Original Metadata
type: Distribution
access URL: https://data.doi.gov/harvest/object/72c6392e-425a-48ce-bd3f-9516e060ca28
media type: text/xml
description: The metadata original source
format: XML
issued: 2022-08-07T11:35:47.584245
modified: 2025-11-21T11:55:49.629524

Shapefile Data Set
type: Distribution
access URL: http://dx.doi.org/10.5066/P9AQPIVD
description: CSDGM IMPORT ERROR: No digtinfo/formcont
issued: 2022-08-07T11:35:47.584223
modified: 2025-11-21T11:55:49.627534

US Migrating
type: Agent

Web Resource
type: Distribution
access URL: http://dx.doi.org/10.1029/2019WR024922
issued: 2022-08-07T11:35:47.584234
modified: 2025-11-21T11:55:49.628347

Web Resource
type: Distribution
access URL: http://dx.doi.org/10.5066/F7DV1H10
issued: 2022-08-07T11:35:47.584241
modified: 2025-11-21T11:55:49.629129

Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
type: Dataset
contact point: Organization
  fn: U.S. Geological Survey (Point of Contact)
keyword: geoss
keyword: united-states
keyword: amerigeoss
keyword: water
keyword: geo
keyword: amerigeo
keyword: climate-change
keyword: ckan
keyword: deep-learning
keyword: thermal-profiles
keyword: temperature
keyword: machine-learning
keyword: hybrid-modeling
keyword: national
keyword: us
keyword: usgs-5d89d8e3e4b0c4f70d0ae4dc
keyword: modeling
keyword: temperate-lakes
keyword: north-america
keyword: reservoirs
theme: {geospatial}
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).
issued: 2025-11-21T11:55:49.640359
modified: 2020-08-20
spatial: Location

Web Resource
type: Distribution
access URL: http://dx.doi.org/10.5066/P9AQPIVD
issued: 2022-08-07T11:35:47.584230
modified: 2025-11-21T11:55:49.627954

Web Resource
type: Distribution
access URL: http://dx.doi.org/10.1038/sdata.2017.53
description: sdata.2017.53
issued: 2022-08-07T11:35:47.584238
modified: 2025-11-21T11:55:49.628731