DaRUS

Metrics

1,088,051 Downloads

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.

Subject: Earth and Environmental Sciences

1 to 10 of 192 Results

Visual characterization of displacement processes in porous media Aug 4, 2023 - Publication: Microfluidic experiments Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2023, "Visual characterization of displacement processes in porous media", https://doi.org/10.18419/darus-3615, DaRUS, V1 This dataset correlates to the submitted article to IEEE VIS 2023, entitled “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs”, by Straub et al. 2023. More specifically, this data set is the one used to create the graphs shown in all Fig...
Verification benchmarks for single-phase flow in three-dimensional fractured porous media: DuMuX source code Feb 2, 2023 - SusI Final Workshop Gläser, Dennis; Seeland, Anett; Schulze, Katharina; Burbulla, Samuel, 2023, "Verification benchmarks for single-phase flow in three-dimensional fractured porous media: DuMuX source code", https://doi.org/10.18419/darus-3228, DaRUS, V1 This dataset contains the source code for simulating the benchmark cases of Berre et al. (2021) with the open-source simulator DuMuX. The benchmarks focus on flow and transport through fractured porous media, considering fracture networks of varying complexity. The code in this d...
Verification benchmarks for single-phase flow in three-dimensional fractured porous media(Universität Stuttgart) Aug 19, 2020Benchmarks Contains numerical results related to the benchmark cases defined in the publication: I. Berre, W. Boon, B. Flemisch, A. Fumagalli, D. Gläser, E. Keilegavlen, A. Scotti, I. Stefansson, and A. Tatomir. Call for participation: Verification benchmarks for single-phase flow in three-...
VEGAS(Universität Stuttgart) Jun 22, 2023Institute for Modelling Hydraulic and Environmental Systems (IWS)
Upscaled equations for two-phase flow in highly heterogeneous porous media: Varying permeability and porosity(Universität Stuttgart) Feb 23, 2021A05: Pore scale formulations for evaporation, and upscaling to REV scale
Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1 This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.
Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns 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 ta...
tBME project(Universität Stuttgart) Nov 23, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3) tBME project
SWE(Universität Stuttgart) Jan 17, 2020Institute of Aircraft Design
SusI Final Workshop(Universität Stuttgart) Sep 26, 2022Institute for Modelling Hydraulic and Environmental Systems (IWS)

Visual characterization of displacement processes in porous media

Aug 4, 2023 - Publication: Microfluidic experiments

Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2023, "Visual characterization of displacement processes in porous media", https://doi.org/10.18419/darus-3615, DaRUS, V1

This dataset correlates to the submitted article to IEEE VIS 2023, entitled “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs”, by Straub et al. 2023. More specifically, this data set is the one used to create the graphs shown in all Fig...

Verification benchmarks for single-phase flow in three-dimensional fractured porous media: DuMuX source code

Feb 2, 2023 - SusI Final Workshop

Gläser, Dennis; Seeland, Anett; Schulze, Katharina; Burbulla, Samuel, 2023, "Verification benchmarks for single-phase flow in three-dimensional fractured porous media: DuMuX source code", https://doi.org/10.18419/darus-3228, DaRUS, V1

This dataset contains the source code for simulating the benchmark cases of Berre et al. (2021) with the open-source simulator DuMuX. The benchmarks focus on flow and transport through fractured porous media, considering fracture networks of varying complexity. The code in this d...

Verification benchmarks for single-phase flow in three-dimensional fractured porous media(Universität Stuttgart)

Aug 19, 2020Benchmarks

Contains numerical results related to the benchmark cases defined in the publication: I. Berre, W. Boon, B. Flemisch, A. Fumagalli, D. Gläser, E. Keilegavlen, A. Scotti, I. Stefansson, and A. Tatomir. Call for participation: Verification benchmarks for single-phase flow in three-...

VEGAS(Universität Stuttgart)

Jun 22, 2023Institute for Modelling Hydraulic and Environmental Systems (IWS)

Upscaled equations for two-phase flow in highly heterogeneous porous media: Varying permeability and porosity(Universität Stuttgart)

Feb 23, 2021A05: Pore scale formulations for evaporation, and upscaling to REV scale

Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1

This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.

Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns

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 ta...

tBME project(Universität Stuttgart)

Nov 23, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3)

tBME project

SWE(Universität Stuttgart)

Jan 17, 2020Institute of Aircraft Design

SusI Final Workshop(Universität Stuttgart)

Sep 26, 2022Institute for Modelling Hydraulic and Environmental Systems (IWS)

Add Data

Share Dataverse

Link Dataverse

Reset Modifications