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

KUVAUS: Osana Tampereen kaupungin luonnon monimuotoisuusohjelman päivitystä toteutettiin loka-marraskuussa 2024 kysely paikallisille luonto- ja ympäristöjärjestöille sekä lumo-asiantuntijoille. Kysely oli avoinna 31.10.-1.12.2024 ja se toteutettiin Fiilis-karttakyselytyökalulla. Kysymykset valmisteltiin Tampereen kaupungin ilmasto- ja ympäristöpolitiikan yksikössä. Kysely lähetettiin 18 yhdistykselle, joista 6 yhdistystä vastasi kyselyyn: Tampereen hyönteistutkijain seura ry, Tampereen 4H-yhdistys, Luontoliiton Hämeen piiri (Tampereen metsäryhmä), Suomen luonnonsuojeluliitto Pirkanmaan piiri ry, Pirkanmaan lintutieteellinen yhdistys, 1 muu, jonka nimi puuttui (johtui kyselyohjelman teknisestä häiriöstä). Kysely lähetettiin myös 25 paikalliselle asiantuntijalle, kuten tutkijoille, viheralan yrittäjille, naapurikuntien ympäristönsuojelun asiantuntijoille sekä muille kuin Tampereen kaupungin viranomaisille, joiden työ liittyy luonnon monimuotoisuuteen. 10 asiantuntijatahoa vastasi kyselyyn. KATTAVUUS: Tampere YLLÄPITO: Kyseessä on poikkileikkausaineisto (Aineisto ei päivity). KOORDINAATTIJÄRJESTELMÄ: Aineisto tallennetaan ETRS-GK24 (EPSG:3878) tasokoordinaattijärjestelmässä. GEOMETRIA: vektori (pisteitä ja alueita) SAATAVUUS: Aineisto on katsottavissa kirjautuneille käyttäjille Oskari-karttapalvelussa. AINEISTOSTA VASTAAVA TAHO: Tampereen kaupunki, Ilmasto- ja ympäristöpolitiikan yksikkö

NLS-FI INSPIRE View Service for Buildings Theme is an INSPIRE compliant Web Map Service. It contains the following harmonized INSPIRE map layers: Building. The service is based on the NLS-FI INSPIRE Buildings Dataset. The dataset is administrated by the National Land Survey of Finland.

The map compiles seabed samples since 1985 onwards. The data includes geographic data and metadata related to each sample, mainly based on the data produced by the Geological Survey of Finland

The Finnish Food Authority - INSPIRE WMS is a WMS interface service that provides access to land cover and land use map layers. The service is based on data from the Integrated Aid Control and Management System (IACS) and the Land Parcel Information System (LPIS). The data are managed by the Food Authority. The service is free of charge and does not require authentication.

KUVAUS: Karttataso kuvastaa Tampereen kaupungin katualueiden maksuluokkia sekä niihin liittyviä tarkastus- ja valvontamaksuja. KATTAVUUS: Julkisesti kaikille käyttäjille Oskari-karttapalvelussa. PÄIVITYS: Satunnainen (vain tarvittaessa). Karttatason tietojen päivittämisestä vastaa Tampereen kaupungin Katutilavalvonnan yksikkö. YLLÄPITOSOVELLUS: Tampereen kaupungin tiedostopalvelin ja PostGIS-tietokanta KOORDINAATTIJÄRJESTELMÄ: Aineisto tallennetaan ETRS-GK24FIN (EPSG:3878) tasokoordinaattijärjestelmässä GEOMETRIA: vektori (viiva) 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, Katutilavalvonta, katuluvat@tampere.fi

The technical harvesting potential of small-diameter trees can be defined as the maximum potential procurement volume of small-diameter trees available from the Finnish forests based on the prevailing guidelines for harvesting of energy wood. The potentials of small-diameter trees from early thinnings have been calculated for fifteen NUTS3-based Finnish regions covering the whole country (Koljonen et al. 2017). To begin with the estimation of the region-level potentials, technical harvesting potentials were estimated using the sample plots of the eleventh national forest inventory (NFI11) measured in the years 2009–2013. First, a large number of sound and sustainable management schedules for five consecutive ten-year periods were simulated for each sample plot using a large-scale Finnish forest planning system known as MELA (Siitonen et al. 1996; Redsven et al. 2013). MELA simulations consisted of natural processes and human actions. The ingrowth, growth, and mortality of trees were predicted based on a set of distance-independent tree-level statistical models (e.g. Hynynen et al. 2002) included in MELA and the simulation of the stand (sample plot)-level management actions was based on the current Finnish silvicultural guidelines (Äijälä et al. 2014) and the guidelines for harvesting of energy wood (Koistinen et al. 2016). Simulated management actions for the small-tree fraction consisted of thinnings that fulfilled the following stand criteria: • mean diameter at breast height ≥ 8 cm • number of stems ≥ 1500 ha-1 • mean height < 10.5 m (in Lapland) or mean height < 12.5 m (elsewhere). Energy wood was harvested as delimbed (i.e. including the stem only) in spruce-dominated stands and peatlands and as whole trees (i.e. including stem and branches) elsewhere. When harvested as whole trees, a total of 30% of the original crown biomass was left onsite (Koistinen et al. 2016). Energy wood thinnings could be integrated with roundwood logging or carried out independently. Second, the technical energy wood potential of small trees was operationalized in MELA by maximizing the removal of thinnings in the first period. In this way, it was possible to pick out all small tree fellings simulated in the first period despite, for example, the profitability of the operation. However, a single logging event was rejected if the energy wood removal was lower than 25 m³ha-1 or the industrial roundwood removal of pine, spruce, or birch exceeded 45 m³ha-1. The potential calculated in this way contained also timber suitable for industrial roundwood. Therefore, two estimates are given: • potential of trees below 10.5 cm in breast-height diameter • potential of trees below 14.5 cm in breast-height diameter. Subsequently, the region-level potentials were spread on a raster grid at 1 km × 1 km resolution. Only grid cells on Forests Available for Wood Supply (FAWS) were considered in this operation. In this study, FAWS was defined as follows: First, forest land was extracted from the Finnish Multi-Source National Forest Inventory (MS-NFI) 2013 data (Mäkisara et al. 2016). Second, restricted areas were excluded from forest land. The restricted areas consisted of nationally protected areas (e.g. nature parks, national parks, protection programme areas) and areas protected by the State Forest Enterprise. In addition, some areas in northernmost Lapland restricted by separate agreements between the State Forest Enterprise and stakeholders were left out from the final data. Furthermore, for small trees, FAWS was further constrained by the stand criteria presented above to represent similar stand conditions for small-tree harvesting as in MELA. Finally, the region-level potentials were distributed to the grid cells by weighting with MS-NFI stem wood biomasses. References Äijälä O, Koistinen A, Sved J, Vanhatalo K, Väisänen P (2014) Metsänhoidon suositukset [Guidelines for sustainable forest management]. Metsätalouden kehittämiskeskus Tapion julkaisuja. Hynynen J, Ojansuu R, Hökkä H, Salminen H, Siipilehto J, Haapala P (2002) Models for predicting the stand development – description of biological processes in MELA system. The Finnish Forest Research Institute Research Papers 835. Koistinen A, Luiro J, Vanhatalo K (2016) Metsänhoidon suositukset energiapuun korjuuseen, työopas [Guidelines for sustainable harvesting of energy wood]. Metsäkustannus Oy, Helsinki. Koljonen T, Soimakallio S, Asikainen A, Lanki T, Anttila P, Hildén M, Honkatukia J, Karvosenoja N, Lehtilä A, Lehtonen H, Lindroos TJ, Regina K, Salminen O, Savolahti M, Siljander R (2017) Energia ja ilmastostrategian vaikutusarviot: Yhteenvetoraportti. [Impact assessments of the Energy and Climate strategy: The summary report.] Publications of the Government´s analysis, assessment and research activities 21/2017. Mäkisara K, Katila M, Peräsaari J, Tomppo E (2016) The Multi-Source National Forest Inventory of Finland – methods and results 2013. Natural resources and bioeconomy studies 10/2016. Redsven V, Hirvelä H, Härkönen K, Salminen O, Siitonen M (2013) MELA2012 Reference Manual. Finnish Forest Research Institute. Siitonen M, Härkönen K, Hirvelä H, Jämsä J, Kilpeläinen H, Salminen O, Teuri M (1996) MELA Handbook. Metsäntutkimuslaitoksen tiedonantoja 622. ISBN 951-40-1543-6.

Statistics Finland's Web Service is a WMS interface service through which the following data required by INSPIRE and national legislation on geographic information are available: 1) Statistical units: Regional divisions (municipality, major region, region, sub-regional unit, Wellbeing services county, Economic Development Centre and electoral district) and grid 1 km x 1 km. 2) Non-profit and public services: Educational institutions (comprehensive schools, upper secon-dary general schools) 3) Production and industrial facilities: Production and industrial facilities 4) Population distribution by the regional divisions used in statistics and by 1 km x 1 km grids. Other data published: - Open data by postal code area (Paavo) - Road traffic accidents - Population distribution by 5 km x 5 km grids The data are administered by Statistics Finland. The service is free of charge and does not require authentication or identification with a user ID and password. The general Terms of Use must be observed when using the data: https://stat.fi/en/about-us/get-to-know-statistics-finland/legislation/terms-of-use