Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV METEOR during cruise M82/1

Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV METEOR cruise M82/1. Data was recorded on 22 days between 2010-07-09 and 2010-07-30. This dataset contains a survey in the North Atlantic Ocean south of Greenland...

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Bibliographic Details
Main Author: Quadfasel, Detlef
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
SVP
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.960161
https://doi.org/10.1594/PANGAEA.960161
Description
Summary:Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV METEOR cruise M82/1. Data was recorded on 22 days between 2010-07-09 and 2010-07-30. This dataset contains a survey in the North Atlantic Ocean south of Greenland. The approximate average depth of the entire dataset is around 3000m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).