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Data

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: 287

Modeled habitat suitability for five rare plants (Aliciella formosa, Sclerocactus cloverae, Townsendia gypsophila, Astragalus ripleyi, and Cymopterus spellenbergii) in New Mexico

This data bundle contains the final outputs from a VisTrails/SAHM workflow to model the potential distribution of 5 rare plants (Aliciella formosa, Sclerocactus cloverae, Townsendia gypsophila, Astragalus ripleyi, and Cymopterus spellenbergii) in northern New Mexico. These models utilized field data of spatially thinned occurrence locations and random background locations or random plus absence lo

Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends

These data contain the supplementary results corresponding with the journal article: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends by Udell et al. (2024) in Ecological Monographs. These results contain the findings from the North American Bat Monitoring Program's (NABat) "Summer Abundance Status and Trends" analyses which used

Summer Roost Site Suitability Analyses of Four North American Bat Species in the Eastern United States

This data release contains the spatial raster outputs from analyses of summer roost site habitat for each of 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). The included raster data represent the mean suitability for summer roosting habitat fo

North American Bat Monitoring Program (NABat) Predicted Northern Long-Eared Bat Occupancy Probabilities

These data contain the results from the North American Bat Monitoring Program's (NABat) species distribution model (SDM) for the northern long-eared bat (Myotis septentrionalis). The provided tabular data includes predictions (with upper and lower confidence intervals) for northern long-eared bat occupancy probabilities (which represent the probability of presence) based on data from the entire su

US non-native plant occurrence and abundance data and distribution maps for Eastern US species with current and future climate

This is a dataset containing aggregated non-native plant occurrence and abundance data for the contiguous United States. We used these data to develop habitat suitability models for species found in the Eastern United States using locations with 5% cover or greater. We adapted the INHABIT modeling workflow (Young et al. 2020), using a consistent set of climatic predictors that were important in th

Population genetic analysis of the rusty patched bumble bee in extant locations in 2022

This is a dataset of locations and population genetic information based on microsatellite analysis of rusty patched bumble bee (Bombus affinis). Data were collected over the course of two years (2020 and 2021), and genetic analysis took place in 2022.

Amphibian (chorus frog, wood frog, tiger salamander) surveys in Rocky Mountain National Park (1986-2022)

This data release contains information collected during surveys for chorus fogs (Pseudacris maculata), wood frogs (Lithobates sylvaticus) and tiger salamanders (Ambystoma mavortium) conducted in Rocky Mountain National Park (1986 – 2022) by the U.S. Geological Survey. Survey methods included visual encounter and aural surveys, and dip netting. Data collected between 1986 and 1994 focused on named

Maps of multiple future threats and stable areas for Gunnison sage-grouse habitats across three scenarios (2016-2070)

This dataset contains a series of maps of projected threats and current state of habitats for the threatened Gunnison sage-grouse (Centrocercus minimus). The maps are 30-m spatially explicit projections of current habitats (2016) and future landscape change (by 2070) for the full range of the species’ seven extant populations, which cover diverse ecoregions of the imperiled sagebrush biome of the

Sagebrush Collaborative Restoration Landscapes to Support Management Efforts Improving Fire Resiliency and Restoration in the Sagebrush Biome

The sagebrush ecosystem spans over 175 million acres in the western United States, and is biologically, culturally, and economically significant to the country. Many disturbances including prolonged drought, pinyon-juniper encroachment, and cycles of invasive grasses and wildfire, pose significant threats to the resilience of the sagebrush biome. To conserve the sagebrush biome and promote communi

DNA sequences used to analyze evolutionary rates of genes in bats

The dataset consists of sets of orthologous gene sequences obtained from the National Center for Biotechnology Information (NCBI, www.ncbi.nlm.nih.gov) and from Cornman and Cryan (2022). Sequences derive from twelve bat species that are representative of bat diversity and for which high-quality gene models have been annotated. Each gene set was codon aligned and subsequently trimmed as needed for

Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023)

This is a dataset containing the potential distribution of Japanese brome (Bromus japonicus). We developed habitat suitability models for Japanese brome, as suggested by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly c

Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units

We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numer