Machine learning to predict tributary phosphorus loads data
The water and climate data for Lake Erie, including:
Soil moisture, streamflow, water temperature, evaporation, baseflow. NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Chunling Tang",
"hasEmail": "mailto:tang.chunling@epa.gov"
}
|
| description | The water and climate data for Lake Erie, including: Soil moisture, streamflow, water temperature, evaporation, baseflow. NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person. |
| distribution |
[]
|
| identifier | https://doi.org/10.23719/1527723 |
| keyword |
[
"Nitrogen and Co-pollutants",
"Nutrient use",
"eutrophication",
"land surface model",
"multi media modeling"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2022-06-08 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
|
| references |
null
|
| rights |
null
|
| title | Machine learning to predict tributary phosphorus loads data |
