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    • Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations

    Metadata Updated: December 11, 2022

    The datasets include hydrological parameters such as streamflow, soil moisture and water temperature, and meteorological data such as precipitation, max and min temperature, evaporation from 2002 to 2017 for Lake Erie.

    This dataset is associated with the following publication: Feng Chang, C., V. Cover, C. Tang, P. Vlahos, D. Wanik, J. Yan, J. Bash, and M. Astitha. Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 47(6): 1656-1670, (2021).

    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.jglr.2021.09.011
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364922

    Dates

    Metadata Created Date December 11, 2022
    Metadata Updated Date December 11, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 11, 2022
    Metadata Updated Date December 11, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1524526
    Data Last Modified 2022-04-08
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id f02f4adf-4a1b-4cce-a117-43ffee07caf9
    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.jglr.2021.09.011, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364922
    Source Datajson Identifier True
    Source Hash 4e30757225887c03ab92c50738f8ec971180b4ee
    Source Schema Version 1.1

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