Physical loss pressure layer combines all human activities that cause physical loss of seabed. The pressure is given as area lost in each cell (km2). For the polygon datasets the area was assumed to be the lost area. For line and point datasets spatial extents were calculated with buffers (below in brackets). If no buffer extent is indicated, the data was reported as polygon. The human activities used for the physical loss pressure: Land claim - Area of polygon or 50 m buffer for points, 30m buffer for lines. Area of polygon - buffered line or point data, equals lost area. Watercourse modification - 50 m buffer. Area of polygon, buffered line or point data, equals lost area. Coastal defence and flood protection - 50 m buffer for lines, area of polygon. Area of polygon, buffered line or point data, equals lost area. Extraction of sand and gravel - Area of polygon. Area of polygon equals lost area. Dredging (capital) - Area of polygon or a 25/50 m buffer for <5000 m3 / >5000m3 sites. Area of polygon, buffered line or point data, equals lost area. Oil platforms - 25 m buffer. Buffered point data, equals lost area. Pipelines - 15 m buffer around cables with operational status. Area of polygon, buffered line or point data, equals lost area. Wind farms - 30 m buffer around each turbine with operational status. Buffered point data, equals lost area. Cables - 1.5 m buffer around cables with operational status. Buffered line data, equals lost area. Harbours - Polygon with 200 m buffer. Area of polygon, buffered line or point data, equals lost area. Marinas and leisure harbour - Point with 200 m buffer. Buffered point data, equals lost area. Bridges - 2 m buffer. Buffered line data, equals lost area. Finfish mariculture - 150 m buffer. Buffered point data, equals lost area. Shellfish mariculture - Area of polygon, 150 m buffer for points. Buffered point data, equals lost area. Activities are combined and potentially overlapping areas are removed. Dataset is clipped with coastline. Combined layer is intersected with 1 km grid to calculate % of area lost within a cell.

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 data set was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. This data set contains all phytoplankton stations in the Baltic Sea as reported to the HELCOM MORE project. It was collected and published at the beginning of 2013.The data came originally from the CORESET project. Contracting Parties were then asked to complete and check the info.The data set was updated in 18 February 2015 with Finnish and Swedish monitoring stations reported by the end of 2014 as requested in HELCOM STATE 1-2014 meeting. This dataset was updated in December 2020 with new data from Finland.

This dataset represents the underlying sediment data on core indicator TBT and imposex. The core indicator evaluates the status of the marine environment based on concentrations of the tributyltin (TBT) and its breakdown products dibutyltin (DBT) and monobutyltin (MBT) in the Baltic Sea; in water, biota (mussels, marine gastropods) and sediments. Imposex effects of TBT on marine gastropods are used as another source of data on TBT. Quantitative thresholds are used to evaluate if core indicators status is Achieve, Fail or Not assessed. Good status is achieved when the concentrations of TBT are below the threshold value. 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: "region" = name of region "country" = country "station" = Unique text that identifies the station "stationNam" = name for the station "determinan" = determinant parameter "detGroup" = the grouping of determinands used to display the results "_shape" = shape used to map assessment results "colour" = colour used to map assessment results "l3area" = HELCOM assessment unit on scale 3 "l4area" = HELCOM assessment unit on scale 4 "nyall" = total number of years of data "nyfit" = number of years of data used in the assessment "nypos" = number of years with at least one measurement above the limit of detection "lastyear" = most recent year of data "prtrend" = the significance of the change over the most recent 20 years; for the assessment conducted in November 2017 and published in June 2018, this is the period 1996-2016 "rtrend" = annual ‘linear’ change over the most recent 20 years "meanLY" = fitted value in last monitoring year "clLY" = upper one-sided 95% confidence limit on fitted value in last monitoring year "EQS" = Threshold value "EQSdiff" = difference between clLY and EQS "EQSbelow" = whether the mean value in the last monitoring year is significantly below EQS

The extraction of Sprat data set is based on: 1. http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/1fb1bd2d-8dff-493a-9ed3-a278aec8f371 for years 2011-2016 reported per ICES statistical rectangles (tonnes / ICES rectangle). Landing values were redistributed within each ICES rectangle by the c-square fishing effort data provided by ICES (all gears, 2011-2013). Tonnes / km² was calculated and the results were converted to 1 km x 1 km grid cells. The layer was log-transformed and normalised to produce the final pressure layer on extraction of Sprat. Please see "lineage" section below for further details on attributes, data source, data processing, etc.

Created from EEA data, this dataset contains point data with the location of bathing sites downloaded from EEA (https://www.eea.europa.eu/data-and-maps/data/bathing-water-directive-status-of-bathing-water-13). No data from Russia. Attributes specification and units countryCod: International Country Code (ISO 3166-1-Alpha-2 code elements) bathingWat: Bathing water name reported by a Member State specialise: Specialised zone type lon: Longitude lat: Latitude bwProfileU: Hyperlink to documents or web pages with bathing water profile, if available

This dataset describes fishing intensity for subsurface 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.

This dataset contains depositing sites reported by HELCOM EG DREDS. The depositing sites are grouped by spatial data type to pointwise, line, and polygon datasets. Data covers the years 2016-2021. Attribute specifications and units 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 original_dreda: capital or maintenance as reported by the Contrasting Party

Observations of Cryptonatica affinis 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. Cryptonatica affinis has been placed to the Red List category of Data Deficient (DD) species. Dataset for download contains spatial grid of the Baltic Sea. Distribution of the species can be found in corresponding name column. Values are coded: 1 - Present before year 2000 or in 2000, 2 - Present after year 2000, 3 - Present both before and after year 2000.

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