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  • 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 an optical particle counter ([EDM]; EDM180 GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) instrument acquiring continuously during the full course of the campaign. Aerosols pumped through one of the ([MAST-PUMP]) inlets were channeled through a conductive tubing of 1.9 cm inner diameter to four parallel 47mm filter holders installed in the rear hold using a vacuum pump (Diaphragm pumpME16 NT, VACUUBRAND BmbH & Co KG, Wertheim, Germany) at a minimum flow rate of 30 lpm (20lpm prior to may 2016). Air was conducted to an optical particle counter ([EDM]; EDM180 GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) measuring and counting particles in the size range 0.25 - 32 µm as a 30 minutes average, both the particle concentration (nb cm-3) together with its normalized size distribution (dN/dlogDp (nb cm-3 log(nm)-1) i.e., the concentration divided by the log of the width of the bin).
    Keywords: aerosol; DATE/TIME; Fondation Tara Expeditions; FondTara; LATITUDE; Log-normal particle size distribution; LONGITUDE; Optical particle counter ([EDM]; EDM180 GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) measuring and counting particles in 30 minutes average; Pacific Ocean; Particle concentration, standard deviation; Particle number, total; size distribution; SV Tara; TARA_2016-2018; Tara_Pacific; TARA_PACIFIC_2016-2018; Tara Pacific Expedition; UMS; Underway, multiple sensors
    Type: Dataset
    Format: text/tab-separated-values, 1851846 data points
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  • 2
    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 an optical particle counter ([EDM]; EDM180 GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) instrument acquiring continuously during the full course of the campaign. Aerosols pumped through one of the ([MAST-PUMP]) inlets were channeled through a conductive tubing of 1.9 cm inner diameter to four parallel 47mm filter holders installed in the rear hold using a vacuum pump (Diaphragm pumpME16 NT, VACUUBRAND BmbH & Co KG, Wertheim, Germany) at a minimum flow rate of 30 lpm (20lpm prior to may 2016). Air was conducted to an optical particle counter ([EDM]; EDM180 GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) measuring and counting particles in the size range 0.25 - 32 µm every 60 seconds.
    Keywords: aerosol; DATE/TIME; Fondation Tara Expeditions; FondTara; LATITUDE; LONGITUDE; Optical particle counter ([EDM]; EDM180 GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) measuring and counting particles in the size range 0.25 - 32 µm every 60 seconds; Pacific Ocean; Particle concentration, standard deviation; Particle number, total; size distribution; SV Tara; TARA_2016-2018; Tara_Pacific; TARA_PACIFIC_2016-2018; Tara Pacific Expedition; UMS; Underway, multiple sensors
    Type: Dataset
    Format: text/tab-separated-values, 30312 data points
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  • 3
    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 scanning mobility particle sizer ([SMPS], SMPS-C GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) instruments acquiring continuously during the full course of the campaign. Aerosols pumped through one of the ([MAST-PUMP]) inlets were channeled through a conductive tubing of 1.9 cm inner diameter to four parallel 47mm filter holders installed in the rear hold using a vacuum pump (Diaphragm pumpME16 NT, VACUUBRAND BmbH & Co KG, Wertheim, Germany) at a minimum flow rate of 30 lpm (20lpm prior to may 2016). Air was conducted to a scanning mobility particle sizer ([SMPS], SMPS-C GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) measuring particles in the size range 0.025 – 0.70 µm. The SMPS was set to perform a full scan of particle distribution every 5 min. Data from [SMPS] are averaged at the 30 minute scale and provided both at the scale of particle concentration (nb cm-3) together with its normalized size distribution (dN/dlogDp (nb cm-3) i.e., the concentration divided by the log of the width of the bin).
    Keywords: aerosols; DATE/TIME; Fondation Tara Expeditions; FondTara; LATITUDE; Log-normal particle size distribution, normalized concentration at particle diameter 101.82 nm; Log-normal particle size distribution, normalized concentration at particle diameter 101.82 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 105.54 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.54 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 109.41 nm; Log-normal particle size distribution, normalized concentration at particle diameter 109.41 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 113.42 nm; Log-normal particle size distribution, normalized concentration at particle diameter 113.42 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 117.57 nm; Log-normal particle size distribution, normalized concentration at particle diameter 117.57 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 121.88 nm; Log-normal particle size distribution, normalized concentration at particle diameter 121.88 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 126.35 nm; Log-normal particle size distribution, normalized concentration at particle diameter 126.35 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 130.97 nm; Log-normal particle size distribution, normalized concentration at particle diameter 130.97 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 135.77 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.77 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 140.75 nm; Log-normal particle size distribution, normalized concentration at particle diameter 140.75 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 145.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 145.9 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 151.25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 151.25 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 156.79 nm; Log-normal particle size distribution, normalized concentration at particle diameter 156.79 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 162.53 nm; Log-normal particle size distribution, normalized concentration at particle diameter 162.53 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 168.49 nm; Log-normal particle size distribution, normalized concentration at particle diameter 168.49 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 174.66 nm; Log-normal particle size distribution, normalized concentration at particle diameter 174.66 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 181.06 nm; Log-normal particle size distribution, normalized concentration at particle diameter 181.06 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 187.69 nm; Log-normal particle size distribution, normalized concentration at particle diameter 187.69 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 194.56 nm; Log-normal particle size distribution, normalized concentration at particle diameter 194.56 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 201.69 nm; Log-normal particle size distribution, normalized concentration at particle diameter 201.69 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 209.08 nm; Log-normal particle size distribution, normalized concentration at particle diameter 209.08 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 216.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 216.74 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 224.68 nm; Log-normal particle size distribution, normalized concentration at particle diameter 224.68 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 232.91 nm; Log-normal particle size distribution, normalized concentration at particle diameter 232.91 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 241.44 nm; Log-normal particle size distribution, normalized concentration at particle diameter 241.44 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 25.03 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25.03 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 25.95 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25.95 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 250.29 nm; Log-normal particle size distribution, normalized concentration at particle diameter 250.29 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 259.46 nm; Log-normal particle size distribution, normalized concentration at particle diameter 259.46 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 26.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 26.9 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 268.96 nm; Log-normal particle size distribution, normalized concentration at particle diameter 268.96 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 27.88 nm; Log-normal particle size distribution, normalized concentration at particle diameter 27.88 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 278.81 nm; Log-normal particle size distribution, normalized concentration at particle diameter 278.81 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 28.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 28.9 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 289.03 nm; Log-normal particle size distribution, normalized concentration at particle diameter 289.03 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 29.96 nm; Log-normal particle size distribution, normalized concentration at particle diameter 29.96 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 299.61 nm; Log-normal particle size distribution, normalized concentration at particle diameter 299.61 nm, standard deviation; Log-normal particle size distribution, normalized concentration at particle diameter 31.06 nm; Log-
    Type: Dataset
    Format: text/tab-separated-values, 2410457 data points
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  • 4
    Publication Date: 2022-10-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Gorsky, G., Bourdin, G., Lombard, F., Pedrotti, M. L., Audrain, S., Bin, N., Boss, E., Bowler, C., Cassar, N., Caudan, L., Chabot, G., Cohen, N. R., Cron, D., De Vargas, C., Dolan, J. R., Douville, E., Elineau, A., Flores, J. M., Ghiglione, J. F., Haentjens, N., Hertau, M., John, S. G., Kelly, R. L., Koren, I., Lin, Y., Marie, D., Moulin, C., Moucherie, Y., Pesant, S., Picheral, M., Poulain, J., Pujo-Pay, M., Reverdin, G., Romac, S., Sullivan, M. B., Trainic, M., Tressol, M., Trouble, R., Vardi, A., Voolstra, C. R., Wincker, P., Agostini, S., Banaigs, B., Boissin, E., Forcioli, D., Furla, P., Galand, P. E., Gilson, E., Reynaud, S., Sunagawa, S., Thomas, O. P., Thurber, R. L. V., Zoccola, D., Planes, S., Allemand, D., Karsenti, E. Expanding Tara oceans protocols for underway, ecosystemic sampling of the ocean-atmosphere interface during Tara Pacific expedition (2016-2018). Frontiers in Marine Science, 6, (2019): 750, doi: 10.3389/fmars.2019.00750.
    Description: Interactions between the ocean and the atmosphere occur at the air-sea interface through the transfer of momentum, heat, gases and particulate matter, and through the impact of the upper-ocean biology on the composition and radiative properties of this boundary layer. The Tara Pacific expedition, launched in May 2016 aboard the schooner Tara, was a 29-month exploration with the dual goals to study the ecology of reef ecosystems along ecological gradients in the Pacific Ocean and to assess inter-island and open ocean surface plankton and neuston community structures. In addition, key atmospheric properties were measured to study links between the two boundary layer properties. A major challenge for the open ocean sampling was the lack of ship-time available for work at “stations”. The time constraint led us to develop new underway sampling approaches to optimize physical, chemical, optical, and genomic methods to capture the entire community structure of the surface layers, from viruses to metazoans in their oceanographic and atmospheric physicochemical context. An international scientific consortium was put together to analyze the samples, generate data, and develop datasets in coherence with the existing Tara Oceans database. Beyond adapting the extensive Tara Oceans sampling protocols for high-resolution underway sampling, the key novelties compared to Tara Oceans’ global assessment of plankton include the measurement of (i) surface plankton and neuston biogeography and functional diversity; (ii) bioactive trace metals distribution at the ocean surface and metal-dependent ecosystem structures; (iii) marine aerosols, including biological entities; (iv) geography, nature and colonization of microplastic; and (v) high-resolution underway assessment of net community production via equilibrator inlet mass spectrometry. We are committed to share the data collected during this expedition, making it an important resource important resource to address a variety of scientific questions.
    Description: We are thankful for the commitment of the people and the following institutions, for their financial and scientific support that made this singular expedition possible: CNRS, PSL, CSM, EPHE, Genoscope/CEA, Inserm, Université Cote d’Azur, ANR, the Tara Ocean Foundation and its partners agnès b., UNESCO-IOC, the Veolia Environment Foundation, Région Bretagne, Serge Ferrari, Billerudkorsnas, Amerisource Bergen Company, Altran, Lorient Agglomeration, Oceans by Disney, the Prince Albert II de Monaco Foundation, L’Oréal, Biotherm, France Collectivités, Kankyo Station, Fonds Français pour l’Environnement Mondial (FFEM), Etienne Bourgois, the Tara Ocean Foundation teams and crew. Tara Pacific would not exist without the continuous support of the participating institutes. This study has been conducted using E.U. Copernicus Marine Service Information and Mercator Ocean products. We acknowledge funding from the Investissement d’avenir project France Génomique (ANR-10-INBS-09). FL is supported by Sorbonne Université, Institut Universitaire de France and the Fondation CA-PCA. The in-line and atmospheric optics dataset was collected and analyzed with support from NASA Ocean Biology and Biogeochemistry program under grants NNX13AE58G and NNX15AC08G to University of Maine. MF, IK, and AV are supported by a research grant from Scott Jordan and Gina Valdez, the De Botton for Marine Science, the Yeda-Sela center for Basic research, and the Sustainability and Energy Research Initiative (SAERI). NCo was supported by a grant from the Simons Foundation/SFARI (544236). NCa and YL were supported by the “Laboratoire d’Excellence” LabexMER (ANR-10-LABX-19) and co-funded by a grant from the French government under the program “Investissements d’Avenir.” The support of Pr. Alan Fuchs, President of CNRS, was crucial for the success of the surface sampling undertaken during the Tara Pacific expedition. We thank A. Gavilli from TECA Inc. France, and E. Tanguy and D. Delhommeau from the Institut de la Mer, Villefranche-sur-Mer for the helpful collaboration in the conception of the High Speed Net and the Dolphin systems. This publication is number 2 of the Tara Pacific Consortium.
    Keywords: Neuston/plankton genomics/taxonomy/imaging ; Aerosols ; NCP ; IOP ; Trace metals ; Microplastic
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
    Publication Date: 2015-05-11
    Description: Marine viruses constitute a major ecological and evolutionary driving force in the marine ecosystems. However, their dispersal mechanisms remain underexplored. Here we follow the dynamics ofEmiliania huxleyiviruses (EhV) that infect the ubiquitous, bloom-forming phytoplanktonE. huxleyiand show thatEhV are emitted to the atmosphere as primary marine aerosols. Using a laboratory-based setup, we showed that the dynamic ofEhV aerial emission is strongly coupled to the host–virus dynamic in the culture media. In addition, we recoveredEhV DNA from atmospheric samples collected over anE. huxleyibloom in the North Atlantic, providing evidence for aerosolization of marine viruses in their natural environment. Decay rate analysis in the laboratory revealed that aerosolized viruses can remain infective under meteorological conditions prevailing duringE. huxleyiblooms in the ocean, allowing potential dispersal and infectivity over hundreds of kilometers. Based on the combined laboratory and in situ findings, we propose that atmospheric transport ofEhV is an effective transmission mechanism for spreading viral infection over large areas in the ocean. This transmission mechanism may also have an important ecological impact on the large-scale host–virus “arms race” during bloom succession and consequently the turnover of carbon in the ocean.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 6
    Publication Date: 2018-08-01
    Electronic ISSN: 2589-0042
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Natural Sciences in General , Physics
    Published by Cell Press
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  • 7
    Publication Date: 2018-12-01
    Electronic ISSN: 2589-0042
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Natural Sciences in General , Physics
    Published by Cell Press
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  • 8
    Publication Date: 2017-02-14
    Description: Sixteen years of Tropical Rain Measuring Mission (TRMM) reflectivity profile data are collected for oceanic, continental, and island tropical regions within the boreal winter intertropical convergence zone (ITCZ). When sorted by the rain top height (RTH), a consistent behavior emerges where the average reflectivity profiles originating at different RTHs form non-overlapping manifolds in the height–reflectivity space, excluding the brightband regions for stratiform type profiles. Based on reflectivity slope (dBZ km−1) profile characteristics and physical considerations, the profiles are divided into three classes: 1) cold profiles, which originate above the −20°C isotherm height and display convergence to a single reflectivity slope profile independent of RTH; 2) warm profiles, which originate below the 0°C isotherm height and display strong reflectivity slope dependence on RTH, with slope values per RTH linearly decreasing with decreased height; and 3) mixed profiles, which originate at the layer located in between the lowest cold rain and highest warm rain profiles and show a gradual transition from cold profile to warm profile reflectivity slope behavior. Stratiform type profiles show similarity for all regions. It is shown that the typical tropical stratiform cold rain profile can be simply parameterized given the temperature profile. Convective type profiles present larger interregional differences. Their deviation from the typical stratiform cold rain profile is used as a measure for convective intensity, where continental and island regions show larger deviations compared to oceanic ones.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
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  • 9
    Publication Date: 2019-02-01
    Description: Shallow convection is a subgrid process in cloud-resolving models for which their grid box is larger than the size of small cumulus clouds (Cu). At the same time such Cu substantially affect radiation properties and thermodynamic parameters of the low atmosphere. The main microphysical parameters used for calculation of radiative properties of Cu in cloud-resolving models are liquid water content (LWC), effective droplet radius, and cloud fraction (CF). In this study, these parameters of fields of small, warm Cu are calculated using large-eddy simulations (LESs) performed using the System for Atmospheric Modeling (SAM) with spectral bin microphysics. Despite the complexity of microphysical processes, several fundamental properties of Cu were found. First, despite the high variability of LWC and droplet concentration within clouds and between different clouds, the volume mean and effective radii per specific level vary only slightly. Second, the values of effective radius are close to those forming during adiabatic ascent of air parcels from cloud base. These findings allow for characterization of a cloud field by specific vertical profiles of effective radius and of mean liquid water content, which can be calculated using the theoretical profile of adiabatic liquid water content and the droplet concentration at cloud base. Using the results of these LESs, a simple parameterization of cloud-field-averaged vertical profiles of effective radius and of liquid water content is proposed for different aerosol and thermodynamic conditions. These profiles can be used for calculation of radiation properties of Cu fields in large-scale models. The role of adiabatic processes in the formation of microstructure of Cu is discussed.
    Print ISSN: 0022-4928
    Electronic ISSN: 1520-0469
    Topics: Geography , Geosciences , Physics
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  • 10
    Publication Date: 2018-08-24
    Description: An understanding of sea spray aerosol (SSA) production is needed to better assess its influence on climate. Using satellite data, we investigated the production of the coarse mode of aerosol optical depth (AODc), a proxy for SSA, over the pristine South Pacific Gyre. The analysis was done on three time scales: daily, seasonal, and interannual. Scale-dependent links were shown between the AODc and wind speed (W). AODc and W were positively correlated on both daily and interannual time scales but were significantly anticorrelated on the seasonal time scale. Seasonality of the AODc − W link suggests contribution of other environmental factors. The main variable that could statistically explain trends in AODc on the seasonal time scale was chlorophyll a concentration, which showed a clear negative correlation with AODc. The AODc yield per W unit was clearly reduced when chlorophyll a concentration was high, suggesting a secondary, but important influence of marine biological activity on SSA production. ©2018. American Geophysical Union. All Rights Reserved.
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
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