The dataset contains the number of hunted birds (number of birds/area) per year per area for each target species: common scooter (Melanitta nigra), velvet scoter (Melanitta fusca), eider (Somateri molissima) and long tailed duck (Clangula hymalis). The dataset covers the period 2016-2021. The data was made available by HELCOM Contracting Parties in response to a data call. The data was reported by Denmark, Estonia, Finland and Sweden. The activity was declared as not relevant in Germany, Latvia and Poland. Attribute specification and units: Area: Name of the area given by the national data provider Eid_2016-Eid_2021: Number of hunted eiders in 2016-2021 LTD_2016-LTD_201: Number of hunted long tailed ducks in 2016-2021 Sco_2016-Sco_2021: Number of hunted common scoters in 2016-2021 VSc_2016-VSc_2021: Number of hunted velvet scoters in 2016-2021 avg_syears: average of number of hunted birds

This core indicator evaluates the status of abundance of breeding waterbirds in the Baltic Sea region. The breeding 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 1 (Whole Baltic Sea). Attribute information: "Status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "AULEVEL" = Assessment unit level used for the indicator "level_1" = Name of HELCOM scale 1 assessment unit "Common Shelduck" = Results for common shelduck "Eurasian Oystercatcher" = Results for Eurasian oystercatcher "Pied Avocet" = Results for pied avocet "Ringed Plover" = Results for ringed plover "Turnstone" = Results for turnstone "Dunlin" = Results for dunlin "Arctic Skua" = Results for Arctic skua "Common Gull" = Results for common gull "Herrin Gull" = Results for herring gull "Lesser black-backed gull" = Results for lesser black-backed gull "Little Tern" = Results for little tern "Caspian Tern" = Results for Caspian tern "Arctic Tern" = Results for Arctic tern "Goosander" = Results for goosander "Red-breasted Merganser" = Results for red-breasted merganser "Great crested grebe" = Results for great crested grebe "Great Cormorant" = Results for great cormorant "Razorbill" = Results for razorbill "Common Guillemot" = Results for common guillemot "Black Guillemot" = Results for black guillemot "Tufted Duck" = Results for tufted duck "Common Eider" = Results for common eider "Velvet Scoter" = Results for velvet scoter "Mute Swan" = Results for mute swan "Graylag Goose" = Results for greylag goose "Great black-backed Gull" = Results for great black-backed gull "Sandwich Tern" = Results for sandwich tern "Greater Scaup" = Results for greater scaup

HOLAS II data set on Nuclear power plants discharge water outlets (name, delta temperature of water discharge, heat load) for 2011-2015. The coverage of the data set is full, except for the Leningrad power plant the data is not available.

The dataset contains the extraction of one of the target species, sprat, for the period 2016-2020. The extraction of sprat data set is based on "Fish extraction - commercial fisheries HOLAS 3". Further information about how this dataset was collected and extracted can be found at: https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/a0104cfd-d237-459b-84f8-8e9e21d2df9b Reported per ICES Rectangles, Russian data extracted from ICES annual reports, reported per ICES sub-divisions. Values are redistributed with fishing effort data c-squares (all gears) 2016-2021. Effort values missing from Russia and sub-basin average values given. Extraction of fish species (landings) per ICES c-squares, average of 2016-2020. Landings calculated per km2. Tons/km2 calculated for each species. Log-transformed and normalized.

This dataset contains all dioxinsstations by sub-basin in the Baltic Sea as reported to the HELCOM MORE project.

This dataset represents the underlying data on core indicator Population trends and abundance of seals 2018. This dataset contains reported observations for grey seal species. The core indicator evaluates seal distribution to determine whether it reflects good status. Quantitative thresholds are used to evaluate if core indicators status is Good, Not good or Not assessed. Attribute information: "Species" = Species (GS = Grey seal) "Country" = Country (2 digit acronym) "Site" = Name of site "Area" = Area "HELCOM_SUB" = Name of HELCOM Level 2 assessment unit "Latitude" = Latitude (WGS84 decimal degrees) of site "Longitude" = Longitude (WGS84 decimal degrees) of site "N2000_ID" = Natura2000 ID, if the site is located within Natura 2000 site (if available) "Year" = Year of observation "Month" = Month of observation "Day" = Day of observation (if available) "Count" = Number of individuals observed on site "Count_type" = Count type "Age" = Age of individuals (if available) "No_surveys" = Number of surveys "Method" = Method of survey "CV_Estimate" "Estimate_T" = Estimate type: Modelled / minimum (observed) "Source" = Data source

This dataset contains the commercial Ports of Baltic Sea. The dataset was created in 2016 to be used in HELCOM Assessments. Attribute specification and units port: Name of the port Country: Name of the country LOCodes: the United Nations Code for Trade and Transport Locations

This dataset depicts risk of oil spill from illegal spills. The modeled risk is calculated for the scenario year 2020 based on predicted shipping 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.

The aim of HELCOM Biodiversity database is to collate all available species observation data made available by HELCOM Contracting Parties. The database contains +1M species observations and applies World Register of Marine Species (WoRMS) taxonomy. The data model used is based on Darwin Core format, with required extensions added. Species observations are mostly pointwise observations, but also gridded observations are included for some species. The database can be searched, viewed and downloaded using a specific web application. The whole database can be downloaded as a zipped ESRI File geodatabase. Disclaimer: Data in the database is stemming from various sources. While there has been considerable quality assurance efforts, the accuracy of data can not be quaranteed. Note that HELCOM Contracting Parties report open sea observations on zoobenthos, zooplanton and phytoplantkon to ICES Dome database and those observations are not included in HELCOM Biodiversity database. Biodiversity database attribute description is available below: attrribute; type (description): origin_of_data_collection; Text (Origin of data call / data collection project from which the observation has been obtained) aphiaID; Number (WoRMS AphiaID or species which is used to retrieve taxonomy information from WoRMS webservice) scientific_name; Text (Scientific name of the species as reported in source data) taxonomical_status; Text (Taxonomical status of Scientific name according to WoRMS) accepted_name; Text (Accepted name of the AphiaID according to WoRMS) species_group; Text (Species group of the AphiaID) synonyms; Text (Synonyms of AphiaID according to WoRMS) data_source; Text (Data provider organization) subunit; Text (Further explanation about any subunits or groups of the institution that are responsible for the data submission.) field_number; Text (unique identifier, number or text or combination, created at collection time to identify each observation, e.g. sample numbers) count_value; Number: Number of individuals: Count value (integer) count_unit; Text: Unit of count value count_estimate; Codelist: Total, Modelled, Maximum, Minimum, C-POD, Null. If not available, use Null count_method; Text. Count method as free text decimal_latitude; Number (Latitude coordinate of observation location in WGS84 decimal degrees, 6 decimals) decimal_longitude; Number (Longitude coordinate of observation location in WGS84 decimal degrees, 6 decimals) coordinate_uncertainty; Number (The horizontal distance (in meters) from the given decimal_latitude and decimal_longitude describing the smallest circle containing the whole of the Location. Leave the value empty if the uncertainty is unknown, cannot be estimated, or is not applicable (because there are no coordinates). Zero is not a valid value for this term. polygon_id_1x1km; ID of the polygon to which observations are within (EEA grid) polygon_id_2x2km; ID of the polygon to which observations are within (EEA grid) polygon_id_5x5km; ID of the polygon to which observations are within (EEA grid) polygon_id_10x10km; ID of the polygon to which observations are within (EEA grid) data_generalization; Text (Codelist: no data generalization, data aggregation as grid (1x1km), data aggregation as grid (2x2km), data aggregation as grid (5x5km), data aggregation as grid (10x10km), Other, please specify in the "Notes" section) year_collected; Number (Year as in YYYY) month_collected; Number (Month as in MM) day_collected; Number (Day as in DD) start_day_collected; Number (Year as in YYYY, used if not a date for sampling but rather a time frame exists. Starting year for that sampling period) start_month_collected; Number (Month as in MM, used if not a date for sampling but rather a time frame exists. Starting month for that sampling period) start_day_collected; Number (Day as in DD, used if not a date for sampling but rather a time frame exists. Starting day for that sampling period) end_year_collected; Number (Year as in YYYY, used if not a date for sampling but rather a time frame exists. Last year for that sampling period) end_month_collected; Number (Month as in MM, used if not a date for sampling but rather a time frame exists. Last month for that sampling period) end_day_collected; Number (Day as in DD, used if not a date for sampling but rather a time frame exists. Last day for that sampling period) notes; Text (Any other information) citation; Text. If specific citation should be used for observation, it should be described here restriction; Yes/No (No, if no restrictions on use. Yes, if any information restricted for this observation, that cannot be shared freely) restriction_description; Free text (If Restriction=Yes, then describe the reason and type of restriction) information_withheld; Text (Codelist: no information withheld, Location information aggregated, Location information aggregated and more detailed information can be asked from the Institution, Other, please specify in the "Notes" section

This core indicator evaluates the status of abundance of wintering waterbirds in the Baltic Sea region, here visualized for benthic 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