Porosity and permeability are two major hydraulic properties that govern flow through porous media. Different kinds of processes can lead to alterations of the pore space which eventually change the hydraulic properties. This project focuses primarily on fluid-solid interfaces that are prone to change as a result of microbial activity. The alterations need to be measured experimentally and interpreted on the scales of interest by means of numerical simulations. It is also required to improve the efficiency of corresponding complex numerical simulation methods.
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 53 Results
TAR Archive - 4.9 MB - MD5: 006176534bf52b3bf1764b24acd16062
Dumux-pub-module mirror of https://git.iws.uni-stuttgart.de/dumux-pub/buerkle2021a Commit: 16eaaa4b
Tabular Data - 9.7 MB - 6 Variables, 86401 Observations - UNF:6:0x2Dq6tnxi0MxEVAm+ysvg==
Detailled processing explained in related publication, Unit of CO2 values: mol CO2/mol H2O
Jupyter Notebook - 28.5 KB - MD5: 78b21cdc3655f6b9464e1025903a65d0
Processing script to reproduce the processed data from the raw data via Jupyter Notebook
Tabular Data - 4.1 MB - 8 Variables, 86401 Observations - UNF:6:jDoGRsS1EyUrWy+IwM3wZQ==
Raw data of the "density-driven dissolution of CO2 in karst water" column 60 days experiment
MS Excel Spreadsheet - 35.8 KB - MD5: e427555a1305bedeb7d70cf6f69f0947
Calculated sherwood number and required data to calculate sherwood number. Sim1: Simulation with measured atmospheric CO2 concentration. Sim2: Simulation with (assumed) constant atmospheric CO2 concentration of 20,000 ppm
Nov 24, 2021
TAR Archive - 2.6 MB - MD5: d1931812fadb61cb603eab992e8542db
This dataset is the transformed, cutted and processed version of the XRCT images. It contains the 20 binarized slices with the precipitates flagged as 1. The size of the volume is 89 mm x 22 mm x 0.085 mm.
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.