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Data and code for: Remote sensing of temperature-dependent mosquito and viral traits predicts field surveillance-based disease risk

dataset
posted on 2024-12-11, 20:35 authored by Andrew MacDonaldAndrew MacDonald

Data and code to replicate the analyses and results in "Remote sensing of temperature-dependent mosquito and viral traits predicts field surveillance-based disease risk" published in Ecology. Data and code files can be accessed here: https://zenodo.org/records/13344415.

Funding

Rapid response to extreme weather to promote human health and agroecosystem resilience in the San Joaquin Valley, California

National Institute of Food and Agriculture

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History

Data contact name

MacDonald, Andrew

Data contact email

macdonald@bren.ucsb.edu

Publisher

Zenodo

Temporal Extent Start Date

2018-06-01

Theme

  • Geospatial

Geographic location - description

Northern Central Valley of California.

ISO Topic Category

  • environment
  • climatologyMeteorologyAtmosphere
  • biota

National Agricultural Library Thesaurus terms

remote sensing; risk; California; Culex tarsalis; models; West Nile virus; data collection; birds

OMB Bureau Code

  • 005:20 - National Institute of Food and Agriculture

OMB Program Code

  • 005:040 - National Research

Pending citation

  • No

Public Access Level

  • Public

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    Categories

    Keywords

    Central Valley, CaliforniaCulex tarsalisECOSTRESSfield-based model validationtemperature-dependent R0trait-based modelsWest Nile virus

    Licence

    CC BY 4.0

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