Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks

DOI

The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing.

In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260.

The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists of 1000 simulation runs from darus-3652 that are prepared for the ConvLSTM network. Each data point measures 320 m x 6400 m with 64 x 1280 cells. All parameters are constant except for the permeability, which varies across the domain and from data point to data point.

Identifier
DOI https://doi.org/10.18419/darus-4514
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4514
Provenance
Creator Hofmann, Johanna ORCID logo
Publisher DaRUS
Contributor Hofmann, Johanna; Pelzer, Julia; Schulte, Miriam
Publication Year 2024
Funding Reference DFG EXC 2075 - 390740016
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Hofmann, Johanna (Universität Stuttgart); Pelzer, Julia (Universität Stuttgart); Schulte, Miriam (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/zip
Size 25192649; 20407858; 29144459; 24074371; 716823159
Version 2.1
Discipline Chemistry; Construction Engineering and Architecture; Earth and Environmental Science; Engineering; Engineering Sciences; Environmental Research; Geosciences; Natural Sciences