10.1594/PANGAEA.958527Quadfasel, DetlefDetlefQuadfaselUniversität HamburgPANGAEA2023BathymetryMultibeam EchosounderEvent labelBinary ObjectBinary Object (Media Type)Binary Object (File Size)Kongsberg datagram raw file nameFile contentData file recording durationData file recording distanceShip speedNumber of pingsStart of data file recording, date/timeStart of data file recording, latitudeStart of data file recording, longitudeStart of data file, headingStart of data file, depthStop of data file recording, date/timeStop of data file recording, latitudeStop of data file recording, longitudeStop of data file, headingStop of data file, depthDATE/TIMELATITUDELONGITUDEELEVATIONCommentEM122 multibeam echosounderExtracted from fileExtracted with MB-SystemM104Meteor (1986)DAM Underway Research Data (DAM_Underway)DataHub Earth and Environment of the Helmholtz Association (DataHub)2014-02-22T12:51:46/2014-03-13T07:49:50Dataset14380 data pointstext/tab-separated-valuesCreative Commons Attribution 4.0 InternationalMultibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV METEOR cruise M104. Data was recorded on 20 days between 2014-02-22 and 2014-03-13. This dataset contains a survey during the transit from Walvis Bay, Namibia to Mindelo, CapeVerde in the Atlantic Ocean. The approximate average depth of the entire dataset is around 4500m.
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. However, 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).These data should not be used for navigational purposes.
Data publishing was realized by Daniel Damaske, MARUM - Center for Marine Environmental Sciences (University Bremen).-24.977389913.7590798-25.45833717.01952735Bundesministerium für Bildung und Forschunghttps://doi.org/10.13039/50110000234703F0935EUnterwegsdaten-2; Vorhaben: Aufbereitung und Kuration von Bathymetrie-, Unterwegs- und Forschungsmissionsdaten, Mitarbeit DAM-Portal