Testing data set for independent analysis of New Hampshire arsenic model
This data release contains a table of measured arsenic concentrations and associated model input variables used to test existing multivariate logistic regression models that predict the probabilities of arsenic concentrations exceeding threshold values of 1, 5, and 10 micrograms per liter in bedrock aquifers of New Hampshire. Location data are censored to the county level.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Joseph Ayotte",
"@type": "vcard:Contact",
"hasEmail": "mailto:jayotte@usgs.gov"
}
|
| description | This data release contains a table of measured arsenic concentrations and associated model input variables used to test existing multivariate logistic regression models that predict the probabilities of arsenic concentrations exceeding threshold values of 1, 5, and 10 micrograms per liter in bedrock aquifers of New Hampshire. Location data are censored to the county level. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/F7XK8CQV",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5877e09be4b0b8c259c4875b.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5877e09be4b0b8c259c4875b |
| keyword |
[
"Arsenic",
"Drinking Water",
"Mathematical Modeling",
"Spatial Analysis",
"USGS:5877e09be4b0b8c259c4875b",
"Water Quality"
]
|
| modified | 2020-08-25T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -72.548217774132, 42.690189571792, -70.724487305454, 45.305494872717 |
| theme |
[
"Geospatial"
]
|
| title | Testing data set for independent analysis of New Hampshire arsenic model |
