Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
Data and Resources
-
Original MetadataXML
The metadata original format
-
Digital DataXML
Landing page for access to the data
| Field | Value |
|---|---|
| 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:5d925066e4b0c4f70d0d0599 |
| metadata_type | geospatial |
| modified | 20200820 |
| old-spatial | -89.4836545048768, 43.0771195331357, -89.3674075050573, 43.1520341996861 |
| publisher | U.S. Geological Survey |
| publisher_hierarchy | Department of the Interior > U.S. Geological Survey |
| resource-type | Dataset |
| source_datajson_identifier | true |
| source_hash | 453ff9c1fe41a86a34fbce2186b8de525087c726 |
| source_schema_version | 1.1 |
| spatial | {"type": "Polygon", "coordinates": [[[-89.4836545048768, 43.0771195331357], [-89.4836545048768, 43.1520341996861], [ -89.3674075050573, 43.1520341996861], [ -89.3674075050573, 43.0771195331357], [-89.4836545048768, 43.0771195331357]]]} |
| theme | {geospatial} |
| Groups |
|
| Tags |
|
| isopen | False |
| license_id | notspecified |
| license_title | License not specified |
| maintainer | Jordan S. Read |
| maintainer_email | jread@usgs.gov |
| metadata_created | 2025-11-22T02:36:51.379138 |
| metadata_modified | 2025-11-22T02:36:51.379143 |
| 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 | 2 |
| num_tags | 25 |
| title | Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data |