materials for: "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations"", https://doi.org/10.18419/DARUS-3706, DaRUS, V2
This dataset contains the supplemental materials for our publication "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations". The publication reports on an experiment that we conducted to explore the effects of different interactive visual transformations in network drawings... |
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-... |
Jan 29, 2024 - Quantum Computing @IAAS
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... |
Jan 29, 2024 - Institut für Visualisierung und Interaktive Systeme
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... |
Jan 23, 2024 - SynDAB
Müller, Manuel; Hagmanns, Raphael; Petereit, Janko; Egloffstein, Thomas; Weyrich, Lucas; Ebert, Christof; Weyrich, Michael, 2024, "SynDAB Dataset", https://doi.org/10.18419/DARUS-3758, DaRUS, V1
The dataset comprises a collection of images captured from the perspective of an excavator. The images depict a landfill with various environmental contexts. Specifically, various type of barrels are contained. Moreover, the dataset contains the simulated LiDAR data of these scenes. |
Jan 18, 2024 - Institute of Geodesy
Elmi, Omid; Tourian, Mohammad J.; Saemian, Peyman; Sneeuw, Nico, 2023, "Remote Sensing-Based Extension of GRDC River Discharge Time Series", https://doi.org/10.18419/DARUS-3558, DaRUS, V4
The quantification of river discharge is essential for understanding global freshwater dynamics. However, the Global Runoff Data Center (GRDC) dataset has faced a decline in the number of active gauges since the 1980s, leaving only 14% of gauges active as of 2020. We develop the Remote Sensing-based Extension for the GRDC (RSEG) dataset that can in... |
Jan 16, 2024 - 2023_DFG_TopGen3
Helfesrieder, Nico, 2024, "Replication Data for: Anisotropic Damping and Stiffness of laminated steel parts using adhesive bonding - an empirical influence study", https://doi.org/10.18419/DARUS-3365, DaRUS, V1, UNF:6:iW1hKCadh2Z5CUi91DMIyg== [fileUNF]
This dataset contains all experimental data that is shown within the paper "Anisotropic Damping and Stiffness of laminated steel parts using adhesive bonding - an empirical influence study". Bending beams manufactured by Layer Laminated Manufacturing (LLM) were investigated in order to analyze the influence of different manufacturing parameters on... |