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Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 4 Models

Metadata Updated: January 21, 2026

<p>This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.</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 12, 2026
Metadata Updated Date January 21, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 12, 2026
Metadata Updated Date January 21, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_5f9865cfd34e198cb77ff088
Data Last Modified 2021-01-05T00:00:00Z
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
Datagov Dedupe Retained 20260120223735
Harvest Object Id 8bae4047-5f7d-4649-8ebc-1c263ac893af
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
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Source Datajson Identifier True
Source Hash 26e19112c3073e60c746fdb2a4d73c992427dbf2e41e3127df7761980e39cd36
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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