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

Description

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).

Resources

Name Format Description Link
0 CSDGM IMPORT ERROR: No digtinfo/formcont http://dx.doi.org/10.5066/P9AQPIVD
0 sdata.2017.53 http://dx.doi.org/10.1038/sdata.2017.53
0 http://dx.doi.org/10.5066/F7DV1H10
0 http://dx.doi.org/10.1029/2019WR024922
55 The metadata original source https://data.doi.gov/harvest/object/72c6392e-425a-48ce-bd3f-9516e060ca28

Tags

  • reservoirs
  • hybrid-modeling
  • modeling
  • temperate-lakes
  • deep-learning
  • united-states
  • thermal-profiles
  • usgs-5d89d8e3e4b0c4f70d0ae4dc
  • us
  • climate-change
  • water
  • temperature
  • machine-learning

Topics

Categories