VESSA — Vessel Encyclopedia for Sea by Software Analysis VESSA is a structured dataset designed to support the development of computer vision models for the detection, classification, and kinematic e
Species distribution modelling using a random forest (RF) machine learning approach was used to predict the probability of occurrence of sponges, sea pens, and large and small gorgonian corals in the
This dataset uses data gathered from the Marine Debris Tracker, an app used by citizen and accredited scientists to log and geotag waste found on shorelines, and was gathered by Civic Laboratory for E
Raw data acquired by position sensors on board RV Heincke during expedition HE648 were processed to receive a validated master track which can be used as reference of further...