Deep Learning for Water Quality
Streamflow data (Fig. 1a) from the Global Streamflow Indices and Metadata Archive (GSIM) were compiled from repositories at https://doi.org/10.1594/PANGAEA.887477 and https://doi.org/10.1594/PANGAEA.887470. Water-quality data (Fig. 1b) from the Global River Water Quality Archive (GRQA) were downloaded from https://doi.org/10.5281/zenodo.7056647.
This dataset is associated with the following publication:
Zhi, W., A. Appling, H. Golden, J. Podgorski, and L. Li. Deep Learning for Water Quality. Nature Water. Nature Portfolio, Berlin, GERMANY, 2: 228–241, (2024).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Heather Golden",
"hasEmail": "mailto:golden.heather@epa.gov"
}
|
| description | Streamflow data (Fig. 1a) from the Global Streamflow Indices and Metadata Archive (GSIM) were compiled from repositories at https://doi.org/10.1594/PANGAEA.887477 and https://doi.org/10.1594/PANGAEA.887470. Water-quality data (Fig. 1b) from the Global River Water Quality Archive (GRQA) were downloaded from https://doi.org/10.5281/zenodo.7056647. This dataset is associated with the following publication: Zhi, W., A. Appling, H. Golden, J. Podgorski, and L. Li. Deep Learning for Water Quality. Nature Water. Nature Portfolio, Berlin, GERMANY, 2: 228–241, (2024). |
| distribution |
[
{
"title": "https://doi.org/10.1594/PANGAEA.887470",
"accessURL": "https://doi.org/10.1594/PANGAEA.887470"
},
{
"title": "https://doi.org/10.1594/PANGAEA.887477",
"accessURL": "https://doi.org/10.1594/PANGAEA.887477"
},
{
"title": "https://doi.org/10.5281/zenodo.7056647",
"accessURL": "https://doi.org/10.5281/zenodo.7056647"
}
]
|
| identifier | https://doi.org/10.23719/1530707 |
| keyword |
[
"Deep learning",
"machine learning",
"modeling",
"water quality"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2024-03-12 |
| 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/10.1038/s44221-024-00202-z",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151732"
]
|
| rights |
null
|
| title | Deep Learning for Water Quality |
