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Data Extent

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

A map of vesicular stomatitis cases reported from 2001 to 2020 in the United States

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.

FieldValue
Tags
Modified
2022-12-14
Release Date
2022-12-13
Identifier
c3f7c749-8890-4b24-bfaf-159056242817
Spatial / Geographical Coverage Area
POLYGON ((-115.751953125 31.208103321325, -111.6650390625 48.460173285246, -94.6142578125 42.877976842874, -89.9560546875 36.600094165941, -99.0966796875 16.638823475728))
Publisher
Ag Data Commons
Spatial / Geographical Coverage Location
Western United States and Mexico.
Temporal Coverage
January 1, 2001 to January 1, 2021
License
Contact Name
Stucky, Brian
Contact Email
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service