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1 to 7 of 7 Results
Dec 2, 2021 - Density-driven dissolution of CO2 in karst water
Class, Holger; Bürkle, Pascal; Trötschler, Oliver; Zimmer, Martin; Strauch, Bettina, 2021, "Data for: On the role of density-driven dissolution of CO2 in karstification", https://doi.org/10.18419/darus-2040, DaRUS, V1, UNF:6:MLmw+UrdmPEjg9Db5HtPDw== [fileUNF]
Summary: Data of the "density-driven dissolution of CO2 in karst water" column experiment. A laboratory column was filled with tapwater (water level 5,55 m) and exposed it to an elevated gaseous CO2-concentration, roughly 50 times the current atmospheric concentration (20000 +/-...
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 7, 2021 - Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach
Jaust, Alexander; Schmidt, Patrick, 2021, "Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach", https://doi.org/10.18419/darus-1778, DaRUS, V1
This repository contains simulation data and postprocessing scripts used in the publication: Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). do...
Sep 27, 2021 - Usability and Sustainability of Simulation Software
Chourdakis, Gerasimos; Davis, Kyle; Rodenberg, Benjamin; Schulte, Miriam; Simonis, Frédéric; Uekermann, Benjamin; Abrams, Georg; Bungartz, Hans-Joachim; Cheun Yau, Lucia; Desai, Ishaan; Eder, Konrad; Hertrich, Richard; Lindner, Florian; Rusch, Alexander; Sashko, Dmytro; Schneider, David; Totounferoush, Amin; Volland, Dominik; Vollmer, Peter; Ziya Koseomur, Oguz, 2021, "preCICE Distribution Version v2104.0", https://doi.org/10.18419/darus-2125, DaRUS, V1
The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archi...
Sep 10, 2021 - PN 6-4
Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1
Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy...
Jun 7, 2021 - Publications
Hirschmann, Steffen, 2021, "Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers", https://doi.org/10.18419/darus-1851, DaRUS, V1, UNF:6:WXqt4IDAIDGnJB9tcwMhdg== [fileUNF]
This dataset contains input data, scripts, etc. for replicating the numerical experiments in Steffen Hirschmann's dissertation. The data is prefixed with folders indicating the specific experiment as is the processing metadata. The experiments are: 00_periodicity_experiment: Expe...
Mar 25, 2021 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel; Rohde, Christian, 2021, "Replication Data for: A Finite-Volume Moving-Mesh Method for Two-phase Flow in Fracturing Porous Media", https://doi.org/10.18419/darus-1712, DaRUS, V1, UNF:6:5SiZw47jNRaRUzSpL1A7Qg== [fileUNF]
This is the replication data for the publication "A Finite-Volume Moving-Mesh Method for Two-phase Flow in Fracturing Porous Media". This dataset contains the source code of the implementation and the raw data of the published results.
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