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  • Biogeographical province; Chief scientist(s); Chlorophyll a; Comment; DATE/TIME; DEPTH, water; Identification; LATITUDE; Light saturation; LONGITUDE; Maximum light utilization coefficient in carbon per chlorophyll a; Name; Production rate, maximal, light saturated, as carbon per chlorophyll a; Project; Sample ID; Station label  (1)
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  • Biogeographical province; Chief scientist(s); Chlorophyll a; Comment; DATE/TIME; DEPTH, water; Identification; LATITUDE; Light saturation; LONGITUDE; Maximum light utilization coefficient in carbon per chlorophyll a; Name; Production rate, maximal, light saturated, as carbon per chlorophyll a; Project; Sample ID; Station label  (1)
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    PANGAEA
    In:  Supplement to: Bouman, Heather A; Platt, Trevor; Doblin, Martina A; Figueiras, Francisco G; Gudmundsson, Kristinn; Gudfinnsson, Hafsteinn G; Huang, Bangqin; Hickman, Anna; Hiscock, Michael R; Jackson, Thomas; Lutz, Vivian A; Melin, Frederic; Rey, Francisco; Pepin, Pierre; Segura, Valeria; Tilstone, Gavin; van Dongen-Vogels, Virginie; Sathyendranath, Shubha (2018): Photosynthesis-irradiance parameters of marine phytoplankton: synthesis of a global data set. Earth System Science Data, 10, 251-266, https://doi.org/10.5194/essd-10-251-2018
    Publication Date: 2024-03-23
    Description: The MAPPS global database of photosynthesis-irradiance (P-E) parameters consists of over 5000 P-E experiments that provides information on the spatio-temporal variability in the two P-E parameters (the assimilation number, and the initial slope) that are fundamental inputs for models of marine primary production that use chlorophyll as the state variable. The experiments were carried out by an international group of research scientists to examine the basin-scale variability in the photophysiological response of marine phytoplankton over a range of oceanic regimes (from the oligotrophic gyres to productive shelf systems) and covers several decades. These data can be used to improve the assignment of P-E parameters in the estimation of marine primary production using satellite data.
    Keywords: Biogeographical province; Chief scientist(s); Chlorophyll a; Comment; DATE/TIME; DEPTH, water; Identification; LATITUDE; Light saturation; LONGITUDE; Maximum light utilization coefficient in carbon per chlorophyll a; Name; Production rate, maximal, light saturated, as carbon per chlorophyll a; Project; Sample ID; Station label
    Type: Dataset
    Format: text/tab-separated-values, 61295 data points
    Location Call Number Limitation Availability
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