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

Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data

Metadata Updated: June 15, 2024

This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; The buoy is supported by both the Global Lake Ecological Observatory Network ( and the NTL-LTER. The dataset also includes Lake Mendota model erformance as measured as root-mean squared errors relative to temperature observations during the test period. This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (

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 June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Identifier 68ac809a-3eb2-4220-ba86-e679b95ac980
Data Last Modified 2020-08-20
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 7cbb510c-a15c-4922-8504-f05aea7c65b6
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -89.4836545049,43.0771195331,-89.3674075051,43.1520341997
Source Datajson Identifier True
Source Hash 5457e3a670942ff94e12b1bce91ab3936034db44c9d663b2787c5213d7025039
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -89.4836545049, 43.0771195331, -89.4836545049, 43.1520341997, -89.3674075051, 43.1520341997, -89.3674075051, 43.0771195331, -89.4836545049, 43.0771195331}

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