Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Water temperature data from the Pend Oreille River, Washington and Idaho, 2016-2018

Metadata Updated: October 29, 2023

The data were collected summer, 2016, 2017, and 2018. Continuous temperature loggers were deployed along the Pend Oreille River between Albeni Falls Dam and the Box Canyon Dam. Loggers were checked every 1-2 weeks throughout the summer.

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


Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Identifier USGS:5c9d0e2ee4b0b8a7f62e0903
Data Last Modified 20200819
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 9655c159-94d6-4860-953a-c2d251089d6e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -117.4548339836,48.165793596084,-116.99890136643,48.904161183675
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 2a6f9baf453ed60d5de4e292f6f5c576158764252cf6131db38ab30b35ad3371
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -117.4548339836, 48.165793596084, -117.4548339836, 48.904161183675, -116.99890136643, 48.904161183675, -116.99890136643, 48.165793596084, -117.4548339836, 48.165793596084}

Didn't find what you're looking for? Suggest a dataset here.