Tara Pacific - A pan-ecosystemic approach to the -omics complexity of coral reef holobionts across the Pacific Ocean
Published January 16, 2025 | Version v2
Dataset Open

Resources for: Morphological traits and machine learning for genetic lineage prediction of two reef-building corals

Creators

  • 1. ROR icon National Institute for Environmental Studies
  • 2. Centro de Investigaciones Biológicas del Noroeste (CIBNOR)
  • 3. CS Genetics
  • 4. ROR icon King Abdullah University of Science and Technology
  • 5. Fondation Tara Ocean
  • 6. Université Paris-Saclay: Evry, France
  • 7. CEA: Evry, Ile-de-France, France
  • 8. ROR icon Genoscope
  • 9. ROR icon Station Biologique de Roscoff
  • 10. ROR icon University of Cape Town
  • 11. Tara Pacific Consortium
  • 12. ROR icon Scientific Centre of Monaco
  • 13. ROR icon University of Konstanz
  • 14. ROR icon Université Côte d'Azur
  • 15. University of Tsukuba

Description

The released data is composed of the files, images and information regarding the materials used in Morphological traits and machine learning for genetic lineage prediction publication. 

Notes

Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium. We also would like to thank Professor Yokochi Hiroyuki for assisting on the morphological parameters to be measured. Work from GM is supported by JST SPRING, Grant Number JPMJSP2124.

Files

DB_Pocillo_additional_pictures.csv

Files (14.2 GB)

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