Open science resources from the Tara Pacific expedition across coral reef and surface ocean ecosystems
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Published:2023-06-01
Issue:1
Volume:10
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Lombard FabienORCID, Bourdin GuillaumeORCID, Pesant Stéphane, Agostini Sylvain, Baudena AlbertoORCID, Boissin Emilie, Cassar NicolasORCID, Clampitt Megan, Conan Pascal, Da Silva Ophélie, Dimier Céline, Douville Eric, Elineau Amanda, Fin Jonathan, Flores J. Michel, Ghiglione Jean-FrançoisORCID, Hume Benjamin C. C.ORCID, Jalabert Laetitia, John Seth G.ORCID, Kelly Rachel L., Koren IlanORCID, Lin Yajuan, Marie Dominique, McMinds RyanORCID, Mériguet Zoé, Metzl NicolasORCID, Paz-García David A.ORCID, Pedrotti Maria Luiza, Poulain JulieORCID, Pujo-Pay MireilleORCID, Ras Joséphine, Reverdin Gilles, Romac SarahORCID, Rouan Alice, Röttinger EricORCID, Vardi AssafORCID, Voolstra Christian R.ORCID, Moulin Clémentine, Iwankow Guillaume, Banaigs Bernard, Bowler ChrisORCID, de Vargas Colomban, Forcioli Didier, Furla Paola, Galand Pierre E.ORCID, Gilson Eric, Reynaud Stéphanie, Sunagawa ShinichiORCID, Sullivan Matthew B., Thomas Olivier P.ORCID, Troublé Romain, Thurber Rebecca Vega, Wincker PatrickORCID, Zoccola DidierORCID, Allemand DenisORCID, Planes Serge, Boss EmmanuelORCID, Gorsky Gaby
Abstract
AbstractThe Tara Pacific expedition (2016–2018) sampled coral ecosystems around 32 islands in the Pacific Ocean and the ocean surface waters at 249 locations, resulting in the collection of nearly 58 000 samples. The expedition was designed to systematically study warm-water coral reefs and included the collection of corals, fish, plankton, and seawater samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide a complete description of the sampling methodology, and we explain how to explore and access the different datasets generated by the expedition. Environmental context data were obtained from taxonomic registries, gazetteers, almanacs, climatologies, operational biogeochemical models, and satellite observations. The quality of the different environmental measures has been validated not only by various quality control steps, but also through a global analysis allowing the comparison with known environmental large-scale structures. Such publicly released datasets open the perspective to address a wide range of scientific questions.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference103 articles.
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