Assessing the relative importance of stressors to the benthic index, M-AMBI: an example from U.S. estuaries
Resources
2 resources available
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https://archive.epa.gov/emap/archive-emap/web/html/index.html
FILE -
https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys
FILE
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Marguerite Pelletier",
"hasEmail": "mailto:pelletier.peg@epa.gov"
}
|
| description | These are these are the data used in the paper: Assessing the relative importance of stressors to the benthic index, M-AMBI: an example from U.S. estuaries. This dataset is associated with the following publication: Pelletier, M., and M. Charpentier. Assessing the relative importance of stressors to the benthic index, M-AMBI: An example from U.S. estuaries. MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 186: 114456, (2023). |
| distribution |
[
{
"title": "https://archive.epa.gov/emap/archive-emap/web/html/index.html",
"accessURL": "https://archive.epa.gov/emap/archive-emap/web/html/index.html"
},
{
"title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
"accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys"
}
]
|
| identifier | https://doi.org/10.23719/1527861 |
| keyword |
[
"M-AMBI",
"Statistics",
"Stressors",
"benthic index",
"random forest"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2022-08-16 |
| 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.marpolbul.2022.114456",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813808"
]
|
| rights |
null
|
| title | Assessing the relative importance of stressors to the benthic index, M-AMBI: an example from U.S. estuaries |