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Our interdisciplinary, integrated science teams develop various data sets in support of the USGS mission areas. This information then aids natural resource managers in decision making and support of the complex issues they face in today's world. The data and tools listed here are official USGS data releases.

Filter Total Items: 265

Capsaicin-treated bait trials for Argentine Black and White Tegu lizards in Georgia and Florida, USA 2020-2021

Invasive Argentine Black and White Tegu lizards (Salvator merianae) are trapped with chicken eggs when populations are discovered in the United States. Unfortunately, non-targeted mammals are trapped in tegu lizard traps which reduces trap efficacy. We evaluated if non-target mammal captures could be reduced by coating the chicken eggs with a known irritant to mammals (capsaicin) while maintaining

Sample collection information and microsatellite data for Northern Black Swifts in 6 colonies across Colorado, New Mexico and Idaho

This dataset contains sample collection information and microsatellite genotype data for Northern Black Swifts in 6 colonies across Colorado, New Mexico and Idaho. This data was collected to examine levels of genetic diversity and connectivity among Black Swift colonies and also to assess parentage at a subset of those sites. This study helps clarify the breeding system of the Black Swift and is t

Data on flea control using lufenuron and nitenpyram baits with black-tailed prairie dogs, South Dakota, 2021

We collected fleas from a colony of black-tailed prairie dogs on Buffalo Gap National Grassland, South Dakota, 2021. We collected flea data by combing prairie dogs and swabbing their burrows for fleas. Regarding combing, we anesthetized trapped prairie dogs (and their fleas) with isoflurane in induction chambers for processing. We combed each individual with a fine-tooth comb for 30 seconds to rem

North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities

These data contain the results from the North American Bat Monitoring Program's (NABat) integrated species distribution model (iSDM) for tricolored bats (Perimyotis subflavus). The provided tabular data include predictions (with uncertainty) for tricolored bat occupancy probabilities (i.e., probability of presence) based on data from the entire summer season (May 1–Aug 31), averaged from 2017-2022

North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023)

The dataset is comprised of historical observations and predictions of winter colony counts at known sites for three bat species (little brown bat, Myotis lucifugus; tricolored bat, Perimyotis subflavus; and big brown bat, Eptesicus fuscus). The dataset consists of two separate but related data files in tabular format (comma-separated values [.csv]). Each data set consists of predicted winter coun

Characteristics, presence of erosional features, and cover of vegetation and bare ground on fields formerly enrolled in grassland, wetland, and wildlife practices of the Conservation Reserve Program in the central and western United States from 2017 to 20

Data included in this data set are from edge-of-field surveys that recorded the presence of erosional features, cover of vegetation and bare ground, and management activities (e.g., haying) on 1092 fields that had expired from three types of conservation practices (grassland, wetland, and wildlife) in the Conservation Reserve Program. Field sampling data were recorded across six US Department of A

Wyoming Roads (Updated to 2015 Aerial Photography)

A dataset comprised of road centerlines in Wyoming, USA, digitized to 2015 aerial photography from the National Agriculture Imagery Program. This dataset is an update to a former U.S. Geological Survey Data Series (“Large scale Wyoming transportation data: a resource planning tool”: O'Donnell and others, 2014) digitized to 2009 aerial photography. The U.S. Geological Survey Fort Collins Science Ce

Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame

This data release contains the North American Bat Monitoring Program (NABat) Master Sampling Grid at the 5 km x 5 km scale with biologically relevant covariates for NABat analyses attributed to each cell of the 5 km x 5 km grid frame for the continental United States. It was created using ArcPro and the 'sf', 'tidyverse', 'dplyr' and 'exactextractr' packages in R to extract covariates from multipl

Thresholded abundance models for three invasive plant species in the United States

We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictor

Sagebrush structural connectivity yearly and temporal trends based on RCMAP sagebrush products, biome-wide from 1985 to 2020

This dataset includes modeled outputs for structural connectivity and trends in connectivity patterns in the sagebrush biome of the United States at 270-meter resolution. Connectivity was calculated using an omnidirectional circuit-based algorithm, with sources, targets, and conductance based on sagebrush fractional component from the RCMAP sagebrush products for 1985, 1990, 1995, 2000, 2005, 2010

Diet of burros at Lake Pleasant, Arizona and Sinbad, Utah Herd Management Areas in June and July 2019

We investigated the summer diets of feral burros (Equus asinus) in two ecosystems in which they are found in the United States: a subtropical desert in Arizona (Lake Pleasant Herd Management Area; HMA) and a temperate juniper shrubland in Utah (Sinbad HMA). In June and July of 2019, we gathered 50 burro fecal samples randomly from each location and used plant DNA metabarcoding to determine the bur

Predicted 2020 densities for 11 songbird species across the western United States

Informed wildlife management requires robust information regarding population status, habitat requirements, and likely responses to changing resource conditions. Growing evidence indicates single species management may inadequately conserve communities and result in undesired effects to non-target species. Thus, management can benefit from habitat relationship information for multiple species with