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Open science resources for the discovery and analysis of Tara Oceans data
Open accessAbstract
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 35,000 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.
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Cites
The Microbial Engines That Drive Earth's Biogeochemical Cycles
Falkowski, P. G., Fenchel, T., & Delong, E. F. (2008) · Science · doi:10.1126/science.1153213 · Cited by 3,379
Body size in ecological networks
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Breitbart, M. (2012) · Annual Review of Marine Science · doi:10.1146/annurev-marine-120709-142805 · Cited by 607
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Self-citationPatterns and ecological drivers of ocean viral communities
Brum, J. R., Ignacio-Espinoza, J. C., Roux, S., Doulcier, G., Acinas, S. G., Alberti, A., Chaffron, S., Cruaud, C., de Vargas, C., Gasol, J. M., et al. (2015) · Science · doi:10.1126/science.1261498 · Cited by 785
Self-citationInsights into global diatom distribution and diversity in the world’s ocean
Malviya, S., Scalco, E., Audic, S., Vincent, F., Veluchamy, A., Poulain, J., Wincker, P., Iudicone, D., de Vargas, C., Bittner, L., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1509523113 · Cited by 773
Self-citationThe reconstruction of 2,631 draft metagenome-assembled genomes from the global oceans
Tully, B. J., Graham, E. D., & Heidelberg, J. F. (2018) · Scientific Data · doi:10.1038/sdata.2017.203 · Cited by 508
Tara Oceans: towards global ocean ecosystems biology
Sunagawa, S., Acinas, S. G., Bork, P., Bowler, C., Coordinators, T. O., Acinas, S. G., Babin, M., Bork, P., Boss, E., Bowler, C., et al. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0364-5 · Cited by 490
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Metadata
- Authors
- Pesant, S., Not, F., Picheral, M., Kandels-Lewis, S., Le Bescot, N., Gorsky, G., Iudicone, D., Karsenti, E., Speich, S., Troublé, R., Dimier, C., Searson, S., Tara Oceans Consortium Coordinators, Acinas, S. G., Bork, P., Boss, E., Bowler, C., De Vargas, C., Follows, M., Gorsky, G., Grimsley, N., Hingamp, P., Iudicone, D., Jaillon, O., Kandels-Lewis, S., Karp-Boss, L., Karsenti, E., Krzic, U., Not, F., Ogata, H., Pesant, S., Raes, J., Reynaud, E. G., Sardet, C., Sieracki, M., Speich, S., Stemmann, L., Sullivan, M. B., Sunagawa, S., Velayoudon, D., Weissenbach, J., & Wincker, P.
- Venue
- Scientific Data
- Published
- 2015-05-26
- Volume
- 2
- Issue
- 1
- Pages
- 150023-150023
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W2922146544
- Cited by
- 431
- References
- 3
- Type
- data paper
- Language
- en
- Open access
- gold
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- The paper
- Pesant, S., Not, F., Picheral, M., Kandels-Lewis, S., Le Bescot, N., Gorsky, G., Iudicone, D., Karsenti, E., Speich, S., Troublé, R., Dimier, C., Searson, S., Tara Oceans Consortium Coordinators, Acinas, S. G., Bork, P., Boss, E., Bowler, C., De Vargas, C., Follows, M., . . . Wincker, P. (2015). Open science resources for the discovery and analysis of Tara Oceans data. Scientific Data. https://doi.org/10.1038/sdata.2015.23
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
