Data for "Reviewing Seas of Data: Integrating Image-Based Bio-logging and Artificial Intelligence to Enhance Marine Conservation"

This dataset contains data and Python codes associated to the manuscript: Reviewing Seas of Data: Integrating Image-Based Bio-logging and Artificial Intelligence to Enhance Marine Conservation. Data: Underwater images and sample video collected from Adélie penguins (Pygoscelis adeliae) at the colony on Ile des Pétrels, at the Dumont d’Urville station, in Terre Adélie, East Antarctica (66°40′ S; 140°01′ E), over the 2017-2018 breeding season. Birds were equipped with video loggers (Little Leonardo, DVL400M, 61 mm × 21 mm × 15 mm, 29g) during the chick guarding stage, in which one parent guards the chicks on the nest while the other is foraging at sea to bring food back to its offspring. Only one member of a pair was captured on or when leaving the nest, when both adults were attending the nest before/during a changeover. The data collection is part of the ongoing long-term monitoring program of Adélie penguins (IPEV program 1091 l'AMMER, See-Life). Video loggers were set to start recording approximately ten hours after deployment, to maximise the chance to record underwater behaviours. After data recording started, video data were recorded for three hours at a resolution of 30 fps (frames per second). Video data were collected to quantify behaviours of Adélie penguins during foraging. Both sample images and video provide snapshots of what video loggers record (e.g. individual prey capture events, interaction with krill swarms, interaction with co-specifics, swimming). The dataset can be manipulated and analysed with the provided Python code. The "How_To_Image_Based_bio-logging" is in both ipynb (jupyter notebook) and pdf format. Please, read also the Read Me file included in this dataset.