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  • Coral Bleaching Automated Stress System (CBASS)  (3)
  • 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  (1)
Document type
Keywords
Years
  • 1
    Publication Date: 2024-01-06
    Description: 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).
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 6020692 data points
    Location Call Number Limitation Availability
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Red Sea Gradient Visual Bleaching
    Description: This dataset contains measurements of visual bleaching following 18-hour acute thermal stress experiments, where temperatures were ramped up to 30, 33, 36, and 39 degrees Celsius. Four coral species (Acropora hemprichii, Pocillopora verrucosa, Porites lobata, and Stylophora pistillata) were sampled from six sites along the length of the Red Sea, down to Djibouti in the Gulf of Aden. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/863800
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1833201
    Keywords: Ocean warming ; Red Sea ; Thermal stress ; Coral thermotolerance ; Standardized acute assays ; Coral Bleaching Automated Stress System (CBASS)
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Red Sea Gradient Fv/Fm
    Description: This dataset contains measurements of coral physiology (Fv/Fm) during 18-hour acute thermal stress experiments, where temperatures were ramped up to 30, 33, 36, and 39 degrees Celsius. Four coral species (Acropora hemprichii, Pocillopora verrucosa, Porites lobata, and Stylophora pistillata) were sampled from six sites along the length of the Red Sea, down to Djibouti in the Gulf of Aden. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/863771
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1833201
    Keywords: Ocean warming ; Red Sea ; Thermal stress ; Coral thermotolerance ; Standardized acute assays ; Coral Bleaching Automated Stress System (CBASS)
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Red Sea Gradient Physiology
    Description: This dataset contains measurements of coral physiology (chlorophyll a and symbiont densities) following 18-hour acute thermal stress experiments, where temperatures were ramped up to 30, 33, 36, and 39 degrees Celsius. Four coral species (Acropora hemprichii, Pocillopora verrucosa, Porites lobata, and Stylophora pistillata) were sampled from six sites along the length of the Red Sea, down to Djibouti in the Gulf of Aden. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/863786
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1833201
    Keywords: Ocean warming ; Red Sea ; Thermal stress ; Coral thermotolerance ; Standardized acute assays ; Coral Bleaching Automated Stress System (CBASS)
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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