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Metadata Source: DaRUS

2,551 to 2,560 of 2,669 Results

Materials Testing Institute(Universität Stuttgart) Jul 31, 2020
Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" Jul 31, 2020 - Emmert2020a Emmert, Simon; Class, Holger; Davis, Katherine; Gerlach, Robin, 2020, "Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"", https://doi.org/10.18419/DARUS-636, DaRUS, V1, UNF:6:etoZeSymT82caAlH+cVtVA== [fileUNF] This contains the generated DuMuX model output (VTK files), extracted output (Python script) and plots (png) for the publication "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" in International Journal of Coal Geology (Doi: https://doi.org/10.1016/j.coal.2020.103567)
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.
Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-633, DaRUS, V1 This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs necessary for training, validating, and testing the ANN. The input data...
Benchmarks(Universität Stuttgart) Jul 9, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"
SFB/Transregio 161 Data Management Plan 2019-2023 Jul 8, 2020 - SFB-TRR 161 INF "Collaboration Infrastructure" Müller, Christoph, 2020, "SFB/Transregio 161 Data Management Plan 2019-2023", https://doi.org/10.18419/DARUS-632, DaRUS, V1 The participating universities in SFB/Transregio 161 acknowledge the general importance of research data management as a vital issue for all of their work and provide increasing central support for long-term accessibility and reusability of data, documentation of methods and tools and privacy protection. However, technical and organisational offeri...
micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C Jun 22, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C", https://doi.org/10.18419/DARUS-682, DaRUS, V1 micro-XRCT data set (projection and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm which was before subjected to following thermal treatment to initiate cracks: Starting at room temperature (20°C) t...
micro-XRCT data set of an in-situ flow experiment with an X-ray transparent flow cell Jun 22, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of an in-situ flow experiment with an X-ray transparent flow cell", https://doi.org/10.18419/DARUS-691, DaRUS, V1 Micro-XRCT data sets (projection and reconstructed images) of an in-situ experiment with an X-ray transparent flow cell. As a porous medium, a 3 mm cylindrical sandstone core from the County of Bentheim was investigated. The conceptual design of the cell was presented in Fusseis et al. (2014) and offers the possibility to apply a confining and back...
micro-XRCT data set of Carrara marble with artificially created crack network: slow cooling down from 600°C Jun 22, 2020 - Publication: Crystalline rocks Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of Carrara marble with artificially created crack network: slow cooling down from 600°C", https://doi.org/10.18419/DARUS-754, DaRUS, V1 micro-XRCT data set (projections and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm which was before subjected to following thermal treatment to initiate cracks: Starting at room temperature (20°C),...
Publication: Crystalline rocks(Universität Stuttgart) Jun 22, 2020Publications This dataverse includes research data based on investigations of crystalline rocks.

Materials Testing Institute(Universität Stuttgart)

Jul 31, 2020

Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"

Jul 31, 2020 - Emmert2020a

Emmert, Simon; Class, Holger; Davis, Katherine; Gerlach, Robin, 2020, "Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"", https://doi.org/10.18419/DARUS-636, DaRUS, V1, UNF:6:etoZeSymT82caAlH+cVtVA== [fileUNF]

This contains the generated DuMuX model output (VTK files), extracted output (Python script) and plots (png) for the publication "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" in International Journal of Coal Geology (Doi: https://doi.org/10.1016/j.coal.2020.103567)

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.

Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-633, DaRUS, V1

This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs necessary for training, validating, and testing the ANN. The input data...

Benchmarks(Universität Stuttgart)

Jul 9, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SFB/Transregio 161 Data Management Plan 2019-2023

Jul 8, 2020 - SFB-TRR 161 INF "Collaboration Infrastructure"

Müller, Christoph, 2020, "SFB/Transregio 161 Data Management Plan 2019-2023", https://doi.org/10.18419/DARUS-632, DaRUS, V1

The participating universities in SFB/Transregio 161 acknowledge the general importance of research data management as a vital issue for all of their work and provide increasing central support for long-term accessibility and reusability of data, documentation of methods and tools and privacy protection. However, technical and organisational offeri...

micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C

Jun 22, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research

Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 600°C", https://doi.org/10.18419/DARUS-682, DaRUS, V1

micro-XRCT data set (projection and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm which was before subjected to following thermal treatment to initiate cracks: Starting at room temperature (20°C) t...

micro-XRCT data set of an in-situ flow experiment with an X-ray transparent flow cell

Jun 22, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research

Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of an in-situ flow experiment with an X-ray transparent flow cell", https://doi.org/10.18419/DARUS-691, DaRUS, V1

Micro-XRCT data sets (projection and reconstructed images) of an in-situ experiment with an X-ray transparent flow cell. As a porous medium, a 3 mm cylindrical sandstone core from the County of Bentheim was investigated. The conceptual design of the cell was presented in Fusseis et al. (2014) and offers the possibility to apply a confining and back...

micro-XRCT data set of Carrara marble with artificially created crack network: slow cooling down from 600°C

Jun 22, 2020 - Publication: Crystalline rocks

Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of Carrara marble with artificially created crack network: slow cooling down from 600°C", https://doi.org/10.18419/DARUS-754, DaRUS, V1

micro-XRCT data set (projections and reconstructed images) of a Carrara marble core with a diameter of 5 mm. The sample was extracted with a water-cooled diamond drill from a bigger sample with a diameter of 30 mm and a length of 80 mm which was before subjected to following thermal treatment to initiate cracks: Starting at room temperature (20°C),...

Publication: Crystalline rocks(Universität Stuttgart)

Jun 22, 2020Publications

This dataverse includes research data based on investigations of crystalline rocks.

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