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    • Data for satellites predict lakes at risk from cyanobacteria and microcystin toxins

    Metadata Updated: March 27, 2023

    Data for analysis for modeling probability of measuring microcystin toxin, cyanobacteria cell abundance, and chlorophyll a concentration in ~2,200 lakes based on cyanobacteria summer bloom magnitude measured by satellite imagery.

    This dataset is associated with the following publication: Handler, A., J. Compton, R. Hill, S. Leibowitz, and B. Schaeffer. Identifying lakes at risk of toxic cyanobacterial blooms using satellite imagery and field surveys across the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 869: 161784, (2023).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1016/j.scitotenv.2023.161784
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018780

    Dates

    Metadata Created Date December 13, 2021
    Metadata Updated Date March 27, 2023

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 13, 2021
    Metadata Updated Date March 27, 2023
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1524299
    Data Last Modified 2021-12-08
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 90e17302-5df9-4b1f-820d-12a9fc9ef83c
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:000
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.scitotenv.2023.161784, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018780
    Source Datajson Identifier True
    Source Hash 7a8d7bf2051e0239c2789e5c773c7f66a1422ce4
    Source Schema Version 1.1

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