Data for - MuFFIN - Modelling Foraging Fitness in Marine Predators ...
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 mach...
| Main Authors: | , , , |
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| Format: | Dataset |
| Language: | unknown |
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Recherche Data Gouv
2022
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| Online Access: | https://dx.doi.org/10.57745/it6ita https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/IT6ITA |
| Summary: | 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. marianna.chimienti@cebc.cnrs.fr 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 ... |
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