Articles | Volume 5, issue 1
https://doi.org/10.5194/essd-5-109-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-5-109-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The MAREDAT global database of high performance liquid chromatography marine pigment measurements
J. Peloquin
Environmental Physics Group, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Switzerland
C. Swan
Environmental Physics Group, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Switzerland
N. Gruber
Environmental Physics Group, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Switzerland
M. Vogt
Environmental Physics Group, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Switzerland
H. Claustre
Laboratoire d'Océanographie de Villefranche, UMR7093, CNRS, 06230 Villefranche-sur-Mer, France
Université Pierre et Marie Curie-Paris 6, UMR7093, Laboratoire d'Océanographie de Villefranche, 06230 Villefranche-sur-Mer, France
J. Ras
Laboratoire d'Océanographie de Villefranche, UMR7093, CNRS, 06230 Villefranche-sur-Mer, France
Université Pierre et Marie Curie-Paris 6, UMR7093, Laboratoire d'Océanographie de Villefranche, 06230 Villefranche-sur-Mer, France
Laboratoire d'Océanographie de Villefranche, UMR7093, CNRS, 06230 Villefranche-sur-Mer, France
Université Pierre et Marie Curie-Paris 6, UMR7093, Laboratoire d'Océanographie de Villefranche, 06230 Villefranche-sur-Mer, France
R. Barlow
Bayworld Centre for Research and Education, Rogge Bay 8012, Cape Town, South Africa
Marine Research Institute, University of Cape Town, Rondebosch 7701, Cape Town, South Africa
M. Behrenfeld
Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
R. Bidigare
Department of Oceanography, University of Hawai'i at Manoa, Honolulu, HI, USA
H. Dierssen
Department of Marine Sciences, University of Connecticut, Groton, CT, USA
G. Ditullio
Grice Marine Lab, College of Charleston, SC, USA
E. Fernandez
Departamento Ecoloxía e Bioloxía Animal, Universidade de Vigo, 36310 Vigo, Spain
C. Gallienne
Plymouth Marine Laboratory, Plymouth, PL1 3DH, UK
S. Gibb
Environmental Research Institute, University of the Highlands and Islands, UK
R. Goericke
Scripps Institution of Oceanography, University of California, San Diego, CA, USA
L. Harding
University of Maryland Horn Point Laboratory, Cambridge, MD, USA
E. Head
Ecosystem Research Division, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada
P. Holligan
Ocean and Earth Science University of Southampton, National Oceanography Centre, Southampton, SO14 3ZH, UK
S. Hooker
NASA Goddard Space Flight Center, Greenbelt, MD, USA
D. Karl
Department of Oceanography, University of Hawai'i at Manoa, Honolulu, HI, USA
M. Landry
Department of Oceanography, University of Hawai'i at Manoa, Honolulu, HI, USA
R. Letelier
College of Oceanic and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA
C. A. Llewellyn
Plymouth Marine Laboratory, Plymouth, PL1 3DH, UK
M. Lomas
Bermuda Institute of Ocean Sciences, St. George's GE 01, Bermuda
M. Lucas
Marine Research Institute, University of Cape Town, Rondebosch 7701, Cape Town, South Africa
A. Mannino
NASA Goddard Space Flight Center, Greenbelt, MD, USA
J.-C. Marty
Laboratoire d'Océanographie de Villefranche, UMR7093, CNRS, 06230 Villefranche-sur-Mer, France
Université Pierre et Marie Curie-Paris 6, UMR7093, Laboratoire d'Océanographie de Villefranche, 06230 Villefranche-sur-Mer, France
B. G. Mitchell
Scripps Institution of Oceanography, University of California, San Diego, CA, USA
F. Muller-Karger
Institute for Marine Remote Sensing/IMaRS, College of Marine Science, University of South Florida, St. Petersburg, FL, USA
N. Nelson
Earth Research Institute, University of California, Santa Barbara, CA, USA
C. O'Brien
Environmental Physics Group, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Switzerland
B. Prezelin
Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, USA
D. Repeta
Woods Hole Oceanographic Institution, Woods Hole, MA, USA
W. O. Jr. Smith
Virginia Institute of Marine Science, College of William & Mary, Gloucester Pt., VA, USA
D. Smythe-Wright
Ocean and Earth Science University of Southampton, National Oceanography Centre, Southampton, SO14 3ZH, UK
R. Stumpf
NOAA National Ocean Service, Silver Spring, MD, USA
A. Subramaniam
Lamont Doherty Earth Observatory at Columbia University, Palisades, NY, USA
K. Suzuki
Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan
C. Trees
NATO Undersea Research Centre, La Spezia, Italy
M. Vernet
Scripps Institution of Oceanography, University of California, San Diego, CA, USA
N. Wasmund
Leibniz Institute for Baltic Sea Research, 18119 Warnemünde, Germany
S. Wright
Australian Antarctic Division, and Antarctic Climate and Ecosystems Cooperative Research Centre, 203 Channel Hwy Kingston, Tasmania 7050, Australia
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39 citations as recorded by crossref.
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38 citations as recorded by crossref.
- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela 10.1016/j.rse.2017.03.040
- MAREDAT: towards a world atlas of MARine Ecosystem DATa E. Buitenhuis et al. 10.5194/essd-5-227-2013
- Phytoplankton community structure in relation to vertical stratification along a north‐south gradient in the Northeast Atlantic Ocean K. Mojica et al. 10.1002/lno.10113
- phytoclass: A pigment‐based chemotaxonomic method to determine the biomass of phytoplankton classes A. Hayward et al. 10.1002/lom3.10541
- A compilation of global bio-optical in situ data for ocean colour satellite applications – version three A. Valente et al. 10.5194/essd-14-5737-2022
- A Self-Attention-Based Deep Learning Model for Estimating Global Phytoplankton Pigment Profiles Y. Yang et al. 10.1109/TGRS.2024.3435044
- Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning A. Puissant et al. 10.3390/rs13081445
- Response of active picoeukaryotes to the deposition of Saharan dust and European aerosols in the eastern Mediterranean Sea W. Wu et al. 10.3354/ame01881
- Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
- Vertical distribution of chlorophyll <I>a</I> concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean R. Sauzède et al. 10.5194/essd-7-261-2015
- A biological ocean data reformatting effort K. Baldry et al. 10.1038/s41597-024-03038-0
- Potential controls of isoprene in the surface ocean S. Hackenberg et al. 10.1002/2016GB005531
- Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
- Seasonality, phytoplankton succession and the biogeochemical impacts of an autumn storm in the northeast Atlantic Ocean S. Painter et al. 10.1016/j.pocean.2016.02.001
- A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean C. Mouw et al. 10.3389/fmars.2017.00041
- Retrieving the vertical distribution of chlorophyll a concentration and phytoplankton community composition from in situ fluorescence profiles: A method based on a neural network with potential for global‐scale applications R. Sauzède et al. 10.1002/2014JC010355
- The Scientific Legacy of the CARIACO Ocean Time-Series Program F. Muller-Karger et al. 10.1146/annurev-marine-010318-095150
- Green diatom mutants reveal an intricate biosynthetic pathway of fucoxanthin Y. Bai et al. 10.1073/pnas.2203708119
- A global seasonal surface ocean climatology of phytoplankton types based on CHEMTAX analysis of HPLC pigments C. Swan et al. 10.1016/j.dsr.2015.12.002
- Accuracy of Empirical Satellite Algorithms for Mapping Phytoplankton Diagnostic Pigments in the Open Ocean: A Supervised Learning Perspective A. Stock & A. Subramaniam 10.3389/fmars.2020.00599
- Exploration of marine phytoplankton: from their historical appreciation to the omics era J. Karlusich et al. 10.1093/plankt/fbaa049
- Satellite-Observed Chlorophyll-a Concentration Variability in the East Sea (Japan Sea): Seasonal Cycle, Long-Term Trend, and Response to Climate Index K. Park et al. 10.3389/fmars.2022.807570
- BGC-val: a model- and grid-independent Python toolkit to evaluate marine biogeochemical models L. de Mora et al. 10.5194/gmd-11-4215-2018
- A compilation of global bio-optical in situ data for ocean-colour satellite applications – version two A. Valente et al. 10.5194/essd-11-1037-2019
- Identification of dominant phytoplankton functional types in the Mediterranean Sea based on a regionalized remote sensing approach G. Navarro et al. 10.1016/j.rse.2014.06.029
- How Can Phytoplankton Pigments Be Best Used to Characterize Surface Ocean Phytoplankton Groups for Ocean Color Remote Sensing Algorithms? S. Kramer & D. Siegel 10.1029/2019JC015604
- Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al. 10.3389/fmars.2017.00203
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- Modeling Photoprotection at Global Scale: The Relative Role of Nonphotosynthetic Pigments, Physiological State, and Species Composition E. Álvarez et al. 10.1029/2018GB006101
- Phytoplankton diversity emerging from chromatic adaptation and competition for light E. Álvarez et al. 10.1016/j.pocean.2022.102789
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- An algal enzyme required for biosynthesis of the most abundant marine carotenoids O. Dautermann et al. 10.1126/sciadv.aaw9183
- Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data M. Soppa et al. 10.3390/rs61010089
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- Spring phytoplankton communities of the Labrador Sea (2005–2014): pigment signatures, photophysiology and elemental ratios G. Fragoso et al. 10.5194/bg-14-1235-2017
- Warming and eutrophication combine to restructure diatoms and dinoflagellates W. Xiao et al. 10.1016/j.watres.2017.10.051
1 citations as recorded by crossref.
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