Spatial Extent of Data
USGS Data Source
ISO 19115 Topic Category
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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.
| Author(s) |
Jordan S Read  ,
Xiaowei Jia ,
Jared Willard,
Alison P Appling ,
Jacob A Zwart ,
Samantha K Oliver ,
Anuj Karpatne,
Gretchen J.A. Hansen,
Paul C. Hanson,
William D Watkins ,
Michael Steinbach,
Kumar Vipin
|
| Publication Date | 2019-11-13 |
| Beginning Date of Data | 1980-04-01 |
| Ending Date of Data | 2018-12-31 |
| Data Contact | |
| DOI | http://dx.doi.org/10.5066/P9AQPIVD |
| Citation | Read, J.S., Jia, X., Willard, J., Appling, A.P., Zwart, J.A., Oliver, S.K., Karpatne, A., Hansen, G.J., Hanson, P.C., Watkins, W.D., Steinbach, M., and Vipin, K., 2019, Process-guided deep learning water temperature predictions: 4c All lakes historical training data: U.S. Geological Survey data release, http://dx.doi.org/10.5066/P9AQPIVD. |
| Metadata Contact | |
| Metadata Date | 2020-08-20 |
| Related Publication | There was no related primary publication associated with this data release. |
| Citations of these data | Loading https://doi.org/10.1029/2019WR024922 |
| Access | public |
| License | http://www.usa.gov/publicdomain/label/1.0/ |
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Harvest Source: ScienceBase
Harvest Date: 2021-11-19T04:42:53.907Z
Harvest Date: 2021-11-19T04:42:53.907Z