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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 on cone production in pinyon pine in the Southwestern USA from 2003-2016

Data were collected on pinyon pine cone production using the cone scar method (Redmond et al 2016 Forest Ecology and Management) from 2003-2016 among sites in the Southwest USA. Long-term weather data (Vapor Pressure Deficits and monsoonality) were associated with cone scar data to assess weather-correlates of cone production.

Data Release: Possibility for reverse zoonotic transmission of SARS-CoV-2 to free-ranging wildlife: a case study of bats

The table illustrates global patterns of betacoronavirus (β-CoV) associations in bats. The table lists bat species in which betacoronaviruses (β-CoVs) were detected, organized by viral subgenera and clade [for Sarbecorviruses], bat family, bat suborder, and general global region where the species of bat occurs. Reference to the published literature sources of information for each row are listed in

Location and phenology observations for beaked hazelnut (Corylus cornuta), Oregon grape (Mahonia aquifolium), and salal (Gaultheria shallon) in western North America

These data provide the locations and phenological dates of three shrub species: beaked hazelnut (Corylus cornuta), Oregon grape (Mahonia aquifolium), and salal (Gaultheria shallon), collected from various publicly available data sources including data from USFS Forest Inventory and Analysis program, USFS R-6 Ecology Program, US National Park Service, USDI Bureau of Land Management, USA National Ph

Data Release associated with Data Series - DOI/GTN-P Climate and Active-Layer Data Acquired in the National Petroleum Reserve-Alaska and the Arctic National Wildlife Refuge, 1998-2019 (ver. 3.0, March 2021)

This release provides data collected by the climate monitoring array of the U.S. Department of the Interior on Federal lands in Arctic Alaska over the period August 1998 to July 2019; this array is part of the Global Terrestrial Network for Permafrost (DOI/GTN-P). In addition to presenting data, this release also describes monitoring, data collection, and quality-control methods. The array of 16 m

Riparian vegetation, topography, sediment quality and river corridor geomorphology in the Lower Virgin River 2010-2017

Plant composition, geomorphic conditions and sediment properties before (2010-2012) and after (2015-2017) the arrival of a biocontrol agent (defoliating beetle in the Diorhabda genus) of invasive Tamarix spp. The data contains four csv files: localization (UTM coordinates of the transects), vegetation and geomorphology, species codes and sediment quality

Sediment Chemistry and Physical Properties from Sediments in the Aztec Drinking Water Reservoir #1

The elemental concentration over time of sediments from four trenches from the Aztec drinking water reservoir #1 was measured. The source of water to the reservoir is the Animas River, which has historical mining sites in the watershed. In order to evaluate the geochemical record in the sediments, several types of data were collected. Bulk chemical analysis of sediments with depth in the reservoir

Brown Treesnake counts during visual encounter surveys at three walking paces, Guam 2016

We evaluated three walking paces to estimate (1) how snake detection rate per unit distance changes with increasing pace, and (2) how total number of snakes found by the end of a night of surveying varies with pace when the amount of surveying time per night is held constant. For a ?fast? pace we searched the 220 meter-long transect in 10 minutes, corresponding to a walking pace of 1.32 km/h, wher

Input and Output Data for the Application of the Precipitation-Runoff Modeling System (PRMS) to Simulate Near-Native Streamflow in the Upper Rio Grande Basin

This data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potentia

Photogrammetric data collected by small unoccupied aircraft system for vegetation analysis at three study reaches along the Verde River, Arizona, December 2017

The U.S. Geological Survey collected low-altitude airborne visual imagery via a multirotor, small unoccupied aircraft system (sUAS) along with Real Time Kinematic (RTK) GPS survey data at three study sites (Beasley Flat, Childs, and Sheep Bridge) along the Verde River in Arizona in December 2017. Visual imagery was collected in jpg format and Structure from Motion techniques were applied to the vi

Input and Output Data used to Compare Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico

Three separate hydrologic models were used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque, New Mexico that exhibits flashy, monsoonal-driven, storm runoff events. This data release contains the input and output files associated with the hydrologic simulations of each of the following models: Hyd

Estimated habitat suitability for the American burying beetle using land cover classes in the Southern Plains (ver. 1.1, June 2020)

Potentially suitable habitat for the American burying beetle (Nicrophorus americanus) was identified within their Southern Plains range. The American burying beetle (ABB) is listed as endangered under the Endangered Species Act, but in 2019 the U.S. Fish and Wildlife Service proposed to reclassify this species as threatened. We applied a deductive model for the ABB that identified potentially suit

Detection and non-detection records of Saipan's terrestrial herpetofauna, 2018

There are two datasets included in this entry. The diurnal dataset contains 28 columns of data collected during transects surveys. The nocturnal dataset contains 52 columns. We randomly select 56 sites, each 50 m in length, from 37,968 m of transects spanning the island that were originally created for bird surveys in 1982 through the cooperative efforts of the U.S. Fish and Wildlife Service, the