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Subject: Earth and Environmental Sciences Subject: Physics

11 to 20 of 41 Results

Data for: Experimental Evaluation of Fluid Connectivity in Two-phase Flow in Porous Media Aug 11, 2022 - Publication: Microfluidic experiments Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2022, "Data for: Experimental Evaluation of Fluid Connectivity in Two-phase Flow in Porous Media", https://doi.org/10.18419/darus-2841, DaRUS, V1, UNF:6:eXAn1Zw3dv3IbpOaxBARzw== [fileUNF] With the use of optical microscopy, microfluidic experiments took place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, four of which are shared here. This Dataset contains the data presented in the related publication V...
Publication: Microfluidic experiments(Universität Stuttgart) Jun 2, 2022Publications This dataverse includes research data based on microfluidic experiments.
Replication Data for the numerical simulations in: Evaporation-driven density instabilities in saturated porous media Apr 6, 2022 - Density-driven instabilities Schollenberger, Theresa; Helmig, Rainer, 2022, "Replication Data for the numerical simulations in: Evaporation-driven density instabilities in saturated porous media", https://doi.org/10.18419/darus-2578, DaRUS, V1 This dataset contains the raw data of the results of the numerical simulations published in: Carina Bringedal, Theresa Schollenberger, G. J. M. Pieters, C. J. van Duijn and Rainer Helmig. Evaporation-driven density instabilities in saturated porous media. Transport in Porous Medi...
Density-driven instabilities(Universität Stuttgart) Mar 30, 2022C-X3 Simulation results, code and evaluation scrips for density-driven instabilities due to evaporation.
C-X3(Universität Stuttgart) Mar 30, 2022SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"
SciML PDE Benchmark(Universität Stuttgart) Mar 23, 2022Projects without PN Affiliation This is a benchmark suite of PDE simulations comprising data for testing the performance of novel simulation or emulation methods against classical simulations.
Scanning wind lidar dataset from the alpha ventus wind farm 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...
ParkCast(Universität Stuttgart) Dec 20, 2021SWE
Publication: Particulate systems(Universität Stuttgart) Nov 29, 2021Publications This dataverse includes research data based on investigations of particulate systems.
Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle 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)....

Data for: Experimental Evaluation of Fluid Connectivity in Two-phase Flow in Porous Media

Aug 11, 2022 - Publication: Microfluidic experiments

Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2022, "Data for: Experimental Evaluation of Fluid Connectivity in Two-phase Flow in Porous Media", https://doi.org/10.18419/darus-2841, DaRUS, V1, UNF:6:eXAn1Zw3dv3IbpOaxBARzw== [fileUNF]

With the use of optical microscopy, microfluidic experiments took place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, four of which are shared here. This Dataset contains the data presented in the related publication V...

Publication: Microfluidic experiments(Universität Stuttgart)

Jun 2, 2022Publications

This dataverse includes research data based on microfluidic experiments.

Replication Data for the numerical simulations in: Evaporation-driven density instabilities in saturated porous media

Apr 6, 2022 - Density-driven instabilities

Schollenberger, Theresa; Helmig, Rainer, 2022, "Replication Data for the numerical simulations in: Evaporation-driven density instabilities in saturated porous media", https://doi.org/10.18419/darus-2578, DaRUS, V1

This dataset contains the raw data of the results of the numerical simulations published in: Carina Bringedal, Theresa Schollenberger, G. J. M. Pieters, C. J. van Duijn and Rainer Helmig. Evaporation-driven density instabilities in saturated porous media. Transport in Porous Medi...

Density-driven instabilities(Universität Stuttgart)

Mar 30, 2022C-X3

Simulation results, code and evaluation scrips for density-driven instabilities due to evaporation.

C-X3(Universität Stuttgart)

Mar 30, 2022SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SciML PDE Benchmark(Universität Stuttgart)

Mar 23, 2022Projects without PN Affiliation

This is a benchmark suite of PDE simulations comprising data for testing the performance of novel simulation or emulation methods against classical simulations.

Scanning wind lidar dataset from the alpha ventus wind farm

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...

ParkCast(Universität Stuttgart)

Dec 20, 2021SWE

Publication: Particulate systems(Universität Stuttgart)

Nov 29, 2021Publications

This dataverse includes research data based on investigations of particulate systems.

Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle

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)....

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