Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains
Data from 102 magnetotelluric (MT) stations collected from 2012 through 2014 in this area to improve regional conductivity models of the western United States. |
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Physical properties by geologic unit in the southern San Luis basin, New Mexico
Rock density and magnetic susceptibility measurements of samples drawn from this area. Data are provided in CSV format. |
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Legacy Geochemical Data from Hardcopy Records of Selected Past U.S. Geological Survey Projects
Geochemical data from selected USGS projects from the 1960s-1980s that were previously not published as digital data. Includes geochemical analyses from 36,498 samples of various types using analytical methods and instruments that were current when those studies were carried out. Data are provided in Microsoft Access, shapefile, and CSV formats. |
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Principal facts of gravity data in the southern San Luis Basin, northern New Mexico
Gravity data were collected from 2006 through 2015 to assist in mapping subsurface geology in this area. Includes principal facts for 567 new gravity stations that were acquired to fill in gaps in previously-available gravity data. Data are provided in CSV format. |
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Data for a Comprehensive Survey of Fault Zones, Breccias, and Fractures in and Flanking the Eastern Espanola Basin, Rio Grande Rift, New Mexico
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. Includes geologic maps; field observations and measurements; orientation, kinematic paleostress analyses and modeling; statistical examination of 575 fault trace lengths; mineralogy and chemistry of host and fault rocks. Data are provided in shapefile and CSV formats. |
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Digital map of iron sulfate minerals, other mineral groups, and vegetation of the San Juan Mountains, Colorado, and Four Corners Region derived from automated analysis of Landsat 8 satellite data
Multispectral remote sensing data acquired by the Landsat 8 Operational Land Imager (OLI) sensor were analyzed using a new, automated technique to generate a map of exposed mineral and vegetation groups in this area. Results are provided in ERDAS Imagine format. |
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