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61 to 70 of 2,533 Results
Sep 17, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling
Pelzer, Julia; Böttcher, Fabian, 2026, "Step 1: Single Heat Plume", https://doi.org/10.18419/DARUS-5806, 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...
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...
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...
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...
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...
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.
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...
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...
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...
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...
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