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"fi": "Tämä aineisto sisältää pelto-olosuhteissa toteutettujen ruutukokeiden dataa. Tutkimuksessa tarkasteltiin typpilannoituksen (N) määrän vaikutuksia timotein (Phleum pratense L., kaksi lajiketta) ja nurminadan (Festuca pratensis Huds., 1 lajike) puhdaskasvustojen satoon, rehuarvoihin ja talvenkestävyyteen Suomessa.\n \nAineisto kerättiin vuosina 2015–2017 kahdella tutkimuspaikalla: Maaningalla (63°09′N, 27°20′E) ja Ruukissa (64°41′N, 25°09′E). \nNurmikasvustot oli perustettu vuonna 2014. \nKokeet toteutettiin epätäydellisenä osaruutukokeena neljällä kerranteella. Typpilannoitusta annettiin vuosittain kahdeksalla tasolla: 0, 150, 200, 250, 300, 350, 400 ja 450 kg N ha⁻¹. Mineraalityppi jaettiin kolmelle sadolle suhteessa 0.44 – 0.36 – 0.20. Koeruudun pinta-ala oli 12 m².\n\nAineisto sisältää neljän kerranteen keskiarvot (LSMeans-arvot tilastollisesta analyysistä, poikkeavat havainnot poistettu). Aineisto mahdollistaa typpilannoitusvasteen, sadonmuodostuksen, rehuarvojen sekä talvehtimisen analysoinnin nykyisissä ilmasto-olosuhteissa ja nykyaikaisissa viljelykäytännöissä. Aineistoa voidaan käyttää agronomiseen mallinnukseen, lannoituksen optimointiin sekä vertailuun aiempiin Suomessa tehtyihin typpilannoitustutkimuksiin.\n\n Aineisto sisältää kattavat mittaukset seuraavista osa-alueista:\n- Lannoitus: annettu N, P ja K-lannoitus, lannoituspäivät\n- Sato: vuotuinen kuiva-ainesato sekä niittokohtaiset sadot, niittopäivät.\n- Rehuarvot: raakavalkuainen, D-arvo (sulavan orgaanisen aineen pitoisuus), orgaanisen aineen sulavuus (OMD), neutraalidetergenttikuitu (NDF), vesiliukoiset sokerit sekä valikoiduilta koejäseniltä nitraattityppipitoisuus.\n- Talvenkestävyys: kasvuston tiheys syksyllä ja keväällä sekä talvituhoprosentti.\n- Fysiologiset mittaukset (valikoidut koejäsenet): klorofyllipitoisuus (SPAD), lehtialaindeksi (LAI), ominaislehtiala (SLA) sekä kasvin osien suhteet (varsi/lehti).\n- Maaperän ominaisuudet: pH, maalajikoostumus (savi/hiesu/hiekka), orgaanisen aineksen pitoisuus sekä kasveille käyttökelpoinen fosfori (P) ja kalium (K) molemmilla tutkimuspaikoilla kokeen alussa."
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"fi": "Vesilintujen parilaskennan ja poikuelaskentojen päätavoitteena on selvittää sorsien vuotuinen lisääntymistulos erityyppisillä vesillä ja eri puolilla Suomea. Hanke palvelee kantojen kestävää verotusta ja riistanhoitoa sekä linnuston ja ympäristön seurantaa. Valtakunnallisia vesilintulaskentoja järjestävät Luonnontieteellinen keskusmuseo Luomus ja Luonnonvarakeskus (Luke). Luke koordinoi yhdessä Suomen riistakeskuksen kanssa metsästäjien toteuttamat laskennat. \n\n### Menetelmäkuvaus\nPari- ja poikuelaskenta tehdään samoilla pisteillä. Laskettavia lajeja ovat ensisijaisesti sinisorsa, tavi, haapana, telkkä ja nokikana. On silti suotavaa, että kukin lajintuntemuksensa sallimissa rajoissa laskisi myös muita vesilintuja. Sorsapoikueiden ikäluokka määritetään. Nokikana-, kuikka- ja uikkupoikueille ikäluokitusta ei tehdä. Laskennassa käytetään kiikaria ja/tai kaukoputkea. Poikuelaskenta tehdään kertaalleen 1.–20.7. välisenä aikana. Laskenta suositellaan tehtäväksi mieluummin aamulla klo 5–9 tai illalla klo 18–21. Pistekohtainen vuorokaudenaika tulee pitää vuodesta toiseen vakiona. Laskenta tehdään hyvällä säällä. Aurinkoinen tai pilvipoutainen tyyni säätila on paras. Tuulta tulee välttää, samoin näkyvyyttä haittaavaa sumua tai sadetta.Pisteeseen saavutaan lintuja mahdollisimman vähän häiriten. Sektorilta laskijan säikyttämät pakenevat linnut lasketaan mukaan. Muistiin merkitään päivämäärä, tarkkailun alkamisaika ja kesto. Kiikarin tai kaukoputken avulla tarkastetaan rauhallisesti koko näkyvä tai maastomerkein rajattu vesialueen sektori yhteen suuntaan edeten. Myös sukeltavat linnut on ehdittävä havaita. Erityisen huolellisesti on etsittävä rantaviivan tuntumassa tai kasvillisuuden reunassa piileksiviä poikueita ja aikuislintuja.Keväällä lasketaan parit ja poikuelaskennassa laskennan tärkein yksikkö on sorsapoikue. Kunkin poikueen yksilömäärä ja ikäluokka määritetään mahdollisimman tarkasti, ja tiedot kirjataan jokaisesta poikueesta erikseen. Poikueiden ja emolintujen lisäksi lasketaan poikueettomat naaraat, aikuiset koiraat sekä iältään ja sukupuoleltaan tunnistamattomat linnut. Tiedot näistä kirjataan kokonaismäärinä kustakin lajista erikseen. Lentäviin ja uimalla määrätietoisesti liikkuviin lintuihin tulee kiinnittää huomiota. Jos lintu laskennan aikana lähtee sektorilta tai saapuu sille, se lasketaan mukaan pisteen tuloksiin. Jos samalla kohteella on useita laskentapisteitä, on kiinnitettävä erityistä huomiota laskentasektorilta lähteviin lintuihin. On varottava laskemasta uudelleen edellisestä pisteestä kirjattuja lintuja, jotka ovat siirtyneet toiselle sektorille. Samalla vesialueella sijaitsevat pisteet lasketaan peräkkäin samana päivänä. Eri järvillä sijaitsevat pisteet voidaan laskea eri päivinä. Tähystykseen kuluva aika vaihtelee mm. sektorin koon, rantaviivan rikkonaisuuden, kasvillisuuden ja lintujen määrän mukaan. Poikuelaskennassa laskenta-ajan tulisi kuitenkin olla vähintään kaksikertainen kevään parilaskentaan verrattuna. Pistekohtainen laskenta-aika tulee vuodesta toiseen pitää suhteellisen vakiona. Kustakin laskentapisteestä täytetään oma lomake. Vesilintuhavainnot merkitään lajeittain lomakkeelle. Jokainen poikue merkitään omalle rivilleen. Poikuetta hoitaa normaalisti vain naaras, jonka läsnäolo (♀) merkitään emosarakkeelle. Poikasten lukumäärä merkitään lukumääräsarakkeelle. Mikäli poikasten lukumäärä jää epävarmaksi, merkitään lukumäärä sulkeisiin. Poikasten ikäluokka merkitään omalle sarakkeelle. Ilman emolintua havaitut poikueet merkitään samaan tapaan jättämällä kuitenkin emosarake tyhjäksi. Varoittelevat emot (poikue ilmeisesti lähettyvillä, mutta ei näkyvissä) merkitään naaras emosarakkeeseen ja poikassarakkeet jätetään tyhjäksi. Nokikanan, kuikkalintujen ja uikkujen sukupuolet on vaikea erottaa, joten näiden lajien kohdalla poikuehavainto koostuu emojen lukumäärästä (1 tai 2) ja poikasten lukumäärästä ilman ikäluokkaa. Poikueettomista aikuisista linnuista summataan kunkin lajin määrät yhdelle riville."
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"en": "Wildlife triangle data, winter census Species-specific annual snow-track counts and average snow-track abundance indices in 50 × 50 km grid cells. The snow-track abundance index for a wildlife triangle (a ~12 km line transect) is calculated as N / (km_counted × snow_days). Here N is the number of snow-tracks crossing the transect line. The denominator stands for counting effort, consisting of the kilometers counted (km_counted) multiplied with the number of days during which tracks have accumulated (snow_days). The snow days are counted from last snowfall, or from the timing of a pre-mapping of snow-tracks, which prevents from recounting the tracks during the actual survey. The presented index for a given species, year and grid cell is calculated as the arithmetic mean index over all triangles, whose point of gravity are within the focal grid cell. In addition to the species-specific average abundance indices, also the number of snow tracks recorded, and the number of triangles counted are reported. The grid is constructed according to the ETRS-TM35FIN -coordinate system and the grid cell locations are given using the lower left corner coordinates (“lon” and “lat”).\n\nCoverage basis: threatened and invasive mammal species in the winter track counts, excluding the large carnivores.\n\nData embargo period: 3 years\n\nData quality: Professional / professionally curated (monitoring scheme)\n\nMethods: Line-transect census of snow tracks. The transect is ca 12 km long, shaped as an equilateral triangle and located in boreal forest landscape. The survey is done during one day by volunteers, mainly local hunters, skiing or walking along the transect. The survey period starts the 15th January and ends on the 28th February in the southern and central parts of Finland. In the northern parts of Finland (Oulu region and Lapland) the period continues until 15th March.\n\nTaxonomic coverage: Siberian flying squirrel (Pteromys volans); http://tun.fi/MX.48243 Muskrat (Ondatra zibethicus); http://tun.fi/MX.48537 Raccoon dog (Nyctereutes procyonoides); http://tun.fi/MX.46564 American mink (Neovison vison); http://tun.fi/MX.47243 European polecat (Mustela putorius); http://tun.fi/MX.47240 White-tailed deer (Odocoileus virginianus); http://tun.fi/MX.47629",
"fi": "Luonnonvarakeskus (Luke) seuraa riistakantojen muutoksia metsämaastossa ympäri maata riistakolmioiden avulla sekä kesäisin että talvisin. Seuranta perustuu vapaaehtoisten tärkeään työpanokseen. Riistakolmiot ovat pysyviä metsäriistan runsauden seurantaa varten perustettuja laskentareittejä. Riistakolmio on tasasivuinen kolmio, jonka sivu on 4 km, ja siten laskentalinjan kokonaispituus on 12 km. Kolmiot säilyvät samoina vuodesta toiseen. Peltokolmioilla tehdään vain talvista lumijälkilaskentaa, soveltaen samaa menetelmällä kuin riistakolmioilla.\n\n## Riistakolmioiden kesälaskenta\nKesälaskennassa lasketaan kanalintujen (metso, teeri, riekko, pyy) tiheys, muutosprosentti edelliseen vuoteen, runsausindeksi, poikasosuus ja poikuekoko. Lisäksi kirjataan havainnot sepelkyyhkystä, lehtokurpasta ja metsäjäniksestä sekä kaikki karhua koskevat havainnot: näköhavainnot, jäljet, jätökset, kynsimiset, jne.\n\n## Kesälaskennan muuttujat\n\n### Tiheys (T)\nKanalinnut lasketaan 60 m leveältä pääkaistalta. Tiheys ilmaistaan lintujen lukumääränä metsämaan neliökilometriä kohti.\n\nT = N / 0,06 L\n\nN = havaittujen lintujen lukumäärä, L = laskentalinjan pituus (km), vakio 0,06 on laskentakaistan leveys (km)\n\nesim. 8 teertä: 8 teertä / (0,06 km * 12 km) = 11,11 teertä/km^2\n\n### Muutos (M) =Tiheyden prosenttinen muutos edellisvuodesta.\n\nM = 100 (T(v) – T(v-1)) / T(v-1)\n\nT(v) = kuluvan vuoden ja T(v-1) = edellisvuoden tiheys.\n\n### Runsausindeksi (I)\nVuoden runsausindeksi on tiheyden poikkeama kauden 1990-95 keskiarvosta, jolle on annettu arvo 100. Huomaa, että tämä tunnusluku poikkeaa vesilintulaskennassa käytetystä runsausindeksistä siten, että tässä vertailuluvun ”perustasoksi” on määritetty vuosien 1990-95 keskiarvo.\n\nI = 100 T(v) / TK\n\nT(v) = tarkasteltavan vuoden tiheysarvo ja TK tiheyden keskiarvo kaudelta 1990-95.\n\n### Poikasosuus\nPoikaslintujen prosenttiosuus kaikista havaituista linnuista.\n\n### Poikuekoko\nPoikasten keskimääräinen lukumäärä havaituissa poikueissa.\n\nKesälaskennassa kanalintutiheydet lasketaan suoraan laskentakaistan pinta-alan avulla. Tämä johtaa lievään aliarvioon, sillä kaikkia laskentahetkellä linjalla olevia yksilöitä ei havaita (linnut väistävät lähestyvää laskijarintamaa). Ruotsalaistutkimuksen mukaan aikuisista metsoista ja teeristä (koiraat, poikueettomat naaraat) havaitaan noin 60 %; poikueet emoineen löydetään paljon tehokkaammin, lähes 100 %:n todennäköisyydellä.\n\nKanalintulaskentatuloksen lievää aliarviota alueellisissa lintumäärissä kompensoi se, että riistakolmiot sijaitsevat lievästi keskimääräistä puustoisemmilla alueilla. Seurantaan nämä virhetekijät eivät vaikuta, sillä niiden voimakkuus lienee samansuuruinen vuodesta toiseen.\n\n\n## Riista- ja peltokolmioiden talvilaskenta\nTalvilaskennassa (riista- ja peltokolmioilla) lasketaan lumijälki-indeksi. Talvilaskennassa lasketaan kolmiolinjan ylittävien lumijälkien lukumäärä seuraavista lajeista: metsäjänis, rusakko, orava, liito-orava, majava, piisami, susi, kettu, naali, supikoira, karhu, kärppä, lumikko, minkki, hilleri, näätä, ahma, mäyrä, saukko, ilves, villisika, valkohäntäpeura, hirvi, metsäpeura ja metsäkauris. Lisäksi merkitään näköhavainnot metsosta, teerestä, pyystä, riekosta, peltopyystä, fasaanista, kanahaukasta ja korpista.\nIndeksi kolmiolle lasketaan seuraavasti: N / (km_laskettu × lumipäiviä). Tässä N on laskentalinjan ylittävien lumijälkien lukumäärä. Nimittäjässä suluissa on laskentapanostus, joka saadaan lasketun kilometrimäärän (km_laskettu) ja jälkien kertymäpäivien (lumipäiviä) tulona. Lumipäivät lasketaan edellisestä lumisateesta tai ns. esikierrosta, jolloin laskija on kartoittanut vahat lumijäljet, jotta ei laskisi niitä uudestaan varsinaisessa laskennassa. \n\n## Talvilaskennan muuttujat\n\n### Jälki-indeksi (J)\nJälki-indeksi mittaa eläinten jälkitiheyttä maastossa ja se kuvaa tietyin varauksin lajin runsautta. Jälki-indeksi on laskentalinjan ylittävien jälkien lukumäärä kymmentä kolmiolinjan kilometriä ja vuorokautta kohti.\n\nJ = 10 N / (L T)\n\nN = ylitysjälkien lukumäärä, L = laskentalinjan pituus (km), T = jälkien kertymäaika (vrk).\n\n### Muutos (M)\nJälki-indeksin prosenttinen muutos edellisvuodesta.\n\nM = 100 (J(v) – J(v -1)) / J(v-1)\n\nv = vuosi\n\n### Runsausindeksi (I)\nVuoden runsausindeksi on jälki-indeksin poikkeama kauden 1990-95 keskiarvosta, jolle on annettu arvo 100.\n\nI = 100 J(v) / JK\n\nJ(v) = tarkasteltavan vuoden jälki-indeksi ja JK = jälki-indeksien keskiarvo kaudelta 1990-95.\n\n### Lumijäljen muuttaminen tiheydeksi\nLaskentalinjan ylittävien jälkien määrän riippuvuus jälkimäärästä tietyllä alueella, tai yleisimmin linjaleikkausten määrän riippuvuus viivan kokonaispituudesta, on tunnettu kauan erilaisina sovelluksina monilla aloilla. Tässä yhteydessä, ylitysjälkien määrän suhteesta eläintiheyteen, on tärkeä erottaa ongelman matemaattinen ja biologinen osatekijä. Biologinen osa tehtävää on vastata kysymykseen, kuinka monta eläinyksilöä on jättänyt havaitun ylitysjälkimäärän.\n\nEntisessä Neuvostoliitossa on tutkittu jo 1930-luvulta lähtien eläintiheyden arviointia lumijälkimäärien pohjalta. Alun perin kokeilun kautta syntyi ratkaisu, joka nykyään tunnetaan muodossa T = 1,57 × S / (M × D), jossa S on ylitysjälkien lukumäärä vuorokaudessa, M laskentalinjan pituus ja D lajin keskimääräinen kulkumatka vuorokaudessa. Yhtälön vakio 1,57 on ”tilatekijä” eli π / 2.\n\nYhtälön ainoa muuttuja, jota ei saada suoraan laskentatapahtumasta on D, lajin keskimäärin vuorokaudessa kulkema matka. Mallin oletuksia ovat jälkikuvion satunnaisuus, ylitysten toisistaan riippumattomuus, kaikkien ylitysjälkien laskenta erikseen ja se, että vuorokausijäljen pituus mutkineen on mitattu oikein suhteessa eläimen kokoon. Vuorokausijäljen pituus on mitattava maastotyönä. Siihen vaikuttavat joukko tekijöitä, jotka usein ovat huonosti tunnettuja. \n\n### Runsauslaskelmat pienille alueille\nSiitä huolimatta, että riistakolmiolaskenta on mittava seurantajärjestelmä, aineistopohja jää usein puutteelliseksi, kun halutaan laskea riistan runsautta pienillä alueilla. Sattumanvaraisen vaihtelun hallitseminen edellyttää vähintään noin 100 km laskentalinjaa, mutta mieluummin yli 300 km laskentalinjaa. Tarvittava otoskoko riippuu myös lajin runsaudesta ja alueellisesta vaihtelusta. Riistakolmiotiheys on vain poikkeustapauksissa niin suuri, että esimerkiksi kunta- ja riistanhoitoyhdistystasolle olisi suoraan käytettävissä riittävä laskenta-aineisto.\n\nRiistakolmioaineistosta on voitu osoittaa, että riistakantojen vaihtelut lähialueilla usein ovat samankaltaisia. Tämä havainto on luonut edellytykset laskennallisesti esittää runsaustietoa myös sellaisille rajallisille alueille, joilla riistakolmiolaskentaa ei ole tehty. Esimerkiksi kanalintutiheyden laskeminen riistanhoitoyhdistyksille tapahtuu siten, että kolmiokohtaisia tiheyksiä kerätään 50 km:n säteellä alueen keskipisteestä. Kohdealueen kattavan ympyrän alalta kolmiokohtaisille tuloksille annetaan painoarvo 1 (ne tulevat aineistoon sellaisenaan), kun taas kauempana sijaitsevien kolmioiden painoarvoa pienennetään suoraviivaisesti 50 km:n säteeseen saakka siten, että niiden merkitys pienenee etäisyyden kasvaessa. Painotettu tiheys (T) lasketaan seuraavasti:\n\nT = Σ (T[i] P[i] ) / Σ P[i], missä T[i] on kolmion i tiheys ja P[i] kolmion i painokerroin."
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"fi": "YHTEISKUNTATIETEET",
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"en": "The survey explores the mental wellbeing of descendants of Ingric people who have experienced forced emigration, ethnic persecution and family separation in Finland today. The data focuses on the descendants' family relationships and their connection to their Ingric background, as well as on wartime experiences. First, the survey asked about the respondent's family background in Ingria, and then asked about the respondent's personal relationship to being Ingric. Next, the respondent was asked about family history and recollection of past events. Respondents were asked, for example, whether they felt that their parents or grandparents had spoken openly about matters relating to their own Ingric background or, alternatively, had avoided speaking about these matters. Respondents were also asked about forced migrations in their family and about events in the history of their Ingric relatives, for example during the war. For example, respondents were asked whether their parents or grandparents had been separated from their loved ones because of the war or unstable political circumstances. This was followed by similar questions relating to the war period for respondents' parents or grandparents who did not have an Ingria background. The survey also asked about respondents' family relationships and communication within the family. First, respondents were asked to rate how close they felt to their parents. This was followed by statements relating to communication in both the childhood family and the current family. Next, the survey moved on to examine respondents' mental well-being. Respondents were asked questions on issues such as quality of life, life satisfaction, loneliness, trusting people and mood. Finally, respondents were asked to provide background information. Measures used in the survey include Multigroup Ethnic Identity Measure - Revised (MEIM-R), War Events Checklist, Thermometer Scale / Feeling Thermometer, Family Communication Scale (FCS), EuroHIS-8 (quality of life indicator), Mental Health Inventory MHI-5 (psychological distress), Sense of Coherence-13 SOC-13. Background variables included the respondent's age, gender, mother tongue, country of birth, marital status, highest level of education, economic activity, religion, number of children and siblings, household's gross annual income, information on living abroad, parents' and grandparents' country of birth and parents' education.",
"fi": "Aineistossa kartoitetaan pakkomuuttoja, etnistä vainoa ja perheen hajaantumista kokeneiden inkeriläisten jälkeläisten mielen hyvinvointia Suomessa tänä päivänä. Aineistossa käsitellään jälkeläisten perhesuhteita ja yhteyttä inkeriläistaustaansa, minkä lisäksi selvitetään inkeriläisten sota-ajan kokemuksia. Aluksi kyselyssä selvitettiin vastaajan inkeriläistä perhetaustaa, minkä jälkeen tiedusteltiin vastaajan henkilökohtaista suhdetta inkeriläisyyteen. Seuraavaksi siirryttiin kysymään perhehistoriasta ja menneiden tapahtumien muistelusta. Vastaajalta kysyttiin esimerkiksi, kokeeko hän, että vanhemmat tai isovanhemmat ovat puhuneet avoimesti omaan inkeriläistaustaansa liittyvistä asioista tai vaihtoehtoisesti välttäneet puhumasta näistä asioista. Edelleen kysyttiin vastaajien suvussa koetuista pakkomuutoista sekä inkeriläisten historiaan liittyvistä tapahtumista esimerkiksi sota-aikana. Vastaajilta kysyttiin esimerkiksi, joutuivatko hänen vanhempansa tai isovanhempansa eroon läheisistään sodan tai epävakaiden poliittisten olosuhteiden vuoksi. Tämän jälkeen esitettiin samankaltaisia sota-aikaan liittyviä kysymyksiä koskien vastaajien vanhempia tai isovanhempia, joilla ei ole inkeriläistaustaa. Kyselyssä tiedusteltiin lisäksi vastaajan perhesuhteista ja kommunikaatiosta perheessä. Aluksi vastaajan tuli arvioida, kuinka läheiseksi hän kokee suhteensa vanhempiinsa. Tämän jälkeen esitettiin sekä lapsuudenperheen että nykyisen perheen kommunikointiin liittyviä väittämiä. Seuraavaksi siirryttiin selvittämään vastaajan mielen hyvinvointia. Vastaajalta kysyttiin esimerkiksi elämänlaadusta, elämään tyytyväisyydestä, yksinäisyydestä, ihmisiin luottamisesta ja mielialasta. Lopuksi vastaajilta kysyttiin taustatietoja. Kyselyssä on käytetty esimerkiksi seuraavia mittareita: Multigroup Ethnic Identity Measure - Revised (MEIM-R), War Events Checklist, Thermometer Scale / Feeling Thermometer (tunnelämpömittari), Family Communication Scale (FCS), EuroHIS-8 (elämänlaatumittari), Mental Health Inventory MHI-5 (psyykkinen kuormittuneisuus), Sense of Coherence-13 SOC-13 (koherenssin tunne). Taustatietoina aineistossa ovat vastaajan ikä, sukupuoli, äidinkieli, syntymämaa, siviilisääty, korkein koulutus, pääasiallinen toiminta, uskontokunta, lasten ja sisarusten lukumäärä, kotitalouden vuosibruttotulot, tiedot asumisesta ulkomailla, vanhempien ja isovanhempien syntymämaa sekä vanhempien koulutus."
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"fi": "Ilmastobarometrin tavoitteena oli selvittää suomalaisten mielipiteitä ilmastonmuutokseen sekä ilmastopolitiikkaan liittyen. Tutkimuksen rahoitti ympäristöministeriön ilmastoviestinnän ohjausryhmä (hankenumero: YM037:00/2018). Kyselyssä kartoitettiin mannersuomalaisten mielipiteitä ilmastonmuutoksen vaikutuksista vastaushetkellä sekä tulevaisuudessa. Vaikutusten lisäksi kysyttiin, millaiset toimet ilmastonmuutoksen hillitsemiseksi olisivat vastaajan mielestä tehokkaimpia. Edelleen kysyttiin, mitä toimia vastaaja hyväksyisi tai millaisia toimia on jo tehnyt omassa arjessaan ympäristön hyväksi, esimerkiksi lämmitysmuodon valinnassa tai yksityisautoiluun ja lentämiseen liittyen. Kyselyn loppupuolella esitettiin väittämiä liittyen ilmastopolitiikkaan ja siihen, miksi vastaajan mielestä päästöjen vähentäminen ei ole edennyt Suomessa nopeammin. Taustatietoina ovat asumismuoto, vastauslaite, vastausajankohta, vastaajan sukupuoli ja ikäryhmä, maakunta ja muita aluemuuttujia, puoluekannatus, perhemuoto, ammattiryhmä sekä taloudellinen tilanne."
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"en": "This large longitudinal study is the result of professor Tatu Vanhanen's long-term research on democratization and power resources. International scientific community knows this data also by the name \"Vanhanen's Index of Power Resources\". The data have been collected from several written sources and have been published as appendices of five different books. The books are listed in the section Data sources below. The original sources of the numerical data published in these books have been collected to a separate document containing background information. Vanhanen divides the variables of his dataset into two main groups. The first group consists of Measures of Democracy and includes three variables. The second group is called Measures of Resource Distribution. The variables in the first group (Measures of Democracy) are Competition, Participation and Index of Democratization. The value of Competition is calculated by subtracting the percentage of votes/seats gained by the largest political party in parliamentary elections and/or in presidential (executive) elections from 100%. The Participation variable is an aggregate of the turnout in elections (percentage of the total population who voted in the same election) and the number of referendums. Each national referendum raises the value of Participation by five percentage points and each state referendum by one percentage point for the year of the referendum. The upper limit for both variables is 70%. Index of Democratization is derived by first multiplying the above mentioned variables Competition and Participation and then dividing this product by 100. Six variables are used to measure resource distribution: 1) Urban Population (%) (as a percentage of total population). 2) Non-Agricultural Population (%) (derived by subtracting the percentage of agricultural population from 100%). 3) Number of students: the variable denotes how many students there are in universities and other higher education institutions per 100.000 inhabitants of the country. Two ways are used to calculate the percentage of Students (%): before the year 1988 the value 1000 of the variable Number of students is equivalent to 100% and between the years 1988-1998 the value 5000 of the same variable is equivalent to 100%. 4) Literates (%) (as a percentage of adult population). 5) Family Farms Are (%) (as a percentage of total cultivated area or of total area of holdings). 6) Degree of Decentralization of Non-Agricultural Economic Resources. This variable has been calculated from the 1970s. Three new variables have been derived from the above mentioned six variables. 1) Index of Occupational Diversification is derived by calculating the arithmetic mean of Urban Population and Non-Agricultural Population. 2) Index of Knowledge Distribution is derived by calculating the arithmetic mean of Students and Literates. 3) Index of Distribution of Economic Power Resources is derived by first multiplying the value of Family Farm Area with the percentage of agricultural population. Then the value of Degree of Decentralization of Non-Agricultural Economic Resources is multiplied with the percentage of Non-Agricultural Population. After this these two products are simply added up. Finally two new variables have derived from the above mentioned variables. First derived variable is Index of Power Resources, calculated by multiplying the values of Index of Occupational Diversification, Index of Knowledge Distribution and Index of the Distribution of Economic Power Resources and then dividing the product by 10 000. The second derived variable Mean is the arithmetic mean of the five (from the 1970s six) explanatory variables. This differs from Index of Power Resources in that a low value of any single variable does not reduce the value of Mean to any great extent.",
"fi": "Tämä laaja pitkittäisaineisto on tulosta professori Tatu Vanhasen pitkäaikaisesta valtioiden demokratisoitumista ja valtaresursseja koskevasta tutkimustyöstä. Kansainvälinen tiedeyhteisö tuntee aineiston myös nimellä Vanhanen's Index of Power Resources. Erilaisista kirjallisista lähteistä kootut tiedot on aiemmin julkaistu viiden eri teoksen liitteinä. Teokset on lueteltu alla kohdassa lähdeaineistot. Näissä teoksissa käytetyt numerotietojen alkuperäiset lähteet on koottu taustatietoa-dokumenttiin. Vanhanen jakaa aineistonsa muuttujat kahteen eri pääryhmään. Ensimmäinen ryhmä on demokratian mittarit (Measures of Democracy), jossa on kolme muuttujaa. Toista ryhmää hän kutsuu resurssien jakautuneisuuden mittareiksi (Measures of Resource Distribution). Demokratian mittarit -ryhmään kuuluvat kilpailullisuus (Competition), osallistuminen (Participation) ja demokratisoitumisindeksi (Index of Democratization). Kilpailullisuuden arvot saadaan, kun vähennetään suurimman puolueen saama kannatusprosentti sadasta. Kannatusprosentti on laskettu puolueen saamista äänistä tai paikoista parlamentissa ja/tai voittaneen presidenttiehdokkaan ääniosuudesta. Osallistuminen muodostuu äänestysaktiivisuudesta vaaleissa ja kansanäänestyksien lukumäärästä. Osavaltion sisäinen kansanäänestys nostaa muuttujan arvoa yhdellä prosenttiyksiköllä ja koko valtion käsittävä kansanäänestys nostaa sitä viidellä prosenttiyksiköllä. Muuttujan yläraja on 70 prosenttia. Demokratisoitumisindeksi saadaan jakamalla osallistumisen ja kilpailullisuuden tulo sadalla. Resurssien jakautuneisuutta mitataan kuudella muuttujalla: 1) Kaupunkiväestön osuus (%) koko väestöstä; 2) Agraariväestöön kuulumattomien osuus (%) (Non-Agricultural Population). Saadaan vähentämällä agraariväestöön kuuluvien osuus sadasta; 3) Opiskelijoiden määrä (Students). Muuttuja kertoo kuinka monta opiskelijaa maassa on 100000 henkeä kohden. Opiskelijaksi luetaan yliopistoissa, korkeakouluissa tai vastaavissa oppilaitoksissa opiskelevat. Opiskelijoiden osuus (Students %) lasketaan kahdella tavalla. Ennen vuotta 1988 opiskelijoiden määrä -muuttujan arvo 1000 vastaa 100 prosenttia. Vuosina 1988 ja 1998 samaisen muuttujan arvo 5000 vastaa 100 prosenttia; 4) Lukutaitoisia (Literates %) lasketaan prosentteina aikuisväestöstä; 5) Perhetilojen osuus (Family Farms %) on perhetilojen yhteenlaskettu pinta-ala koko viljelypinta-alasta tai maatilojen kokonaisalasta prosentteina; (6) Ei-agraaristen taloudellisten resurssien jakautuneisuuden aste (Degree of Decentralization of Non-Agricultural Economic Resources). Muuttuja on laskettu 1970-luvulta alkaen. Edellisistä kuudesta muuttujasta on muodostettu kolme uutta muuttujaa. 1) Ammattien monialaistumisen indeksi (Index of Occupational Diversification) saadaan laskemalla kaupunkiväestön ja agraariväestöön kuulumattomien osuuden aritmeettinen keskiarvo. 2) Henkisen pääoman jakautuneisuuden indeksi (Index of Knowledge Distribution) on lukutaitoisten prosenttiosuuden ja opiskelijoiden prosenttiosuuden aritmeettinen keskiarvo. 3) Taloudellisten valtaresurssien jakautuneisuuden indeksi (Index of Distribution of Economic Power Resources) saadaan, kun ensiksi kerrotaan perhetilojen osuus agraariväestön osuudella. Sitten kerrotaan ei agraaristen taloudellisten resurssien jakautuneisuuden aste agraariväestöön kuulumattomien osuudella. Lopuksi nämä kaksi tuloa lasketaan yhteen. Edellä mainituista muuttujista on muodostettu edelleen kaksi uutta muuttujaa. Ensimmäinen on valtaresurssi-indeksi (Index of Power Resources), joka saadaan jakamalla 10000:lla ammattien monialaistumisen, henkisen pääoman jakautuneisuuden ja taloudellisten valtaresurssien indeksien tulo. Toinen muuttuja on viiden (1970-luvulta lähtien kuuden) selittävän muuttujan keskiarvo. Siinä lasketaan muuttujien 1-6 aritmeettinen keskiarvo. Tämä eroaa valtaresurssi-indeksistä siten, että yhden muuttujan pieni arvo ei pudota koko muuttujan arvoa kovin paljoa."
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"fi": "Haastatteluissa selvitettiin suomalaisten historiatietoisuutta, näkemyksiä menneisyydestä sekä historiallisia avainkokemuksia. Osanottajat valittiin satunnaisesti saman tutkimusprojektin yhteydessä aiemmin toteutettuun kyselytutkimukseen vastanneista. Lisäksi haastatteluja tehtiin Norssin lukion opiskelijoille. Teemahaastattelujen runko rakentui kyselyaineiston (FSD2932) kyselylomakkeen teemojen pohjalta ja haastatteluissa tuotiin esille myös kyselyn alustavia tuloksia. Aluksi haastateltavilta kysyttiin historian ja menneisyyden merkityksestä yleensä. Seuraavaksi kysyttiin asioista, jotka kokee merkittävinä Suomen ja maailman kehitykseen vaikuttavina tekijöinä. Kysyttiin esimerkiksi mielipiteitä liittyen ympäristönsuojeluun ja ulkomaalaisten määrän kasvuun Suomessa. Tämän jälkeen haastateltavaa pyydettiin nimeämään heille tärkeitä tapahtumia ja henkilöitä Suomen historiassa. Seuraavaksi tiedusteltiin vuoden 1918 sisällissotaan liittyvistä mielikuvista sekä siitä, kuinka sisällissodan jäljet mahdollisesti yhä näkyvät Suomessa. Kysyttiin myös onko haastateltavalla henkilökohtaista kosketusta sisällissotaan esimerkiksi sukunsa kautta. Samassa yhteydessä kysyttiin myös kokemuksista ja mielikuvista liittyen toisen maailmansodan aikaisiin sotiin Suomessa. Haastateltavia pyydettiin myös nimeämään mielestään merkittävimpiä lähihistorian tapahtumia, sekä kertomaan näkemyksiään esimerkiksi EU-jäsenyyden, kommunismin romahtamisen ja laman historiallisesta merkityksestä. Taustatietoina on mainittu mm. sukupuoli, ikä ja asuinpaikka. Haastattelulitteraatiot on mahdollista yhdistää kohdenumeron perusteella kyselyaineiston vastauksiin niiden haastateltavien osalta, jotka ovat vastanneet myös kyselyyn. Tutkimusta ovat rahoittaneet Suomen Kulttuurirahasto, Helsingin yliopisto, opetus- ja kulttuuriministeriö, Svenska Kulturfonden ja Koneen Säätiö."
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