This dataset contains monitoring data reported by Contracting Parties of HELCOM to ICES DOME database and extracted for use in Hazardous substances indicators under the HELCOM Third Holistic Assessment of the Ecosystem Health of the Baltic Sea (HOLAS 3). Attribute specifications and units: series region l3area: HELCOM ID for HELCOM assessment units in scale 3 l4area: HELCOM ID for HELCOM assessment units in scale 4 country station_co: station code station_na: station name station_lo: station long name latitude: latitude longitude: longitude MSTAT WLYTP determinan: determinand determin_1: determinand group species matrix basis unit sex metoa series_typ: series type sym_shape colour n_year_all n_year_fit n_year_pos: n year positive first_year: first year all first_ye_1: first year fit last_year p_nonlinea p_linear p_overall p_linear_t: p linear trend linear_tre: linear trend p_recent_t: p recent trend recent_tre: recent trend detectable: detectable trend mean_last_: mean last year climit_las: climit last year BAC_type BAC_value BAC_diff BAC_achiev BAC_below EAC_type EAC_value EAC_diff EAC_achiev EAC_below imposex_cl: imposed class

The data set is spawning areas for fish with demersal eggs in the Baltic Sea area as polygon areas used for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). This dataset has been produced by COWI (http://www.cowi.dk) based on data collected from Poland and Russia and by COWI from polygons created from 10 m depth curve. The dataset includes data provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report.

This dataset represents the underlying data on core indicator 'Reproductive disorders: malformed embryos of amphipods 2018'. The core indicator evaluates the status of the marine environment based on the presence of hazardous substances in the bottom sediments. The rate of embryo malformations indicates reproductive toxicity due to the presence of hazardous substances in the bottom sediments. The threshold value has not been achieved on all stations within each basin indicating that toxic effects of contaminants may be present. The variability of the malformation rate is much greater within a basin than between the Bothnian Sea and the Baltic proper. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). Attribute information: "YEAR" = Year of sampling "Basin" = Subbasin abbreviation "REGION" = Region code within the Baltic Sea "STATN" = Station "Lat_WGS84d" = latitude coordinate of station "Lon_WGS84d" = longitude coordinate of station "TotalEmbry" = Total embryos "UNDIFFiren" = Undifferentiated "MALFORmed" = Malformed "MEMBraneDa" = Membrane damage "FemalesWME" = Females with malformed embryos "NofFemales" = Number of Females "AveFecundi" = Average Fecundity "STN" = "FFemWAE" = Frequency Females with aberrated embryos "FreqAberrE" = Frequency Aberrant Embryos "inGES_Fem" = inGES (Females) "inGES_Emb" = inGES (Embryos) "inGES_Over" = inGES (overall)

Areas where en-route dumping of chemical munitions is suspected to have occured while they were being transported to the designated dumpsite south of Little Belt. The southern entrance to the Little Belt is an area that was used by German troops and refugees for munitions disposal during the last days of WWII. This dataset illustrates that areas where, according to historical accounts, en-route dumping of chemical munitions is likely to have taken place on the way to the official designated dumping area. For more information, see the HELCOM MUNI report (2013): Chemical Munitions dumped in the Baltic Sea. http://www.helcom.fi/Documents/Ministerial2013/Associated%20documents/Background/Dumped%20chemical%20munitions%20in%20the%20Baltic%20Sea.pdf

A vector grid in 2 x 2 km resolution showing the environmental sensitivity and the underlying themes that have caused the final vulnerability in spring for the Baltic Sea area. This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Sensitivity map is based on datasets provided by the BRISK Project Partner organisations. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report. Field explanations: RS_SR: Rocky shores and stony reefs, Estuaries; Estuaries, Lagoons: Coastal lagoons, Bays: Shallow inlets and bays, Sandbanks: Underwater Sand banks, Beach: Sandy beaches, Seagrass: Sea grass, meadows, Spawning: Spawning area for fish with demersal eggs, Nursery: Nursery areas for fish on shallow water, Off_spawn: Offshore spawning areas for fish with pelagic eggs, Win_Birds: Wintering areas for sea and shore birds, Staging: Staging areas for migrating sea and shore birds, Breeding: Breeding areas for sea and shore birds, Moulting: Moulting areas for sea birds, Mammals: Marine Mammals, Protected: Protected areas, Aquacult:: Fish farms and aqua cultures, Sum: Weighted vulnerability index, Index: Not used Weighted vulnerability index is used to depict vulnerability for the Baltic Sea. Certain parameters have been used to map the environmental sensitivity to oil and each has been weighted for four seasons based on expert judgment. Two alternative sensitivity weighting matrices were also prepared in order to evaluate and validate the results. The sensitivity maps has been combined with the data on oil impact to model environmental damage, and to quantitatively compare the relative efect of the proposed new measures to reduce the risk, impact and damage of oil. Underlaying paramenters used in the vulnerability calculation can be obtained from HELCOM map service under Shipping\Risk Assessment (BRISK)\Environmental parameters -folder.

Observations of Somateria mollissima 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. Somateria mollissima has different populations for breeding and wintering seasons. Breeding population has been placed to the Red List category of Vulnerable (VU) species, whereas wintering population belongs to the category of Endangered (EN) species. The map shows the species range only during breeding season.

This dataset represents the underlying data on core indicator PCB, dioxin and furan. The core indicator evaluates the status of the marine environment based on concentrations of dioxin and dioxin like compounds in Baltic Sea fish, crustacean and molluscs as well as on concentrations of non-dioxin like PCB in Baltic Sea fish. Good status is achieved when the concentrations of PCB, dioxin and furan are below the threshold values. 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 subbasin "country" = country "station" = Unique code for the station "stationNam" = name for the station determinan = determinant parameter "detGroup" = the grouping of determinands used to display the results "species" = species of measurement "_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 "HQS" = Threshold value "HQSdiff" = difference between clLY and HQS "HQSbelow" = whether the mean value in the last monitoring year is significantly below HQS

Observations of Liparis liparis 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. Liparis liparis has been placed to the Red List category of Least Concern (LC) species. The map shows the subbasins in the HELCOM area where the species is known to occur regularly and to reproduce (HELCOM 2012)

Observations of Galeorhinus galeus 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. Galeorhinus galeus has been placed to the Red List category of Vulnerable (VU) species. The map shows the sub-basin in the HELCOM area where the species is currently known to occur as a rare visitor (HELCOM 2012). Tope shark occurred regularly in the Kattegat area in the 19th century.

This dataset describes fishing intensity for SDN DMF 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.