This dataset contains datasets for the Eutrophication assessment developed under the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3). The dataset contains all Baltic Sea monitoring CTD data reported by HELCOM Contracting Parties to ICES for the HOLAS3 assessment period 2016-2021. The data have been reported using the ICES Ocean reporting format: https://www.ices.dk/data/data-portals/Pages/ocean-format.aspx https://www.ices.dk/data/Documents/ocean/ICES-Oceanography-Data-Submission-Format.zip

Springtime Chl-a concentration is here used as a proxy for productive surface waters. In the Baltic Sea Spatial Pressure and Impact Index (SPIA), areas with high springtime phytoplankton production will be given higher importance, as they are considered important areas for the Baltic Sea food web. In the current map, mean of springtime maximum weekly values (weeks 12-22 for the HOLAS3 assessment period 2016-2021). Satellite Chl-a concentration of the surface waters has been used and converted to index by Finnish Environment institute with resolution of 1 km x 1 km grid cells.

This dataset contains the integrated status assessment for seals (grey seals, harbour seals and ringed seals), harbour porpoise and waterbirds (surface-feeding birds, pelagic-feeding birds, benthic-feeding birds, wading birds, and grazing birds) with bycatch for the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3). Status is shown in five categories based on the integrated assessment scores obtained in the tool. Biological Quality Ratios (BQR) above 0.6 correspond to good status. The datasets were created using the BEAT tool. https://github.com/helcomsecretariat/BEAT Attribute information for mammals: "level_2" = HELCOM sub-basins (name of the scale 2 assessment unit) "HELCOM_ID" = id of the HELCOM assessment unit "SAUID" = ID number for the spatial assessment unit "SAULEVEL" = spatial assessment unit ID in which the assessment status took place "SAU" = Name the spatial assessment unit "ECID" = Ecosystem component id "EClevel" = Ecosystem component assessed level "EcosystemC" = Ecosystem component assessed "Status" = Integrated status category (0-0.2 = not good (lowest score), 0.2-0.4 = not good (lower score), 0.4-0.6 = not good (low score), 0.6-0.8 = good (high score), 0.8-1.0 = good (highest score)) "Conf" = Confidence of the assessment (0-1, higher values mean higher confidence) "ConfClass" = Confidence class "BQR" = Biological Quality Ratio "Status_EQR" = Status of the Biological Quality Ratio Attribute information for waterbirds: "Birds_ag" = Birds group area "GroupName" = Birds group area name "level_2" = Name of the HELCOM assessment unit in scale 2 "HELCOM_ID" = Code of the HELCOM scale 2 assessment unit "BQR" = Biological Quality Ratio "Conf" = Confidence of the assessment (0-1, higher values mean higher confidence) "ConfClass" = Confidence class

The assessment results for waterbirds for the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3) contains the following datasets: Integrated Biodiversity Status Assessment for Waterbirds, Integrated Biodiversity Status Assessment for surface-feeding birds, Integrated Biodiversity Status Assessment for pelagic-feeding birds, Integrated Biodiversity Status Assessment for benthic-feeding birds, Integrated Biodiversity Status Assessment for wading birds, and Integrated Biodiversity Status Assessment for grazing birds. Status is shown in five categories based on the integrated assessment scores obtained in the tool. Biological Quality Ratios (BQR) above 0.6 correspond to good status. The datasets were created using the BEAT tool. https://github.com/helcomsecretariat/BEAT Attribute information: "Birds_ag" = Birds group area "GroupName" = Birds group area name "BQR" = Biological Quality Ratio "Conf" = Confidence of the assessment (0-1, higher values mean higher confidence) "ConfClass" = Confidence class "Status" = Integrated status category (0-0.2 = not good (lowest score), 0.2-0.4 = not good (lower score), 0.4-0.6 = not good (low score), 0.6-0.8 = good (high score), 0.8-1.0 = good (highest score)) "ProportionSpecies" = Proportion of species in good status "SAUlevel" = Spatial assessment unit ID in which the assessment status took place "EcosystemComponent" = Ecosystem component assessed

This dataset contains the Coastal fish integrated assessment and the Commercial fish integrated assessment results for the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3). Status is shown in five categories based on the integrated assessment scores obtained in the tool. Biological Quality Ratios (BQR) above 0.6 correspond to good status. The datasets were created using the BEAT tool. https://github.com/helcomsecretariat/BEAT This dataset for commercial fish integrated assessment displays the results of the integrated biodiversity status in ICES statistics rectangles. The dataset for coastal fish integrated assessment displays the result in HELCOM Assessment unit Scale 3 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas). Attribute information for "Coastal fish integrated assessment": "HELCOM_ID" = id of the HELCOM assessment unit "country" = name of the country / opensea "level_2" = HELCOM sub-basins (name of the scale 2 assessment unit) "Level_34" = Name of the HELCOM scale 3 assessment unit "coastal" = id of the coastal HELCOM assessment unit "open_sea" = id of the HELCOM assessment unit in the open sea "SAUID" = ID number for the spatial assessment unit "SAULEVEL" = spatial assessment unit ID in which the assessment status took place "SAU" = Name the spatial assessment unit "ECID" = Ecosystem component id "EClevel" = Ecosystem component assessed level "EcosystemC" = Ecosystem component assessed "Status" = Integrated status category (0-0.2 = not good (lowest score), 0.2-0.4 = not good (lower score), 0.4-0.6 = not good (low score), 0.6-0.8 = good (high score), 0.8-1.0 = good (highest score)) "Conf" = Confidence of the assessment (0-1, higher values mean higher confidence) "ConfClass" = Confidence class "BQR" = Biological Quality Ratio Attribute information for "Commercial fish integrated assessment results": "Major_FA" = FAO Major fishing areas "SubArea" = FAO Major fishing areas sub Area "Division" = FAO Major fishing areas division "SubDivisio" = ICES Sub-division "Unit" = unit "Area_Full" = Full name of the ICES SD "DEM" = Values for demersal fish "PEL" = Values for pelagic fish "Confidence" = Confidence of the assessment (0-1, higher values mean higher confidence) "BQR" = Biological Quality Ratio

The assessment results for pelagic habitats for the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3) based on integrating following indicators: Zooplankton mean size and total stock, Seasonal succession of dominating phytoplankton groups, Cyanobacterial bloom index, Diatom-dinoflagellate index. Status is shown in five categories based on the integrated assessment scores obtained in the tool. Biological Quality Ratios (BQR) above 0.6 correspond to good status. The datasets were created using the BEAT tool. https://github.com/helcomsecretariat/BEAT German coastal areas were assessed based on WFD indicators.

Summary Light availability in the Baltic Sea. The Baltic Sea bottom is divided into photic (1) and non-photic (2) bottoms. Description The dataset contains information on light availability in the Baltic Sea. The Baltic Sea bottom is divided into photic (1) and non-photic (2) bottoms (areas where 1% of available light reaches the seabed). The light availability data has been produced withing the EUSeaMap project and was reported on request to HELCOM Secretariat by DHI.

This dataset contains pre-core indicator results developed under the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3).

Data represent the ecosystem service quantified benefit estimates in the Baltic Sea in 1x1km grid. Map is based on data submitted for the HOLAS3 data call and the methodology for estimating these benefits is described in the HOLAS 3 ESA thematic assessment report. The process involves the development of separate ecosystem component distribution maps and ecosystem service provision rate maps, which are then multiplied to calculate the estimated delivery of bio-physical benefits.

The Diatom/Dinoflagellate index (Dia/Dino index) reflects the dominance patterns in the phytoplankton spring bloom. It has high relevance for the pathway of the food into the pelagic or benthic food web. In principle, the indicator is applicable in all coastal and open sea assessment units, except lagoons, large river plumes and the Bothnian Bay; however, thresholds for the good status are defined only for the southern and central Baltic Sea up to now. In this assessment unit, the average Dia/Dino index of the years 2016-2021 was just below the threshold value of 0.5 for good status. The confidence of the indicator evaluation depends on the data frequency. The data have to represent the diatom and dinoflagellate blooms adequately. If the diatom bloom is not sufficiently represented in the data, an alternative Dia/Dino index may be applied, based on silicate consumption data. This indicator is robust; its calculation is simple and traceable. The phytoplankton monitoring is operational in the whole Baltic Sea using methods prescribed in the COMBINE manual. Currently, a high quality of the data is assured by the experts of the HELCOM Phytoplankton Expert Group (PEG). The basic data are phytoplankton biomass data, determined as explained in the HELCOM COMBINE manual, originating from the depth of 0 – 10 m. Also silicate data were used that were taken parallel to the phytoplankton sampling. Diatom-dinoflagellate ratio dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). Attribute information: "HELCOM_ID" = ID of the HELCOM scale 2 assessment unit "level_2" = Name of the HELCOM scale 2 assessment unit "Indicator_" = Name of the indicator "Period" = Interval of year of the sampling "AnnualSamp" = Assessment average sampling value "Unit" = Unit of the indicator "Type" = Type of indicator (1=monotonic, 2=unimodal, optimal range) "Threshold_" = Threshold value of indicator "Indicator1" = Result of the indicator "Status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”)