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Federal
Estimated tree mortality, basal area, climate, and drought conditions for ponderosa pine in forest inventory plots across the western U.S.
Department of the Interior —
These data consist of environmental covariates and estimated plot-level mortality of ponderosa pine trees. Environmental covariates include growing season temperature... -
Federal
Basin characteristics rasters for New Jersey StreamStats 2022
Department of the Interior —
The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), calculated several basin characteristics as part... -
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
Terrestrial Lidar scans of conifer forests in Sequoia and Kings Canyon National Parks
Department of the Interior —
Dataset contains 32 terrestrial lidar scans of conifer forests and associated shapefile of locations in Sequoia and Kings Canyon National parks from the summer of... -
Federal
Site characterization and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States
Department of the Interior —
These data consist of environmental covariates, measured plot-level and tree characteristics for seven coniferous tree species across the southwestern United States.... -
Federal
Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021
Department of the Interior —
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of... -
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
Forest conditions following the 2018 Carr Fire at Whiskeytown National Recreation Area
Department of the Interior —
This data release provides forest structure information including basal area and stem density by genus and mortality status for overstory and sapling trees in 149... -
Federal
Model input for 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
Forestry and soil moisture data from Sugarloaf Creek Basin, CA; 1970-2017
Department of the Interior —
The data from Sugarloaf Creek Basin (SCB) in Sequoia Kings Canyon National Park contained herein include forest inventory plots which were installed in 1970 and re-... -
Federal
Data and analytical code associated with pinyon jay local-scale density-habitat relationship model (2008 - 2020) in the InterMountain West, USA
Department of the Interior —
This data release provides pinyon jay (Gymnorhinus cyanocephalus) counts and local-scale vegetation data associated with summertime point count surveys conducted... -
Federal
Dead Tree Detection Validation Data from Sequoia and Kings Canyon national parks
Department of the Interior —
Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree... -
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
Terrestrial Invertebrate Diversity and Occurrence in Restored Hardwood Forest Floodplains, Indiana, United States, June – August 2016
Department of the Interior —
To determine the progress of restoration, insect populations were sampled at four mitigation sites using walking butterfly transects and Malaise/pitfall insect traps.... -
Federal
Northern Nevada aspen (Populus tremuloides) data (2010-2011) (ver. 2.0, January 2024)
Department of the Interior —
This dataset contains two phases of research. The first dataset includes several variables that were sampled across aspen stands in the Santa Rosa, Ruby, and Jarbidge... -
Federal
MIDN and NCBN Forest Monitoring 2007-2025 Data Package
Department of the Interior —
The Inventory and Monitoring (I&M) Division's Mid-Atlantic Network (MIDN) and Northeast Coastal and Barrier Network (NCBN) have identified forest vegetation, and... -
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
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
Mid-Atlantic Network and Northeast Coastal and Barrier Network Forest Health Field Database
Department of the Interior —
The Mid-Atlantic Network and Northeast Coastal and Barrier Network Forest Health Database is a Microsoft Access front end application designed to connect to a local... -
Federal
Snag fall data from long term forest dynamics plots in the Sierra Nevada of California through 2021
Department of the Interior —
These snag (dead tree) fall data were collected as part of long term forest dynamics data. Tree fall data were collected non-systematically as text comments until...