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

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).

Data e Risorse

Campo Valore
accessLevel public
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modified 20200820
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publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
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Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • 007
  • 012
  • amerigeo
  • amerigeoss
  • ckan
  • climate-change
  • deep-learning
  • environment
  • geo
  • geoss
  • hybrid-modeling
  • inlandwaters
  • machine-learning
  • minnesota
  • mn
  • modeling
  • national
  • north-america
  • reservoirs
  • temperate-lakes
  • temperature
  • thermal-profiles
  • united-states
  • us
  • usgs-5d8a42e3e4b0c4f70d0ae5fd
  • water
  • wi
  • wisconsin
isopen False
license_id notspecified
license_title License not specified
maintainer Jordan S. Read
maintainer_email jread@usgs.gov
metadata_created 2025-11-22T20:51:29.847426
metadata_modified 2025-11-22T20:51:29.847430
notes 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).
num_resources 2
num_tags 28
title Process-guided deep learning water temperature predictions: 4 Training data