Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps

DOI

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.

Identifier
DOI https://doi.org/10.18419/DARUS-3184
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-3184
Provenance
Creator Davis, Kyle ORCID logo; Schulte, Miriam ORCID logo
Publisher DaRUS
Contributor Davis, Kyle; Schulte, Miriam
Publication Year 2022
Funding Reference BMWi 100295397
Rights GPL 3.0 or later; info:eu-repo/semantics/openAccess; https://www.gnu.org/licenses/gpl-3.0-standalone.html
OpenAccess true
Contact Davis, Kyle (Universität Stuttgart); Schulte, Miriam (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/x-python; application/gzip; text/plain; charset=US-ASCII; text/markdown; application/x-yaml
Size 8419; 426578747; 35127; 4650; 3143; 1475327933; 10035; 10055; 10015; 290; 19187; 813
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences