Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
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1810.02880.pdf
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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 | 68ac809a-3eb2-4220-ba86-e679b95ac980 |
| metadata_type | geospatial |
| modified | 2020-08-20 |
| old-spatial | {"type": "Polygon", "coordinates": [[[-89.4836545049, 43.0771195331], [-89.3674075051, 43.0771195331], [-89.3674075051, 43.1520341997], [-89.4836545049, 43.1520341997], [-89.4836545049, 43.0771195331]]]} |
| 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 | 2025-11-21T14:28:56.900914 |
| metadata_modified | 2025-11-21T14:28:56.900918 |
| notes | This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, 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 Lake Mendota 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 | 7 |
| num_tags | 20 |
| title | Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data |