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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1 to 10 of 3,472 Results

Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems Sep 17, 2026 - Holm group Fellner, Tobias; Merklinger, Jonas; Holm, Christian, 2026, "Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems", https://doi.org/10.18419/DARUS-6457, DaRUS, V1 The data and scripts provided here are for reproducing the results of "Multivariate quantum reservoir computing with discrete and continuous variable systems" (https://doi.org/10.48550/arXiv.2604.08427). See the README.md file for details and instructions.
Shaping Documentation of Three Self-shaping Furniture Case Studies Sep 17, 2026 - EXC IntCDC Associated Project 36 'Development of Self-Forming Curved Wood Furniture' Kiesewetter, Laura; Wood, Dylan; Menges, Achim, 2026, "Shaping Documentation of Three Self-shaping Furniture Case Studies", https://doi.org/10.18419/DARUS-6400, DaRUS, V1, UNF:6:66usg4uNWSXd9ghDhqFF4w== [fileUNF] Summary This dataset contains interval photos and metadata of the self-shaping process of three self-shaping wood furniture case studies, including time-lapse image sequences and CSV files documenting image metadata and gaps in the footage from camera-based acquisition. Dataset structure Shaping_documentation/ Case_study_C1/ Images/ Gaps_in_footage...
Real Deep Drawing and Cutting (RDDAC) Dataset Sep 15, 2026 - DFG SPP 2422 Baum, Sebastian; Heinzelmann, Pascal, 2026, "Real Deep Drawing and Cutting (RDDAC) Dataset", https://doi.org/10.18419/DARUS-5589, DaRUS, V2, UNF:6://L2Oi/0+MrVLRmISrkG3w== [fileUNF] Code, quick-start examples and full documentation: https://github.com/BaumSebastian/RDDAC. The Real Deep Drawing and Cutting (RDDAC) Dataset is the experimental counterpart to the DDACS simulation dataset. It contains physical measurements from a deep drawing and cutting process for DP600 sheet metal, captured on modified quadratic cups, and is int...
2023_DFG_aCoSi(Universität Stuttgart) Sep 15, 2026ISW Data Repository
Institute of Construction Management(Universität Stuttgart) Sep 15, 2026
Dataset of Structural and Material Systems across 240 Multi-Storey Timber Buildings: Four-Level Classification of Building Volume, Building Systems, Decks, and Connections, with Timber Use Level Sep 15, 2026 - EXC IntCDC RP 10: Co-Design from Architectural, Historical and Social Science Perspectives Svatoš-Ražnjević, Hana; Menges, Achim, 2026, "Dataset of Structural and Material Systems across 240 Multi-Storey Timber Buildings: Four-Level Classification of Building Volume, Building Systems, Decks, and Connections, with Timber Use Level", https://doi.org/10.18419/DARUS-6270, DaRUS, V1, UNF:6:46jUfsh7MmgsQvKdQziodQ== [fileUNF] This dataset contains information on 240 multi-storey timber buildings and documents their project characteristics, structural systems, material composition, and supporting reference material. File project_analysis.csv contains the full analytical classification of the projects. Each record represents one building and includes general project infor...
All Steps: Pretrained Models Sep 14, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling Pelzer, Julia; Kotchourko, Serge, 2026, "All Steps: Pretrained Models", https://doi.org/10.18419/DARUS-6436, DaRUS, V1 Pretrained models for "Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling" This dataset contains the pretrained baseline models, namely CNO, ConvNeXt U-Net, DPOT, LGCNN, scOT, TFNO, and U-Net. A model is trained under a fixed budget on all three training steps in the benchmark and included if training is technically possible under...
micro-XRCT data sets of ultra high performance concrete cores during different stages of high-frequency fatigue testing with 50 Hz Sep 10, 2026 - Publication: Ultra High Performance Concrete (UHPC) Ruf, Matthias; Madadi, Hamid; Steeb, Holger, 2026, "micro-XRCT data sets of ultra high performance concrete cores during different stages of high-frequency fatigue testing with 50 Hz", https://doi.org/10.18419/DARUS-4421, DaRUS, V1 The dataset contains micro X-ray computed tomography (micro-XRCT) data from cylindrical ultra-high-performance concrete (UHPC) cores examined at different stages of high-frequency fatigue damage. Each core had a diameter of 6.35 mm and a length of 16 mm. The cores were extracted from the same UHPC block. However, different cores were imaged at the...
micro-XRCT data set of the final failure of a Berea sandstone core after high-frequency fatigue testing with 50 Hz Sep 10, 2026 - Publication: Ultra High Performance Concrete (UHPC) Ruf, Matthias; Madadi, Hamid; Steeb, Holger, 2026, "micro-XRCT data set of the final failure of a Berea sandstone core after high-frequency fatigue testing with 50 Hz", https://doi.org/10.18419/DARUS-4420, DaRUS, V1 The dataset contains micro X-ray computed tomography (micro-XRCT) data from a cylindrical Berea sandstone specimen subjected to high-frequency fatigue testing. The specimen had a diameter of 12 mm and a length of 30 mm. The fatigue test associated with the micro-XRCT measurements was performed at a loading frequency of 50 Hz. The compressive streng...
Data for: The Role of Pore-Scale Geometry in Immiscible Displacement: A Numerical Comparison Between Chemical and Mechanical Erosion Sep 10, 2026 - Publication: OpenFOAM-based numerical simulation of flow in porous media Wang, Mingfeng; Karadimitriou, Nikolaos; Steeb, Holger, 2026, "Data for: The Role of Pore-Scale Geometry in Immiscible Displacement: A Numerical Comparison Between Chemical and Mechanical Erosion", https://doi.org/10.18419/DARUS-6435, DaRUS, V1 1. Introduction Fluid flow through porous media can alter the void space geometry theough chemical erosion, which dissolves and then shrinks solid grains, or mechanical erosion, which remove solid grains. The impacts of these distinct erosion mechanisms on two-phase flow behavior remain poorly understood, despite their broad relevance to subsurface...

Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems

Sep 17, 2026 - Holm group

Fellner, Tobias; Merklinger, Jonas; Holm, Christian, 2026, "Replication Data and Scripts for: Multivariate quantum reservoir computing with discrete and continuous variable systems", https://doi.org/10.18419/DARUS-6457, DaRUS, V1

The data and scripts provided here are for reproducing the results of "Multivariate quantum reservoir computing with discrete and continuous variable systems" (https://doi.org/10.48550/arXiv.2604.08427). See the README.md file for details and instructions.

Shaping Documentation of Three Self-shaping Furniture Case Studies

Sep 17, 2026 - EXC IntCDC Associated Project 36 'Development of Self-Forming Curved Wood Furniture'

Kiesewetter, Laura; Wood, Dylan; Menges, Achim, 2026, "Shaping Documentation of Three Self-shaping Furniture Case Studies", https://doi.org/10.18419/DARUS-6400, DaRUS, V1, UNF:6:66usg4uNWSXd9ghDhqFF4w== [fileUNF]

Summary This dataset contains interval photos and metadata of the self-shaping process of three self-shaping wood furniture case studies, including time-lapse image sequences and CSV files documenting image metadata and gaps in the footage from camera-based acquisition. Dataset structure Shaping_documentation/ Case_study_C1/ Images/ Gaps_in_footage...

Real Deep Drawing and Cutting (RDDAC) Dataset

Sep 15, 2026 - DFG SPP 2422

Baum, Sebastian; Heinzelmann, Pascal, 2026, "Real Deep Drawing and Cutting (RDDAC) Dataset", https://doi.org/10.18419/DARUS-5589, DaRUS, V2, UNF:6://L2Oi/0+MrVLRmISrkG3w== [fileUNF]

Code, quick-start examples and full documentation: https://github.com/BaumSebastian/RDDAC. The Real Deep Drawing and Cutting (RDDAC) Dataset is the experimental counterpart to the DDACS simulation dataset. It contains physical measurements from a deep drawing and cutting process for DP600 sheet metal, captured on modified quadratic cups, and is int...

2023_DFG_aCoSi(Universität Stuttgart)

Sep 15, 2026ISW Data Repository

Institute of Construction Management(Universität Stuttgart)

Sep 15, 2026

Dataset of Structural and Material Systems across 240 Multi-Storey Timber Buildings: Four-Level Classification of Building Volume, Building Systems, Decks, and Connections, with Timber Use Level

Sep 15, 2026 - EXC IntCDC RP 10: Co-Design from Architectural, Historical and Social Science Perspectives

Svatoš-Ražnjević, Hana; Menges, Achim, 2026, "Dataset of Structural and Material Systems across 240 Multi-Storey Timber Buildings: Four-Level Classification of Building Volume, Building Systems, Decks, and Connections, with Timber Use Level", https://doi.org/10.18419/DARUS-6270, DaRUS, V1, UNF:6:46jUfsh7MmgsQvKdQziodQ== [fileUNF]

This dataset contains information on 240 multi-storey timber buildings and documents their project characteristics, structural systems, material composition, and supporting reference material. File project_analysis.csv contains the full analytical classification of the projects. Each record represents one building and includes general project infor...

All Steps: Pretrained Models

Sep 14, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling

Pelzer, Julia; Kotchourko, Serge, 2026, "All Steps: Pretrained Models", https://doi.org/10.18419/DARUS-6436, DaRUS, V1

Pretrained models for "Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling" This dataset contains the pretrained baseline models, namely CNO, ConvNeXt U-Net, DPOT, LGCNN, scOT, TFNO, and U-Net. A model is trained under a fixed budget on all three training steps in the benchmark and included if training is technically possible under...

micro-XRCT data sets of ultra high performance concrete cores during different stages of high-frequency fatigue testing with 50 Hz

Sep 10, 2026 - Publication: Ultra High Performance Concrete (UHPC)

Ruf, Matthias; Madadi, Hamid; Steeb, Holger, 2026, "micro-XRCT data sets of ultra high performance concrete cores during different stages of high-frequency fatigue testing with 50 Hz", https://doi.org/10.18419/DARUS-4421, DaRUS, V1

The dataset contains micro X-ray computed tomography (micro-XRCT) data from cylindrical ultra-high-performance concrete (UHPC) cores examined at different stages of high-frequency fatigue damage. Each core had a diameter of 6.35 mm and a length of 16 mm. The cores were extracted from the same UHPC block. However, different cores were imaged at the...

micro-XRCT data set of the final failure of a Berea sandstone core after high-frequency fatigue testing with 50 Hz

Sep 10, 2026 - Publication: Ultra High Performance Concrete (UHPC)

Ruf, Matthias; Madadi, Hamid; Steeb, Holger, 2026, "micro-XRCT data set of the final failure of a Berea sandstone core after high-frequency fatigue testing with 50 Hz", https://doi.org/10.18419/DARUS-4420, DaRUS, V1

The dataset contains micro X-ray computed tomography (micro-XRCT) data from a cylindrical Berea sandstone specimen subjected to high-frequency fatigue testing. The specimen had a diameter of 12 mm and a length of 30 mm. The fatigue test associated with the micro-XRCT measurements was performed at a loading frequency of 50 Hz. The compressive streng...

Data for: The Role of Pore-Scale Geometry in Immiscible Displacement: A Numerical Comparison Between Chemical and Mechanical Erosion

Sep 10, 2026 - Publication: OpenFOAM-based numerical simulation of flow in porous media

Wang, Mingfeng; Karadimitriou, Nikolaos; Steeb, Holger, 2026, "Data for: The Role of Pore-Scale Geometry in Immiscible Displacement: A Numerical Comparison Between Chemical and Mechanical Erosion", https://doi.org/10.18419/DARUS-6435, DaRUS, V1

1. Introduction Fluid flow through porous media can alter the void space geometry theough chemical erosion, which dissolves and then shrinks solid grains, or mechanical erosion, which remove solid grains. The impacts of these distinct erosion mechanisms on two-phase flow behavior remain poorly understood, despite their broad relevance to subsurface...

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