%0 Generic %1 davis2022replication %A Davis, Kyle %A Schulte, Miriam %D 2022 %K %R 10.18419/darus-3184 %T Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps %X This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions.

@misc{davis2022replication, abstract = {This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions. }, added-at = {2023-08-31T15:02:29.000+0200}, affiliation = {Davis, Kyle/Universität Stuttgart, Schulte, Miriam/Universität Stuttgart}, author = {Davis, Kyle and Schulte, Miriam}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28587bf3248e89ad500ae2a4768ca9d35/puma-wartung}, doi = {10.18419/darus-3184}, howpublished = {Software}, interhash = {03bd90df9cfebd8e791479a41212660f}, intrahash = {8587bf3248e89ad500ae2a4768ca9d35}, keywords = {}, orcid-numbers = {Davis, Kyle/0000-0001-8602-8124, Schulte, Miriam/0000-0003-4594-6142}, timestamp = {2023-08-31T13:02:29.000+0200}, title = {Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps}, year = 2022 }