Particles Volume scattering, backscattering, POC, phytoplankton carbon, using backscattering sensor [BB3] (WETLabs ECO-BB3) during the Tara Pacific Expedition 2016-2018

Fuente: PANGAEA
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bourdin, Guillaume, Boss, Emmanuel, Haëntjens, Nils, Lombard, Fabien, Gorsky, G, Moulin, Clémentine, Iwankow, Guillaume, Boissin, Emilie, Poulain, Julie, Romac, Sarah, Agostini, Sylvain, Banaigs, Bernard, Bowler, Chris, De Vargas, Colomban, Douville, Eric, Flores, J Michel, Forcioli, Didier, Furla, Paola, Galand, Pierre E, Gilson, Eric, Pesant, Stephane, Reynaud, Stéphanie, Sullivan, Matthew B, Sunagawa, Shinichi, Thomas, Olivier, Troublé, Romain, Vega Thurber, Rebecca, Voolstra, Christian R, Wincker, Patrick, Zoccola, Didier, Allemand, Denis, Planes, Serge
Format: Dataset Open Access
Sprache:en
Veröffentlicht: PANGAEA 2022
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1867170113757642752
author Bourdin, Guillaume
Boss, Emmanuel
Haëntjens, Nils
Lombard, Fabien
Gorsky, G
Moulin, Clémentine
Iwankow, Guillaume
Boissin, Emilie
Poulain, Julie
Romac, Sarah
Agostini, Sylvain
Banaigs, Bernard
Bowler, Chris
De Vargas, Colomban
Douville, Eric
Flores, J Michel
Forcioli, Didier
Furla, Paola
Galand, Pierre E
Gilson, Eric
Pesant, Stephane
Reynaud, Stéphanie
Sullivan, Matthew B
Sunagawa, Shinichi
Thomas, Olivier
Troublé, Romain
Vega Thurber, Rebecca
Voolstra, Christian R
Wincker, Patrick
Zoccola, Didier
Allemand, Denis
Planes, Serge
author_facet Bourdin, Guillaume
Boss, Emmanuel
Haëntjens, Nils
Lombard, Fabien
Gorsky, G
Moulin, Clémentine
Iwankow, Guillaume
Boissin, Emilie
Poulain, Julie
Romac, Sarah
Agostini, Sylvain
Banaigs, Bernard
Bowler, Chris
De Vargas, Colomban
Douville, Eric
Flores, J Michel
Forcioli, Didier
Furla, Paola
Galand, Pierre E
Gilson, Eric
Pesant, Stephane
Reynaud, Stéphanie
Sullivan, Matthew B
Sunagawa, Shinichi
Thomas, Olivier
Troublé, Romain
Vega Thurber, Rebecca
Voolstra, Christian R
Wincker, Patrick
Zoccola, Didier
Allemand, Denis
Planes, Serge
collection Datos científicos de ciencias marinas y ambientales
contents The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide the continuous dataset originating from backscattering sensor [BB3] (WETLabs ECO-BB3) instruments acquiring continuously during the full course of the campaign. Surface seawater was pumped continuously through a hull inlet located 1.5 m under the waterline using a membrane pump (10 LPM; Shurflo), circulated through a vortex debubbler, a flow meter, and distributed to a number of flow-through instruments. The backscattering sensor [BB3] (WETLabs ECO-BB3) was added to the underway system to measure the volume scattering function [VSF] at 124° and 3 wavelengths (470, 532, 650 nm). The flow was automatically directed through a 0.2 µm filter for 10 minutes every hour before being circulated through the [BB3] allowing the calculation of particulate backscattering [bbp] by removing the signal due to dissolved matter, drift, and biofouling (Slade et al. 2010, doi:10.1175/2010JTECHO755.1). The particulate organic carbon concentration [poc] was estimated by applying an empirical relation between measured [poc] and [bbp] (Cetinić et al. 2012, doi:10.1175/2010JTECHO755.1). Phytoplankton organic carbon [cphyto] was estimated by an empirical relationship with [bbp] (Graff et al. 2015, doi:10.1016/j.dsr.2015.04.006).
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_943793
institution PANGAEA
language en
publishDate 2022
publisher PANGAEA
record_format pangaea
spellingShingle Particles Volume scattering, backscattering, POC, phytoplankton carbon, using backscattering sensor [BB3] (WETLabs ECO-BB3) during the Tara Pacific Expedition 2016-2018
Bourdin, Guillaume
Boss, Emmanuel
Haëntjens, Nils
Lombard, Fabien
Gorsky, G
Moulin, Clémentine
Iwankow, Guillaume
Boissin, Emilie
Poulain, Julie
Romac, Sarah
Agostini, Sylvain
Banaigs, Bernard
Bowler, Chris
De Vargas, Colomban
Douville, Eric
Flores, J Michel
Forcioli, Didier
Furla, Paola
Galand, Pierre E
Gilson, Eric
Pesant, Stephane
Reynaud, Stéphanie
Sullivan, Matthew B
Sunagawa, Shinichi
Thomas, Olivier
Troublé, Romain
Vega Thurber, Rebecca
Voolstra, Christian R
Wincker, Patrick
Zoccola, Didier
Allemand, Denis
Planes, Serge
According to Cetinić et al. (2012); According to Graff et al. (2015); Backscatter; Backscattering coefficient of particles, 470 nm; Backscattering coefficient of particles, 532 nm; Backscattering coefficient of particles, 650 nm; Carbon, organic, particulate; CTD, Sea-Bird; measured with Thermosalinograph (TSG) sensor; DATE/TIME; Fondation Tara Expeditions; FondTara; LATITUDE; LONGITUDE; Number; Pacific Ocean; Phytoplankton, biomass as carbon; phytoplankton carbon; POC; Salinity; Spectral backscattering sensor (WET Labs, Eco-bb3); SV Tara; TARA_2016-2018; Tara_Pacific; TARA_PACIFIC_2016-2018; Tara Pacific Expedition; Temperature, water; UMS; Underway, multiple sensors; Volume scattering function at 124°, 470 nm; Volume scattering function at 124°, 470 nm, standard deviation; Volume scattering function at 124°, 532 nm; Volume scattering function at 124°, 532 nm, standard deviation; Volume scattering function at 124°, 650 nm; Volume scattering function at 124°, 650 nm, standard deviation
The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide the continuous dataset originating from backscattering sensor [BB3] (WETLabs ECO-BB3) instruments acquiring continuously during the full course of the campaign. Surface seawater was pumped continuously through a hull inlet located 1.5 m under the waterline using a membrane pump (10 LPM; Shurflo), circulated through a vortex debubbler, a flow meter, and distributed to a number of flow-through instruments. The backscattering sensor [BB3] (WETLabs ECO-BB3) was added to the underway system to measure the volume scattering function [VSF] at 124° and 3 wavelengths (470, 532, 650 nm). The flow was automatically directed through a 0.2 µm filter for 10 minutes every hour before being circulated through the [BB3] allowing the calculation of particulate backscattering [bbp] by removing the signal due to dissolved matter, drift, and biofouling (Slade et al. 2010, doi:10.1175/2010JTECHO755.1). The particulate organic carbon concentration [poc] was estimated by applying an empirical relation between measured [poc] and [bbp] (Cetinić et al. 2012, doi:10.1175/2010JTECHO755.1). Phytoplankton organic carbon [cphyto] was estimated by an empirical relationship with [bbp] (Graff et al. 2015, doi:10.1016/j.dsr.2015.04.006).
title Particles Volume scattering, backscattering, POC, phytoplankton carbon, using backscattering sensor [BB3] (WETLabs ECO-BB3) during the Tara Pacific Expedition 2016-2018
topic According to Cetinić et al. (2012); According to Graff et al. (2015); Backscatter; Backscattering coefficient of particles, 470 nm; Backscattering coefficient of particles, 532 nm; Backscattering coefficient of particles, 650 nm; Carbon, organic, particulate; CTD, Sea-Bird; measured with Thermosalinograph (TSG) sensor; DATE/TIME; Fondation Tara Expeditions; FondTara; LATITUDE; LONGITUDE; Number; Pacific Ocean; Phytoplankton, biomass as carbon; phytoplankton carbon; POC; Salinity; Spectral backscattering sensor (WET Labs, Eco-bb3); SV Tara; TARA_2016-2018; Tara_Pacific; TARA_PACIFIC_2016-2018; Tara Pacific Expedition; Temperature, water; UMS; Underway, multiple sensors; Volume scattering function at 124°, 470 nm; Volume scattering function at 124°, 470 nm, standard deviation; Volume scattering function at 124°, 532 nm; Volume scattering function at 124°, 532 nm, standard deviation; Volume scattering function at 124°, 650 nm; Volume scattering function at 124°, 650 nm, standard deviation
url https://doi.org/10.1594/PANGAEA.943793