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  3. Magnetotelluric sounding data in the Silverton Caldera complex, Colorado, 2018
  4. Magnetotelluric sounding data in the Silverton Caldera complex, Colorado, 2018, station mtcc05

Magnetotelluric sounding data in the Silverton Caldera complex, Colorado, 2018, station mtcc05

Dates

Publication Date
Start Date
2018-07-14
End Date
2018-07-16

Citation

Cox, E.M., Rodriguez, B.D., Bloss, B.R., and Yager, D.B., 2021, Magnetotelluric sounding data in the Silverton Caldera complex, Colorado, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9OVM0AE.

Summary

This data release includes magnetotelluric (MT) sounding data collected in July 2018 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 22 sites along four profiles ranging from 3 to 6 kilometers in length across the north-western structural margin of the Silverton caldera in Mineral Basin (MB01-MB05), across the south-eastern margin of the caldera along Cunningham Creek (CC01-CC05), within the caldera in Eureka Graben (EG01-EG05), and within the caldera along upper Cement Creek near the Gold King mine (GK01-GK09).

Contacts

Point of Contact :
Evan M Cox
Originator :
Evan M Cox, Brian D Rodriguez, Benjamin Bloss, Douglas B Yager
Metadata Contact :
Evan M Cox, GS GGGSC DM Team
Publisher :
U.S. Geological Survey
USGS Mission Area :
Energy and Minerals
USGS Program :
Mineral Resources Program
SDC Data Owner :
Geology, Geophysics, and Geochemistry Science Center
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

mtcc05_meta.xml
Original FGDC Metadata
View 		15.12 KB application/fgdc+xml
mtcc05.edi 7.95 KB text/plain
mtcc05.png thumbnail 105.64 KB image/png
mtcc05.mth5 885.98 MB application/x-hdf

Purpose

The purpose of this data release is provide MT station locations, time-series data, and estimated MT transfer functions to the public.
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