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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31 to 40 of 3,499 Results

Step 2: Two Interacting Heat Plumes Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling Pelzer, Julia; Böttcher, Fabian, 2026, "Step 2: Two Interacting Heat Plumes", https://doi.org/10.18419/DARUS-5807, DaRUS, V5 This dataset serves as training data for modeling the temperature field emanating from open-loop groundwater heat pumps. The dataset was simulated in 2D with Feflow using cut-outs from interpolated hydrogeological measurements of the Munich, Germany, region. Heat pump locations are chosen based on realistic positions, and extraction rates are adapt...
Step 3: Scaled-up Domain and Interactions of Heat Plumes Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling Pelzer, Julia; Böttcher, Fabian, 2026, "Step 3: Scaled-up Domain and Interactions of Heat Plumes", https://doi.org/10.18419/DARUS-5808, DaRUS, V4 This dataset serves as training data for modeling the temperature field emanating from open-loop groundwater heat pumps. The dataset was simulated in 2D with Feflow using cut-outs from interpolated hydrogeological measurements of the Munich, Germany, region. Heat pump locations are chosen based on realistic positions, and extraction rates are adapt...
Step 3b: Scaling Benchmarking Data Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling Pelzer, Julia; Böttcher, Fabian, 2026, "Step 3b: Scaling Benchmarking Data", https://doi.org/10.18419/DARUS-6304, DaRUS, V3 This dataset serves as test data only to benchmark the scaling abilities of models for predicting the temperature field emanating from open-loop groundwater heat pumps. The dataset was simulated in 2D with Feflow using cut-outs from interpolated hydrogeological measurements of the Munich, Germany, region. Heat pump locations are chosen based on rea...
Steps 1-3b: Raw Simulation Data Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling Pelzer, Julia; Böttcher, Fabian, 2026, "Steps 1-3b: Raw Simulation Data", https://doi.org/10.18419/DARUS-5920, DaRUS, V4 This dataset contains unprocessed simulation data of modeling heat flow from open-loop groundwater heat pumps. The dataset was simulated in 2D with Feflow using cut-outs from interpolated hydrogeological measurements of the Munich, Germany, region. Heat pump locations are chosen based on realistic positions, and extraction rates are adapted to fit...
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...

Step 2: Two Interacting Heat Plumes

Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling

Pelzer, Julia; Böttcher, Fabian, 2026, "Step 2: Two Interacting Heat Plumes", https://doi.org/10.18419/DARUS-5807, DaRUS, V5

This dataset serves as training data for modeling the temperature field emanating from open-loop groundwater heat pumps. The dataset was simulated in 2D with Feflow using cut-outs from interpolated hydrogeological measurements of the Munich, Germany, region. Heat pump locations are chosen based on realistic positions, and extraction rates are adapt...

Step 3: Scaled-up Domain and Interactions of Heat Plumes

Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling

Pelzer, Julia; Böttcher, Fabian, 2026, "Step 3: Scaled-up Domain and Interactions of Heat Plumes", https://doi.org/10.18419/DARUS-5808, DaRUS, V4

Step 3b: Scaling Benchmarking Data

Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling

Pelzer, Julia; Böttcher, Fabian, 2026, "Step 3b: Scaling Benchmarking Data", https://doi.org/10.18419/DARUS-6304, DaRUS, V3

This dataset serves as test data only to benchmark the scaling abilities of models for predicting the temperature field emanating from open-loop groundwater heat pumps. The dataset was simulated in 2D with Feflow using cut-outs from interpolated hydrogeological measurements of the Munich, Germany, region. Heat pump locations are chosen based on rea...

Steps 1-3b: Raw Simulation Data

Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling

Pelzer, Julia; Böttcher, Fabian, 2026, "Steps 1-3b: Raw Simulation Data", https://doi.org/10.18419/DARUS-5920, DaRUS, V4

This dataset contains unprocessed simulation data of modeling heat flow from open-loop groundwater heat pumps. The dataset was simulated in 2D with Feflow using cut-outs from interpolated hydrogeological measurements of the Munich, Germany, region. Heat pump locations are chosen based on realistic positions, and extraction rates are adapted to fit...

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...

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