Phytoplankton pigment concentrations and phytoplankton groups measured on water samples collected from various expeditions in the Atlantic Ocean from 71°S to 84°N

DOI

This data set composes a large amount of quality controlled in situ measurements of major pigments based on HPLC collected from various expeditions across the Atlantic Ocean spanning from 71°S to 84°N, including 11 expeditions with RV Polarstern from the North Atlantic to the Arctic Fram Strait: PS74, PSS76, PS78, PS80, PS85, PS93.2 (https://doi.org/10.1594/PANGAEA.894872), PS99.1 (https://doi.org/10.1594/PANGAEA.905502), PS99.2 ( https://doi.org/10.1594/PANGAEA.894874), PS106 (https://doi.org/10.1594/PANGAEA.899284), PS107 (https://doi.org/10.1594/PANGAEA.894860), PS121 (https://doi.org/10.1594/PANGAEA.941011), four expeditions (two with RV Polarstern and two Atlantic Meridional Transect expeditions with RRS James Clark Ross and RRS Discovery) in the trans-Atlantic Ocean: PS113 ( https://doi.org/10.1594/PANGAEA.911061), PS120, AMT28 and AMT29, and one expedition with RV Polarstern in the Southern Ocean: PS103 (https://doi.org/10.1594/PANGAEA.898941). Chlorophyll a concentration (Chl-a) of six phytoplankton functions groups (PFTs) derived from these pigments have been also included. This published data set has contributed to validate satellite PFT products available on the EU funded Copernicus Marine Service (CMEMS, https://marine.copernicus.eu/), which are derived from multi-sensor ocean colour reflectance data and sea surface temperature using an empirical orthogonal function based approach (Xi et al. 2020; 2021).Description on in situ PFT Chl-a determination from pigment data: PFT Chl-a in this data set were derived using an updated diagnostic pigment analysis (DPA) method (Soppa et al., 2014; Losa et al., 2017) with retuned coefficients by Alvarado et al (2021), that was originally developed by Vidussi et al. (2001), adapted in Uitz et al. (2006) and further refined by Hirata et al. (2011) and Brewin et al. (2015). The values of retuned DPA weighting coefficients for PFT Chl-a determination are: 1.56 for fucoxanthin, 1.53 for peridinin, 0.89 for 19'-hexanoyloxyfucoxanthin, 0.44 for 19'-butanoyloxyfucoxanthin, 1.94 for alloxanthin, 2.63 for total chlorophyll b, and 0.99 for zeaxanthin. The coefficient retuning was based on an updated global HPLC pigment data base for the open ocean (water depth >200 m), which was compiled based on the previously published data sets spanning from 1988 to 2012 described in Losa et al. (2017), with updates in Xi et al. (2021) and Álvarez et al. (2022), by adding other newly available HPLC pigment data collected between 2012 and 2018 mainly from SeaBASS (https://seabass.gsfc.nasa.gov/), PANGAEA, British Oceanographic Data Centre (BODC, https://www.bodc.ac.uk/), and Australian Open Access to Ocean Data (AODN, https://portal.aodn.org.au/) (as of February 2020, see Table 1 attached in the 'Additional metadata' for more details on the data sources).

Identifier
DOI https://doi.org/10.1594/PANGAEA.954738
Related Identifier https://doi.org/10.5194/sp-1-osr7-5-2023
Related Identifier https://doi.org/10.1594/PANGAEA.898920
Related Identifier https://doi.org/10.1594/PANGAEA.898941
Related Identifier https://doi.org/10.1594/PANGAEA.898929
Related Identifier https://doi.org/10.1594/PANGAEA.899043
Related Identifier https://doi.org/10.1594/PANGAEA.911061
Related Identifier https://doi.org/10.1594/PANGAEA.819108
Related Identifier https://doi.org/10.1594/PANGAEA.871872
Related Identifier https://doi.org/10.1594/PANGAEA.864786
Related Identifier https://doi.org/10.1594/PANGAEA.894872
Related Identifier https://doi.org/10.1594/PANGAEA.894860
Related Identifier https://doi.org/10.1594/PANGAEA.905502
Related Identifier https://doi.org/10.1111/phor.7_12405
Related Identifier https://doi.org/10.1029/2022MS003126
Related Identifier https://doi.org/10.1016/j.rse.2015.07.004
Related Identifier https://doi.org/10.5194/bg-8-311-2011
Related Identifier https://doi.org/10.3389/fmars.2017.00203
Related Identifier https://doi.org/10.3390/rs61010089
Related Identifier https://doi.org/10.1029/2005JC003207
Related Identifier https://doi.org/10.1029/1999JC000308
Related Identifier https://doi.org/10.1029/2020JC017127
Related Identifier https://doi.org/10.1016/j.rse.2020.111704
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.954738
Provenance
Creator Xi, Hongyan ORCID logo; Peeken, Ilka ORCID logo; Gomes, Mara; Brotas, Vanda ORCID logo; Tilstone, Gavin H; Brewin, Robert J W ORCID logo; Dall'Olmo, Giorgio ORCID logo; Tracana, Andreia ORCID logo; Alvarado, Leonardo M A ORCID logo; Murawski, Sandra; Wiegmann, Sonja; Bracher, Astrid ORCID logo
Publisher PANGAEA
Publication Year 2023
Funding Reference European Commission https://doi.org/10.13039/501100000780 Crossref Funder ID 21036L05B-COP-INNO SCI-9000 ; European Space Agency https://doi.org/10.13039/501100000844 Crossref Funder ID 4000127533/19/I-NS-S5P+I-OC Exploitation of Sentinel-5-P for Ocean Colour Products; German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 268020496 https://gepris.dfg.de/gepris/projekt/268020496 TRR 172: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms; Horizon 2020 https://doi.org/10.13039/501100007601 Crossref Funder ID 810139 https://doi.org/10.3030/810139 PORTWIMS
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 37522 data points
Discipline Acoustics; Engineering Sciences; Mechanical and industrial Engineering; Mechanics and Constructive Mechanical Engineering
Spatial Coverage (-60.712W, -71.365S, 34.040E, 83.661N); North Greenland Sea; Norwegian Sea; South Atlantic Ocean; Lazarev Sea; Weddell Sea; Arctic Ocean; Barents Sea; Canarias Sea; North Sea
Temporal Coverage Begin 2009-06-22T18:58:00Z
Temporal Coverage End 2019-11-22T08:52:00Z