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  • Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition  (5)
  • 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)
  • PANGAEA  (6)
  • American Association for the Advancement of Science (AAAS)
  • Oxford University Press
Collection
Keywords
Publisher
  • PANGAEA  (6)
  • American Association for the Advancement of Science (AAAS)
  • Oxford University Press
Years
  • 1
    Publication Date: 2024-01-06
    Description: The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. During the entire expedition (2009-2013), underway measurements were obtained from a meteorological station (BATOS), a thermosalinograph (TSG, SBE 45), a Fast Repetition Rate Flurometer (FRRF, LIFT-FRR01), and a spectrophotometer (WETLabs AC-S). In 2013 underway measurements were enhanced by adding a Photosynthetically Available Radiation (PAR) sensor (QCP2350, Biospherical Instruments, Inc.), a laser spectrofluorometer (WETLabs ALFA, Chekalyuk et al., 2012) that replaced the FRRF, a spectral backscattering sensor (WETLabs Eco-bb3), a pCO2 sensor (ProOceanus CO2-Pro), a pH sensor (Satlantic, SeaFET) and a particle imaging system triggered by chlorophyll-a fluorescence (a prototype of McLane Research Laboratories' Imaging FlowCytobot, Sosik Lab, WHOI). Discrete measurements of CDOM absorption measurements were made using an Ultrapath (WPI Inc.) to calibrate the in-line AC-S. Hence the AC-S was also used to provide CDOM absorption in addition to particulate matter properties. The present collection includes three data sets that are harmonised with a common time stamp. The source data sets given in the reference section.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 2
    Publication Date: 2024-01-06
    Description: The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides raw validated data of continuous measurements made with a Biospherical Instrument Inc. QCR-2150 surface PAR sensor mounted on a sensor mast at the stern of the ship (ca. 8m above deck) and time synchronized with the CTD recording unit. The sensor consists of a cosine collector and was also utilized to correct the CTD PAR sensor data. The dark was computed as the lowest 0.01% voltage of the signal that was found to be very stable (0.00965V) for all the legs except for the 2nd leg of the polar circle where there was no complete night (the manufacturer dark was 0.0097V). The manufacturer calibration slope from 12/ 2012 was used to transform the data to scientific units.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 5.6 MBytes
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  • 3
    Publication Date: 2024-01-06
    Description: The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides raw validated data of continuous measurements made with a WETLabs Eco-FL sensor mounted on the flowthrough system between June 4th, 2011 and March 30th, 2012. Data was recorded approximately every 10s. Two issues affected the data: 1. Periods when the water 0.2µm filtered water were used as blanks and 2. Periods where fluorescence was affected by non-photochemical quenching (NPQ, chlorophyll fluorescence is reduced when cells are exposed to light, e.g. Falkowski and Raven, 1997). Median data and their standard deviation were binned to 5min bins with period of light/dark indicated by an added variable (so that NPQ affected data could be neglected if the user so chooses). Data was first calibrated using HPLC data collected on the Tara (there were 36 data within 30min of each other). Fewer were available when there was no evident NPQ and the resulting scale factor was 0.0106 mg Chl m-3/count. To increase the calibration match-ups we used the AC-S data which provided a robust estimate of Chlorophyll (e.g. Boss et al., 2013). Scale factor computed over a much larger range of values than HPLC was 0.0088 mg Chl m-3/count (compared to 0.0079 mg Chl m-3/count based on manufacturer). In the archived data the fluorometer data is merged with the TSG, raw data is provided as well as manufacturer calibration constants, blank computed from filtered measurements and chlorophyll calibrated using the AC-S. For a full description of the processing of the Eco-FL please see Taillandier (2015).
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 2.8 MBytes
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  • 4
    Publication Date: 2024-01-06
    Description: The present data publication provides permanent links to original and updated versions of validated data files. The data files include properties of seawater, particulate matter and dissolved matter from physical, optical and imaging sensors mounted on a vertical sampling system (Rosette) used during the 2009-2013 tara Oceans Expedition. It comprised 2 pairs of conductivity and temperature sensors (SEABIRD components), and a complete set of WEtLabs optical sensors, including chrorophyll and CDOM fluorometers, a 25 cm transmissiometer, and a one-wavelength backscatter meter. In addition, a SATLANTIC ISUS nitrate sensor and a Hydroptic Underwater Vision Profiler (UVP) were mounted on the rosette. In the Arctic Ocean and Arctic Seas (2013), a second oxygen sensor (SBE43) and a four frequency Aquascat acoustic profiler were added. The system was powered on specific Li-Ion batteries and data were self-recorded at 24HZ. Sensors have all been factory calibrated before, during and after the four year program. Oxygen was validated using climatologies (WOA09). Nitrate and Fluorescence data were adjusted with discrete measurements from Niskin bottles mounted on the Rosette, and optical darks were performed monthly on board. A total of 839 quality checked vertical profiles were made during the tara Oceans expedition 2009-2013.
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 29.3 MBytes
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  • 5
    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 Expected Availability
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  • 6
    Publication Date: 2024-04-27
    Description: The present data publication provides permanent links to original and updated versions of validated data files. The data files include properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically (Edmond 1970; DOE 1994) on samples preserved according to Dickson et al. (2007). More than 250 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: Fondation Tara Expeditions; FondTara; Tara_Oceans_2009-2013; Tara Oceans Expedition
    Type: Dataset
    Format: application/zip, 870.8 kBytes
    Location Call Number Expected Availability
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