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

1 to 10 of 19 Results
Sep 15, 2025
Hommel, Johannes; Bozkurt, Kerem; Nething, Christoph; Smirnova, Maiia, 2025, "Data used in and produced during calibration and validation of the model for bioconcrete production", https://doi.org/10.18419/DARUS-4814, DaRUS, V1
Data used in and produced during calibration and validation of the model for bioconcrete production in the paper "A numerical 1D reactive flow and transport model for cementation processes in bio-concrete production". Experimental data is derived from Smirnova et al. 2023. The experiment TR1-2 was used to calibrate the developed model for bioconcre...
Sep 15, 2025
Hommel, Johannes; Bozkurt, Kerem; Wang, Yue; Class, Holger, 2025, "Model for Bioconcrete Production", https://doi.org/10.18419/DARUS-4813, DaRUS, V1
This dataset contains the code for the REV-scale model for "A numerical 1D reactive flow and transport model for cementation processes in bio-concrete production". The model was (and can be) applied for various experimental setups, for which input files are provided as well. The setup of these is described in the Readme. Related datasets and reposi...
Jul 2, 2025 - Publication: Intermittent flow paths in biofilms grown in a microfluidic channel
Bozkurt, Kerem; Lohrmann, Christoph; Weinhardt, Felix; Hanke, Daniel; Hopp, Raphael; Gerlach, Robin; Holm, Christian; Class, Holger, 2025, "Data for: Intermittent flow paths in biofilms grown in a microfluidic channel", https://doi.org/10.18419/DARUS-4314, DaRUS, V1
Content: This dataset includes images of 10 different biofilm growth experiments to observe intermittent flow paths in a microfluidic channel. All images taken by optical microscopy per five minutes. The experiments took in avarage 4-5 days. The published data is the raw images of the experiments. The images names were related to the timestamps as...
Dec 20, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures", https://doi.org/10.18419/DARUS-4313, DaRUS, V2
Content: This data set includes snapshots of the code used to compute the benchmarks and applications in Krach et al.(2024). All software tools provided enable the user to perform pseudo-3D Stokes simulations with a geometry-informed drag term using DuMux and to determine permeability, volumetric flux as well as local pressure and velocity fields f...
Nov 19, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures", https://doi.org/10.18419/DARUS-4347, DaRUS, V1
Content: This data set includes all the necessary input data to fully replicate the benchmarks and applications in Krach et al.(2024). In addition, the results for all solvers are provided as raw simulation output as well as in condense form. Complete datasets: 01_CYLINDER, 02_SINGLE_PRECIPITATE, 03_SEGMENT1, 04_SEGMENT2, 05_SEGMENT3 Each data set...
Feb 13, 2023
Keim, Leon; Class, Holger; Schirmer, Larissa; Strauch, Bettina; Wendel, Kai; Zimmer, Martin, 2023, "Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column", https://doi.org/10.18419/DARUS-3276, DaRUS, V1
This dataset contains the DuMux code for the simulations in https://doi.org/10.3390/geosciences13020051 For the detailed list of software used, please have a look at the file install_class2023.sh. To run the simulations at your own computer, please conduct the following steps: Install docker for example in ubuntu . Make sure you can run docker with...
Feb 13, 2023
Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin, 2023, "Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022.", https://doi.org/10.18419/DARUS-3271, DaRUS, V1
This dataset contains data generated during the measurement campaign inside the karst cave. The CO2 sensors in the cave air will continue to measure (as of Feb. 2023). For details on the site etc. see https://doi.org/10.3390/geosciences13020051 To create the graphs in the Class et al. 2023 Download cave-data.tar.xz, make sure you have the dependenc...
Feb 7, 2023 - Summerschool2021_4D_EICP
Lee, Dongwon; Weinhardt, Felix; Hommel, Johannes; Class, Holger; Steeb, Holger, 2023, "Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns", https://doi.org/10.18419/DARUS-2227, DaRUS, V1
The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted experiments. The experiment was performed on two Borosillicates Glass beads Columns (BGC). The images were taken with so called "Low-dose" strategy by minimizing the exposure time...
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.