Dataset
EurOBIS MeasurementOrFact Open in mapper Explore occurrences
The Tara Pacific expedition sampled differents ecosystems of the oceans during a two-year expedition (2016-2018), collecting environmental data and surface plankton of Atlantic and Pacific Ocean, from viruses to metazoans, on board the 36-metre Tara Schooner. Mesoplankton was sampled using the High-Speed Net (330-micron mesh size), a net designed to collect plankton while sailing at high speed.
See https://doi.org/10.17882/102336 for more details.
Citation: Mériguet Z, Lombard F, Bourdin G, Jalabert L, Bun O, Caray--Counil L, Elineau A, Gorsky G, The Tara Pacific Consortium (2026). Global scale surface meso-plankton dataset collected with High-Speed Net and imaged with ZooScan during the Tara Pacific Expedition. Version 1.2. EcoTaxa. Samplingevent dataset. https://ipt.data-terra.org/resource?r=tara-pac-zooscan-hsn&v=1.2
Published: March 04, 2026 at 11:24
License: This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License
URL: https://ipt.data-terra.org/resource?r=tara-pac-zooscan-hsn
Contacts:
Zoé Mériguet
Sorbonne Université; Sorbonne Université/CNRS, Laboratoire d'Océanographie de Villefranche
Fabien Lombard
Sorbonne Université; Sorbonne Université/CNRS, Laboratoire d'Océanographie de Villefranche
Guillaume Bourdin
School of Marine Sciences, University of Maine, Orono, Maine 04401, USA
Laetitia Jalabert
Sorbonne Université; Sorbonne Université/CNRS, Institut de la Mer de Villefranche
Olivier Bun
Sorbonne Université; Sorbonne Université/CNRS, Laboratoire d'Océanographie de Villefranche
Louis Caray--Counil
Sorbonne Université; Sorbonne Université/CNRS, Laboratoire d'Océanographie de Villefranche
Amanda Elineau
Sorbonne Université; Sorbonne Université/CNRS, Institut de la Mer de Villefranche
Gaby Gorsky
Sorbonne Université; Sorbonne Université/CNRS, Laboratoire d'Océanographie de Villefranche
The Tara Pacific Consortium
The Tara Pacific Consortium
| Field | Missing | Invalid | |
|---|---|---|---|
| coordinateUncertaintyInMeters | 5,062 |
|
The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.
| Flag | Dropped | Records | |
|---|---|---|---|
| ON_LAND | 36 |
|