| accessLevel |
public
|
| bureauCode |
{010:00}
|
| 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 |
f356b6d1-c962-45ef-8f1f-b2c6207cb942
|
| 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
|
| source_datajson_identifier |
true
|
| source_hash |
0fca5c409172b7f726cde1f4da0486fbcb342e13
|
| source_schema_version |
1.1
|
| spatial |
{"type": "Polygon", "coordinates": [[[-89.4836545049, 43.0771195331], [-89.3674075051, 43.0771195331], [-89.3674075051, 43.1520341997], [-89.4836545049, 43.1520341997], [-89.4836545049, 43.0771195331]]]}
|
| theme |
{geospatial}
|
| Groups |
- AmeriGEOSS
- National Provider
- North America
|
| Tags |
- amerigeo
- amerigeoss
- ckan
- climate-change
- deep-learning
- geo
- geoss
- hybrid-modeling
- machine-learning
- modeling
- national
- north-america
- reservoirs
- temperate-lakes
- temperature
- thermal-profiles
- united-states
- us
- usgs-5d8a837fe4b0c4f70d0ae8ac
- water
|
| isopen |
False
|
| license_id |
notspecified
|
| license_title |
License not specified
|
| maintainer |
U.S. Geological Survey (Point of Contact)
|
| maintainer_email |
jread@usgs.gov
|
| metadata_created |
2025-11-22T18:12:11.250151
|
| metadata_modified |
2025-11-22T18:12:11.250156
|
| notes |
This dataset includes 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. 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 |
3
|
| num_tags |
20
|
| title |
Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data
|