DaRUS

Metrics

4,443,335 Downloads

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"

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.

261 to 270 of 3,174 Results

Environmental Hydraulics(Universität Stuttgart) Feb 23, 2026Hydraulic Engineering and Water Resources Management (IWS-LWW)
Hydraulic Engineering and Water Resources Management (IWS-LWW)(Universität Stuttgart) Feb 23, 2026Institute for Modelling Hydraulic and Environmental Systems (IWS)
Chair for Transport Planning and Traffic Engineering(Universität Stuttgart) Feb 23, 2026Institute of Road and Transport Science
Institute of Road and Transport Science(Universität Stuttgart) Feb 23, 2026
EXC IntCDC Associated Project 36 'Development of Self-Forming Curved Wood Furniture'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Feb 20, 2026Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC) AP36: Material driven computational design and manufacturing for self-forming curved wood furniture
Opossum Feb 20, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design' Zorn, Max Benjamin; Paule, Robin; Akbar, Zuardin; Wortmann, Thomas, 2026, "Opossum", https://doi.org/10.18419/DARUS-5685, DaRUS, V1 Opossum Opossum is an optimization plug-in for Grasshopper (for Rhino) that implements model-based and evolutionary optimization algorithms for single- and multi-objective problems. The plugin integrates GUI components into Grasshopper to configure runs, visualize results, and persist optimizer state inside Grasshopper documents. This repository co...
Replication Data for: "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy" Feb 20, 2026 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings" Dennig, Frederik L.; Keim, Daniel, 2026, "Replication Data for: "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy"", https://doi.org/10.18419/DARUS-5258, DaRUS, V1 This is the replication data for our paper "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy", allowing additional analysis and experiments. The files, per file, below. It includes the experiment data and source code. For details on the usage, please refer to the README.md...
Data for: Hydrogen diffusion in TiCr2Hx Laves phases: A combined ab initio and machine-learning-potential study Feb 20, 2026 - Materials Design Kumar, Pranav; Körmann, Fritz; Edalati, Kaveh; Grabowski, Blazej; Ikeda, Yuji, 2026, "Data for: Hydrogen diffusion in TiCr2Hx Laves phases: A combined ab initio and machine-learning-potential study", https://doi.org/10.18419/DARUS-5544, DaRUS, V1 This dataset supports the development and validation of machine learning interatomic potentials (MLIPs) for modeling hydrogen diffusion in C14 (hexagonal) and C15 (cubic) TiCr₂-based Laves phases. It includes fitted moment tensor potentials (Level 16) and the corresponding training dataset. The data is organized into two directories: Training_db/,...
Coupling MRI and XRCT to resolve structure–transport evolution during enzyme-induced calcite precipitation at the REV scale Feb 20, 2026 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media Emadi, Samira, 2026, "Coupling MRI and XRCT to resolve structure–transport evolution during enzyme-induced calcite precipitation at the REV scale", https://doi.org/10.18419/DARUS-5650, DaRUS, V1 This dataset supports the study of enzyme-induced calcite precipitation (EICP) in saturated sand columns under constant flow injection. The experiments investigate how CaCO3 precipitation alters pore structure, transport properties, and permeability at the representative elementary volume (REV) scale. The dataset combines magnetic resonance imaging...
Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES Feb 19, 2026 - PN 5-13 Duvenbeck, Lennart; Riethmüller, Cedric; Rohde, Christian, 2025, "Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES", https://doi.org/10.18419/DARUS-4812, DaRUS, V2 This repository contains the Matlab code and generated data for the manuscript "Data-driven geometric parameter optimization for PD-GMRES" which uses a quadtree approach to optimize parameters for the iterative solver PD-GMRES. It includes hardware specific data to allow for reproducibity of our results. Our calculations were performed using MATLAB...

Environmental Hydraulics(Universität Stuttgart)

Feb 23, 2026Hydraulic Engineering and Water Resources Management (IWS-LWW)

Hydraulic Engineering and Water Resources Management (IWS-LWW)(Universität Stuttgart)

Feb 23, 2026Institute for Modelling Hydraulic and Environmental Systems (IWS)

Chair for Transport Planning and Traffic Engineering(Universität Stuttgart)

Feb 23, 2026Institute of Road and Transport Science

Institute of Road and Transport Science(Universität Stuttgart)

Feb 23, 2026

EXC IntCDC Associated Project 36 'Development of Self-Forming Curved Wood Furniture'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Feb 20, 2026Cluster of Excellence Integrative Computational Design and Construction for Transformative Architecture (EXC IntCDC)

AP36: Material driven computational design and manufacturing for self-forming curved wood furniture

Opossum

Feb 20, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'

Zorn, Max Benjamin; Paule, Robin; Akbar, Zuardin; Wortmann, Thomas, 2026, "Opossum", https://doi.org/10.18419/DARUS-5685, DaRUS, V1

Opossum Opossum is an optimization plug-in for Grasshopper (for Rhino) that implements model-based and evolutionary optimization algorithms for single- and multi-objective problems. The plugin integrates GUI components into Grasshopper to configure runs, visualize results, and persist optimizer state inside Grasshopper documents. This repository co...

Replication Data for: "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy"

Feb 20, 2026 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"

Dennig, Frederik L.; Keim, Daniel, 2026, "Replication Data for: "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy"", https://doi.org/10.18419/DARUS-5258, DaRUS, V1

This is the replication data for our paper "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy", allowing additional analysis and experiments. The files, per file, below. It includes the experiment data and source code. For details on the usage, please refer to the README.md...

Data for: Hydrogen diffusion in TiCr2Hx Laves phases: A combined ab initio and machine-learning-potential study

Feb 20, 2026 - Materials Design

Kumar, Pranav; Körmann, Fritz; Edalati, Kaveh; Grabowski, Blazej; Ikeda, Yuji, 2026, "Data for: Hydrogen diffusion in TiCr2Hx Laves phases: A combined ab initio and machine-learning-potential study", https://doi.org/10.18419/DARUS-5544, DaRUS, V1

This dataset supports the development and validation of machine learning interatomic potentials (MLIPs) for modeling hydrogen diffusion in C14 (hexagonal) and C15 (cubic) TiCr₂-based Laves phases. It includes fitted moment tensor potentials (Level 16) and the corresponding training dataset. The data is organized into two directories: Training_db/,...

Coupling MRI and XRCT to resolve structure–transport evolution during enzyme-induced calcite precipitation at the REV scale

Feb 20, 2026 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media

Emadi, Samira, 2026, "Coupling MRI and XRCT to resolve structure–transport evolution during enzyme-induced calcite precipitation at the REV scale", https://doi.org/10.18419/DARUS-5650, DaRUS, V1

This dataset supports the study of enzyme-induced calcite precipitation (EICP) in saturated sand columns under constant flow injection. The experiments investigate how CaCO3 precipitation alters pore structure, transport properties, and permeability at the representative elementary volume (REV) scale. The dataset combines magnetic resonance imaging...

Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES

Feb 19, 2026 - PN 5-13

Duvenbeck, Lennart; Riethmüller, Cedric; Rohde, Christian, 2025, "Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES", https://doi.org/10.18419/DARUS-4812, DaRUS, V2

This repository contains the Matlab code and generated data for the manuscript "Data-driven geometric parameter optimization for PD-GMRES" which uses a quadtree approach to optimize parameters for the iterative solver PD-GMRES. It includes hardware specific data to allow for reproducibity of our results. Our calculations were performed using MATLAB...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications