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 and Resources

Field Value
accessLevel public
bureauCode {010:00}
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identifier 17c44a94-ca8a-4952-8445-a9d88c5b0c9b
metadata_type geospatial
modified 2020-08-20
old-spatial {"type": "Polygon", "coordinates": [[[-94.2609062308, 42.5692312673], [-87.9475441739, 42.5692312673], [-87.9475441739, 48.6427837912], [-94.2609062308, 48.6427837912], [-94.2609062308, 42.5692312673]]]}
publisher Climate Adaptation Science Centers
resource-type Dataset
source_datajson_identifier true
source_hash ca8906038436c69955640161f5506f486af46f14
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-94.2609062308, 42.5692312673], [-87.9475441739, 42.5692312673], [-87.9475441739, 48.6427837912], [-94.2609062308, 48.6427837912], [-94.2609062308, 42.5692312673]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • climate-change
  • deep-learning
  • geo
  • geoss
  • hybrid-modeling
  • machine-learning
  • modeling
  • national
  • north-america
  • reservoirs
  • temperate-lakes
  • temperature
  • thermal-profiles
  • united-states
  • us
  • usgs-5d8a42e3e4b0c4f70d0ae5fd
  • water
isopen False
license_id notspecified
license_title License not specified
maintainer U.S. Geological Survey (Point of Contact)
maintainer_email jread@usgs.gov
metadata_created 2025-11-19T18:02:53.073831
metadata_modified 2025-11-19T18:02:53.073837
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 3
num_tags 20
title Process-guided deep learning water temperature predictions: 4 Training data