This core indicator evaluates the state of the marine environment using distribution of the three species of seals that occur in the Baltic Sea. This dataset is for the Harbour seal. Quantitative thresholds are used to evaluate the core indicators status in "Achieve", "Fail" or "Not assessed". The core indicator has three components for each species: distribution of haul-out sites, breeding sites and foraging areas. Good status is achieved when the distribution of seals is close to pristine conditions (e.g. 100 years ago), or where appropriate when currently available haul-out sites are occupied (modern baseline), and when no decrease in area of occupation occurs. The current evaluation covers the assessment period 2011-2016. This 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 "Area (km2)" = Area of the HELCOM scale 2 assessment unit "Name" = Name of the HELCOM scale 2 assessment unit "Status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "AULEVEL" = Assessment unit level used for the indicator

This dataset displays coastal fish monitoring points as defined by HELCOM FISH-PRO group and stored in HELCOM Coastal fish database (COOL). Monitoring of coastal fish contains two geometry types: Monitoring points for pointwise locations, where CPUE is reported per point and monitoring areas where CPUE is reported per monitoring area (ICES subdivision or square).

This core indicator evaluates the status of the marine environment based on concentrations of dioxin and dioxin like compounds in Baltic Sea fish, crustacean and molluscs as well as on concentrations of non-dioxin like PCB in Baltic Sea fish. Quantitative thresholds are used to evaluate if core indicators status is "Achieve", "Fail" or "Not assessed". Good status is achieved when the concentrations of PCB, dioxin and furans are below the threshold values. This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: "OBJECTID" = Object identification "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "AULEVEL" = Assessment unit level used for the indicator "Contamination ratio in biota (SCB6)" = Contamination ratio in biota for this substance "STATUS_SCB" = Status of the indicator in biota for this substance (“Achieve”, “Fail” or “Not assessed”) "Contamination ratio in biota (SDX)" = Contamination ratio in biota for this substance "STATUS_SDX" = Status of the indicator in biota for this substance (“Achieve”, “Fail” or “Not assessed”) "Overal status" = Overall Status of the indicator according to one-out-all-out (“Achieve”, “Fail” or “Not assessed”)

This dataset was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. This dataset contains all nutrient stations in the Baltic Sea as reported to the HELCOM MORE project.

This core indicator evaluates the status of coastal sea areas of the Baltic Sea based on the abundance of sea trout parr in rivers where they breed. The determination of whether good status is reached is based on a comparison of the observed parr densities in rearing habitats with the reference potential parr densities in the specified habitats. 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 "level_2" = Name of the HELCOM scale 2 assessment unit "level_3" = Name of HELCOM scale 3 assessment unit "ICES Subdivision" = ICES assessment unit number "Area (km2)" = Area of the HELCOM scale 3 assessment unit "Indicator_" = Name of the indicator "Unit" = Unit of the indicator "Type" = 1 = boundary values increase/decrease monotonically, 2 = optimum range indicator "Status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "ConfA" = Confidence of classification "ConfT" = Temporal confidence of classification "ConfS" = Spatial confidence of classification "ConfM" = Methodological confidence of classification "notes" = additional info "AULEVEL" = Assessment unit level used for the indicator

The map of sprat relative abundance is mainly based on Baltic International acoustic surveys (BIAS), years 2011-2016, (ICES WGBIFS reports), reported as millions of sprat per ICES rectangle. The BIAS surveys cover almost the whole area where sprat is commonly encountered. Outside BIAS area, sprat landings data was used to complement the data. For ICES rectangles surveyed by BIAS, values shown are the mean values per ICES rectangle based on BIAS data, average for 2011-2016. For ICES rectangles not surveyed by BIAS, values are calculated as: MAX-value x Weighting factor. The weighting factor is specific to each ICES rectangle, calculated as the ratio between the commercial landings in that rectangle and the commercial landings in the ICES rectangle with highest landings (based on averages for 2011-2015). MAX-value = millions of sprat according to BIAS in the ICES rectangle with highest landings. ICES rectangles outside the BIAS survey area with no reported sprat landings were given the value 0. The abundance values / ICES rectangle were divided by the area of the rectangle to obtain values per 1km2, and then converted to 1 km x 1km grid cells. Values were first log transformed and then normalised.

This dataset depicts risk of oil spills from collision with fixed objects and spills from offshore platforms, terminals, bunkering and STS operation. The modeled risk is calculated for the scenario year 2020 based on predicted traffic density. The area of the bubbles corresponds to the risk of spill of oil and hazardous substances. The unit of the risk is average tonnes per year. This dataset has been produced by Albrecht Lentz, 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/). The dataset is a model result from a software code owned and operated by COWI. BRISK and BRISK-RU provide information on spatial distribution of risks of pollution from ships in the six sub-regions of the Baltic Sea, according to different types of accidents and spill sizes. The assessment takes into account the existing risk control measures as well as the prognosis for future maritime traffic. Groundings and ship-to-ship collisions are by far the most likely types of accidents resulting in pollution. Other kinds of incidents, such as fire, collisions with fixed objects, spills from offshore platforms, as well as illegal discharges have minor contribution to the risks. Further, the oil impact has been modelled. The oil impact can be described as the amount of spilled oil that is expected on the sea surface. The effects of oil drift, weathering and fate, as well as the oil recovery are taken into account. Field descriptions: LON: Longitude (center of ellipse) LAT: Latitude (center of ellipse) SPILLALL: Risk [average tonnes per year], sum of all spills. Used for visualization. SPILL12: Risk [average tonnes per year], small size spills. SPILL34: Risk [average tonnes per year], medium size spills. SPILL123: Risk [average tonnes per year], small & medium size spills. SPILL4: Risk [average tonnes per year], medium size spills. SPILL1234: Risk [average tonnes per year], small & medium size spills. SPILL567: Risk [average tonnes per year] large spills.

This dataset describes fishing effort (hours/c-square) for all gear types in fourth quarter of 2013 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - 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 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 Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.

This dataset describes fishing intensity for OT MIX CRU DMF mobile bottom contacting gear in 2012 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.

This dataset contains disposal sites reported by HELCOM Contracting Parties, according to the HELCOM Recommendation 36/2 (https://helcom.fi/action-areas/industrial-municipal-releases/dredging/). The disposal sites are grouped by spatial data type to pointwise, line and polygon datasets. Data covers the years 2006-2023. The data format is defined in the HELCOM Guidelines for management of dredged material at sea (https://helcom.fi/action-areas/industrial-municipal-releases/dredging/). Attribute information (heading for downloadable shapefile): Helcom site ID (Helcom_sit): Unique id for deposit site Dredging ID (Dredging_I): Dredging site id, where material originates from Unique ID (Unique_ID): Unique id for each depositing activity (Helcom site ID + Dredging ID + year) Site name (Site_name): Name of the deposit site Type of area dredged (Type_of_ar): Type of area that was dredged (e.g. harbour or sea) Dredging activity (Dredging_a): Maintenance or capital dredging Material deposited (Material_d): The type of material deposited (e.g. sand, silt) Amount deposited (tonnes) (Amount_dep): Amount of material that has been deposited to deposit site, tonnes dry weight Amount beneficial use (tonnes) (Amount_ben): Amount material used for beneficial purposes, tonnes dry weight Beneficial use (Beneficial): Description of beneficial use Year (Year): Year of activity Country (Country): Contracting Party of HELCOM Sub-basin (Sub_basin): HELCOM sub-basin (assessment unit level 2) where activity has taken place Comments (Comments): General comments related to activity Contaminants Cd - SPAH9: Amount of contaminant deposited, in tonnes dry weight Contaminants SPCB7 - MBT : Amount of contaminant deposited, in kilograms dry weight Other contaminants (kg) (Other_cont): Any other contaminant deposited (substance indicated in "notes") Petroleum HC (tonnes) (Petroleum_): Amount of Petroleum HC deposited, in tonnes dry weight HCB - DEHP DBP BBP: Amount of contaminant deposited, in kilograms dry weight Contaminant notes (Contaminan): Notes related to contaminant load Permit (Permit): Deposit site permit reference Quality flag (Quality_fl): Quality flag of data - Quality assured: Data is quality assured either in the annual verification or in a separate quality assurance process by EN DREDS - No quality assurance: Data is not quality assured due to the reason that process has not been carried out - No Quality assurance possible: Data quality assurance process has been made, but it was not possible to find the reference data to verify the parameters