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  • 1
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    Accumulation of nanoparticles in “jellyfish” mucus: a bio-inspired route to decontamination of nano-waste (2015)
    Springer Nature
    Details
    Publication Date: 2015-06-23
    Description: The economic and societal impacts of nano-materials are enormous. However, releasing such materials in the environment could be detrimental to human health and the ecological biosphere. Here we demonstrate that gold and quantum dots nanoparticles bio-accumulate into mucus materials coming from natural species such as jellyfish. One strategy that emerges from this finding would be to take advantage of these trapping properties to remove nanoparticles from contaminated water. Scientific Reports 5 doi: 10.1038/srep11387
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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  • 2
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    Prey taxonomy rather than size determines salp diets (2019)
    Wiley
    Details
    Publication Date: 2019
    Description: Abstract Salps are gelatinous planktonic suspension feeders that filter large volumes of water in the food‐dilute open ocean. Their life cycle allows periodic exponential growth and population blooms. Dense swarms of salps have a high grazing impact that can deplete the photic zone of phytoplankton and export huge quantities of organic matter to the deep sea. Previous studies described their feeding manner as mostly nonselective, with larger particles retained at higher efficiencies than small particles. To examine salp diets, we used direct in situ sampling (InEx method) of undisturbed solitary Salpa maxima. Aggregates (“chains”) of Salpa fusiformis and Thalia democratica were studied using in situ incubations. Our findings suggest that in situ feeding rates are higher than previously reported and that cell removal is size independent with ∼ 1 μm picoeukaryotes preferentially removed over both larger eukaryotes and smaller bacteria. The prey : predator size ratios we measured (1 : 104–1 : 105) are an order of magnitude smaller than previously reported values and to the best of our knowledge, are the smallest values reported so far for any planktonic suspension feeders. Despite differences among the three species studied, they had similar prey preferences with no correlation between salp body length and prey size. Our findings shed new light on prey : predator relationships in planktonic systems—in particular, that factors other than size influence filtration efficiency—and suggest that in situ techniques should be devised and applied for the study of suspension feeding in the ocean.
    Print ISSN: 0024-3590
    Electronic ISSN: 1939-5590
    Topics: Biology , Geosciences , Physics
    Published by Wiley on behalf of The Association for the Sciences of Limnology and Oceanography (ASLO).
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  • 3
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    Coastal Plankton (2014)
    Wiley
    Details
    Publication Date: 2014-12-27
    Topics: Biology , Geosciences
    Published by Wiley on behalf of The Association for the Sciences of Limnology and Oceanography (ASLO).
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  • 4
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    Pan-Arctic plankton community structure and its global connectivity (2023)
    In:  Elementa: Science of the Anthropocene vol. 11 no. 1
    Details
    Publication Date: 2024-03-28
    Description: The Arctic Ocean (AO) is being rapidly transformed by global warming, but its biodiversity remains understudied for many planktonic organisms, in particular for unicellular eukaryotes that play pivotal roles in marine food webs and biogeochemical cycles. The aim of this study was to characterize the biogeographic ranges of species that comprise the contemporary pool of unicellular eukaryotes in the AO as a first step toward understanding mechanisms that structure these communities and identifying potential target species for monitoring. Leveraging the Tara Oceans DNA metabarcoding data, we mapped the global distributions of operational taxonomic units (OTUs) found on Arctic shelves into five biogeographic categories, identified biogeographic indicators, and inferred the degree to which AO communities of unicellular eukaryotes share members with assemblages from lower latitudes. Arctic/Polar indicator OTUs, as well as some globally ubiquitous OTUs, dominated the detection and abundance of DNA reads in the Arctic samples. OTUs detected only in Arctic samples (Arctic-exclusives) showed restricted distribution with relatively low abundances, accounting for 10–16% of the total Arctic OTU pool. OTUs with high abundances in tropical and/or temperate latitudes (non-Polar indicators) were also found in the AO but mainly at its periphery. We observed a large change in community taxonomic composition across the Atlantic-Arctic continuum, supporting the idea that advection and environmental filtering are important processes that shape plankton assemblages in the AO. Altogether, this study highlights the connectivity between the AO and other oceans, and provides a framework for monitoring and assessing future changes in this vulnerable ecosystem.
    Keywords: Marine protists ; Unicellular ; Phytoplankton ; Global change ; Advection ; Environmental filtering
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 5
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    Unknown
    Metal data collected during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    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 total dissolvable (i.e. acidified unfiltered whole seawater) Fe, Zn, Mn, Ni, Cd, Co, Cu, and Pb concentrations for 242 surface seawater samples. Trace metal analyses were performed with the goals of characterizing the surface seawater trace metal distribution across the open ocean and coastal regions in both the Atlantic and Pacific, and exploring metal-dependent ecosystem structure and metabolism. Some of the findings include high concentrations of iron (Fe) and manganese (Mn) in several regions, such as the North Atlantic Ocean and near the South Pacific islands, possibly due to Saharan dust and hydrothermal vent input, respectively. Elevated lead (Pb) was found in the North Pacific near southeast Asia, where anthropogenic sources may contribute. We also observe interbasin differences in concentrations for most of the metals, such as cobalt (Co), which is relatively high in the North Atlantic in comparison to the Pacific, perhaps due to dust deposition or continental weathering. There are also intrabasin differences in metal concentrations between oligotrophic and upwelling regions, exemplified by the higher cadmium (Cd) concentrations near the Peruvian coast, likely due to upwelling. Overall we captured high-resolution trace metal data that depicts the nuances in the metal distribution of the global ocean.
    Keywords: Bottle, multi level trace metal; Cadmium, dissolved; Cobalt, dissolved; Comment; Copper, dissolved; Depth, bottom/max; Depth, top/min; DEPTH, water; Environmental feature; Event label; Fondation Tara Expeditions; FondTara; HANDHELD-BOW-POLE; INLINE-PUMP; Iron, dissolved; Lead, dissolved; Manganese, dissolved; MLTM; Nickel, dissolved; OA000-I00-S00; OA000-I10-S01; OA000-I10-S02; OA000-I14-S00; OA000-I18-S03; OA000-I21-S01; OA000-I21-S02; OA000-I31-S00; OA001-I00-S00; OA002-I00-S00; OA003-I00-S00; OA004-I00-S00; OA005-I00-S00; OA006-I00-S00; OA009-I00-S00; OA010-I00-S00; OA011-I00-S00; OA012-I00-S00; OA013-I00-S00; OA014-I00-S00; OA015-I00-S00; OA016-I00-S00; OA017-I00-S00; OA018-I00-S00; OA019-I00-S00; OA020-I00-S00; OA021-I00-S00; OA022-I00-S00; OA023-I00-S00; OA024-I00-S00; OA025-I00-S00; OA026-I00-S00; OA027-I00-S00; OA028-I00-S00; OA029-I03-S00; OA030-I03-S00; OA031-I00-S00; OA032-I00-S00; OA033-I00-S00; OA039-I00-S00; OA040-I00-S00; OA041-I04-S00; OA042-I04-S00; OA043-I04-S00; OA044-I04-S00; OA045-I00-S00; OA046-I00-S00; OA047-I00-S00; OA048-I05-S00; OA049-I05-S00; OA050-I05-S00; OA051-I00-S00; OA052-I00-S00; OA053-I06-S00; OA054-I06-S00; OA055-I06-S00; OA056-I00-S00; OA057-I00-S00; OA058-I00-S00; OA061-I07-S00; OA062-I00-S00; OA063-I08-S00; OA064-I08-S00; OA065-I00-S00; OA066-I09-S00; OA067-I09-S00; OA068-I10-S00; OA069-I10-S00; OA070-I10-S00; OA071-I10-S00; OA072-I11-S00; OA073-I11-S00; OA074-I11-S00; OA075-I12-S00; OA076-I12-S00; OA077-I12-S00; OA078-I00-S00; OA079-I00-S00; OA080-I13-S00; OA081-I13-S00; OA082-I13-S00; OA083-I13-S00; OA084-I00-S00; OA085-I00-S00; OA086-I00-S00; OA087-I00-S00; OA088-I00-S00; OA089-I14-S00; OA090-I14-S00; OA091-I14-S00; OA092-I15-S00; OA093-I15-S00; OA094-I00-S00; OA095-I16-S00; OA096-I00-S00; OA097-I00-S00; OA098-I00-S00; OA099-I00-S00; OA100-I00-S00; OA101-I00-S00; OA102-I00-S00; OA103-I00-S00; OA104-I00-S00; OA105-I00-S00; OA106-I00-S00; OA107-I00-S00; OA108-I00-S00; OA109-I00-S00; OA110-I00-S00; OA111-I00-S00; OA112-I00-S00; OA113-I00-S00; OA114-I00-S00; OA115-I00-S00; OA116-I00-S00; OA117-I00-S00; OA118-I00-S00; OA119-I00-S00; OA120-I00-S00; OA121-I00-S00; OA122-I00-S00; OA123-I00-S00; OA124-I00-S00; OA125-I00-S00; OA126-I00-S00; OA127-I18-S00; OA128-I18-S00; OA129-I18-S00; OA130-I18-S00; OA131-I00-S00; OA132-I00-S00; OA133-I00-S00; OA134-I00-S00; OA135-I00-S00; OA136-I00-S00; OA137-I00-S00; OA139-I00-S00; OA140-I19-S00; OA141-I19-S00; OA142-I19-S00; OA143-I19-S00; OA144-I00-S00; OA145-I20-S00; OA146-I20-S00; OA147-I00-S00; OA148-I21-S00; OA149-I21-S00; OA150-I00-S00; OA151-I00-S00; OA152-I00-S00; OA153-I00-S00; OA154-I00-S00; OA155-I22-S00; OA156-I23-S00; OA157-I23-S00; OA158-I23-S00; OA159-I23-S00; OA160-I24-S00; OA161-I24-S00; OA162-I24-S00; OA163-I00-S00; OA164-I00-S00; OA165-I00-S00; OA166-I25-S00; OA167-I26-S00; OA168-I26-S00; OA169-I00-S00; OA170-I27-S00; OA171-I27-S00; OA172-I28-S00; OA173-I00-S00; OA174-I00-S00; OA175-I00-S00; OA176-I00-S00; OA177-I00-S00; OA178-I00-S00; OA179-I00-S00; OA180-I00-S00; OA181-I00-S00; OA182-I00-S00; OA184-I00-S00; OA185-I00-S00; OA186-I00-S00; OA187-I00-S00; OA188-I00-S00; OA189-I00-S00; OA190-I29-S00; OA191-I29-S00; OA192-I00-S00; OA193-I00-S00; OA194-I00-S00; OA195-I00-S00; OA196-I00-S00; OA197-I00-S00; OA198-I00-S00; OA199-I00-S00; OA200-I00-S00; OA201-I00-S00; OA202-I00-S00; OA203-I00-S00; OA204-I00-S00; OA205-I00-S00; OA206-I00-S00; OA207-I00-S00; OA208-I00-S00; OA209-I00-S00; OA210-I00-S00; OA211-I00-S00; OA212-I00-S00; OA213-I00-S00; OA214-I00-S00; OA216-I30-S00; OA217-I00-S00; OA218-I00-S00; OA221-I31-S00; OA223-I00-S00; OA224-I00-S00; OA225-I00-S00; OA226-I00-S00; OA227-I00-S00; OA228-I00-S00; OA229-I00-S00; OA230-I32-S00; OA232-I32-S00; OA233-I00-S00; OA234-I00-S00; OA235-I00-S00; OA236-I00-S00; OA237-I00-S00; OA238-I00-S00; OA240-I00-S00; OA241-I00-S00; OA242-I00-S00; OA243-I00-S00; OA244-I00-S00; OA245-I00-S00; OA246-I00-S00; OA247-I00-S00; OA249-I00-S00; Pacific; Quality control; Sample code/label; Sample comment; Sample ID; surface seawater; SV Tara; TARA_20160529T1635Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160530T1630Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160531T1345Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160601T1629Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160602T1436Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160604T1445Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160605T1850Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160608T1605Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160609T1734Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160610T1502Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160611T1513Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160613T1430Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160614T1325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160615T1643Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160616T1906Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160617T1920Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160618T1702Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160619T1928Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160620T2234Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160621T1710Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160622T1700Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160623T1715Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160624T2100Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160625T1800Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160626T1800Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160627T1350Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160706T2202Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160712T1649Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160816T2000Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160817T2124Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160818T2253Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160819T2150Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160819T2355Z_D_O-SRF_INLINE-PUMP; TARA_20160820T2229Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160822T2300Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160823T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160824T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160825T2355Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160828T0013Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160828T1845Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160829T1944Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160830T1644Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160831T0515Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160831T1723Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160908T0615Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160909T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160910T1615Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160911T1802Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160912T1712Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160917T1520Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160917T2237Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160919T0110Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160919T1708Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160920T2340Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160921T0603Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160928T0751Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160929T0110Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160929T1905Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161001T1721Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161111T0102Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161111T1810Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161112T1810Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161118T0317Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161119T1921Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161120T1915Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161120T2155Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161127T0232Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161127T2023Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161128T0826Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20161130T0206Z_D_S-SRF_HANDHELD-BOW-POLE; TARA_20161201T0215Z_D_S-SRF_HANDHELD-BOW-POLE; TARA_20161203T1902Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161204T0303Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161204T1723Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161228T0551Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161228T2150Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161229T2310Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170103T0931Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20170103T2210Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170104T2118Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20170105T2251Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20170106T0955Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20170106T2245Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170112T0647Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170112T2125Z_D_I-SRF_HANDHELD-
    Type: Dataset
    Format: text/tab-separated-values, 14588 data points
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    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Temperature and salinity data collected using thermosalinograph [TSG] during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    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 the thermosalinograph [TSG] instrument 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. A thermosalinograph [TSG] (SeaBird Electronics SBE45/SBE38), measured temperature, conductivity, and thus salinity. Salinity measurements where intercalibrated against unfiltered seawater samples [SAL] taken every week from the surface ocean, and corrected for any observed bias. Moreover, temperature and salinity measurements were validated against Argo floats data collocated with Tara.
    Keywords: CTD, Sea-Bird, SBE45/SBE38; DATE/TIME; Fondation Tara Expeditions; FondTara; LATITUDE; LONGITUDE; Pacific Ocean; Salinity; SV Tara; TARA_2016-2018; Tara_Pacific; TARA_PACIFIC_2016-2018; Tara Pacific Expedition; Temperature; Temperature, water; UMS; Underway, multiple sensors
    Type: Dataset
    Format: text/tab-separated-values, 1770033 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Aerosol concentration and size distribution (0.25-32µm) measured with an optical particle counter at a 30min granularity during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Aerosol concentration and size distribution (0.25-32µm) measured with an optical particle counter during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    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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  • 9
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    Oxygen to Argon ratio measured with Equilibrator Inlet Mass Spectrometer [EIMS] during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    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 Equilibrator Inlet Mass Spectrometer [EIMS] (Pfeiffer Vacuum Quadrupole 1–100 amu) 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.
    Keywords: argon; DATE/TIME; Equilibrator Inlet Mass Spectrometry (EIMS); Fondation Tara Expeditions; FondTara; LATITUDE; LONGITUDE; Oxygen; Oxygen/Argon ratio; Pacific Ocean; 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, 146536 data points
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  • 10
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    Relative dissolved organic matter DOM fluorescence, using CDOM fluorometer [WSCD] (WETLabs) during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    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 CDOM fluorometer [WSCD] (WETLabs) 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 CDOM fluorometer [WSCD] (WETLabs), was added to the underway system to measure the fluorescence of colored dissolved organic matter [fdom].
    Keywords: CTD, Sea-Bird; measured with Thermosalinograph (TSG) sensor; DATE/TIME; DOM; Fluorescence, dissolved organic matter; Fluorescence, dissolved organic matter, standard deviation; Fondation Tara Expeditions; FondTara; LATITUDE; LONGITUDE; Number; Pacific Ocean; Salinity; SV Tara; TARA_2016-2018; Tara_Pacific; TARA_PACIFIC_2016-2018; Tara Pacific Expedition; Temperature, water; UMS; Underway, multiple sensors; WET Labs CDOM
    Type: Dataset
    Format: text/tab-separated-values, 2740189 data points
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