Documentation for a web site to serve ULF-EM (Ultra-Low Frequency Electromagnetic) data to the public

Open-File Report 2010-1321
By: , and 



The Stanford Ultra-Low Frequency Electromagnetic (ULF-EM) Monitoring Project is recording naturally varying electromagnetic signals adjacent to active earthquake faults, in an attempt to establish whether there is any variation in these signals associated with earthquakes. Our project is collaborative between Stanford University, the U.S. Geological Survey (USGS), and UC Berkeley. Lead scientists are Simon Klemperer (Stanford University), Jonathan Glen (USGS) and Darcy Karakelian McPhee (USGS). Our initial sites are in the San Francisco Bay Area, monitoring different strands of the San Andreas fault system, at Stanford University's Jasper Ridge Biological Preserve (JRSC), Marin Headlands of the Golden Gate National Recreation Area (MHDL), and the UC Berkeley's Russell Reservation Field Station adjacent to Briones Regional Park (BRIB). In addition, we maintain in conjunction with the Berkeley Seismological Laboratory (BSL) two remote reference stations at the Bear Valley Ranch in Parkfield, Calif., (PKD) and the San Andreas Geophysical Observatory at Hollister, Calif., (SAO). Metadata about our site can be found at Site descriptions can be found at the BSL at, and seismic data can be obtained from the Northern California Earthquake Data Center at The site allows access to data from the Stanford-USGS sites JRSC, MHDL and BRIB, as well as UC Berkeley sites PKD and SAO.
Publication type Report
Publication Subtype USGS Numbered Series
Title Documentation for a web site to serve ULF-EM (Ultra-Low Frequency Electromagnetic) data to the public
Series title Open-File Report
Series number 2010-1321
DOI 10.3133/ofr20101321
Edition -
Year Published 2011
Language ENGLISH
Publisher U.S. Geological Survey
Contributing office(s) Western Region Geology and Geophysics Science Center
Description iii, 14 p.; Appendices
Online Only (Y/N) Y
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
Additional publication details