Tampereen herkät vesistöt (viherkerroin)

KUVAUS Herkät vesistöt, joiden rajaus on luotu Viherkertoimen käyttöä varten. Viherkerroinmenetelmä on ekologinen suunnittelutyökalu tonttien viherpinta-alan arviointiin, minkä avulla etsitään vaihtoehtoisia ratkaisutapoja kaupunkivihreän lisäämiseen sekä hulevesien hallintaan. Määritellyillä alueilla huleveden laadulliseen hallintaan on kiinnitettävä erityistä huomiota. Aineisto perustuu hulevesiohjelmassa määritettyihin osavaluma-alueisiin, joiden avulla aineisto on rajattu. Aineisto on päivitetty 12/2023 vastaamaan uuden hulevesiohjelman valuma-alueita. Hulevesiohjelmaan liittyvän aineiston lisäksi rajausta on arvioitu asiantuntijoiden toimesta. KATTAVUUS Koko kaupunki PÄIVITYS Aineisto on laadittu viherkertoimen käyttöön ja päivittyy tiedon tarkentuessa. YLLÄPITOSOVELLUS Aineisto on tallennettu PostgreSQL-tietokantaan ja ylläpidetään QGIS-ympäristössä. KOORDINAATISTOJÄRJESTELMÄ Aineisto tallennetaan ETRS-GK24 (EPSG:3878) tasokoordinaattijärjestelmässä. GEOMETRIA Aluemainen SAATAVUUS Aineisto on saatavilla WFS- ja WMS2-rajapinnoilta. JULKISUUS, TIETOSUOJA. Avoin aineisto. VASTUUTAHO Ympäristönsuojeluyksikkö (ymparistonsuojelu@tampere.fi) KENTÄT vesisto: vesistöalueen nimi

Shipping accidents

This dataset contains the ship accidents in the Baltic Sea during the period 1989 to end of 2023. It is constructed from the annual data collected by HELCOM Contracting Parties on ship accidents in the Baltic Sea and starting from 2019 from EMSA EMCIP Database extraction (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: Unique_ID = An unique identifier consisting of 4 digit running number and the year of the accident Country Year Date = Date (dd/mm/yyyy) Time = Time of the accident (hh:mm) Location = Location of the accident (open sea / port / port approach, from 2019 -> open sea / port) Acc_Type = Type of accident Colli_Type = Type of collision / contact (with vessel / object) Acc_Detail = More information on the accident CauseDetai = Details on the accident cause Assistance = Assistance after the accident Offence = Offence against Rule Damage = Damage to the ship HumanEleme = Occurrence / Reason of human error IceCondit = Ice conditions CrewIceTra = Crew trained for ice conditions Pollution = Pollution (Yes/No) Pollu_m3 = Pollution in m3 Pollu_t = Pollution in tonnes Pollu_Type = Type of pollution RespAction = Response actions after the accident Cargo_Type = Type of cargo Ship1_Name = Ship 1 identification (Not published after 2018) 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 Sh1Draug_m = Ship 1 draught in meters / category Cause_Sh1 = Cause of accidents from ship 1 Pilot_Sh1 = Presence of pilot on ship 1 Ship2_Name = Ship 2 identification (Not published after 2018) Sh2_Categ = Ship 2 type (according to AIS category) Sh2_Type = Ship 2 more detail ship type category Sh2_Hull = Ship 2 hull construction Sh2Size_gt = Ship 2 GT Sh2Sizedwt = Ship 2 DWT Sh2Draug_m = Ship 2 draught in meters / category Cause_Sh2 = Cause of accidents from ship 2 Pilot_Sh2 = Presence of pilot on ship 2 Add_Info = Additional information Latitude = Latitude (decimal degrees) Longitude = Longitude (decimal degrees) 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

Grid net for statistics 5 km x 5 km

Grid net for statistics 5 km x 5 km covers whole of Finland. The grid net includes all grid cells in Finland. The location reference of a grid cell is the coordinates of the bottom left corner of each grid cell. An identifier in accordance with national conventions (consecutive numbering) has also been produced for each grid cell. The Grid net for statistics 5 km x 5 km is the area division used in the production of statistics by 5 km x 5 km grid cells. For utilizing grid data auxiliary table of regional classifications are available: https://stat.fi/en/services/statistical-data-services/geographic-data/statistical-areas/grid-net-for-statistics-5-km 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 In addition to the national version, an INSPIRE information product is also available from the data.

Mineral Deposits

The GTK’s Mineral Deposit database contains all mineral deposits, occurrences and prospects in Finland. Structure of the new database was created in 2012 and it is based on global geostan-dards (GeoSciML and EarthResourceML) and classifications related to them. The database is in Oracle, data products are extracted from the primary database. During 2013 GTK’s separate mineral deposit databases (Au, Zn, Ni, PGE, U, Cu, Industrial minerals, FODD, old ore deposit database) were combined into a single entity. New database contains extensive amount of information about mineral occurrence feature along with its associated commodities, exploration activities, holding history, mineral resource and re-serve estimates, mining activity, production and geology (genetic type, host and wall rocks, min-erals, metamorphism, alteration, age, texture, structure etc.) Database will be updated whenever new data (e.g. resource estimate) is available or new deposit is found. Entries contain references to all published literature and other primary sources of data. Also figures (maps, cross sections, photographs etc.) can be linked to mineral deposit data. Data is based on all public information on the deposits available including published literature, archive reports, press releases, companies’ web pages, and interviews of exploration geologists. Database contains 33 linked tables with 216 data fields. Detailed description of the tables and fields can be found in separate document. (http://tupa/metaviite/MDD_FieldDescription.pdf) The data products extracted from the database are available on Mineral Deposits and Exploration map service (http://gtkdata.gtk.fi/MDaE/index.html) and from Hakku -service (http://hakku.gtk.fi).

Production and Industrial Facilities

Production and Industrial Facilities contain the data set on establishments based on Statistics Finland's Business Register as follows: Data: location coordinates of the establishment, industry according to the Standard Industrial Classification TOL 2008 at the 2-digit level Industries according to D2.8.III.8 INSPIRE in TOL 2008 industries: B Mining and quarrying C Manufacturing D Electricity, gas steam and air conditioning supply E Water supply, sewerage, waste management and remediation activities F Construction H Transport and storage (excl. 53 Postal and courier activities) Coverage of the data set: establishments with over ten employees Statistical reference year: 2019 The data set is also suitable for viewing the location of industrial establishments. The coverage of the spatial data is about 90 % of the statistical data. The general Terms of Use must be observed when using the data: http://tilastokeskus.fi/org/lainsaadanto/copyright_en.html. In addition to the national version, an INSPIRE information product is also available from the data.

Rakennukset alueina

KUVAUS: Tampereen rakennusten 2D-seinälinjat aluemuotoisena geometriana korkeudeltaan nollattuna. Rakennusten ominaisuustiedot tulevat masterdatasta i_pyraknron perusteella. Jos tunnusvastaavuutta ei löydy, geometria ei tule mukaan näkymään. Virkistys aamuisin klo 6.15. KATTAVUUS: Tampereen kaupunkiseutu PÄIVITYS: Aineistoa päivitetään jatkuvasti uusien rakennusten valmistuessa. YLLÄPITOSOVELLUS: StellaMap (DGN-tiedostot) ja FME KOORDINAATTIJÄRJESTELMÄ: Aineisto tallennetaan ETRS-GK24FIN (EPSG:3878) tasokoordinaattijärjestelmässä. GEOMETRIA: vektori (alue) SAATAVUUS: Aineisto on saatavilla WFS-rajapinnalta. Aineiston primäärilähde on Oracle-tietokanta. JULKISUUS: Aineisto on katsottavissa Oskari-karttapalvelussa. KENTÄT: -PYSYVA_RAKENNUSTUNNUS: Tulee rakennuksen i_pyraknro perusteella Factasta. -SIJAINTIKIINTEISTO: Rakennuksen kiinteistötunnus -VALMISTUMISPVM -KERROSALA: Kerrosalaan luetaan kerrosten pinta-alat ja se ullakon tai kellarikerrosten ala, jossa on asuin- tai työhuoneita tai muita rakennuksen pääasiallisen käyttötarkoituksen mukaisia tiloja. Kerrosala on vaakasuora pinta-ala, jota rajoittavat kerrosten seinien ulkopinnat tai niiden ajateltu jatke ulkoseinien pinnassa olevien aukkojen ja koristeosien osalta (Tilastokeskus 2024). -KERROSTEN_LKM -HISSI -RAKENNUSTILAVUUS -POLTTOAINE -LAMMITYSTAPA: Vesikeskuslämmitys, Ilmakeskuslämmitys, Suora sähkölämmitys, Uunilämmitys, Ei kiinteää lämmityslaitetta, tuntematon. -PYSYVA_RAK_NRO_FACTA: Rakennelman pysyvä rakennusnumero Factasta. AINEISTOSTA VASTAAVA TAHO: Tampereen kaupunki, Paikkatietoyksikkö, paikkatieto_tuki@tampere.fi

Finnish Uniform Coordinate System

The Finnish Uniform Coordinate System (in Finnish Yhtenäiskoordinaatisto, YKJ) has been used in biological observation mapping since the 1970s. Based on YKJ, Finland is divided in square-shaped areas, the size of which are determined according to the needs of the study. The area division used in national biomonitoring is 10 km x 10 km squares, but in some cases 1 km x 1 km and 100 m x 100 m YKJ squares are also used. This data set includes XY-lines that form square grid in four scales according to Unified Coordinate System (100 m - 100 km), with identifiers describing each square.

Landscape feature on agricultural land 2021

Baltic Sea Impact Index (BSII)

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.

EMODnet Seabed substrate 1:10 000 – Europe

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 dataset includes EMODnet seabed substrate maps at a scale of 1:10 000 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/).