Phytoplankton pigment concentrations of seawater sampled during the Antarctic Circumnavigation Expedition (ACE) during the Austral Summer of 2016/2017.

***** Dataset abstract ***** This dataset contains phytoplankton pigment concentrations sampled during the Antarctic Circumnavigation Expedition (ACE) Leg 1-3 and analysed using high performance liquid chromatography. Water samples were collected from the underway seawater supply every 4 hours and a...

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Bibliographic Details
Main Authors: Antoine, David, Thomalla, Sandy, Berliner, David, Little, Hazel, Moutier, William, Olivier-Morgan, Alexandra, Robinson, Charlotte, Ryan-Keogh, Thomas, Schuback, Nina
Other Authors: Dimier, Celine, Ras, Josephine, Uitz, Julia
Format: Other/Unknown Material
Language:English
Published: Zenodo 2019
Subjects:
ACE
Online Access:https://doi.org/10.5281/zenodo.3406983
Description
Summary:***** Dataset abstract ***** This dataset contains phytoplankton pigment concentrations sampled during the Antarctic Circumnavigation Expedition (ACE) Leg 1-3 and analysed using high performance liquid chromatography. Water samples were collected from the underway seawater supply every 4 hours and at multiple depths from select CTD (conductivity, temperature and depth) rosette deployments. Pigment concentrations have been quality controlled. This circumpolar dataset contains the main pigment concentrations of phytoplankton and can be used to infer phytoplankton biomass and class composition. ***** Dataset contents ***** - ace_phytoplankton_pigments_20190906CURRSGCMR.csv, data file, comma-separated values - ace_phytoplankton_pigments_lod.csv, metadata, comma-separated values - data_file_header.txt, metadata, text - README.txt, metadata, text Pigment concentration values below the limit of detection are reported with fill value ‘NaN’. Any null values are reported with fill value ‘NaN’. The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. This research was partially supported by the Australian Government through the Australian Research Council's Discovery Projects funding scheme (project DP DP160103387).