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/
Funding
Oak Ridge Institute for Science and Education: DE-SC0014664
History
Data contact name
Stucky, BrianData contact email
brian.stucky@usda.govPublisher
Ag Data CommonsTemporal Extent Start Date
2001-01-01Temporal Extent End Date
2021-01-01Theme
- Not specified
Geographic Coverage
{"type":"FeatureCollection","features":[{"geometry":{"type":"Polygon","coordinates":[[[-115.751953125,31.208103321325],[-111.6650390625,48.460173285246],[-94.6142578125,42.877976842874],[-89.9560546875,36.600094165941],[-99.0966796875,16.638823475728],[-115.751953125,31.208103321325]]]},"type":"Feature","properties":{}}]}Geographic location - description
Western United States and Mexico.ISO Topic Category
- farming
National Agricultural Library Thesaurus terms
neural networks; animal diseases; livestock; vesicular stomatitis; Vesiculovirus; artificial intelligenceOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
Pending citation
- No
Related material without URL
Michael A. Alcorn, Kerrie Geil, Brian Stucky, and Debra Peters (2022), Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks, Abstract (Final paper number, GH23B-07) presented at 2022 AGU Fall Meeting, 12-16 Dec. Michael A. Alcorn, Kerrie Geil, Brian Stucky, and Debra Peters (2022), Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks, Abstract (Final paper number, GH23B-07) presented at 2022 AGU Fall Meeting, 12-16 Dec.Public Access Level
- Public