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  • This dataset contains points of information describing the location and size of spills of mineral oil observed during aerial surveillance flights by HELCOM Contracting Parties during 1998-2022. The data covers detections from fixed-wing aircraft only. Since 2014 Contracting Parties have also reported spills of other substances and unknown substances. The purpose of the regional aerial surveillance is to detect spills of oil and other harmful substances and thus prevent violations of the existing regulations on prevention of pollution from ships. Such illegal spills are a form of pollution which threatens the marine environment of the Baltic Sea area. Further information on detected spills in the Baltic Sea area and HELCOM aerial surveillance activities can be found at http://www.helcom.fi/baltic-sea-trends/maritime/illegal-spills/ and https://helcom.fi/action-areas/response-to-spills/aerial-surveillance/ The dataset contains the following information: Country Year Spill_ID = A unique code which will enable each individual spill to be individually identified FlightType = The type of flight the detection was made during: National = "N", CEPCO = "C", Super CEPCO = "SC", Tour d’Horizon = “TDH” Date = The date of the detection (dd.mm.yyyy) Time_UTC = The time of the detection in UTC (hh:mm) Wind_speed = The wind speed at the time of the detection (m/s) Wind_direc = The wind direction in degrees at the time of the detection (degrees) Latitude = The latitude of the detection (decimal degrees, WGS84) Longitude = The longitude of the detection (decimal degrees, WGS84) Length__km = The length of the detection (km) Width__km = The width of the detection (km) Area__km2_ = The area of the detection (km2) Spill_cat = Spill/pollution category: Mineral Oil = “Oil", Other Substance = "Other substance" , "Unknown substance" = “Unknown” EstimVol_m = If Spill_cat="Oil", then estimated min. volume of oil spill. Volume of the detection confirmed/observed as mineral oil as calculated using the Bonn Agreement Oil Appearance Code using the lower figure (BAOAC minimum) in m3. Vol_Category = Category of the detection: <0,1m3 = “1”, <0,1-1m3 = “2”, 1-10 m3 = “3”, 10-100 m3 = “4”, >100 m3 = “5” Type_substance = If Spill_cat="Other substance" or "Unknown. Product name or type of OS or GAR substances that could be identified (in case of known polluter, or via visual identification - cf. BAOAC Atlas). - Examples for OS: vegetable oils (palm oil sun flower oil, soya oil etc.), fish oil, molasses, various chemicals (methanol, biodiesels/FAME, toluene, paraffines etc.); Examples of GAR: solid cargo residues (e.g. coal residues), plastics, fish nets, … OR "Unknown" (in case the type of substance could not be identified) Polluter = Type of polluter source: Offshore Installation = “Rig”, Vessel = “Ship”, Other Polluter or source (e.g. land based source) = “Other”, Unknown = “Unknwon” (in case of an “orphan” spill that cannot be linked to a polluter) Remarks = Any additional information to inform on particular situations Description of marine litter sightings

  • Locations of the coastal protection structures. The dataset contains information about the coastal defence structure type and for some the structure length (m) and the year of construction. The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Denmark, Estonia, Germany, Finland, Poland and Sweden. The activity was declared as not relevant in Lithuanian area. From Latvia and Russia no data was reported. Attribute specification and units Country: Country Type: Modification structure type Const_year: Year of construction Estimated: Estimated date of completion if under construction (Estonia) or the year of environmental permit if year of construction is lacking (Finland) Out_of_use: Year when costal defence structure has been taken out of use Measure: Additional information about the modification structure Length: Length of the modified coastline (m) width: Width of the modification structure (m) Area: Area of the modification structure (km2) X_Lon: Original X (Longitude) coordinate point (Finland)

  • Constructed from EEA data on the status of bathing water. Downloaded from EEA homepage (http://www.eea.europa.eu/data-and-maps/data/bathing-water-directive-status-of-bathing-water-7). Contains information on the location and water quality of bathing sites 2011-2014. No data from Russia.

  • This dataset contains the ship accidents in the Baltic Sea during the period 1989 to end of 2020. It is constructed from the annual data collected by HELCOM Contracting Parties on ship accidents in the Baltic Sea and EMSA EMCIP Database exctraction (for those Contracting Parties that are member of the EU). The accident data has been compiled by the HELCOM Secretariat and EMSA. According to the decision of the HELCOM SEA 2/2001 shipping accident data compilation will include only so called conventional ships according to the Regulation 5, Annex I of MARPOL 73/78 - any oil tanker of 150 GT and above and any other ships of 400 GT and above which are engaged in voyages to ports or offshore terminals under the jurisdiction of other Parties to the Convention. According to the agreed procedure all accidents (including but not limited to grounding, collision with other vessel or contact with fixed structures (offshore installations, wrecks, etc.), disabled vessel (e.g. machinery and/or structure failure), fire, explosions, etc.), which took place in territorial seas or EEZ of the Contracting Party irrespectively if there was pollution or not, are reported. The dataset contains the following information: Country Year Latitude = Latitude (decimal degrees) Longitude = Longitude (decimal degrees) Cause_details = Details on the accident cause Offence = Offence against Rule Damage = Damage Assistance = assistance after the accident Pollution = Pollution (Yes/No) Date = Date (dd.mm.yyyy) Time = Time (hh:mm) Location = Location of the accidents (open sea / port approach / at port) Sh1_Categ = Ship 1 type (according to AIS category) Sh1_Type = Ship 1 more detail ship type category Sh1_Hull = Ship 1 hull construction Sh1Size_gt = Ship 1 GT Sh1Sizedwt = Ship 1 DWT Ship1Draug_m = Ship 1 draught in meters Sh2_Categ = Ship 2 type (according to AIS category) Sh2_Type = Ship 2 more detail ship type category Sh2_Hull = Ship 1 hull construction Sh2Size_gt = Ship 2 GT Sh2Sizedwt = Ship 2 DWT Ship2Draug_m = Ship 2 draught in meters Acc_type = Type of accidents Colli_type = Type of collisions Acc_Detail = More information on the accident Cause_Sh1 = Cause of accidents from ship 1 Cause_Sh2 = Cause of accidents from ship 2 HumanEleme = Reason of human error IceCondit = Ice conditions CrewIceTra = Crew trained for ice conditions Pilot_Sh1 = Presence of pilot on ship 1 Pilot_Sh2 = Presence of pilot on ship 2 Pollu_m3 = Pollution in m3 Pollu_t = Pollution in t Pollu_type = Type of pollution RespAction = Response actions after the accidents Add_info = Additionnal information Ship1_name = Ship 1 identification Ship2_name = Ship 2 identification Cargo_type = cargo type ship 1 For more information about shipping accidents in the Baltic Sea, see the HELCOM annual reports: https://helcom.fi/helcom-at-work/publications/ https://helcom.fi/media/publications/HELCOM-report-on-Shipping-accidents-in-the-Baltic-Sea-2019-211207-FINAL.pdf

  • This dataset contains data that was collected for the HELCOM report on Pharmaceuticals in the Baltic sea (http://helcom.fi/Lists/Publications/BSEP149.pdf). UNESCO and HELCOM, 2017 (to be published). Status report on pharmaceuticals in the Baltic Sea region. Baltic Sea Environment Proceedings No. 149. Partly funded by Interreg Baltic Sea Region (EU Strategy support through Policy Area Hazards). Financial support was provided by Interreg Baltic Sea Region, United Nations Educational, Scientific and Cultural Organization (UNESCO) and Swedish International Development Cooperation Agency (SIDA). The report was prepared as a case study for the UNESCO-IHP International Initiative on Water Quality (IIWQ) UNESCO project: Emerging Pollutants in Wastewater Reuse in Developing Countries. Case Studies on Emerging Pollutants in Water and Wastewater. The dataset contains compound name, species, biota matrix, concentrations and whether compound has been detected in the sample. This dataset presents a compilation of concentrations and effects of pharmaceuticals in the Baltic Sea marine environment based on data collected by all Baltic Sea states via working groups of the Helsinki Commission, HELCOM. Data collected between the years 2003 to 2014, from coastal, open sea and transitional areas, was received from Denmark, Estonia, Finland, Germany, Poland and Sweden. • 4600 individual data posts were included in the complete data set • 167 different pharmaceuticals have been measured and 74 of these were found in at least one of the sampling matrices (water, sediment, biota) • 51 different pharmaceuticals have been detected in water (of 148 measured) • 9 different pharmaceuticals have been detected in sediment samples (of 25 measured) • 35 different pharmaceuticals have been detected in biota samples (of 116 measured) • Pharmaceuticals from all drug classes were detected See HELCOM BSEP 149 report chapter ”3. Data collection methodology and data availability” for further information.

  • This dataset contains data that was collected for the HELCOM report on Pharmaceuticals in the Baltic sea (http://helcom.fi/Lists/Publications/BSEP149.pdf). UNESCO and HELCOM, 2017 (to be published). Status report on pharmaceuticals in the Baltic Sea region. Baltic Sea Environment Proceedings No. 149. Partly funded by Interreg Baltic Sea Region (EU Strategy support through Policy Area Hazards). Financial support was provided by Interreg Baltic Sea Region, United Nations Educational, Scientific and Cultural Organization (UNESCO) and Swedish International Development Cooperation Agency (SIDA). The report was prepared as a case study for the UNESCO-IHP International Initiative on Water Quality (IIWQ) UNESCO project: Emerging Pollutants in Wastewater Reuse in Developing Countries. Case Studies on Emerging Pollutants in Water and Wastewater. The dataset contains compound name, species, biota matrix, concentrations and whether compound has been detected in the sample. This dataset presents a compilation of concentrations and effects of pharmaceuticals in the Baltic Sea marine environment based on data collected by all Baltic Sea states via working groups of the Helsinki Commission, HELCOM. Data collected between the years 2003 to 2014, from coastal, open sea and transitional areas, was received from Denmark, Estonia, Finland, Germany, Poland and Sweden. • 4600 individual data posts were included in the complete data set • 167 different pharmaceuticals have been measured and 74 of these were found in at least one of the sampling matrices (water, sediment, biota) • 51 different pharmaceuticals have been detected in water (of 148 measured) • 9 different pharmaceuticals have been detected in sediment samples (of 25 measured) • 35 different pharmaceuticals have been detected in biota samples (of 116 measured) • Pharmaceuticals from all drug classes were detected See HELCOM BSEP 149 report chapter ”3. Data collection methodology and data availability” for further information.

  • The dataset contains coastal defence and flood protection data that was made available by HELCOM Contracting Parties in response to a data call. Data were collected by the HELCOM Secretariat in 2022. Data were reported by Denmark, Finland, Germany, Poland and Sweden. For Latvia, the dataset was classified as no data available. Estonia and Sweden requested the use of HOLAS 2 data. HOLAS 2 data was also used to complement data from Poland and Denmark. Attribute specification and units with predefined values specified from the data call Name: name of the structure for polygon format Zone: Location of the site for line format Type: Type of structure (sea walls, breakwaters, groynes, flood protection, gabions, stone protection, dike, other) Year: Year of construction, especially if built between 2016-2021 Status: Status of the structure harmonized with the values from a predefined list (operational, under construction, application submitted, planned, approved, other), and following a precautionary approach that attributed the value operational for values that were out of the predefined list Dimension: Spatial dimensions of the structure in m2 Notes: notes regarding the reported data and HOLAS 2 data indication. Status_original: original status declared by the Contracting Parties

  • 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 contains data that was collected for the HELCOM report on Pharmaceuticals in the Baltic sea (http://helcom.fi/Lists/Publications/BSEP149.pdf). UNESCO and HELCOM, 2017 (to be published). Status report on pharmaceuticals in the Baltic Sea region. Baltic Sea Environment Proceedings No. 149. Partly funded by Interreg Baltic Sea Region (EU Strategy support through Policy Area Hazards). Financial support was provided by Interreg Baltic Sea Region, United Nations Educational, Scientific and Cultural Organization (UNESCO) and Swedish International Development Cooperation Agency (SIDA). The report was prepared as a case study for the UNESCO-IHP International Initiative on Water Quality (IIWQ) UNESCO project: Emerging Pollutants in Wastewater Reuse in Developing Countries. Case Studies on Emerging Pollutants in Water and Wastewater. The dataset contains compound name, species, biota matrix, concentrations and whether compound has been detected in the sample. This dataset presents a compilation of concentrations and effects of pharmaceuticals in the Baltic Sea marine environment based on data collected by all Baltic Sea states via working groups of the Helsinki Commission, HELCOM. Data collected between the years 2003 to 2014, from coastal, open sea and transitional areas, was received from Denmark, Estonia, Finland, Germany, Poland and Sweden. • 4600 individual data posts were included in the complete data set • 167 different pharmaceuticals have been measured and 74 of these were found in at least one of the sampling matrices (water, sediment, biota) • 51 different pharmaceuticals have been detected in water (of 148 measured) • 9 different pharmaceuticals have been detected in sediment samples (of 25 measured) • 35 different pharmaceuticals have been detected in biota samples (of 116 measured) • Pharmaceuticals from all drug classes were detected See HELCOM BSEP 149 report chapter ”3. Data collection methodology and data availability” for further information.