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

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posted on 2023-12-18, 20:02 authored by Michael A. Alcorn, Kerrie Geil, Brian Stucky, Debra Peters

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, Brian

Data contact email

brian.stucky@usda.gov

Publisher

Ag Data Commons

Temporal Extent Start Date

2001-01-01

Temporal Extent End Date

2021-01-01

Theme

  • 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 intelligence

OMB 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

Preferred dataset citation

Alcorn, Michael A.; Geil, Kerrie; Stucky, Brian; Peters, Debra (2022). Data from: Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1528345

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