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

The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing.
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In <a href="https://github.com/JohannaHn/1HP_NN/tree/conv_lstm">this repo</a> the code for model training and dataset preparation is published.
The last relevant git commit is 0a148e6131b98260.
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The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks.
It consists of 1000 simulation runs from <a href="https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-3652">darus-3652</a> 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.