Plankton community in WP2 net (200µm), DYFAMED point, Ligurian Sea, France

Jean-Olivier Irisson1, Laurent Coppola2, Justine Courboulès2, Corinne Desnos3, Amanda Elineau3, Lionel Guidi2, Jean-Olivier Irisson2, Lars Stemmann2, Emilie Diamond3

1 LOV, , France; 2 LOV, , France; 3 IMEV, , France

Corresponding author(s): , Jean-Olivier Irisson (irisson@obs-vlfr.fr)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Abstract

This series is part of the long term planktonic monitoring of Villefranche-sur-mer, which is one of the oldest and richest in the world. It aims at describing the dynamics of the mesozooplankton community. The data collection and processing has been funded by several projects over its lifetime. It is currently supported directly by the Institut de la Mer de Villefranche (IMEV), as part of its long term monitoring effort, and by the MOOSE program of the Research Infrastructure ILICO. This dataset contains the planktonic organisms collected by a WP2 net (200µm mesh) and therefore cover organisms from 200µm to ~2cm.

Keywords: Plankton, Imaging, EcoTaxa, Samplingevent

Data published through GBIF: https://ipt.gbif.org/resource?r=dasid_6508

Taxonomic coverage

Spatial coverage

General spatial coverage: See coordinates
Coordinates: 43°22'0''N and 43°25'0''N Latitude; 7°50'60''E and 7°54'0''E Longitude 

Temporal coverage: June 29, 2001 - October 23, 2018

Datasets

Dataset description
Object name: Darwin Core Archive Plankton community in WP2 net (200µm), DYFAMED point, Ligurian Sea, France
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://ipt.gbif.org/archive.do?r=dasid_6508
Publication date of data: 2021-04-16
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: English
Date of metadata creation: 2021-04-16
Hierarchy level: Dataset