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FIN Aineiston tarkoituksena on: -Identifioida tie- ja rata-alueet, joiden varrella esiintyy uhanalaisia ja silmälläpidettäviä lajeja -Identifioida tie- ja rata-alueet, joiden varrella esiintyy hyviä elinvoimaisia niittyindikaattorilajeja (hyönteisten mesi- ja ravintokasveja) -Identifioida tie- ja rata-alueet, joiden varrella esiintyy suojelualueita -Identifioida tie- ja rata-alueet, joiden varrella esiintyy komealupiinia tai kurtturuusua -Identifioida tie- ja rata-alueet, joiden varrella esiintyy komealupiinia tai kurtturuusua uhanalaisten lajien lisäksi -> Löytää herkät alueet ja paikallistaa vieraslajien uhka Tieto esitetään 1 kilometrin ruuduissa. Aineistosta on julkaistu kaksi erillistä versiota. -VaylanvarsienVieraslajitJaArvokkaatElinymparistot_avoin: Avoin versio, jonka lajitietoa on karkeistettu mahdollisista herkistä lajeista johtuen. Aineisto kuuluu SYKEn avoimiin aineistoihin (CC BY 4.0) ja sitä saa käyttää lisenssiehtojen mukaisesti -VaylanvarsienVieraslajitJaArvokkaatElinymparistot_kayttorajoitettu: Alkuperäinen karkeistamaton versio. Tämä versio on vain viranomaiskäyttöön eikä kyseistä aineistoa saa jakaa Aineistosta on tehty tarkempi menetelmäkuvaus https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/VierasVayla_Menetelmakuvaus.pdf sekä muuttujaseloste https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/VierasVayla_VariableDescription.xlsx ENG The purpose of the material is to: -Identify road and rail areas that have nearby observations of endangered and near threatened species -Identify road and rail areas with good meadow indicator plant species -Identify road and rail areas along which there are protected areas -Identify the road and rail areas along which there are observations of Lupinus polyphyllus or Rosa rugosa observations -Identify the road and rail areas along which there are Lupinus polyphyllus or Rosa rugosa observations in addition to sensitive species -> Finds sensitive areas and identify the overall threat of alien species The data is presented in 1-kilometer square grid cells. There are two separate versions of the data. -VaylanvarsienVieraslajitJaArvokkaatElinymparistot_avoin: Open access version, in which its species-related parts have been simplified due to data restriction issues. The material belongs to Syke's open materials (CC BY 4.0) and may be used in accordance with the license terms. -VaylanvarsienVieraslajitJaArvokkaatElinymparistot_kayttorajoitettu: Original version. This version is only for official use and the material in question may not be shared. A more precise description about the data procedures can be found from (In Finnish) https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/VierasVayla_Menetelmakuvaus.pdf Furthermore, all the variables in the data are explained in this bilingual variable description https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/VierasVayla_VariableDescription.xlsx This dataset was updated with the newest species observations on 10/2023 and 11/2024 Process code for this can be found from https://github.com/PossibleSolutions/VierasVayla_SpeciesUpdate
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The EMODnet (European Marine Observation and Data network) Geology project collects and harmonizes marine geological data from the European sea areas to support decision making and sustainable marine spatial planning. The partnership includes 39 marine organizations from 30 countries. The partners, mainly from the marine departments of the geological surveys of Europe (through the Association of European Geological Surveys-EuroGeoSurveys), have assembled marine geological information at various scales from all European sea areas (e.g. the White Sea, Baltic Sea, Barents Sea, the Iberian Coast, and the Mediterranean Sea within EU waters). This multiscale dataset includes EMODnet seabed substrate maps at a scale of 1:1 500, 1:5 000, 1:10 000, 1:15 000, 1:20 000, 1:25 000, 1:30 000, 1:45 000, 1: 50 000, 1:60 000, 1:70 000 from the European marine areas. Traditionally, European countries have conducted their marine geological surveys according to their own national standards and classified substrates on the grounds of their national classification schemes. These national classifications are harmonised into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. Further information about the EMODnet Geology project is available on the portal (http://www.emodnet-geology.eu/).
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The Baltic Sea Impact Index is an assessment component that describes the potential cumulative burden on the environment in different parts of the Baltic Sea. The BSII is based on georeferenced datasets of human activities (36 datasets), pressures (18 datasets) and ecosystem components (36 datasets), and on sensitivity estimates of ecosystem components (so-called sensitivity scores) that combine the pressure and ecosystem component layers, created in <a href="http://www.helcom.fi/helcom-at-work/projects/holas-ii" target="_blank">HOLAS II</a> project. Cumulative impacts are calculated for each assessment unit (1 km2 grid cells) by summing all pressures occurring in the unit for each ecosystem component. Highest impacts are found from the cells where both are abundant, but high impacts can be caused also by a single pressure if there are diverse and sensitive habitats in the grid cell. All data sets and methodologies used in the index calculations are approved by all HELCOM Contracting Parties in review and acceptance processes. This data set covers the time period 2011-2016. Please scroll down to "Lineage" and visit <a href="http://stateofthebalticsea.helcom.fi/cumulative-impacts/" target="_blank">State of the Baltic Sea website</a> for more info.
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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).
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This dataset represents the integrated assessment of hazardous substances in the Baltic Sea in 2011-2016, assessed using the CHASE tool (https://github.com/helcomsecretariat/CHASE-integration-tool). The integration is based on hazardous substances core indicators covering concentrations of hazardous substances. This dataset displays the result of the assessment in HELCOM Assessment unit Level 3 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and offshore areas). Attribute information: "HELCOM_ID" = ID of the HELCOM scale 3 assessment unit "country" = Country/ opensea "level_3" = Name of the HELCOM scale 3 assessment unit "area_km2 = Area of the HELCOM scale 3 assessment unit "AULEVEL" = Scale of the assessment units "coastal" = Code of scale 3 HELCOM assessment unit "Input" = Contamination ratio of the assessment unit (Higher score indicates higher contamination) "Confidence" = Confidence of the assessment (Low/ Moderate/ High/ Not assessed) "Status" = Status value for the assessment (= 1.0: Low contamination score, > 1.0: High contaminantion score)
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KUVAUS: Karttataso sisältää sekajätteen keräysalueet, jotka tulevat voimaan kuudessa vaiheessa 31.12.2029 mennessä, sekä nykyisen voimassa olevan sekajätteen keräysalueen. PÄIVITYS: Satunnainen (vain tarvittaessa). YLLÄPITOSOVELLUS: Tampereen kaupungin tiedostopalvelin ja PostGIS-tietokanta KOORDINAATTIJÄRJESTELMÄ: Aineisto tallennetaan ETRS-GK24FIN (EPSG:3878) tasokoordinaattijärjestelmässä GEOMETRIA: vektori (alue) SAATAVUUS: Aineisto on tallennettu Postgis-tietokantaan. JULKISUUS: Aineisto on nähtävillä julkisesti kaikille käyttäjille Oskari-karttapalvelussa. TIETOSUOJA: Aineistoon ei liity tietosuojakysymyksiä. AINEISTOSTA VASTAAVA TAHO: Tampereen kaupunki, Alueellinen jätehuoltolautakunta, jatehuoltolautakunta@tampere.fi
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Road traffic accidents involving personal injury known to the police in Finland and reported to Statistics Finland, which have co-ordinate data. The data cover the following information: vvonn = year of the accident kkonn = month of the accident kello = time of the accident vakav = seriousness of the accident: 1 = accident resulting in death, 2 = accident resulting in injury, 3 = accident resulting in serious injury onntyyppi = type of accident: 0 = same direction of travel (going straight), 1 = same direction of travel (turning), 2 = opposite direction of travel (going straight), 3 = opposite direction of travel (turning), 4 = intersecting direction of travel (going straight), 5 = intersecting direction of travel (turning), 6 = pedestrian accident (on pedestrian crossing), 7 = pedestrian accident (elsewhere), 8 = running off the road, 9 = other accident lkmhapa = number of passenger cars and vans in the accident lkmlaka = number of buses and lorries in the accident lkmjk = number of pedestrians in the accident lkmpp = number of bicycles and light electric vehicles in the accident lkmmo = number of mopeds in the accident lkmmp = number of motor cycles in the accident lkmmuukulk = number of other vehicles in the accident x = x co-ordinate of the accident y = y co-ordinate of the accident The general Terms of Use must be observed when using the data: http://tilastokeskus.fi/org/lainsaadanto/copyright_en.html.
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FTIA INSPIRE Transport Networks Theme Dataset is a dataset depicting the Transport Networks covering the whole of Finland. It contains the following INSPIRE feature types: Road network, Rail network, Waterway network and Air transport network. The dataset is available via the FTIA INSPIRE Download Service (WFS) for Transport Networks and it can be viewed via the FTIA INSPIRE View Service (WMS) for Transport Networks.
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