Multibeam bathymetry raw data (Kongsberg EM710 entire dataset) of RV METEOR during cruise M104

Multibeam bathymetry raw data using the ship's own Kongsberg EM 710 multibeam echosounder was not continuously recorded during RV METEOR cruise M104. Data was recorded on 4 days between 2014-02-23 and 2014-02-27. This dataset contains a survey west of Namibia in the South Atlantic Ocean. The ap...

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Bibliographic Details
Main Author: Quadfasel, Detlef
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.958530
https://doi.org/10.1594/PANGAEA.958530
Description
Summary:Multibeam bathymetry raw data using the ship's own Kongsberg EM 710 multibeam echosounder was not continuously recorded during RV METEOR cruise M104. Data was recorded on 4 days between 2014-02-23 and 2014-02-27. This dataset contains a survey west of Namibia in the South Atlantic Ocean. The approximate average depth of the entire dataset is around 600m, covering parts of the the continental shelf and parts of the continental slope. 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. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. Data analysis of the multibeam raw data revealed that SVP has not 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 moderate in the shelf area since the gridded hillshade data showed relatively few obstacles. However, in the deeper areas at the continental slope the data quality is really bad. The reason for this is unknown. 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).