A vector grid in 2 x 2 km resolution showing the environmental sensitivity and the underlying themes that have caused the final vulnerability in summer for the Baltic Sea area. This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Sensitivity map is based on datasets provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report. Field explanations: RS_SR: Rocky shores and stony reefs, Estuaries; Estuaries, Lagoons: Coastal lagoons, Bays: Shallow inlets and bays, Sandbanks: Underwater Sand banks, Beach: Sandy beaches, Seagrass: Sea grass, meadows, Spawning: Spawning area for fish with demersal eggs, Nursery: Nursery areas for fish on shallow water, Off_spawn: Offshore spawning areas for fish with pelagic eggs, Win_Birds: Wintering areas for sea and shore birds, Staging: Staging areas for migrating sea and shore birds, Breeding: Breeding areas for sea and shore birds, Moulting: Moulting areas for sea birds, Mammals: Marine Mammals, Protected: Protected areas, Aquacult:: Fish farms and aqua cultures, Sum: Weighted vulnerability index, Index: Not used Weighted vulnerability index is used to depict vulnerability for the Baltic Sea. Certain parameters have been used to map the environmental sensitivity to oil and each has been weighted for four seasons based on expert judgment. Two alternative sensitivity weighting matrices were also prepared in order to evaluate and validate the results. The sensitivity maps has been combined with the data on oil impact to model environmental damage, and to quantitatively compare the relative efect of the proposed new measures to reduce the risk, impact and damage of oil. Underlaying paramenters used in the vulnerability calculation can be obtained from HELCOM map service under Shipping\Risk Assessment (BRISK)\Environmental parameters -folder.

This dataset describes fishing intensity for SDN DMF mobile bottom contacting gear in 2011 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.

A vector grid in 2 x 2 km resolution showing the environmental sensitivity and the underlying themes that have caused the final vulnerability in winter for the Baltic Sea area. This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Sensitivity map is based on datasets provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report. Field explanations: RS_SR: Rocky shores and stony reefs, Estuaries; Estuaries, Lagoons: Coastal lagoons, Bays: Shallow inlets and bays, Sandbanks: Underwater Sand banks, Beach: Sandy beaches, Seagrass: Sea grass, meadows, Spawning: Spawning area for fish with demersal eggs, Nursery: Nursery areas for fish on shallow water, Off_spawn: Offshore spawning areas for fish with pelagic eggs, Win_Birds: Wintering areas for sea and shore birds, Staging: Staging areas for migrating sea and shore birds, Breeding: Breeding areas for sea and shore birds, Moulting: Moulting areas for sea birds, Mammals: Marine Mammals, Protected: Protected areas, Aquacult:: Fish farms and aqua cultures, Sum: Weighted vulnerability index, Index: Not used Weighted vulnerability index is used to depict vulnerability for the Baltic Sea. Certain parameters have been used to map the environmental sensitivity to oil and each has been weighted for four seasons based on expert judgment. Two alternative sensitivity weighting matrices were also prepared in order to evaluate and validate the results. The sensitivity maps has been combined with the data on oil impact to model environmental damage, and to quantitatively compare the relative efect of the proposed new measures to reduce the risk, impact and damage of oil. Underlaying paramenters used in the vulnerability calculation can be obtained from HELCOM map service under Shipping\Risk Assessment (BRISK)\Environmental parameters -folder.

This dataset contains results on HELCOM Assessment unit level 4b for total phosphorus. The information provided represents the data and results from the HELCOM HOLAS 3 indicator evaluation for eutrophication, covering the data period from 2016-2021. Data reported from national monitoring programmes to the HELCOM COMBINE database (hosted by ICES) is utilized for open sea assessment units. Open sea data extraction is carried out by ICES for in-situ (bottle) data creating the underlying assessment dataset [link ]. Coastal assessment units (WFD water types or water bodies) are assessed based on WFD result data reported by countries. Indicator analysis of both open sea and coastal areas is carried out using the HEAT assessment tool (https://github.com/ices-tools-prod/HEAT). This analysis provide the basis of the HELCOM indicator evaluations and are utilized in the HOLAS 3 thematic assessment of eutrophication. Attribute description: ES = Eutrophication Status ES_SD = Standard Deviation ES_N = Number of Observations ES_N_Min = Minimum Number of Observations any given year ES_SE = Standards Error ES_CI = Confidence Interval ET = Eutrophication Target / Threshold ER = Eutrophication Ratio ACDEV = Acceptable Deviation BEST = ET / (1 + ACDEV / 100) EQR = Ecological Quality Ratio EQR_HG = Ecological Quality Ratio High/Good Boundary EQR_GM = Ecological Quality Ratio Good/Moderate Boundary EQR_MP = Ecological Quality Ratio Moderate/Poor Boundary EQR_PB = Ecological Quality Ratio Poor/Bad Boundary EQRS = Ecological Quality Ratio Scaled GTC = General Temporal Confidence STC = Specific Temporal Confindence TTC = Total Temporal Confidence GSC = General Spatial Confidence SSC = Specific Spatial Confidence TSC = Total Spatial Confidence TC = Total Confidence

Observations of Xenus cinereus were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Xenus cinereus has been placed to the Red List category of Endangered (EN) species. The map shows the species range only during breeding season.

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: Overall seal integrated result map, Grey seal integrated result map, Ringed seal integrated result map, Harbour seal integrated result map, and Harbour porpoise integrated result map. 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: "Mammals_ag" = Aggregated area "SAULEVEL" = spatial assessment unit ID in which the assessment status took place "ECID" = Ecosystem component ID "EClevel" = Ecosystem Component level "EcosystemComponent" = Ecosystem component assessed "BQR" = Biological Quality Ratio "Conf" = Confidence of the assessment (0-1, higher values mean higher confidence) "ConfClass" = Confidence class

The dataset contains information on commercial fishery with unspecified 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 unspecified gears in Baltic Sea in 2007 (Lithuanian data from 2008). Total catches/landings are given per ICES rectangle in tons. Unspecified gears (gear category 0) are gears that the countries have not defined more specifically. The total catches/landings with this type of gears is 150 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.

Observations of Euspira pallida were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Euspira pallida has been placed to the Red List category of Vulnerable (VU) species. Dataset for download contains spatial grid of the Baltic Sea. Distribution of the species can be found in corresponding name column. Values are coded: 1 - Present before year 2000 or in 2000, 2 - Present after year 2000, 3 - Present both before and after year 2000.

Observations of Lebetus scorpioides were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Lebetus scorpioides has been placed to the Red List category of Data Deficient (DD) species. The map shows the sub-basins in the HELCOM area where the species is known to occur regularly and to reproduce (HELCOM 2012).

Observations of Nitella hyalina were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Nitella hyalina has been placed to the Red List category of Vulnerable (VU) species. Dataset for download contains spatial grid of the Baltic Sea. Distribution of the species can be found in corresponding name column. Values are coded: 0 = no observations 1 = present before year 1995 or in 1995 2 = present after year 1995 3 = present before and after year 1995