Summary Estimated observations of the biotope AE.O5 were collected from the Baltic Sea area by expert judgements for HELCOM Red List of biotopes, habitats and biotope complexes. Description Baltic Sea aphotic pelagic below halocline oxicThe HELCOM Red List of Baltic Sea underwater biotopes, habitats and biotope complexes (2013) is an updated and improved version of the Red List assessment of marine and coastal biotopes and biotope complexes published in 1998. The classification of the report follows the proposed International Union for Conservation of Nature (IUCN) criteria and assessment principals but with some modifications for the Baltic Sea.Altogether, the HELCOM Underwater Biotope and habitat classification (HELCOM HUB) includes 209 biotopes of which 59 were red-listed. Many of the red-listed biotopes are located in deep areas of the Baltic Sea due to oxygen-free nature as well as in the southwestern Baltic Sea due to the salinity restricted distribution of species in certain biotope. The HELCOM assessment relies heavily on expert judgment and inference, and the questionnaire data represents the estimated presence-absence data not in-situ measured data. This must be taken in account when observing the map presentation. The biotopes are shown on the map using the EEA 100 km grid. This dataset displays estimated presence of AE.O5 according to HELCOM RED LIST assessment experts:The distribution map indicates the area in the 100 x 100 km grid where biotope is known to occur. The habitat only makes up a section of the pelagic water mass in the area indicated by the map. The map is created based on the bathymetric data of the Baltic Proper. According to the depth contours, the grid indicated on the map include areas deeper than 60-80m.(Data (expert judgements) collected in HELCOM RED LIST project, released in May 2013)

This dataset describes fishing intensity for Otter mobile bottom contacting gear in 2016 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 all PAH stations by sub-basin in the Baltic Sea as reported to the HELCOM MORE project

This dataset contains results on HELCOM Assessment unit level 4b for water clarity. The information provided represents the data and results from the HELCOM HOLAS 3 indicator evaluation for eutrophication, covering the data period from 2016-2021. Data reported from national monitoring programmes to the HELCOM COMBINE database (hosted by ICES) is utilized for open sea assessment units. Open sea data extraction is carried out by ICES for in-situ (bottle) data creating the underlying assessment dataset [link ]. Coastal assessment units (WFD water types or water bodies) are assessed based on WFD result data reported by countries. Indicator analysis of both open sea and coastal areas is carried out using the HEAT assessment tool (https://github.com/ices-tools-prod/HEAT). This analysis provide the basis of the HELCOM indicator evaluations and are utilized in the HOLAS 3 thematic assessment of eutrophication. Attribute description: ES = Eutrophication Status ES_SD = Standard Deviation ES_N = Number of Observations ES_N_Min = Minimum Number of Observations any given year ES_SE = Standards Error ES_CI = Confidence Interval ET = Eutrophication Target / Threshold ER = Eutrophication Ratio ACDEV = Acceptable Deviation BEST = ET / (1 + ACDEV / 100) EQR = Ecological Quality Ratio EQR_HG = Ecological Quality Ratio High/Good Boundary EQR_GM = Ecological Quality Ratio Good/Moderate Boundary EQR_MP = Ecological Quality Ratio Moderate/Poor Boundary EQR_PB = Ecological Quality Ratio Poor/Bad Boundary EQRS = Ecological Quality Ratio Scaled GTC = General Temporal Confidence STC = Specific Temporal Confindence TTC = Total Temporal Confidence GSC = General Spatial Confidence SSC = Specific Spatial Confidence TSC = Total Spatial Confidence TC = Total Confidence

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

Observations of Clupea harengus 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. Clupea harengus 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).

This dataset describes fishing intensity for Otter mobile bottom contacting gear in 2013 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.

Observations of Hippuris tetraphylla 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. Hippuris tetraphylla has been placed to the Red List category of Endangered (EN) 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: 0 = no observations 1 = present before year 1995 or in 1995 2 = present after year 1995 3 = present before and after year 1995

Summary Estimated observations of the biotope AB.B1E4 were collected from the Baltic Sea area by expert judgements for HELCOM Red List of biotopes, habitats and biotope complexes. Description Baltic aphotic hard clay dominated by Astarte spp.The HELCOM Red List of Baltic Sea underwater biotopes, habitats and biotope complexes (2013) is an updated and improved version of the Red List assessment of marine and coastal biotopes and biotope complexes published in 1998. The classification of the report follows the proposed International Union for Conservation of Nature (IUCN) criteria and assessment principals but with some modifications for the Baltic Sea.Altogether, the HELCOM Underwater Biotope and habitat classification (HELCOM HUB) includes 209 biotopes of which 59 were red-listed. Many of the red-listed biotopes are located in deep areas of the Baltic Sea due to oxygen-free nature as well as in the southwestern Baltic Sea due to the salinity restricted distribution of species in certain biotope. The HELCOM assessment relies heavily on expert judgment and inference, and the questionnaire data represents the estimated presence-absence data not in-situ measured data. This must be taken in account when observing the map presentation. The biotopes are shown on the map using the EEA 100 km grid. This dataset displays estimated presence of AB.B1E4 according to HELCOM RED LIST assessment experts:Known from German and Polish waters in the Baltic Sea. Aphotic hard clay dominated by Astarte spp. occurs on the sills (thresholds) of the Slupsk Furrow that connects the Bornholm Deep with the Gotland Deep and Gdansk Deep. Distribution map indicates the area in the 100 x 100 km grid where biotope is known to occur.(Data (expert judgements) collected in HELCOM RED LIST project, released in May 2013)

MORS Environment monitoring stations This data set contains information about stations where HELCOM contracting parties monitor the concentrations of radioactive substance in seawater, sediment, fish, aquatic plants and benthic animals.The Data set was updated in May 2013 after MORS EG 3 2013 meeting according to modifications done in the MORS guidelines as requested by Sweden.