SimTech EXC 2075 Project Network 1 "Data-integrated models and methods for multiphase fluid dynamics"
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 1,341 Results
reaktoro-palandri-kharaka.tab
Sep 12, 2025 - Replication Data for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note
Tabular Data - 115.1 KB - 1 Variables, 900 Observations - UNF:6:iy53m0Jt/7ALpTj2ZKBjdA==
requirements.txt
Sep 12, 2025 - Replication Data for: Implementation Pitfalls for Carbonate Mineral Dissolution – a Technical Note
Plain Text - 46 B - MD5: 85476b91f72bfb01f7d6a6e1b038dda5
Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures
Jan 14, 2025 - PN 1-X
Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/DARUS-4143, DaRUS, V2
This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-reso...
Grid_Conv.tar.xz
Jan 14, 2025 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures
XZ Archive - 2.2 MB - MD5: 7f547fb50787e068753e2edd42f185cf
run_extension.sh
Jun 6, 2024 - Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries
Shell Script - 347 B - MD5: fbe6bd9bdd72940b10ba775cfe079b6d
run_script.sh
Jun 6, 2024 - Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries
Shell Script - 915 B - MD5: 41f886b579f6e7f1d1bde1356b54cf58
run_script.sh
Jun 6, 2024 - Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries
Shell Script - 1.1 KB - MD5: cc9316a3860efb86b17b9fb85feea253
run_script.sh
Jun 6, 2024 - Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries
Shell Script - 1.6 KB - MD5: 9c18e141e700aeef8b747aad04ff1be9
run_script.sh
Jun 6, 2024 - Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries
Shell Script - 1.3 KB - MD5: c8fc560f40f4e04d5feff209f99d6be7
run_script.sh
Jun 6, 2024 - Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries
Shell Script - 1.6 KB - MD5: 9c18e141e700aeef8b747aad04ff1be9
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.