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  4. Developing a USGS Legacy Data Inventory to Preserve and Release Historical USGS Data
  5. Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990
  6. Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: ASCII Data

Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: ASCII Data

Dates

Publication Date
Time Period
1990

Citation

Rodriguez, B.D., Johnson M.R., Sampson J., Falvo, C.I.P., Enns, K.D., Bell, T.M. and Everette, A.L., 2018, Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990: U.S. Geological Survey data release, https://doi.org/10.5066/F7ZK5FW3.

Summary

The ASCII data included in this data release are the intermediary files between the original binary and final EDI formatted files. These ASCII formatted time series and cross power files are what the DaR project acquired and converted into EDI format for this data release using open-source software developed by the DaR project team (Wight, D.E., 1988). The Python code, supplemental resources, and associated readme are available as a USGS software release (https://doi.org/10.5066/F71Z43P9).

Contacts

Point of Contact :
Brian D Rodriguez
Originator :
Brian D Rodriguez, Michaela R Johnson, Jay A Sampson, Cristiana I.P. Falvo, Kyle D Enns, Tara M Bell, Anthony L Everette
Metadata Contact :
Cristiana I Falvo
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Core Science Systems
SDC Data Owner :
Fort Collins Science Center

Attached Files

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

Magnetotelluric-Data-from-the-San-Andreas-Fault_Parkfield-CA_1990_ASCII-Metadata.xml
“ASCII Data CSDGM Metadata”
Original FGDC Metadata
View 		20.46 KB application/fgdc+xml
Magnetotelluric_Time-Series-Data_ASCII.zip
“Time Series Data (ASCII files)” 		3.2 MB application/zip
Magnetotelluric_Cross-Powers-Data_ASCII.zip
“Cross Powers Data (ASCII files)” 		463.95 KB application/zip
Supplemental_Resources.zip
“Supplemental Resources” 		21.8 MB application/zip

Purpose

All materials included on the ASCII ScienceBase page provide information that the DaR team used to develop Python code that accurately translates the ASCII data to EDI format. Each station in the overall survey was taken at a single point. While the MT files are not in vector format all measurements are referenced to the location of the station.

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  • Community for Data Integration (CDI)

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