Published March 17, 2026
| Version 1.0
Dataset
Open
The high‑resolution bathymetric dataset of the Saudi Arabian Red Sea margin from the 2022 Red Sea Decade Expedition
Authors/Creators
-
Marchese, Fabio
(Data manager)1
-
Nolan, Megan
(Data curator)2
-
Dunn, Natalie
(Data curator)2
-
Watts, Marta A. Ezeta
(Data curator)2
- von Krusenstiern, Katherine (Data collector)3
- Foy, Craig (Data collector)3
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Rodrigue, Mattie
(Project member)3
-
Pieribone, Vincent
(Project manager)4, 5, 6
- Qurban, Mohammed A. (Project leader)7
-
Duarte, Carlos M.
(Project leader)2, 8
- et al. Show all 11 authors
Authors/Creators
-
Marchese, Fabio
(Data manager)1
-
Nolan, Megan
(Data curator)2
-
Dunn, Natalie
(Data curator)2
-
Watts, Marta A. Ezeta
(Data curator)2
- von Krusenstiern, Katherine (Data collector)3
- Foy, Craig (Data collector)3
-
Rodrigue, Mattie
(Project member)3
-
Pieribone, Vincent
(Project manager)4, 5, 6
- Qurban, Mohammed A. (Project leader)7
-
Duarte, Carlos M.
(Project leader)2, 8
-
Benzoni, Francesca
(Work package leader)2
- 1. King Abdullah University of Science and Technology Red Sea Research Center
-
2.
King Abdullah University of Science and Technology
- 3. OceanX
-
4.
Southern Connecticut State University
-
5.
Columbia University
- 6. Ocean X
- 7. National Center for Wildlife (Saudi Arabia)
-
8.
Aarhus University
Description
Gridded multibeam bathymetry of the Saudi Arabian Red Sea collected during the 2022 Red Sea Decade Expedition (funded by the National Center for Wildlife, Kingdom of Saudi Arabia). The QPS Qimera software license was provided by King Abdullah University of Science and Technology (KAUST) through baseline funding awarded to Francesca Benzoni (BAS/1/1090-01-01). The dataset includes one 40 m resolution model covering the full deep-water survey area, acquired by the Kongsberg EM 304 aboard the M/V OceanXplorer (OCX), and four 5 m resolution models of shallow-water bathymetry acquired by the Teledyne RESON SeaBat T50-P aboard Metalshark38 (MS), one per expedition Leg (L1 to L4).
Files
OCX_RSDE2022_UTM37N_40m.tif
Files
(712.7 MB)
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Additional details
Related works
- Is supplement to
- Preprint: 10.5194/essd-2026-317 (DOI)
Dates
- Collected
-
2022-02 / 2022-06