The University of Southampton
University of Southampton Institutional Repository

Dive 20210916_152707_turbot_ros_dense images and metadata

Dive 20210916_152707_turbot_ros_dense images and metadata
Dive 20210916_152707_turbot_ros_dense images and metadata
Dataset 20210916_152707_turbot_ros_dense is part of the GRASSMAP Eurofleets+ campaign: Survey and assessment of endemic seagrass species (Posidonia oceanica) in the Mediterranean using three different untethered platforms: an Autonomous Underwater Vehicle (AUV), an Autonomous Surface Vehicle (ASV) and a Lagrangian Drifter (LD) (PI Massot-Campos, September 2021). Images were taken on the platform Turbot: a 200m depth-rated Autonomous Underwater Vehicle (AUV) belonging to the Systems, Robotics & Vision Group at the University of the Balearic Islands. Deployment began on 16/09/2021 at 15:27:07, and this deployment directory contains 4212 processed images.
seafloor, images
University of Southampton
Ocean Perception Group
59d72c04-039b-4a2d-add0-702d24c4cf61
Curtis, Emma
a89174fe-62f3-4dad-95de-30f8a3540730
Ocean Perception Group
59d72c04-039b-4a2d-add0-702d24c4cf61
Curtis, Emma
a89174fe-62f3-4dad-95de-30f8a3540730

Ocean Perception Group (2026) Dive 20210916_152707_turbot_ros_dense images and metadata. University of Southampton doi:10.5258/SMRGRASSMAP/20210916_01 [Dataset]

Record type: Dataset

Abstract

Dataset 20210916_152707_turbot_ros_dense is part of the GRASSMAP Eurofleets+ campaign: Survey and assessment of endemic seagrass species (Posidonia oceanica) in the Mediterranean using three different untethered platforms: an Autonomous Underwater Vehicle (AUV), an Autonomous Surface Vehicle (ASV) and a Lagrangian Drifter (LD) (PI Massot-Campos, September 2021). Images were taken on the platform Turbot: a 200m depth-rated Autonomous Underwater Vehicle (AUV) belonging to the Systems, Robotics & Vision Group at the University of the Balearic Islands. Deployment began on 16/09/2021 at 15:27:07, and this deployment directory contains 4212 processed images.

This record has no associated files available for download.

More information

Published date: 2026
Keywords: seafloor, images

Identifiers

Local EPrints ID: 513060
URI: https://eprints.soton.ac.uk/id/eprint/513060
PURE UUID: fe152225-9b7b-46af-8beb-e026377979c3
ORCID for Emma Curtis: ORCID iD orcid.org/0000-0001-9271-0365

Catalogue record

Date deposited: 30 Jul 2026 16:43
Last modified: 13 Sep 2026 15:50

Export record

Altmetrics

Contributors

Creator: Ocean Perception Group
Data Manager: Emma Curtis ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×