Process-guided deep learning water temperature predictions: 4c All lakes historical training data
Data and Resources
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sdata.2017.53
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Original MetadataXML
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| 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 | 3cdea491-5c1b-4ad4-868f-476e035138d0 |
| 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 | 021a1f86d0c869b4563461d364cabbc6b4723373 |
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| spatial | {"type": "Polygon", "coordinates": [[[-94.2609062308, 42.5692312673], [-87.9475441739, 42.5692312673], [-87.9475441739, 48.6427837912], [-94.2609062308, 48.6427837912], [-94.2609062308, 42.5692312673]]]} |
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| license_id | notspecified |
| license_title | License not specified |
| maintainer | U.S. Geological Survey (Point of Contact) |
| maintainer_email | jread@usgs.gov |
| metadata_created | 2025-11-19T22:24:58.477495 |
| metadata_modified | 2025-11-19T22:24:58.477501 |
| 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 | 5 |
| num_tags | 20 |
| title | Process-guided deep learning water temperature predictions: 4c All lakes historical training data |