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.

This dataset represents the underlying data on core indicator Abundance of waterbirds in the breeding season 2018. The data is resulting from a data call carried out by HELCOM for State of the Baltic Sea report. Attribute information: "YEAR" = Year of the observation "SPECIES" = Species accepted scientific name "ABUNDANCE" = Abundance count "Country" = Country of observation "SITECODE" = Unique site code

This dataset describes fishing intensity for Otter mobile bottom contacting gear in 2010 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 Lebetus guilleti 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. Lebetus guilleti has been placed to the Red List category of Data Deficient (DD) species. The map shows the sub-basins in the HELCOM area where the species is known to occur regularly and to reproduce (HELCOM 2012).

Observations of Cliona celata 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. Cliona celatahas been placed to the Red List category of Vulnerable (VU) 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 deposition of substances resulting from shipping modelled in EMERGE Project (https://emerge-h2020.eu/) by FMI using SILAM model. The model output is annual mean deposition rate in mg/(m2*year) per raster cell. Shipping contribution was calculated from the difference of two model runs, one with shipping emissions, and other one without the shipping contribution. Both dry and wet deposition was taken into account. For nitrogen containing substances, deposition mass is mass of Nitrogen (N) within the substances. For sulphates, deposition mass is mass of Sulphur (S) within the substances. For PM2.5, Cd, Pb deposition mass is total mass of the substance in question. Nitrogen containing substances consists of SILAM model species: NO, NO2, Aerosol nitrates (NH4NO3 and coarse nitrates NO3_c), NH3, HNO3, HONO, N2O5, HNO4 (PNA), Peroxyacetyl nitrate (PAN), C3 and higher peroxyacyl nitrates (PANX), organic nitrates (NTR), (NH4)1.5SO4. Other substances covered in deposition modelling outputs are SO4, PM2.5, Lead and Cadmium. Resolution of the original SILAM dataset is 0.05 x 0.05 degrees in lat-lon coordinate-system (WGS84). The cite to the source dataset is the following: Hänninen, R., Sofiev, M., Uppstu, A., Kouznetsov, R., and Palamarchuk, J. (2024). Shipping contribution to European air quality and depositions, both in 2018 and in two future scenarios for 2050, modelled by SILAM CTM [Data set]. Finnish Meteorological Institute. https://doi.org/10.57707/FMI-B2SHARE.6220D9EFFBA84B6E8EF9BF497AA62041 For further information on methodology, see e.g. EMERGE reports D5.3 and D5.4 The dataset contains current total annual deposition per grid cell calculated for 2018 and change compared between 2018 and modelled EMERGE Scenarios 3 and 8 for year 2050. Thus, negative raster values in Scenarios 3 or 8 is resulting from decrease of deposition according to SILAM model outputs. Scenario descriptions: 2050 Scenario 3: Scenario 3 is a high-pressure scenario. The maritime transport development is High, there are no further measures to reduce the use of fossil fuels in shipping other than those already decided today, there is High use of scrubbers and high use of SCR. In this scenario there is thus a significant pressure on the environment from scrubber water and also high emissions of NH3 from the use of SCR as well as high emissions of CO2. SECA and NECA are introduced in all European sea areas. 2050 Scenario 8: Scenario 8 is an LNG scenario. High development in ship traffic is assumed, measures are in place to reach the IMO 50% goal, low use of scrubbers, and low use of SCR. This dataset is a collection for raster files outputted from SILAM NetCDF outputs. For 2018 emissions, deposition from shipping per grid cell is used. For 2050, change from 2018 is described in maps. Thus negative values induce reductions in deposition.

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.

This dataset contains all heavy metal monitoring station locations, observed matrix, biota matrix and monitored species as reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.

Observations of Triglopsis quadricornis 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. Triglopsis quadricornis 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 contains all PBDE in biota monitoring station locations, observed matrix, biota matrix and monitored species as reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.