%0 Generic %1 pelzer2025datasets %A Pelzer, Julia %D 2025 %K %R 10.18419/darus-5064 %T Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points : Randomized heterogeneous permeability field k (Perlin noise) %X This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 101 data points, each consisting of one simulation run until a quasi-steady state is reached. Each data point measures 12.8 km x 12.8 km x 5 m with 2560 x 2560 x 1 cells. The varying parameters of the data sets are the positions of the heat pumps and a heterogeneous permeability field (Perlin noise, fixed min/max value). Other parameters that define the data sets, such as porosity and hydraulic pressure gradient are chosen to be as close as possible to reality. Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122.

@misc{pelzer2025datasets, abstract = {This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 101 data points, each consisting of one simulation run until a quasi-steady state is reached. Each data point measures 12.8 km x 12.8 km x 5 m with 2560 x 2560 x 1 cells. The varying parameters of the data sets are the positions of the heat pumps and a heterogeneous permeability field (Perlin noise, fixed min/max value). Other parameters that define the data sets, such as porosity and hydraulic pressure gradient are chosen to be as close as possible to reality. Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122. }, added-at = {2025-07-07T14:17:53.000+0200}, affiliation = {Pelzer, Julia/University of Stuttgart}, author = {Pelzer, Julia}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/253f77fd41f4e91aa30961b3060ec13da/unibiblio}, doi = {10.18419/darus-5064}, howpublished = {Dataset}, interhash = {f5841d75eaa1b618ea99fa8292c05bb9}, intrahash = {53f77fd41f4e91aa30961b3060ec13da}, keywords = {}, note = {Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted}, orcid-numbers = {Pelzer, Julia/https://orcid.org/0009-0003-1727-9626}, timestamp = {2025-07-07T12:17:53.000+0200}, title = {Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points : Randomized heterogeneous permeability field k (Perlin noise)}, year = 2025 }