Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)

Published by U.S. Geological Survey | Department of the Interior | Metadata Last Checked: January 27, 2026 | Last Modified: 2020-08-20T00:00:00Z

This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). 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:5d89d8e3e4b0c4f70d0ae4dc United States WI Wisconsin climate change deep learning environment hybrid modeling inlandWaters machine learning modeling reservoirs temperate lakes temperature thermal profiles water

Complete Metadata

bureauCode	[ "010:12" ]
identifier	http://datainventory.doi.gov/id/dataset/USGS_5d89d8e3e4b0c4f70d0ae4dc
spatial	-94.2609062307949, 42.5692312672573, -87.9475441739278, 48.6427837911633
theme	[ "Geospatial" ]

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