This dataset contains data used for assessing the HELCOM core indicator Reproductive status of seals 2018. The data has been collated by indicator leads based on national monitoring data. For this dataset, the data is aggregated and summarized by ICES Subdivisions. Attribute information: "Major_FA" = FAO Major Area "SubArea" = FAO Subarea "Division" = ICES division "Area_km2" = Area of ICES sub-division "Country" = Country "Species" = Seal species "Code" "Year" = Year of data collection "Date" = Date of data collection "Month" = Month of data collection "Sex" = Sex of the collected individual "Swedish_re" "ICES_SD" = ICES sub-division "Age" = Age of the collected individual "Cause_of_d" = Cause of death "Length" = Lengh of the collected individual "Pregnant" "Data_sourc" = Data source "Data_origi" = Country of the data "Data_restr" = Data restriction

The dataset contains the location of oil refineries derived from the European Pollutant Release and Transfer Register (E-PRTR). The dataset covers all HELCOM Contracting Parties except Russia.

This core indicator evaluates the status of abundance of wintering waterbirds in the Baltic Sea region, here visulized for surface feeders.The wintering waterbirds are considered to reflect good status when at least 75% of the considered species deviate less than 30% downwards (species laying more than one egg per year) or 20% downwards (species laying one egg per year) from the baseline condition during the reference period 1991-2000. This dataset displays the result of the indicator in HELCOM Assessment Scale 3 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and offshore areas). Attribute information: "HELCOM_ID" = ID of the HELCOM scale 3 assessment unit "country" = Country "Group area" = Name of the group area "level_2" = Name of scale 2 HELCOM assessment unit (subbasin) "level_3" = Name of scale 3 HELCOM assessment unit "Area (km2)" = Area of HELCOM assessment unit "coastal" = HELCOM ID of the coastal areas "open_sea" = Open sea assessment unit name "Abundance" = Assessed parameter "Threshold" = Threshold value "Wading feeders" = Results for the category "Wading feeders status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "Surface feeders" = Results for the category "Surface feeders status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "Pelagic feeders" = Results for the category "Pelagic feeders status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "Benthic feeders" = Results for the category "Benthic feeders status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "Grazing feeders" = Results for the category "Grazing feeders status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "AULEVEL" = Assessment unit level used for the indicator

Summary Estimated observations of the biotope 1140 were collected from the Baltic Sea area by expert judgements for HELCOM Red List of biotopes, habitats and biotope complexes. Description Mudflats and sandflats not covered by seawater at low tideThe HELCOM Red List of Baltic Sea underwater biotopes, habitats and biotope complexes (2013) is an updated and improved version of the Red List assessment of marine and coastal biotopes and biotope complexes published in 1998. The classification of the report follows the proposed International Union for Conservation of Nature (IUCN) criteria and assessment principals but with some modifications for the Baltic Sea.Altogether, the HELCOM Underwater Biotope and habitat classification (HELCOM HUB) includes 209 biotopes of which 59 were red-listed. Many of the red-listed biotopes are located in deep areas of the Baltic Sea due to oxygen-free nature as well as in the southwestern Baltic Sea due to the salinity restricted distribution of species in certain biotope. The HELCOM assessment relies heavily on expert judgment and inference, and the questionnaire data represents the estimated presence-absence data not in-situ measured data. This must be taken in account when observing the map presentation. The biotopes are shown on the map using the EEA 100 km grid. This dataset displays estimated presence of the biotope 1140 according to HELCOM RED LIST assessment experts:Mudflats and sandflats not covered by sea water at low tide occur in all parts of the Baltic Sea area, but patterns and descriptions of their distribution are mostly missing. In the Lahemaa area (Southern Gulf of Finland) for example, they are representing 3% of all habitats and also in the German Baltic Sea region they form a very narrow strip along some the coastlines. No information is available on their historical distribution. The distribution map indicates the area in the 100 x 100 km grid where biotope is known to occur (Naturvårdverket 2011, EUNIS Database).(Data (expert judgements) collected in HELCOM RED LIST project, released in May 2013)

This dataset represents the underlying data on core indicator Trends in arrival of new non-indigenous species 2018. This dataset contains reported observations of alien species on HELCOM Assessment unit level 2. The core indicator evaluates status of arrival of new non-indigenous species whether it reflects good environmental status. Quantitative thresholds are used to evaluate if core indicators status is Good, Not good or Not assessed. The assessment is done for HELCOM Assessment unit level 1 (whole Baltic Sea). Attribute information: "HELCOM_ID" = ID of HELCOM Level 2 assessment unit "Level_2" = Name of assessment unit "Area_km2" = Area of assessment unit "Threshold_v" = Threshold value (0 = no alien species observed) "Observatio" = Observed value (0 = no alien species observed, 1 = alien species observed) "Confidence" = Confidence of assessment "Species" = Species observed in assessment unit "Status" = Status of assessment unit (Fail / Achieve / Not assessed) "AULEVEL" = Level of the Assessment unit

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 represents the underlying data on core indicator Abundance of waterbirds in the wintering season 2018. Attribute information: "SITECODE_n" =unique site code "YEAR" = year of the observation "SPECIES" = species observed "ABUNDANCE" = Abundance "Country" = Country code "COORD_ X": longitude coordinate of site "COORD_Y": latitude coordinate of station "SITECODE": unique site code with country code

The dataset contains information on commercial fishery with surface and mid-water gears in Baltic Sea in 2007 (Lithuanian data from 2008). Total catches/landings are given per ICES rectangle in tons. The dataset contains information on commercial fishery with surface and mid-water gears in Baltic Sea in 2007 (Lithuanian data from 2008). Total catches/landings are given per ICES rectangle in tons. Surface and mid-water gears (gear category 1)includes mid-water otter and pair trawls, Danish seine, pelagic trawls, drift nets, trolling lines, drifting longlines, unspecified longlines. The total catches/landings with this type of gears are 607,000 tons. The catches/landings per ICES rectangle are also given per species. Data was requested from HELCOM contracting parties through HELCOM HOLAS project. Landings/ catches data from Finland, Sweden, Denmark, Germany, Poland, Lithuania, Latvia and Estonia is based on national data, while Russian data is based on the ICES report "Report of the Baltic Fisheries Assessment Working Group (WGBFAS)" (2008). Commercial fishery data was reported by the following persons/authorities to HELCOM Secretariat: Germany:Dr. Christopher Zimmermann (Institut für Ostseefischerei (OSF), Johann Heinrich von Thünen-Institut (vTI), Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei) Lithuania: Open sea: Irina Jakovleva (Fisheries Reguliation Division, Baltic Sea Fisheries Department, Fisheries Department under the Ministry of Agriculture); coastal: Rimantas Repecka (Head of Laboratory of Marine Ecology, Institute of Ecology of Vilnius University) Sweden: Jarl Engquist (Avdelningen för fiskerikontroll, Swedish Board of Fisheries) Latvia: Marina Fettere (Fishery and Information section, Latvian Fish Resources Agency) Finland: Pirkko Söderkultalahti (Finnish Game and Fisheries Research Institute) Estonia: Ministry of Agriculture Denmark: Troels Pade (The Danish Directorate of Fisheries, Ministry for Food, Agriculture and Fisheries) Russia: no contact person, data from ICES reports Poland: Malgorzata Marciniewicz-Mykieta (Departament Monitoringu i Informacji o Srodowisku, Glówny Inspektorat Ochrony Srodowiska) Abbreviation of species ABK=White Bream; ACC=Ruffe; ACH=Charr; ALR=Bleak; ANE=European anchovy; ANF=Anglerfishes; BLL=Brill; CAT=Rockfishes; CGO=Goldfish; COD=Cod; CRA=Marine crabs; CRE=Edible Crab; CSH=Common shrimp; DAB=Dab; DGS=Sourdog/Spint Dogfish; ELE=Eel; ELP=Eelpout; FAS=Asp; FBM=Bream; FBR=Freshwater breams; FBU=Burbot; FCC=Crucian carp; FCP=Common carp; FGR=Grayling; FID=Orfe (=Ide); FIE=Common dace; FLE=Flounder; FLX=Flatfishes; FPE=Perch; FPI=Pike; FPP=Zander (Pikeperch); FRD=Rudd; FRF=Freshwater fishes; FRO=Roach; FRU=Ruffe; FSB=Silver bream; FTE=Tench; FVE=Vendace (Cisco); FVI=Freshwater Vimba; GAR=Garfish; GPA=Gobies; GTA=Three-Spined Stickleback; GUG=Grey Gurnard; HAD=Haddock; HAL=Halibut; HER=Herring; HKE=Hake; HOM=Horse Mackarel; JAX=Jack and horse mackerels; LAR=River lamprey; LAU=Sea lamprey; LBE=European Lobster; LEM=Lemon Sole; LIN=Ling; LUM=Lumpfish; MAC=Mackerel; MLR=Thicklip Grey Mullet; MON=Monkfish; MQS=Four Spined Sculpin; MTL=Thick-lipped Mullet; MUL=Grey mullets; MUS=Blue mussel; MUX=Surmullets (= Red mullets); MZZ=Marine fishes; NBU=Round Goby NEP=Norway lobster; NOP=Norway pout; OTH=Other sp; PLA=Long-rough dab; PLE=Plaice; PLN=European Whitefish; POK=Saithe; POL=Pollack; PPZ=Common Prawn; PRA=Northern Pink Shrimp; SAL=Salmon; SAN=Sandeels; SKA=Skates, rays; SKB=Sticklebacks; SME=Smelt; SOL=Sole; SPR=Sprat; SQU=Squids; SRA=Atlantic searobins; SRE=Rudd; TAS=Twaite Shad; TGQ=Fourhorn Sculpin; TRB=Rainbow Trout; TRO=Trouts; TRR=Rainbow Trout; TRS=SeaTrout; TSD=Twaite Shad; TUR=Turbot; UNK=Unknown Catches; USK=Tusk; WEG=Greater Weever; WHB=Blue Whiting; WHF=Whitefish, Houting, Powan; WHG=Whiting; WIT=Witch; VIV=Vimba bream.

The dataset contains information on commercial driftnet fishery in Baltic Sea in 2007 (Lithuanian data from 2008). Total catches/landings are given per ICES rectangle in tons. The dataset contains information on commercial driftnet fishery in Baltic Sea in 2007 (Lithuanian data from 2008). Total catches/landings are given per ICES rectangle in tons. The catches/landings per ICES rectangle are also given per species. Data was requested from HELCOM contracting parties through HELCOM HOLAS project. Landings/ catches data from Finland, Sweden, Denmark, Germany, Poland, Lithuania, Latvia and Estonia is based on national data, while Russian data is based on the ICES report "Report of the Baltic Fisheries Assessment Working Group (WGBFAS)" (2008). Commercial fishery data was reported by the following persons/authorities to HELCOM Secretariat: Germany:Dr. Christopher Zimmermann (Institut für Ostseefischerei (OSF), Johann Heinrich von Thünen-Institut (vTI), Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei) Lithuania: Open sea: Irina Jakovleva (Fisheries Reguliation Division, Baltic Sea Fisheries Department, Fisheries Department under the Ministry of Agriculture); coastal: Rimantas Repecka (Head of Laboratory of Marine Ecology, Institute of Ecology of Vilnius University) Sweden: Jarl Engquist (Avdelningen för fiskerikontroll, Swedish Board of Fisheries) Latvia: Marina Fettere (Fishery and Information section, Latvian Fish Resources Agency) Finland: Pirkko Söderkultalahti (Finnish Game and Fisheries Research Institute) Estonia: Ministry of Agriculture Denmark: Troels Pade (The Danish Directorate of Fisheries, Ministry for Food, Agriculture and Fisheries) Russia: no contact person, data from ICES reports Poland: Malgorzata Marciniewicz-Mykieta (Departament Monitoringu i Informacji o Srodowisku, Glówny Inspektorat Ochrony Srodowiska) Abbreviation of species ABK=White Bream; ACC=Ruffe; ACH=Charr; ALR=Bleak; ANE=European anchovy; ANF=Anglerfishes; BLL=Brill; CAT=Rockfishes; CGO=Goldfish; COD=Cod; CRA=Marine crabs; CRE=Edible Crab; CSH=Common shrimp; DAB=Dab; DGS=Sourdog/Spint Dogfish; ELE=Eel; ELP=Eelpout; FAS=Asp; FBM=Bream; FBR=Freshwater breams; FBU=Burbot; FCC=Crucian carp; FCP=Common carp; FGR=Grayling; FID=Orfe (=Ide); FIE=Common dace; FLE=Flounder; FLX=Flatfishes; FPE=Perch; FPI=Pike; FPP=Zander (Pikeperch); FRD=Rudd; FRF=Freshwater fishes; FRO=Roach; FRU=Ruffe; FSB=Silver bream; FTE=Tench; FVE=Vendace (Cisco); FVI=Freshwater Vimba; GAR=Garfish; GPA=Gobies; GTA=Three-Spined Stickleback; GUG=Grey Gurnard; HAD=Haddock; HAL=Halibut; HER=Herring; HKE=Hake; HOM=Horse Mackarel; JAX=Jack and horse mackerels; LAR=River lamprey; LAU=Sea lamprey; LBE=European Lobster; LEM=Lemon Sole; LIN=Ling; LUM=Lumpfish; MAC=Mackerel; MLR=Thicklip Grey Mullet; MON=Monkfish; MQS=Four Spined Sculpin; MTL=Thick-lipped Mullet; MUL=Grey mullets; MUS=Blue mussel; MUX=Surmullets (= Red mullets); MZZ=Marine fishes; NBU=Round Goby NEP=Norway lobster; NOP=Norway pout; OTH=Other sp; PLA=Long-rough dab; PLE=Plaice; PLN=European Whitefish; POK=Saithe; POL=Pollack; PPZ=Common Prawn; PRA=Northern Pink Shrimp; SAL=Salmon; SAN=Sandeels; SKA=Skates, rays; SKB=Sticklebacks; SME=Smelt; SOL=Sole; SPR=Sprat; SQU=Squids; SRA=Atlantic searobins; SRE=Rudd; TAS=Twaite Shad; TGQ=Fourhorn Sculpin; TRB=Rainbow Trout; TRO=Trouts; TRR=Rainbow Trout; TRS=SeaTrout; TSD=Twaite Shad; TUR=Turbot; UNK=Unknown Catches; USK=Tusk; WEG=Greater Weever; WHB=Blue Whiting; WHF=Whitefish, Houting, Powan; WHG=Whiting; WIT=Witch; VIV=Vimba bream

This dataset describes fishing intensity for subsurface mobile bottom contacting gear in 2014 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.