-
Federal
Greater Yellowstone Ecosystem Whitebark Pine Mortality from Mountain Pine Beetle Probability
Department of the Interior —
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of... -
Federal
Measures of Quality and Extent of Partner Involvement with the North Central Climate Adaptation Science Center from a 2017 Web-based Survey
Department of the Interior —
This dataset consists of responses to a standardized, web-based survey of partners and potential partners of the North Central Climate Adaptation Science Center... -
Federal
Physical CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Physical CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Data release for tracking rates of post-fire conifer regeneration distinct from deciduous vegetation recovery across the western U.S.
Department of the Interior —
Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are... -
Federal
Probability of Streamflow Permanence (PROSPER) Model Output Layers, (ver. 2.0, February 2019)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Climatic CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Greater Yellowstone Ecosystem Whitebark Pine Mortality from Mountain Pine Beetle Probability
Department of the Interior —
Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of... -
Federal
Climatic CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Streamflow Observation Points in the Pacific Northwest, 1977-2016
Department of the Interior —
This dataset includes spatial locations in the Pacific Northwest where streamflow observations were recorded. For the purpose of this investigation, all streamflow... -
Federal
Documentation of the Perspectives and Experiences of Partners with the North Central Climate Adaptation Science Center from Two 2017 Focus Groups
Department of the Interior —
This dataset consists of transcripts from two focus groups with science users (1st group) and science producers (2nd group) who were partners of the North Central... -
Federal
Probability of Streamflow Permanence (PROSPER) Model Output Layers, (ver. 2.0, February 2019)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Historical trend analysis of phenology dates across the Western US from 1982 to 2016
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
Data release for tracking rates of post-fire conifer regeneration distinct from deciduous vegetation recovery across the western U.S.
Department of the Interior —
Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are... -
Federal
Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)
Department of the Interior —
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow... -
Federal
Documentation of the Perspectives and Experiences of Partners with the North Central Climate Adaptation Science Center from Two 2017 Focus Groups
Department of the Interior —
This dataset consists of transcripts from two focus groups with science users (1st group) and science producers (2nd group) who were partners of the North Central... -
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
Predicted Likelihood of Grassland to Cropland Conversion in the U.S. Northern Plains and Prairies Given Climate Change
Department of the Interior —
The purpose of this project was to estimate and map the probability that grassland converts to cropland in the northern plains and prairie region given potential... -
Federal
Weather Suitability, 2010-2099, Greater Yellowstone Ecosystem Study Area
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...