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Data

Staff of USGS Science Centers in Region 7: Upper Colorado Basin collect a wide variety of natural resource data types including spatial, geologic, hydrologic, and biologic. Data included in USGS-series publications that are not publicly available in USGS databases are published in Data Releases. Short descriptions and links to Data Releases produced by Region 7 Science Centers are shown below.

Filter Total Items: 674

Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S.

Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. We present the BA algorithm and products, changes relative

Tracking disturbance and inundation to identify wetland loss

Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover

Digital subsurface data of Paleozoic rocks in the Upper Colorado River Basin in Wyoming, Utah, Colorado, Arizona, and New Mexico from USGS Regional Aquifer System Analysis

The Upper Colorado River Basin has a drainage area of about 113,500 square miles in western Colorado, eastern Utah, southwestern Wyoming, northeastern Arizona, and northwestern New Mexico. In the 1980’s and 1990’s, the Upper Colorado River Basin was a study area under of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) program (Sun and Johnston, 1994; Sun and Weeks, 1991). The

Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals)

These data were created to describe the causes of land cover change that occurred in the Interior Highland region of the United States for the time intervals of 2001 to 2006 and 2006 to 2011. This region, which covers approximately 17.5 million hectares, includes portions of the U.S. states of Arkansas, Missouri, Oklahoma, and Kansas. Most of the area is covered by gently rolling hills of forests

Digital subsurface data of Mesozoic rocks in the Upper Colorado River Basin in Wyoming, Utah, Colorado, Arizona, and New Mexico from USGS Regional Aquifer System Analysis

The Upper Colorado River Basin has a drainage area of about 113,500 square miles in western Colorado, eastern Utah, southwestern Wyoming, northeastern Arizona, and northwestern New Mexico. In the 1980's and 1990's, the Upper Colorado River Basin was a study area under of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) program (Sun and Johnston, 1994; Sun and Weeks, 1991). The

Data for modeling fountain grass and bishop's goutweed in the contiguous US

This data bundle contains the merged data sets to create models for bishop's goutweed and fountaingrass using the VisTrails:SAHM [SAHM 2.1.0]. We developed species distribution models for both species following a workflow designed to balance automation and human intervention to produce models for invasive plant species of concern to U.S. land managers. Location data came from existing databases ag

Data collected about behavioral responses to high temperatures in desert grassland bird in 2007, 2011-2013

These data include information about the year, date, time, and shrub identifying number where the following data were collected - the number of Grasshopper Sparrows that were flushed from the shrub, the air temperature (not in direct sun), relative humidity (not in direct sun), ground temperature in sun, ground temperature beneath shrub, air temperature in the shrub, and relative humidity within t

Precipitation and acoustic monitoring results associated with Arizona 1 and Pinenut uranium mines collected 2015-2016

Acoustic monitoring stations were comprised of Wildlife Acoustics SMBAT2+ bat detectors powered by a 6v 36 AH (Powersonic, Model PS-6062NB) external battery and charged by a 6v solar panel (Brunton Solarflat) with a 6/12 voltage regulator (Rogue Engineering Inc.). Detectors were programmed to turn on at 1800 hours and monitor continuously throughout the night when triggered automatically by echolo

Airborne Magnetic Surveys over Oklahoma, 2017

Airborne magnetic surveys were conducted in Oklahoma from August 11th, 2017-October 28th, 2017, by Goldak Airborne Surveys. Here we present downloadable flight line data from those surveys in comma-separated values (csv format). Three areas were flown along a draped surface with a nominal survey height above ground of 120 meters. The flight line spacing for these areas was 200 to 400 m for Area 12

Genetic detection of Lake Sinai Virus in honey bees (Apis mellifera) and other insects

Lake Sinai Viruses (LSV) are common ribonucleic acid (RNA) viruses of honey bees (Apis mellifera) that frequently reach high abundance but are not linked to overt disease. LSVs are genetically heterogeneous and collectively widespread, but despite frequent detection in surveys, the ecological and geographic factors structuring their distribution in A. mellifera are not understood. Even less is kno

Failed Brown Treesnake bait cartridges from an aerially application in Guam, 2018

The dataset contains 6 columns of data collected during line transect surveys (Line) that evaluated bait cartridge efficacy for Brown Treesnake control on Guam. Two-person teams recorded all bait cartridges observed while walking the center line of transects in the Habitat Management Unit (HMU). Perpendicular distance (DIST (m)) to cartridges from center line was measured to the nearest 0.005 mete

Data on interannual seed set variation, weather, and reproductive traits for global plants

Data were collected on seed production dynamics of long-lived plants, reproductive plant traits of those plant species, and weather variability for sites where those species live. Data include the coefficient of variation in seed production over time, the variation (coefficient of variation or standard deviation) in weather over years, and reproductive traits such as pollination mode and seed disp