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1 to 10 of 10 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...
Jun 29, 2022 - Publication: Microfluidic experiments
Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2022, "Data for: Experimental Evaluation of Connectivity in Two-phase Flow in Porous Media during Drainage", https://doi.org/10.18419/darus-2250, DaRUS, V1, UNF:6:LEbgZwpIspjSG+AWpLIGmw== [fileUNF]
With the use of optical microscopy, microfluidic experiments take place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, three of which are shared here. This dataset contains the data presented in the related publication...
Mar 30, 2022 - Publication: Spatio-temporal distribution of precipitates and mineral phase transition during biomineralization affect porosity-permeability relationships
Weinhardt, Felix; Deng, Jingxuan; Steeb, Holger; Class, Holger, 2022, "Optical Microscopy and log data of Enzymatically Induced Calcite Precipitation (EICP) in microfluidic cells (Quasi-2D-structure)", https://doi.org/10.18419/darus-1799, DaRUS, V1
Content: This dataset includes raw as well as processed data from three experiments (Quasi-2D-1, Quasi-2D-2 and Quasi-2D-3). Each dataset consists of the readouts from the pressure sensor(s), as logged with the use of QmixElements ([Name of Experiment]_logFiles_QMIX), raw images...
Jan 2, 2022 - ParkCast
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...
Dec 2, 2021 - Density-driven dissolution of CO2 in karst water
Class, Holger; Bürkle, Pascal; Trötschler, Oliver; Zimmer, Martin; Strauch, Bettina, 2021, "Data for: On the role of density-driven dissolution of CO2 in karstification", https://doi.org/10.18419/darus-2040, DaRUS, V1, UNF:6:MLmw+UrdmPEjg9Db5HtPDw== [fileUNF]
Summary: Data of the "density-driven dissolution of CO2 in karst water" column experiment. A laboratory column was filled with tapwater (water level 5,55 m) and exposed it to an elevated gaseous CO2-concentration, roughly 50 times the current atmospheric concentration (20000 +/-...
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...
Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling
Fauser, Dominik; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle", https://doi.org/10.18419/darus-2023, DaRUS, V1, UNF:6:kJCrJ2myXSEklpfIfr7AfQ== [fileUNF]
This data contains a Thermal Humid Mechanical Cycle (THMC) of Shape Memory Polymers (SMP). The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Geldermarsen, Netherlands)....
Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling
Fauser, Dominik; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis", https://doi.org/10.18419/darus-2021, DaRUS, V1, UNF:6:YC87IXxORCLw3+woYmYT3A== [fileUNF]
This data contains iso-thermal and iso-humid shear frequency-sweep measurements of Shape Memory Polymers (SMP). The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Gelderm...
Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling
Fauser, Dominik; Kuhn, Moritz; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Diffusion measurements", https://doi.org/10.18419/darus-2024, DaRUS, V1, UNF:6:ig+5CuLNRHaoCQtncwbvWA== [fileUNF]
This data contains diffusion measurements of Shape Memory Polymers (SMP) immersed in demineralized water. The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Geldermarsen,...
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...
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