Open science resources from the Tara Pacific expedition across coral reef and surface ocean ecosystems
Type | Article | ||||||||
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Date | 2023-06 | ||||||||
Language | English | ||||||||
Author(s) | Lombard Fabien1, 2, 3, Bourdin Guillaume1, 4, Pesant Stéphane5, Agostini Sylvain6, Baudena Alberto1, Boissin Emilie7, Cassar Nicolas8, 9, Clampitt Megan10, 11, 12, Conan Pascal13, 14, Da Silva Ophélie1, Dimier Céline1, Douville Eric15, Elineau Amanda1, Fin Jonathan16, Flores J. Michel17, Ghiglione Jean-François13, Hume Benjamin C. C.18, Jalabert Laetitia1, John Seth G., Kelly Rachel L.19, Koren Ilan17, 19, Lin Yajuan8, 9, 20, Marie Dominique21, McMinds Ryan, Mériguet Zoé1, 22, 23, Metzl Nicolas16, Paz-García David A.24, Pedrotti Maria Luiza1, Poulain Julie25, Pujo-Pay Mireille13, Ras Joséphine1, Reverdin Gilles16, Romac Sarah2, 21, Rouan Alice10, 11, 12, Röttinger Eric10, 11, 12, Vardi Assaf16, 26, Voolstra Christian R.18, Moulin Clémentine27, Iwankow Guillaume7, Banaigs Bernard7, Bowler Chris2, 28, de Vargas Colomban2, 21, Forcioli Didier10, 11, 12, Furla Paola10, 11, 12, Galand Pierre E.2, 29, Gilson Eric10, 11, 12, 30, Reynaud Stéphanie11, 31, Sunagawa Shinichi32, Sullivan Matthew B.33, Thomas Olivier P.34, Troublé Romain27, Thurber Rebecca Vega23, Wincker Patrick22, 25, Zoccola Didier11, 31, Allemand Denis11, 31, Planes Serge7, Boss Emmanuel4, Gorsky Gaby1, 2 | ||||||||
Affiliation(s) | 1 : Sorbonne Université, Laboratoire d’Océanographie de Villefranche, UMR 7093, CNRS, Institut de la Mer de Villefranche, 06230, Villefranche sur mer, France 2 : Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, 75000, Paris, France 3 : Institut Universitaire de France, 75231, Paris, France 4 : School of Marine Sciences, University of Maine, Orono, Maine, 04469, USA 5 : European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK 6 : Shimoda Marine Research Center, University of Tsukuba, 5-10-1, Shimoda, Shizuoka, Japan 7 : PSL Research University: EPHE-UPVD-CNRS, USR 3278 CRIOBE, Laboratoire d’Excellence CORAIL, Université de Perpignan, 52 Avenue Paul Alduy, 66860, Perpignan, Cedex, France 8 : Nicholas School of the Environment, Duke University, Durham, NC, USA 9 : Laboratoire des Sciences de l’Environnement Marin, UMR 6539 UBO/CNRS/IRD/IFREMER, Institut Universitaire Européen de la Mer, Brest, France 10 : Université Côte d’Azur, CNRS, INSERM, Institute for Research on Cancer and Aging, Nice (IRCAN), Nice, France 11 : Université Côte d’Azur, Institut Fédératif de Recherche - Ressources Marines (IFR MARRES), Nice, France 12 : LIA ROPSE, Laboratoire International Associé Université Côte d’Azur - Centre Scientifique de Monaco, Nice, Monaco 13 : Sorbonne Université, CNRS, Laboratoire d’Océanographie Microbienne, LOMIC, 66650, Banyuls Sur Mer, France 14 : Sorbonne Université, CNRS, OSU STAMAR - UAR2017, 75252 Paris, France 15 : Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France 16 : Laboratoire LOCEAN/IPSL, Sorbonne Université-CNRS-IRD-MNHN, Paris, 75005, France 17 : Weizmann Institute of Science, Department of Earth and Planetary Sciences, Rehovot, Israel 18 : Department of Biology, University of Konstanz, Konstanz, Germany 19 : Department of Earth Science, University of Southern California, Los Angeles, CA, USA 20 : Environmental Research Center, Duke Kunshan University, Kunshan, China 21 : Sorbonne Université, CNRS, Station Biologique de Roscoff, UMR 7144, AD2M, Roscoff, France 22 : Université Côte d’Azur, Maison de la Modélisation, de la Simulation et des Interactions (MSI), Nice, France 23 : Department of Microbiology, Oregon State University, Corvallis, OR, USA 24 : Centro de Investigaciones Biológicas del Noroeste (CIBNOR), La Paz, Baja California Sur, 23096, México 25 : Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France 26 : Weizmann Institute of Science, Department of Plant and Environmental Science, Rehovot, Israel 27 : Tara Ocean Foundation, Paris, France 28 : Institut de Biologie de l’Ecole Normale Supérieure, Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France 29 : Sorbonne Université, CNRS, Laboratoire d’Ecogéochimie des Environnements Benthiques, UMR 8222, LECOB, Banyuls-sur-Mer, France 30 : Department of Medical Genetics, CHU, Nice, France 31 : Centre Scientifique de Monaco, 8 Quai Antoine Ier, MC-98000, Antoine, Monaco 32 : Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zurich, Switzerland 33 : Department of Microbiology and Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA 34 : School of Biological and Chemical Sciences, Ryan Institute, University of Galway, University Road, Galway, Ireland |
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Source | Scientific Data (2052-4463) (Springer Science and Business Media LLC), 2023-06 , Vol. 10 , N. 1 , P. 324 (25p.) | ||||||||
DOI | 10.1038/s41597-022-01757-w | ||||||||
WOS© Times Cited | 11 | ||||||||
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. |
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