DaRUS

Metrics

3,772,005 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

license: CC BY 4.0

681 to 690 of 732 Results

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.
Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Dyballa Dec 28, 2020 - SFB 1333 C1 - Dyballa group, ITC Dyballa, Michael, 2020, "Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Dyballa", https://doi.org/10.18419/DARUS-1166, DaRUS, V1 Solid state NMR data for the immobilized catalyst. Primary data files and processed data of the journal article from the Dyballa group.
Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Buchmeiser Dec 23, 2020 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF Ziegler, Felix, 2020, "Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Buchmeiser", https://doi.org/10.18419/DARUS-832, DaRUS, V1 This paper addresses the synthesis of macrocyclic molecules by a spatial confinement effect in SBA-15. Various aspects such as concentration dependence, substrate size and temperature dependence have been discussed. In the attached data you will find all NMR spectra of the performed reactions as well as the sorption measurements, ICP analyses, elem...
Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model Dec 15, 2020 - Publications Tapia Camú, Cristóbal; Aicher, Simon, 2020, "Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model", https://doi.org/10.18419/DARUS-863, DaRUS, V2, UNF:6:3jJ2Tj1s/C8WfiVWORPRtw== [fileUNF] This repository contains the global and localized data gathered for a set of 52 oak boards with a cross-section of 175 x 24 mm. Modulus of elasticity, density and knot information were recorded.
Data from "Extremely Small Twist Elastic Constants in Lyotropic Nematic Liquid Crystals" Oct 1, 2020 - Giesselmann group Dietrich, Clarissa; Collings, Peter J.; Sottmann, Thomas; Rudquist, Per; Giesselmann, Frank, 2020, "Data from "Extremely Small Twist Elastic Constants in Lyotropic Nematic Liquid Crystals"", https://doi.org/10.18419/DARUS-746, DaRUS, V1 Depolarized dynamic light scattering (DDLS) data, fit routine & fitting results
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-phase flow in three-dimensional fractured porous media, arXiv e-prints,...
Deep enzymology data related to Dukatz et al.: Complex DNA sequence readout mechanisms of the DNMT3B DNA methyltransferase. Sep 1, 2020 - Amplicon based bisulfite NGS data Jeltsch, Albert; Bashtrykov, Pavel; Dukatz, Michael; Adam, Sabrina, 2020, "Deep enzymology data related to Dukatz et al.: Complex DNA sequence readout mechanisms of the DNMT3B DNA methyltransferase.", https://doi.org/10.18419/DARUS-815, DaRUS, V3 Experimental procedures: Libraries of double stranded DNA substrates with CpG, CpH or CpN sites in randomized sequence context were methlyated by DNMT3B. Reactions were stopped by shock freezing in liquid nitrogen, then treated with proteinase K for 2 hours. Afterwards, the DNA was digested with the BsaI-HFv2 enzyme and a hairpin was ligated using...
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...

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.

Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Dyballa

Dec 28, 2020 - SFB 1333 C1 - Dyballa group, ITC

Dyballa, Michael, 2020, "Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Dyballa", https://doi.org/10.18419/DARUS-1166, DaRUS, V1

Solid state NMR data for the immobilized catalyst. Primary data files and processed data of the journal article from the Dyballa group.

Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Buchmeiser

Dec 23, 2020 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF

Ziegler, Felix, 2020, "Olefin Metathesis in Confined Geometries: A Biomimetic Approach toward Selective Macrocyclization Data Buchmeiser", https://doi.org/10.18419/DARUS-832, DaRUS, V1

This paper addresses the synthesis of macrocyclic molecules by a spatial confinement effect in SBA-15. Various aspects such as concentration dependence, substrate size and temperature dependence have been discussed. In the attached data you will find all NMR spectra of the performed reactions as well as the sorption measurements, ICP analyses, elem...

Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model

Dec 15, 2020 - Publications

Tapia Camú, Cristóbal; Aicher, Simon, 2020, "Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model", https://doi.org/10.18419/DARUS-863, DaRUS, V2, UNF:6:3jJ2Tj1s/C8WfiVWORPRtw== [fileUNF]

This repository contains the global and localized data gathered for a set of 52 oak boards with a cross-section of 175 x 24 mm. Modulus of elasticity, density and knot information were recorded.

Data from "Extremely Small Twist Elastic Constants in Lyotropic Nematic Liquid Crystals"

Oct 1, 2020 - Giesselmann group

Dietrich, Clarissa; Collings, Peter J.; Sottmann, Thomas; Rudquist, Per; Giesselmann, Frank, 2020, "Data from "Extremely Small Twist Elastic Constants in Lyotropic Nematic Liquid Crystals"", https://doi.org/10.18419/DARUS-746, DaRUS, V1

Depolarized dynamic light scattering (DDLS) data, fit routine & fitting results

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-phase flow in three-dimensional fractured porous media, arXiv e-prints,...

Deep enzymology data related to Dukatz et al.: Complex DNA sequence readout mechanisms of the DNMT3B DNA methyltransferase.

Sep 1, 2020 - Amplicon based bisulfite NGS data

Jeltsch, Albert; Bashtrykov, Pavel; Dukatz, Michael; Adam, Sabrina, 2020, "Deep enzymology data related to Dukatz et al.: Complex DNA sequence readout mechanisms of the DNMT3B DNA methyltransferase.", https://doi.org/10.18419/DARUS-815, DaRUS, V3

Experimental procedures: Libraries of double stranded DNA substrates with CpG, CpH or CpN sites in randomized sequence context were methlyated by DNMT3B. Reactions were stopped by shock freezing in liquid nitrogen, then treated with proteinase K for 2 hours. Afterwards, the DNA was digested with the BsaI-HFv2 enzyme and a hairpin was ligated using...

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...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications