5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
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Original MetadataXML
The metadata original format
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Digital DataXML
Landing page for access to the data
Dates
Metadata Created Date | June 1, 2023 |
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Metadata Updated Date | July 6, 2024 |
Metadata Source
- Data.json Data.json Metadata
Harvested from DOI EDI
Additional Metadata
Resource Type | Dataset |
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Metadata Created Date | June 1, 2023 |
Metadata Updated Date | July 6, 2024 |
Publisher | U.S. Geological Survey |
Maintainer | |
@Id | http://datainventory.doi.gov/id/dataset/ee9bebd831ce8f990a3c547f0c015d54 |
Identifier | USGS:6084cb2ed34eadd49d31aeaf |
Data Last Modified | 20210927 |
Category | geospatial |
Public Access Level | public |
Bureau Code | 010:12 |
Metadata Context | https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld |
Metadata Catalog ID | https://datainventory.doi.gov/data.json |
Schema Version | https://project-open-data.cio.gov/v1.1/schema |
Catalog Describedby | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
Harvest Object Id | a4d8b1b0-a3bf-4fb0-881e-b6979d062209 |
Harvest Source Id | 52bfcc16-6e15-478f-809a-b1bc76f1aeda |
Harvest Source Title | DOI EDI |
Metadata Type | geospatial |
Old Spatial | -124.138658984335,29.1524975232233,-67.8714112090545,49.0018341836332 |
Publisher Hierarchy | White House > U.S. Department of the Interior > U.S. Geological Survey |
Source Datajson Identifier | True |
Source Hash | 431c268f4565871eeece31003b582c9c93d46f3107e5e504fdb783bd060343ad |
Source Schema Version | 1.1 |
Spatial | {"type": "Polygon", "coordinates": -124.138658984335, 29.1524975232233, -124.138658984335, 49.0018341836332, -67.8714112090545, 49.0018341836332, -67.8714112090545, 29.1524975232233, -124.138658984335, 29.1524975232233} |
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