Marine Geoscience Data System

Data DOI: 10.26022/IEDA/331509

Citation:
Lowery, Christopher, et al., (2024), Raw high-resolution multi-channel seismic reflection (MCS) field data from the JS2203 Gulf of Mexico Campeche Bank Seismic Survey (2022). Marine Geoscience Data System (MGDS). doi:10.26022/IEDA/331509
Title:
Raw high-resolution multi-channel seismic reflection (MCS) field data from the JS2203 Gulf of Mexico Campeche Bank Seismic Survey (2022)
Abstract:
This data set consists of raw multi-channel seismic reflection (MCS) data in SEG-Y format, collected in July 2022 along the continental slope of the Campeche Bank aboard R/V Justo Sierra. The research objective was to map the detailed stratigraphy of sediment drift deposits to explore the history of the Loop Current and its climatic implications. We used the portable high-resolution seismic acquisition system operated by Scripps Institution of Oceanography, which comprised a source array of two 45 cubic inches G.I. air-guns and a GeoEel streamer with 120 channels at a spacing of 6.25 m. The air-gun array was fired every 12.5 m and was towed at a depth of 3 m. Data was recorded using the Geometrics seismic recording system with sample rate of 0.5 ms and recording length of 4 ms. A 50-ms delay was created during each shot as a buffer between the timing pulse that starts the recording and the trigger pulse that fires the air-guns. A total of 11 seismic lines were acquired including two long strike lines, five dip lines, two tilted dip lines and two short transition lines. The shot spacing was not exactly 12.5 m during the first three lines (1001-1003) due to system glitches, therefore, it is necessary to merge navigation with SEG-Y headers to ensure accurate processing of these lines. Detailed acquisition parameters and cruise incidents are described in the associated documents. Funding for this work was provided through NSF awards OCE-1928888 and OCE-1450528, and CONTEX award 2018-38A.
Creator(s):
Lowery, Christopher
Perez Cruz, Ligia
Urrutia-Fucugauchi, Jaime
Wei, Jingxuan
Austin, James
Standring, Patricia
Date Available:
2024-02-14
Date Created:
2024-02-15
Data Type(s):
Seismic:Reflection:MCS
Resource Type:
Dataset
File Format(s):
application/seismic-segy
Funding source(s):
National Science Foundation: 1450528
National Science Foundation: 1928888
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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