Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data
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Original MetadataXML
The metadata original source
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| identifier | e72f091a-3340-4994-b19f-784229a44bd7 |
| metadata_type | geospatial |
| modified | 2020-08-20 |
| old-spatial | {"type": "Polygon", "coordinates": [[[-89.7037723045, 46.0022721953], [-89.6957319045, 46.0022721953], [-89.6957319045, 46.0152963952], [-89.7037723045, 46.0152963952], [-89.7037723045, 46.0022721953]]]} |
| publisher | Climate Adaptation Science Centers |
| resource-type | Dataset |
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| license_title | License not specified |
| maintainer | U.S. Geological Survey (Point of Contact) |
| maintainer_email | jread@usgs.gov |
| metadata_created | 2025-11-20T09:47:25.427826 |
| metadata_modified | 2025-11-20T09:47:25.427830 |
| notes | This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. The dataset also includes Sparkling Lake model erformance as measured as root-mean squared errors relative to temperature observations during the test period. 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 | 8 |
| num_tags | 20 |
| title | Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data |