31 to 40 of 45 Results
Schließus, Julian; Gagnon, Louis, 2022, "Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors", https://doi.org/10.18419/DARUS-2232, DaRUS, V2
OpenFOAM simulation case files and results accompanying the article having the same title are included. The pressure and velocity fields could be visualized by using Paraview. The cases are described in the Bachelor Thesis referenced under Related Publication. For details how to use and access the data and code, please see the instructions in the f... |
Oct 28, 2022 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel; Hörl, Maximilian; Rohde, Christian, 2022, "Source Code for: Flow in Porous Media with Fractures of Varying Aperture", https://doi.org/10.18419/DARUS-3012, DaRUS, V1
Python source code to replicate the results in [S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication, https://doi.org/10.48550/arXiv.2207.09301]. The contained Python package "mmdgpy" is an implementation of interior penalty discontinuous Galerkin (dG) schemes in 2D and 3D f... |
Oct 26, 2022 - Projects without PN Affiliation
Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps", https://doi.org/10.18419/DARUS-3184, DaRUS, V1
This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions. |
Oct 26, 2022 - Projects without PN Affiliation
Davis, Kyle; Schulte, Miriam, 2022, "COM-4 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/DARUS-3185, DaRUS, V1
This data repository contains the COM-4 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs simulation setup, spack build environment and spack build mirror to replicate the software build environment. A README file is provided, explaining the spack building procedure and running the simulation. |
Oct 26, 2022 - Projects without PN Affiliation
Davis, Kyle; Schulte, Miriam, 2022, "REG-30 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/DARUS-3195, DaRUS, V1
This data repository contains the REG-30 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs software and simulation setup. Instructions for building the spack environment and running the simulation are provided in the README. |
Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Radial basis function interpolation with partition of unity for PyRBF", https://doi.org/10.18419/DARUS-3183, DaRUS, V1, UNF:6:n9rIOI84ZodNZYhB8p26GQ== [fileUNF]
The dataset provides the PyRBF python code to perform partition of unity radial basis function interpolation. This includes all meshes in VTK format and a post processing folder to generate the figures from provided results. The README provides further instructions. All software dependency versions are provided in the README. |
Oct 21, 2022 - C-X2
Hommel, Johannes; Gehring, Luca, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - column samples", https://doi.org/10.18419/DARUS-1713, DaRUS, V1, UNF:6:vBpJde3Meqz5+FeRU6TReA== [fileUNF]
This data set includes processed image data from three experiments on enzymatically induced carbonate precipitation ( further named low-, medium-, and high-mineralization or column 10, column 3, and column 4, respectively). Related data sets with the CT data this data set is based on are: low-mineralization sample: column 10, http://doi.org/10.1841... |
Oct 21, 2022 - C-X2
Hommel, Johannes; Weinhardt, Felix, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - microfluidics samples", https://doi.org/10.18419/DARUS-2791, DaRUS, V1
Content: This dataset includes processed data from two experiments on enzymatically induced carbonate precipitation (2D1 and 2D2), whose raw data is already published in https://doi.org/10.18419/darus-1799 (there named Quasi-2D-1 and Quasi-2D-2). This dataset contains in detail: Files for reproducing the simulation results: the docker container bas... |
Oct 11, 2022 - SFB-TRR 161 B07 "Computational Uncertainty Quantification"
Beschle, Cedric; Barth, Andrea, 2022, "Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5", https://doi.org/10.18419/DARUS-3154, DaRUS, V1
Python code to generate the meshes and FEM solutions to Section 5 of the paper Uncertainty visualization: Fundamentals and recent developments. Comments are in the code to explain it. Paraview is used for the visualization. |
Oct 6, 2022 - C-X5
Kiemle, Stefanie; Heck, Katharina, 2022, "Dumux code for modelling stable water isotopologue transport and fractionation", https://doi.org/10.18419/DARUS-3105, DaRUS, V1
Dumux source code to reproduce the results presented in S. Kiemle, K. Heck, E. Coltman, R. Helmig (2023) Stable water isotopologue fractionation during soil-water evaporation: Analysis using a coupled soil-atmosphere model. Water Resources Research. The contained application allows to model stable water isotopologue transport and fractionation in s... |
