Data

The data represent a collection of six different traits related to conifer fire resistance morphology and flammability. These traits have been combined into a single fire resistance score, contained as a variable within the data table. The raster file shows the distribution of this variable across space, specifically western North America.

The purpose of this data release is to present well location and construction data for select wells representing the water table in eastern Albuquerque and the selected groundwater-level measurements at the wells from the winters of 2008 and 2016. Construction and groundwater-level measurement data include screening intervals at the water table, reference elevation, depth to water in feet and elev

Tables of U- and Th-isotopic data used to calculate uranium-series age estimates and initial 234U/238U activity ratios as well as 87Sr/86Sr, delta 13C, and delta 18O for samples of phreatic speleothems from Wind Cave National Park and U- and Sr-isotopic compositions of waters from the southern Black Hills of South Dakota, USA

The Homestake Reservoir 7.5' quadrangle lies at the northwestern end of the Upper Arkansas Valley, and headwaters of the Arkansas River, and the Roaring Fork, Fryingpan, and Eagle Rivers of the Colorado River system. The quadrangle lies within tectonic provinces of the 1.4 Ga Picuris Orogeny, the late Paleozoic Ancestral Rockies, Late Cretaceous-Paleocene Laramide orogeny, Oligocene to Miocene, an

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-measured in 2017 for tree and shrub inventories; classified vegetation layers produced from raster images collected in 1973 from aerial orthophotos and in 2014 from satellites; spatially-distributed soil moisture measurements made from

This geologic map depicts and briefly describes geologic units underlying Petroglyph National Monument and immediately adjacent areas in Bernalillo County, New Mexico. The Monument is underlain dominantly by Quaternary basalts of the Albuquerque Volcanoes volcanic field, a series of basin-filling volcanic flows and associated vents from a monogenetic volcanic highland along the eastern margin of t

This dataset contains sample collection information for whole genome sequences of Gunnison and Greater Sage-grouse. These data were collected in order to examine patterns of adaptive genetic variation in Greater and Gunnison Sage-grouse. The data is archived in GenBank at the following URL https://www.ncbi.nlm.nih.gov/bioproject/531321.

Genetic networks can characterize complex genetic relationships among groups of individuals, which can be used to rank nodes most important to the overall connectivity of the system. Ranking allows scarce resources to be guided towards nodes integral to connectivity. The greater sage-grouse (Centrocercus urophasianus) is a species of conservation concern that breeds on spatially discrete leks that

Compressional- (P-) wave seismic refraction data were acquired in December 2018 and July 2019 along fourteen profiles within the spillway of Success Dam in Porterville, California. A new concrete ogee weir is planned for construction within the existing spillway, and the P-wave seismic velocity models will be used to inform further geotechnical investigations, including siting new geologic borings

Ecosystem accounts link national-scale environmental and economic trends, offering an internationally standardized approach to tracking sustainability. We compile ecosystem accounts for Rwanda over a 25-year period, and demonstrate that despite strong economic growth, social development, and high-level commitment to environmental goals, ecosystem services fundamental to Rwanda's well-being have de

Water chemistry and land cover attributes for The Loch and Sky Pond, Rocky Mountain National Park. These data were part of a larger survey (data from other sources) used to describe drivers of change to mountain lake productivity.

The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector lay