Return to search results
💡 Advanced Search Tip
Search by organization or tag to find related datasets
Process-guided deep learning water temperature predictions: 4c All lakes historical training data
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.
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/ab70ff8cdaa91cd63ce84c5cde584d21 |
|---|---|
| bureauCode |
[ "010:00" ] |
| identifier | 3cdea491-5c1b-4ad4-868f-476e035138d0 |
| spatial | -94.2609062308,42.5692312673,-87.9475441739,48.6427837912 |
| theme |
[ "geospatial" ] |
