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Resources for: Morphological traits and machine learning for genetic lineage prediction of two reef-building corals
Resources for: Morphological traits and machine learning for genetic lineage prediction of two reef-building corals
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.
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.
- National Institute for Environmental Studies Japan
- Genoscope France
- University of Tsukuba Japan
- Université Côte d'Azur France
- Roscoff Marine Station France
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