Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
Description
This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). 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).
Resources
| Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
http://dx.doi.org/10.5066/P9AQPIVD |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.5d89d8e3e4b0c4f70d0ae4dc.xml |
Tags
- environment
- mn
- reservoirs
- hybrid-modeling
- 012
- modeling
- temperate-lakes
- deep-learning
- wi
- united-states
- thermal-profiles
- usgs-5d89d8e3e4b0c4f70d0ae4dc
- 007
- us
- inlandwaters
- climate-change
- water
- temperature
- wisconsin
- minnesota
- machine-learning