Constructed from EEA data on the status of bathing water. Downloaded from EEA homepage (http://www.eea.europa.eu/data-and-maps/data/bathing-water-directive-status-of-bathing-water-7). Contains information on the location and water quality of bathing sites 2011-2014. No data from Russia.

Dataset contains the largest oil terminals in the Baltic Sea and the volume of oil transported through. The dataset was updated for HELCOM Assessments in 2016. The statistics cover years 1997, 2000 - 2008 (where available), and 2011-2013. The statistics for 2011-2013 were derived from Baltic Port Lists published by Centre for Maritime Studies, University of Turku. The dataset was updated for HELCOM Assessments in 2016. Attribute specification and units: YEAR1997…YEAR2013: Total (million tonnes) oil and oil products transported through the terminal during referred year.

The dataset was created in order to update the information regarding underwater pipelines in the Baltic Sea Region for the HELCOM Assessments. Data was collected by the HELCOM Secretariat during 2015. The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Denmark, Germany, Finland and Poland. The report data represents constructions on respective territorial waters, authorized facilities and activities from 2015. The activity was declared as not relevant in Lithuanian area. From Estonia, Latvia, Lithuania, Russia and Sweden no data was reported. Attribute specification and units: NAME COUNTRY CAPACITY (MW) STATUS (Operational, Under Construction, Application Submitted, Planned, Unknown) SOURCE

This pressure dataset is derived from three human activities datasets - Urban land use (on land) - Recreational boating and sports (updated layer for 2018 version, please see separate http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/8c30e828-1340-4162-b7f9-254586ae32b6) - Bathing sites These data are described in more detail in separate fact sheets. Urban land use data was first converted to 1 km grid cells and expanded with 1 km. Thus, coastal urban areas extended also to the sea. These areas were given value 1 and other sea areas, value 0. Bathing sites (points) were converted to 1km grid and given value 1, rest of the sea areas were given value 0. Normalized recreational boating data was converted to 1 km grid cells. These three layers were summed to produce the layer (values from 0 to 3), after that the layer was normalized. Hunting and recreational fishing data were excluded from human disturbance layer, as they are mostly reported per country and would have resulted in overestimation of the actual pressure.

This dataset contains point data describing the location of oil platforms in the Baltic Sea. The dataset is complete in Baltic sea coverage as it contains two known oil platforms.

Data of fish farming facilities along the Baltic coast. Annual and average finfish production and nutrient load (total phosphorus and total nitrogen) is given, if known. The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Denmark, Finland, Germany and Sweden. The activity was declared as not relevant for Estonia, Latvia, Lithuania and Poland, thus there is no activity within those Contracting Parties. No data received from Russia. Nutrient inputs from fish farms in Denmark are calculated on the basis of production data. From Germany only the locations for the fish farming facilities are given. Information on the annual production and nutrient loads are confidential for reasons of competition and not accessible. Some numbers that were missing on nutrient input in Sweden have been calculated by SCB, Statistics Sweden (red numbers) based on average input/ amount produced fish. No exact area (km2) of the finfish mariculture was available, hence an estimate is given if been possible to calculate. Attribute specification and units: X_ETRS89: X coordinate point Y_ETRS89: Y coordinate point Subbasin: Baltic Sea sub basin Country: Country id (DK = Denmark, FI = Finland, SE = Sweden) County: County Name: Name of the fish farming company Comments: Notes regarding the data Area: Estimated area (km2) of finfish mariculture (value is given, if information was available) Pr_Sum_ton: Total (Sum) production in tonnes Pr_Av_ton: Average production (tonnes)/year P_Sum_ton: Total phosphorus load in tonnes P_Av_ton: Average phosphorus load (tonnes)/year N_Sum_ton: Total nitrogen load in tonnes N_Av_ton: Average nitrogen load (tonnes)/year Pr2011_ton – Pr2015_ton: Annual production (tonnes/year) P_2011_kg – P_2015_Kg: Annual phosphorus loading in kilograms (Kg P / year) N_2011_kg – N_2015_Kg: Annual nitrogen loading in kilograms (Kg N / year)

The pressure layer represents biological pressure caused by introduction of non-indigenous species. The data is obtained from core indicator Trend in the arrival of new non-indigenous species (BSEP 129b: http://www.helcom.fi/Lists/Publications/BSEP129B.pdf). For the Baltic Sea Impact Index, the layer was normalized.

Data set represents dredging activities around the Baltic Sea. The dataset contains information about the dredging activity and for some the type (capital, maintenance) and the year of activity as reported by HELCOM Contracting Parties in response to data request. The dredging data is missing from Denmark.

Data for Furcellaria harvesting presenting the amount of dredged tonnes per unit area per year. The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Estonia. The activity was declared as not relevant in Denmark, Germany, Finland, Latvia, Lithuania, Poland, Russia and Sweden. Attribute specification and units: Dredged_ar: Furcellaria dredging area (km2, ND = no data available) Area: Area (fishing area) within dredging occurs (km2), area do not represent actual dredging area. 2011 - 2015: Amount of dredged Furcellaria (tonnes / year) Total: Amount (Sum) of dredged Furcellaria during 2011-2015 (tonnes) Average: Calculated annual average of the amount of dredged Furcellaria (tonnes/year)

Potential cumulative impacts on benthic habitats is based on the same method than http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/9477be37-94a9-4201-824a-f079bc27d097, but is focused on physical pressures and benthic habitats. The dataset was created based on separate analysis for potential cumulative impacts on only the benthic habitats, as these are particularly affected by physical pressures. In this case the evaluation was based on pressure layers representing http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/ea0ef0fa-0517-40a9-866a-ce22b8948c88 and http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/05e325f3-bc30-44a0-8f0b-995464011c82, combined with information on the distribution of eight broad benthic habitat types and five habitat-forming species (http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/363cb353-46da-43f4-9906-7324738fe2c3, http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/f9cc7b2c-4080-4b19-8c38-cac87955cb91, http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/264ed572-403c-43bd-9707-345de8b9503c, http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/822ddece-d96a-4036-9ad8-c4b599776eca and http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/ca327bb1-d3cb-46c2-8316-f5f62f889090). The potential cumulative impacts has been estimated based on currently best available data, but spatial and temporal gaps may occur in underlying datasets. Please scroll down to "Lineage" and visit http://stateofthebalticsea.helcom.fi/cumulative-impacts/ for more info.