Data

These data were compiled to explore the foraging ecology of Rainbow Trout (Oncorhynchus mykiss) in the Colorado River, Grand Canyon, Arizona. These data represent samples characterizing the availability of drifting invertebrate prey (hereafter, drift) and use of these invertebrate prey by rainbow trout determined by gut samples (hereafter, diets). Drift and diet sampling occurred in five...

A random forest regression (RFR) model was developed to predict groundwater fluoride concentrations in four western United Stated principal aquifers - California Coastal basin-fill aquifers, Central Valley aquifer system, Basin and Range basin-fill aquifers, and the Rio Grande aquifer system. The selected basin-fill aquifers are a vital resource for drinking-water supplies. The RFR model...

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error...

False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the three bat species status assessment (SSA) for Myotis lucifigus (MYLU), Myotis septentrionalis (MYSE), and Perimyotis subflavus (PESU). The objectives outlined by the Fish and Wildlife Service's SSA team were to estimate summertime distributions across the entire species...

We present a preliminary point inventory of the landslides associated with the M7.2 Nippes, Haiti, earthquake that occurred on August 14, 2021. The mapping was part of rapid response efforts to identify hazards for situational awareness and emergency response by humanitarian aid organizations. This inventory accompanies an Open-File Report detailing the hazards presented by the...

The GeoTiff raster data were created from subtraction of elevation values collected in 2012 from elevation values collected in 2011. Both data collections were conducted by airborne lidar surveys contracted by the Minnesota Department of Natural Resources. These survey occured before and after a historical rain event that cause widespread landscape change. The shapefiles are polygon...

We generated a spatially explicit map of categories of expected occurrence and density associated with predicted concentrations of resident and transient common ravens (Corvus corax; ravens) using the residuals from a generalized linear regression between the occurrence and density parameters. These data support the following publication: Webster, S.C., O'Neil, S.T., Brussee, B.E...

This data release contains data sets that describe reach-scale water-quality conditions for the Pacific drainages of the United States. The nutrient and water use conditions represent the predictions from recent USGS SPARROW (Spatially Related Regression on Watershed Attributes) modeling as well as other watershed attributes. The SPARROW predictions and other watershed attributes were...

In December of 2018, the U.S. Geological Survey (USGS) signed a Technical Assistance Agreement with a third party to reanalyze 2,324 archived sample splits collected as part of the National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance (HSSR) project from selected areas in Idaho and Montana. A small amount (approximately 0.25 grams [g]) of sieved...

Beginning in November of 2015, the U.S. Geological Survey (USGS) undertook a project to reanalyze approximately 60,000 archived sample splits collected as part of the National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance (HSSR) project from selected areas in Arizona, California, Idaho, Montana, Nevada, New Mexico, and Utah. A small amount...

This ArcGIS Add-In tool assigns telemetry receivers a “river address,” with the National Hydrography Dataset (NHD) flowlines providing the river name (analogous to a street name in a postal address) and a distance along flowline (the house number in a postal address). Using this information, it is possible to sequence receivers along a flowline. Once sequenced, receiver data can then be...

These lidar data are derived from two airborne lidar surveys: a 2016 Los Angeles Region Imagery Acquisition Consortium (LARIAC) survey, and a 2019 National Center for Airborne Laser Mapping (NCALM) survey. These data were reclassified in order to improve the classification of ground points, and to make the classification of both datasets as consistent as possible. The NCALM data had...