Metadata for Pavlovic et al. - Machine Learning Critical Loads
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.
This dataset is associated with the following publication:
Pavlovic, 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).
Resources
1 resource available
-
https://www.sciencedirect.com/science/article/pii/S0048969722063513
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| 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. This dataset is associated with the following publication: Pavlovic, 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 |
[ { "title": "https://www.sciencedirect.com/science/article/pii/S0048969722063513", "accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969722063513" } ] |
| identifier | https://doi.org/10.23719/1530094 |
| keyword |
[ "NAAQS", "Nitrogen and Co-pollutants", "Tree", "critical loads", "forest" ] |
| 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 |
