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: 296
Metagenetic analysis of stream community composition based on environmental DNA
A survey of environmental DNA was performed in Tunison Creek downstream of the USGS Tunison Aquatic Laboratory. The goal of the survey was to characterize the source ecological community at multiple trophic or taxonomic levels by associating DNA fragments with reference databases. Three taxonomically informative genetic loci were used: the mitochondrial cytochrome oxidase 1 locus, the mitochondria
Photographs Showing Change in Riparian Vegetation in the Grand Canyon, 1889, 1991, 2010 and other years
The viewpoints were first photographed by Stanton in 1889, and then re-photographed in about 1991, 2010 and sometimes other years. This set of photos focuses on change in riparian vegetation and partially overlaps a larger set of Stanton viewpoints re-photographed by Webb and others and available at http://wwwpaztcn.wr.usgs.gov/fscc/stanton-repeat-photography/index.php. The file of descriptive inf
Laboratory Data on Cabbage Looper Moth Response to Xanthotoxin, 2018
A dataset of caterpillar performance in an experiment manipulating mean and variance of xanthotoxin levels in diet. Caterpillar growth, development time, and egg production of mated females is presented. Data were collected by all authors in 2017 in a laboratory at Colorado State University, Fort Collins, CO.
Spatial data sets to support conservation planning along the Colorado River in Utah
With the help of local and regional natural resource professionals, we developed a broad-scale, spatially-explicit assessment of 146 miles (~20,000 acres) of the Colorado River mainstem in Grand and San Juan Counties, Utah that can be used to support conservation planning and riparian restoration prioritization. For the assessment we: 1) acquired, modified or created spatial datasets of Colorado R
Spatial datasets to support analysis of the influence of tributary junctions on patterns of fluvial features and riparian vegetation along the Colorado and Dolores Rivers (Utah and Colorado).
To examine potential influence of tributaries on riparian habitat complexity along ~216 km of the Colorado River in Utah and ~300km of the Dolores River in Colorado and Utah, we first classified fluvial features and land cover of the bottomland on remotely sensed imagery. We then examined riparian and geomorphic patterns within the near channel zone with variably-sized spatial units. We used super
Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Plots Points and Photographs
The Mojave Plots Points data are 1,219 plot locations in the Central Mojave Desert where field data were recorded and photographs were taken from 1997-1999 to provide context for the classification of the Central Mojave Desert into various vegetation classes. The 1,219 plot locations in the plots points shapefile (plots_points.shp) are each assigned a unique identifier called the FinalPlotCode. T
North American Grid-Based Sampling Frame
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km res
North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame
The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely tr
Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame
The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely tr
River Channel Survey Data, Redwood Creek, California, 1953-2013
Dr. Richard Janda of the USGS began a channel monitoring program in Redwood Creek in northern coastal California in 1973. The USGS continued this work through 2013, when the Research Geologist, Dr. Mary Madej retired. This effort produced 40 years of channel change data in rivers that were disrupted by severe erosion following timber harvest of old-growth redwood forests, a portion of the program'
Data for modeling tegu lizard distributions in the Americas
This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes field data of thinned occurrence locations and random background locations and un-thinned occurrence locations and targeted background locations for three species of tegu lizards in South America. Predictors included bioclimatic, t
Genetic and functional connectivity data for greater sage-grouse across the species range generated 2005-2015 (ver. 2.0, December 2022)
Functional connectivity, quantified using landscape genetics, can inform conservation through the identification of factors linking genetic structure to landscape mechanisms. We used breeding habitat metrics, landscape attributes, and indices of grouse abundance, to compare fit between structural connectivity and genetic differentiation within five long-established Sage-Grouse Management Zones (MZ