This dataset contains all indicator and assessment results and data for the State of the Baltic Sea (HOLAS II) 2017 version. Final 2018 versions are included separately in HELCOM Map and Data service and metadata catalogue. All datasets for HOLAS II and associated metadata were here compiled. The datasets are: Abundance of coastal fish key functional group cyprinids Abundance of coastal fish key functional group piscivores Abundance of coastal fish species Abundance of salmon spawners and smolt Abundance of waterbirds in the breeding season Abundance of waterbirds in the wintering season Chlorophyll a status Cyanobacterial bloom Dissolved inorganic nitrogen Dissolved inorganic phosphorous Distribution of grey seals Distribution of harbour seals Distribution of ringed seals Eutrophication assessment insitu data Heavy metals – Cadmium (Cd) levels Heavy metals – Lead (Pb) levels Heavy metals – Mercury (Hg) levels Hexabromocyclododecane (HBCDD) levels Integrated biodiversity status assessment for benthic habitats Integrated biodiversity status assessment for fish Integrated biodiversity status assessment for grey seals Integrated biodiversity status assessment for harbour porpoises Integrated biodiversity status assessment for pelagichabitats Integrated biodiversity status assessment for ringed seals Integrated biodiversity status assessment for seals Integrated contamination status assessment Integrated eutrophication status assessment Oxygen det PCB dioxin and furan Perfluorooctane sulphonate (PFOS) Polyaromatic hydrocarbons (PAH) and their metabolites Polybrominated diphenyl ethers Cesium-137 in fish Cesium-137 in flatfish Cesium-137 in herring Cesium-137 in seawater Malformed embryos of amphipods State of the soft bottom macrofauna community TBT and imposex Total nitrogen Total phosphorous Trend in arrival of new non-indigenous species Water clarity Zooplankton mean size and total stock MSTS

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 depicts risk of oil spill from groundings. 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 contains all TBT stations by sub-basin in the Baltic Sea as reported to the HELCOM MORE project.

Amount of hunted birds (number of birds/area) per year per area (county) is given separately for each target species: common scooter (Melanitta nigra), velvet scoter (Melanitta fusca), eider (Somateri molissima) and long tailed duck (Clangula hymalis). The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Denmark, Estonia, Finland and Sweden. The activity was declared as not relevant in Germany, Latvia, Lithuania and Poland. For each species, a total number of hunted birds during the time period and a calculated average (hunted birds/year), is given. Data includes a total number (sum) of all hunted birds during the time period per county (total number of hunted birds/ county) and an average for hunted birds annually (hunted individuals/year). Velvet scoter is protected species in Sweden and Finland, and not listed as a game in Estonia. Common scoter is also protected species in Finland, thus hunting data is not available. Attribute specification and units: Country: Country AreaCode: County’s national code Area: County, unit area TOTAL: Total number of hunted birds in 2011-2015 Average: An average of hunted birds in a year (hunted birds/year) 2011_Sco – 2015_Sco: Number of hunted common scoters in 2011-2015 SUM_Sco: Total number of hunted common scoters in 2011-2015 Mean_Sco: An average number of hunted common scoters in a year (hunted individuals/year) 2011_VSco – 2015_VSco: Number of hunted velvet scoters in 2011 - 2015 SUM_Vsco: Total number of hunted velvet scoters in 2011-2015 Mean_Vsco: An average number of hunted velvet scoters in a year (hunted individuals/year) 2011_Eider – 2015_Eider: Number of hunted eiders in 2011 - 2015 SUM_Eider: Total number of hunted eiders in 2011-2015 Mean_Eider: An average number of hunted eiders in a year (hunted individuals/year) 2011_LTDuc – 2015_LTDuc: Number of hunted long tailed ducks in 2011 – 2015 SUM_LTDuck: Total number of hunted long tailed ducks in 2011-2015 Mean_LTDuc: An average number of hunted long tailed ducks in a year (hunted individuals/year) Notes: Notes regarding the data

HELCOM Marine Protected Areas database (HELCOM MPA database) contains following information: The HELCOM MPA database contains information related to each MPA described in MPA fact sheets, which contains general information on the MPA, management plans, species, biotopes, biotope complexes as well as pressures and human activities related to the MPA. The HELCOM MPA database can be access from http://mpas.helcom.fi Spatial data on areas of MPAs, described in a separate shapefile: http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/d27df8c0-de86-4d13-a06d-35a8f50b16fa The designation of HELCOM MPAs is based on the HELCOM Recommendation 15/5 (1994). The data contained in HELCOM MPA database is reported by HELCOM Contracting Parties and has been collected since 2007 to HELCOM BSPA (Baltic Sea Protected Areas) database. The database was updated to Oracle database solution in ECONET project during 2015 and gradually updated as new information becomes available. The content of HELCOM MPA database is verified annually in HELCOM State & Conservation meetings.

This dataset describes fishing intensity for Seine mobile bottom contacting gear in 2015 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.

The dataset represents urban land use (artificial surfaces) around the Baltic Sea coast. The dataset is constructed from CORINE Land Cover (CLC) 2018, Version 2020_20u1 (https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata) for EU countries and from Open Street Map (OSM) open source data for Russia. Attribute specification and units: Code_18: Class applied for CLC 2018 ID:CLC 2018 ID or OpenStreetMap ID Code: Nomenclature of the class source: "Corine" or "OSM"

Input data for the Navigation Safety Analytical Module on ReMAP project, created in 2024 and compiled from different data sources is provided. Below is further information on datasets applied for the module and original metadata. More information about the module and the project can be found at http://www.geoportal.ulpgc.es/remap/ The following datasets were directly collected from MADS and no modifications were applied: - Impulsive noise data points (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/088099de-f6b8-4a2f-aca0-bbe178318268) - Impulsive noise data polygons (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/088099de-f6b8-4a2f-aca0-bbe178318268) - Harbour porpoise importance map HOLAS 3 (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/cb250787-ae97-4452-9caa-eba9abe0ec4e) - Grey seal distribution HOLAS 3 (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/37ab54cc-1084-4bcd-a76d-2c2738491081) - Harbour seal distribution HOLAS 3 (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/37ab54cc-1084-4bcd-a76d-2c2738491081) - Ringed seal distribution HOLAS 3 (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/37ab54cc-1084-4bcd-a76d-2c2738491081) - Hazardous wrecks in the Baltic Sea (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/f3cfc0d8-d28b-4c5d-b9eb-f456d294e720) - Baltic Sea EBSAs (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/828468c6-dd88-408c-97d3-ce9c926681f0) The following datasets were directly collected from EMODnet and no modifications were applied: - MSP standardized data in with EMODnet data model (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/5d89d371-a52a-476b-92de-a423f6d2c15d) - EMODnet lighthouse (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/94d616f7-340d-4a67-a07c-dc54ec215cc3) - EMODnet MPA (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/8ee2d464-c628-4e4c-8308-be48a2da121e) - Vessel density EMODnet (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/0f2f3ff1-30ef-49e1-96e7-8ca78d58a07c) - Military area(https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/579e4a3b-95e4-48c6-8352-914ebae0ae1d) - EMODnet bathymetry (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/4f7ab468-f4b9-4c2c-8d3b-49a375cf9964) - EMODnet mean sea level (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/36821cff-56db-4e96-8426-ddfe68240c4b) - EMODnet aggregate extraction (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/fde45abd-7bf3-4f05-869c-d1ce77f4ac63) - EMODnet dredging (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/d3e86612-35a7-4c0f-a995-245062fd2792) - EMODnet wind farm (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/8201070b-4b0b-4d54-8910-abcea5dce57f) - EMODnet aquaculture (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/03c35b79-808f-4168-9d30-2de44a55a6f4 ; https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/55886bab-2932-4d6d-bfe3-06626b0172ab) - EMODnet main ports (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/379d0425-8924-4a41-a088-1a002d2ea748) - EMODnet offshore installations (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/ddbe3597-4e3f-4e74-8d31-947c4efef2e9) - EMODnet pipeline (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/aca3dd01-77ac-47fe-8291-6ca916daaa6d) - EMODnet dumped munition (https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/661aa259-8ea9-49ae-a39d-49685057b013) The following datasets were harmonized according to the module data model: - cables (original dataset on https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/9026b43c-7da8-4a8f-8854-4a4dba50fb12)

This dataset describes fishing intensity for Dredge 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.