My GeoServer WFSThis is a description of your Web Feature Server. The GeoServer is a full transactional Web Feature Server, you may wish to limit GeoServer to a Basic service level to prevent modificaiton of your geographic data.WFSWMSGEOSERVERWFS2.0.0NONENONE1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionALLSOMEresultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalapplication/gml+xml; version=3.2ALLSOMETRUETRUETRUETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQuerygeonode:10minThis dataset contains 10 minutes walking distances from the planned Turku tramway stops. This dataset was created by calculating a 10-minute journey along the Digiroad network at a speed of 4 km/h. This dataset was produced to be used in web-map created for MAAN7771 geo-visualization challenge group work.features10minurn:ogc:def:crs:EPSG::306722.216609352945575 60.4330132146010822.370171833263353 60.46213093470677geonode:services_onroadThis dataset includes after-school service points such as “Uimahallit” (swimming pools), “Uimapaikat” (swimming areas), “Jäähallit” (ice rinks), “Liikuntasalit ja palloiluhallit” (sports halls), “Kuntosalit” (gyms), “Urheilukentät” (sports fields), “Stadionit” (stadiums), “Nuorisotilat ja -keskukset” (youth facilities and centres), and “Kirjastot” (libraries). The service point data were downloaded from the Lounaistieto open data portal and clipped to the Turku metropolitan area, which includes the municipalities of Turku, Kaarina, Lieto, Naantali, Raisio, and Rusko. A 15-minute walking distance (1,250 m) buffer was calculated around each school, and the number of after-school services within these buffers is this dataset. This dataset represents the resulting spatial layer showing after-school services located within the 15-minute walking areas from schools, providing a basis for accessibility and service distribution analysis in the Turku region."Public services""Walkability""After-school services"features"Turku metropolitan area""opendata"services_onroad"Accessibility""Service points"urn:ogc:def:crs:EPSG::306721.920382965485796 60.36825653246991422.777190549639467 60.60575158772363geonode:archipelago_development_preferences4006c3889fc7This dataset contains information about development preferences in the Archipelago Sea area. The data was collected during summer 2022 with Maptionnaire online platform. Development preferences were ready given options and respondents mapped as points places where they identify a specific development preference. Participants had the opportunity to locate as many points as they wanted. Document contains attribute metadata of respondents, development preferences and coordinates. The data was produced by the University of Turku, Department of Geography and Geology in collaboration with Metsähallitus and the Archipelago Sea Biosphere Reserve. This data covers geographically Archipelago Sea area and its municipalities.archipelago_development_preferences4006c3889fc7participatory mappingfeaturesDevelopment preferenceArchipelago Sea National ParkArchipelago SeaPPGISurn:ogc:def:crs:EPSG::432619.507332 59.548623.570627 60.723339geonode:archipelago_landscape_values_3b633c2a37562d2a1f4f986fe7241a4cThis dataset contains information about landscape values in the Archipelago Sea area. The data was collected during summer 2022 with Maptionnaire online platform. Values were ready given options and respondents mapped as points places where they identify a specific landscape value. Participants had the opportunity to locate as many points as they wanted. Document contains attribute metadata of respondents, values and coordinates. The data was produced by the University of Turku, Department of Geography and Geology in collaboration with Metsähallitus and the Archipelago Sea Biosphere Reserve. This data covers geographically Archipelago Sea area and its municipalities.PPGISLandscape valuesArchipelago Seaarchipelago_landscape_values_3b633c2a37562d2a1f4f986fe7241a4cparticipatory mappingfeaturesArchipelago Sea National Parkurn:ogc:def:crs:EPSG::432619.890143 59.72191123.580319 60.996031geonode:bankfull_model_of_tana_catchment_river_networkThis dataset contains the simulated area that corresponds to bankfull stage in the main Tana River stem and principal tributaries. This area is obtained thanks to the FluvialCorridor toolbox for ArcGIS that can be found in the following link: https://github.com/EVS-GIS/Fluvial-Corridor-Toolbox-ArcGISTenojokibankfullTana Riverfeaturesbankfull_model_of_tana_catchment_river_networkurn:ogc:def:crs:EPSG::504823.68385390769338 68.6734067050605628.61454114829112 70.52394398889217geonode:finnic_branch_9c4ec3f9281ac95263d4946c31b229ddThis file include the distribution of the Uralic languages grouped as Finnic branch. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).1900traditionalfinnic_branch_9c4ec3f9281ac95263d4946c31b229ddfeaturesuralic languagesFinnic branchurn:ogc:def:crs:EPSG::385712.328052251566389 55.9694542898533738.03927705039896 68.70770783483253geonode:finnish_dialect_areasTraditional Finnish language area in the beginning of the 1900s. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).finnish languagefeatures1900traditionaldialectsfinnish_dialect_areasFinnic branchurn:ogc:def:crs:EPSG::385712.328052251566389 59.27002339138475431.572385597321283 70.85336674821714geonode:hospitals_by_walking_fixedThe dataset contains hospital accessibility layer by walking in Southwest Finland. The layer represents travel time lengths from hospital service points within a one-hour distance, at five-minute intervals. The calculation of travel times utilized the road network provided by Digiroad, as well as the service point data from Lounaistieto.featureshospitals_by_walking_fixedurn:ogc:def:crs:EPSG::306721.340103242177165 60.27502213334298623.20656854503392 60.894061546642156geonode:hospitals_by_car_fixedThe dataset contains hospital accessibility layer by car in Southwest Finland. The layer represents travel time lengths from hospital service points within a one-hour distance, at five-minute intervals. The calculation of travel times utilized the road and speed limit network provided by Digiroad, as well as the service point data from Lounaistieto.featureshospitals_by_car_fixedurn:ogc:def:crs:EPSG::306721.14191170792343 59.9244526722300123.971260992155592 61.17145356798142geonode:hospital_points_fixedThe dataset contains service point information of hospitals in Southwest Finland. The data was modified from Lounaistieto service point dataset. The service points were reduced to include only those hospitals that are operational in 2025. The attribute table contains information about the locations, addresses, opening hours, and contact details of the service points.featureshospital_points_fixedurn:ogc:def:crs:EPSG::306721.42331067978817 60.31806352569504523.127348869767356 60.854050274470865geonode:karelian_languageCurrent distribution of Karelian language. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).featureskarelian_languagecurrent2000karelian languageFinnic branchurn:ogc:def:crs:EPSG::385723.520535777570583 56.7674134726488737.50260814830945 66.18124726600385geonode:kigogo_climate_stressor_experiences_2023This vector layer represents local community members' climate stressor experiences in Kigogo, Dar es Salaam. Local communities in Tandale and Kigogo wards shared their local knowledge on where they have most often encountered floods, extreme heat and air pollution via participatory mapping campaign conducted in October 2023. Their experiences were mapped with Maptionnaire-tool by Resilience Academy alumni students from Ardhi University. featuresparticipatory mappingkigogo_climate_stressor_experiences_2023urn:ogc:def:crs:EPSG::432639.23042498991555 -6.82362223372020939.261978494104504 -6.813363000000004geonode:lahti_temperature_differences_2014_2016ac5f07809c5eDataset includes temperature information measured from 8 locations during 1.6.2014-31.5.2016. Data includes temperature measurement for situations when the temperature difference between the measured points has been the largest. Dataset also includes the coordinates for each temperature logger in EPSG:3067. Some environmental details are also included regarding the loggers´ position. Environmental details are form SLICES2010 land usage dataset and 25m resolution DEM elevation model. Temperature measurements are done using Hobo U23-001 Pro V2 temperature and moisture loggers, measuring every 30mins, located 3m above ground level.ClimatefeaturesUrban heat islandTemperaturelahti_temperature_differences_2014_2016ac5f07809c5eurn:ogc:def:crs:EPSG::504825.62941477614213 60.9471159104358325.67467673882612 60.99421217818416geonode:landscape_service_and_lulc_grid_information_from_ie8368b27bc98The dataset consists of variables calculated in to 500 times 500 meters grid cells from landscape service point data and LULC polygon data. The data set covers approximately the same spatial extent as was used in the participatory mapping data collection campaign during February and March 2016. This data set was created for the purpose to study the spatial distribution and density of provisioning landscape services in the village landscape. For more information on the variables included and their calculation see the associated article: https://doi.org/10.1016/j.ecoser.2019.101056featuresTanzaniaLandscape serviceslandscape_service_and_lulc_grid_information_from_ie8368b27bc98participatory mappingecosystem servicesSUSLANDurn:ogc:def:crs:EPSG::3273634.99803817380199 -9.46878875621892735.084996598510386 -9.386935481432216geonode:landscape_service_and_lulc_grid_information_from_l9d2e914448daThe dataset consists of variables calculated in to 500 times 500 meters grid cells from landscape service point data and LULC polygon data. The data set covers approximately the same spatial extent as was used in the participatory mapping data collection campaign during February and March 2016. This data set was created for the purpose to study the spatial distribution and density of provisioning landscape services in the village landscape. For more information on the variables included and their calculation see the associated article: https://doi.org/10.1016/j.ecoser.2019.101056SUSLANDLandscape servicesfeaturesparticipatory mappinglandscape_service_and_lulc_grid_information_from_l9d2e914448daTanzaniaLulanzi_grid_SUSLANDecosystem servicesurn:ogc:def:crs:EPSG::3273635.84710953166093 -8.01288652095517235.90648989550813 -7.9447212492248305geonode:landscape_service_and_lulc_grid_information_from_t4f2dfabeab62The dataset consists of variables calculated in to 500 times 500 meters grid cells from landscape service point data and LULC polygon data. The data set covers approximately the same spatial extent as was used in the participatory mapping data collection campaign during February and March 2016. This data set was created for the purpose to study the spatial distribution and density of provisioning landscape services in the village landscape. For more information on the variables included and their calculation see the associated article: https://doi.org/10.1016/j.ecoser.2019.101056Tanzaniaparticipatory mappingfeaturesSUSLANDlandscape_service_and_lulc_grid_information_from_t4f2dfabeab62ecosystem servicesLandscape servicesurn:ogc:def:crs:EPSG::3273635.066814591623896 -7.87742343463205335.12609854752432 -7.804813773423868geonode:ludic_language_1900Distribution of Ludic language at the beginning of the 20th century. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).1900traditionalfeaturesludic_language_1900Finnic branchludic languageurn:ogc:def:crs:EPSG::385733.207379053354394 60.9585295820510234.794874111074854 62.798623701499466geonode:lulanzi_servicepointsLandscape service (provisioning and cultural) point locations from Lulanzi village located at the Southern highlands of Tanzania. This data was produced in a participatory mapping campaign and it was organized in Tanzania from February to March 2016.participatory mappingecosystem servicesfeaturesLandscape servicesLulanzi_ServicepointsTanzaniaSUSLANDlulanzi_servicepointsurn:ogc:def:crs:EPSG::3273635.85182511748558 -8.00777750542293635.90332097245905 -7.948318784426317geonode:mansi_languageCurrent distribution of Mansi language. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).mansi branch2000featuresmansi_languagecurrentmansi languageurn:ogc:def:crs:EPSG::385757.075828823951525 59.6515378633020369.00151403694747 64.33025769209343geonode:measurements_of_water_properties_with_ysi_multipar8bb181df8d5dThe data are based on the seasonal development of five surface-layer water variables (temperature, salinity, Secchi depth, chlorophyll and acidity) and the persistence of their geographical patterns at the Archipelago Seagradientfeaturesmonitoringmeasurements_of_water_properties_with_ysi_multipar8bb181df8d5dpersistencewater qualityurn:ogc:def:crs:EPSG::504821.183822133814946 60.0125845275559822.541155851764575 60.60025344131371geonode:pemba_buildings_2004_cd759cbb7e13bf70fb93f41f65a3a8f0No abstract providedfeaturespemba_buildings_2004_cd759cbb7e13bf70fb93f41f65a3a8f0urn:ogc:def:crs:EPSG::2103739.60687803020106 -5.46960804345869939.86815508358668 -4.871923175098679geonode:pemba_roads_2004No abstract providedfeaturespemba_roads_2004urn:ogc:def:crs:EPSG::2103739.60344401911917 -5.47136719097401839.87509540796138 -4.867612716619439geonode:healthcare_service_points_ws_satakuntaThis dataset contains Information about public health service point locations in Southwest Finland and Satakunta. Each point contins information about the municipality, region, type, website link and the opening hours. The purpose of the dataset is to identify large gaps between care needs and the accessibility or availability of care services. The dataset was produced as a practical for the course Geospatial Data Management and Visualization in the University of Turku (2025) by the group Mapmaniacs. All public health care centres in the areas were mapped, that were active at the data collecting time.featureshealthcare_service_points_ws_satakuntaurn:ogc:def:crs:EPSG::432621.35482132761559 60.02040962622735523.587464264192512 62.143595992093594geonode:pulmanki_river_ecological_and_soil_survey_autumn_2016The data are based on a field survey of sub-arctic Pulmanki river valley vegetation and soil in September 2016, field measurements of topography, bathymetry and flow and water level during 2009-2016 and hydraulic modelling. The data are discussed in detail in Nylén et al. 2019. The owner of this dataset is Tua Nylén (tua.nylen@utu.fi) and Fluvial and Coastal Research Group, University of Turku.LichenUnit stream powerSpecies richnessBryophyteSub-arcticSpecies distributionDisturbanceRiverinefeaturesLaplandElevation modelpulmanki_river_ecological_and_soil_survey_autumn_2016Vascular plantRiver valleyLitterurn:ogc:def:crs:EPSG::306728.027726171101026 69.918426156944628.04385109576548 69.9380978713006geonode:paavo_sw_f_2024This Dataset shows the current share (2024) of elderly people in each municipality of SW Finland. The distribution of the age groups that are 65 years old or even older are mapped in form of Polygones. The Polygones displays the percentage of the elderly people relative to the total elderly population across the study area. This dataset was produced under the visualization challange of the course MAAN 7771 Geospatial Data Management and Visualization at the University of Turku and aims to help urban planners to understand today’s spatial distribution of aging populations and existing health care access. Data derived from Statistics Finland datasets.featurespaavo_sw_f_20242024urn:ogc:def:crs:EPSG::306720.87993995463531 59.66819420478811523.987958444226898 61.17518800159555geonode:medservice_exp3067This Dataset contains information about the location of health care services, divided into Hospitals, Private and Public Health Care Service Points. The point data aims to display the current distribution of health care service points in SW Finland for the year 2024. This dataset was produced under the visualization challange of the course "MAAN 7771 Geospatial Data Management and Visualization" at the University of Turku. Data derived from Lounaistieto service points.featuresmedservice_exp3067urn:ogc:def:crs:EPSG::306721.2463899880135 60.1460178851839523.60348899484453 61.021959139490484geonode:paavo_sw_f_2045This Dataset contains information about the change of the elderly population in the future (2045) in each municipality of SW Finland. The projected increase or decrease in the elderly population is mapped in form of Polygones. The Polygones displays the percentage of increase or decrease of elderly residents. This dataset was produced under the visualization challange of the course "MAAN 7771 Geospatial Data Management and Visualization" at the University of Turku and aims to highlight future hotspots of demographic pressure and areas where demand for care services is expected to grow most. Data derived from Statistics Finland datasets.2045featurespaavo_sw_f_2045urn:ogc:def:crs:EPSG::306720.87993995463531 59.66819420478811523.987958444226898 61.17518800159555geonode:saami_branchThe distribution of the Uralic languages grouped as Saami branch. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO(https://sites.utu.fi/urko/).1900traditionalfeaturesuralic languagessaami_branchsaami branchurn:ogc:def:crs:EPSG::38579.544118686000115 61.7617050163003841.404140472412145 71.16526927300016geonode:saami_branch_allDistribution of Saami language branch at the beginning of the 20th century (updated). This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).1900saami_branch_alltraditionalfeaturesuralic languagessaami branchurn:ogc:def:crs:EPSG::38579.544118686000115 61.7617050163004741.404140472412145 71.16526927300016geonode:schools_total_serv_7f5e5b063ede73f97378c8471cdd03fcThis dataset contains basic education level school points within the Turku metropolitan area, including the municipalities of Turku, Kaarina, Lieto, Naantali, Raisio, and Rusko. The basic education school data were originally uploaded from the Lounaistieto open data portal and clipped using the Digiroad network for accessibility analyses and therefore the schoolpoints now lay on their closest road and not on the original places. featuresschools_total_serv_7f5e5b063ede73f97378c8471cdd03fc"Schools"After-school servicesAccessibilityDigiroadurn:ogc:def:crs:EPSG::306721.64978063623207 60.3582570480886722.777124253475073 60.603899368090865geonode:healthcare_service_areas_ws_satakuntaThis dataset contains the servce areas around public health care services offering primary and emergency care in the wellbeing services counties of Southwest Finland and Satakunta. The service areas have been calculated with four intervals (2 km, 5 km, 10 km, 20 km) with the distances being along roads. Service area polygons were each calculated around one health centre, and same distance polygons have then been merged. Polygons were clipped by healtcare region areas and islands without health care center and road connection to mainland were clipped out. The purpose of the dataset is to provide an overview of the availability of healthcare in the counties of southwest Finland. The dataset was produced as a practical for the course Geospatial Data Management and Visualization in the University of Turku (2025) by the group Mapmaniacs.featureshealthcare_service_areas_ws_satakuntaurn:ogc:def:crs:EPSG::432621.2129527 59.92057188594688523.84185114943625 62.30878787016974geonode:turclim_data__august_2006_and_2007The data are based on a temperature measuring points in the Turku region. In addition to points, data contains information about environmental variables. Environmental variables can be used to explain the average temperatures of temperature points. Data were collected in August 2006 and 2007 The owner of this dataset is Juuso Suomi (juusuo@utu.fi), University of Turku.Land usefeaturesTURCLIMturclim_data__august_2006_and_2007Mean temperatureUrban heat islandurn:ogc:def:crs:EPSG::306722.080096208125465 60.41303674673705622.38606518663869 60.542642849346684geonode:tandale_climate_stressor_experiences_2023This vector layer represents local community members' climate stressor experiences in Tandale, Dar es Salaam. Local communities in Tandale and Kigogo wards shared their local knowledge on where they have most often encountered floods, extreme heat and air pollution via participatory mapping campaign conducted in October 2023. Their experiences were mapped with Maptionnaire-tool by Resilience Academy alumni students from Ardhi University. featuresparticipatory mappingtandale_climate_stressor_experiences_2023urn:ogc:def:crs:EPSG::432639.235258 -6.79903373388445239.2507177343216 -6.788993814154112geonode:testdatasetNo abstract providedtestdatasetfeaturesurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0geonode:testdataset_kmzkNo abstract providedfeaturestestdataset_kmzkurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0geonode:the_land_use__land_cover_data_from_iboya_tanzania_9c76f216c392The Land Use & Land Cover (LULC) data from the Iboya region of Tanzania. There are six LULC-categories in this data (Scrubland, arable land, wetland, homestead, forest and grassland). This data was produced in a participatory mapping campaign and it was organized in Tanzania from February to March 2016. The owner of this dataset is Joni Koskinen (jonkosk@utu.fi), University of Turku.Tanzanialandscape serviceparticipatory mappinglandscape sustainability challengeSUSLANDthe_land_use__land_cover_data_from_iboya_tanzania_9c76f216c392featuresLULCurn:ogc:def:crs:EPSG::3273634.99803817390607 -9.46878875644803335.08499659861456 -9.386935481661292geonode:the_land_use__land_cover_data_from_lulanzi_tanzanibd0d6a3b85ccThe Land Use & Land Cover (LULC) data from the Lulanzi region of Tanzania. There are six LULC-categories in this data (Scrubland, arable land, wetland, homestead, forest and grassland). This data was produced in a participatory mapping campaign and it was organized in Tanzania from February to March 2016. The owner of this dataset is Joni Koskinen (jonkosk@utu.fi), University of Turku.landscape sustainability challengeparticipatory mappingthe_land_use__land_cover_data_from_lulanzi_tanzanibd0d6a3b85ccfeatureslandscape serviceTanzaniaSUSLANDLULCurn:ogc:def:crs:EPSG::3273635.84709950901528 -8.01281481137340535.90654333946436 -7.9432672681595475geonode:the_land_use__land_cover_data_from_tungamalenga_taff6b71b1dd93The Land Use & Land Cover (LULC) data from the Tungamalenga region of Tanzania. There are six LULC-categories in this data (Scrubland, arable land, wetland, homestead, forest and grassland). This data was produced in a participatory mapping campaign and it was organized in Tanzania from February to March 2016. The owner of this dataset is Joni Koskinen (jonkosk@utu.fi), University of Turku.Tanzanialandscape serviceparticipatory mappingthe_land_use__land_cover_data_from_tungamalenga_taff6b71b1dd93SUSLANDlandscape sustainability challengefeaturesLULCurn:ogc:def:crs:EPSG::3273635.06677870555522 -7.877441550686473435.12609863915747 -7.804831711384936geonode:the_distribution_of_glacial_meltwater_routes_and_ac8999af5199cThe dataset contains different types of subglacial meltwater routes and the related distribution of murtoos in the Finnish part of Fennoscandian Ice Sheet.featuressubglacial hydrologythe_distribution_of_glacial_meltwater_routes_and_ac8999af5199csubglacial meltwater routesFennoscandian ice sheetLiDARGeomorphological mappingmurtoosurn:ogc:def:crs:EPSG::504816.296479921922167 60.0699058458366333.07558833194163 70.09402722183755geonode:tungamalenga_servicepointsLandscape service (provisioning and cultural) point locations from Tungamalenga village located at the Southern highlands of Tanzania. This data was produced in a participatory mapping campaign and it was organized in Tanzania from February to March 2016.Tanzaniatungamalenga_servicepointsLandscape servicesTungamalenga_Servicepointsparticipatory mappingSUSLANDecosystem services1000featuresurn:ogc:def:crs:EPSG::3273635.069397455437006 -7.871540452779286535.12069653967331 -7.797496026061416geonode:raitiotielinjausThis dataset contains information about the planned Turku tramway. This dataset includes the planned tramline.featuresraitiotielinjausurn:ogc:def:crs:EPSG::387722.221820092099122 60.4362885831186522.363989372759566 60.45454789258337geonode:pysakitThis dataset contains information about the planned Turku tramway. This dataset includes the planned tramstops. This dataset was originally created by city of Turku and it is edited to be used in accessibility analysis relating to the planned tramway.featurespysakiturn:ogc:def:crs:EPSG::385722.223366830712305 60.4362721810883522.362778691204642 60.45377639438957geonode:uralic_languages_branch_labelsBranch labels of the Uralic languages. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).features1900traditionaluralic_languages_branch_labelsuralic languagesurn:ogc:def:crs:EPSG::385721.079962366015 47.0917087796178780.80885788434145 68.93673998942121geonode:uralic_branchesDistribution of Uralic branch at the beginning of the 20th century. The branches are visualised without overlapping extents. Map is based on the state-of-the-art distributions modified by the language experts. Branch labels of the Uralic languages. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).uralic_branchesfeatures1900traditionaluralic languagesurn:ogc:def:crs:EPSG::38579.544118686000115 45.48314228465055113.42577367106715 75.69559561577407geonode:uralic_languagesDistribution of the Uralic languages at the beginning of the 20th century. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).uralic_languages1900traditionaluralic languagesfeaturesurn:ogc:def:crs:EPSG::38579.544118686000115 45.48314228465055113.42577367106715 75.69559561577407geonode:uralic_languages_labelsLabels for the Uralic languages. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).uralic_languages_labelsfeaturesuralic languageslabelsurn:ogc:def:crs:EPSG::385713.74875260113775 47.09170877974313697.96773766968177 73.12203447687997geonode:veps_language_1900Distribution of Veps language at the beginning of the 20th century. This dataset is produced by Timo Rantanen in the project BEDLAN (https://bedlan.net/) and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/).veps_language_19001900traditionalfeaturesveps languageFinnic branchurn:ogc:def:crs:EPSG::385733.93090880956863 59.6983322976737638.03927705039896 61.48646637746745geonode:walking_path_slipping_risk_in_turku30462480cf82This dataset contains information about slipping risk of the walking pathways in Turku and Kaarina. It is based on dataset "Turun ja Kaarinan ylläpitämät katualueet" (Road areas in Turku and Kaarina) https://www.avoindata.fi/data/fi/dataset/turun-ja-kaarinan-yllapitamat-katualueet. The original dataset has been modified in two ways. Firstly by adding nine attributes that describe slipping risk for pedestrians. Secondly, only walking pathways in the original dataset are included. This dataset is heavily based on other datasets in "Slippery datasets " group and is also part of the Bachelor's thesis of Iiro Seppä.Human health and safetySlippingElderly personslipperinessPopulation distribution — demographywalking_path_slipping_risk_in_turku30462480cf82Transport networksfeaturesPedestriansurn:ogc:def:crs:EPSG::306722.0790923717504 60.38731403272742422.424409218852535 60.53679037983412geonode:wintertime_sedimentation_in_the_coastal_area_of_the_northern_bData describe sediment accumulation rate, organic and minerogenic matter, carbon and nitrogen content and their ratio (C/N) and mean sediment particle size (D50). Data have been collected during two perpendicular winter seasons in the Halikonlahti Bay, coastal area of the Northern Baltic Sea in 2018 - 2020. Data are based on sediment trapping and discussed more detailed in Salmela et al. 2021. Data ownership belongs to Fluvial and Coastal Research Group (https://sites.utu.fi/fcrg), Department of Geography and Geology, University of Turku. For more detailed information, please contact Jouni Salmela (jouni.salmela@utu.fi).SedimentationBaltic Seawintertime_sedimentation_in_the_coastal_area_of_the_northern_bfeaturesurn:ogc:def:crs:EPSG::504822.516764130977062 60.2101095697775522.882550675865012 60.28655210894063geonode:adna_data_points_3ed3d738471797002beabe40f991c267Genetic data collection locations from Uralic and neighbouring areas. This dataset is compiled by Anne-Mai Ilumäe from several resources and published in the spatial data platform curated by URKO (https://sites.utu.fi/urko/). Additional references are found in the point information.adna_data_points_3ed3d738471797002beabe40f991c267geneticsancient DNAfeaturesurn:ogc:def:crs:EPSG::43267.75 45.9954.070923 69.222171geonode:aanaar_saami_language_1900featuresaanaar_saami_language_1900urn:ogc:def:crs:EPSG::385726.17936269161342 68.649610010029928.82472047698809 69.43469275198237geonode:akkala_saami_language_1900featuresakkala_saami_language_1900urn:ogc:def:crs:EPSG::385729.657800221897272 67.2829005529182634.158048428495256 68.34474851060504geonode:birch_event_date_a9ccb31aae8023dc111b1c01bbba3b2efeaturesbirch_event_date_a9ccb31aae8023dc111b1c01bbba3b2eurn:ogc:def:crs:EPSG::239319.702120998359888 60.0463470835593331.380913496247466 70.07254370724849geonode:bronze_age_bone_artefacts_4f111719bfa01539b7fa6ce289d1e96afeaturesbronze_age_bone_artefacts_4f111719bfa01539b7fa6ce289d1e96aurn:ogc:def:crs:EPSG::239321.63906179262352 60.4766651327422325.95018800936949 64.89675775590503geonode:bronze_age_bone_classified_e4c46b053358d6bda792170fe578ead3featuresbronze_age_bone_classified_e4c46b053358d6bda792170fe578ead3urn:ogc:def:crs:EPSG::239321.63906179262352 60.4766651327422325.95018800936949 64.89675775590503geonode:bronze_age_bronze_artefactsfeaturesbronze_age_bronze_artefactsurn:ogc:def:crs:EPSG::239317.58136949745227 59.8625704813355430.793686744785816 68.87662329526532geonode:bronze_age_clay_artefacts_ca91bd4c705a028b8a9e03086a39aa27featuresbronze_age_clay_artefacts_ca91bd4c705a028b8a9e03086a39aa27urn:ogc:def:crs:EPSG::239321.455733326486385 61.30294471523732429.98257092969263 64.52346176418857geonode:bronze_age_pottery_artefacts_0dcd2d0aa5f9d08a7642a3a4cb04b9aefeaturesbronze_age_pottery_artefacts_0dcd2d0aa5f9d08a7642a3a4cb04b9aeurn:ogc:def:crs:EPSG::239316.742322921976136 59.88275928913548537.004431406871326 70.07314300827473geonode:bronze_age_pottery_artefacts_e07aef1f3649c003646dd062b197c225featuresbronze_age_pottery_artefacts_e07aef1f3649c003646dd062b197c225urn:ogc:def:crs:EPSG::239316.742322921976136 59.88275928913548537.004431406871326 70.07314300827473geonode:bronze_age_pottery_classified_dce188b31ffd43b5059b58875b9b23dffeaturesbronze_age_pottery_classified_dce188b31ffd43b5059b58875b9b23dfurn:ogc:def:crs:EPSG::239316.742322921976136 59.88275928913548537.004431406871326 70.07314300827473geonode:bronze_age_pottery_main_f61b37fb934b4de897042aad434b8086featuresbronze_age_pottery_main_f61b37fb934b4de897042aad434b8086urn:ogc:def:crs:EPSG::385721.589074368188786 60.0301518765696732.428595594982625 70.07180010740268geonode:bronze_age_stone_tools_artefactsc6b9730e7e4efeaturesbronze_age_stone_tools_artefactsc6b9730e7e4eurn:ogc:def:crs:EPSG::239316.315637653016154 59.75162275208500532.82594226216952 70.07294594806827geonode:bronze_age_stone_tools_classified41c0fc32c406featuresbronze_age_stone_tools_classified41c0fc32c406urn:ogc:def:crs:EPSG::239316.315637653016154 59.75162275208500532.82594226216952 70.07294594806827geonode:buildingsaoifeaturesbuildingsaoiurn:ogc:def:crs:EPSG::3273739.1856785458722 -6.19749826794846939.2266730212205 -6.134073269929412geonode:courland_livonian_villages_4f781e558aa57ec4a8df34cfa0e307b9featurescourland_livonian_villages_4f781e558aa57ec4a8df34cfa0e307b9urn:ogc:def:crs:EPSG::385721.832023597357413 57.5618956749056122.610362175000148 57.759711005000135geonode:cumulative_yearly_hdd_and_cdd_in_iran_over_a_time__period_fromfeaturescumulative_yearly_hdd_and_cdd_in_iran_over_a_time__period_fromurn:ogc:def:crs:EPSG::432644.99527778 27.214260.90027778 38.55805556geonode:east_khanty_languagefeatureseast_khanty_languageurn:ogc:def:crs:EPSG::385768.76321899565464 58.53934871814145476.94278947676798 63.36197423500558geonode:east_khanty_language_1900featureseast_khanty_language_1900urn:ogc:def:crs:EPSG::385769.91412419850363 57.13789420402423585.72049314665148 63.630748159646615geonode:east_mansi_language_1900featureseast_mansi_language_1900urn:ogc:def:crs:EPSG::385762.93960395096946 58.7408463995964968.71301787927324 61.89065500439633geonode:eastern_arc_forests_modelfeatureseastern_arc_forests_modelurn:ogc:def:crs:EPSG::3273735.10819876392655 -9.07481105883688638.81864097291464 -3.2986340023156497geonode:eastern_mari_language_1900featureseastern_mari_language_1900urn:ogc:def:crs:EPSG::385749.118649991949866 54.6385120465144658.27084251900715 57.7375420562045geonode:erzya_and_moksha_language_1900featureserzya_and_moksha_language_1900urn:ogc:def:crs:EPSG::385745.568989763516655 52.6811734459217752.6990805310108 55.250714130865745geonode:erzya_language_1900featureserzya_language_1900urn:ogc:def:crs:EPSG::385742.31740771396041 52.1648926196473353.58324911774268 55.517192575652146geonode:finnic_dialect_labels_0ccc8314235f83d7747145a847622e22featuresfinnic_dialect_labels_0ccc8314235f83d7747145a847622e22urn:ogc:def:crs:EPSG::385712.688302000641626 56.15280051348296637.97970545101387 68.70061648219722geonode:forest_enets_languagefeaturesforest_enets_languageurn:ogc:def:crs:EPSG::385786.08911540361943 68.6063553650382188.3942487823056 69.47901140453918geonode:forest_enets_language_1900featuresforest_enets_language_1900urn:ogc:def:crs:EPSG::385784.90948604060313 68.1724853648762287.44790553154293 69.17512309952455geonode:forest_nenets_languagefeaturesforest_nenets_languageurn:ogc:def:crs:EPSG::385766.77289287184948 61.8152307664443280.19245212343083 65.91392805506699geonode:forest_nenets_language_1900_03229d6811820604055fac29a5399a0ffeaturesforest_nenets_language_1900_03229d6811820604055fac29a5399a0furn:ogc:def:crs:EPSG::385766.6532977906399 61.5616565028172480.36125610240802 66.47546171351028geonode:hill_mari_language_1900featureshill_mari_language_1900urn:ogc:def:crs:EPSG::385745.487199090605316 55.9187275799418547.58985639398226 56.94078243037673geonode:hungarian_branchfeatureshungarian_branchurn:ogc:def:crs:EPSG::385715.933032033054559 45.4831422846505526.962805395463896 48.86494804983776geonode:ingrian_and_votic_villagesfeaturesingrian_and_votic_villagesurn:ogc:def:crs:EPSG::385728.086181846021162 59.4358179621513829.003177212247166 59.83018255359459geonode:ingrian_language_1900featuresingrian_language_1900urn:ogc:def:crs:EPSG::385728.061755290282154 59.0092658101056130.584904480652977 60.00263092700017geonode:iron_age_clay_artefacts_c0ca9eea94fc0d5539201fe1179ca47ffeaturesiron_age_clay_artefacts_c0ca9eea94fc0d5539201fe1179ca47furn:ogc:def:crs:EPSG::239322.286925174545605 60.45998620753698627.337389952678752 61.70434230879498geonode:iron_age_pottery_artefacts_50e6ebfb71dceb719e8c5c7a98692f02featuresiron_age_pottery_artefacts_50e6ebfb71dceb719e8c5c7a98692f02urn:ogc:def:crs:EPSG::2393-180.0 59.64166393198133180.0 68.42645077606133geonode:iron_age_pottery_classified_308ef726a4a76a69d9c0bc337aceed13featuresiron_age_pottery_classified_308ef726a4a76a69d9c0bc337aceed13urn:ogc:def:crs:EPSG::2393-180.0 59.64166393198133180.0 68.42645077606133geonode:iron_age_stone_tools_classifiedb5229aea5258featuresiron_age_stone_tools_classifiedb5229aea5258urn:ogc:def:crs:EPSG::239317.912458734366705 59.7328138408040530.774703881989012 67.98791098409033geonode:kamas_mator_language_1900featureskamas_mator_language_1900urn:ogc:def:crs:EPSG::385790.91678375979309 52.79163754959073102.11506412642474 55.51556004773298geonode:karelian_language_1900karelian_language_1900featuresurn:ogc:def:crs:EPSG::385729.58008548999946 55.9694542898533737.51174165492562 66.98900330727233geonode:khanty_branchfeatureskhanty_branchurn:ogc:def:crs:EPSG::385762.61293979036869 57.13789420402423585.07288002321249 66.82569573060997geonode:khanty_core_language_zsirai_1900featureskhanty_core_language_zsirai_1900urn:ogc:def:crs:EPSG::385762.6238223209453 58.57343906943360481.74967340585368 66.799093792282geonode:khanty_language_abondolo_1900_dba307bc898df0f91cc85b95199d6adafeatureskhanty_language_abondolo_1900_dba307bc898df0f91cc85b95199d6adaurn:ogc:def:crs:EPSG::385761.965052836692315 57.84737177202122682.27716235876423 68.53946857268168geonode:khanty_language_haarmann_1900_a15b334fd3cc6c1d79d0f14f4a01805bfeatureskhanty_language_haarmann_1900_a15b334fd3cc6c1d79d0f14f4a01805burn:ogc:def:crs:EPSG::385763.54253318888011 57.4736916249849280.39580847481739 66.57470564257918geonode:khanty_language_lytkin_1900featureskhanty_language_lytkin_1900urn:ogc:def:crs:EPSG::385763.97643821157681 57.87012381236884685.14249138168601 67.08141759015705geonode:kildin_saami_language_1900featureskildin_saami_language_1900urn:ogc:def:crs:EPSG::385732.25261453795425 67.4152646374969738.76013149165157 69.47606028900002geonode:komi_language_1900featureskomi_language_1900urn:ogc:def:crs:EPSG::385734.21669341997724 58.2222911349617966.35081200206922 68.45082808110791geonode:komi_permyak_language_1900featureskomi_permyak_language_1900urn:ogc:def:crs:EPSG::385751.461248214578795 58.2222911349617956.13820927250469 61.000238566081784geonode:komi_zyrian_language_1900featureskomi_zyrian_language_1900urn:ogc:def:crs:EPSG::385734.22464642671838 59.2524043343084566.35081200206922 68.43617795233219geonode:ludic_languagefeaturesludic_languageurn:ogc:def:crs:EPSG::385733.48596219672441 60.96185136604679434.25608906876792 62.412407738537695geonode:lule_saami_language_1900featureslule_saami_language_1900urn:ogc:def:crs:EPSG::385712.787119988000086 65.8985644206082522.567472027596075 68.60521067900008geonode:mansi_branchfeaturesmansi_branchurn:ogc:def:crs:EPSG::385759.562640566552645 57.8919943579680368.71301787927324 64.7487214998178geonode:mari_branchfeaturesmari_branchurn:ogc:def:crs:EPSG::385745.487199090605316 54.6385120465144658.27084251900715 57.7375420562045geonode:meadow_mari_language_1900featuresmeadow_mari_language_1900urn:ogc:def:crs:EPSG::385746.813070716376515 55.85922679256188450.34974506330391 57.35923324873539geonode:medieval_livonian_villagesfeaturesmedieval_livonian_villagesurn:ogc:def:crs:EPSG::385721.39632437741173 56.5388157903698125.51178169189275 58.09497749664124geonode:moksha_language_1900featuresmoksha_language_1900urn:ogc:def:crs:EPSG::385742.5259520267527 52.4467559373642753.4117869622405 55.172502536319556geonode:monthly_cooling_demand_cdd_in_iran41e80c7e7235featuresmonthly_cooling_demand_cdd_in_iran41e80c7e7235urn:ogc:def:crs:EPSG::432644.99527778 27.214260.90027778 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