SFB 1313 is an interdisciplinary Collaborative Research Centre of the University of Stuttgart, consisting of four major project areas (A-D), divided in 17 individual research projects. It is funded by the German Research Foundation (DFG) and affiliated to the Cluster of Excellence "Data-integrated Simulation Science (SimTech)".

Interfaces have a great impact on multi-field processes (flow, transport and deformation) in porous-media systems. SFB 1313 aims to research these interfaces and to gain a fundamental understanding how they affect multi-field processes. An important step is therefore to quantify how the dynamics of fluid-fluid and fluid-solid interfaces in porous-media systems are affected by pore geometry, heterogeneity and fractures. Furthermore, developing experimental knowledge as well as mathematical and computational models will support SFB 1313‘s research.

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

31 to 40 of 2,849 Results
Tabular Data - 294 B - 3 Variables, 19 Observations - UNF:6:/O6UDXIG6Zz1JEdbmuzFew==
DataTime Series
Experimental time-series data for the a6mm aperture case with 10 min mean residence time, 0.5 bar CO₂ partial pressure, and 21 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
Tabular Data - 328 B - 3 Variables, 21 Observations - UNF:6:z7gqfaXR+REIFQljwGEckA==
DataTime Series
Experimental time-series data for the a6mm aperture case with 10 min mean residence time, 1.0 bar CO₂ partial pressure, and 20 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
Tabular Data - 238 B - 3 Variables, 15 Observations - UNF:6:J6h+MY0Dh8yZADBhZfy6hw==
DataTime Series
Experimental time-series data for the a6mm aperture case with 30 min mean residence time, 0.5 bar CO₂ partial pressure, and 22 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
Tabular Data - 256 B - 3 Variables, 16 Observations - UNF:6:qXJ/DeQlCLqZm7CcSw4pgA==
DataTime Series
Experimental time-series data for the a6mm aperture case with 30 min mean residence time, 1.0 bar CO₂ partial pressure, and 22 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
Tabular Data - 326 B - 3 Variables, 19 Observations - UNF:6:d/VgHv6wl8cDNFlFOr0dLA==
DataTime Series
Experimental time-series data for the a6mm aperture case with 60 min mean residence time, 0.5 bar CO₂ partial pressure, and 21 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
Tabular Data - 342 B - 3 Variables, 20 Observations - UNF:6:U2cN0kAuJw6vOSlDhYPksQ==
DataTime Series
Experimental time-series data for the a6mm aperture case with 60 min mean residence time, 1.0 bar CO₂ partial pressure, and 21 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation.
Gzip Archive - 16.4 GB - MD5: d30c0d678eeaa562acfbcdbe641450a4
Optional Data
Contains the simulation output raw data which can be used to reproduce vtk output. See section "Reproducing the VTK Files" in repositories readme.
Gzip Archive - 377.8 MB - MD5: 168232b6c35383ddaf551ba97d661e28
Data
Contains the main data set used for reproduction of the plots in the paper
Python Source Code - 2.8 KB - MD5: aea9a8dbe24875e5443063a8baa02acd
Code
Python script that calculates the theoretical pre-experimental inlet fluid pH and prints it to the CLI. Corresponds to pH_in values Table 1 in the associated publication.
Python Source Code - 15.6 KB - MD5: 734907a8753423b28543c1dacd9d1fc6
Code
Python script that estimates the surface retreat expected in the experiments using the NERO_ExperimentalData.ods file; prints results to the console.
Add Data

Log in to create a dataverse or add a dataset.

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.