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Full text: A compilation of global bio-optical in situ data for ocean-colour satellite applications

A. Valente et al.: A compilation of global bio-optical in situ data 
5765 
Table B1. Example of what the compiled data looks like. It shows the result when the compilation is queried for chlorophyll data from 
subdataset “seabass_car81”. 
idx time lat lon chla_fluor chla_fluor_dataset chla_fluor_subdataset chla_fluor_contributor 
30266 2002-08-06 T09:02:00Z 10.5 —64.67 0.185 seabass seabass car81 Frank Muller-Karger 
Note on former version. A former version of this arti- 
cle was published on 15 July 2019 and is available at 
https://doi.0rg/10.5194/essd-11-1037-2019. 
Supplement. The supplement related to this article is available 
online at: https://doi.org/10.5194/essd-14-5737-2022-supplement. 
Author contributions. AV complied the database, carried out the 
integration and quality checking, and drafted the paper. The first 
eight authors are part of the ESA OC-CCI team and contributed 
to the design of the compilation, to the quality checking, and con- 
cributed data. The remaining authors are listed alphabetically and 
are data contributors (see their respective data set on Table 2) or 
individuals responsible for the development of a particular data set 
(e.g. JW for NOMAD and KB for MERMAID). All data contrib- 
ators (listed in Table 2) were contacted for authorization of data 
publishing and offered co-authorship. In the case of the ICES data 
set, the permission for publishing was given by the ICES team. All 
the authors have critically reviewed the paper. 
Competing interests. The contact author has declared that none 
of the authors has any competing interests. 
Disclaimer. Publisher’s note: Copernicus Publications remains 
neutral with regard to jJurisdictional claims in published maps and 
institutional affıliations. 
Acknowledgements. This paper acknowledges funding from the 
ESA OC-CCI project (grant number 4000101437/10/I-LG), the EU- 
METSAT “Multi-mission Ocean Colour Algorithm Prototyping” 
‘OMAPS), and the European Union’s Horizon 2020 research and 
nnovation programme under grant agreement 810139: Project Por- 
‚ugal Twinning for Innovation and Excellence in Marine Science 
and Earth Observation — PORTWIMS. This work is also a contri- 
yution to project PEst-OE/MAR/UI0199/2014. We would like to 
'hank the efforts of the teams responsible for collection of the data 
ın the field and of the teams responsible for processing and storing 
he data in archives, without which this work would not be possi- 
dle. We thank Tamoghna Acharyya at Plymouth Marine Laboratory 
for his initial contribution to this work. We thank the NOAA (US) 
for making available the MOBY data and Yong Sung Kim for the 
help in questions about MOBY data. BOUSSOLE is supported and 
funded by the European Space Agency (ESA), the Centre National 
d’Etudes Spatiales (CNES). the Centre National de la Recherche 
attos://doi.org/10.5194/essd-14-573 /-2027 
Scientifique (CNRS), the Institut National des Sciences de 1’Univers 
(INSU), the Sorbonne Universite (SU), and the Institut de la Mer de 
Villefranche (IMEV). We thank ACRI-ST, ARGANS, and ESA for 
access to the MERMAID Database (http://hermes.acri.fr/mermaid, 
last access: 18 December 2022). We thank Annelies Hommer- 
som, Pierre Yves Deschamps, and David Siegel for allowing the 
use of MERMAID data for which they are Principal Investiga- 
tors. The AMT is funded by the UK Natural Environment Re- 
search Council through its National Capability Long-term Single 
Centre Science Programme, Climate Linked Atlantic Sector Sci- 
ence (grant number NE/R015953/1). This study contributes to the 
international IMBeR project and is contribution number 375 of the 
AMT programme. We thank the British Oceanographic Data Centre 
(BODC) for access to AMT data and in particular to Polly Hadzi- 
abdic and Rob Thomas for their help in questions about the AMT 
data set. We thank Arwen Bargery, Denise Cummings, Giorgio 
Dall’ Olmo, Ella Darlington, Victoria Hill, Patrick Holligan, Gerald 
Moore, Emilio Suarez, and Glen Tarran for the use of AMT data 
for which they are the data contributors. We thank Sam Ahmed, 
Hui Feng, Alex Gilerson, Brent Holben, and Sherwin Ladner for 
allowing the use of the AERONET-OC data for which they are 
Principal Investigators. We also thank the Principal Investigators 
and site managers and site support for AERONET-OC for sustain- 
ing the measurements, and the respective national and international 
funding bodies for financial support. We also thank Giuseppe Zi- 
bordi for data quality control and Brent Holben and his team from 
NASA Goddard Space Flight Centre for making the data avail- 
able online. The AWI data set was supported by the captain, crew, 
and other scientists at the specific German RVs (Meteor, Heincke, 
Maria S. Merian, Polarstern, and Sonne) expeditions and fund- 
ing by the Helmholtz Association (HGF Innovative Network Funds 
Phytooptics, Helmholtz Infrastructure Initiative FRAM), the Euro- 
pean Union (Seventh Framework Programme SHIVA-226224FP7- 
ENV-2008- 1020 1), the BMBF (OASIS FK03G0235A and AS- 
TRA FK03G0243A), the DFG (#268020496-TRR 172 project 
C03 within the Transregional Collaborative Research Center Arc- 
iC Amplication: Climate Relevant Atmospheric 1023 and Sur- 
faCe Processes, and Feedback Mechanisms (AC)3), the collabora- 
tive project OLCI-PFT (ACRI-AWI Offer #209-180104), and the 
ESA 656 S5P-+Innovation Theme 7 Ocean Colour (S5POC) project 
(no. 4000127533/19/I-NS). The Australian Integrated Marine Ob- 
serving System (IMOS) and CSIRO are acknowledged for funding 
'he Lucinda AERONET-OC site. Data from IMOS were sourced 
From Australia’s Integrated Marine Observing System (IMOS) — 
IMOS is enabled by the National Collaborative Research Infras- 
tructure Strategy (NCRIS). We thank Janet Anstee, Joey Crosswell, 
Britta Schaffelke, Bernadette Sloyan, Paul Thomson, and Tom Trull 
for the use of the IMOS data for which they are Principle Investiga- 
tors. We thank Bob Bidigare, Matthew Church, Ricardo Letelier, 
and Jasmine Nahorniak for making the HOT data available, and 
the National Science Foundation for support of the HOT research 
Earth Syst. Sei. Data, 14, 5737-5770. 2022
	        
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