# Open science resources for the discovery and analysis of Tara Oceans Data

**Authors:** Stéphane Pesant, Fabrice Not, Marc Picheral, Stefanie Kandels-Lewis, Noan Le Bescot, Gabriel Gorsky, Daniele Iudicone, Eric Karsenti, Sabrina Speich, Romain Troublé, Céline Dimier, Sarah Searson

bioRxiv · DOI: 10.1101/019117 · bioRxiv · 2015-01-01

## TL;DR

The Tara Oceans expedition collected extensive ocean data and plankton samples, and now provides open science tools and resources to explore and analyze these data.

## Contribution

The paper introduces open science resources and detailed data registries for the Tara Oceans expedition to facilitate ecological and biological research.

## Key findings

- The Tara Oceans expedition collected over 35,000 samples from 210 ecosystems across 20 biogeographic provinces.
- Open science tools and data archives have been developed to explore and analyze the collected data.
- Detailed registries of all campaigns, stations, and sampling events are provided for research accessibility.

## Abstract

The Tara Oceans expedition (2009-2013) sampled contrasting ecosystems of the world oceans, collecting environmental data and plankton, from viruses to metazoans, for later analysis using modern sequencing and state-of-the-art imaging technologies. It surveyed 210 ecosystems in 20 biogeographic provinces, collecting over 35000 samples of seawater and plankton. The interpretation of such an extensive collection of samples in their ecological context requires means to explore, assess and access raw and validated data sets. To address this challenge, the Tara Oceans Consortium offers open science resources, including the use of open access archives for nucleotides (ENA) and for environmental, biogeochemical, taxonomic and morphological data (PANGAEA), and the development of on line discovery tools and collaborative annotation tools for sequences and images. Here, we present an overview of Tara Oceans Data, and we provide detailed registries (data sets) of all campaigns (from port-to-port), stations and sampling events.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/10.1101/019117/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/10.1101/019117/full.md

## References

76 references — full list in the complete paper: https://tomesphere.com/paper/10.1101/019117/full.md

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Source: https://tomesphere.com/paper/10.1101/019117