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Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation

Metadata Updated: January 21, 2026

<p>This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the metric calculations in the supplement of Rahmani et al. (2020), equations S1-S7.</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 11, 2026
Metadata Updated Date January 21, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 11, 2026
Metadata Updated Date January 21, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_5f9865fbd34e198cb77ff08c
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
Datagov Dedupe Retained 20260120223735
Harvest Object Id 3715b074-5892-42b7-966e-7ee765c03413
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 488fbf21c0a38a34a5798ccd06a47ed4a9acb49a55210dfdff1e920d43cf6674
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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