1 to 10 of 80 Results
Pelzer, Julia; Böttcher, Fabian, 2026, "Step 1: Single Heat Plume", https://doi.org/10.18419/DARUS-5806, DaRUS, V3
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... |
Jun 8, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling
Pelzer, Julia; Böttcher, Fabian, 2026, "All Steps: Raw Simulation Data", https://doi.org/10.18419/DARUS-5920, DaRUS, V2
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... |
Pelzer, Julia; Böttcher, Fabian, 2026, "Step 2: Two Interacting Heat Plumes", https://doi.org/10.18419/DARUS-5807, DaRUS, V3
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... |
Pelzer, Julia; Böttcher, Fabian, 2026, "Step 3: Scaled-up Domain and Interactions of Heat Plumes", https://doi.org/10.18419/DARUS-5808, DaRUS, V2
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... |
Jun 2, 2026Surrogate models for groundwater flow simulations
Datasets (raw and prepared) and trained models for modeling heat plume interactions in a bottom-up approach of small building blocks. It contains data for the publication "Efficient Two-Stage Modeling of Heat Plume Interactions of Geothermal Heat Pumps in Shallow Aquifers Using Convolutional Neural Networks", projects, and student theses that build... |
May 22, 2026 - Surrogate models for groundwater flow simulations
Baratto, Thomas, 2026, "Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics", https://doi.org/10.18419/DARUS-5815, DaRUS, V3, UNF:6:dsogzGIJc3jbogD4D0lTEA== [fileUNF]
Inference package for thermal plume prediction (v1.0.0). Contains pre-trained MLP and randomized neural network models, the ba-predict CLI, the CSV data used to train the models obtained via simulation by Fabian Böttcher, sample input files, and a Dockerfile. CPU-only (no GPU required). Install with: pip install ./code. Full source code (training s... |
Apr 30, 2026 - Blasco group Dataverse
Delavier, Christian; Bechtold, Svenja, 2026, "Data for: "3D Digital Light Processing of Redox-Active Polymers for Electrochemical Applications"", https://doi.org/10.18419/DARUS-5532, DaRUS, V1
This dataset contains the material characterization data for the related publication as well as pictures, figures and synthetic procedure information. The data is provided in two separate folders, with the folder titled Daten_DaRUS containing the data generated at Heidelberg University and the folder SE-EC Daten_DaRUS containing the data generated... |
Apr 14, 2026Surrogate models for groundwater flow simulations
This dataverse contains the datasets for all steps of our stepwise benchmark based on input data from the region of Munich. The first step starts with a single heat pump in a heterogeneous 2D subsurface aquifer with seasonal operational pump parameters. The second step contains two potentially interacting heat plumes and fewer data points due to th... |
Mar 3, 2026 - Deschler group Dataverse
Kollenz, Philipp, 2026, "Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells", https://doi.org/10.18419/DARUS-5656, DaRUS, V1
This dataset contains measurement data related to the paper "Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells". The data originates from optical and electrical experiments investigating neuromorphic reservoir computing based on opto-ionic dynamics in hybrid lead-halide perovskite devices.Th... |
Feb 23, 2026 - Modeling Strategies for Gas migration in Subsurface
Banerjee, Ishani; Guthke (geb. Schöniger), Anneli; Nowak, Wolfgang, 2026, "Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data", https://doi.org/10.18419/DARUS-3592, DaRUS, V1
This dataset contains the codes for the invasion percolation models and comparison method used in the manuscript: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data |
