The MALINA oceanographic campaign was conducted during summer 2009 to investigate the carbon stocks and the processes controlling the carbon fluxes in the Mackenzie River estuary and the Beaufort Sea. During the campaign, an extensive suite of physical, chemical and biological variables was measured across seven shelf–basin transects (south-north) to capture the meridional gradient between the estuary and the open ocean. Key variables such as temperature, absolute salinity, radiance, irradiance, nutrient concentrations, chlorophyll-a concentration, bacteria, phytoplankton and zooplankton abundance and taxonomy, and carbon stocks and fluxes were routinely measured onboard the Canadian research icebreaker CCGS Amundsen and from a barge in shallow coastal areas or for sampling within broken ice fields. This dataset is the results of a joint effort to tidy and standardize the collected data sets that will facilitate their reuse in further studies of the changing Arctic Ocean. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

Samples for phytoplankton analyses are collected by employees responsible for farming at musselfarms/aquaculture to monitor the presence and abundance of toxin-producing phytoplankton. These samples are submitted to SMHI on a bi-weekly basis from mussel farms/aquaculture in coastal areas off the west coast of Sweden. On each sampling occasion two samples from plankton net trawls are pooled in addition to a sample collected with a cylindrical water sampler for integrated sampling 0-10 m. The main attributes are phytoplankton (specifically phycotoxin producing) species composition, biovolumes and abundance. The sampling and data is important for monitoring potential health risks for consumers from biotoxins in the musselfarm/aquaculture processes.