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See the README file in each subdirectory for details and instructions.\n\nThe data and RStudio project are derived from the well known publically available Palmer Penguins dataset:\n\n    https://github.com/allisonhorst/palmerpenguins\n\nThe Jupyter notebook is derived from an example notebook by the same author:\n\n    https://allisonhorst.github.io/palmerpenguins"},"field_of_science":[],"fileset":{"storage_service":"ida","csc_project":"2001394","total_files_count":13,"total_files_size":38371},"infrastructure":[],"issued":"2026-04-23","keyword":["Dataset-as-a-Service 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It also covered a lot of questions on security and attitudes related to all the above-mentioned topics. Respondents were asked about their perception of their own living standards and consumption. Respondents were also asked to compare their consumption with the \"average consumer\" across a wide range of consumer products. Respondents were asked which items and consumer goods they felt were essential and what they did when they were financially strapped. They were also asked what things they would do more of if they could afford it. Next, respondents were asked about their sense of belonging to different communities (e.g. work community, church). Further, respondents were asked to rate their own happiness, health, and life satisfaction. Respondents were asked about various risks, uncertainties, and safety. They were asked to what extent different issues are risks or sources of insecurity in society (e.g. terrorism, increasing income inequality). Respondents were also asked to what extent they support or oppose different policy measures. Finally, respondents were asked about their own and their household's combined income and loans. Background variables included the respondent's gender, age, NUTS3 region of residence, marital status, household size, number of children, level of education, economic activity, occupation, social class and political party preference.","fi":"Tutkimuksessa kartoitettiin suomalaisten elämäntapoja ja kulutustottumuksia kysymyksin nykyhetkestä sekä tulevaisuuden odotuksista. Lisäksi käsiteltiin paljon turvallisuuskysymyksiä ja kaikkiin edellä mainittuihin teemoihin liittyviä asenteita. Vastaajilta kysyttiin heidän käsitystään omasta elintasostaan ja kulutuksestaan (esim. taloudellinen tilanne, kulutusmahdollisuudet, yleinen hyvinvointi). Heitä pyydettiin myös samojen kysymysten avulla kuvailemaan tilannettaan viiden vuoden päästä. Lisäksi vastaajia pyydettiin vertailemaan kulutustaan \"keskiarvokuluttajaan\" lukuisin eri kulutustuottein. Vastaajilta tiedusteltiin mitkä asiat ja kulutushyödykkeet he kokevat välttämättömiksi sekä mitä he ovat tehneet, jos heillä on ollut taloudellisesti tiukkaa. Lisäksi tiedusteltiin mitä asioita he tekisivät enemmän, jos olisi varaa. Edelleen vastaajien kulutukseen ja elämäntapaan liittyviä asenteita kysyttiin myös erilaisin väitelausein kuten \"Jokaisen pitäisi säästää pahan päivän varalle\". Seuraavaksi vastaajilta tiedusteltiin kokemusta johonkin sukupolveen, yhteiskuntaluokkaan tai puolueen ideologiaan kuulumisesta. Tämän lisäksi kysyttiin vastaajien yhteenkuuluvuuden tunnetta suhteessa erilaisiin yhteisöihin (esim. työyhteisö, seurakunta). Edelleen vastaajia pyydettiin arvioimaan omaa onnellisuutta, terveyttä ja elämään tyytyväisyyttä. Vastaajilta tiedusteltiin erilaisista riskeistä, epävarmuustekijöistä sekä turvallisuudesta. Heiltä kysyttiin, missä määrin erilaiset asiat ovat riskejä tai epävarmuuden lähteitä yhteiskunnassa (esim. terrorismi, tuloerojen kasvu). Vastaajilta kysyttiin myös missä määrin he kannattavat tai vastustavat erilaisia poliittisia toimia. Lopuksi tiedusteltiin sekä vastaajan omia että kotitalouden yhteenlaskettuja tuloja ja lainoja. Vastaajilta kysyttiin lisäksi heidän suhtautumisestaan kyselytutkimuksiin. Taustatietoina aineistossa ovat muun muassa sukupuoli, ikä, asuinalue, siviilisääty, kotitalouden koko, lasten määrä, koulutus, pääasiallinen toiminta, ammattitiedot, yhteiskuntaluokka ja puoluekanta."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2024-03-04","keyword":["kulutus","sukupolvet","hyvinvointi","välttämättömyys","asenteet","kokemukset","elintaso","toimeentulo","sosioekonominen asema","kulutustottumukset","rahankäyttö","ostokäyttäytyminen","riskit","säästäminen","consumption","generations (age)","well-being (society)","attitudes","standard of living","socio-economic status","consumer behaviour","money","shopping","risk","savings","Kulutus ja kuluttajakäyttäytyminen","Tulot, omaisuus ja 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The respondents were asked to compare their lifestyle and consumer habits to the average consumer, and to give their opinions on consumption-related issues. The respondents were asked to evaluate their life situation at the time of the survey, in the past, and in the future on several aspects of life, such as financial situation and general welfare. They were also asked to compare their expenditure and consumer behaviour (concerning e.g. food, housing, leisure activities, alcohol, travel) to those of the average consumer. Furthermore, the respondents were asked which things and household items they considered necessary and what they would have done had they had more money. The survey carried a set of attitudinal statements about consumption and lifestyle (e.g. \"I often buy things that are on sale\" or \"Quality is more important to me than price\"). Some questions covered on what grounds respondents make decisions on economical, family or work matters. Questions on social integration measured how closely the respondents felt that they were a part of their family, workplace, Finnish society, European Union etc. The respondents were also asked which generation and social class they most closely identified with. Opinions on values were measured by asking the respondents to rate the importance of various things (e.g. self-respect, world peace, prosperity, independence). Furthermore, the respondents were asked about the safety and security of their own life, their relationships, European integration, Finnish society, and the world. The respondents' feelings of insecurity were measured by asking them about risks at the personal level (unemployment, gambling, casual sexual encounters, etc.), and at the level of society (different types of crime, terrorism, environmental problems, etc.). The survey contained questions about the income, expenditure, savings and debts of the respondents and the household. Credit card use and possible bad credit were charted. The respondents were asked about their methods of coping when short of money (borrowing, reducing expenditure, gambling, etc.) Background variables included the respondent's gender, year of birth, marital status, household size, basic and vocational education, economic activity, occupation, party preference, experiences of unemployment, and financial circumstances as well as the number of children, occupations of the spouse and parents, and voting in elections.","fi":"Tutkimuksessa kartoitettiin suomalaisten elämäntapoja ja kulutustottumuksia kysymyksin nykyhetkestä sekä viiden vuoden takaisesta tilanteesta, että myös tulevaisuuden odotuksista. Vastaajien kulutusta ja elämäntapaa tiedusteltiin suhteessa 'keskiarvokuluttajaan' sekä kysyttiin kulutukseen liittyviä asenteita. Aluksi vastaajilta tiedusteltiin omaa sekä puolison koulutusta, ammattia, toimeentuloa sekä arkipäivien tavallista viettotapaa. Lisäksi elämäntilannetta pyydettiin arvioimaan (esim. ammatillinen ja sosiaalinen asema) sekä myös kulutuksen painottumista kysyttiin lukuisin eri kulutustuottein. Vastaajia pyydettiin arvioimaan myös ajan puutteen vaikutusta niin kulutukseen kuin palkka- tai kotitaloustyön laatuun. Vastaajilta tiedusteltiin, mitkä asiat ja kulutushyödykkeet he kokevat välttämättömiksi sekä mitä he tekisivät enemmän, jos heillä olisi siihen varaa. Vastaajien kulutukseen ja elämäntapaan liittyviä asenteita kysyttiin myös väitelausein kuten \"Käyn paljon ulkona syömässä'. Vastaajien toimintaa arkielämässä kysyttiin pyytämällä arvioimaan omaa toimintaa sekä asenteita erilaisissa kuvitteellisissa tilanteissa, jotka liittyivät esimerkiksi perheeseen tai työhön. Lisäksi vastaajien yhteenkuuluvuuden tunnetta kysyttiin suhteessa erilaisiin yhteisöihin (esim. asuinyhteisö). Myös vastaajien käsitystä omasta sukupolvesta sekä poliittisia ideologioita tiedusteltiin. Myös vastaajien riski-, epävarmuuden sekä turvallisuuden kokemuksia tiedusteltiin. Vastaajia pyydettiin arvioimaan muun muassa rakkauden, aineellisen hyvinvoinnin sekä taloudellisen tasa-arvon tärkeyttä omassa elämässä. Tämän lisäksi kysyttiin kokemuksia esimerkiksi oman asuinympäristön tai kansainvälistymisen aiheuttamasta turvallisuuden tai vaihtoehtoisesti turvattomuuden tunteesta. Myös erilaisia riskitekijöitä kyseltiin niin suhteessa omaan elämään, kuin myös yhteiskuntaan (esim. terrorismi, työttömyys). Lisäksi kysyttiin vastaajien omia, sekä kotitalouden tuloja, menoja, säästöjä ja lainoja. Taustatietoina olivat muun muassa sukupuoli, syntymävuosi, asumismuoto- sekä alue, perhetilanne, kotitalouden koko sekä lasten määrä."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2017-07-11","keyword":["kulutustottumukset","hyvinvointi","elintaso","varallisuus","velkaantuminen","elämäntapa","sosioekonominen asema","arki","riskitekijät","ideologiat","turvallisuus","money","personal finance management","life styles","consumer goods","consumption","decision making","household budgets","risk","generations (age)","values","Kulutus ja kuluttajakäyttäytyminen","Sosiaalinen käyttäytyminen ja asenteet","Consumption and consumer behaviour","Social behaviour and attitudes"],"language":[{"id":"c757dc29-552d-48b2-9efc-4d53b939a7ef","url":"http://lexvo.org/id/iso639-3/fin","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"Finnish","fi":"suomi","sv":"finska"}},{"id":"ec748146-3403-4a7f-adfe-bdbb1b889372","url":"http://lexvo.org/id/iso639-3/eng","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"English","fi":"englanti","sv":"engelska"}}],"metadata_owner":{"id":"541fdb9b-f8a8-4c75-a75d-13f413454d72","organization":"fairdata.fi"},"other_identifiers":[{"notation":"urn:nbn:fi:csc-kata20170802040147774583","identifier_type":{"id":"9ea2eac4-87b3-477d-9ac6-107eb654ab2c","url":"http://uri.suomi.fi/codelist/fairdata/identifier_type/code/urn","in_scheme":"http://uri.suomi.fi/codelist/fairdata/identifier_type","pref_label":{"en":"Uniform Resource Name (URN)"}},"metax_ids":[]},{"notation":"https://doi.org/10.60686/t-fsd3170","identifier_type":{"id":"753e313e-2eb1-4f81-988c-d50e7a7cd7fb","url":"http://uri.suomi.fi/codelist/fairdata/identifier_type/code/doi","in_scheme":"http://uri.suomi.fi/codelist/fairdata/identifier_type","pref_label":{"en":"Digital Object Identifier (DOI)"}},"metax_ids":[]}],"persistent_identifier":"urn:nbn:fi:fsd:T-FSD3170","pid_generated_by_fairdata":false,"projects":[],"provenance":[{"id":"037faaf1-bb67-4b5f-87ff-6099a7d3da51","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Suomi","geolocations":{"type":"FeatureCollection","features":[]}},"temporal":{"start_date":"2004-08-16","end_date":"2004-11-03"},"is_associated_with":[],"used_entity":[],"variables":[{"id":"98f74b8c-016f-4945-b798-2d843e6afe26","pref_label":{"en":"People aged 18 - 75 who lived in Finland and spoke Finnish","fi":"18 - 75-vuotiaat suomenkieliset Suomessa asuvat"}}]},{"id":"082d3f9f-9886-4f5c-9b5a-ba7d80caf5f6","title":{"en":"Production"},"description":{"en":"Date when the data collection were produced (not distributed or archived)"},"temporal":{"start_date":"2017-07-11","end_date":"2017-07-11"},"is_associated_with":[],"used_entity":[],"variables":[]},{"id":"ad5a14bb-a350-460f-9338-28e7b83688e3","title":{"en":"Production"},"description":{"en":"Date when the data collection were produced (not distributed or archived)"},"temporal":{"start_date":"2017-08-31","end_date":"2017-08-31"},"is_associated_with":[],"used_entity":[],"variables":[]},{"id":"8ace50c1-dc56-4a79-a7ee-938ab33c4aae","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Finland","geolocations":{"type":"FeatureCollection","features":[]}},"is_associated_with":[],"used_entity":[],"variables":[]}],"relation":[],"remote_resources":[],"spatial":[{"geographic_name":"Suomi","geolocations":{"type":"FeatureCollection","features":[]}},{"geographic_name":"Finland","geolocations":{"type":"FeatureCollection","features":[]}}],"state":"published","temporal":[{"start_date":"2004-08-16","end_date":"2004-11-03"}],"theme":[],"title":{"en":"Finland 2004: Consumer Habits and Lifestyle","fi":"Suomi 2004: kulutus ja elämäntapa uuden vuosituhannen vaihteessa"},"created":"2018-06-19T12:29:01Z","modified":"2026-04-23T01:02:33Z","dataset_versions":[{"id":"92d33009-fad8-458e-8250-3fe79b5d1ddc","title":{"en":"Finland 2004: Consumer Habits and Lifestyle","fi":"Suomi 2004: kulutus ja elämäntapa uuden vuosituhannen vaihteessa"},"persistent_identifier":"urn:nbn:fi:fsd:T-FSD3170","state":"published","created":"2018-06-19T12:29:01Z","version":1}],"published_revision":8,"version":1,"api_version":3,"metadata_repository":"Fairdata"},{"id":"f924209d-8271-4592-951e-9abdec9a4686","access_rights":{"id":"5f1a7c5a-cd67-490c-9374-23efcbd579b2","license":[{"id":"35b18e72-3819-4ec6-a1be-14624f29d968","url":"http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Creative Commons Attribution 4.0 International (CC BY 4.0)","fi":"Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"}}],"access_type":{"id":"43720e8a-af93-458f-af21-3c6f16ea1d47","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/embargo","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Embargo","fi":"Embargo"}},"restriction_grounds":[{"id":"484e859f-11b5-4163-a387-25c13fcaae29","url":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/research","in_scheme":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds","pref_label":{"en":"Restriced access for research based on contract","fi":"Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön","sv":"Begränsad åtkomst på bas av kontrakt ändast för forskningsändamål"}}],"available":"2026-08-31","show_file_metadata":false},"actors":[{"id":"9daa8d53-93c1-43e2-9958-8eb9271a7236","roles":["publisher","creator"],"person":{"id":"c0cb7270-c649-4199-b033-377397988d30","name":"Eduardo Maeda","email":"<hidden>"},"organization":{"id":"b65efb2c-fd48-4b76-9837-c6f05216d4bd","pref_label":{"en":"University of Helsinki","fi":"Helsingin yliopisto","sv":"Helsingfors universitet","und":"Helsingin yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/01901","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"4aae21e3-c028-45b2-a6b9-7631c07463b6","roles":["creator"],"person":{"id":"e8e1df6d-8c5f-4a62-9f60-66be9c6782ba","name":"Eleanor Downie"},"organization":{"id":"b65efb2c-fd48-4b76-9837-c6f05216d4bd","pref_label":{"en":"University of Helsinki","fi":"Helsingin yliopisto","sv":"Helsingfors universitet","und":"Helsingin yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/01901","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-ida","description":{"en":"This repository contains data and scripts used for the analysis and figure creation in the paper. All R scripts in this directory are designed to run seamlessly if the working directory is set to the same location where the scripts are stored. You can easily set the working directory in R by right-clicking on the script file and selecting “Set As Working Directory.” The data is split into 4 main folders:\n\n1.\tBiomass – Contains the script and data used to produce the biomass figure (Figure 2) including the AnalyzeBiomass.R script and an example FORMIND parametrisation and output results before any fragmentation parameters were applied.\n\n2.\tLiDAR Forest Stand - Holds the script and data for visualizing voxel forests at different growth stages, with an example of the parameterisation files and results for pre- and post-fragmentation simulations.\n\n3.\tNLME - Includes scripts for creating and plotting non-linear mixed models (NLME) of the forest structural metrics from both FORMIND and TLS datasets, as used in Figures 10-12.\n\n4.\tVertical Profiles - Contains scripts and data for generating vertical profiles from various FORMIND parameterizations, corresponding to Figures 5, 7, and 9."},"field_of_science":[{"id":"7334f2e9-1aae-4b87-9088-8226211b06c9","url":"http://www.yso.fi/onto/okm-tieteenala/ta1171","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Geosciences","fi":"Geotieteet","sv":"Geovetenskaper"}},{"id":"99add68c-0c1f-4248-ad68-d0b57d89c984","url":"http://www.yso.fi/onto/okm-tieteenala/ta1172","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Environmental sciences","fi":"Ympäristötiede","sv":"Miljövetenskap"}}],"fileset":{"storage_service":"ida","csc_project":"2001208","total_files_count":52,"total_files_size":3122129167},"infrastructure":[],"issued":"2026-04-22","keyword":["LiDAR","FORMIND","Forest fragmentation","Amazon","Tropical forests"],"language":[{"id":"ec748146-3403-4a7f-adfe-bdbb1b889372","url":"http://lexvo.org/id/iso639-3/eng","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"English","fi":"englanti","sv":"engelska"}}],"metadata_owner":{"id":"368f4722-7d48-47a4-a071-f43877bddf04","organization":"helsinki.fi","admin_organization":"helsinki.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.23729/fd-660cd5cc-e8c0-3b4d-aad2-2840f1a12116","pid_generated_by_fairdata":true,"projects":[],"provenance":[],"relation":[],"remote_resources":[],"spatial":[],"state":"published","temporal":[],"theme":[],"title":{"en":"Data and code for: Fragmented Amazonian forest structure modelling using FORMIND"},"created":"2026-04-22T13:23:20Z","modified":"2026-04-22T13:24:56Z","dataset_versions":[{"id":"f924209d-8271-4592-951e-9abdec9a4686","title":{"en":"Data and code for: Fragmented Amazonian forest structure modelling using 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4.0)"}}],"access_type":{"id":"d01ac02c-fc70-4c68-9434-8383cb693ff0","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/open","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Open","fi":"Avoin"}},"restriction_grounds":[],"show_file_metadata":true},"actors":[{"id":"be4e4983-8321-48fd-8492-3905388eabdf","roles":["creator"],"person":{"id":"f2860cf3-97a6-44ba-a71c-0b84ae3e4755","name":"Tiina Markkanen","email":"<hidden>"},"organization":{"id":"524da5e3-4236-4009-985f-4c4c60fbb30a","pref_label":{"fi":"Finnish Meteorological Institute"}}},{"id":"d5e766a9-83da-41f5-bcd2-1698bb197765","roles":["creator"],"person":{"id":"77fe943a-963b-4e56-8ce7-1a19b89d7702","name":"Ismo Lahtinen"},"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"64412109-2a52-47e6-b5b4-b85c20da0877","roles":["contributor"],"person":{"id":"6ba2663a-4ee0-44c2-bf12-2afb6c366f5f","name":"Kristin Böttcher","email":"<hidden>"},"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"5d982476-ac56-4808-ad74-32c15a3cf8b7","roles":["publisher","rights_holder"],"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-ida","description":{"fi":"The land ecosystem model JSBACH was used to produce annual values for key climate change indicators for the period 1981 to 2099. The climate change indicators were derived for all of mainland Finland and they include gross primary production (GPP), total ecosystem respiration (TER), net ecosystem exchange (NEE), and start, end and length of vegetation active period. The mean values are given for four time periods, a baseline (1981–2010) and for three scenario periods (2011–2040, 2041–2070, 2071–2099). Additionally changes from the baseline are given for the scenario periods.\nThe dataset contains simulations results for selected response variables of JSBACH model for 2 climate change scenarios (RCP4.5, 8.5) and 5 and 4 climate model inputs, respectively.\n\nProcessing\n\nPlant functional type distribution in JSBACH simulations for Finland is based on Finnish Corine land cover 2012 data and aggregated to a 0.1 x 0.1 degree geographic grid. Yearly values are calculated from daily model output and further averaged for thirty year periods.\n\nThe land surface model resolves plant functional type specific GPP, TER and NEE values for each grid cell within the model domain. Those are subsequently aggregated to grid cell specific values. Start and end of vegetation active period are estimated from GPP using an assumption that GPP of the active period exceeds 15% of the summertime GPP maximum. Agricultural plant functional types have been excluded from calculation of vegetation active period. Values for 30 year periods have further been interpolated to planar grid of resolution of 10km.\n\nhttps://www.climateguide.fi/articles/ecosystem-modelling\n\nJSBACH present day GPP estimates have been compared against PREBAS (PRELES) model for Finland in Peltoniemi et al (2015). The timing of spring events due to vegetation phenology in Finland has been assessed against satellite observations by Böttcher et al (2016). The ability of the model to estimate the drought risk of Finnish forest ecosystems have been assessed by Gao et al (2016).\n\nResources\n\nMaps of the climate change indicators and descriptive statistics for Finland or selected regions can be viewed in climateguide.fi under the section ‘Impacts of climate change’. The following indicators are available from JSBACH simulations: gross primary production (GPP), total ecosystem respiration (TER), net ecosystem exchange (NEE)and start, end and length of vegetation active period. The user can select maps showing the mean values for four time periods, a baseline (1981–2010) and for three scenario periods (2011–2040, 2041–2070, 2071–2100). Additionally changes from the baseline can be viewed for a given scenario period.\n\nhttps://www.climateguide.fi/articles/impact-scenarios-of-climate-change\n\nThe data can be accessed via a Web Feature Service (WFS) supporting versions 1.0.0 and 1.1.0. WFS services can be opened in various GIS applications, for example ArcGIS for Desktop and open source desktop application QGIS.\n\nTypically, the GIS applications loads data from a WFS service in a GML (Geography Markup Language) format. Additionally, the Monimet data can be loaded as zip compressed ESRI Shape files, a CSV file or a JSON file.\n\nThe service includes 6 feature types representing JSBACH simulations.\n\ntereco_grossphotosynthesisjsbach - Gross primary production, JSBACH model (gC/m2/a)\ntereco_netcarbonbalancejsbach - Net ecosystem exchange, JSBACH model (gC/m2/a)\ntereco_totalrespirationjsbach - Total ecosystem respiration rate TER, JSBACH model (gC/m2/a)\ntereco_vapendjsbach - End of vegetation active period, JSBACH model (day of year)\ntereco_vaplengthjsbach - Length of vegetation active period, JSBACH model (days)\ntereco_vapstartjsbach - Start of vegetation active period, JSBACH model (day of year)\n\nThe attributes of each feature type are labelled as [climateModel]_[emissionScenario]_[timePeriod]_0_[valueType].\n\nThere are five climate models.\n\ncanesm2bc - CanESM2\ncnrmcm5bc - CNRM-CM5\ngfdlcm3bc - GFDL-CM3\nhadgem2esbc - HadGEM2-ES\nmiroc5bc - MIROC5\n\nThere are three emission scenarios.\n\nrcp26 - RCP 2.6\nrcp45 - RCP 4.5\nrcp85 - RCP 8.5\n\nThe timePeriod includes the start year and the end year of the period respectively.\n\nThere are three options for valueType.\n\nrc - relative change\nac - absolute change\nav - value\n\nFor example, the attribute labeled as hadgem2es_rcp45_20712100_0_ac describes the climate model HadGEM2-ES, the emission scenario RCP 4.5, a time period from 2011 to 2040 and absolute changes.\n\nhttps://paikkatiedot.ymparisto.fi/geoserver/ilmo-climateguide/wms?request=getcapabilities\n\nMaps of the climate change indicators and descriptive statistics for Finland or selected regions can be viewed in climateguide.fi under the section ‘Impacts of climate change’. The following indicators are available from JSBACH simulations: gross primary production (GPP), total ecosystem respiration (TER), net ecosystem exchange (NEE)and start, end and length of vegetation active period. The user can select maps showing the mean values for four time periods, a baseline (1981–2010) and for three scenario periods (2011–2040, 2041–2070, 2071–2100). Additionally changes from the baseline can be viewed for a given scenario period.\n\nhttps://www.climateguide.fi/articles/impact-scenarios-of-climate-change"},"field_of_science":[],"infrastructure":[],"issued":"2024-05-13","keyword":["carbon","boreal","climate change","simulation","vegetation phenology"],"language":[],"metadata_owner":{"id":"6e85fc7a-2c61-45e3-8f96-3cc73065346b","organization":"syke.fi","admin_organization":"syke.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.23729/fd-18ac382c-d916-3564-8693-d880ff7b0595","pid_generated_by_fairdata":true,"projects":[{"id":"6daa3191-eef1-4f25-90ea-2ae866a29abc","title":{"en":"MONIMET"},"project_identifier":"LIFE07 ENV/FIN/000409","participating_organizations":[{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}],"funding":[]}],"provenance":[],"relation":[{"entity":{"title":{"en":"Böttcher, Markkanen, Thum, Aalto, Aurela, Reick, Kolari, Arslan, Pulliainen: Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations","fi":"Böttcher, Markkanen, Thum, Aalto, Aurela, Reick, Kolari, Arslan, Pulliainen: Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations"},"description":{"en":"<jats:p>The objective of this study was to assess the performance of the simulated start of the photosynthetically active season by a large-scale biosphere model in boreal forests in Finland with remote sensing observations. The start of season for two forest types, evergreen needle- and deciduous broad-leaf, was obtained for the period 2003–2011 from regional JSBACH (Jena Scheme for Biosphere–Atmosphere Hamburg) runs, driven with climate variables from a regional climate model. The satellite-derived start of season was determined from daily Moderate Resolution Imaging Spectrometer (MODIS) time series of Fractional Snow Cover and the Normalized Difference Water Index by applying methods that were targeted to the two forest types. The accuracy of the satellite-derived start of season in deciduous forest was assessed with bud break observations of birch and a root mean square error of seven days was obtained. The evaluation of JSBACH modelled start of season dates with satellite observations revealed high spatial correspondence. The bias was less than five days for both forest types but showed regional differences that need further consideration. The agreement with satellite observations was slightly better for the evergreen than for the deciduous forest. Nonetheless, comparison with gross primary production (GPP) determined from CO2 flux measurements at two eddy covariance sites in evergreen forest revealed that the JSBACH-simulated GPP was higher in early spring and led to too-early simulated start of season dates. Photosynthetic activity recovers differently in evergreen and deciduous forests. While for the deciduous forest calibration of phenology alone could improve the performance of JSBACH, for the evergreen forest, changes such as seasonality of temperature response, would need to be introduced to the photosynthetic capacity to improve the temporal development of gross primary production.</jats:p>","fi":"<jats:p>The objective of this study was to assess the performance of the simulated start of the photosynthetically active season by a large-scale biosphere model in boreal forests in Finland with remote sensing observations. The start of season for two forest types, evergreen needle- and deciduous broad-leaf, was obtained for the period 2003–2011 from regional JSBACH (Jena Scheme for Biosphere–Atmosphere Hamburg) runs, driven with climate variables from a regional climate model. The satellite-derived start of season was determined from daily Moderate Resolution Imaging Spectrometer (MODIS) time series of Fractional Snow Cover and the Normalized Difference Water Index by applying methods that were targeted to the two forest types. The accuracy of the satellite-derived start of season in deciduous forest was assessed with bud break observations of birch and a root mean square error of seven days was obtained. The evaluation of JSBACH modelled start of season dates with satellite observations revealed high spatial correspondence. The bias was less than five days for both forest types but showed regional differences that need further consideration. The agreement with satellite observations was slightly better for the evergreen than for the deciduous forest. Nonetheless, comparison with gross primary production (GPP) determined from CO2 flux measurements at two eddy covariance sites in evergreen forest revealed that the JSBACH-simulated GPP was higher in early spring and led to too-early simulated start of season dates. Photosynthetic activity recovers differently in evergreen and deciduous forests. While for the deciduous forest calibration of phenology alone could improve the performance of JSBACH, for the evergreen forest, changes such as seasonality of temperature response, would need to be introduced to the photosynthetic capacity to improve the temporal development of gross primary production.</jats:p>","und":"<jats:p>The objective of this study was to assess the performance of the simulated start of the photosynthetically active season by a large-scale biosphere model in boreal forests in Finland with remote sensing observations. The start of season for two forest types, evergreen needle- and deciduous broad-leaf, was obtained for the period 2003–2011 from regional JSBACH (Jena Scheme for Biosphere–Atmosphere Hamburg) runs, driven with climate variables from a regional climate model. The satellite-derived start of season was determined from daily Moderate Resolution Imaging Spectrometer (MODIS) time series of Fractional Snow Cover and the Normalized Difference Water Index by applying methods that were targeted to the two forest types. The accuracy of the satellite-derived start of season in deciduous forest was assessed with bud break observations of birch and a root mean square error of seven days was obtained. The evaluation of JSBACH modelled start of season dates with satellite observations revealed high spatial correspondence. The bias was less than five days for both forest types but showed regional differences that need further consideration. The agreement with satellite observations was slightly better for the evergreen than for the deciduous forest. Nonetheless, comparison with gross primary production (GPP) determined from CO2 flux measurements at two eddy covariance sites in evergreen forest revealed that the JSBACH-simulated GPP was higher in early spring and led to too-early simulated start of season dates. Photosynthetic activity recovers differently in evergreen and deciduous forests. While for the deciduous forest calibration of phenology alone could improve the performance of JSBACH, for the evergreen forest, changes such as seasonality of temperature response, would need to be introduced to the photosynthetic capacity to improve the temporal development of gross primary production.</jats:p>"},"entity_identifier":"https://doi.org/10.3390/rs8070580","type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}},"metax_ids":[]},{"entity":{"title":{"en":"Gao, Markkanen, Thum, Aurela, Lohila, Mammarella, Hagemann, Aalto: Assessing various drought indicators in representing drought in boreal forests in Finland","fi":"Gao, Markkanen, Thum, Aurela, Lohila, Mammarella, Hagemann, Aalto: Assessing various drought indicators in representing drought in boreal forests in Finland"},"description":{"en":"<jats:p>Abstract. Droughts can impact on forest functioning and production, and even lead to tree mortality. However, drought is an elusive phenomenon that is difficult to quantify and define universally. In this study, we assessed the performance of a set of indicators that have been used to describe drought conditions in the summer months (June, July, August) over a 30 year period (1981–2010) in Finland. Those indicators include the Standardized Precipitation Index (SPI), the Standardized Precipitation–Evapotranspiration Index (SPEI), the Soil Moisture Index (SMI) and the Soil Moisture Anomaly (SMA). Herein, regional soil moisture was produced by the land surface model JSBACH. While SPI, SPEI, and SMA show a degree of anomalies from the statistical means over a period, SMI is directly connected to plant available water and closely dependent on soil properties. Moreover, the buffering effect of soil moisture and the associated soil moisture memory can impact on the onset and duration of drought as indicated by the SMI and SMA, whereas SPI and SPEI are directly controlled by meteorological conditions.  In particular, we investigated whether the SMI, SMA and SPEI are able to indicate the Extreme Drought affecting Forest health (EDF) in Finland. EDF thresholds for these indicators are suggested, based on the spatially representative statistics of forest health observations in the exceptional dry year 2006. Our results showed that SMI was the best indicator in capturing the spatial extent of forest damage induced by the extreme drought in 2006. In addition, the derived thresholds were applied to those indicators to capture EDF events over the summer months of the 30 year study period. The SPEI and SMA showed more frequent EDF events over the 30 year period, and typically described a higher fraction of influenced area than SMI. In general, the suggested EDF thresholds for those indicators may be used for the indication of EDF events in Finland or other boreal forests areas in the context of future climate scenarios. However, the results have to be interpreted carefully, with due consideration of their different properties and the complexity of drought. Our results would suggest that in order to take appropriate precautions to mitigate against possible forest losses, an integrated analysis of projected drought with drought indicators is recommended.</jats:p>","fi":"<jats:p>Abstract. Droughts can impact on forest functioning and production, and even lead to tree mortality. However, drought is an elusive phenomenon that is difficult to quantify and define universally. In this study, we assessed the performance of a set of indicators that have been used to describe drought conditions in the summer months (June, July, August) over a 30 year period (1981–2010) in Finland. Those indicators include the Standardized Precipitation Index (SPI), the Standardized Precipitation–Evapotranspiration Index (SPEI), the Soil Moisture Index (SMI) and the Soil Moisture Anomaly (SMA). Herein, regional soil moisture was produced by the land surface model JSBACH. While SPI, SPEI, and SMA show a degree of anomalies from the statistical means over a period, SMI is directly connected to plant available water and closely dependent on soil properties. Moreover, the buffering effect of soil moisture and the associated soil moisture memory can impact on the onset and duration of drought as indicated by the SMI and SMA, whereas SPI and SPEI are directly controlled by meteorological conditions.  In particular, we investigated whether the SMI, SMA and SPEI are able to indicate the Extreme Drought affecting Forest health (EDF) in Finland. EDF thresholds for these indicators are suggested, based on the spatially representative statistics of forest health observations in the exceptional dry year 2006. Our results showed that SMI was the best indicator in capturing the spatial extent of forest damage induced by the extreme drought in 2006. In addition, the derived thresholds were applied to those indicators to capture EDF events over the summer months of the 30 year study period. The SPEI and SMA showed more frequent EDF events over the 30 year period, and typically described a higher fraction of influenced area than SMI. In general, the suggested EDF thresholds for those indicators may be used for the indication of EDF events in Finland or other boreal forests areas in the context of future climate scenarios. However, the results have to be interpreted carefully, with due consideration of their different properties and the complexity of drought. Our results would suggest that in order to take appropriate precautions to mitigate against possible forest losses, an integrated analysis of projected drought with drought indicators is recommended.</jats:p>","und":"<jats:p>Abstract. Droughts can impact on forest functioning and production, and even lead to tree mortality. However, drought is an elusive phenomenon that is difficult to quantify and define universally. In this study, we assessed the performance of a set of indicators that have been used to describe drought conditions in the summer months (June, July, August) over a 30 year period (1981–2010) in Finland. Those indicators include the Standardized Precipitation Index (SPI), the Standardized Precipitation–Evapotranspiration Index (SPEI), the Soil Moisture Index (SMI) and the Soil Moisture Anomaly (SMA). Herein, regional soil moisture was produced by the land surface model JSBACH. While SPI, SPEI, and SMA show a degree of anomalies from the statistical means over a period, SMI is directly connected to plant available water and closely dependent on soil properties. Moreover, the buffering effect of soil moisture and the associated soil moisture memory can impact on the onset and duration of drought as indicated by the SMI and SMA, whereas SPI and SPEI are directly controlled by meteorological conditions.  In particular, we investigated whether the SMI, SMA and SPEI are able to indicate the Extreme Drought affecting Forest health (EDF) in Finland. EDF thresholds for these indicators are suggested, based on the spatially representative statistics of forest health observations in the exceptional dry year 2006. Our results showed that SMI was the best indicator in capturing the spatial extent of forest damage induced by the extreme drought in 2006. In addition, the derived thresholds were applied to those indicators to capture EDF events over the summer months of the 30 year study period. The SPEI and SMA showed more frequent EDF events over the 30 year period, and typically described a higher fraction of influenced area than SMI. In general, the suggested EDF thresholds for those indicators may be used for the indication of EDF events in Finland or other boreal forests areas in the context of future climate scenarios. However, the results have to be interpreted carefully, with due consideration of their different properties and the complexity of drought. Our results would suggest that in order to take appropriate precautions to mitigate against possible forest losses, an integrated analysis of projected drought with drought indicators is recommended.</jats:p>"},"entity_identifier":"https://doi.org/10.5194/hessd-12-8091-2015","type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}},"metax_ids":[]},{"entity":{"title":{"fi":"Peltoniemi M., Markkanen T., Härkönen S., Muukkonen P., Thum T., Aalto T. & Mäkelä A. , 2015: Consistent estimates of gross primary production of Finnish forests — comparison of estimates of two process models. Boreal Env. Res. 20: 196–212. Available from, www.borenv.net/BER/pdfs/ber20/ber20-196.pdf."},"type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}}}],"remote_resources":[],"spatial":[],"state":"published","temporal":[{"start_date":"1981-01-01","end_date":"2099-12-31"}],"theme":[],"title":{"fi":"JSBACH simulation dataset in Climate Guide"},"created":"2026-03-12T11:17:03Z","modified":"2026-04-22T09:42:33Z","dataset_versions":[{"id":"27a8bb20-820a-473d-a9f9-deba67579979","title":{"fi":"JSBACH simulation dataset in Climate Guide"},"persistent_identifier":"doi:10.23729/fd-18ac382c-d916-3564-8693-d880ff7b0595","state":"published","created":"2026-03-12T11:17:03Z","version":1}],"published_revision":2,"version":1,"api_version":3,"metadata_repository":"Fairdata"},{"id":"c19dc933-c2e2-4077-8642-20a532fc78e0","access_rights":{"id":"cdb8da16-a801-480a-918c-efe1116190f1","license":[{"id":"35b18e72-3819-4ec6-a1be-14624f29d968","url":"http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Creative Commons Attribution 4.0 International (CC BY 4.0)","fi":"Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"}}],"access_type":{"id":"d01ac02c-fc70-4c68-9434-8383cb693ff0","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/open","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Open","fi":"Avoin"}},"restriction_grounds":[],"show_file_metadata":true},"actors":[{"id":"33e1ca5e-5061-4b6f-8896-11775b0f985e","roles":["creator"],"person":{"id":"7bf0deef-dcf7-4400-8e51-30114209f172","name":"Noora Veijalainen","email":"<hidden>"},"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"719976e0-f8d4-4196-bb8f-7554d21f227b","roles":["creator"],"person":{"id":"800a7329-f0d1-471f-970f-958a8c78e52c","name":"Juho Jakkila"},"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"47c4cf71-5a09-4921-a1d5-d2ad4941ad5a","roles":["publisher"],"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-ida","description":{"en":"Climate change affect water resources through shorter snow seasons, changed rainfall patterns and increased evaporation. This dataset includes water resources indicators related to the duration of the snow cover, water equivalent of snow, soil moisture deficit, evaporation, runoff and time of occurrence of the greatest runoff. Data are available on a regular 10 km x 10 km over Finland under current and future climate.\n\nData processing\n\n30-year average are shown on a regular 10 km x 10 km over Finland for the baseline period 1981-2010 and three future periods, 2010–2039, 2040–2069 and 2070–2099, under 20 climate scenarios selected from the CMIP5 ensemble: low emissions (RCP2.6), moderate emissions (RCP4.5), moderate-high emissions (RCP6.0) and high emissions (RCP8.5) simulated with 14 Global Climate Models (CCSM4, NorESM1-M, GISS-E2-H, MIROC5, HadGEM2-CC, HadGEM2-ES, GFDL-CM3, MIROC-ESM-CHEM, MIROC-ESM, MPI-ESM-MR, CESM1-BGC, GISS-E2-R, CESM1-CAM5, MRI-CGCM3).\n\nScenarios of variables related water resources have been produced with the Finnish Environment Institute's (Syke) Watershed Simulation and Forecasting System (WSFS) (Vehviläinen & Huttunen 2002). The WSFS is used to draft hydrological predictions and warn of floods in Finland (https://www.vesi.fi/). The most important part of the system is a runoff model that describes the hydrological cycle from precipitation to runoff using normal meteorological material as the starting information (Bergström 1976). The model covers the whole land area of Finland, a total of 390,000 km², including cross-boundary watersheds overrunning the border. The model operates on a watershed sub-division level and the area is divided to approximately 6,400 watershed sub-divisions. The model's input data include precipitation and temperature, while the modelled variables of hydrological cycle include snow accumulation and melting, soil moisture, evaporation, ground water, runoff and discharge and water levels of the main rivers and lakes. The following indicators are included:\nEvaporation sum (unit: mm)\nMaximum runoff (mm)\nSeasonal and annual total runoff (mm)\nSnow cover duration (days)\nMaximum Snow Water Equivalent (kg/m2)\nSoil moisture deficit (mm)\nSeasonal flood timing (percent of years)\n\nAdditional information: https://www.climateguide.fi/articles/finnish-environment-institutes-watershed-simulation-and-forecasting-system\n\nDetails of the analysis to construct this dataset are described in Veijalainen et al. (2019).\n\nData access\n\nhttps://paikkatiedot.ymparisto.fi/geoserver/ilmo-climateguide/wms?request=getcapabilities\n\nThe data can be accessed via a Web Feature Service (WFS) supporting versions 1.0.0 and 1.1.0. WFS services can be opened in various GIS applications, for example ArcGIS for Desktop and open source desktop application QGIS. Typically, the GIS applications loads data from a WFS service in a GML (Geography Markup Language) format. Additionally, the data can be loaded as zip compressed ESRI Shape files, a CSV file or a JSON file. The service includes 14 feature types representing WSFS simulations:\nhydro_landevaporation -- Evaporation sum (mm)\nhydro_runoffmaximumaverage – Maximum runoff (mm)\nhydro_runoffsumaverage_1 – winter (Dec-Feb) total runoff (mm)\nhydro_runoffsumaverage_2 – spring (Mar-May) total runoff (mm)\nhydro_runoffsumaverage_3 – summer (Jun-Aug) total runoff (mm)\nhydro_runoffsumaverage_4 – autumn (Sep-Nov) total runoff (mm)\nhydro_runoffsumaverage – annual total runoff (mm)\nhydro_snowcoverdays – Snow cover duration (days)\nhydro_snowwaterequivalent – Maximum Snow Water Equivalent (kg/m2)\nhydro_soilmoisturedeficit – Soil moisture deficit (mm)\nhydro_timingmaxrunoff_1 – Percentage of years with the maximum flood in winter (Dec-Feb) (percent of years)\nhydro_timingmaxrunoff_2 – Percentage of years with the maximum flood in spring (Mar-May) (percent of years)\nhydro_timingmaxrunoff_3 – Percentage of years with the maximum flood in summer (Jun-Aug) (percent of years)\nhydro_timingmaxrunoff_4 – Percentage of years with the maximum flood in autumn (Sep-Nov) (percent of years)\n\n\nThe attributes of each feature type are labelled as [climateModel]_[emissionScenario]_[timePeriod]_0_[valueType]. There are 14 climate models and four forcing (or emission) scenarios rcp26, rcp45, rcp60 and rcp85. The timePeriod includes the start year and the end year of the period. There are three options for valueType, absolute value “av”, absolute change “ac” and relative change “rc”. For example, the attribute labeled as mpiesmmr_rcp85_20702099_0_rc describes the climate model MPI-ES-MMR, the forcing scenario RCP8.5, the time period from 2070 to 2099 and relative change (expressed as %)."},"field_of_science":[],"infrastructure":[],"issued":"2024-04-10","keyword":["climate change","hydrology","indicator","snow","water"],"language":[{"id":"ec748146-3403-4a7f-adfe-bdbb1b889372","url":"http://lexvo.org/id/iso639-3/eng","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"English","fi":"englanti","sv":"engelska"}}],"metadata_owner":{"id":"3ff46a79-6c0d-4044-af2b-f59e92e5fd54","organization":"syke.fi","admin_organization":"syke.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.23729/fd-23f05976-3b1f-30cd-906e-920ee55d00bd","pid_generated_by_fairdata":true,"projects":[{"id":"c928d5b5-86fb-4c0e-a722-68c0b52bc7e0","title":{"en":"EIFFEL"},"project_identifier":"Grant agreement 101003518","participating_organizations":[{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}],"funding":[{"funder":{"funder_type":{"id":"6be2b361-67b7-429f-9365-58229de639f2","url":"http://uri.suomi.fi/codelist/fairdata/funder_type/code/eu-framework-programme","in_scheme":"http://uri.suomi.fi/codelist/fairdata/funder_type","pref_label":{"en":"EU Framework Programme","fi":"EU puiteohjelmat"}}}}]}],"provenance":[],"relation":[{"entity":{"title":{"fi":"Vehviläinen, B. & Huttunen, M. 2002. The Finnish watershed simulation and forecasting system (WSFS). Publication of the 21st conference of Danube countries on the hydrological forecasting and hydrological bases of water management."},"type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}}},{"entity":{"title":{"fi":"Bergström, S. (1976). Development and application of a conceptual runoff model for Scandinavian catchments.SMHI. Nr RH7. Norrköping."},"type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}}},{"entity":{"title":{"en":"Veijalainen, Ahopelto, Marttunen, Jääskeläinen, Britschgi, Orvomaa, Belinskij, Keskinen: Severe Drought in Finland: Modeling Effects on Water Resources and Assessing Climate Change Impacts","fi":"Veijalainen, Ahopelto, Marttunen, Jääskeläinen, Britschgi, Orvomaa, Belinskij, Keskinen: Severe Drought in Finland: Modeling Effects on Water Resources and Assessing Climate Change Impacts"},"description":{"en":"<jats:p>Severe droughts cause substantial damage to different socio-economic sectors, and even Finland, which has abundant water resources, is not immune to their impacts. To assess the implications of a severe drought in Finland, we carried out a national scale drought impact analysis. Firstly, we simulated water levels and discharges during the severe drought of 1939–1942 (the reference drought) in present-day Finland with a hydrological model. Secondly, we estimated how climate change would alter droughts. Thirdly, we assessed the impact of drought on key water use sectors, with a focus on hydropower and water supply. The results indicate that the long-lasting reference drought caused the discharges to decrease at most by 80% compared to the average annual minimum discharges. The water levels generally fell to the lowest levels in the largest lakes in Central and South-Eastern Finland. Climate change scenarios project on average a small decrease in the lowest water levels during droughts. Severe drought would have a significant impact on water-related sectors, reducing water supply and hydropower production. In this way drought is a risk multiplier for the water–energy–food security nexus. We suggest that the resilience to droughts could be improved with region-specific drought management plans and by including droughts in existing regional preparedness exercises.</jats:p>","fi":"<jats:p>Severe droughts cause substantial damage to different socio-economic sectors, and even Finland, which has abundant water resources, is not immune to their impacts. To assess the implications of a severe drought in Finland, we carried out a national scale drought impact analysis. Firstly, we simulated water levels and discharges during the severe drought of 1939–1942 (the reference drought) in present-day Finland with a hydrological model. Secondly, we estimated how climate change would alter droughts. Thirdly, we assessed the impact of drought on key water use sectors, with a focus on hydropower and water supply. The results indicate that the long-lasting reference drought caused the discharges to decrease at most by 80% compared to the average annual minimum discharges. The water levels generally fell to the lowest levels in the largest lakes in Central and South-Eastern Finland. Climate change scenarios project on average a small decrease in the lowest water levels during droughts. Severe drought would have a significant impact on water-related sectors, reducing water supply and hydropower production. In this way drought is a risk multiplier for the water–energy–food security nexus. We suggest that the resilience to droughts could be improved with region-specific drought management plans and by including droughts in existing regional preparedness exercises.</jats:p>","und":"<jats:p>Severe droughts cause substantial damage to different socio-economic sectors, and even Finland, which has abundant water resources, is not immune to their impacts. To assess the implications of a severe drought in Finland, we carried out a national scale drought impact analysis. Firstly, we simulated water levels and discharges during the severe drought of 1939–1942 (the reference drought) in present-day Finland with a hydrological model. Secondly, we estimated how climate change would alter droughts. Thirdly, we assessed the impact of drought on key water use sectors, with a focus on hydropower and water supply. The results indicate that the long-lasting reference drought caused the discharges to decrease at most by 80% compared to the average annual minimum discharges. The water levels generally fell to the lowest levels in the largest lakes in Central and South-Eastern Finland. Climate change scenarios project on average a small decrease in the lowest water levels during droughts. Severe drought would have a significant impact on water-related sectors, reducing water supply and hydropower production. In this way drought is a risk multiplier for the water–energy–food security nexus. We suggest that the resilience to droughts could be improved with region-specific drought management plans and by including droughts in existing regional preparedness exercises.</jats:p>"},"entity_identifier":"https://doi.org/10.3390/su11082450","type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}},"metax_ids":[]}],"remote_resources":[],"spatial":[],"state":"published","temporal":[{"start_date":"1981-01-01","end_date":"2099-12-31"}],"theme":[],"title":{"en":"Water resource indicator dataset in Climate Guide"},"created":"2026-03-12T11:43:02Z","modified":"2026-04-21T15:39:23Z","dataset_versions":[{"id":"c19dc933-c2e2-4077-8642-20a532fc78e0","title":{"en":"Water resource indicator dataset in Climate Guide"},"persistent_identifier":"doi:10.23729/fd-23f05976-3b1f-30cd-906e-920ee55d00bd","state":"published","created":"2026-03-12T11:43:02Z","version":1}],"published_revision":2,"version":1,"api_version":3,"metadata_repository":"Fairdata"},{"id":"5a31525e-a4bc-465e-8736-6288830b11b2","access_rights":{"id":"d750faa6-409e-4061-8c8e-220d1ddb5ebf","license":[{"id":"35b18e72-3819-4ec6-a1be-14624f29d968","url":"http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Creative Commons Attribution 4.0 International (CC BY 4.0)","fi":"Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"}}],"access_type":{"id":"d01ac02c-fc70-4c68-9434-8383cb693ff0","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/open","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Open","fi":"Avoin"}},"restriction_grounds":[],"show_file_metadata":true},"actors":[{"id":"ca3f2e12-53f3-4edd-9064-584cda976035","roles":["creator"],"person":{"id":"1dc7db5f-ffb0-432c-b971-60a2d42800c5","name":"Niko Karvosenoja","email":"<hidden>"},"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"ae88ffca-0bef-4c56-870a-1eb4df145941","roles":["creator"],"person":{"id":"7f58f08d-2ed5-4969-8ad2-4b6cef2ae16e","name":"Ville-Veikko Paunu","email":"<hidden>"},"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"76278d6f-1644-4cac-a4e1-fe6f74477531","roles":["creator"],"person":{"id":"e889d344-8db1-4fdb-ac60-f6bad239ac1d","name":"Mikko Savolahti","email":"<hidden>"},"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"b76f4b2f-17b3-4c79-80c1-77aed9f51004","roles":["publisher","rights_holder"],"organization":{"id":"56addf29-2163-45c6-8e44-b3c0a3c604f5","pref_label":{"en":"Finnish Environment Institute","fi":"Suomen ympäristökeskus","sv":"Finlands miljöcentral","und":"Suomen ympäristökeskus"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/7020017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-ida","description":{"en":"Theme: Environment and Conservation\n\nThe dataset contains anthropogenic air pollution and greenhouse gas emissions from Finland for 2019 and 2030. The emissions are calculated with the Finnish Regional Emission Scenario (FRES) model developed at the Finnish Environment Institute. The pollutants included are PM10, PM2.5, PM1, BC, OC, NOx, SO2, CO, VOC, NH3, BaP, CO2, CO2bio, CH4 and N2O. CO2bio refers to biogenic CO2 emissions, e.g. wood combustion. The emissions are given separately for point sources on municipal level and area sources on 250 m x 250 m resolution. The point source emissions indicate the emissions from major energy production and industrial plants. They are calculated based on several year average emissions and are not the officially reported emissions. The area sources are aggregated to 8 sectors: traffic exhaust, traffic dust, machinery and off-road, small scale wood combustion, other small scale combustion, agriculture, peat production, and other area sources.\n\nData processing steps: processing\n\nThe emissions are calculated using the FRES-model. All annual emission estimates are calculated as a product of activity data (fuel use/mileage/land area etc.) and emission factors for a given pollutant or greenhouse gas. Some sources also include technologies for emission reduction. Historical and projected emissions are estimated in five-year intervals. The latest year for historical emissions is currently 2015.\n\nPoint sources:\nPoint sources are combustion/industrial plants with notable annual emissions. FRES model currently includes 400+ point sources. A combination of bottom-up and top-down approaches are used to calculate emissions from point sources. The locations of point sources are known, as well as some other data, such as capacity. Plant-specific emission factors are used for some important point sources and representative averages for others. Activity data like fuel use in each plant is not year-specific but represent the annual average in a given plant. Thus, the modelled and reported emissions from an individual plant are usually not quite congruent. However, total fuel use for a group of similar plants, like coal-fired power plants, is the same as reported that year. For most process industry sites emissions are not modelled, but the reported emissions are used.\n\nArea sources:\nArea sources are smaller sources of emissions, for which annual emissions are not reported by the actors. The most important area sources are traffic and mobile machinery, residential combustion and agriculture. A top-down approach is used to calculate emissions from area sources.\n\nActivity data:\nFuel combustion is the most common activity that produces emissions. Annual consumption of fuels in a given sector is taken from Energy table service by Statistics Finland (https://pxhopea2.stat.fi/sahkoiset_julkaisut/energia2018/start.htm). Other activities, such as mileage, animal numbers and various land use areas are also from Statistics Finland\n\nEmission factors:\nEmission factors of greenhouse gases from combustion sources are fuel-specific. Emission factors of air pollutants are based on various sources like literature, legislative emission levels, measurements and data reported by industrial operators. For traffic and mobile machinery, emission factors are taken from the international GAINS model, in which they are based on COPERT 4 emission calculation tool. For residential wood combustion, emission factors are mostly from measurements made in domestic campaigns. For point sources, emission factors are based on plant-specific technology, representative emission control legislation or reported emissions.\n\nScenarios and emission projections:\nThe FRES model is mostly a tool for integrated assessment of future emission scenarios. Scenarios are based on projections of activity data, foreseeable or agreed changes in legislation and political measures that influence emissions. Current 2030 projection is mostly based on the activities in the WAM scenario of the National Energy and Climate Strategy, published in 2017. It includes legislation that is agreed to enter into force by 2030, such as stricter emission levels for combustion plants and the Ecodesing directive that sets maximum levels for particulate emissions from most residential wood combustion appliances. The emission projection is explained in more detail in the National Air Pollution Control Programme 2030.\n\n\nReferences:\n\nDescription of the FRES model:\nKarvosenoja N. 2008. Emission scenario model for regional air pollution. Monographs of the Boreal Environment Research 32.\n\nEmissions from residential wood combustion:\nSavolahti, M., Karvosenoja, N., Tissari, J., Kupiainen, K., Sippula, O. & Jokiniemi, J. (2016). Black carbon and fine particle emissions in Finnish residential wood combustion: Emission projections, reduction measures and the impact of combustion practices. Atmospheric Environment. https://doi.org/10.1016/j.atmosenv.2016.06.023\n\nNational Air Pollution Control Programme 2030:\nMinistry of the Environment. National Air Pollution Control Programme 2030; Publications of the Ministry of Environment: Suomi, Finland, 2019. https://julkaisut.valtioneuvosto.fi/handle/10024/161467\n\n\nData processing steps: processing\n\nSpatial distribution of the area source emissions are based on several proxies. The main data sources for the proxies are Digiroad for roads and traffic volumes, The National Buildings and Dwellings Register for buildings data, and CORINE2012 for land use data. More information on the proxies can be found in the references below.\n\nPaunu V.-V., Karvosenoja N., Savolahti M., Kupiainen K. 2013. High quality spatial model for residential wood combustion emissions. 16th IUAPPA World Clean Air Congress, Cape Town, South Africa, 29 September - 4 October 2013. 4 pp. 11\n\nKarvosenoja N., et al. 2018. A high-resolution national emission inventory and dispersion modelling – Is population density a sufficient proxy variable? 36th International Technical Meetings (ITM) on Air Pollution Modelling and its Application, Ottawa, Canada, 14.05.2018 - 18.05.2018.\n\nResource content description: Modelling of air pollution emissions\nhttps://www.syke.fi/en/services/modeling/modelling-of-air-pollution-emissions"},"field_of_science":[],"infrastructure":[],"issued":"2020-03-16","keyword":["air pollution","emission","particles","PM","black carbon"],"language":[{"id":"ec748146-3403-4a7f-adfe-bdbb1b889372","url":"http://lexvo.org/id/iso639-3/eng","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"English","fi":"englanti","sv":"engelska"}}],"metadata_owner":{"id":"0751fc28-f99a-4591-ab44-7ffc7deb9337","organization":"syke.fi","admin_organization":"syke.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.23729/fd-123096b0-2625-37ce-a306-7ad0d1879541","pid_generated_by_fairdata":true,"projects":[],"provenance":[],"relation":[{"entity":{"title":{"en":"Paunu V.-V., Karvosenoja N., Savolahti M., Kupiainen K. 2013. 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National Air Pollution Control Programme 2030; Publications of the Ministry of Environment: Suomi, Finland, 2019"},"entity_identifier":"https://julkaisut.valtioneuvosto.fi/handle/10024/161467","type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}},"metax_ids":[]},{"entity":{"title":{"en":"Paunu V.-V., Karvosenoja N., Savolahti M., Kupiainen K. 2013. High quality spatial model for residential wood combustion emissions. 16th IUAPPA World Clean Air Congress, Cape Town, South Africa, 29 September - 4 October 2013. 4 pp. 11"},"type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}}},{"entity":{"title":{"en":"Karvosenoja N., et al. 2018. A high-resolution national emission inventory and dispersion modelling – Is population density a sufficient proxy variable? 36th International Technical Meetings (ITM) on Air Pollution Modelling and its Application, Ottawa, Canada, 14.05.2018 - 18.05.2018."},"type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}}},{"entity":{"title":{"en":"Karvosenoja N. 2008. Emission scenario model for regional air pollution. Monographs of the Boreal Environment Research 32"},"entity_identifier":"https://helda.helsinki.fi/handle/10138/39332?locale-attribute=en","type":{"id":"fb3d4a47-7445-423e-a4be-0693bcb8047b","url":"http://uri.suomi.fi/codelist/fairdata/resource_type/code/publication","in_scheme":"http://uri.suomi.fi/codelist/fairdata/resource_type","pref_label":{"en":"Publication","fi":"Julkaisu"}}},"relation_type":{"id":"d48aef1e-b6e1-46da-8f44-f4141b4b8d85","url":"http://purl.org/dc/terms/relation","in_scheme":"http://uri.suomi.fi/codelist/fairdata/relation_type","pref_label":{"en":"Relation","fi":"Liittyy"}},"metax_ids":[]}],"remote_resources":[],"spatial":[],"state":"published","temporal":[],"theme":[],"title":{"en":"Finnish air pollution emission scenarios"},"created":"2026-03-12T11:04:46Z","modified":"2026-04-21T15:30:36Z","dataset_versions":[{"id":"5a31525e-a4bc-465e-8736-6288830b11b2","title":{"en":"Finnish air pollution emission scenarios"},"persistent_identifier":"doi:10.23729/fd-123096b0-2625-37ce-a306-7ad0d1879541","state":"published","created":"2026-03-12T11:04:46Z","version":1}],"published_revision":2,"version":1,"api_version":3,"metadata_repository":"Fairdata"},{"id":"c4dabb35-1c26-4782-ae2f-e2bbd55020c4","access_rights":{"id":"ed915dbc-e032-4c86-908d-037f3772c60b","license":[{"id":"35b18e72-3819-4ec6-a1be-14624f29d968","url":"http://uri.suomi.fi/codelist/fairdata/license/code/CC-BY-4.0","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Creative Commons Attribution 4.0 International (CC BY 4.0)","fi":"Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)"}}],"access_type":{"id":"d01ac02c-fc70-4c68-9434-8383cb693ff0","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/open","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Open","fi":"Avoin"}},"restriction_grounds":[],"show_file_metadata":true},"actors":[{"id":"d030a5d3-84e0-4a55-886f-ae078bb46fb1","roles":["creator","publisher"],"person":{"id":"9d62c95c-4e03-44bb-a3b5-9e047251f63f","name":"Tua Nylén","email":"<hidden>","external_identifier":"https://orcid.org/0000-0002-1261-7214"},"organization":{"id":"bcf1a45c-61c6-43b3-bc8b-b8f3cfa5326d","pref_label":{"en":"Maantiede","fi":"Maantiede","sv":"Maantiede","und":"Maantiede"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10089-2606901","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization","parent":{"id":"6008d1d0-fee8-4efe-9832-74337b62ffa5","pref_label":{"en":"University of Turku","fi":"Turun yliopisto","sv":"Åbo universitet","und":"Turun yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10089","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-ida","description":{"en":"The Finland Coastal Change is a multi-temporal dataset of coastal land cover, shoreline position and shoreline displacement along the coast of Finland during 1985–2024.\n\nThe data were created applying the procedure of Nylén et al. (2025), with certain modifications to account for the characteristics of the study area. The procedure utilized the full Landsat collection in Google Earth Engine (namely, Landsat 5, Landsat 7, Landsat 8 and Landsat 9). Version v01 consists of data that haven't been fully validated in the field or against national datasets. The data quality is expected to correspond to that reported for the Arctic coast in Nylén et al. (2025). All data are in ETRS-TM35FIN coordinate reference system (EPSG:3067).\n\n*Data structure*\n\n*Coastal land cover time-series 1985–2024*\n\nThe coastal land cover files classify 30-meter pixels into land and water. Land cover is averaged over five-year time-steps, starting from 1985–1989 and ending in 2020–2024. The name of each of the eight raster image files indicates the start year of the time-step.\n\nEach raster image has one land cover band (\"landcover\"). The pixel values indicate following:\n\n- 1 = land\n- 2 = water\n- NA = less than five valid satellite image observations (no such pixels in the data) or outside the coastal zone\n\n*Shoreline time-series 1985–2024*\n\nVector data describing the historical location of the Finnish shoreline during each of the eight time-steps and calculated from the coastal land cover data. The geojson file name indicates the start year of the time-step.  The linestring features have following attributes:\n\n- 'timestep': the start-year of the time-step\n- 'length_m': the length of the linestring feature in meters\n\n*Shoreline displacement rates 1985–2024*\n\nRates of shoreline displacement, calculated at shore-normal transects with a 500-meter spacing and stored at transect mid points (n = 35 696). The attributes of the point feature describe shoreline displacement from different perspectives using following widely used metrics (see USGS Digital Shoreline Analysis System DSAS, Henderson et al. 2026):\n\n- 'NSM': net shoreline movement (m), displacement between oldest and newest shoreline. Positive values indicate seaward displacement\n- 'SCE': shoreline change envelope (m), maximum distance among all historical shorelines\n- 'EPR': end-point-rate (m/year), displacement between first and last observation divided by the number of years. Positive values indicate seaward displacement\n- 'EPR_uncertainty': uncertainty of the end-point-rate (m)\n- 'LRR': linear regression rate (m/year), average displacement rate calculated by fitting a linear regression model to all observations. Positive values indicate seaward displacement. Calculated only for transects that intersect at least three shorelines\n- 'LRR_SE': standard error of the linear regression rate\n\nThe attributes also include:\n\n- 'shorelines': the number of shorelines intersected by the transect (up to 8)\n- 'timespan': the length of the time-series that is created by shorelines intersecting the transect (years, up to 35 years)\n\nThe original transects (with 500-meter spacing and two kilometers each) are also included in the dataset.\n\n*References*\n\nNylén, T., Calle, M., Gonzales-Inca, C. (2025). Unveiling coastal change across the Arctic with full Landsat collections and data fusion. Remote Sensing of Environment 322, 114696. https://doi.org/10.1016/j.rse.2025.114696.\n\nHenderson, R.E., Farris, A.S., Kratzmann, M.G., Bartlett, M.K., Ergul, A., McAndrews, J., Cibaj, R., Zichichi, J.L., Himmelstoss, E.A., Thieler, E.R. (2026). Digital Shoreline Analysis System version 6.1: U.S. Geological Survey software release. https://doi.org/10.5066/P1NHMJNC.","fi":"\"Finland Coastal Change\" on Suomen rannikon maanpeitteen ja rantaviivan sijainnin aikasarja ja rannansiirtymistä vuosina 1985–2024 kuvaava aineisto.\n\nAineisto tuotettiin soveltamalla Nylénin ym. (2025) kuvaamaa menetelmää tietyin muokkauksin, jotka huomioivat tutkimusalueen erityispiirteet. Menetelmä hyödynsi Google Earth Enginen koko Landsat-aineistoa (Landsat 5, Landsat 7, Landsat 8 ja Landsat 9). Version v01 aineistolle ei ole tehty validointia maastossa tai vertaamalla kansalliseen aineistoon. Tarkkuuden oletetaan vastaavan vähintään arktisen rannikon aineistolle raportoitua tarkkuutta (Nylén ym. 2025). Koko aineisto on ETRS-TM35FIN koordinaattijärjestelmässä (EPSG:3067).\n\n*Aineiston rakenne*\n\n*\"Coastal land cover time-series 1985–2024\" (rannikon maanpeiteaikasarja)*\n\nRannikon maanpeiteaineisto jakaa 30 metrin pikselit maaksi ja vedeksi. Aineisto edustaa keskimääräistä maanpeitettä viiden vuoden aika-askeleella (time-step), joista ensimmäinen on 1985–1989 ja viimeinen 2020–2024. Kunkin rasterikuvan tiedostonimi osoittaa aika-askeleen alkuvuoden.\n\nKukin rasterikuva koostuu yhdestä maanpeitettä kuvaavasta kanavasta (\"landcover\"). Pikselien arvot ovat:\n\n- 1 = maa\n- 2 = vesi\n- NA = alle viisi hyväksyttävää satelliittikuvahavaintoa (tässä aineistossa ei ole tällaisia pikseleitä) tai rantavyöhykkeen ulkopuolella\n\n*\"Shoreline time-series 1985–2024\" (rantaviiva-aikasarja)*\n\nVektoriaineisto, joka kuvaa Suomen rantaviivan historiallista sijaintia kullakin aika-askeleella, laskettuna rannikon maanpeiteaineistosta. Kunkin geojson-tiedoston nimi osoittaa aika-askeleen alkuvuoden. Viivakohteilla on seuraavat ominaisuustiedot:\n\n- 'timestep': aika-askeleen alkuvuosi\n- 'length_m': viivakohteen pituus metreinä\n\n*\"Shoreline displacement rates 1985–2024\" (rannansiirtymisnopeudet)*\n\nRannansiirtymisnopeudet on laskettu rantaviivan kohtisuoraan leikkaavilla linjoilla 500 metrin välein, ja nopeudet on tallennettu linjojen keskipisteisiin (n = 35 696). Pistekohteiden ominaisuustiedot kuvaavat rannansiirtymistä eri näkökulmista seuraavien yleisesti käytettyjen tunnuslukujen avulla (kts. USGS Digital Shoreline Analysis System DSAS, Henderson ym. 2026):\n\n- 'NSM': net shoreline movement (m), vanhimman ja uusimman rantaviivan välinen etäisyys. Positiiviset arvot kuvaavat siirtymistä merelle päin\n- 'SCE': shoreline change envelope (m), suurin kahden rantaviivan välinen etäisyys koko rantaviiva-aikasarjassa\n- 'EPR': end-point-rate (m/vuosi), vanhimman ja uusimman rantaviivan välinen etäisyys jaettuna kuluneella ajalla vuosina. Positiiviset arvot kuvaavat siirtymistä merelle päin\n- 'EPR_uncertainty': EPR epävarmuus (m)\n- 'LRR': linear regression rate (m/vuosi), keskimääräinen rannansiirtymisnopeus, joka on laskettu sovittamalla lineaarinen regressiomalli kaikkiin rantaviivahavaintoihin. Positiiviset arvot kuvaavat siirtymistä merelle päin. LRR on laskettu ainoastaan linjoille, jotka leikkaavat vähintään kolmea rantaviivaa\n- 'LRR_SE': LRR keskivirhe\n\nOminaisuustiedot sisältävät myös seuraavat tiedot:\n\n- 'shorelines': linjan leikkaamien rantaviivojen lukumäärä (enintään 8)\n- 'timespan': sen aikasarjan pituus, joka muodostuu linjan leikkaamista rantaviivoista (vuosina, enintään 35 vuotta)\n\nAlkuperäiset linjat (500 metrin välein, kukin kaksi kilometriä pitkä) sisältyvät myös aineistoon.\n\n*Lähteet*\n\nNylén, T., Calle, M., Gonzales-Inca, C. (2025). Unveiling coastal change across the Arctic with full Landsat collections and data fusion. 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The data include an oversample of Swedish-speaking population. The respondents rated the importance of various domains in life (e.g. family, work, leisure time). Views were probed on happiness, objectives, satisfaction with life, and whether the respondents felt that they have completely free choice and control over their lives. The survey also investigated whether the respondents belonged to any voluntary organisations or communities. In relation to prejudices against different groups with various characteristics, the respondents were asked which groups they would not like to have as neighbours (e.g. people of a different race, drug addicts, immigrants, sexual minorities). Further questions covered general trust or mistrust of people. There were several questions relating to working life in the survey. One theme pertained to which aspects the respondents would consider to be important if they were looking for a job (e.g. a good income, safety in the workplace). The respondents were asked whether they agreed with statements relating to work and working life. The respondents were also asked whether it is justifiable to favour Finns or men for employees when jobs are scarce. Several questions focused on family, home, marriage, and having and raising children. Further questions charted religious behaviour, beliefs, and whether the respondents belonged to any religious denominations. The respondents were asked to assess the aims of Finnish society and potential future changes in lifestyle. They considered different global problems and objectives to find solutions to them. The respondents' political action was covered by asking, among other things, if they had participated in peaceful demonstrations. Confidence in various institutions in society was examined. The respondents were also asked to assess different political systems and characteristics of democracy. Political inclinations were surveyed, for instance, by asking the respondents to place themselves on the left-right axis and by asking them about voting behaviour. Opinions were also probed on the responsibilities of the individual vs. the responsibilities of the government, competition, science, technology, income disparity, attitudes towards euthanasia, cheating on taxes, accepting a bribe, Finnishness, foreign aid, immigration, and ethnic diversity. The use of computer and different sources of information were investigated as well. The face-to-face interview was followed by a self-completed questionnaire. Finnish conceptions of Swedes were investigated. Firstly, the questionnaire covered the respondents' knowledge of, among others, Swedish population, current and former prime ministers, authors, composers, athletes, and how Sweden fared in the UN's international comparisons measuring standard of living and equality between men and women. Further questions covered the respondents' trips to Sweden and whether they had any Swedish acquaintances. The respondents' opinions on, among others, cooperation between Sweden and Finland regarding culture, politics and economy were charted, as well as their views on Swedish institutions and the characteristics and self-image of Swedes. Finally, the questionnaire examined the attitudes that the respondents, their relatives, and the whole Finnish population have towards Swedes. Background variables included, among others, the respondent's gender, year of birth, marital status, number of children, educational level, main occupation, duration of the possible unemployment, province of residence, type of neighbourhood, household income, and whether or not R lives with his/her parents.","fi":"World Values Survey 2005: Suomen aineisto kartoittaa monipuolisesti suomalaisten arvomaailmaa, asenteita ja elämäntilannetta. Se koostuu kahdesta osasta: käyntikyselyllä kerätystä aineistosta ja nk. perävaunulomakkeella kysytystä aineistosta. Aineisto sisältää yliotoksen ruotsinkielisestä väestöstä. Haastatellut arvioivat eri elämänalueiden tärkeyttä (mm. perhe, työ, vapaa-aika). Onnellisuutta, tavoitteita, tyytyväisyyttä elämään ja tunnetta mahdollisuudesta vaikuttaa oman elämän kulkuun selvitettiin. Myös vastaajien kuulumista erilaisiin vapaaehtoisjärjestöihin ja -yhteisöihin kartoitettiin. Ennakkoluuloja erilaisin ominaisuuksin varustettuja ihmisryhmiä kohtaan selvitettiin kysymällä, keitä vastaajat eivät haluaisi naapureikseen (mm. eri rotuun kuuluvat, huumeiden väärinkäyttäjät, maahanmuuttajat, homoseksuaalit). Lisäksi arvioitiin yleistä luottamusta tai epäluottamusta ihmisiä kohtaan. Tutkimuksessa esitettiin useita työelämään liittyviä kysymyksiä. Selvitettiin, mitkä asiat olisivat tärkeitä työpaikkaa etsittäessä (mm. hyvät tulot ja työpaikan turvallisuus). Asenteita työhön ja työn tekemiseen tutkittiin väittämien avulla. Lisäksi selvitettiin suhtautumista suomalaisten ja miesten suosimiseen työpaikkoja täytettäessä, kun työtä on niukasti tarjolla. Perhettä, kotia, avioliittoa, lasten hankkimista ja kasvattamista tarkasteltiin useissa kysymyksissä. Lisäksi kartoitettiin mm. uskonnollista käyttäytymistä ja uskomuksia sekä uskonnollisiin yhteisöihin kuulumista. Vastaajien piti arvioida suomalaisen yhteiskunnan tavoitteita ja elämäntavan mahdollisia tulevia muutoksia. He punnitsivat erilaisia maailmanlaajuisia ongelmia ja tavoitteita niiden ratkaisemiseksi. Vastaajien poliittisen osallistumisen muotoja kartoitettiin kysymällä osallistumisesta esim. rauhanomaiseen mielenosoitukseen. Tutkittiin myös luottamusta yhteiskunnan eri instituutioihin sekä pyydettiin arvioimaan erilaisia poliittisia järjestelmiä ja demokratian ominaisuuksia. Poliittista suuntautumista tutkittiin mm. pyytämällä vastaajia asettamaan itsensä vasemmisto-oikeisto -asteikolle ja kysymällä äänestyskäyttäytymisestä. Vielä selvitettiin mm. asennoitumista yksilön vs. julkisen vallan vastuuseen, kilpailuun, tieteeseen, teknologiaan ja tuloeroihin. Suhtautumista eutanasiaan, verovilppiin, lahjusten vastaanottamiseen, suomalaisuuteen, ulkomaanapuun, maahanmuuttoon ja etniseen monimuotoisuuteen kartoitettiin. Myös tietokoneen ja eri tietolähteiden käyttöä selvitettiin. Varsinaista kyselyä seuranneessa vastaajien itse täyttämässä lomakkeessa eli ns. perävaunussa selvitettiin suomalaisten käsityksiä ruotsalaisista. Ensin mitattiin vastaajien tietoja mm. Ruotsin asukasluvusta, pääministereistä, kirjailijoista, säveltäjistä ja urheilijoista sekä sijoittumisesta YK:n sukupuolten välistä tasa-arvoa ja elintasoa mittaavissa maavertailuissa. Kysyttiin myös vastaajien Ruotsin matkoista ja ruotsalaisista tuttavista. Lisäksi selvitettiin vastaajien mielipiteitä mm. Ruotsin ja Suomen välisen kulttuurisen, poliittisen ja taloudellisen yhteistyön riittävyydestä, ruotsalaisista instituutioista sekä ruotsalaisten ominaisuuksista ja minäkuvasta. Lopuksi kartoitettiin vastaajien omaa, heidän läheistensä ja koko Suomen kansan suhtautumista ruotsalaisiin. Taustamuuttujina ovat mm. vastaajan sukupuoli, syntymävuosi, siviilisääty, lasten lukumäärä, koulutustaso, pääasiallinen ammatti, asuuko vastaaja vanhempiensa luona vai ei, mahdollisen työttömyyden kesto, asuinmaakunta, kuntaryhmä sekä talouden tuloluokka."},"field_of_science":[{"id":"2787a348-6c0f-4d0c-9238-e6c78d62d89f","url":"http://www.yso.fi/onto/okm-tieteenala/ta6","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Humanities","fi":"HUMANISTISET TIETEET","sv":"Humanistiska vetenskaper"}},{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2007-04-03","keyword":["etiikka","moraali","arvot","perheet","avioliitto","ulkomainen apu","järjestöt","terveydentila","ennakkoluulot","työ","etnisyys","köyhyys","onnellisuus","osallistuminen","uskonnolliset yhteisöt","luottamus","poliittiset asenteet","maahanmuutto","elämäntapa","tavoitteet","ympäristön saastuminen","citizen participation","development aid (international)","environmental conservation","ethnic groups","families","happiness","health status","immigration","interpersonal trust","labour and employment","life styles","marriage","moral values","political attitudes","political participation","poverty","prejudice","religious affiliation","religious behaviour","trust","trust in government","values","voting behaviour","Poliittinen käyttäytyminen, poliittiset asenteet ja mielipiteet","Sosiaalinen käyttäytyminen ja asenteet","Uskonto ja arvot","Political behaviour and attitudes","Social behaviour and attitudes","Religion and 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studier"}}]},"actors":[{"id":"492a88a2-fa3f-4df3-b7b5-743768538f63","roles":["creator"],"person":{"id":"5c310f8b-a579-4ea5-8770-fc9e332d35b8","name":"Pehkonen, Juhani"},"organization":{"id":"799570d4-9ea0-4c64-8d2c-62450ff1c0f0","pref_label":{"en":"TNS Gallup Finland","fi":"TNS Gallup Oy"}}},{"id":"d7b39f0b-52cd-41f7-ad52-aa0c2a2e37b5","roles":["creator"],"person":{"id":"183e3c21-9888-4a77-b3ad-2846c99b124a","name":"Kääriäinen, Kimmo"},"organization":{"id":"40f027d8-2546-4c89-be56-148cf56f214c","pref_label":{"en":"Church Research Institute","fi":"Kirkon tutkimuskeskus"}}},{"id":"223208c6-3bcf-4a3f-948c-be14f2c20365","roles":["publisher"],"organization":{"id":"24e34cd1-11fc-4777-985c-dbdd68b78c24","pref_label":{"en":"Tietoarkisto","fi":"Tietoarkisto","sv":"Tietoarkisto","und":"Tietoarkisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization","parent":{"id":"ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20","pref_label":{"en":"Tampere University","fi":"Tampereen yliopisto","sv":"Tammerfors universitet","und":"Tampereen yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10122","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-harvest-fsd","description":{"en":"The survey charted a variety of values, attitudes and life situations of Finnish people. The respondents rated the importance of various domains in life (e.g. family, work, leisure time). The survey also investigated whether the respondents belonged to any voluntary organisations and participated in their activities. In addition, the respondents indicated whether they discussed politics with their friends and whether they were willing to participate financially in reducing the pollution of the environment. The respondents were asked to tell how often they see their friends and colleagues. In relation to prejudices against different groups with various characteristics, the respondents were asked which groups they would not like to have as neighbours (e.g. people of a different race, drug addicts, immigrants, homosexuals). Further questions covered general trust or mistrust of people. Views were also probed on happiness, objectives, satisfaction with life, and whether the respondents felt that they have completely free choice and control over their lives. The respondents were asked to name the most important and the second most important reason for poverty out of four alternatives. There were several questions relating to working life in the survey. One theme pertained to which aspects the respondents considered important in a job (e.g. good pay, nice workmates). Satisfaction with work and freedom in decision-making were canvassed, as well as general attitudes towards working or freedom from work. The respondents were also asked whether it is justifiable to favour Finns or men for employees when jobs are scarce. Attitudes towards the church were charted, as well as religious behaviour, beliefs, and whether the respondents belonged to any religious denominations or communities. Some questions charted the characteristics of a successful marriage and attitudes towards the significance of children, the working of mothers, abortion in different situations, and raising children. The respondents' political action was covered by asking, among other things, if they had participated in peaceful demonstrations or wildcat strikes. Political inclinations were surveyed, for instance, by asking the respondents to place themselves on the left-right axis. They were also asked questions about the responsibilities of the individual and the state, the responsibility of the unemployed to accept work, competition, state control of business, and income disparities. In addition, the respondents were asked to assess the aims of Finnish society and potential future changes in lifestyle. Confidence in various institutions in society was examined. The respondents were also asked to assess different political systems and political development. Acceptability and frequency of certain criminal, fraudulent or dubious activities and certain otherwise much debated issues were charted. Views on immigration were probed, as well as concerns about the living conditions of certain groups of people and the willingness to improve them. Background variables included the respondent's gender, year of birth, marital status, number of children, level of education, size of municipality of residence, and region of residence.","fi":"Tutkimus kartoittaa monipuolisesti suomalaisten arvomaailmaa, asenteita ja elämäntilannetta. Haastatelluilta kysyttiin eri elämänalueiden tärkeyttä (mm. perhe, työ, vapaa-aika). Lisäksi selvitettiin heidän kuulumistaan erilaisiin vapaaehtoisjärjestöihin sekä heidän osallistumistaan niiden toimintaan tai muuhun vapaaehtoistyöhön. Heiltä kysyttiin myös mm., keskustelevatko he politiikasta ystäviensä kanssa sekä tiedusteltiin heidän halukkuuttaan osallistua taloudellisesti ympäristön saastuttamisen vähentämiseen. Haastateltuja pyydettiin kertomaan, miten usein he viettävät aikaansa muutamiin ryhmiin kuuluvien kanssa (mm. ystävät, työkaverit). Ennakkoluuloja erilaisin ominaisuuksin varustettuja ihmisryhmiä kohtaan selvitettiin kysymällä, keitä vastaajat eivät haluaisi naapureikseen (mm. eri rotuun kuuluvat, äärivasemmistolaiset, äärioikeistolaiset, suurperheet). Lisäksi selvitettiin yleistä luottamusta tai epäluottamusta ihmisiä kohtaan. Onnellisuutta, tyytyväisyyttä elämään ja tunnetta mahdollisuudesta vaikuttaa oman elämän kulkuun selvitettiin myös. Vastaajia pyydettiin vielä nimeämään köyhyyden tärkein ja toiseksi tärkein syy neljästä vaihtoehdosta. Tutkimuksessa esitettiin useita työelämään liittyviä kysymyksiä. Selvitettiin mm., mitkä asiat ovat tärkeitä työssä (mm. palkka, mukavat työkaverit), yleistä työtyytyväisyyttä ja päätöksentekovapautta. Suhtautumista työn tekemiseen yleensä tai vapauteen työn teosta tutkittiin monen kysymyksen avulla. Lisäksi selvitettiin mm. suhtautumista suomalaisten ja miesten suosimiseen työpaikkoja täytettäessä, kun työtä on niukasti tarjolla. Lisäksi tutkittiin mm. suhtautumista kirkkoon, uskonnollista käyttäytymistä ja uskomuksia sekä uskonnollisiin yhteisöihin kuulumista ja suhtautumista eräisiin uskonnollisiin yhteisöihin. Jotkut kysymykset tutkivat avioliiton onnistumiseen vaikuttavia asioita, suhtautumista lasten merkitykseen ja äitien työssäkäyntiin sekä lasten kasvatukseen liittyviä asenteita. Suhtautumista aborttiin erilaisissa tilanteissa tutkittiin myös. Vastaajien kansalaisaktiivisuuden astetta laillisista vaikutuskeinoista laittomiin selvitettiin myös. Poliittista suuntautumista tutkittiin mm. pyytämällä vastaajia asettamaan itsensä vasemmisto-oikeisto asteikolle. Vielä tutkittiin mm. asennoitumista yksilön vs. julkisen vallan vastuuseen, työttömien velvollisuuteen ottaa työtä vastaan, kilpailuun, valtionohjaukseen yrityselämässä ja tuloeroihin. Vastaajien piti myös arvioida suomalaisen yhteiskunnan tavoitteita ja elämäntavan mahdollisia tulevia muutoksia. Lisäksi tutkittiin luottamusta yhteiskunnan eri instituutioihin sekä pyydettiin arvioimaan poliittista kehitystä ja erilaisia poliittisia järjestelmiä. Vastaajia pyydettiin myös arvioimaan joidenkin rikollisten, vilpillisten tai joidenkuiden mielestä arveluttavien tekojen tai joidenkin muutoin paljon keskustelua herättäneiden asioiden hyväksyttävyyttä ja yleisyyttä. Vielä tutkittiin mm. suhtautumista maahanmuuttoon, sekä huolestuneisuutta eräiden tahojen elinoloista ja valmiutta parantaa niitä. Taustamuuttujina on mm. vastaajan sukupuoli, syntymävuosi, siviilisääty, lasten lukumäärä, koulutustaso, asuinkunnan asukasmäärä sekä asuinmaakunta."},"field_of_science":[{"id":"2787a348-6c0f-4d0c-9238-e6c78d62d89f","url":"http://www.yso.fi/onto/okm-tieteenala/ta6","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Humanities","fi":"HUMANISTISET TIETEET","sv":"Humanistiska vetenskaper"}},{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2014-12-16","keyword":["etiikka","moraali","arvot","perheet","avioliitto","avoliitto","kasvatus","vapaaehtoistyö","ennakkoluulot","työ","työttömyys","köyhyys","onnellisuus","tyytyväisyys","uskonnolliset yhteisöt","abortti","luottamus","poliittiset 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The respondents' views were charted on factors affecting the success of a relationship, work division and equality between genders, and trust in the institution of marriage. They were also asked which characteristics they considered important in a good child. The respondents' political attitudes and behaviour were examined next with questions concerning participation in politics, responsibilities of the individual and of the society, the free market, and the future of society. The respondents' trust in different institutions in society was also charted, and views on the state of democracy were examined. For instance, the respondents were asked what they considered the essential features of democracy and how well democracy functioned in Finland at the time of the survey. Finally, questions charted the respondents' values with questions concerning, for instance, the acceptability of prostitution or death penalty, regional identity and how it is defined, behaviour in elections, and attitudes toward immigrants. The respondents were also presented with attitudinal statements regarding environmental issues, authorities' access to citizens' personal information, social responsibility of relatives, friends and unknown people. Background variables included age, gender, marital status, country where R was born, number of children, education, economic activity, income, and parents' educational background. Background information concerning the respondents' spouses was also collected.","fi":"Suomen European Values Study 2017 -aineisto on väestötutkimus, joka kartoittaa monipuolisesti suomalaisten moraalisia, uskonnollisia, yhteiskunnallisia ja sosiaalisia asenteita sekä arvoja. Kyselyssä käsitellään muun muassa eri ihmisryhmien välistä tasa-arvoa ja suvaitsevaisuutta sekä uskonnollista käyttäytymistä, demokratiaa ja kansalaisuutta. Kyselyn aluksi vastaajalta tiedustellaan hänelle tärkeimpiä asioita elämässä sekä subjektiivisia kokemuksia onnellisuudestaan ja terveydentilastaan. Seuraavaksi kysytään järjestötoimintaan osallistumisesta ja luottamuksesta sekä ennakkoluuloista eri ihmisryhmien välillä. Tästä seuraa väittämät työnteosta. Vastaajalta tiedustellaan mm. mitkä ovat hänelle tärkeimpiä asioita työssä ja miten suhtautuu työttömyyteen. Seuraavat kysymykset koskevat uskonnollista käyttäytymistä, parisuhdetta ja perhe-elämää. Vastaajalta kysytään uskontokuntiin kuulumisesta ja sisältyykö hänen elämäänsä uskonnollisia tapoja, kuten rukoilua ja kirkossa käyntiä. Edelleen kysytään parisuhteen onnistumiseen vaikuttavista tekijöistä, uskosta avioliittoinstituutioon, sukupuolten välisestä työnjaosta ja tasa-arvosta sekä siitä, mitkä ovat lasten toivottavimpia ominaisuuksia. Seuraavat kysymykset koskevat poliittisia asenteita ja käyttäytymistä, kansanvaltaa ja yhteiskunnan järjestystä. Vastaajalta tiedustellaan osallistumisesta politiikkaan, yksilön ja yhteiskunnan vastuunjaosta, suhtautumisesta vapaisiin markkinoihin ja yhteiskunnan tulevaisuuden kannalta tärkeimmistä asioista. Seuraavaksi vastaajalta kysyttiin luottamuksesta eri yhteiskunnan instituutioihin ja demokratiasta. Esimerkiksi vastaajalta tiedusteltiin, mitkä ovat välttämättömiä demokratian ominaisuuksia ja miten arvioi demokratian toteutumista Suomessa tällä hetkellä. Kyselyn lopussa kysymykset koskevat eri asioiden, kuten prostituution ja kuolemanrangaistuksen hyväksyttävyyttä, alueellista identiteettiä ja sen määrittelemistä, vaalikäyttäytymistä ja suhtautumista maahanmuuttajiin. Vastaajalle esitettiin lopussa myös väitteitä liittyen ympäristöasioihin, viranomaisten oikeuksista kansalaisten tietoihin ja sosiaaliseen vastuunkantoon läheisistä ja tuntemattomista. Aineistossa on runsaasti taustamuuttujia, kuten vastaajan ikä, sukupuoli, siviilisääty, syntymämaa, lasten lukumäärä, koulutus, pääasiallinen toiminta, tulot ja vanhempien koulutukset. Kyselyssä on tietoja myös vastaajan puolisosta."},"field_of_science":[{"id":"2787a348-6c0f-4d0c-9238-e6c78d62d89f","url":"http://www.yso.fi/onto/okm-tieteenala/ta6","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Humanities","fi":"HUMANISTISET TIETEET","sv":"Humanistiska vetenskaper"}},{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2019-08-21","keyword":["etiikka","moraali","arvot","tasa-arvo","avioliitto","parisuhde","kasvatus","työ","poliittinen osallistuminen","onnellisuus","luottamus","poliittiset asenteet","maahanmuutto","ympäristönsuojelu","äänestäminen","demokratia","poliittiset järjestelmät","uskonnollisuus","democracy","environment","equality between the sexes","ethics","happiness","immigration","labour and 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LiTHD_oligomers.xyz)."},"field_of_science":[{"id":"4fca0be9-45d1-4544-9eeb-24dec6bcb0df","url":"http://www.yso.fi/onto/okm-tieteenala/ta116","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Chemical sciences","fi":"Kemia","sv":"Kemi"}}],"infrastructure":[],"issued":"2026-04-10","keyword":[],"language":[],"metadata_owner":{"id":"fce90ccd-e305-45f9-90b3-1e462f048c9a","organization":"aalto.fi","admin_organization":"aalto.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.5281/zenodo.19492284","pid_generated_by_fairdata":false,"projects":[],"provenance":[],"relation":[],"remote_resources":[],"spatial":[],"state":"published","temporal":[],"theme":[],"title":{"en":"Computational gas-phase oligomerization equilibria of lithium precursors for atomic layer deposition"},"created":"2026-04-16T04:43:59Z","modified":"2026-04-18T12:45:23Z","dataset_versions":[{"id":"10d3f7b9-31cf-499e-831c-2bb4a407757c","title":{"en":"Computational gas-phase 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Contains the molecular dynamics simulation results, organized with one subfolder per pattern (Pattern_{ID}/). Each subfolder includes:\r\n\r\n\r\n\r\n\r\n\r\nTrajectories (*.lammpstrj) for stabilisation and each individual contraction step.\r\n\r\n\r\n\r\n\r\nLAMMPS run logs (*.log).\r\n\r\n\r\n\r\n\r\nRestart files generated after stabilisation (sim1.restart).\r\n\r\n\r\n\r\n\r\nA plots/ directory containing time-series data for pore geometry (*_holes.json) and yarn contraction (*_yarn_lengths.json), combined analysis outputs, relative pore area changes, area distributions, histograms, and yarn length evolution plots.\r\n\r\n\r\n\r\n\r\n\r\n\r\ntextile samples/: Contains data from the physical experiments.\r\n\r\n\r\n\r\n\r\n\r\nFolders named {ID}-{n} {date}/ contain data for one lace sample each, where ID is the pattern and n is the replicate number. These folders hold contraction videos (*.MOV), before-and-after photographs (DSC_*.JPG), and a plots/ subfolder with identical analysis outputs to those found in the simulations.\r\n\r\n\r\n\r\n\r\nFolders knit_{date}/ and weave_{date}/ contain reference knitted (article label: K) and woven (article label: W) samples.\r\n\r\n\r\n\r\n\r\nThe images_tools/ directory contains photographs of the experimental equipment used.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nPattern Naming Conventions\r\n\r\nTwo naming systems are utilized across the dataset files. The article labels organize the patterns by their structural family: Knit (K), Woven (W), Square (S1-S2), Diamond (D1-D7), Hexa (H1), Rose (R1-R13), and Spruce (Sp1). The pattern IDs found in the file and folder names correspond directly to the numbering used in the reference bobbin lace pattern book: Uta Ulrich, Gründe mit System (2011).\r\n\r\nKey Variants and Exceptions:\r\n\r\n\r\n\r\n\r\n\r\nR12 (Rose-12) variants: The variant 3051_1t employs a 4-step contraction sequence ([[1],[3],[1,2],[1,2,3,4,5,6,7,8]]). The variant 3051v2 utilizes a 2-step sequence ([[1,2],[1,2,3,4,5,6,7,8]]). Three physical replicates for these variants are available under textile samples/3051/.\r\n\r\n\r\n\r\n\r\nPhysical samples located in textile samples/2003-01/ and textile samples/3110-10/ are included in the repository but were not used in the article simulations.\r\n\r\n\r\n\r\n\r\n\r\nSimulation File Naming\r\n\r\nLAMMPS data and trajectory files follow this specific naming convention: pattern{ID}_{dist}_{mass}_{threshold}_{ks}_{kb}[_contract_fix_{yarns}]\r\n\r\n\r\n\r\n\r\n\r\ndist: Particle spacing in simulation units (Value: 0.25).\r\n\r\n\r\n\r\n\r\nmass: Particle mass (Value: 1.0).\r\n\r\n\r\n\r\n\r\nthreshold: Contact force threshold (Value: 0.0).\r\n\r\n\r\n\r\n\r\nks: Stretching spring constant (Value: 30.0).\r\n\r\n\r\n\r\n\r\nkb: Bending stiffness (Value: 0.1).\r\n\r\n\r\n\r\n\r\nyarns: Underscore-separated IDs of the yarns held fixed during contraction (e.g., 1_2_3_4).\r\n\r\n\r\n\r\n\r\n\r\nNote: Files lacking the _contract_fix_* suffix represent the initial stabilisation runs. Each file with the _contract_fix_{yarns} suffix represents a subsequent contraction step.\r\n\r\n\r\n\r\n\r\nSoftware and Visualization\r\n\r\nSimulations were conducted using LAMMPS. To visualize the simulation trajectories using the free version of OVITO Basic, follow these steps:\r\n\r\n\r\n\r\n\r\n\r\nOpen the input file: Navigate to File → Open, and select the .data file for your desired pattern from the lammps_data/ directory.\r\n\r\n\r\n\r\n\r\nSet the import format: When the LAMMPS Data File Import dialog appears, set the Atom style to bond and map the columns to atom-ID, molecule-ID, atom-type, x, y, z.\r\n\r\n\r\n\r\n\r\nAdjust display sizes: In the Visual Elements panel, adjust the Particle Radius to 0.5 and the Bond Width to 1.0.\r\n\r\n\r\n\r\n\r\nLoad the trajectory: In the Pipeline panel, select Add modification... → Load Trajectory, and choose the corresponding .lammpstrj file from simulations/Pattern_{ID}/.\r\n\r\n\r\n\r\nTo observe the entire contraction protocol, load the stabilisation trajectory first (the file with no suffix), followed by the contraction step trajectories (_contract_fix_{yarns}.lammpstrj) in sequential order."},"field_of_science":[{"id":"58c407dd-b614-4d38-a92a-e6d9cdff7814","url":"http://www.yso.fi/onto/okm-tieteenala/ta216","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Materials engineering","fi":"Materiaalitekniikka","sv":"Materialteknik"}}],"infrastructure":[],"issued":"2026-03-26","keyword":[],"language":[],"metadata_owner":{"id":"fce90ccd-e305-45f9-90b3-1e462f048c9a","organization":"aalto.fi","admin_organization":"aalto.fi"},"other_identifiers":[],"persistent_identifier":"doi:10.5281/zenodo.19232528","pid_generated_by_fairdata":false,"projects":[],"provenance":[],"relation":[],"remote_resources":[],"spatial":[],"state":"published","temporal":[],"theme":[],"title":{"en":"Active textiles move in confined areas dataset"},"created":"2026-04-16T04:43:55Z","modified":"2026-04-18T12:45:19Z","dataset_versions":[{"id":"d97fc8ae-5c93-4fd6-8af7-389ece117e26","title":{"en":"Active textiles move in confined areas dataset"},"persistent_identifier":"doi:10.5281/zenodo.19232528","state":"published","created":"2026-04-16T04:43:55Z","version":1}],"published_revision":2,"version":1,"api_version":3,"metadata_repository":"Fairdata"},{"id":"67f9039e-9e60-4ccc-bef7-104b39cff60c","access_rights":{"id":"0b0dc256-030e-4865-8ab2-0e7d21a6e3b8","license":[{"id":"03258502-6709-437e-9a06-5661857ea4bf","description":{"en":"The dataset is (B) available for research, teaching and study.","fi":"Aineisto on käytettävissä (B) tutkimukseen, opetukseen ja opiskeluun."},"url":"http://uri.suomi.fi/codelist/fairdata/license/code/other-closed","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Other (Not Open)","fi":"Muu (Ei avoin)"}}],"access_type":{"id":"729ffd9f-6d7a-40e9-aa97-a363a16fd113","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/restricted","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Restricted use","fi":"Saatavuutta rajoitettu"}},"restriction_grounds":[{"id":"484e859f-11b5-4163-a387-25c13fcaae29","url":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/research","in_scheme":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds","pref_label":{"en":"Restriced access for research based on contract","fi":"Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön","sv":"Begränsad åtkomst på bas av kontrakt ändast för forskningsändamål"}},{"id":"8c6eebb2-d1f7-47e9-a041-b32a172745b4","url":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/education","in_scheme":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds","pref_label":{"en":"Restricted access for teaching or studying based on contract","fi":"Saatavuutta rajoitettu sopimuksen perusteella opetukseen ja opiskeluun","sv":"Begränsad åtkomst på bas av kontrakt ändast för undervisning och studier"}}]},"actors":[{"id":"14e55c2b-2091-4bdf-92a5-e1daf81d6e01","roles":["creator"],"organization":{"id":"6d788d2f-3acd-43f4-a407-5afc2bad34e5","pref_label":{"fi":"Nuorisotutkimusseura"}}},{"id":"4a9d9c80-2c92-4f3b-b972-687cb729c21e","roles":["creator"],"organization":{"id":"2e69c476-a019-4d2c-92d5-f7eb43ca366f","pref_label":{"fi":"Opetus- ja kulttuuriministeriö. Valtion nuorisoneuvosto"}}},{"id":"3de15d41-9cbb-4bae-9d5e-aeb294ef3d12","roles":["creator"],"organization":{"id":"56b3f60c-ebd9-4b5c-9063-50690a44f031","pref_label":{"en":"Finnish Youth Research Society"}}},{"id":"28c2134e-19f5-4c75-95ba-779cb45b1708","roles":["creator"],"organization":{"id":"3589f6c4-458e-4653-bc54-40347086edd5","pref_label":{"en":"Ministry of Education and Culture. State Youth Council"}}},{"id":"a424bdd4-6b24-4f10-8a32-32175dd206fb","roles":["publisher"],"organization":{"id":"24e34cd1-11fc-4777-985c-dbdd68b78c24","pref_label":{"en":"Tietoarkisto","fi":"Tietoarkisto","sv":"Tietoarkisto","und":"Tietoarkisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization","parent":{"id":"ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20","pref_label":{"en":"Tampere University","fi":"Tampereen yliopisto","sv":"Tammerfors universitet","und":"Tampereen yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10122","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-harvest-fsd","description":{"en":"In the interview survey Children and Youth Leisure Survey 2020, the leisure time and hobbies of people aged 7-29 were examined. In this year's survey, the main themes were children's and young people's media use and participation in culture and the arts. The interview questions differed slightly according to the age of the respondent, and a few questions were also asked of the parents of those under 15. At the beginning, a few background questions were asked of respondents aged 15-29. For those under 15, the questions were asked of their parent. The questions concerned gender, municipality of residence, and mother tongue. After this, children's and young people's leisure time and hobbies were examined. The respondents themselves, or the parents of children under 10, were asked about the prevalence of hobbies, the frequency of participation, and the adequacy of leisure time. Those aged over 10 were additionally asked about participation in culture and about possible experiences of inappropriate treatment in hobbies. Next, the questions dealt with children's and young people's social contacts, their forms, and regularity. The respondents were asked, for example, about the frequency and ways of keeping in contact and about the use of social media as a communication channel. Internet and media use was examined, for example, by asking what activities the respondent engages in online, whether they follow social media influencers, whether they have encountered inappropriate behaviour online, and whether they listen to music or attend music events. In addition, respondents aged over 15 were asked about their views on body modification, such as tattoos and piercings. Questions related to media use were also asked of the parents of children under 15. Parents were asked, for example, about conflicts in the family caused by gaming and internet use, and about ways of restricting children's phone use. After this, respondents aged 10-29 were asked about membership of organisations and participation in organisational activities. In addition, the respondents were asked to assess their satisfaction with different areas of life. Finally, respondents aged 10-29 were asked for further background information, such as their level of education and whether they felt they belonged to a minority. The background variables in the data include age, gender, language, major regions NUTS2, type of neighbourhood, education, and economic activity.","fi":"Lasten ja nuorten vapaa-aika 2020-haastattelututkimuksessa kartoitettiin 7-29-vuotiaiden vapaa-ajan viettoa sekä harrastamista. Tämän vuoden kyselyssä pääteemoja olivat lasten ja nuorten median käyttö sekä kulttuurin ja taiteen harrastaminen. Haastattelukysymykset poikkesivat toisistaan hieman haastateltavan iän mukaan, ja alle 15-vuotiaiden vanhemmille esitettiin myös muutamia kysymyksiä. Aluksi esitettiin muutama taustoittava kysymys 15-29-vuotiaille haastateltaville. Alle 15-vuotiaiden kohdalla kysymykset esitettiin hänen vanhemmalleen. Kysymykset koskivat sukupuolta, asuinpaikkakuntaa sekä äidinkieltä. Tämän jälkeen kartoitettiin lasten ja nuorten vapaa-aikaa ja harrastamista. Haastateltavalta itseltään tai alle 10-vuotiaiden lasten vanhemmilta kysyttiin harrastusten yleisyydestä, harrastamisen tiheydestä sekä vapaa-ajan riittävyydestä. Yli 10-vuotiailta tiedusteltiin lisäksi kulttuurin harrastamisesta sekä mahdollisista epäasiallisen kohtelun kokemuksista harrastusten yhteydessä. Seuraavaksi kysymykset käsittelivät lasten ja nuorten sosiaalisia kontakteja, niiden muotoja ja säännöllisyyttä. Haastateltavilta kysyttiin muun muassa yhteydenpidon yleisyydestä ja tavoista sekä sosiaalisen median käytöstä viestinnän väylänä. Netin ja median käytöstä tiedusteltiin muun muassa, mitä asioita haastateltava tekee netissä, seuraako hän sosiaalisen median vaikuttajia, onko hän kohdannut epäasiallista käytöstä verkossa sekä kuunteleeko hän musiikkia tai käy musiikkitapahtumissa. Lisäksi yli 15-vuotiailta tiedusteltiin heidän näkemyksiään kehon muokkaamisesta, kuten tatuoinneista ja lävistyksistä. Median käyttöön liittyviä kysymyksiä esitettiin myös alle 15-vuotiaiden lasten vanhemmille. Vanhemmilta kysyttiin muun muassa pelaamisen ja internetin käytön aiheuttamista riidoista perheessä sekä tavoista rajoittaa lasten puhelimen käyttöä. Tämän jälkeen 10-29-vuotiailta tiedusteltiin järjestöihin kuulumisesta ja järjestötoimintaan osallistumisesta. Lisäksi haastateltavia pyydettiin arvioimaan tyytyväisyyttään elämän eri osa-alueisiin. Lopuksi 10-29-vuotiailta kysyttiin lisää taustatietoja, kuten haastateltavan koulutustasoa sekä sitä, kokeeko hän kuuluvansa johonkin vähemmistöön. Taustamuuttujina aineistossa ovat ikä, sukupuoli, kieli, suuralue, paikkakuntatyyppi, koulutus ja pääasiallinen toiminta."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2026-04-07","keyword":["ajankäyttö","epäasiallinen kohtelu","harrastukset","hyvinvointi","Internet","järjestötoiminta","kulttuuriharrastukset","lapset (ikäryhmät)","mediankäyttö","nuoret","ruutuaika","sosiaaliset suhteet","vapaa-aika","vapaa-ajantoiminnat","adolescents","children","community action","cultural activitie","harassment","hobbies","internet","leisure time","leisure time activities","mass media use","social life","time budgets","well-being (health)","Lapset","Nuoret","Ajankäyttö","Kulttuuritoiminta ja -osallistuminen, mielipiteet kulttuurista","Children","Youth","Time use","Cultural activities and participation"],"language":[{"id":"c757dc29-552d-48b2-9efc-4d53b939a7ef","url":"http://lexvo.org/id/iso639-3/fin","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"Finnish","fi":"suomi","sv":"finska"}}],"metadata_owner":{"id":"0eabdf3f-948e-43bf-84ab-fe7b6163faaf","organization":"service_fsd"},"other_identifiers":[{"notation":"https://doi.org/10.60686/t-fsd3990","identifier_type":{"id":"753e313e-2eb1-4f81-988c-d50e7a7cd7fb","url":"http://uri.suomi.fi/codelist/fairdata/identifier_type/code/doi","in_scheme":"http://uri.suomi.fi/codelist/fairdata/identifier_type","pref_label":{"en":"Digital Object Identifier (DOI)"}},"metax_ids":[]}],"persistent_identifier":"urn:nbn:fi:fsd:T-FSD3990","pid_generated_by_fairdata":false,"projects":[],"provenance":[{"id":"8534bec3-5f15-4f00-a959-568787defd14","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Suomi","geolocations":{"type":"FeatureCollection","features":[]}},"temporal":{"start_date":"2020-01-23","end_date":"2020-02-29"},"is_associated_with":[],"used_entity":[],"variables":[{"id":"b2102289-54d8-4e4b-9ba6-651e300b5189","pref_label":{"en":"Children and young people aged 7-29 living in mainland Finland","fi":"7-29-vuotiaat Manner-Suomessa asuvat lapset ja nuoret"}}]},{"id":"805c5273-cd80-43d0-be3c-81ac674eada7","title":{"en":"Production"},"description":{"en":"Date when the data collection were produced (not distributed or archived)"},"temporal":{"start_date":"2026-04-07","end_date":"2026-04-07"},"is_associated_with":[],"used_entity":[],"variables":[]},{"id":"07907753-85f1-4941-8239-972afda06c46","title":{"en":"Production"},"description":{"en":"Date when the data collection were produced (not distributed or archived)"},"temporal":{"start_date":"2026-04-14","end_date":"2026-04-14"},"is_associated_with":[],"used_entity":[],"variables":[]},{"id":"184edd9c-4a84-4a02-964f-2320ca6fc39e","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Finland","geolocations":{"type":"FeatureCollection","features":[]}},"is_associated_with":[],"used_entity":[],"variables":[]}],"relation":[],"remote_resources":[],"spatial":[{"geographic_name":"Suomi","geolocations":{"type":"FeatureCollection","features":[]}},{"geographic_name":"Finland","geolocations":{"type":"FeatureCollection","features":[]}}],"state":"published","temporal":[{"start_date":"2020-01-23","end_date":"2020-02-29"}],"theme":[],"title":{"en":"Children and Youth Leisure Survey 2020","fi":"Lasten ja nuorten vapaa-aika 2020"},"created":"2026-04-08T01:10:22Z","modified":"2026-04-18T01:09:54Z","dataset_versions":[{"id":"67f9039e-9e60-4ccc-bef7-104b39cff60c","title":{"en":"Children and Youth Leisure Survey 2020","fi":"Lasten ja nuorten vapaa-aika 2020"},"persistent_identifier":"urn:nbn:fi:fsd:T-FSD3990","state":"published","created":"2026-04-08T01:10:22Z","version":1}],"published_revision":3,"version":1,"api_version":3,"metadata_repository":"Fairdata"},{"id":"fb5975d4-b403-4757-99dc-c1e70def469e","access_rights":{"id":"d176365f-7f15-469e-9680-711fcaee1246","description":{"en":"The data may be distributed for research (including Master's and doctoral theses), but not for other theses, study or teaching purposes. A special permission is required to access the data.","fi":"Aineistoa luovutetaan tutkimuskäyttöön (myös pro gradu -tutkielmiin) erillisellä luvalla. Aineistoa ei luovuteta harjoitusmateriaaliksi tutkimusmenetelmäopetukseen, harjoitustöihin tai kandidaatintutkielmiin."},"license":[{"id":"03258502-6709-437e-9a06-5661857ea4bf","description":{"en":"The dataset is (D) available only by permission from the data depositor/creator.","fi":"Aineisto on käytettävissä (D) vain luovuttajan luvalla."},"url":"http://uri.suomi.fi/codelist/fairdata/license/code/other-closed","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Other (Not Open)","fi":"Muu (Ei avoin)"}}],"access_type":{"id":"729ffd9f-6d7a-40e9-aa97-a363a16fd113","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/restricted","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Restricted use","fi":"Saatavuutta rajoitettu"}},"restriction_grounds":[{"id":"0ed3a2e1-6c11-4278-af67-c6713f838ecd","url":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/other","in_scheme":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds","pref_label":{"en":"Restricted access due to other reasons","fi":"Saatavuutta rajoitettu muulla perusteella","sv":"Begränsad åtkomst av övriga skäl"}}]},"actors":[{"id":"debae096-e277-443a-87c8-cb6632f3f6ff","roles":["creator"],"person":{"id":"e7ea4437-0d5e-4eb3-b8f3-c994889990cf","name":"Karjalainen, Karoliina"},"organization":{"id":"06fd913d-37e7-48e5-b543-36568a93d804","pref_label":{"en":"Finnish Institute for Health and Welfare","fi":"Terveyden ja hyvinvoinnin laitos","sv":"Institutet för hälsa och välfärd","und":"Terveyden ja hyvinvoinnin laitos"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/5610017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"6cc202bf-5f04-473a-a151-416aa70fe397","roles":["creator"],"person":{"id":"fbf29821-3587-45cc-95bc-3c41bfeae6a8","name":"Hakkarainen, Pekka"},"organization":{"id":"06fd913d-37e7-48e5-b543-36568a93d804","pref_label":{"en":"Finnish Institute for Health and Welfare","fi":"Terveyden ja hyvinvoinnin laitos","sv":"Institutet för hälsa och välfärd","und":"Terveyden ja hyvinvoinnin laitos"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/5610017","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"3b5f3d16-e13a-41e4-ad75-404f5ca39113","roles":["creator"],"person":{"id":"e42671fe-0812-4879-8ea3-cbf3f15dd2dd","name":"Salasuo, Mikko"},"organization":{"id":"fa6397f6-e68a-49cf-883f-295f5a7ffd2c","pref_label":{"en":"Finnish Youth Research Society. Finnish Youth Research Network","fi":"Nuorisotutkimusseura. 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The respondents were first asked about smoking and snus use. Alcohol use was charted by asking the respondents how often they drank and how much they tended to drink. The survey also carried a set of attitudinal statements about the health risks of different substances. The respondents were also asked if certain actions, such as polydrug use or growing cannabis plants, should be punishable by law. Regarding cannabis, the respondents were asked whether it should be legal to buy cannabis, and if it were legal, where it should be sold. The respondents' cannabis use was charted by asking them if they had used cannabis in the previous 12 months, and whether their cannabis use was recreational or medical. Ways of obtaining and using cannabis were investigated. The respondents were also asked if they knew people who grew cannabis or if they had grown cannabis themselves. The respondents were asked which illegal drugs they would try if using them was not illegal, and whether they personally knew people who used illegal drugs. They were also asked if someone had offered them illegal drugs, and how easily they thought they could obtain drugs within 24 hours. Concerning the respondents' own drug use, they were asked if they had ever used any of the various drugs listed, such as cocaine or LSD. The respondents recent drug use was charted by asking which illegal drugs they had used during last 12 months and the last 30 days. Furthermore, the respondents were asked if drug use had ever caused difficulties in different areas of their life. One set of questions surveyed which legal drugs, if any, the respondents had used for non-medical purposes. Reasons for non-medical use of legal drugs were investigated. The respondents were also asked where they had obtained the drugs. Use of nitrous oxide and glues was examined. Polydrug use was investigated by asking the respondents which combinations of drugs they had used and what their reasons for using them were. Use of performance-enhancing drugs in sports (doping) was surveyed. Opinions on drug use were probed with several statements, such as \"Use of marijuana and hashish should be legal\". The respondents were also asked if they feared that other people's drug use could cause them physical harm, and whether they considered drugs or alcohol to be the bigger social problem in Finland. The respondents' health was charted by asking them if they had been prescribed different medicines, such as anti-depressants or opiates. The respondents were also asked if they attributed any health problems to their alcohol or drug use. Finally, the respondents were asked how often they engaged in physical activities. The background variables included the respondent's gender, age, type of municipality, marital status, household composition, education, and economic activity and occupational status.","fi":"Päihdetutkimus 2014 tutkii suomalaisen aikuisväestön päihteiden käyttöä, niitä koskevia asenteita ja huumepoliittisia mielipiteitä. Aluksi tutkimuksessa kartoitettiin vastaajien tupakointia kysymällä tupakoinnin säännöllisyydestä sekä nuuskan ja sähkösavukkeiden käytöstä. Seuraavaksi kysyttiin alkoholin käytön yleisyyttä sekä mm. tavallista annosmäärää alkoholikäyttökerralta. Tutkimuksessa tiedusteltiin huumeisiin liittyviä asenteita kysymällä erilaisia väitekysymyksiä eriasteisesta päihdekäytöstä (esim. Kuinka suuri riski aiheutuu, jos ihmiset polttavat kannabista säännöllisesti?). Edelleen tiedusteltiin vastaajien asenteita tekojen rangaistavuuteen. Lisäksi selvitettiin vastaajien kiinnostusta käyttää erilaisia huumeita siinä tapauksessa, että ne olisivat laillisia. Kyselyssä selvitettiin myös ihmisten kokemuksia huumeiden näkyvyydestä Suomessa. Vastaajilta kysyttiin mm. tuntevatko he huumeidenkäyttäjiä ja onko heille tarjottu huumeita. Edelleen oltiin kiinnostuneita kuinka helposti vastaajien mielestä erilaisia huumausaineita olisi hankkia. Lisäksi tiedusteltiin mitä, minkä ikäisenä ja kuinka usein vastaajat olivat käyttäneet erilaisia huumausaineita. Tutkimuksessa oltiin kiinnostuneita myös huumeiden käytöstä aiheutuneista ongelmista. Tutkimuksessa kysyttiin myös lääkkeistä ja niiden väärinkäytöstä. Lisäksi selvitettiin mm. liuottimien käyttöä ja eri päihteiden sekakäyttöä. Dopingaineiden käytöstä oli oma osionsa. Kyselyssä tiedusteltiin yleisiä mielipiteitä huumelainsäädännöstä ja vastaajien kokemasta huumeiden uhasta yhteiskunnassa. Lopuksi tiedusteltiin vastaajien terveydentilasta, liikunnan harrastamisesta ja kokemista terveysongelmista. Taustamuuttujina oli mm. sukupuoli, ikä, paikkakuntatyyppi, perhetyyppi, koulutus ja työmarkkina-asema."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2017-12-14","keyword":["huumeiden käyttö","huumeet","päihteet","alkoholi (päihteet)","lääkkeiden väärinkäyttö","tupakointi","terveydentila","doping","sekakäyttö","kannabis","drug abuse","substance use","alcohol use","smoking","polydrug use","cannabis","drinking behaviour","Yleinen terveydentila ja hyvinvointi","Päihteiden käyttö ja tupakointi","General health and well-being","Drug abuse, alcohol and smoking"],"language":[{"id":"c757dc29-552d-48b2-9efc-4d53b939a7ef","url":"http://lexvo.org/id/iso639-3/fin","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"Finnish","fi":"suomi","sv":"finska"}}],"metadata_owner":{"id":"541fdb9b-f8a8-4c75-a75d-13f413454d72","organization":"fairdata.fi"},"other_identifiers":[{"notation":"urn:nbn:fi:csc-kata20171216040135367306","identifier_type":{"id":"9ea2eac4-87b3-477d-9ac6-107eb654ab2c","url":"http://uri.suomi.fi/codelist/fairdata/identifier_type/code/urn","in_scheme":"http://uri.suomi.fi/codelist/fairdata/identifier_type","pref_label":{"en":"Uniform Resource Name (URN)"}},"metax_ids":[]},{"notation":"https://doi.org/10.60686/t-fsd3181","identifier_type":{"id":"753e313e-2eb1-4f81-988c-d50e7a7cd7fb","url":"http://uri.suomi.fi/codelist/fairdata/identifier_type/code/doi","in_scheme":"http://uri.suomi.fi/codelist/fairdata/identifier_type","pref_label":{"en":"Digital Object Identifier (DOI)"}},"metax_ids":[]}],"persistent_identifier":"urn:nbn:fi:fsd:T-FSD3181","pid_generated_by_fairdata":false,"projects":[],"provenance":[{"id":"802cdca0-92d0-44b5-915b-6a8978b2b9de","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Suomi","geolocations":{"type":"FeatureCollection","features":[]}},"temporal":{"start_date":"2014-09-04","end_date":"2014-12-12"},"is_associated_with":[],"used_entity":[],"variables":[{"id":"3cdd9d13-f831-4838-8e0f-b8fef850ac97","pref_label":{"en":"People permanently living in Finland aged 15 - 69","fi":"15-69-vuotiaat Suomessa vakituisesti asuvat henkilöt"}}]},{"id":"c10a0309-43b7-4d94-8f1e-d50811c98d3f","title":{"en":"Production"},"description":{"en":"Date when the data collection were produced (not distributed or archived)"},"temporal":{"start_date":"2017-12-14","end_date":"2017-12-14"},"is_associated_with":[],"used_entity":[],"variables":[]},{"id":"9bb7c510-9021-4df6-b3ff-aab67eca3cf0","title":{"en":"Production"},"description":{"en":"Date when the data collection were produced (not distributed or archived)"},"temporal":{"start_date":"2018-01-02","end_date":"2018-01-02"},"is_associated_with":[],"used_entity":[],"variables":[]},{"id":"2c024f2e-f5bd-4fa2-981f-d2e893851138","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Finland","geolocations":{"type":"FeatureCollection","features":[]}},"is_associated_with":[],"used_entity":[],"variables":[]}],"relation":[],"remote_resources":[],"spatial":[{"geographic_name":"Suomi","geolocations":{"type":"FeatureCollection","features":[]}},{"geographic_name":"Finland","geolocations":{"type":"FeatureCollection","features":[]}}],"state":"published","temporal":[{"start_date":"2014-09-04","end_date":"2014-12-12"}],"theme":[],"title":{"en":"Alcohol and Drug Survey 2014","fi":"Päihdetutkimus 2014"},"created":"2018-06-19T12:10:34Z","modified":"2026-04-18T01:06:58Z","dataset_versions":[{"id":"fb5975d4-b403-4757-99dc-c1e70def469e","title":{"en":"Alcohol and Drug Survey 2014","fi":"Päihdetutkimus 2014"},"persistent_identifier":"urn:nbn:fi:fsd:T-FSD3181","state":"published","created":"2018-06-19T12:10:34Z","version":1}],"published_revision":9,"version":1,"api_version":3,"metadata_repository":"Fairdata"}]}