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Open science resources from the Tara Pacific expedition across coral reef and surface ocean ecosystems

Authors :
Fabien Lombard
Guillaume Bourdin
Stéphane Pesant
Sylvain Agostini
Alberto Baudena
Emilie Boissin
Nicolas Cassar
Megan Clampitt
Pascal Conan
Ophélie Da Silva
Céline Dimier
Eric Douville
Amanda Elineau
Jonathan Fin
J. Michel Flores
Jean-François Ghiglione
Benjamin C. C. Hume
Laetitia Jalabert
Seth G. John
Rachel L. Kelly
Ilan Koren
Yajuan Lin
Dominique Marie
Ryan McMinds
Zoé Mériguet
Nicolas Metzl
David A. Paz-García
Maria Luiza Pedrotti
Julie Poulain
Mireille Pujo-Pay
Joséphine Ras
Gilles Reverdin
Sarah Romac
Alice Rouan
Eric Röttinger
Assaf Vardi
Christian R. Voolstra
Clémentine Moulin
Guillaume Iwankow
Bernard Banaigs
Chris Bowler
Colomban de Vargas
Didier Forcioli
Paola Furla
Pierre E. Galand
Eric Gilson
Stéphanie Reynaud
Shinichi Sunagawa
Matthew B. Sullivan
Olivier P. Thomas
Romain Troublé
Rebecca Vega Thurber
Patrick Wincker
Didier Zoccola
Denis Allemand
Serge Planes
Emmanuel Boss
Gaby Gorsky
Source :
Scientific Data, Vol 10, Iss 1, Pp 1-25 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract The 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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.27024bf2f35040ec963318f0b62e712c
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-022-01757-w