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Geophysical datasets collected during RRS James Cook cruise JC228, Guatemala basin (2022-2023)

Publisher
Marine Environmental Data & Information Network
Updated
8 April 2026
Topic
Not set
Licence
Not set

Summary

A collection of geophysical datasets acquired during RRS James Cook expedition JC228 (December 2022 to January 2023) in the Guatemala Basin region of the North Pacific Ocean. Datasets include a processed bathymetry grid, sub-bottom profile, magnetics, gravity, ocean bottom seismometer (OBS) and multi-channel seismic (MCS) data. The aim was to sample fast-spreading ocean lithosphere of the northern Cocos Plate from its formation to subduction in the Mid-America Trench. MCS data were recorded along a linear transect with grids in three focus areas; two on the passively cooling oceanic plate, the third spanned the transition into the subduction zone. This work aimed to investigate the evolution of oceanic lithosphere as well as provide essential site survey information for two IODP Proposals: the flagship MoHole to Mantle initiative (M2M; IODP-805MDP) and the Bend Fault Serpentinization experiment (approved IODP-876Pre). The work was undertaken by scientists at the University of Southampton, UK, in collaboration with GEOMAR Helmholtz Centre for Ocean Research, Germany, funded as part of NERC grant ‘From Ridge to Trench, MoHole to Bend-Faults’, grant reference NE/M021246/1.

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Additional information

Source Metadata
XML, HTML
Date added
31 March 2026
Harvest GUID
bea427894dce5b25aa01ba900d98dc87
Extent (Latitude)
11.00° to 6.00°
Extent (Longitude)
-92.50° to -84.50°
Dataset reference date (publication)
2026-03-30
Dataset reference date (creation)
2025-07-30
Dataset reference date (revision)
2025-08-01
Frequency of update
asNeeded
Access constraints
Data are freely available to all following agreement to the terms and conditions of a Data Licence
Responsible party
University of Southampton School of Ocean and Earth Science (owner, originator); British Oceanographic Data Centre (custodian, distributor)
ISO 19139 resource type
dataset
Metadata language
eng