FN Archimer Export Format
PT J
TI Metazoan zooplankton in the Bay of Biscay: a 16-year record of individual sizes and abundances obtained using the ZooScan and ZooCAM imaging systems
BT 
AF Grandremy, Nina
   Bourriau, Paul
   Daché, Edwin
   Danielou, Marie-Madeleine
   Doray, Mathieu
   Dupuy, Christine
   Forest, Bertrand
   Jalabert, Laetitia
   Huret, Martin
   Le Mestre, Sophie
   Nowaczyk, Antoine
   Petitgas, Pierre
   Pineau, Philippe
   Rouxel, Justin
   Tardivel, Morgan
   Romagnan, Jean-Baptiste
AS 1:1;2:1;3:2;4:3;5:1;6:4;7:5;8:6;9:7;10:7;11:8;12:9;13:4;14:10;15:10;16:1;
FF 1:PDG-RBE-HALGO-EMH;2:PDG-RBE-HALGO-EMH;3:PDG-REM-BEEP-LEP;4:PDG-ODE-DYNECO-PELAGOS;5:PDG-RBE-HALGO-EMH;6:;7:PDG-REM-RDT-LHYMAR;8:;9:PDG-RBE-HALGO-LBH;10:PDG-RBE-HALGO-LBH;11:;12:PDG-RBE;13:;14:PDG-REM-RDT-LDCM;15:PDG-REM-RDT-LDCM;16:PDG-RBE-HALGO-EMH;
C1 DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France.
   Unité Biologie et Ecologie des Ecosystèmes marins Profonds, Laboratoire Environnement Profond, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
   Unité DYNECO-PELAGOS, Laboratoire d’Ecologie Pélagique, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France
   BIOFEEL, UMRi LIENSs, La Rochelle University / CNRS, 2, rue Olympe de Gouges, 17000 La Rochelle, France.
   Laboratoire Hydrodynamique Marine, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France
   Sorbonne Université, Institut de la Mer de Villefranche, 06230 Villefranche‐sur‐mer, France
   DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France
   UMR CNRS 5805 EPOC – OASU, Station Marine d'Arcachon, Université de Bordeaux, 2 Rue du Professeur Jolyet, 33120 Arcachon, France.
   Departement Ressources Biologiques et Environnement, Ifremer Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France
   Laboratoire Détection, Capteurs et Mesures, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
C2 IFREMER, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   UNIV LA ROCHELLE, FRANCE
   IFREMER, FRANCE
   UNIV SORBONNE, FRANCE
   IFREMER, FRANCE
   UNIV BORDEAUX, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
SI NANTES
   BREST
SE PDG-RBE-HALGO-EMH
   PDG-REM-BEEP-LEP
   PDG-ODE-DYNECO-PELAGOS
   PDG-REM-RDT-LHYMAR
   PDG-RBE-HALGO-LBH
   PDG-RBE
   PDG-REM-RDT-LDCM
UM BEEP-LM2E
   DECOD
IN WOS Ifremer UPR
   WOS Ifremer UMR
   DOAJ
   copubli-france
   copubli-univ-france
IF 11.4
TC 0
UR https://archimer.ifremer.fr/doc/00841/95247/103002.pdf
   https://archimer.ifremer.fr/doc/00841/95247/109305.pdf
LA English
DT Article
CR PELGAS
AB This paper presents two metazoan zooplankton datasets obtained by imaging samples collected on the Bay of Biscay continental shelf in spring during the PELGAS integrated surveys, over the 2004–2019 period. The samples were collected at night, with a WP2 200 µm mesh size fitted with a Hydrobios (back-run stop) mechanical flowmeter, hauled vertically from the sea floor to the surface with a maximum depth set at 100 m when the bathymetry is deeper. The first dataset originates from samples collected from 2004 to 2016, imaged on land with the ZooScan and is composed of 1,153,507 imaged and measured objects. The second dataset originates from samples collected from 2016 to 2019, imaged on board the R/V Thalassa with the ZooCAM and is composed of 702,111 imaged and measured objects. The imaged objects is composed of zooplankton individuals, zooplankton pieces, non-living particles and imaging artefacts, ranging from 300 µm to 3.39 mm Equivalent Spherical Diameter, individually imaged, measured and identified. Each imaged object is geolocated, associated to a station, a survey, a year and other metadata. Each object is described by a set of morphological and grey level based features (8 bits encoding, 0 = black, 255 = white), including size, automatically extracted on each individual image. Each object was taxonomically identified using the web based application Ecotaxa with built-in, random forest and CNN based, semi-automatic sorting tools followed by expert validation or correction. The objects were sorted in 172 taxonomic and morphological groups. Each dataset features a table combining metadata and data, at the individual object granularity, from which one can easily derive quantitative population and communities descriptors such as abundances, mean sizes, biovolumes, biomasses, and size structure. Each object’s individual image is provided along with the data. These two datasets can be used combined together for ecological studies as the two instruments are interoperable, or as training sets for ZooScan and ZooCAM users. 
PY 2024
PD MAR
SO Earth System Science Data
SN 1866-3508
PU Copernicus GmbH
VL 16
IS 3
UT 001190666000001
BP 1265
EP 1282
DI 10.5194/essd-16-1265-2024
ID 95247
ER

EF