This data set includes single fish cod data collected during the RV ALKOR cruise AL608 conducted in March 2024 in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year MARSYS teaching cruise program of the University of Hamburg GFP20-1_047. All single fish measurements were made directly on board. Full wet weights of cod were measured and subsequently cod were gutted and liver weights, gonad weights and sexes, gutted wet weights (i.e., gutted wet mass), gonad stages and liver nematode infestations were recorded.
We collected, formatted and standardized publicly available data from publications and databases for 24 living carbon pools in the North Sea and calculated the carbon stock of these pools per m². The living groups include: Phytoplankton, Protozooplankton, Bacteria, Mesozooplankton, Zooplankton, Phytobenthos, Zoobenthos, Cod, Haddock, Saithe, Whiting, Norway pout, Herring, Sandeel, Sprat, Other fish, Grey Seal, Harbour Seal, Minke Whale, White beaked dolphin, Harbour porpoise, Bottlenose dolphin and White-sided dolphin. Estimates are based on the standing stock biomass of the studied organism groups and represent spatial and temporal averages. Data, data sources, assumptions and calculations are described in detail to ensure reproducibility. The data collection was carried out in the course of the project Anthropogenic impacts on particulate organic carbon cycling in the North Sea (APOC) funded by the German Federal Ministry of Education and Research (BMBF).
We have estimated the standing stock biomass in carbon units per m² in the Baltic Sea ecosystem for 18 living and non-living groups relevant to carbon cycle and management activities in the Baltic Sea. We included three non-living apartments: POC, DOC and sediment carbon. The living groups comprise: phytoplankton, protozooplankton, bacteria, zooplankton, benthos, plaice, flounder, herring, sprat, cod, ringed seals, seals, grey seals and harbour porpoises. The estimates are based on ICES raw data and literature data and represent spatial and temporal averages. Data, data sources, assumptions and calculations are described in detail to ensure reproducibility.