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In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :

Terrats L., Claustre H., Cornec M., Mangin A., Neukermans G. (2020).  Detection of Coccolithophore Blooms With BioGeoChemical‐Argo Floats. Geophysical Research Letters, 47(23), e2020GL090559 (10p.).  https://doi.org/10.1029/2020GL090559</gco:CharacterString>
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BGC-Argo float data cover the global ocean from November 2012 to December 2018 and include measurements of the particulate backscattering coefficient (BBP_float in m-1), the concentration of Chlorophyll-a (CHLA_float in mg m-3), and the particulate beam attenuation coefficient (CP_float in m-1) with data processing and quality control described in the manuscript entitled “Detection of coccolithophore blooms with BioGeoChemical-Argo floats” submitted to Geophysical Research Letters. The data represent near-surface ocean conditions, calculated as the average value in the top 15m of the water column.
Daily ocean-colour satellite data were downloaded from the GlobColour project (ftp://ftp.hermes.acri.fr) with a spatial resolution of 4km and matched with every BGC-Argo float observation by using a 5x5 pixel box and a 9-day temporal window. For each float observation, we extracted concurrent satellite data of the concentrations of Particulate Inorganic Carbon (PIC_sat in mmol m-3) and Particulate Organic Carbon (POC_sat in mmol m-3), from which we derived the proportion of PIC_sat to the total particulate carbon concentration (PIC_POC_sat in % and defined as PIC_sat / [PIC_sat+POC_sat]).
Coccolithophore bloom periods were identified using annual times series of PIC_sat and PIC_POC_sat at each profile location as described in the submitted manuscript, and the column “inside_coccolithophore_bloom” reports the float observations occurring inside such blooms.</gco:CharacterString>
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            <gco:CharacterString>This study is a contribution to the following projects: remOcean (European Research Council, Grant agreement 246777); REFINE (European Research Council, Grant agreement 834177); SOCLIM (BNP Foundation); BGC-Argo-France (CNES-TOSCA); CarbOcean (European Research Council, Grant agreement 853516). Griet Neukermans was supported by a European Union Horizon 2020 Marie Sklodowska-Curie grant (no. 749949). Louis Terrats was supported by a CIFRE fellowship funded by ACRI-st (no. 2018/1815). All BGC-Argo data are available at ftp://ftp.ifremer.fr/ifremer/argo/dac/. These data were collected and made freely available by the International Argo Program and the national programs that contribute to it (http://www.argo.ucsd.edu, http://argo.jcommops.org). The Argo Program is part of the Global Ocean Observing System. We thank A. Poteau, R. Sauzede, and C. Schmechtig for BGC-Argo data management and L. Beaufort, N. Briggs, and H. Loisel for fruitful discussions. Authors declare no conflict of interest.</gco:CharacterString>
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