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Federal
Predicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region
Department of the Interior —
Values for predicted probabilities of avian species occupancy were determined using colonization-extinction models (MacKenzie and others, 2003) as implemented in R... -
Federal
Data describing site characteristics including conifer regeneration following the 2018 Carr Fire in Whiskeytown National Recreation Area
Department of the Interior —
This dataset provides seedling density and site characteristics for 131 plots in Whiskeytown National Recreation area in California, USA. Site characteristics include... -
Federal
Model output from Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017
Department of the Interior —
The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow... -
Federal
Ellsworth Huntington’s (1914) giant sequoia ages and tree-ring measurements from 458 stumps in Sequoia National Forest and Mountain Home Grove
Department of the Interior —
These data include giant sequioa (Sequoiadendron giganteum) age and tree-ring data from measurements on 458 stumps. The original data were recorded on paper data... -
Federal
Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region
Department of the Interior —
Values for area of all occupied habitat were only obtained for species whose occupancy models predicted a marked proportion of the species' population was likely... -
Federal
Probability of Land Cover Classification Estimates for the Kenai Peninsula Lowlands; 1973, 2002, and 2017
Department of the Interior —
The raster image represents a continuous surface of estimated land cover type probabilities for the western Kenai Peninsula circa 1973, circa 2002, and circa 2017.... -
Federal
Land Cover Series Estimates for the Kenai Peninsula Lowlands; 1973, 2002, and 2017
Department of the Interior —
These raster images represent continuous surfaces of estimated land cover types for the western Kenai Peninsula circa 1973, circa 2002, and circa 2017. This raster... -
Federal
Land Cover Estimates for the Kenai Peninsula Lowlands, 1973, 2002, and 2017
Department of the Interior —
These raster images represent continuous surfaces of estimated land cover types for the western Kenai Peninsula circa 1973, circa 2002, and circa 2017. The estimated... -
Federal
Data for use in poscrptR post-fire conifer regeneration prediction model
Department of the Interior —
These data support poscrptR (wright et al. 2021). poscrptR is a shiny app that predicts the probability of post-fire conifer regeneration for fire data supplied by... -
Federal
Traits and Factors Catalog (TRAFAC): Hardwood specialists of North America
Department of the Interior —
These data were compiled in support of the 'Predicting the next high-impact insect invasion: Elucidating traits and factors determining the risk of introduced... -
Federal
Predicted Avian Species Occupancy within the Mississippi Alluvial Valley Bird Conservation Region
Department of the Interior —
Values for area of occupied habitat by each species were obtained as the predicted occupied proportion of each 900 square meter pixel (i.e., occupancy probability x... -
Federal
UAS Imagery at Whiskeytown National Recreation Area in 2018 and 2019 following the Carr Fire
Department of the Interior —
Raw aerial photography, orthorectified imagery, point cloud data, and digital elevation models (DEMs) for Whiskeytown National Recreation Area (NRA) following the... -
Federal
Phenology pattern data indicating recovery trajectories of ponderosa pine forests after high-severity fires
Department of the Interior —
This tabular, machine-readable CSV file contains annual phenometrics at locations in ponderosa pine ecosystems across Arizona and New Mexico that experienced stand-... -
Federal
Vermillion/Cannon River Bottoms Important Bird Area Raw Breeding bird survey data
Department of the Interior —
We sampled vegetation and breeding birds in Upper Mississippi River floodplain forest edge and interior areas to (1) measure Phalaris cover and (2) evaluate if the... -
Federal
Calibration and validation data and model coefficients for mixed conifer vulnerability project from Sequoia and Kings Canyon National Park 2015 to 2019
Department of the Interior —
These datasets contain the attributes of individual trees located in and around Sequoia and Kings Canyon national parks. Attributes include remote sensing indices,... -
Federal
Avian point count survey-specific data in Northern New England 2013 to 2015
Department of the Interior —
Avian point count, vegetation, and management data from surveys in Northern New England at four National Wildlife Refuges (NWRs), Baxter State Park, and prviate lands... -
Federal
Sequoia foliage dieback and tree-ring data from Sequoia National Park
Department of the Interior —
These datasets provide spatially-explicit estimates of the magnitude of giant sequoia foliage dieback along selected trail corridors in Sequoia and Kings Canyon... -
Federal
Basin Characteristics Rasters for Pennsylvania StreamStats 2020
Department of the Interior —
In cooperation with the Federal Emergency Management Agency, the Pennsylvania Department of Transportation, the Pennsylvania Department of Environmental Protection,... -
Federal
Forest stands and LiDAR derived model estimates of marbled murrelet (Brachyramphus marmoratus) occupancy in the Coos Bay BLM District, Southwestern Oregon
Department of the Interior —
We used murrelet occupancy data collected by the Bureau of Land Management Coos Bay District and canopy metrics calculated from discrete return airborne LiDAR data to... -
Federal
Felsenthal National Wildlife Refuge green-tree reservoir study
Department of the Interior —
A green-tree reservoir (GTR) is a stand of bottomland hardwoods that is intentionally flooded in the fall and winter to support migrating waterfowl. Bottomland...