Data DOI: 10.60521/332312
Citation:
Parnell-Turner, Ross, et al., (2025), Near-bottom processed sidescan sonar Deep Tow mosaiced heading-corrected grids from the East Pacific Rise at 17°S and 19°S (PANR06MV, 1998). Marine Geoscience Data System (MGDS). doi:10.60521/332312
Title:
Near-bottom processed sidescan sonar Deep Tow mosaiced heading-corrected grids from the East Pacific Rise at 17°S and 19°S (PANR06MV, 1998)
Abstract:
This data set presents sidescan sonar grid mosaics, corrected for heading. The sidescan sonar data set was collected using the Scripps Institution of Oceanography (SIO) deeply towed instrument package (Deep Tow) at 17°S and 19°S, East Pacific Rise, during cruise PANR06MV (May 1998). The Deep Tow platform carried a 110 kHz sidescan sonar. The binary data files were originally recorded in SIO fish6 format, and were converted to the MB-System-compatible format for processing. Processing steps included translating time-based sonar data into backscatter records, and laid out into a regular array of pixels that were projected onto a flat seafloor model (swath bathymetric data were not collected). Data were corrected for the variation of amplitude with grazing angle, filtered with a Gaussian mean low-pass filter (across track /along track dimensions of 11 and 3 pixels, respectively), and mosaiced. A heading correction of 6 degrees was also applied to the sidescan sonar data. Processing was carried out with MB-System release 5.7.6, with mosaics for each profile provided as GMT-compatible netCDF grids. The data set was generated as part of the project called Towards quantifying eruptive timing and volcanic accretion on the Southern East Pacific Rise. Funding was provided by NSF award OCE21-28301.
Creator(s):
Parnell-Turner, Ross
Gee, Jeffrey
McLeod, Cate
Date Available:
2025-05-04
Date Created:
2025-05-04
Data Type(s):
Sidescan
Resource Type:
Dataset
File Format(s):
application/x-netcdf
Funding source(s):
National Science Foundation: 2128301
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:
IsReferencedBy:
doi: 10.1038/35048513
IsDerivedFrom:
doi: 10.60521/332311