Process-guided deep learning water temperature predictions: 4c All lakes historical training data
Data e Risorse
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Original MetadataXML
The metadata original format
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Digital DataXML
Landing page for access to the data
| Campo | Valore |
|---|---|
| accessLevel | public |
| bureauCode | {010:12} |
| 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 | USGS:5d8a47bce4b0c4f70d0ae61f |
| metadata_type | geospatial |
| modified | 20200820 |
| old-spatial | -94.2609062307949, 42.5692312672573, -87.9475441739278, 48.6427837911633 |
| publisher | U.S. Geological Survey |
| publisher_hierarchy | Department of the Interior > U.S. Geological Survey |
| resource-type | Dataset |
| source_datajson_identifier | true |
| source_hash | 160a3367e76b8abc025db46160898723e460c870 |
| source_schema_version | 1.1 |
| spatial | {"type": "Polygon", "coordinates": [[[-94.2609062307949, 42.5692312672573], [-94.2609062307949, 48.6427837911633], [ -87.9475441739278, 48.6427837911633], [ -87.9475441739278, 42.5692312672573], [-94.2609062307949, 42.5692312672573]]]} |
| theme | {geospatial} |
| Gruppi |
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| Tag |
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| isopen | False |
| license_id | notspecified |
| license_title | License not specified |
| maintainer | Jordan S. Read |
| maintainer_email | jread@usgs.gov |
| metadata_created | 2025-11-22T20:21:08.011090 |
| metadata_modified | 2025-11-22T20:21:08.011094 |
| notes | Observed water temperatures from 1980-2018 were compiled for 68 lakes in Minnesota and Wisconsin (USA). These data were used as training data for process-guided deep learning models and deep learning models, and calibration data for process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources. |
| num_resources | 2 |
| num_tags | 27 |
| title | Process-guided deep learning water temperature predictions: 4c All lakes historical training data |