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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141 to 150 of 3,058 Results

Precipitable Water Vapor Tables from ECMWF ERA5 Re-Analysis for SOFIA FIFI-LS Flights Feb 23, 2026 - SOFIA Astronomy Data SOFIA Data Center, 2026, "Precipitable Water Vapor Tables from ECMWF ERA5 Re-Analysis for SOFIA FIFI-LS Flights", https://doi.org/10.18419/DARUS-5728, DaRUS, V1 SOFIA Precipitable Water Vapor (PWV) Products for all flights with FIFI-LS between the year 2014 and 2022. Each FITS file contains a HDU "DATA", which is a binary table extension with columns for Precipitable Water Vapor (PWV), Longitude, Latitude and Atmospheric Pressure as a function of in-flight time. The source for positional data is the primar...
TRANSFER Danube(Universität Stuttgart) Feb 23, 2026Environmental Hydraulics This dataverse contains large datasets produced and used within the European TRANSFER Danube Interreg Project. Background information is available at https://interreg-danube.eu/projects/transfer-danube
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 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/,...

Precipitable Water Vapor Tables from ECMWF ERA5 Re-Analysis for SOFIA FIFI-LS Flights

Feb 23, 2026 - SOFIA Astronomy Data

SOFIA Data Center, 2026, "Precipitable Water Vapor Tables from ECMWF ERA5 Re-Analysis for SOFIA FIFI-LS Flights", https://doi.org/10.18419/DARUS-5728, DaRUS, V1

SOFIA Precipitable Water Vapor (PWV) Products for all flights with FIFI-LS between the year 2014 and 2022. Each FITS file contains a HDU "DATA", which is a binary table extension with columns for Precipitable Water Vapor (PWV), Longitude, Latitude and Atmospheric Pressure as a function of in-flight time. The source for positional data is the primar...

TRANSFER Danube(Universität Stuttgart)

Feb 23, 2026Environmental Hydraulics

This dataverse contains large datasets produced and used within the European TRANSFER Danube Interreg Project. Background information is available at https://interreg-danube.eu/projects/transfer-danube

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 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/,...

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