HELCOM Metadata catalogue
HELCOM Metadata catalogue (Helcom)
Continents, countries, sea regions of the world.
This dataset contains modelled small vessel fuel consumption. This describes the geographical distribution of the fuel used by small boats. The total fuel consumption was modelled in SHEBA project to study emissions from pleasure boats. The model is based on locations and berths in marinas and leisure harbours, AIS information, statistics on fuel sale and extensive survey. For 2018 version the layer is weighted with depth, log-transformed and normalised (please see below). This dataset was also used on HOLAS 3.
Use constraints: Data can not be downloaded or used until further notice.
Access constraints: No limitations on public access.
The data was originally delivered by SHEBA project to HELCOM Secretariat during 2016. Data was further developed for 2018 version by the Finnish Environment Institute in 2017. Layer was weighted with the depth model: 0 - 2.0m = 100% class 2.1 - 3.0m = 75% class 3.1 - 4.0m = 50% class 4.1 - 5.0m = 25% class > 5.1m = 0% class The layer was log10-transformed and normalised. Attribute information: Index value representing the intensity of recreational boating. Spatial coverage: Entire Baltic Sea, excluding Limfjord. Spatial resolution: 1 km x 1 km grid. For additional information, please check: http://www.sheba-project.eu/
This dataset contains the most up-to-date reported data about monitoring hazardous substances - metals stations in the Baltic Sea.
Use constraints: HELCOM data can be used freely for non-commercial purposes. Users are requested to cite HELCOM as the data source when using downloaded datasets in publications.
This dataset was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. The dataset was collected during the HELCOM MORE project.
Observations of Larus melanocephalus 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. Larus melanocephalus has been placed to the Red List category of Endangered (EN) species. The map shows the species range only during breeding season.
Use constraints: Data can be used freely given that the source (HELCOM, 2012) is cited.
This dataset displays distribution of Larus melanocephalus according to HELCOM RED LIST assessment based on the following data sources: (Data from Herrmann / bird expert team of the HELCOM Red List project 2009-2013, published in 2012)
Risk of oil spills from illegal spills 2020 (BRISK)
This dataset depicts risk of oil spill from illegal spills. The modeled risk is calculated for the scenario year 2020 based on predicted shipping traffic density. The area of the bubbles corresponds to the risk of spill of oil and hazardous substances. The unit of the risk is average tonnes per year. This dataset has been produced by Albrecht Lentz, 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/). The dataset is a model result from a software code owned and operated by COWI. BRISK and BRISK-RU provide information on spatial distribution of risks of pollution from ships in the six sub-regions of the Baltic Sea, according to different types of accidents and spill sizes. The assessment takes into account the existing risk control measures as well as the prognosis for future maritime traffic. Groundings and ship-to-ship collisions are by far the most likely types of accidents resulting in pollution. Other kinds of incidents, such as fire, collisions with fixed objects, spills from offshore platforms, as well as illegal discharges have minor contribution to the risks. Further, the oil impact has been modelled. The oil impact can be described as the amount of spilled oil that is expected on the sea surface. The effects of oil drift, weathering and fate, as well as the oil recovery are taken into account. Field descriptions: LON: Longitude (center of ellipse) LAT: Latitude (center of ellipse) SPILLALL: Risk [average tonnes per year], sum of all spills. Used for visualization. SPILL12: Risk [average tonnes per year], small size spills. SPILL34: Risk [average tonnes per year], medium size spills. SPILL123: Risk [average tonnes per year], small & medium size spills. SPILL4: Risk [average tonnes per year], medium size spills. SPILL1234: Risk [average tonnes per year], small & medium size spills. SPILL567: Risk [average tonnes per year] large spills.
Use constraints: Data can be used freely given that the source is cited.
This dataset has been produced by Albrecht Lentz, 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/). The dataset is a model result from a software code owned and operated by COWI.
The dataset contains the location of oil refineries derived from the European Pollutant Release and Transfer Register (E-PRTR). The dataset covers all HELCOM Contracting Parties except Russia.
Use constraints: Data can be used freely given that the source is cited (following creative commons license CC-BY). The source should be cited as: “HELCOM HOLAS II Dataset: Oil refineries (2017)”.
The dataset contains the location of oil refineries downloaded from the European Pollutant Release and Transfer Register (E-PRTR, http://www.eea.europa.eu/data-and-maps/data/member-states-reporting-art-7-under-the-european-pollutant-release-and-transfer-register-e-prtr-regulation-12 The data was selected from E-PRTR Energy sector (Sector 1) based on attributes of “Main activity: Mineral oil and gas refineries” and “NACE activities: Manufacture of refractory products; Manufacture of gas; Manufacture of refined petroleum products” The dataset was created to be used in the HELCOM Baltic Sea Impact Index (BSII) for the HELCOM Second Holistic Assessment of the Ecosystem health of the Baltic Sea. The dataset was approved by all HELCOM Contracting Parties in the HOLAS II Human activities data review process during first quarter of 2017 after corrections.
Summary Estimated observations of the biotope AB.A1G3 and AB.M1G3 were collected from the Baltic Sea area by expert judgements for HELCOM Red List of biotopes, habitats and biotope complexes. Description Baltic aphotic rock and boulders or mixed hard and soft substrates dominated by stone corals (Scleractinida)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.A1G3and AB.M1G3according to HELCOM RED LIST assessment experts:The biotopes are restricted to the north Kattegat, where environmental conditions are nearly fully marine. The distribution map indicates the area in the 100 x 100 km grid where biotopes are known to occur. OCEANA (2013) encountered Carophylla smithii along the Swedish coast.(Data (expert judgements) collected in HELCOM RED LIST project, released in May 2013)
Use constraints: Data can be used freely given that the source (HELCOM, 2013) is cited.
ETRS-LAEA5210 is the recommended projection for reference grids by the European Environment Agency. Based on proposal at the "1st European Workshop on Reference Grids", this grid is the recommened grid for EEA grids. This reference grid is based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52° N, longitude of origin 10° E, false northing 3 210 000.0 m, false easting 4 321 000.0 m. Origin of grid is calculated from 0 m N 0 m E of projection. Parameters for grid calculation: start X-axis from origin: 0 m, start Y-Axis from origin: 700000 m, number of rows: 67 and number of columns: 84.
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 contains all dioxins stations by sub-basin in the Baltic Sea as reported to the HELCOM MORE project.
This dataset was collected by HELCOM Secretariat during the HELCOM MORE project and represents monitoring stations in the Baltic Sea. The dataset was collected and published at the beginning of 2013.The data came originally from the CORESET project. Contracting Parties were then asked to complete and check the info.
Fishing effort midwater trawl first quarter 2013
This dataset describes fishing effort (hours/c-square) for midwater trawl in first quarter of 2013 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - 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 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 Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
Use constraints: The data products derived from the advice are downloadable from HELCOM Map and Data serviceand can be used freely given that the source is cited. The correct data product citation is following: ICES. 2015. Fishing abrasion pressure maps for mobile bottom-contacting gears in HELCOM area. http://ices.dk/sites/pub/Publication%20Reports/Data%20outputs/HELCOM_mapping_fishing_intensity_and_effort_data_outputs_2015.zipWhen using the data for analysis/assessments the following caveats need to be taken into consideration:The methods for identifying fishing activity from the VMS data varied between countries; therefore there may be some country-specific biases that ICES cannot evaluate. Additionally, activities other than active towing of gear may have been incorrectly identified as fishing activity. This would have the effect of overestimating the apparent fishing intensity in ports and in areas used for passage.The data for 2012 and 2013 is not directly comparable to the data of previous years in the data call (2009–2011) due to the gradual increase in VMS-enabled vessels in the range of 12–15 m. This is likely to be most relevant when examining trends in effort for inshore areas.Many countries have substantial fleets of smaller vessels that are not equipped with VMS (The fishing abrasion pressure methodology is based on very broad assumptions in terms of the area affected by abrasion. A single speed and gear width was applied across each gear category in most cases, which can lead to both underestimates and overestimates in actual surface and subsurface abrasion.
HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - 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 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 Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
Distribution of Baltic seals - harbour seal 2018 (HOLAS 2)
This core indicator evaluates the state of the marine environment using distribution of the three species of seals that occur in the Baltic Sea. This dataset is for the Harbour seal. Quantitative thresholds are used to evaluate the core indicators status in "Achieve", "Fail" or "Not assessed". The core indicator has three components for each species: distribution of haul-out sites, breeding sites and foraging areas. Good status is achieved when the distribution of seals is close to pristine conditions (e.g. 100 years ago), or where appropriate when currently available haul-out sites are occupied (modern baseline), and when no decrease in area of occupation occurs. The current evaluation covers the assessment period 2011-2016. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). Attribute information: "HELCOM_ID" = ID of the HELCOM scale 2 assessment unit "Area (km2)" = Area of the HELCOM scale 2 assessment unit "Name" = Name of the HELCOM scale 2 assessment unit "Status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "AULEVEL" = Assessment unit level used for the indicator
Use constraints: Data can be used freely given that the source (HELCOM) is cited.
The national survey data is compiled annually by the HELCOM Seal Expert Group. A regional database has been developed and is hosted at the HELCOM Secretariat. The new database will include detailed spatial information and is to be updated annually prior to HELCOM Seal Expert Group meetings. The database will be managed by the HELCOM Secretariat having responsibility for updating and storing data provided by the HELCOM Seal Expert Group. The data collected and used in the indicator are based on national aerial surveys. The survey methodology is described in Galatius et al. (2014). This data covers only haul-out sites and not areas used e.g. as foraging grounds. This core indicator uses three different parameters for evaluating the distribution of the three species of seal that occur in the Baltic Sea. These parameters are: 1. distribution during breeding 2. distribution during moulting, which occurs on land or ice, where data is achieved by surveys from land and air in both cases 3. area of occupancy, which is the area used for foraging and transport. Data is given by satellite- and GSM tagging data All three components are evaluated for each species in the applicable areas. Good status is achieved if a species in a given area achieves the threshold values for all three parameters. If one parameter does not achieve the threshold value, then the result for the evaluation for the given species and area is not good status i.e. the OOAO approach Additional information: http://www.helcom.fi/baltic-sea-trends/indicators/distribution-of-baltic-seals/ Link to metadata of dataset used for indicator calculation: http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/c87c0884-951d-48d2-8938-5a90bb078a54