Marine Geoscience Data System

Data DOI: 10.26022/IEDA/330373

Citation:
Parnell-Turner, Ross, et al., (2022), Processed bathymetric data (netCDF grid) from 9°50'N, East Pacific Rise, acquired in 2018, 2019 and 2021 during AUV Sentry near-bottom dives. Marine Geoscience Data System (MGDS). doi:10.26022/IEDA/330373
Title:
Processed bathymetric data (netCDF grid) from 9°50'N, East Pacific Rise, acquired in 2018, 2019 and 2021 during AUV Sentry near-bottom dives
Abstract:
Bathymetric data were collected during a total of 19 AUV Sentry dives conducted from R/V Atlantis and R/V Roger Revelle during 2018 Atlantis cruise AT42-06 (two dives); 2019 Atlantis cruise AT42-21 (ten dives); and, 2021 Revelle cruise RR2102 (seven dives). Track lines were spaced 170 m apart, with Sentry about 65 m above bottom, collecting multibeam data using a 400 kHz Reson 7125 system in 2018, and a 400 kHz Kongsberg EM2040 system in 2019 and 2021. Sentry navigation was obtained using a 300 kHz Teledyne Doppler velocity log (DVL) and a Sonardyne AvTrak2 ultra-short baseline (USBL) acoustic positioning system, combined with an iXblue Phins inertial navigation system (INS), and a Paroscientific 8B7000-I Digiquartz depth sensor. Sonar data from all 19 dives were processed together using the open-source MB-System software, and were gridded at 1 m × 1 m node resolution using a beam footprint calculated with the angular beam widths and weighted by local slope. The grid file is in GMT-compatible netCDF format, in un-projected geographic coordinates. Funding was provided by National Science Foundation awards OCE-1834797, OCE1949485, OCE-1948936, and OCE-1949938.
Creator(s):
Parnell-Turner, Ross
Fornari, Daniel
McDermott, Jill
Barreyre, Thibaut
Wu, Jyun-Nai
Date Available:
2022-04-01
Date Created:
2021-10-14
Data Type(s):
Bathymetry
Resource Type:
Dataset
File Format(s):
application/x-netcdf
Funding source(s):
National Science Foundation: 1834797
National Science Foundation: 1948936
National Science Foundation: 1949485
National Science Foundation: 1949938
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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