Shellfish production in kilograms in 2010-2015 in geometry form: area (polygon). Swedish data covers only the permitted production in year 2015 (Swedish data in the point dataset). The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Denmark (area), Germany (points) and Sweden (points). The activity was declared as not relevant in Estonia, Finland, Latvia, Lithuania, Poland and Russia. Attribute specification and units ID: Mariculture identification (DK) NR: Identification number (DK, mariculture permits) Country: Country AVG_all: A calculated average of production in 2010-2015 (Kg/year) AVG_11_15: A calculated average of shellfish production in 2011-2015 (Kg/year) 2010_Kg – 2015_Kg: An annual shellfish production (Kg) Area: Area of the shellfish mariculture (km2)

Broad-scale habitat maps for the Baltic Sea have been produced in the EUSeaMap project in 2016. For German and Estonian marine areas, national (more accurate) datasets were used. German data included both substrate and light information (division into infralittoral/circalittoral). Estonian data included only substrate and the division into light regimes was obtained from the EuSeaMap data. Here, the habitat class “infralittoral mud” includes classes “Fine mud”, “Mud to sandy mud” and “Sandy mud” of the original data, in the infralittoral zone. The original polygon maps have been converted to 1 km x 1km grid. The scale of the substrate data used in broad-scale habitat maps varies from 1:250 000 to 1:1M (data from EMODnet Geology). Coarser resolution data has been used in areas, where 1: 250 000 substrate data has not been available. Due to different scales used, the habitat classes may show different sized patterns in different areas.

Dataset represents the radioactive discharges from nuclear facilities in the Baltic Sea area. Data includes isotopes CS137, CO60 and SR90 Aquatic discharges in 2011-2014 with decay corrections.

The occurrence of suitable nursery habitats is crucial for maintaining fish populations (Sundblad et al. 2013). For perch, species distribution modelling studies (Snickars et al. 2010, Bergström et al. 2013, Sundblad et al. 2013) have shown the importance of suitable environmental conditions for reproduction. Due to lack of coherent data on perch spawning and nursery areas across the Baltic Sea countries, environmental variables were used in delineating potential recruitment areas for perch. The distribution area or perch recruitment is delineated by selecting areas where depth < 4 m (For Danish waters < 3 m), logged exposure < 5 (exposure model described in Isæus 2004), and salinity < 10 PSU. The threshold values have been obtained from literature (Snickars et al. 2010, Bergström et al. 2013, Skovrind et al. 2013, Sundblad et al. 2013). Relatively “loose” thresholds have been used, to rather overestimate than underestimate the recruitment area (precautionary approach). Along the Finnish coastline a national model has been used (Kallasvuo et al. 2016), with suitable environments for perch recruitment generalized to 1 km x 1 km grid.

This dataset includes assessment units in scale 4. HELCOM Subbasins with coastal WFD water types of water bodies 2022 (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) as defined in the http://www.helcom.fi/Documents/Action%20areas/Monitoring%20and%20assessment/Monitoring%20and%20assessment%20strategy/Monitoring%20and%20assessment%20strategy.pdf.

Regional hunting numbers for Ringed seals 2011-2014.

This dataset contains all heavy metal monitoring station locations where sediment is samples are analyzed as reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.

Broad-scale habitat maps for the Baltic Sea have been produced in the EUSeaMap project in 2016. For German and Estonian marine areas, national (more accurate) datasets were used. German data included both substrate and light information (division into infralittoral/circalittoral). Estonian data included only substrate and the division into light regimes was obtained from the EuSeaMap data. Here, the habitat class “circalittoral hard substrate” includes classes “Rock and other hard substrate” and “Coarse substrate” of the original data, in the circalittoral zone. The original polygon maps have been converted to 1 km x 1 km grid. The scale of the substrate data used in broad-scale habitat maps varies from 1:250 000 to 1:1M (data from EMODnet Geology). Coarser resolution data has been used in areas, where 1: 250 000 substrate data has not been available. Due to different scales used, the habitat classes may show different sized patterns in different areas.

This dataset contains all dioxins in sediments monitoring station locations as reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.

This dataset contains all heavy metal monitoring station locations where seawater samples are analysed. The information is based on data reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.