{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Christopher Clark", "hasEmail": "mailto:clark.christopher@epa.gov"}, "description": "This is the metadata associated with Pavlovic et al. (2023) entitled \"Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with machine learning\" (https://www.sciencedirect.com/science/article/pii/S0048969722063513). It is not EPA data and the data and associated metadata is already publicly available on the journal website. \n\nThis dataset is associated with the following publication:\nPavlovic, N., S. Chang, J. Huang, K. Craig, C. Clark, K. Horn, and C. Driscoll. Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with machine learning.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 857: 1-10, (2022).", "distribution": [{"accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969722063513", "title": "https://www.sciencedirect.com/science/article/pii/S0048969722063513"}], "identifier": "https://doi.org/10.23719/1530094", "keyword": ["Nitrogen and Co-pollutants", "forest", "critical loads", "Tree", "NAAQS"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2022-10-01", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1016/j.scitotenv.2022.159252", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241478"], "rights": null, "title": "Metadata for Pavlovic et al. - Machine Learning Critical Loads"}