1 to 10 of 23 Results
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... |
May 18, 2021 - Dual-network model
Müller, Johannes; Koch, Timo; Weishaupt, Kilian, 2021, "Setup and Data for: 3D conjugate heat transfer simulation in a Berea sandstone sample", https://doi.org/10.18419/darus-1806, DaRUS, V1
This Dataset contains the fluid and solid temperature fields used as reference in the Related Publication (doi:10.1007/s11242-021-01602-5). It results from a 3D conjugate heat transfer simulation of a Berea sandstone sample. The Mesh was extracted from an CT-image provided by Don... |
Würth, Ines; Wigger, Maayen; Berlinger, Philipp, 2022, "Scanning wind lidar dataset from the alpha ventus wind farm", https://doi.org/10.18419/darus-2298, DaRUS, V1
In the nationally funded project ParkCast new methods for short-term power prediction for offshore wind farms will be developed, optimized and evaluated. The power forecasts focus on the time range up to 60 minutes with high temporal resolution. The aim is to significantly improv... |
Jun 24, 2021 - CAMPOS Project P8: Conceptual Model Uncertainty
Gonzalez-Nicolas Alvarez, Ana, 2021, "Sampling Strategies of the Regime-and-memory model (RMM)", https://doi.org/10.18419/darus-2035, DaRUS, V1, UNF:6:JeAvfovoq369qtbASSmQjg== [fileUNF]
This excel file includes the observation time, Q, concentration, and lag-time used by the sampling strategies. Types of sampling strategies: Time frequency sampling strategies. River discharge frequency sampling strategies. Low Q sampling strategies. High Q sampling strategies. L... |
Mar 22, 2021 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media
Piotrowski, Joseph; Huisman, Johan Alexander, 2021, "Sample, Evaporation, and Crust Data of NaCl, MgSO4, and Na2SO4 solutions from F32 Quartz Sand", https://doi.org/10.18419/darus-1642, DaRUS, V1, UNF:6:L1vcdYV8IHGNC1L+uLc2/A== [fileUNF]
The data set contains one excel file for each salt type (NaCl, MgSO4, and Na2SO4) with data from evaporation experiments and additional sample analysis. Each file has six sheets: 1. Sample properties (i.e. dimensions, effective properties, weight,...) 2. Evaporation (i.e. mass lo... |
Oct 8, 2021 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media
Piotrowski, Joseph; Huisman, Johan Alexander, 2021, "Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration", https://doi.org/10.18419/darus-1861, DaRUS, V2, UNF:6:xYGrTts04RzpxXSLpfQHTA== [fileUNF]
The dataset contains data from evaporation of magnesium sulfate solution with an initial concentration of 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L from F32 quartz sand. Additionally, pressure measurement of the separated and dried crusts from 40%, 30%, and 20(25)% saturation inside... |
Mar 25, 2021 - Partitioned Coupling Schemes for Free-Flow and Porous-Media Applications with Sharp Interfaces
Jaust, Alexander; Weishaupt, Kilian; Flemisch, Bernd; Schulte, Miriam, 2021, "Replication Data for: Partitioned Coupling Schemes for Free-Flow and Porous-Media Applications with Sharp Interfaces", https://doi.org/10.18419/darus-1644, DaRUS, V1
This repository contains simulation data used in https://doi.org/10.1007/978-3-030-43651-3_57 including the scripts for determining the errors presented in the publication. Additional results for Navier-Stokes flow has been added. Further information on the dataset, its structure... |
Jun 18, 2021 - Modeling Strategies for Gas migration in Subsurface
Banerjee, Ishani, 2021, "Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data", https://doi.org/10.18419/darus-1776, DaRUS, V1
This dataset contains modeling data used to obtain the results and figures in the manuscript: "Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data." In particular, the model realization data a... |
Jul 6, 2021 - RootWaterUptake
Koch, Timo; Wu, Hanchuan; Schneider, Martin, 2021, "Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake", https://doi.org/10.18419/darus-2042, DaRUS, V1
This dataset contains scripts and data used to reproduce the results in the related publication (Koch et al. 2021). In detail, it contains data and scripts to show the effect of the Kirchhoff transformation for diffusion coefficients; convergence results for single and mutiple tu... |
Jun 24, 2021 - CAMPOS Project P8: Conceptual Model Uncertainty
Gonzalez-Nicolas Alvarez, Ana, 2021, "Regime-and-memory model (RMM) Code", https://doi.org/10.18419/darus-2034, DaRUS, V1
We introduce a simple stochastic time-series model (regime-and-memory model, RMM) for concentrations in the river that accounts for fluctuating release and transport with memory, using an autocorrelation over time.One explicit parameter of our model represents the export regime.... |
