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

Fabien LombardGuillaume BourdinStéphane PesantSylvain AgostiniAlberto BaudenaEmilie BoissinNicolas CassarMegan ClampittPascal ConanOphélie Da SilvaCéline DimierEric DouvilleAmanda ElineauJonathan FinJ Michel FloresJean François GhiglioneBenjamin C C HumeLaetitia JalabertSeth G JohnRachel L KellyIlan KorenYajuan LinDominique MarieRyan McMindsZoé MériguetNicolas MetzlDavid A Paz GarcíaMaria Luiza PedrottiJulie PoulainMireille Pujo-PayJoséphine RasGilles ReverdinSarah RomacAlice RouanEric RöttingerAssaf VardiChristian R VoolstraClémentine MoulinGuillaume IwankowBernard BanaigsChris BowlerColomban de VargasDidier ForcioliPaola FurlaPierre E GalandEric GilsonStéphanie ReynaudShinichi SunagawaMatthew B SullivanOlivier P ThomasRomain TroubléRebecca Vega ThurberPatrick WinckerDidier ZoccolaDenis AllemandSerge PlanesEmmanuel S BossGaby Gorsky
Published in: Scientific data (2023)
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.
Keyphrases
  • quality control
  • climate change
  • minimally invasive
  • high resolution
  • human health
  • public health
  • life cycle
  • machine learning
  • data analysis
  • risk assessment
  • rna seq
  • fluorescence imaging