Data from: Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks

This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks". The dataset consists of two sets of NumPy arrays. The first set: X_grid.npy and Y_grid.npy were used to train the convolutional LSTM, while the second set: X_graph.npy, Y_graph.npy, and edge_index.npy were used to train the graph convolutional LSTM. The data consists of spatiotemporally varying environmental and anthropogenic variables along with case reports of vesicular stomatitis.

Resources in this dataset:
Resource Title: NumPy Arrays of Spatiotemporal Features and VS Cases.
File Name: vs_data.zip
Resource Description: This is a ZIP archive containing five NumPy arrays of spatiotemporal features and geotagged VS cases.
Resource Software Recommended: NumPy,url: https://numpy.org/