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Subject: Earth and Environmental Sciences Deposit Date: 2020

1 to 9 of 9 Results

Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis May 14, 2021 - Institute of Geodesy Yi, Shuang; Sneeuw, Nico, 2021, "Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis", https://doi.org/10.18419/darus-807, DaRUS, V1 Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) mission greatly inhibit the complete analysis and full utilization of the data. Despite previous attempts to handle this p...
micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell Mar 11, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell Vahid Dastjerdi, Samaneh; Steeb, Holger; Ruf, Matthias; Lee, Dongwon; Weinhardt, Felix; Karadimitriou, Nikolaos; Class, Holger, 2021, "micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/darus-866, DaRUS, V1 micro-XRCT dataset (projection and reconstructed images) based on a region of interest scan (diameter 12.49 mm, height 9.09 mm) of a microfluidic cell including calcium carbonate aggregates along with the processed dataset (cropped, transformed and binarized).
Optical Microscopy and pressure measurements of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell Feb 10, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell Weinhardt, Felix; Class, Holger; Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2021, "Optical Microscopy and pressure measurements of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/darus-818, DaRUS, V1 Content: This dataset includes raw as well as processed data from three experiments (Exp 1 - 3). Each dataset consists of the readouts from the pressure sensor(s), as logged with the use of QmixElements, raw images, and segmented images. Log files: Data in the log files are essen...
High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain Jan 13, 2021 - Microscale analysis Weishaupt, Kilian, 2021, "High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain", https://doi.org/10.18419/darus-782, DaRUS, V1 3D numerical reference for the setup described in https://doi.org/10.1063/1.5092169.
Case1 - Single Fracture Sep 2, 2020 - Verification benchmarks for single-phase flow in three-dimensional fractured porous media Gläser, Dennis, 2020, "Case1 - Single Fracture", https://doi.org/10.18419/darus-862, DaRUS, V1, UNF:6:103YE3NiQa3v4NNImuR2yg== [fileUNF] This dataset contains results related to the benchmark case 1 as described in detail 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-ph...
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 Jour...
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 ne...
Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/darus-741, DaRUS, V1 This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset be...

Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis

May 14, 2021 - Institute of Geodesy

Yi, Shuang; Sneeuw, Nico, 2021, "Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis", https://doi.org/10.18419/darus-807, DaRUS, V1

Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) mission greatly inhibit the complete analysis and full utilization of the data. Despite previous attempts to handle this p...

micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell

Mar 11, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell

Vahid Dastjerdi, Samaneh; Steeb, Holger; Ruf, Matthias; Lee, Dongwon; Weinhardt, Felix; Karadimitriou, Nikolaos; Class, Holger, 2021, "micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/darus-866, DaRUS, V1

micro-XRCT dataset (projection and reconstructed images) based on a region of interest scan (diameter 12.49 mm, height 9.09 mm) of a microfluidic cell including calcium carbonate aggregates along with the processed dataset (cropped, transformed and binarized).

Optical Microscopy and pressure measurements of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell

Feb 10, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell

Weinhardt, Felix; Class, Holger; Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2021, "Optical Microscopy and pressure measurements of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/darus-818, DaRUS, V1

Content: This dataset includes raw as well as processed data from three experiments (Exp 1 - 3). Each dataset consists of the readouts from the pressure sensor(s), as logged with the use of QmixElements, raw images, and segmented images. Log files: Data in the log files are essen...

High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain

Jan 13, 2021 - Microscale analysis

Weishaupt, Kilian, 2021, "High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain", https://doi.org/10.18419/darus-782, DaRUS, V1

3D numerical reference for the setup described in https://doi.org/10.1063/1.5092169.

Case1 - Single Fracture

Sep 2, 2020 - Verification benchmarks for single-phase flow in three-dimensional fractured porous media

Gläser, Dennis, 2020, "Case1 - Single Fracture", https://doi.org/10.18419/darus-862, DaRUS, V1, UNF:6:103YE3NiQa3v4NNImuR2yg== [fileUNF]

This dataset contains results related to the benchmark case 1 as described in detail 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-ph...

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 Jour...

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 ne...

Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC

May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation

Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/darus-741, DaRUS, V1

This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset be...

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