Marine Geoscience Data System

Data DOI: 10.1594/IEDA/324617

Citation:
Morton, Emily, et al., (2018), Catalog of earthquakes detected and located offshore central Oregon, USA, in the Cascadia subduction zone using the Cascadia Initiative amphibious data set. Marine Geoscience Data System (MGDS). doi:10.1594/IEDA/324617
Title:
Catalog of earthquakes detected and located offshore central Oregon, USA, in the Cascadia subduction zone using the Cascadia Initiative amphibious data set
Abstract:
This earthquake catalog spans 26 July 2011 through 1 September 2015 and corresponds to the Geology article of Morton et al. (2018; https://doi.org/10.1130/G45354.1). Events were detected using the subspace detection algorithm of Maciera et al. (2010) and located by utilizing direct P and S phase arrival time picks with the hypoinverse location program (Klein et al., 2002). Events that were previously reported in regional earthquake catalogs and the studies of Tréhu et al. (2015; 2018) and Stone et al. (2018) are indicated, as well as the events that were used as templates for subspace scanning. The catalog includes hypocentral locations, origin time, duration magnitudes, number of seismic picks used in location determination, azimuthal gap, event-to-station distance, and location and timing uncertainties. The catalog is separated into three groupings (three ASCII files separated from the one spreadsheet): Earthquakes within a cluster associated with a subducted seamount (150 events), earthquakes within a cluster to the north of the seamount (73 events), and earthquakes not within the clusters (87 events). The data set was generated as part of the project called Developing Methods for Detection and Analysis of Repeating Earthquakes and Low Frequency Earhtquakes Using Cascadia Initiative Amphibious Network Data. Funding was provided by NSF grant OCE14-34550, awarded to S.L. Bilek.
Creator(s):
Morton, Emily
Bilek, Susan
Rowe, Charlotte
Date Available:
2018-11-19
Date Created:
2018-11-19
Data Type(s):
Earthquake:Catalog:Microseismicity
Resource Type:
Dataset
File Format(s):
text/plain
Funding source(s):
National Science Foundation: 1434550
Data Curated by:
Version:
1
Language:
en
License:
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0] URI: http://creativecommons.org/licenses/by-nc-sa/3.0/us/

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