Metadata for Pavlovic et al. - Machine Learning Critical Loads
Resources
1 resource available
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https://www.sciencedirect.com/science/article/pii/S0048969722063513
FILE
Complete Metadata
| 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 |