Data

The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation...

This dataset contains vegetation data collected at a variety of watershed restoration sites across southeastern Arizona over 5 years. The semiarid habitats in the Madrean Archipelago Ecoregion, which extends from southern Arizona into northern Mexico, are facing many challenges from climate change to land use change which threaten the ecological and cultural values of the region...

We investigated whether foraging habitat, sex, or fidelity to a foraging area effected blood mercury concentrations in western gulls (Larus occidentalis) from three colonies on the west coast of the United States. Dataset includes total mercury concentrations in western gulls from three colony locations and associated foraging habitat of individual gulls. These data support the following

This data release includes 2 child items with tracking data for Whimbrels, a shorebird found throughout tundra and boreal habitats of Alaska during the summer and winters along the coasts of the continental U.S., and central and South America. Child Item 1: "Argos Satellite Tracking Data for Whimbrels (Numenius phaeopus) - Processed Data" -- Quality-controlled data collected from Argos...

Rabbit hemorrhagic disease, a notifiable foreign animal disease in the USA, was reported for the first time in wild native North American rabbits and hares in April 2020 in the southwestern USA. Affected species included the Desert Cottontail (Sylvilagus audubonii), Mountain Cottontail (S. nutallii), Black-tailed Jackrabbit (Lepus californicus), and Antelope Jackrabbit (L. alleni)...

This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L...

Water budget components for 17 hydrologic regions of the United States which contain tribal lands and for the tribal lands within each of these regions. All values represent an average year based upon the years 1971-2000, and are the result of a combined analysis of national datasets.

Synthetic bat call parameters recorded in an anecolic chamber using full spectrum receivers. Data were then converted to zero-crossing format to measure parameters such as minimum, average and maximum frequency, number of echoes and number of correctly identified files

This data release supports the manuscript entitled "Warmer temperatures interact with salinity to weaken physiological facilitation to stress in freshwater fishes", and includes one data set with values representing the physiological responses of freshwater fishes to salinity and temperature gradients in field surveys from the Wyoming Range (2015 to 2017) and laboratory experiments (2017...

This dataset provides information on the identity and number of insects that emerged from thaw pond basins on the central Arctic Coastal Plain, Alaska, during the summer growing season in 2012 and 2013. Collections were made using passive floating emergence traps in pond centers and margins from four types of ponds: low centered polygons, troughs, small coalescent, and large coalescent...

This data release is composed of three crustal (as opposed to subduction zone) geologic input datasets for the 2023 Alaska update to the U.S. National Seismic Hazard Model (NSHM): 1) fault section vector line data, 2) fault zone vector polygon data, and 3) accompanying earthquake geology attributes.

The North American Bat Monitoring Program: R Data Connection Package can be used to extract and upload data to the NABat Monitoring Program through the GQL API. This software is written as a wrapper around the NABat GQL API. Documentation for the database and API can be found at https://sciencebase.usgs.gov/. This code includes the ability to reformat NABat data, upload NABat data...