Marine Geoscience Data System

Data DOI: 10.60521/332521

Citation:
Fan, Wenyuan, et al., (2026), Earthquake catalogs of the Gofar transform fault system at ~4.5°S, East Pacific Rise, 2020-2022. Marine Geoscience Data System (MGDS). doi:10.60521/332521
Title:
Earthquake catalogs of the Gofar transform fault system at ~4.5°S, East Pacific Rise, 2020-2022
Abstract:
These earthquake catalogs are derived from data retrieved from ocean-bottom seismometers deployed during 2020-2022 as part of the Gofar Transform Fault Earthquake Prediction Experiment. The data files are in ASCII format. The first row in each file is a column header that describes the contents of the catalogue. The "ClustID" and "ClustSize" columns are cluster ids and sizes obtained from the GrowClust algorithm. Not all earthquakes have a local magnitude estimate because of the selection criteria. The data set was generated as part of the projects called "Imaging Stress and Material Properties at the Gofar Transform Fault: Unraveling the Physical Controls on Fault Segmentation and Seismicity", "Capturing 4D Variations in Stress, Slip, and Fault-Zone Material Properties: The 2019-2021 Gofar Transform Fault Earthquake Prediction Experiment" and "Tectono-magmatic Controls on the Origin and Evolution of Mid-Ocean Ridge Segmentation at Slow-to-Intermediate Spreading Rates - Top down or bottom up". Funding was provided by NSF awards OCE-2527242, OCE-1833279, OCE-1832830, OCE-1832868, OCE-1928776 and by NSERC Discovery Grant RGPIN-2024-05737.
Creator(s):
Fan, Wenyuan
Gong, Jianhua
McGuire, Jeffrey
Behn, Mark
Warren, Jessica
Collins, John
Liu, Yajing
Boettcher, Margaret
Roland, Emily
German, Christopher
Date Available:
2026-07-01
Date Created:
2025-11-25
Data Type(s):
Earthquake:Catalog
Resource Type:
Dataset
File Format(s):
text/plain
Funding source(s):
National Science Foundation: 1832830
National Science Foundation: 1832868
National Science Foundation: 1833279
National Science Foundation: 1928776
National Science Foundation: 2527242
Data Curated by:
Version:
1
Language:
en
License:
Creative Commons Attribution 4.0 International Public License [CC BY 4.0] URI: https://creativecommons.org/licenses/by/4.0/

Related Information

IsPartOf: