Data for - MuFFIN - Modelling Foraging Fitness in Marine Predators ...

• Main Authors: CHIMIENTI, Marianna, KATO, Akiko, CHIARADIA, Andre, ROPERT COUDERT, Yan
• Format: Dataset
• Language: unknown
• Published: Recherche Data Gouv 2022
• Subjects: Hicks; Pygoscelis adeliae
• Online Access: https://dx.doi.org/10.57745/it6ita; https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/IT6ITA

This repository contains information on the raw GPS-Time Depth Recorder-accelerometer data collected from two penguin species, The Little penguin (Eudyptula minor) and the Adélie penguin (Pygoscelis adeliae) published in: "The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets." Article DOI: 10.1038/s41598-022-22258-1 Marianna Chimienti * , Akiko Kato, Olivia Hicks, Frédéric Angelier, Michaël Beaulieu, Jazel Ouled-Cheikh, Coline Marciau, Thierry Raclot, Meagan Tucker, Danuta Maria Wisniewska, Andre Chiaradia, Yan Ropert-Coudert *Corresponding author. [e-mail] This study was supported by: H2020-Marie Skłodowska-Curie Individual Fellowship, project number 890284, "Modelling Foraging Fitness in Marine predators (MuFFIN)", awarded to Marianna Chimienti Nature of dataset: quantitative Purpose of dataset: collect movement data from penguin species Scope of dataset: quantify movement patterns in penguin species while foraging ...