Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
Data and Resources
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Web Resource
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Web Resource
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Web Resource
sdata.2017.53
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Web Resource
| Field | Value |
|---|---|
| accessLevel | public |
| bureauCode | {010:00} |
| catalog_@context | https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld |
| catalog_conformsTo | https://project-open-data.cio.gov/v1.1/schema |
| catalog_describedBy | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
| identifier | 0dbd0f39-6888-457f-bb70-7089b533a732 |
| 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 | f9d5ad284fe7fc5b629414415fb968cdf694bc32 |
| 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 |
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| Tags |
|
| 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 | 2025-11-22T00:17:51.969928 |
| metadata_modified | 2025-11-22T00:17:51.969933 |
| notes | 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). |
| num_resources | 4 |
| num_tags | 20 |
| title | Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) |