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  • This dataset contains the ship accidents in the Baltic Sea during the period 1989 to 2017. It is constructed from the annual data collected by HELCOM Contracting Parties on ship accidents in the Baltic Sea. The accident data has been compiled by the HELCOM Secretariat. 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: http://www.helcom.fi/action-areas/shipping/publications/

  • This dataset contains integrated eutrophication status assessment 2011-2016. The assessment is done using the HEAT 3.0 by combining assessment unit-specific results from various indicators by three MSFD criteria groups (C1: Nutrient levels, C2: Direct effect, C3: Indirect effect). The assessment is done on HELCOM Assessment Unit level 4: HELCOM Subbasins with coastal WFD water type or water bodies. The HEAT 3.0 has been applied for open sea assessment units using HELCOM core indicators and for coastal areas using national WFD indicators. In case of Denmark, the WFD results were used directly, displaying different classification as obtained from HEAT. For more information about the methodology, see the State of the Baltic Sea report and HELCOM Eutrophication assessment manual. Attribute information: "HELCOM_ID": ID of the HELCOM Level 4 Assessment unit "Country": Country/ Opensea "level_2": Name of the HELCOM Level 2 Assessment unit "Name": Name of the HELCOM Level 4 Assessment unit "Area_km2": Area of assessment unit "C1_N": MSFD criteria 1, number of indicators used for calculating Eutrophication Ratio (ER) "C1_ER": MSFD Criteria 1, ER "C1_SCORE": MSFD Criteria 1, Confidence of ER "C2_N": MSFD Criteria 2, number of indicators used for calculating ER "C2_ER": MSFD Criteria 2, ER "C2_SCORE": MSFD Criteria 2, Confidence of ER "C3_N": MSFD Criteria 3, number of indicators used for calculating ER "C3_ER": MSFD Criteria 3, ER "C3_SCORE": Criteria 3, Confidence of ER "N": Number of criteria used for calculating overall ER "ER": Overall ER "SCORE": Status confidence "STATUS": Status classification (Good (classes 0-0.5 & 0.5-1.0), Not Good (classes 1.0-1.5, 1.5-2.0 & >2.0), Not assessed) "CONFIDENCE": Final confidence class (< 50% = low, 50-74 % = Moderate, = 75 % = High) "AULEVEL": Level of assessment units

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    The Rock Geochemical Database of Finland data set describes the concentrations of major and trace elements in the bedrock of Finland. In all, 6544 samples were analysed for the total and partial concentrations of 57 elements using several different methods (XRF, ICP-MS, ICP-AES, GFAAS). The samples were taken during 1990-1995 with a mini-drill from rock that was as unaltered as possible. The sampling density varies between one sample per 30 km2 and one sample per 120 km2. The chemical analyses of the data were performed during 1992-2001. The reproducibility of the analytical results and the analytical drift were estimated using 375 duplicate sample pairs. The lowest reliable concentration was determined for each element and analytical method. In addition to the chemical concentrations, the database contains spatial data and several geological attributes for each sample. The data set and its manual were published in 2007 and they are available via the web site of the Geological Survey of Finland (GTK).

  • The Regional Stream Sediment Geochemical Mapping data set gives information on the elemental concentrations in organic sediments of small headwater streams. The samples have been taken from small headwater streams (catchment area under 30 km2) in the late summer of 1990. Sampling has been repeated for about every fourth point during the years 1995, 2000 and 2006. The number of samples was 1162 in 1990 (at a density of one sample/300 km2), 286 in 1995, 286 in 2000 and 249 in 2006. The data set covers the whole of Finland. Stream water samples have also been taken at the same time. Sampling, processing and analysis methods have been described in the Geochemical Atlas of Finland, Part 3, p. 27-30 (Lahermo et. al 1996). Field observations, coordinates and element concentrations determined from samples have been made into a database, in which each record represents one sample point. The data for each sampling year have been recorded on different tables. The method of analysis is referred to with a four-character method code. The codes are as follows: 503H = mercury determination using the cold vapour method 503P = nitric acid extraction in a microwave oven, measurement with ICP-AES 503M = nitric acid extraction in a microwave oven, measurement with ICP-MS 820L = carbon, hydrogen and nitrogen determination with a LECO analyser. The element concentration data include a numerical concentration value (as mg kg-1 or ppm) and possibly a check mark. The concentration is recorded as a variable, which has a name that comprises the chemical symbol for the element and the code for the method of analysis. For example AS_503M is arsenic (As) concentration, which is determined with the ICP-MS method (503M). The next variable has a check mark, for example AS_503MT. If the numerical value following the check mark is ‘>’ or '‘<’ then the number recorded in the concentration field is the determination limit of the chemical analytical method used and the actual concentration is less than this value. If the check mark is an exclamation mark (!), the analytical result is smaller than the determination limit of the analytical method use but the (unreliable) value obtained with the measuring instrument has been entered in the database. There is no data are if the check mark is a 'x'. The original purpose of the Regional Stream Sediment Geochemical Mapping data set was national general geochemical mapping and the basic assessment of environmental state. Other uses are, for example, the assessment of changes in environmental state and determination of the baseline concentrations of stream sediments.

  • This dataset represents the Integrated biodiversity status assessment for fish used in State of the Baltic Sea – Second HELCOM holistic assessment 2011-2016. Status is shown in five categories based on the integrated assessment scores obtained in the BEAT tool. Biological Quality ratios (BQR) above 0.6 correspond to good status. The assessment is based on core indicators of coastal fish in coastal areas, and on internationally assessed commercial fish in the open sea. The open sea assessment includes fishing mortality and spawning stock biomass as an average over 2011–2016. Open sea results are given by ICES subdivisions, and are not shown where they overlap with coastal areas. Coastal areas results are given in HELCOM Assessment unit Scale 3 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas) Attribute information: "COUNTRY" = name of the country / opensea "Name" = Name of the coastal assessment unit, scale 3 (empty for ICES open sea units) "HELCOM_ID" = ID of the HELCOM scale 3 assessment unit (empty for ICES open sea units) "EcoystemC" = Ecosystem component analyzed "BQR" = Biological Quality Ratio "Conf" = Confidence (0-1, higher values mean higher confidence) "Total_indi" = Number of HELCOM core indicators included (coastal assessment units) "F__of_area = % of area assessed "D1C2" = MSFD descriptor 1 criteria 2 "Number_of" = Number of open sea species included "Confidence" = Confidence of the assessment "BQR_Demer" = Demersal Biological Quality Ratio "F_spec_Deme" = Number of demersal species included "Conf_Demer" = Confidence for demersal species "BQR_Pelagi" = Pelagic Biological Quality Ratio "F_specPela" = Number of pelagic species included "Conf_Pelag" = Confidence for pelagic species "ICES_SD" = ICES Subdivision number "STATUS" = Integrated status category (0-0.2 = not good (lowest score), 0.2-0.4 = not good (lower score), 0.4-0.6 = not good (low score), 0.6-0.8 = good (high score, 0.8-1.0 = good (highest score))

  • KUVAUS Herkät vesistöt, joiden rajaus on luotu Viherkertoimen käyttöä varten. Aineisto perustuu hulevesiohjelmassa määritettyihin osavaluma-alueisiin, joiden avulla aineisto on rajattu. Näillä alueilla huleveden laadulliseen hallintaan on kiinnitettävä erityistä huomiota. Hulevesiohjelmaan liittyvän aineiston lisäksi rajausta on arvioitu asiantuntijoiden toimesta. Viherkerroinmenetelmä on ekologinen suunnittelutyökalu tonttien viherpinta-alan arviointiin. Viherkerroinmenetelmän avulla etsitään vaihtoehtoisia ratkaisutapoja kaupunkivihreän lisäämiseen sekä hulevesien hallintaan. KATTAVUUS; PÄIVITYS; LUOTETTAVUUS Aineisto on laadittu viherkertoimen käyttöön ja päivittyy tiedon tarkentuessa. YLLÄPITOSOVELLUS; KOORDINAATISTOJÄRJESTELMÄ; GEOMETRIA; SAATAVUUS; JULKISUUS Laadittu MapInfossa. Aineisto tallennetaan ETRS-GK24 (EPSG:3878) tasokoordinaattijärjestelmässä. Aluemuotoista tietoa. Aineisto on saatavilla WFS rajapinnalta, aineisto on tallennettu Oracle-tietokantaan. YHTEYSHLÖ Sanna Markkanen JULKISUUS Sisäisesti julkinen

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    Lack of spatial soil data in digital form has been a primary obstacle in establishing European policies on land use and environmental protection. Abundant data on soil characteristics exist in Finland but have been scattered among various sources, making it difficult for authorities to make country-wide presentations and predictions.The objective of the project was to create georeferenced soil map and database according to the instructions of the European Soil Bureau using data from existing databases and collecting some new data. The basis of the work was a geological map of quaternary deposits, which describes the soil at a depth of 1 metrem (parent material) according to the Finnish classification based on the concentration of organic matter and the texture of mineral material. Primary research topics included generalization methodology of soil polygons with GIS technology, calculation of soil characteristics needed in the database and computerizing the existing non-digital soil information. It was proved that aerial geophysics can be used for separation of shallow peats from deep peat soils and muddy soils and other wet areas can be identified. Soil names according to the FAO/Unesco system and the World Reference Base for Soil Resources (WRB-2014) were derived from the soil names of the Finnish soil classification system and geophysical data. Soilscape (Soil Mapping Units) of Finland with WRB-2014 soil classification, intented to be used in European scale e.g to delineate risk areas mentioned in soil framework directive proposal.

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    NLS-FI INSPIRE Administrative Units Theme Dataset is a dataset depicting Administrative Units covering the land area and Maritime Units covering the sea area of Finland. Administrative Units contain the following INSPIRE feature types: AdministrativeUnit, AdministrativeBoundary. Maritime Units contain the following INSPIRE feature types: Baseline, MaritimeZone, MaritimeBoundary. Administrative Units are updated once a year from the NLS Cadastral Index Map database. Maritime Units are quite stable and have no regular update cycle. The dataset is available via the NLS-FI INSPIRE Download Service (WFS) for Administrative Units Theme and it can be viewed via the NLS-FI INSPIRE View Service (WMS) for Administrative Units.

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    VRK INSPIRE Addresses Theme Dataset is a dataset depicting the Addresses of Buildings in Finland. It contains the following INSPIRE feature types: Address, AdminUnitName, PostalDescriptor, ThoroughfareName. The elements are updated weekly. The dataset is based on "Väestötietojärjestelmän rakennus- ja huoneistotiedot" by the Population Register Centre (Väestörekisterikeskus). The dataset is available via the VRK INSPIRE Download Service (WFS) for Addresses Theme and it can be viewed via the VRK INSPIRE View Service (WMS) for Addresses.

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    VRK INSPIRE Buildings Theme Dataset is a dataset depicting the Buildings covering the whole of Finland. It contains the following INSPIRE feature types: Buildings The elements are updated weekly. The dataset is based on "Väestötietojärjestelmän rakennus- ja huoneistotiedot" by the Population Register Centre (Väestörekisterikeskus). The dataset is available via the VRK INSPIRE Download Service (WFS) for Buildings Theme and it can be viewed via the VRK INSPIRE View Service (WMS) for Buildings.