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Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 2 Observations

Metadata Updated: July 6, 2024

<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.</p>

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
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/a964beb8ed92319552e5fbabc0bba18b
Identifier USGS:5f986594d34e198cb77ff084
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 790f7f4c-c7f9-4560-b51a-e83bd62688bc
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 3c6bbd8be21ef11ce64404fc03bf4e30500bc1edbe42de5208a8f8c462260272
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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