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.
- NumPy Arrays of Spatiotemporal Features and VS Caseszip
This is a ZIP archive containing five NumPy arrays of spatiotemporal...
MD5:Explore Data532.7 MB
Field | Value |
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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 |