Citation:

PANGAEA.974763

Name: Multibeam bathymetry processed data (Reson SeaBat 7160 entire dataset) of RV TARAJOQ during cruise TRJQ_2022-05, TRJQ_2023-05, 202310_MB_TRJQ & TRJQ_2024-05, West Greenland shelf
Creator: Diana W Krawczyk
Published: 2025-02-20
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Arctic; Greenland; Multibeam Data; seafloor topography

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2025-02-20 • DOI registered: 2025-03-21

RIS Citation BibTeX Citation Text Citation ShareShow Map Google Earth

Abstract:

High-resolution multibeam data were collected with RV Tarajoq (2022-2024) from the West Greenland shelf (Disko region to Melville Bay) as part of the seafloor mapping strategy at the Greenland Climate Research Centre. The goal of the strategy is to map and illustrate geomorphic features on the seafloor, including geohazards and ice-sculpted forms. The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (in Figures 3-7 and Table 2) and its corresponding figure (Krawczyk et al., 2025). Data were acquired with hull-mounted Teledyne system SeaBat 7160 operated at frequency 44 kHz. Positioning and movements of the vessel were obtained from the Applanix POS MV Ocean Master receiving data from an Inertial Motion Unit and two Trimble GNSS antennas. The accuracy of the observations is generally within 0.5 to 2 m horizontally and up to 0.03 degrees roll, pitch, and heading of the vessel. The bathymetry data were acquired with Qinsy software, SVP-corrected, and cleaned using Qimera software, and further gridded at 10 x 10 m resolution. Tide correction was not applied.

Keyword(s):

Arctic; Greenland; Multibeam Data; seafloor topography

Supplement to:

Krawczyk, Diana W; Batchelor, C; Sørensen, A; Lowag, J (accepted): Giant pockmarks discovered on the West Greenland shelf. Arctic, Antarctic, and Alpine Research

Project(s):

Modelling Greenland Seafloor (MapHab)

Coverage:

Median Latitude: 70.997053 * Median Longitude: -57.418926 * South-bound Latitude: 69.706000 * West-bound Longitude: -65.341706 * North-bound Latitude: 74.870211 * East-bound Longitude: -54.778000

Date/Time Start: 2022-05-01T00:00:00 * Date/Time End: 2024-06-30T00:00:00

Event(s):

202310_MB_TRJQ_Underway-1 * Latitude: 74.870211 * Longitude: -65.341706 * Date/Time Start: 2023-10-07T00:00:00 * Date/Time End: 2023-10-21T00:00:00 * Campaign: * Basis: * Method/Device: * Comment: Center coordinates of raster file from dataset https://doi.org/10.1594/PANGAEA.969540

TRJQ_2022-05_Underway-1 * Latitude: 69.706000 * Longitude: -54.778000 * Date/Time Start: 2022-05-01T00:00:00 * Date/Time End: 2022-06-30T00:00:00 * Campaign: * Basis: * Method/Device: * Comment: Center coordinates of raster file from dataset https://doi.org/10.1594/PANGAEA.974763

TRJQ_2023-05_Underway-1 * Latitude: 69.706000 * Longitude: -54.778000 * Date/Time Start: 2023-05-01T00:00:00 * Date/Time End: 2023-06-30T00:00:00 * Campaign: * Basis: * Method/Device: * Comment: Center coordinates of raster file from dataset https://doi.org/10.1594/PANGAEA.974763

Comment:

These data should not be used for navigational purposes.

Acknowledgements:

Ship time funding was obtained from the Dansk Center for Havforskning (Projects no. 2021-2, 2023-04), Greenland Research Council, Nordic Council of Ministers ((256)-2023-Melville Bay), and the Greenland Institute of Natural Resources.

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Binary Object	Binary		Krawczyk, Diana W
2	Raster cell size	Raster cell size		Krawczyk, Diana W	Extracted from file
3	File content	Content		Krawczyk, Diana W
4	Vertical datum	Vertical datum		Krawczyk, Diana W
5	Horizontal datum	Horizontal datum		Krawczyk, Diana W	Extracted from file
6	Horizontal datum, projection stored in file	Horizontal datum in file		Krawczyk, Diana W	Extracted from file
7	Longitude, westbound	Longitude west		Krawczyk, Diana W	Extracted from file
8	Longitude, eastbound	Longitude east		Krawczyk, Diana W	Extracted from file
9	Latitude, southbound	Latitude south		Krawczyk, Diana W	Extracted from file
10	Latitude, northbound	Latitude north		Krawczyk, Diana W	Extracted from file
11	UTM Zone, Universal Transverse Mercator	UTM Zone		Krawczyk, Diana W	Extracted from file
12	UTM Easting, Universal Transverse Mercator	UTM east	m	Krawczyk, Diana W	Extracted from file	westbound
13	UTM Easting, Universal Transverse Mercator	UTM east	m	Krawczyk, Diana W	Extracted from file	eastbound
14	UTM Northing, Universal Transverse Mercator	UTM north	m	Krawczyk, Diana W	Extracted from file	southbound
15	UTM Northing, Universal Transverse Mercator	UTM north	m	Krawczyk, Diana W	Extracted from file	northbound
16	Elevation, minimum	Elev min	m a.s.l.	Krawczyk, Diana W	Extracted from file
17	Elevation, maximum	Elev max	m a.s.l.	Krawczyk, Diana W	Extracted from file

Change history:

2025-11-25T11:52:09 – Shapefiles of the giant pockmarks has been added.

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)

Size:

31 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.

1 Binary	2 Raster cell size	3 Content	4 Vertical datum	5 Horizontal datum	6 Horizontal datum in file	7 Longitude west	8 Longitude east	9 Latitude south	10 Latitude north	11 UTM Zone	12 UTM east [m] (westbound)	13 UTM east [m] (eastbound)	14 UTM north [m] (southbound)	15 UTM north [m] (northbound)	16 Elev min [m a.s.l.]	17 Elev max [m a.s.l.]
2022-2024_TarajoqTogt_10m.tif	10m	bathymetry raster / negative values in meters for depth measurements (= elevation)	unknown	WGS 84 / UTM zone 22N, EPSG:32622	WGS 84 / UTM zone 22N, EPSG:32622	-57.76	-51.24	67.86	71.5	22N	216304	491374	7542385	7932865	-901.04	-26.64
GiantPockmarks_Krawczyk_etal_2025.cpg		The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (Krawczyk et al., 2025)
GiantPockmarks_Krawczyk_etal_2025.dbf		The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (Krawczyk et al., 2025)
GiantPockmarks_Krawczyk_etal_2025.prj		The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (Krawczyk et al., 2025)
GiantPockmarks_Krawczyk_etal_2025.qix		The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (Krawczyk et al., 2025)
GiantPockmarks_Krawczyk_etal_2025.cpg		The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (Krawczyk et al., 2025)
GiantPockmarks_Krawczyk_etal_2025.shp		The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (Krawczyk et al., 2025)
GiantPockmarks_Krawczyk_etal_2025.shx		The prominent giant pockmarks - altogether 42 features - are included in this dataset as shapefile (WGS 84) and labelled according to the pockmark ID (Krawczyk et al., 2025)