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  • Open Access
    Authors: 
    Waterisotopes-CISE-LOCEAN;
    Publisher: SEANOE
    Project: EC | TRIATLAS (817578)

    LOCEAN has been in charge of collecting sea water for the analysis of water isotopes on a series of cruises or ships of opportunity mostly in the equatorial Atlantic, in the North Atlantic, in the southern Indian Ocean, in the southern Seas, Nordic Seas, and in the Arctic. The LOCEAN data set of the oxygen and hydrogen isotope (δ18O and δD) of marine water covers the period 1998 to 2019, but the effort is ongoing. Most data prior to 2010 (only δ18O) were analyzed using isotope ratio mass spectrometry (Isoprime IRMS) coupled with a Multiprep system (dual inlet method), whereas most data since 2010 (and a few earlier data) were obtained by cavity ring down spectrometry (CRDS) on a Picarro CRDS L2130-I, or less commonly on a Picarro CRDS L2120-I. Occasionally, some data were also run by Marion Benetti on an Isoprime IRMS coupled to a GasBench (dual inlet method) at the university of Iceland (Reykjavik). On the LOCEAN Picarro CRDS, most samples were initially analyzed after distillation, but since 2016, they have often been analyzed using a wire mesh to limit the spreading of sea salt in the vaporizer. Some of the samples on the CRDS were analyzed more than once on different days, when repeatability for the same sample was not sufficient or the daily run presented a too large drift. Accuracy is best when samples are distilled, and for δD are better on the Picarro CRDS L2130-I than on the Picarro CRDS L2120-I. Usually, we found that the reproducibility of the δ18O measurements is within ± 0.05 ‰ and of the δD measurements within ± 0.30 ‰, which should be considered an upper estimate of the error on the measurement on a Picarro CRDS. The water samples were kept in darkened glass bottles (20 to 50 ml) with special caps, and were often (but not always) taped afterwards. Once brought back in Paris, the samples were often stored in a cold room (with temperature close to 4°C), in particular if they were not analyzed within the next three months. There is however the possibility that some samples have breathed during storage. We found it happening on a number of samples, more commonly when they were stored for more than 5 years before being analyzed. We also used during one cruise bottles with not well-sealed caps (M/V Nuka Arctica in April 2019), which were analyzed within 3 months, but for which close to one third of the samples had breathed. We have retained those analyses, but added a flag ‘3’ meaning probably bad, at least on d-excess (outside of regions where sea ice forms or melts, for the analyses done on the Picarro CRDS, excessive evaporation is usually found with a d-excess criterium (which tends to be too low); for the IRMS analyses, it is mostly based when excessive scatter is found in the S- δ18O scatter plots or between successive data, in which case some outliers were flagged at ‘3’). In some cases when breathing happened, we found that d-excess can be used to produce a corrected estimate of δ18O and δD (Benetti et al., 2016). When this method was used a flag ‘1’ is added, indicating ‘probably good’ data, and should be thought as not as accurate as the data with no ‘correction’, which are flagged ‘2’ or ‘0’. We have adjusted data to be on an absolute scale based on the study of Benetti et al. (2017), and on further tests with the different wire meshes used more recently. We have also checked the consistency of the runs in time, as there could have been changes in the internal standards used. On the Isoprime IRMS, it was mostly done using different batches of ‘Eau de Paris’ (EDP), whereas on the Picarro CRDS, we used three internal standards kept in metal tanks with a slight overpressure of dry air). The internal standards have been calibrated using VSMOW and GISP, and were also sent to other laboratories to evaluate whether they had drifted since the date of creation (as individual sub-standards have typically stored for more than 5-years). These comparisons are still not fully statisfactory to evaluate possible drifts in the sub-standards. Individual files correspond to regional subsets of the whole dataset. The file names are based on two letters for the region (see below) followed by –Wisotopes and a version number (-V0, …): example SO-Wisotopes-V0; the highest version number corresponds to the latest update of the regional data set. The region two letters are the followings: - SO: Southern Ocean including cruise station and surface data mostly from 2017 in the Weddell Sea (WAPITI Cruise JR160004, DOI:10.17882/54012), as well as in the southern Ocean - SI: OISO cruise station and surface data in the southern Indian Ocean (since 1998) (DOI:10.18142/228) - EA: Equatorial Atlantic cruise station and surface data (2005 to 2020), in particular from French PIRATA (DOI:10.18142/14) and EGEE cruises (DOI:10.18142/95) - NA: North Atlantic station and surface data from Oceanographic cruises as well as from ships of opportunity (this includes in particular OVIDE cruise data since 2002 (DOI:10.17882/46448), CATARINA, BOCATS1 and BOCATS2 (PID2019-104279GB-C21/AEI/10.13039/501100011033) cruises funded by the Spanish Research Agency, RREX2017 2017 cruise data (DOI:10.17600/17001400), SURATLANT data set since 2011 (DOI:10.17882/54517), Nuka Arctica data since 2012, STRASSE (DOI:10.17600/12040060) and MIDAS cruise data in 2012-2013, as well as surface data from various ships of opportunity in 2012-2020) - NS: Nordic Sea data from cruises in 2002-2018 - AS: Arctic data from two Tara cruises (in 2006-2008 and 2013) - PM: miscellaneous data in tropical Pacific and Mediterranean Sea The files are in csv format reported, and starting with version V1, it is reported as: - Cruise name, station id, bottle number, day, month, year, hour, minute, latitude, longitude, pressure (db), temperature (°C), it, salinity (pss-78), is, dissolved oxygen (micromol/kg), io2, δ18O, iO, d D, iD, d-excess, id, method type - Temperature is an in situ temperature - Salinity is a practical salinity it, is, io2, iO, iD, id are quality indices equal to: - 0 no quality check (but presumably good data) - 1 probably good data - 2 good data - 3 probably bad data - 4 certainly bad data - 9 missing data (and the missing data are reported with an unlikely missing value) The method type is 1 for IRMS measurements, 2 for CRDS measurement of a saline water sample, 3 for CRDS measurement of a distilled water sample.

  • Open Access
    Authors: 
    Kilcoyne, Jane; McCarron, Pearse; Hess, Philipp; Miles, Christopher O.;
    Publisher: SEANOE

    This dataset is composed by the supporting information of Kilcoyne Jane, Mccarron Pearse, Hess Philipp, Miles Christopher O. (2015). Effects of Heating on Proportions of Azaspiracids 1–10 in Mussels ( Mytilus edulis ) and Identification of Carboxylated Precursors for Azaspiracids 5, 10, 13, and 15. Journal of Agricultural and Food Chemistry, 63(51), 10980-10987. http://dx.doi.org/10.1021/acs.jafc.5b04609

  • Open Access
    Authors: 
    Alonso-Rodríguez, Rosalba;
    Publisher: Seanoe

    A 35-year record of algal blooms in Mazatlan Bay is reviewed in order to register bloom-forming species, their seasonal presence, duration, degree of toxicity and environmental impact. 202 algal blooms have been recorded and 25 dominant species identified: 6 toxic, 5 harmful and 14 harmless species. A harmless species, Myrionecta rubra, tended to decrease in frequency, while toxic species Gymnodinium catenatum and Cochlodinium polykrikoides show a clear trend towards an increase in frequency. The discoloration days attributable to blooms are highly variable in each year, but a decadal analysis revealed a tendency to increase, except in the last half decade. The monthly distribution of algal blooms for decades show two peaks of high frequency, the larger from February to May and the smaller from September to November. The duration of blooms varies from a few days to more than three months; the ephemeral are most frequent, but in the last decade the frequency of the longer-lasting blooms has increased. An absence of blooms in 1983-4 and 1992-3 coincided with strong El Niño events, but this pattern was not consistent in subsequent El Niño years. Years with more or less discolorations days appear to be associated with cold or warm phases of the Pacific Decadal Oscillation.

  • Open Access
    Authors: 
    Fort, Alain; Jalón-Rojas, Isabel; Hanquiez, Vincent; Sottolichio, Aldo; Schmidt, Sabine;
    Publisher: SEANOE

    Times series of water level at four stations of the Gironde Estuary (Pointe de Grave, Le Marquis, Bordeaux and Cadillac) for the the years 1953, 1971, 1982, 1994, 2005 and 2014. The dataset includes all of the time seris used in the publication: To what extent multidecadal changes in morphology and fluvial discharge impact tide in a convergent (turbid) tidal river (2018), Journal of Geophysical Research: Oceans.

  • Open Access
    Authors: 
    Kalaydjian, Regis; Girard, Sophie;
    Publisher: SEANOE

    Marine research covers several specialities, most often developed within international programmes, in keeping with the scale of the problems for ocean and environmental status. The activity involves a small number of public organisations, some of which work in several fields. - Ifremer, university and CNRS (National Centre for Scientific Research) oceanography laboratories, the SHOM French Navy hydrographic and oceanographic service, the IRD Research Institute for Development and the IPEV Paul-Emile-Victor Polar Research Institute are the main scientific organisations in public-sector ocean and marine research. - Earth-observation satellites provide an additional spatial component for oceanographic research. They are financed by CNES National Centre for Space Studies, generally in the framework of bilateral or multilateral co-operation. - The other principal research bodies involved in ocean studies are: Météo-France (French Meteorological office), INRA (National Agronomy Research Institute), CIRAD Agricultural Research Centre for Development, BRGM Office for Geological and Mining Research. - Genavir, economic interest group, operates a large part of the ocean research fleet on its own and other partners' behalf, including the research vessels of Ifremer and IRD and the submarine equipment of Ifremer. The assessment of marine research effort requires a detailed assessment of the staff working on marine science in research organisations. Most of these are not exclusively dedicated to marine science; estimates are thus necessary to value staff costs. Data source: marine research organisations

  • Open Access
    Authors: 
    Ballu, Valérie; Cannat, Mathilde; Wheeler, Benjamin; Legrand, Julien; Sarradin, Pierre-Marie;
    Publisher: SEANOE

    This dataset contains seafloor pressure data acquired in the framework of EMSO-Azores observatory between June 2019 and September 2020 using SBE53 pressure gauges deployed on two sites. West site : The sensor was deployed on an existing benchmark installed with the submersible Nautile in August 2006 during the GRAVILUCK cruise (https://doi.org/10.17600/6010110). The benchmark sits on hard substratum with light hydrothermal sedimentation, on the North-West border of the Lucky Strike lava lake, next to a hydrothermal site. East site : The sensor was deployed on an existing benchmark installed by freefall in July 2007 during the MOMARDREAM cruise (https://doi.org/10.17600/7030060). The benchmark sits in the axial valley, East of the LuckyStrike volcano in a lightly sedimented area, with apparent pillow lavas. Instrument location bathymetric map

  • Open Access
    Authors: 
    Träsch, Martin; Gaurier, Benoit; Germain, Gregory;
    Publisher: SEANOE

    The tidal energy converter studied here is based on the fluid-structure interactions that occur between a flexible membrane and an axial flow, resulting in an undulating motion that can be used to harvest energy. Its wake is experimentally characterized from two-dimensional Particle Image Velocimetry (PIV) measurements. PIV is synchronized with a motion tracking system that gives information on trajectory and power conversion. Wake measurement gives access to velocity deficit, turbulence intensity and vorticity. Three configurations are tested in order to identify the influence of the main adjustment parameters.

  • Open Access
    Authors: 
    Chaalali, Aurelie; Brind'Amour, Anik; Dubois, Stanislas; Le Bris, Hervé;
    Publisher: SEANOE

    The shared data are (i) sizes (in cm) and densities (indiv.per1000m²) of juvenile fish and (ii) isotopic data (deltaC and deltaN) for macro- and mega-invertebrates, juvenile fish, and organic matter sources. These data are for 3 habitats (i.e. Sternaspis scutata, Amphiura filiformis/Owenia fusiformis, and Haploops nirae habitats, respectively coded as Code.Habitat 1, 2, and 3) in two coastal bays of South Brittany; the Bay of Concarneau (Code.Bay 1) and the Bay of Vilaine (Code.Bay 2). See the map attached to the dataset for more details.

  • Open Access
    Authors: 
    Gaillard, Fabienne;
    Publisher: SEANOE

    A new version of the ISAS product is available at : https://doi.org/10.17882/52367 The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. Since the first global re-analysis performed in 2009, the system has been extended to accommodate all types of vertical profile as well as time series. ISAS gridded fields are entirely based on in-situ measurements. The system aims at monitoring the time evolution of ocean properties for climatological studies and allowing easy computation of climate indices. A careful delayed mode processing of the 2002-2012 dataset has been carried out using version 6 of ISAS and updating the statistics to produce the ISAS-13 analysis. Note that ISAS-V6 is implemented as the operational analysis tool at the Coriolis data centre since June 2014.

  • Open Access
    Authors: 
    Kolodziejczyk, Nicolas; Prigent-Mazella, Annaig; Gaillard, Fabienne;
    Publisher: SEANOE

    The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. ISAS is based on Optimal Interpolation method. Since the first global re-analysis performed in 2009, the system has been extended to accommodate all types of vertical profile as well as time series. ISAS gridded fields are entirely based on in-situ measurements. The system aims at monitoring the time evolution of ocean properties for climatic studies and allowing easy computation of climate indices. Delayed Mode (D) profiles are used a much as possible and extra visual check is carried out. The ISAS procedure and products are described in Gaillard et al. (2016). The present DOI provides both analyzed fields and standardized profiles data used in interpolation HISTORY ISAS20_ARGO: The ISAS20_ARGO release is interpolated on 187 standard depth levels between 0-5500 m depth and 0.5°x0.5° global horizontal grid. ISAS20 use the version 8 of ISAS and updated statistics to produce the monthly analysis (Monthly Climatology and annual STD computed from WOA18A5B7). ISAS20 gridded fields analyze the Argo and Deep-Argo temperature and salinity data alone between 2002-2020. ISAS17: The ISAS17 release is interpolated on 187 standard depth levels between 0-5500 m depth and 0.5°x0.5° global horizontal grid. ISAS17 use the version 8 of ISAS and updated statistics to produce the monthly analysis (Monthly Climatology and annual STD computed from WOA18A5D). ISAS17 gridded fields analyze the Argo and Deep-Argo temperature and salinity profiles, and other in situ measurements between 2002-2017 to complete observations, including the higher latitudes (typically poleward of 60°S-N) where Argo sampling is sparse or not existent. ISAS-SSS : The ISAS-SSS release is interpolated on 4 standard depth levels (1-3-5-10m depth) and 0.5°x0.5° global horizontal grid between 2002-2015. ISAS-SSS use the version 7 of ISAS and updated the statistics to produce the monthly analyses (Monthly Climatology computed from ISAS13 and annual STD computed from Argo dataset). ISAS-SSS gridded fields analyze the Argo and other in situ salinity data, including TSG from research and ship of opportunity from French SNO-SSS. ISAS15 : The ISAS15 release is interpolated on 152 standard depth levels between 0-2000 m depth and 0.5°x0.5° global horizontal grid between 2002-2015. ISAS15 use the version 7 of ISAS and updated statistics to produce the monthly analysis (Monthly Climatology computed from ISAS13 and annual STD computed from Argo dataset). ISAS15 gridded fields analyze the Argo temperature and salinity data alone in its ISAS15_ARGO configuration; or Argo plus other in situ measurements in its ISAS15 configuration. ISAS13 : The ISAS13 release is interpolated on 152 standard depth levels between 0-2000 m depth and 0.5°x0.5° global horizontal grid between 2002-2012. ISAS13 use the version 6 of ISAS and updated statistics to produce the monthly analysis (Monthly Climatology computed from ISAS11 and annual STD computed from Argo dataset). ISAS13 gridded fields analyze the Argo temperature and salinity data and other in situ measurements between 2002-2012. For detailed information and description of the ISAS products please visit the dedicated Argo France web page: https://www.argo-france.fr/Argo-Data-Products/Argo-France-products

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