Process-guided deep learning water temperature predictions: 4 Training data

Published by U.S. Geological Survey | Department of the Interior | Metadata Last Checked: July 17, 2025 | Last Modified: 20200820

This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes Long-TERM Ecological Research Program (https://lter.limnology.wisc.edu/), the Minnesota department of Natural Resources, and the Global Lake Ecological Observatory Network (gleon.org). 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 (http://dx.doi.org/10.5066/P9AQPIVD).

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007 012 MN Minnesota US USGS:5d8a42e3e4b0c4f70d0ae5fd United States WI Wisconsin climate change deep learning environment hybrid modeling inlandWaters machine learning modeling reservoirs temperate lakes temperature thermal profiles water

Complete Metadata

@id	http://datainventory.doi.gov/id/dataset/a2731f8a13c1818342c74dc94abda6c8
bureauCode	[ "010:12" ]
identifier	USGS:5d8a42e3e4b0c4f70d0ae5fd
spatial	-94.2609062307949,42.5692312672573,-87.9475441739278,48.6427837911633
theme	[ "geospatial" ]

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