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 for a Comprehensive Survey of Fault Zones, Breccias, and Fractures in and Flanking the Eastern Espanola Basin, Rio Grande Rift, New Mexico
This release provides the data for a comprehensive survey of geologic structures in the eastern Espaola Basin of the Rio Grande rift, New Mexico. The release includes data and analyses from 53 individual fault zones and 22 other brittle structures, such as breccia zones, joints, and veins, investigated at a total of just over 100 sites. Structures were examined and compared from poorly lithified T
Groundwater Data for Colorado
The USGS annually monitors groundwater levels in thousands of wells in the United States. Groundwater level data are collected and stored as either discrete field-water-level measurements or as continuous time-series data from automated recorders.
A Multiscale Index of Landscape Intactness for the Western U.S.
Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence. We developed a multiscale index of landscape intactness for the Bureau of Land Managements (BLM) landscape approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a
USMIN Mineral Resource Data for the U.S. Geological Survey Sagebrush Mineral-Resource Assessment Project
The point and polygon layers within this geodatabase represent locations of mineral occurrences, mines, mining and mineral districts and sites of active mineral exploration within or near the Department of the Interior (DOI) Sagebrush Focal Areas in Montana, Wyoming and Utah, central Idaho, and the Oregon-Nevada-Idaho border area. The data were compiled by the U.S. Geological Survey (USGS) Mineral
Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps for the Western United States
This data release has been updated in 2017 with a newer version that includes additional states.
It is recommended to use the updated data and map services of the new data release located at: https://doi.org/10.5066/F78W3CHG
These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect
Locatable Mineral Assessment Tracts for the U.S. Geological Survey Sagebrush Mineral Resource Assessment Project
The polygon (vector) feature class represents locatable mineral resource assessment tracts (tracts of land) associated with the Department of the Interior (DOI) Sagebrush Focal Areas in Montana, Wyoming and Utah, central Idaho, and the Oregon-Nevada-Idaho border area. The mineral resources tracts are geographic areas that were assessed by the U.S. Geological Survey (USGS) and were determined to be
Surface area of solar arrays in the conterminous United States
The U.S. Geological Survey (USGS) Fort Collins Science Center created a national data set of the footprint area of solar arrays for the Bureau of Land Managements National Operations Center. We identified potential solar facility locations for the conterminous U.S. using the U.S. Energy Information Administration (EIA) utility-scale facilities data from 2015. The footprint area of each solar array
Volcano Monitoring Data
Many volcanoes in the U.S. are monitored by arrays of several instruments that detect subtle movements within the earth and changes in gas and water chemistry. The Volcano Hazards Program streams this data to its Volcano Observatories and makes it available on volcano-specific websites.
Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011
This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGSs GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was ca
Statistically-downscaled monthly historical (1901-2000) CRU TS 2.1 and projected future (2001-2099) CMIP3 A2 and A1B simulated temperature, precipitation, and sunshine data on a 30-second grid of the northwest United States and southwest Canada, version 1
This data set consists of monthly mean temperature (degrees C), total precipitation (mm), and possible sunshine (%) data statistically downscaled onto a 30-second grid of the northwest United States and southwest Canada. Historical climate data for 1901-2000 were developed from the CRU CL 1.0, CRU CL 2.0, and CRU TS 2.1 data sets (http://www.cru.uea.ac.uk/cru/data/hrg/). Projected future climate d
Bioclimatic variables calculated from statistically-downscaled historical (1901-2000) CRU TS 2.1 climate data and projected future (2001-2099) CMIP3 A2 and A1B simulated climate data on a 30-second grid of the northwest United States and southwest Canada,
This data set consists of a set of bioclimatic variables calculated from monthly mean temperature (degrees C), total precipitation (mm), and possible sunshine (%) data on a 30-second grid of the northwest United States and southwest Canada. Historical climate data for 1901-2000 were developed from the CRU CL 1.0, CRU CL 2.0, and CRU TS 2.1 data sets (http://www.cru.uea.ac.uk/cru/data/hrg/). Projec
LPJ biomes (30-year mean) simulated using monthly historical (1901-2000) CRU TS 2.1 climate data and projected future (2001-2099) CMIP3 A2 and A1B simulated climate data on a 30-second grid of the northwest United States and southwest Canada, version 1.0
This data set consists of biomes (30-year mean) simulated using LPJ, a dynamic global vegetation model (Sitch et al. 2003, Global Change Biology 9:161-185), for a 30-second grid of the northwest United States and southwest Canada. Shafer et al. (2015, PLoS ONE 10: e0138759) describe the methods used to create the biome data. LPJ was run for 1901-2000 using historical climate data developed from th