18 datasets found
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Federal
Process-guided deep learning water temperature predictions: 5a Lake Mendota detailed prediction data recent views
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Process-guided deep learning water temperature predictions: 5 Model prediction data recent views
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data recent views
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature... -
Federal
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data recent views
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature... -
Federal
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data recent views
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data recent views
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data recent views
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature... -
Federal
Process-guided deep learning water temperature predictions: 5 Model prediction data recent views
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data recent views
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Natural and Observed flow at gauging stations from Presidio, Texas, to the outlet of the Rio Grande/Bravo from 1900 to 2011 recent views
Department of the Interior —
This dataset contains the input files, script, and output files regarding 110 years of daily regulated (observed) and naturalized streamflow (million cubic... -
Federal
Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE) recent views
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE) recent views
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Process-guided deep learning water temperature predictions: 6c All lakes historical evaluation data recent views
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
Federal
Drought Risk and Adaptation in the Interior (DRAI) Database of Interviews with DOI/Tribal land managers in northwest Colorado, southwest South Dakota, and Wind River Reservation in Wyoming, 2013-2016 recent views
Department of the Interior —
The purpose of this study was to understand how the U.S. Department of Interior’s federal land and resource managers and their stakeholders (i.e., NPS, BLM, FWS, BOR,... -
Federal
Drought Risk and Adaptation in the Interior (DRAI) Database of Interviews with DOI/Tribal land managers in northwest Colorado, southwest South Dakota, and Wind River Reservation in Wyoming, 2013-2016 recent views
Department of the Interior —
The purpose of this study was to understand how the U.S. Department of Interior’s federal land and resource managers and their stakeholders (i.e., NPS, BLM, FWS, BOR,... -
Federal
Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data recent views
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature...
18 datasets found