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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
Data supporting the study of Impacts of Downscaled Climate Model Selection on Projections of Maple Syrup Tapping Season recent views
Department of the Interior —
A final summary figure summarizing the results of a study that compares two different downscaling techniques in terms of how they project future change in various... -
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
Data for project Air Quality Impacts of Climate-Induced Changes on Forest Composition recent views
Department of the Interior —
This data takes existing, pre-published (Wang et al. 2015) forest composition data and converts it to ozone precursor emission potential to understand the impact... -
Federal
Historical trend analysis of phenology dates across the Western US from 1982 to 2016 recent views
Department of the Interior —
These data represent key phenology trends across the western United States from 1982-2016. Using two remote sensing datasets, CMGLSP and VIPPHEN-EVI2, trends were... -
Federal
Process-guided deep learning water temperature predictions: 4 Training data recent views
Department of the Interior —
This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes... -
Federal
Monthly Water Balance Model Futures recent views
Department of the Interior —
A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected... -
Federal
Summary of North Central and South Central Climate Adaptation Science Centers Project Evaluation Survey Data Collected from 2018-2019 recent views
Department of the Interior —
The design of this survey protocol is based on the indicator framework presented in Wall et. al (2017 https://doi.org/10.1175/WCAS-D-16-0008.1) and is intended to... -
Federal
Northern Rockies Weather Suitability 1901_2009 recent views
Department of the Interior —
Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model... -
Federal
Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs recent views
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
Process-guided deep learning water temperature predictions: 4c All lakes historical training data recent views
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
Weather Suitability, 2010-2099, Cascades Study Area recent views
Department of the Interior —
Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model... -
Federal
Projected peak instantaneous rate of green-up date and spring scale across Wyoming from 2000 to 2099 recent views
Department of the Interior —
These data represent projections of peak instantaneous rate of green-up date (PIRGd) and spring scale across Wyoming from 2000-2099. Annual data is provided in... -
Federal
Tribal and Indigenous Projects for all Climate Adaptation Science Centers 2012-2019 recent views
Department of the Interior —
The Climate Adaptation Science Centers have conducted numerous training and skills development activities to support tribal and indigenous partners as they seek to... -
Federal
Data release: Process-guided deep learning predictions of lake water temperature recent views
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
Data for project Air Quality Impacts of Climate-Induced Changes on Forest Composition recent views
Department of the Interior —
This data takes existing, pre-published (Wang et al. 2015) forest composition data and converts it to ozone precursor emission potential to understand the impact... -
Federal
Process-guided deep learning water temperature predictions: 4c All lakes historical training data recent views
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
Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) recent views
Department of the Interior —
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... -
Federal
Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data recent views
Department of the Interior —
This dataset includes compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from... -
Federal
Northern Rockies Weather Suitability 1901_2009 recent views
Department of the Interior —
Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model...