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  • Open Access
    Authors: 
    Elleboode, Romain; Mahe, Kelig;
    Publisher: SEANOE

    Le logiciel TNPC (Traitement Numérique des Pièces Calcifiées, www.tnpc.fr) permet de réaliser des acquisitions d’images à partir de microscopes, loupes binoculaires, scanners ou tout autre système d’observation combiné à une caméra numérique. Il a été développé par l’institut Ifremer (initialement par le LASAA, laboratoire de Sclérochronologie des Animaux Aquatiques) depuis une trentaine années en partenariat avec la société VSG (Visualization Sciences Group) pour répondre spécifiquement aux besoins en Sclérochronologie, c’est à dire l’interprétation des pièces calcifiées (otolithes, écailles, vertèbres, coquille, illicium, statolithes…). Ainsi, en plus des acquisitions, il permet d’utiliser de nombreuses fonctions en particulier, l’interprétation d’images individuelles ou en base de données et de travailler sur les mesures, analyses de forme … Cette vidéo présente spécifiquement le tutoriel pour la fonction du logiciel TNPC : Utilisation du logiciel TNPC (Traitement Numérique des Pièces Calcifiées) : Réaliser des analyses de formes individuelles. Elle aborde différents points: - sélection de la méthode permettant d’identifier la forme, - choix et sélection d’un groupe de mesures, - extraction des données ainsi mesurées.

  • Open Access
    Authors: 
    De Lavergne, Casimir; Falahat, Saeed; Madec, Gurvan; Roquet, Fabien; Nycander, Jonas; Vic, Clément;
    Publisher: SEANOE

    The dataset consists of global two-dimensional maps of internal tide energy sources and sinks, at half-degree horizontal resolution. Estimated energy sources are provided for the three most energetic tidal constituents: M2, S2 and K1. They are decomposed into vertical normal modes. Units are Watts per square meter. Estimated energy sinks are provided for each of M2, S2 and K1 and for 'All constituents'. 'All constituents' is an extrapolation to the eight most energetic tidal constituents, obtained as a weighted sum of M2, S2 and K1 fields. Energy sinks are depth-integrated and decomposed into five process contributions: (i) local dissipation of high modes; (ii) dissipation of low modes via wave-wave interactions; (iii) dissipation of low modes via scattering by abyssal hills; (iv) dissipation of low modes via critical reflection; (v) dissipation of low modes via shoaling. Units are Watts per square meter. Methods and documentation can be found in the following publication: de Lavergne, C., Falahat, S., Madec, G., Roquet, F., Nycander, J., Vic, C. Toward global maps of internal tide energy sinks. Ocean Modelling, 137, 52-75 (2019). doi:10.1016/j.ocemod.2019.03.010. Provided maps of energy sinks correspond to the reference (REF) experiment described in the article.

  • Open Access
    Authors: 
    Oelsmann, Julius; Passaro, Marcello; Sanchez, Laura; Dettmering, Denise; Schwatke, Christian; Seitz, Florian;
    Publisher: SEANOE

    This dataset contains estimates of piecewise trends and discontinuities in vertical land motion (VLM) time series. The time series are based on two techniques, the Global Navigation Satellite System (GNSS) and differences of satellite altimetry and tide gauge measurements (SATTG). SATTG data are based on monthly PSMSL tide gauge observations (Permanent Service for Mean Sea Level, Holgate et al. [2013]) and multi-mission satellite altimetry from DGFI-TUM. The coastal along-track altimetry SLA data feature latest corrections and adjustments, as well as coastal retracking (using the ALES retracker (Passaro et al., 2014)). The GNSS time series are obtained from the Nevada Geodetic Laboratory (NGL) of the University of Nevada (Blewitt et al. [2016], http://geodesy.unr.edu). This dataset contains information of piecewise trends, uncertainties, as well as discontinuity epochs and sizes in 606 SATTG and 381 GNSS time series. These parameters are estimated with a Bayesian change point detection method (DiscoTimeS), as described in ‘Bayesian modelling of piecewise trends and discontinuities to improve the estimation of coastal vertical land motion’.

  • Open Access
    Authors: 
    Kolodziejczyk, Nicolas; Prigent-Mazella, Annaig; 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. The ISAS-SSS configuration provide Sea Surface Salinity gridded fields from in-situ measurements including Argo, Moorings, Marine Mammals, GOSUD Thermosalinometer SSS measurements from delayed mode SNO-SSS merchant ships (http://www.legos.obs-mip.fr/observations/sss), French research vessels (http://doi.org/10.17882/39475) and sails (http://doi.org/10.17882/39476). A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis. The ISAS-SSS fields appears as highly valuable for the "calibration and validation" of the new satellite observations delivered by SMOS, Aquarius and SMAP.

  • Open Access
    Authors: 
    Terhaar, Jens; Tanhua, Toste; Stöven, Tim; Orr, James C; Bopp, Laurent;
    Publisher: SEANOE
    Project: EC | COMFORT (820989)

    This dataset provides simulated monthly averaged ocean temperature, salinity, CFC-12, and anthropogenic carbon in August 2005 from NEMO simulations with the ORCA2 and ORCA025 configurations. Anthropogenic carbon was calculated using the perturbation approach by Sarmiento et al. [1992]. For ORCA2, simulated CFC-12 and anthropogenic carbon is also provided for August 2100.

  • Open Access
    Authors: 
    Sarradin, Pierre-Marie; Legrand, Julien; Moreau, Bertrand; Lanteri, Nadine; Cannat, Mathilde;
    Publisher: SEANOE
    Project: EC | EMSODEV (676555)

    This dataset contains conductivity, temperature and pressure data acquired between July 2017 and August 2018 on EMSO-Azores observatory by the EGIM. These are 3 of the 7 core parameters monitored by the EGIM, EMSO Generic Instrumental Module. The EGIM prototype was deployed at Lucky Strike hydrothermal vent site, 25 m south west of the active edifice Tour Eiffel, to monitor local hydrodynamic variability and complement the data obtained by the numerous sensors set on this site: oceanographic mooring deployed south of the vent field, the multidisciplinary Seamon East node, autonomous current meters, array of temperature probes…

  • 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: 
    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: 
    Ragauskas, Adomas; Butkauskas, Dalius; Marco L. Bianchini;

    A total of 394 mtDNA cyt b sequences that were used for the intraspecific genetic analysis of the European eel (doi:10.1051/alr/2017021). Newly obtained sequences of different haplotypes and previously determined sequences are deposited in the GenBank under AB021776, AF006714–AF006715, AF165069, AF368238–AF368254, AP007233, D84302, EF427617–EF427618, EU223996–EU223997, EU492326–EU492327, KJ564218–KJ564270 and KT633956–KT633987 accession numbers. The files are created by the created for MEGA6 program (http://www.megasoftware.net/older_versions). 

  • 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.

Advanced search in
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arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
1,073 Research products, page 1 of 108
  • Open Access
    Authors: 
    Elleboode, Romain; Mahe, Kelig;
    Publisher: SEANOE

    Le logiciel TNPC (Traitement Numérique des Pièces Calcifiées, www.tnpc.fr) permet de réaliser des acquisitions d’images à partir de microscopes, loupes binoculaires, scanners ou tout autre système d’observation combiné à une caméra numérique. Il a été développé par l’institut Ifremer (initialement par le LASAA, laboratoire de Sclérochronologie des Animaux Aquatiques) depuis une trentaine années en partenariat avec la société VSG (Visualization Sciences Group) pour répondre spécifiquement aux besoins en Sclérochronologie, c’est à dire l’interprétation des pièces calcifiées (otolithes, écailles, vertèbres, coquille, illicium, statolithes…). Ainsi, en plus des acquisitions, il permet d’utiliser de nombreuses fonctions en particulier, l’interprétation d’images individuelles ou en base de données et de travailler sur les mesures, analyses de forme … Cette vidéo présente spécifiquement le tutoriel pour la fonction du logiciel TNPC : Utilisation du logiciel TNPC (Traitement Numérique des Pièces Calcifiées) : Réaliser des analyses de formes individuelles. Elle aborde différents points: - sélection de la méthode permettant d’identifier la forme, - choix et sélection d’un groupe de mesures, - extraction des données ainsi mesurées.

  • Open Access
    Authors: 
    De Lavergne, Casimir; Falahat, Saeed; Madec, Gurvan; Roquet, Fabien; Nycander, Jonas; Vic, Clément;
    Publisher: SEANOE

    The dataset consists of global two-dimensional maps of internal tide energy sources and sinks, at half-degree horizontal resolution. Estimated energy sources are provided for the three most energetic tidal constituents: M2, S2 and K1. They are decomposed into vertical normal modes. Units are Watts per square meter. Estimated energy sinks are provided for each of M2, S2 and K1 and for 'All constituents'. 'All constituents' is an extrapolation to the eight most energetic tidal constituents, obtained as a weighted sum of M2, S2 and K1 fields. Energy sinks are depth-integrated and decomposed into five process contributions: (i) local dissipation of high modes; (ii) dissipation of low modes via wave-wave interactions; (iii) dissipation of low modes via scattering by abyssal hills; (iv) dissipation of low modes via critical reflection; (v) dissipation of low modes via shoaling. Units are Watts per square meter. Methods and documentation can be found in the following publication: de Lavergne, C., Falahat, S., Madec, G., Roquet, F., Nycander, J., Vic, C. Toward global maps of internal tide energy sinks. Ocean Modelling, 137, 52-75 (2019). doi:10.1016/j.ocemod.2019.03.010. Provided maps of energy sinks correspond to the reference (REF) experiment described in the article.

  • Open Access
    Authors: 
    Oelsmann, Julius; Passaro, Marcello; Sanchez, Laura; Dettmering, Denise; Schwatke, Christian; Seitz, Florian;
    Publisher: SEANOE

    This dataset contains estimates of piecewise trends and discontinuities in vertical land motion (VLM) time series. The time series are based on two techniques, the Global Navigation Satellite System (GNSS) and differences of satellite altimetry and tide gauge measurements (SATTG). SATTG data are based on monthly PSMSL tide gauge observations (Permanent Service for Mean Sea Level, Holgate et al. [2013]) and multi-mission satellite altimetry from DGFI-TUM. The coastal along-track altimetry SLA data feature latest corrections and adjustments, as well as coastal retracking (using the ALES retracker (Passaro et al., 2014)). The GNSS time series are obtained from the Nevada Geodetic Laboratory (NGL) of the University of Nevada (Blewitt et al. [2016], http://geodesy.unr.edu). This dataset contains information of piecewise trends, uncertainties, as well as discontinuity epochs and sizes in 606 SATTG and 381 GNSS time series. These parameters are estimated with a Bayesian change point detection method (DiscoTimeS), as described in ‘Bayesian modelling of piecewise trends and discontinuities to improve the estimation of coastal vertical land motion’.

  • Open Access
    Authors: 
    Kolodziejczyk, Nicolas; Prigent-Mazella, Annaig; 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. The ISAS-SSS configuration provide Sea Surface Salinity gridded fields from in-situ measurements including Argo, Moorings, Marine Mammals, GOSUD Thermosalinometer SSS measurements from delayed mode SNO-SSS merchant ships (http://www.legos.obs-mip.fr/observations/sss), French research vessels (http://doi.org/10.17882/39475) and sails (http://doi.org/10.17882/39476). A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis. The ISAS-SSS fields appears as highly valuable for the "calibration and validation" of the new satellite observations delivered by SMOS, Aquarius and SMAP.

  • Open Access
    Authors: 
    Terhaar, Jens; Tanhua, Toste; Stöven, Tim; Orr, James C; Bopp, Laurent;
    Publisher: SEANOE
    Project: EC | COMFORT (820989)

    This dataset provides simulated monthly averaged ocean temperature, salinity, CFC-12, and anthropogenic carbon in August 2005 from NEMO simulations with the ORCA2 and ORCA025 configurations. Anthropogenic carbon was calculated using the perturbation approach by Sarmiento et al. [1992]. For ORCA2, simulated CFC-12 and anthropogenic carbon is also provided for August 2100.

  • Open Access
    Authors: 
    Sarradin, Pierre-Marie; Legrand, Julien; Moreau, Bertrand; Lanteri, Nadine; Cannat, Mathilde;
    Publisher: SEANOE
    Project: EC | EMSODEV (676555)

    This dataset contains conductivity, temperature and pressure data acquired between July 2017 and August 2018 on EMSO-Azores observatory by the EGIM. These are 3 of the 7 core parameters monitored by the EGIM, EMSO Generic Instrumental Module. The EGIM prototype was deployed at Lucky Strike hydrothermal vent site, 25 m south west of the active edifice Tour Eiffel, to monitor local hydrodynamic variability and complement the data obtained by the numerous sensors set on this site: oceanographic mooring deployed south of the vent field, the multidisciplinary Seamon East node, autonomous current meters, array of temperature probes…

  • 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: 
    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: 
    Ragauskas, Adomas; Butkauskas, Dalius; Marco L. Bianchini;

    A total of 394 mtDNA cyt b sequences that were used for the intraspecific genetic analysis of the European eel (doi:10.1051/alr/2017021). Newly obtained sequences of different haplotypes and previously determined sequences are deposited in the GenBank under AB021776, AF006714–AF006715, AF165069, AF368238–AF368254, AP007233, D84302, EF427617–EF427618, EU223996–EU223997, EU492326–EU492327, KJ564218–KJ564270 and KT633956–KT633987 accession numbers. The files are created by the created for MEGA6 program (http://www.megasoftware.net/older_versions). 

  • 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.

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