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Federal
Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
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
North Pacific Nearshore Sea Surface Temperature (SST) shapefile format (1981-2009)
Department of the Interior —
The Sea Surface Temperature (SST) data of the nearshore region of the North Pacific show temperature ranges in degrees C using points whose locations correspond to... -
Federal
Hydrology and climate elements on the Rio Grande/Bravo basin
Department of the Interior —
This is one of five general categories that contain the water related elements of the Rio Grande/Bravo basin. This category includes some of hydrologic and climatic... -
Federal
Statistically Downscaled Climate Scenarios
Department of the Interior —
PCIC offers statisically downscaled daily climate scenarios, at a gridded resolution of 300 arc-seconds (0.0833 degrees, or roughly 10 km) for the simulated period of... -
Federal
Statistically Downscaled Climate Scenarios
Department of the Interior —
PCIC offers statisically downscaled daily climate scenarios, at a gridded resolution of 300 arc-seconds (0.0833 degrees, or roughly 10 km) for the simulated period of... -
Federal
Dataset 10: New porewater data collection: subplot-level physicochemical
Department of the Interior —
Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity... -
Federal
Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs
Department of the Interior —
This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017)... -
Federal
Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data
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: 3b Sparkling Lake inputs
Department of the Interior —
This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017)... -
Federal
Process-guided deep learning water temperature predictions: 5 Model prediction data
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: 6c All lakes historical evaluation data
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
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: 3a Lake Mendota inputs
Department of the Interior —
This dataset includes model inputs that describe local weather conditions for Lake Mendota, WI. Weather data comes from two sources: locally measured (2009-2017) and... -
Federal
Observed Precipitation, Temperature, and Snow Water Equivalent for the Rio Grande headwaters from 1905-2015
Department of the Interior —
This file summarizes the data found in RG_obs_PTSWEQ.csv used in the analysis of the contribution of precipitation, temperature, and SWE to the interannual... -
Federal
Process-guided deep learning water temperature predictions: 3c All lakes historical inputs
Department of the Interior —
This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et... -
Federal
Data release: Process-guided deep learning predictions of lake water temperature
Department of the Interior —
Climate change has been shown to influence lake temperatures in different ways. To better understand the diversity of lake responses to climate change and give... -
Federal
Empirical Analysis for Identification and Laboratory Validation of Temperature Tolerance for Macroinvertebrates, 2013
Department of the Interior —
These files contains all of the source USGS/EPA taxa, temperature and percent abundance of urban and agricultural land cover within the watershed upstream of the... -
Federal
Process-guided deep learning water temperature predictions: 4c All lakes historical training data
Department of the Interior —
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... -
Federal
Observed Precipitation, Temperature, and Snow Water Equivalent for the Rio Grande headwaters from 1905-2015
Department of the Interior —
This file summarizes the data found in RG_obs_PTSWEQ.csv used in the analysis of the contribution of precipitation, temperature, and SWE to the interannual... -
Federal
Dataset 10: New porewater data collection: subplot-level physicochemical
Department of the Interior —
Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity...