DaRUS

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This is the Data Repository of the University of Stuttgart.

SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SFB 1333 "Molecular heterogeneous catalysis in confined geometries"

Institute of Biochemistry

Institute of Applied Mechanics (MIB)

Institute of Thermodynamics and Thermal Process Engineering

Stuttgart Center for Simulation Science (SC SimTech)

Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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3,311 to 3,320 of 3,486 Results

HLRS-NUM-Biomechanics(Universität Stuttgart) Feb 22, 2021High Performance Computing Center Stuttgart Dataverse for the publication of data related to the biomechanical research activities @HLRS_HPC.
High Performance Computing Center Stuttgart(Universität Stuttgart) Feb 22, 2021 This Dataverse holds open access research data from the High Performance Computing Center Stuttgart (HLRS). The different projects are organized in respective sub-Dataverses.
SFB 1333 A5 - Bill group, IMW(Universität Stuttgart) Feb 18, 2021SFB 1333 "Molecular heterogeneous catalysis in confined geometries" In this dataverse you can find all research data related to publications of the group generated within the context of CRC 1333.
IntCDC(Universität Stuttgart) Feb 18, 2021Timber Constructions This Dataverse contains the repositories with experimental data and simulation models produced within the context of the Research Project 3 of the Cluster of Excellence "Integrative Computational Design and Construction for Architecture" of the University of Stuttgart.
PN 3-1(Universität Stuttgart) Feb 15, 2021PN 3 Processing Uncertain Microstructural Data: The projects objective is to relate image-based data of stochastic microstructures to their quantities of interest. The data consists mainly of microstructure images, corresponding material properties and features deployed in machine learning.
2d microstructure data Feb 15, 2021 - Data Analytics in Engineering Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/DARUS-1151, DaRUS, V2 The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into two inclusion subclasses of circular and rectangular inclusions. Featu...
Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions' Feb 10, 2021 - Molecular Simulation Kraus, Hamzeh, 2021, "Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions'", https://doi.org/10.18419/DARUS-1170, DaRUS, V1 This dataset contains Jupiter Notebooks and the necessary structure files needed for generating the pore systems discussed in the related publication. Additionally, high-resolution figures discussed in the paper are added.
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 essentially the raw output of the software QMixElements which is used to op...
The FLAME-accelerated signalling tool (FaST) for facile parallelisation of flexible agent-based models of cell signalling Feb 8, 2021 - Software Platform Fullstone, Gavin, 2021, "The FLAME-accelerated signalling tool (FaST) for facile parallelisation of flexible agent-based models of cell signalling", https://doi.org/10.18419/DARUS-1327, DaRUS, V1 This folder contains the FaST software, as well as all the raw data and tools to replicate this study. Paper_Data.pzfx: All raw and processed data in the main figures MCell_Model.tar.gz: The MCell model used in Figure 5 FaST_Software.tar.gz: The FaST software tool. Scripts to replicate the findings of the study are enclosed in the /example folder....
The DUNE MMesh Module (Release 1.2) Feb 5, 2021 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media Burbulla, Samuel, 2021, "The DUNE MMesh Module (Release 1.2)", https://doi.org/10.18419/DARUS-1257, DaRUS, V1 The dune-mmesh module is an implementation of the DUNE grid interface that wraps CGAL triangulations in 2D and 3D. It is also capable to export a prescribed set of cell facets as a dim-1 interface grid and remesh the grid when moving this interface.

HLRS-NUM-Biomechanics(Universität Stuttgart)

Feb 22, 2021High Performance Computing Center Stuttgart

Dataverse for the publication of data related to the biomechanical research activities @HLRS_HPC.

High Performance Computing Center Stuttgart(Universität Stuttgart)

Feb 22, 2021

This Dataverse holds open access research data from the High Performance Computing Center Stuttgart (HLRS). The different projects are organized in respective sub-Dataverses.

SFB 1333 A5 - Bill group, IMW(Universität Stuttgart)

Feb 18, 2021SFB 1333 "Molecular heterogeneous catalysis in confined geometries"

In this dataverse you can find all research data related to publications of the group generated within the context of CRC 1333.

IntCDC(Universität Stuttgart)

Feb 18, 2021Timber Constructions

This Dataverse contains the repositories with experimental data and simulation models produced within the context of the Research Project 3 of the Cluster of Excellence "Integrative Computational Design and Construction for Architecture" of the University of Stuttgart.

PN 3-1(Universität Stuttgart)

Feb 15, 2021PN 3

Processing Uncertain Microstructural Data: The projects objective is to relate image-based data of stochastic microstructures to their quantities of interest. The data consists mainly of microstructure images, corresponding material properties and features deployed in machine learning.

2d microstructure data

Feb 15, 2021 - Data Analytics in Engineering

Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/DARUS-1151, DaRUS, V2

The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into two inclusion subclasses of circular and rectangular inclusions. Featu...

Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions'

Feb 10, 2021 - Molecular Simulation

Kraus, Hamzeh, 2021, "Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions'", https://doi.org/10.18419/DARUS-1170, DaRUS, V1

This dataset contains Jupiter Notebooks and the necessary structure files needed for generating the pore systems discussed in the related publication. Additionally, high-resolution figures discussed in the paper are added.

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 essentially the raw output of the software QMixElements which is used to op...

The FLAME-accelerated signalling tool (FaST) for facile parallelisation of flexible agent-based models of cell signalling

Feb 8, 2021 - Software Platform

Fullstone, Gavin, 2021, "The FLAME-accelerated signalling tool (FaST) for facile parallelisation of flexible agent-based models of cell signalling", https://doi.org/10.18419/DARUS-1327, DaRUS, V1

This folder contains the FaST software, as well as all the raw data and tools to replicate this study. Paper_Data.pzfx: All raw and processed data in the main figures MCell_Model.tar.gz: The MCell model used in Figure 5 FaST_Software.tar.gz: The FaST software tool. Scripts to replicate the findings of the study are enclosed in the /example folder....

The DUNE MMesh Module (Release 1.2)

Feb 5, 2021 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media

Burbulla, Samuel, 2021, "The DUNE MMesh Module (Release 1.2)", https://doi.org/10.18419/DARUS-1257, DaRUS, V1

The dune-mmesh module is an implementation of the DUNE grid interface that wraps CGAL triangulations in 2D and 3D. It is also capable to export a prescribed set of cell facets as a dim-1 interface grid and remesh the grid when moving this interface.

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