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

This core indicator evaluates the status of the marine environment based on concentrations of heavy metal Lead (Pb) in biota. Quantitative thresholds are used to classify core indicators status in “Achieve”, “Fail” or “Not assessed”. Threshold values are based on Environmental quality standards (EQS), defined at EU level for substances included in the priority list under the Water Framework Directive. 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 specifications and units: "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "country": country in which the HELCOM assessment unit is located or a mention to an open sea area "level_2" = Name of the HELCOM assessment unit in scale 2 "Name" = Name of the HELCOM assessment unit in scale 4 "Open_sea" = Name of the HELCOM assessment unit in the open sea "F2_Name" = Name of the HELCOM assessment unit "determinan" = Determinat "est" = The estimated mean loge concentration in the assessment unit "se" = The standard error on the estimated mean log concentration in the assessment unit "fit" = The estimated mean concentration in the assessment unit "upper_cl" = Upper one-sided 95% confidence limit on the mean concentration: exp(est + qnorm(0.95) * see) "Status" = Overall Status of the indicator according to one-out-all-out

This core indicator evaluates the status of the marine environment based on concentrations of radioactive substances (Cs-137) in seawater and biota. Quantitative thresholds are used to evaluate if core indicators status is "Achieve", "Fail" or "Not assessed". Good status is achieved when concentrations reach levels measured before the Chernobyl accident in 1986. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins) for herring. Attribute information: "OBJECTID" = Object identification "HELCOM_ID" = Code of the HELCOM scale 2 assessment unit "Indicator" = Name of HELCOM Core indicator "Type" = Type of indicator "Threshold value" = Threshold value for specific assessment unit "Indicator value" = Value of indicator calculated for specific assessment unit "Status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”)

This core indicator evaluates the status of the marine environment based on the reproductive status of seals in the Baltic Sea. Quantitative thresholds are used to evaluate if core indicators status is Achieve, Fail or Not assessed. Good status is achieved when the annual reproductive rate (i.e. pregnancy/birth rate) is at least 90% for five years and older (harbour seals) and six years and older (grey and ringed seals). Currently, a full status evaluation has only been carried out for the grey seal based on Finish and Swedish data. The indicator is applicable for all species of seals and marine mammals that occur in the Baltic Sea, however the amount of data have so far been insufficient for an evaluation of other marine mammal species. This dataset displays the result of the indicator in HELCOM Assessment Scale 1 (Whole Baltic). Attribute information: "Species" = Species "CODE" = Code of the assessment unit "Assessment" = Assessment unit name "Threshold" = Threshold value of core indicator "Result value" = Result value of core indicator "Binomial proportion confidence interval" "Status" = Status for the whole indicator "Notes" = Additional information "AULEVEL" = Assessment unit level used for the indicator "ConfA" = Confidence of classification "ConfT" = Temporal confidence of classification "ConfS" = Spatial confidence of classification "ConfM" = Methodological confidence of classification

The data set is showing sandy beaches along the Finnish coast as points used for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). This dataset has been produced by COWI (http://www.cowi.dk) based on data collected from Finland (Copyright: Metsähallitus).

Dataset description: The dataset reflects spatial delineation of monitored and unmonitored catchments used for the assessment of waterborne nutrients inputs to the Baltic Sea sub-basins (Baltic Sea Environmental Fact Sheet) in the HELCOM Pollution Load Compilation. Polygonal features in the dataset cover entire river catchments without distinguishing between sub-catchments located in upstream countries. Some countries even combine unmonitored and monitored parts of river catchments into a single catchment. The Source Code attribute in the dataset corresponds to the Source_Code in the Assessment data on waterborne input of nutrients dataset. The data is reported to the HELCOM Map and Data Service (MADS) and quality assured by Contracting Parties to HELCOM in accordance with the HELCOM Guidelines for the annual and periodical compilation and reporting of waterborne pollution inputs to the Baltic Sea (HELCOM PLC-Water Guideline). Dataset content: Polygonal feature class contains the following attributes: Sub-catchment code (subc_code): Unique code for river catchments and unmonitored areas Sub-catchment name (subc_name): Name of river catchment or unmonitored area River code (r_code): Unique code of the river included in HELCOM PLC assessment. Sub-basin code (subb_code): The Baltic Sea sub-basin where the river drains to. Country code (c_code): The Country on which territory the river mouth is located, for border rivers both are mentioned. Monitoring (monitoring): The monitoring status of the river (M=monitored and U=unmonitored). Marked as monitored only if the catchment has been monitored for the entire time series. Transboundary (transboundary): Listing all countries that have the rivers drainage area on its territory. Area km2 (area_km2): The total area of the catchment in square kilometres. Year (year). Country codes used in the dataset correspond to: DK-DENMARK; EE-ESTONIA; FI-FINLAND; DE-GERMANY; LV-LATVIA; LT-LITHUANIA; PL-POLAND; RU-RUSSIA; SE-SWEDEN. The Baltic Sea sub-basin codes used in the dataset are: ARC-ARCHIPELAGO SEA; BAP-BALTIC PROPER; BOB-BOTHNIAN BAY; BOS-BOTHNIAN SEA; GUF-GULF OF FINLAND; GUR-GULF OF RIGA; KAT-KATTEGAT; SOU-SOUND; WEB-WESTERN BALTIC. Visualization: Map of catchments in the HELCOM Pollution Load Compilation. Data update: Metadata is updated by HELCOM Secretariat annually by 1 April. The dataset is updated by HELCOM Secretariat annually by 1 April.

Observations of Amblyraja radiata 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. Amblyraja radiata has been placed to the Red List category of Least Concern (LC) species. The map shows the sub-basins in the HELCOM area where the species is known to occur regularly and to reproduce (HELCOM 2012).

Distribution of Charophytes (Chara spp., Nitella spp., Nitellopsis spp., Tolypella spp.) mainly based on data submission by HELCOM contracting parties. Submitted point data was originally gathered in national mapping and monitoring campaigns, or for scientific research. Also scientific publications were used to complement the data (in Curonian, Vistula and Szczechin lagoons, see reference list). Polygon data from Poland was digitized based on Polish Marine Atlas. From Estonian waters, a predictive model was used (200m resolution), that was converted to presence/absence using minimized difference threshold (MDT) criteria. All data (points, polygon and the raster presenting predicted presence of Charophytes) were generalized to 5km x 5km grid cells.

This core indicator evaluates the status of the marine environment based on concentrations of heavy metal cadmium (Cd) in seawater, biota and sediments. Quantitative thresholds are used to evaluate if core indicators status is "Achieve", "Fail" or "Not assessed". Threshold values are based on Environmental quality standards (EQS), defined at EU level for substances included in the priority list under the Water Framework Directive. 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 "Descriptio" = Description of the HELCOM scale 4 assessment unit "AULEVEL" = Assessment unit level used for the indicator "Contamination ratio in biota" = Contamination ratio in biota for this substance "Status in biota" = Status of the indicator in biota (“Achieve”, “Fail” or “Not assessed”) "Contamination ratio in sediment" = Contamination ratio in sediment for this substance "Status in sediment" = Status of the indicator in sediment (“Achieve”, “Fail” or “Not assessed”) "Contamination ratio in water" = Contamination ratio in water for this substance "Status in water" = Status of the indicator in water(“Achieve”, “Fail” or “Not assessed”) "Overall Status" = Overall Status of the indicator according to one-out-all-out (“Achieve”, “Fail” or “Not assessed”)

This dataset depicts risk of oil spill from groundings. The modeled risk is calculated for the years 2008/2009. 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.