Dataset
EurOBIS MeasurementOrFact Open in mapper Explore occurrences
The Aurora seamount and hydrothermal field, located in the western Gakkel Ridge of the Central Arctic Ocean, was first identified in 2001. The dataset presented here was collected during the HACON19 research cruise onboard of the RV Kronprins Haakon, as part the international HACON project (Hot vents in an ice-covered ocean: the role of the Arctic as a connectivity pathway between ocean basins). This campaign used the Ocean Floor Observation and Bathymetry System (OFOBS), which is a towed underwater sled equipped with high-resolution still and video cameras. This dataset provides density data (individuals per square meter) for benthic megafauna (organisms greater than 2 cm) inhabiting the Aurora Seamount, its hydrothermal vent field, and surrounding areas. The data were collected between October 1 and October 15, 2019. In addition to the biological density measurements, the dataset includes environmental context information such as observation depth and substrate type.
Citation: Ramalho S, Hilário A, Santos J, Araújo S M, Ramirez-Llodra E, Matos F L (2026). Megafauna composition in Aurora seamount and hydrothermal vent field (High Arctic) identified during the 'HACON expedition 2019' with the RV Kronprins Haakon (cruise no. 2019708). Version 1.4. Flanders Marine Institute. Samplingevent dataset. https://ipt.vliz.be/eurobis/resource?r=aurora_megafauna_2019&v=1.4
Published: May 04, 2026 at 10:48
First registration: May 04, 2026 at 10:51
License: This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License
URL: https://ipt.vliz.be/eurobis/resource?r=aurora_megafauna_2019
Contacts:
Sofia Ramalho
Universidade de Aveiro
Ana Hilário
Universidade de Aveiro
José Santos
Universidade de Aveiro
Sara M. Araújo
Universidade de Aveiro
Eva Ramirez-Llodra
REV Ocean & Norwegian Institute for Water Research
Fábio L. Matos
Universidade de Aveiro
Sara Araújo
Heliana Teixeira
No missing or invalid fields.
The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.
No quality flags.