Data DOI: 10.60521/331600
Citation:
Tivey, Maurice, et al., (2024), ABE AUV near-bottom processed bathymetry data (netCDF grids), Kane Megamullion area, Mid-Atlantic Ridge (KN180-02, 2004). Marine Geoscience Data System (MGDS). doi:10.60521/331600
Title:
ABE AUV near-bottom processed bathymetry data (netCDF grids), Kane Megamullion area, Mid-Atlantic Ridge (KN180-02, 2004)
Abstract:
This data set consists of processed bathymetry grids collected by autonomous underwater vehicle (AUV) ABE (Autonomous Benthic Explorer) over the Kane Megamullion on the Mid-Atlantic Ridge during research cruise KN180-02 on R/V Knorr in 2004. AUV ABE was an experimental vehicle built by engineers at Woods Hole Oceanographic Institution (WHOI) and was eventually operated as part of National Deep Submergence Facility (NDSF) funded by the National Science Foundation (NSF). ABE was lost at sea in 2010. During Knorr cruise KN180-02, bathymetry was collected using a Simrad SM2000 high-resolution multibeam sonar mounted on ABE. The SM2000 is a 200khz, 180 degree swath-mapping system. Navigation was primarily by long-baseline (LBL) transponder and Doppler velocity log (DVL) where available. The raw multibeam files were processed and GMT-compatible netCDF format grids were created for those ABE dives that collected multibeam sonar data. The bathymetry acquisition was done under grant OCE-0118445 from the US National Science Foundation.
Creator(s):
Tivey, Maurice
Dick, Henry
Tucholke, Brian
Date Available:
2024-04-03
Date Created:
2024-04-05
Data Type(s):
Bathymetry
Resource Type:
Dataset
File Format(s):
application/x-netcdf
Funding source(s):
National Science Foundation: 0118445
National Science Foundation: 0621660
National Science Foundation: 0624408
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/
Related Information
IsPartOf:
IsReferencedBy:
doi: 10.1029/2007GC001645
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doi: 10.1002/ggge.20186
IsReferencedBy:
doi: 10.1002/ggge.20184