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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: January 13, 2026

<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 January 13, 2026
Metadata Updated Date January 13, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 13, 2026
Metadata Updated Date January 13, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_5f986594d34e198cb77ff084
Data Last Modified 2020-12-09T00:00:00Z
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://ddi.doi.gov/usgs-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 ef39b5b0-b300-4027-bd5e-4f46db790a25
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -123.32988684, 30.1454932, -70.97964444, 48.90595739
Source Datajson Identifier True
Source Hash 9808ad57473a2b475f69dccdeb28209e6d5670351473c4f4e0b6e89467fd6785
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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