3 Model Forcings: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
<p>This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.</p>
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Farshid Rahmani",
"@type": "vcard:Contact",
"hasEmail": "mailto:fzr5082@psu.edu"
}
|
| description | <p>This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.</p> |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9VHMO56",
"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.6084cab2d34eadd49d31aeab.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_6084cab2d34eadd49d31aeab |
| keyword |
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"deep learning",
"environment",
"inlandWaters",
"machine learning",
"modeling",
"streams",
"water resources",
"water temperature"
]
|
| modified | 2021-09-27T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -124.138658984335, 29.1524975232233, -67.8714112090545, 49.0018341836332 |
| theme |
[
"geospatial"
]
|
| title | 3 Model Forcings: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins |
