{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Chunling Tang", "hasEmail": "mailto:tang.chunling@epa.gov"}, "description": "The water and climate data for Lake Erie, including:\nSoil moisture, streamflow, water temperature, evaporation, baseflow. NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.", "distribution": [], "identifier": "https://doi.org/10.23719/1527723", "keyword": ["Nitrogen and Co-pollutants", "land surface model", "multi media modeling", "eutrophication", "Nutrient use"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2022-06-08", "programCode": ["020:000"], "publisher": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}, "references": null, "rights": null, "title": "Machine learning to predict tributary phosphorus loads data"}