http://bolin.su.se/data/oden-ao-2018-algal-pigment-1
Giacomo DiTullio, Peter Lee, Nicole Schanke
Algal pigment concentrations from the Arctic Ocean 2018 expedition
NSF Arctic Data Center
2021
Datafile
Marine
Ecosystems
Ocean biology and chemistry
Arctic Ocean
AO18
AO2018
Phytoplankton community
Phytoplankton pigments
Icebreaker Oden
Earth science > Oceans > Ocean chemistry > Pigments
Nicole Schanke
2021-03-22T13:00:09+00:00
English
1
The included dataset contains algal pigment concentrations from samples collected during the Arctic Ocean 2018 expedition. These data provide estimates of phytoplankton community biomass and composition, as taxonomic groups can be estimated by the presence of a few indicating pigments.
Because most of these samples were collected in the same location, but over time, we begin to gain insight into the shift of the phytoplankton community composition from the summer maximal biomass (August) to the declining community as autumn conditions result in lower nutrient and light levels and increased ice cover (September).
Over the course of this expedition, CTD casts were made to collect samples from 5-200 meters, to sample the photic zone. Casts were made at the marginal ice zone, as well as on an almost-daily basis at the mooring location in the high Arctic Ocean. Water samples collected were filtered (GF/F) and frozen until HPLC analysis was preformed. HPLC protocol involves an overnight extraction in acetone before being analyzed on an Agilent 1100 HPLC system equipped with an autosampler, photodiode array and fluorescence detectors. Pigment concentrations were determined using standard peak integration procedures with Agilent's Chemstation software.
The dataset is included in one comma-separated values (csv) file.
Data were collected during the Arctic Ocean 2018 expedition on board the Swedish icebreaker (I/B) Oden, which was organized by the [Swedish Polar Research Secretariat](https://polarforskningsportalen.se/en/arctic/expeditions/arctic-ocean-2018).
The data in this dataset are the same as in DiTullio and Lee (2019) published by the Arctic Data Center (see References) under the Creative Commons Universal 1.0 Public Domain Dedication.