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Sep 18, 2024 - Institute of Geodesy
Saemian, Peyman; Elmi, Omid; Stroud, Molly; Riggs, Ryan; Kitambo, Benjamin M.; Papa, Fabrice; Allen, George H.; Tourian, Mohammad J., 2024, "Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)", https://doi.org/10.18419/darus-4475, DaRUS, V1
The Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) dataset provides a comprehensive solution for addressing gaps in river discharge measurements by leveraging satellite altimetry. This dataset offers enhanced coverage for river dis...
Sep 17, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Models and Prepared Datasets for LG-CNN", https://doi.org/10.18419/darus-4467, DaRUS, V2
Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train these models. Last relevant git commit: cae87d68faf96b2bd8dab935. Based on raw data from doi:darus-4156.
Sep 16, 2024 - SFB-TRR 161 C06 "User-Adaptive Mixed Reality"
Chiossi, Francesco; Haliburton, Luke; Ou, Changkun; Butz, Andreas; Schmidt, Albrecht, 2024, "Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"", https://doi.org/10.18419/darus-3327, DaRUS, V1, UNF:6:7FzpUkbNmyXLFXVYJ8abKQ== [fileUNF]
Social media platforms use short, highly engaging videos to catch users’ attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms, we do not yet understand their impact on cognitive functions. We conducted a between-subjects exper...
Sep 16, 2024 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"
Evers, Marina; Weiskopf, Daniel, 2024, "Supplementary Material for Uncertainty-aware Spectral Visualization", https://doi.org/10.18419/darus-4447, DaRUS, V1
In this supplemental material, we provide supplemental information (PDF document with derivations of the results presented in the paper and two additional use cases) and the supplementary video for uncertainty-aware spectral analysis. We model an uncertain time series as a multiv...
Sep 13, 2024 - Institute of Aerodynamics and Gas Dynamics
Appelbaum, Jason; Kloker, Markus J.; Wenzel, Christoph, 2024, "Data for: A systematic DNS approach to isolate wall-curvature effects in spatially developing boundary layers", https://doi.org/10.18419/darus-4345, DaRUS, V3
Spanwise [z] and temporal [t] averaged turbulent fields of four direct numerical simulations (DNS) of a turbulent boundary layer (TBL) calculated using the code NS3D. Datasets ZPG-C & ZPG-F both have approximately zero pressure gradient along the wall boundary, whereas PG-C & PG-...
Sep 13, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Datasets: 6 Heat Pumps, Simulation - Raw + Prepared, 1000 Data Points", https://doi.org/10.18419/darus-4473, DaRUS, V1
This dataset serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (six heat pumps, randomly placed). It is simulated with Pflotran and stored in h5 format. The dataset contains 1000 data points, each consisting of one...
Sep 13, 2024 - Projects without PN Affiliation
Hermann, Sibylle, 2024, "Database for: Documenting Research in Simulation Science to Enhance Understanding for Reusability", https://doi.org/10.18419/darus-4142, DaRUS, V1, UNF:6:mhHYSODfUq/dE3D6o/V/ww== [fileUNF]
Replication Data for an analysis of research articles from computational mechanics, all using the software Pasimodo https://www.itm.uni-stuttgart.de/en/software/pasimodo/ Categories for analysing the articles: To understand the context of the citation, we classified the citations...
Sep 10, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V2
These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains...
Sep 10, 2024 - Surrogate models for groundwater flow simulations
Pelzer, Julia, 2024, "Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points", https://doi.org/10.18419/darus-4156, DaRUS, V1
This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting o...
Sep 6, 2024 - Institute of Applied Analysis and Numerical Simulation
Bordignon, Andrea; Cances, Eric; Dusson, Geneviève; Kemlin, Gaspard; Lainez Reyes, Rafael; Stamm, Benjamin, 2024, "Replication Data for: Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals", https://doi.org/10.18419/darus-4469, DaRUS, V1
Data for reproducibility of the numerical simulations of the research paper "Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals". The .zip file contains everything needed to generate the plots shown in the p...
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