Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs
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Digital DataXML
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Original MetadataXML
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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/588df0322ffa972402f1130cc6d8426e |
Identifier | USGS:5f9865abd34e198cb77ff086 |
Data Last Modified | 20201209 |
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 | 1da4a781-5220-4691-868e-4ddd49121650 |
Harvest Source Id | 52bfcc16-6e15-478f-809a-b1bc76f1aeda |
Harvest Source Title | DOI EDI |
Metadata Type | geospatial |
Old Spatial | -123.32988684,30.1454932,-70.97964444,48.90595739 |
Publisher Hierarchy | White House > U.S. Department of the Interior > U.S. Geological Survey |
Source Datajson Identifier | True |
Source Hash | d2ba46fa603a6a4687c45b35c0f5f87a4bb7815dcb20a54344138f1aff4c90f3 |
Source Schema Version | 1.1 |
Spatial | {"type": "Polygon", "coordinates": -123.32988684, 30.1454932, -123.32988684, 48.90595739, -70.97964444, 48.90595739, -70.97964444, 30.1454932, -123.32988684, 30.1454932} |
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