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SabLa

Metadata Updated: November 27, 2025

The dataset folder entitled “SabLa” holds data structures consisting of statistical predictions of daily salinity time series for the Sabine Lake (SabLa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the SabLa group includes the predictions for two locations defined using agency code and salinity site abbreviations.

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 September 14, 2025
Metadata Updated Date November 27, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 14, 2025
Metadata Updated Date November 27, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-65bc058bd34e18c6baf2efb4
Data Last Modified 2024-07-08T00:00:00Z
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 bbddd382-7d8e-4456-88e3-faa23a4fc349
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Source Datajson Identifier True
Source Hash 5367f00a4f1f42a06fd3e7e9617b79a3a2b95e8137b3703146deb159b7bd1c95
Source Schema Version 1.1

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