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"en": "Children's learning problems often overlap with psycho-social problems as they develop. This CoE InterLearn longitudinal study examines how early risks for reading, math, and attentional difficulties at school entry are related to later academic skills and psychological well-being, as well as how individual and environmental risk and protective factors shape skill development and psychological well-being. \r\n\r\nThe study follows two cohorts of Finnish primary school children from the first grade to at least the fifth grade in Central Finland, Kuopio, and Tampere. Data collection began in autumn 2023 (cohort 1) and in autumn 2024 (cohort 2). This documentation covers the Grade 1 data; documentation for later grades will be published separately. \r\n\r\n1) The student data include: cognitive (e.g., memory, inhibition, language) and academic skills (i.e., numeracy, literacy) assessed both in the classroom setting and in the individually administered assessments, as well as children’s self-reports collected in the classroom setting on learning-related emotions and academic self-beliefs, motivation, psychological well-being, experiences related to psychological and social environment (e.g., received support, peer relations). \r\n\r\n 2) The guardian/parent questionnaire data include information about guardians’ and their child’s background and demographic information, guardians’ and their child’s developmental and health history, and family history of learning difficulties. Data also include information on child’s emotional-behavioral and attentional problems, child’s social and digital environments (e.g. peer relations, hobbies), family’s major life events, parenting (e.g. parental self-efficacy, homework support), parental psychological well-being, and parental attitudes towards learning and schools. \r\n\r\n3) The teacher data include: teachers’ self-reports on teaching (e.g. history, self-efficacy, methods), stress and work engagement, class composition, learning support for students, and school-home collaboration. \r\n\r\nStudy was a part of the The Centre of Excellence for Learning Dynamics and Intervention Research funded by the Research Council of Finland.",
"fi": "Lasten oppimisvaikeudet ovat usein yhteydessä heidän kehityksensä aikana ilmeneviin psykososiaalisiin ongelmiin. Tässä laajamittaisessa pitkittäistutkimuksessa selvitämme, miten koulun alussa havaitut oppimisvaikeuksien ja tarkkavaisuuden ongelmien riskit liittyvät myöhempiin akateemisiin taitoihin ja psykologiseen hyvinvointiin. Tutkimme lisäksi, miten yksilölliset ja ympäristöön liittyvät riski- ja suojaavat tekijät vaikuttavat taitojen kehittymiseen ja psykologiseen hyvinvointiin.\r\n\r\nPieni karhu -tutkimuksessa seurataan lapsia pitkittäistutkimuksessa 1. luokalta vähintään 5. luokalle Keski-Suomessa, Kuopiossa ja Tampereella. Aineistoa kerätään kahdessa kohortissa. Ensimmäisen kohortin aineistonkeruu alkoi syksyllä 2023 ja toisen syksyllä 2024. Tässä dokumentaatiossa kuvataan aineistokeruuta ja aineistoa 1. luokalta. Kunkin luokan dokumentaatio julkaistaan erikseen.\r\n\r\n1) Oppilasaineisto sisältää tietoa kognitiivisista (esim. muisti, inhibitiokyky, kieli) ja akateemisista taidoista (matematiikan taidot ja lukemisen taidot). Taitoja on arvioitu sekä luokkatilanteessa että yksilöllisesti toteutetuilla arvioinneilla. Lisäksi aineistoon sisältyy luokkatilanteissa kerättyjä lasten itsearvioita oppimiseen liittyvistä tunteista ja akateemisista uskomuksista, motivaatiosta, psykologisesta hyvinvoinnista sekä psykologiseen ja sosiaaliseen ympäristöön liittyvistä kokemuksista (esim. saatu tuki, vertaissuhteet).\r\n\r\n2) Huoltajien/ vanhempien kyselyaineistossa on kysytty huoltajien ja heidän lastensa demografisia tietoja, kehitys- ja terveystaustaa, suvussa esiintyvistä oppimisvaikeuksista, lapsen emotionaalisista, käyttäytymisen ja tarkkaavaisuuden ongelmista, vanhemmuuteen liittyvistä tekijöistä (esim. vanhempien minäpystyvyys, läksyihin liittyvä tuki), vanhempien psykologisesta hyvinvoinnista sekä lapsen sosiaalisista ja digitaalisista ympäristöistä (esim. vertaissuhteet, harrastukset).\r\n\r\n3) Opettajien kyselyaineistossa on opettajien itsearvioita opetuksesta (esim. työhistoria, opetuksen minäpystyvyys, menetelmät), stressistä ja työn imusta, luokan koostumuksesta, oppilaiden oppimisen tuesta sekä kodin ja koulun välisestä yhteistyöstä.\r\n\r\nTutkimus toteutettiin Suomen Akatemian rahoittamassa Oppimisen dynamiikan ja interventiotutkimuksen huippuyksikössä (InterLearn)."
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"en": "Data consisting of stormwater samples from Turku region, Finland, from which several groups of harmful substances associated with building materials have been analysed. Samples have been collected from four urban areas, three with buildings in the drainage area and one with no buildings. \n\nAnalysed substances include PFAS, biocides, organophosphorus flame retardants, phthalates, chlorinated paraffins and elements (inc. metals).\n\nBiocides (basic) – from all samples\nPhthalates - from all samples\nElements excluding iodine - from all samples\nIodine – only from first sample of each sampling location\nPerfluorinated compounds (PFAS) – from all samples\nMedium chain chlorinated paraffins (MCCPs) - from all samples\nOrganophosphate flame retardants - from all samples\nIsothiazolinones - only from first sample of each sampling location\nBiocidal transformation products - only from first sample of each sampling location\nQuaternary ammonium compounds - only from first sample of each sampling location\nShort chain chlorinated paraffins (SCCPs) - only from first sample of each sampling location\nLong chain chlorinated paraffins (LCCPs) - only from first sample of each sampling location\nFluorotelomer alcohols - only from first sample of each sampling location\nSolids, conductivity, total phosphorus and nitrogen, COD – from all samples\n\nFile ‘stormwater - results 2023 - NonHazCity3’ includes information on the samplings and analysis results of the substances, which have been found in concentration above laboratory’s reporting limit in at least one sample.\n- Sample ID full\n- Sample ID abbr.: abbreviation of the sample ID\n- Lat: latitude in the sampling location in WGS84 coordinate system\n- Long: longitude of the sampling location in WGS84 coordinate system\n- Date: date of the sampling in DD.MM.YYYY\n- Date0: date of the sampling in YYYYMMDD\n- Sample collected from: information on the type of the sampling location\n- Method: information on the sampling method (1 hour composite or stormwater pond)\n- Av. temp. of previous 24 h/°C: average temperature of the previous 24 h before the start of the sampling in Celsius. Information from the nearest weather station.\n- Max. temp. of previous 24 h/°C: average temperature of the previous 24 h before the start of the sampling in Celsius. Information from the nearest weather station.\n- Min. temp. of previous 24 h/°C: minimum temperature of the previous 24 h before the start of the sampling in Celsius. Information from the nearest weather station.\n- Temp. during sampling/°C : Temperature at the start of the sampling in Celsius. Information from the nearest weather station.\n- Rain previous 24 h/mm: amount of rain in the previous 24 h before the start of the sampling in mm. Information from the nearest weather station.\n- Rain during sampling (for composite samples)/mm: amount of rain during the sampling in mm. Given only for composite samples.\n- Sampling details: further information on sample collection\n- pH\n- CODMn mg/l: Chemical oxygen demand, oxidation with potassium permanganate\n- Conductivity 25 c µS/cm: conductivity of the water at 25 degrees Celsius\n- Solids: suspended solids in the sample\n- Nitrogen N: amount of total nitrogen\n- Phosphorus P: amount of total phosphorus\n- Concentrations for the following substances: \nPFBA, PFPeA, PFHxA, PFHpA, PFOA, PFNA, PFBS, PFHxS, PFOS, 6:2 FTS, Propiconazole, Tebuconazole, Terbutryn, Diuron, Mecoprop, MCPA, Imidacloprid, BAM (2,6-dichlorobenzamide), Prosulfocarb, 2-hydroxy-terbuthylazine (terbutylazine m.), N,N-dimethylsulfamide, Anthraquinone, Diethyltoluamide (DEET), Fluroxypyr, Nickel Ni, Copper Cu, Zinc Zn, Aluminium Al, Lead Pb, Chromium Cr, Boron B, TCPP\tDimethyl phthalate (DMP), Diethylhexyl phthalate (DEHP), Diisobutyl phthalate (DiBP), Dibutyl phthalate (DBP)\n\nFile ‘stormwater - analysed substances 2023 - NonHazCity3’ includes list of all the substances included in the chemical analyses\n- Analysis package: Name of the analysis package\n- Substance: name of the substance\n- CAS: CAS (Chemical Abstracts Service) identifier of the substance, if available.\n- Laboratory reporting limit (RL)\n- RL unit: Unit of the reporting limit",
"fi": "Aineisto koostuu Turun alueelta kerätyistä hulevesinäytteistä, joista on analysoitu useita rakennusmateriaaleihin liittyviä haitta-aineiden ryhmiä. Näytteet on kerätty neljältä kaupunkialueelta, joista kolmen valuma-alueella on rakennuksia ja yhden ei.\n\nAnalysoidut aineet sisältävät PFAS-yhdisteitä, biosideja, organofosfaattipaloa hidastavia aineita, ftalaatteja, kloorattuja parafiineja ja alkuaineita (sis. metallit).\n\nNäytteistä analysoidut aineet:\nBiosidit (perus) – kaikista näytteistä\nFtalaatit – kaikista näytteistä\nAlkuaineet (paitsi jodi) – kaikista näytteistä\nJodi – jokaiselta näytepisteeltä ensimmäisestä näytteestä\nPerfluoratut yhdisteet (PFAS) – kaikista näytteistä\nKeskipitkäketjuiset klooratut parafiinit (MCCP) – kaikista näytteistä\nOrganofosfaattipaloa hidastavat aineet – kaikista näytteistä\nIsotiatsolinonit – jokaiselta näytepisteeltä ensimmäisestä näytteestä\nBiosidien muuntumistuotteet – jokaiselta näytepisteeltä ensimmäisestä näytteestä\nKvaternaariset ammoniumyhdisteet – jokaiselta näytepisteeltä ensimmäisestä näytteestä\nLyhytketjuiset klooratut parafiinit (SCCP) – jokaiselta näytepisteeltä ensimmäisestä näytteestä\nPitkäketjuiset klooratut parafiinit (LCCP) – jokaiselta näytepisteeltä ensimmäisestä näytteestä\nFluoritelomeerialkoholit – jokaiselta näytepisteeltä ensimmäisestä näytteestä\nKiintoaine, sähkönjohtavuus, kokonaisfosfori ja -typpi, COD – kaikista näytteistä\n\n\nTiedosto ‘stormwater - results 2023 - NonHazCity3’ sisältää:\nTietoa näytteistä ja niiden analyysituloksista niille aineille, joita on havaittu vähintään yhdessä näytteessä laboratorioiden raportointirajan ylittävällä pitoisuudella.\n\nSample ID full: näytteen koko tunniste\nSample ID abbr.: lyhennetty näytetunnus\nLat: näytepisteen leveysaste WGS84-koordinaatistossa\nLong: näytepisteen pituusaste WGS84-koordinaatistossa\nDate: näytteenottopäivä muodossa PP.KK.VVVV\nDate0: näytteenottopäivä muodossa VVVVKKPP\nSample collected from: näytteenottopaikan tyyppi\nMethod: näytteenottomenetelmä (1 h kokoomanäyte tai hulevesilampi)\nAv. temp. of previous 24 h/°C: edeltävän 24 h keskilämpötila (lähin sääasema)\nMax. temp. of previous 24 h/°C: edeltävän 24 h maksimilämpötila\nMin. temp. of previous 24 h/°C: edeltävän 24 h minimilämpötila\nTemp. during sampling/°C: lämpötila näytteenoton alkaessa\nRain previous 24 h/mm: sademäärä edeltävän 24 h aikana\nRain during sampling (for composite samples)/mm: sademäärä näytteenoton aikana (vain kokoomanäytteille)\nSampling details: lisätietoja näytteenotosta\npH\nCODMn mg/l: kemiallinen hapenkulutus (kaliumpermanganaattimenetelmä)\nConductivity 25 °C µS/cm: sähkönjohtavuus 25 °C:ssa\nSolids: kiintoainepitoisuus\nNitrogen N: kokonaistyppi\nPhosphorus P: kokonaisfosfori\n\nSeuraavien aineiden pitoisuudet:\nPFBA, PFPeA, PFHxA, PFHpA, PFOA, PFNA, PFBS, PFHxS, PFOS, 6:2 FTS, Propikonatsoli, Tebukonatsoli, Terbutryyni, Diuroni, Mekopropi, MCPA, Imidaklopridi, BAM (2,6-diklooribentsamidi), Prosulfokarbi, 2-hydroksi-terbuthylatsiini (terbuthylatsiinin muuntumistuote), N,N-dimetyylisulfaamidi, Antrakinoni, DEET (dietyylitoluamidi), Fluroksipyyri, Nikkeli (Ni), Kupari (Cu), Sinkki (Zn), Alumiini (Al), Lyijy (Pb), Kromi (Cr), Boori (B), TCPP, Dimetyyliftalaatti (DMP), Di-(2-etyyliheksyyli)ftalaatti (DEHP), Di-isobutyyliftalaatti (DiBP), Dibutyyliftalaatti (DBP)\n\nTiedosto ‘stormwater - analysed substances 2023 - NonHazCity3’ sisältää:\nLuettelon kaikista kemiallisissa analyyseissä mukana olleista aineista.\n\nAnalysis package: analyysipaketin nimi\nSubstance: aineen nimi\nCAS: aineen CAS-rekisterinumero (jos saatavilla)\nLaboratory reporting limit (RL): laboratorion raportointiraja\nRL unit: raportointirajan yksikkö"
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"en": "PFAS water and biota sampling data from Turku region, including samples of stormwater (9), urban brooks/rivers (19), coastal waters (15), rainwater (4) and fish (perch muscle; 5).\n\n-\n\nWater sample data set includes following information:\n\nSample ID \t\t \nLocation: name of the location \nLat: latitude of the sampling location in WGS84 coordinate system\t \nLong: longitude of the sampling location in WGS84 coordinate system \nDate: date of the sampling in DD.MM.YYYY \nDate0: date of the sampling YYYYMMDD \nSampling time: time of the sampling \nType: type of the sampling location/sampled water; brook/river, sea water (brackish), ditch, or stormwater \nSampling method: method of sampling, either grab sample or composite of varying length (specified)\t \nWeather: information on whether the sample has been taken during dry weather or during rain \npH \nConductivity µS/cm: conductivity of the water at 25 degrees Celsius in µS/cm \nSolids mg/l: suspended solids in the sample in mg/l \nTOC mg/l: total organic carbon in the sample in mg/l \n\nConcentrations for 52 PFAS substances, listed below. 6:2 FTAB was only measured from samples taken during 2025 (14 samples)\nPFBA, PFPeA, PFHxA, PFHpA, PFOA, PFNA, PFDA, PFUnDA, PFDoA, PFTrDA, PFTeDA, PFHxDA, PFBS, PFPeS, PFHxS, PFHpS, PFOS, PFNS, PFDS, PFUnS, PFDoS, PFTrDS, PFBSA, PFHxSA, PFOSA, PFODA, FOSAA, MeFOSA, MeFOSAA, MeFOSE, EtFOSA, EtFOSAA, EtFOSE, PFMBA, PFMPA, PFEESA, 4:2 FTS, 6:2 FTS, 8:2 FTS, 10:2 FTS, 3:3 FTCA, 5:3 FTCA, 7:3 FTCA, PFECHS, 6:2 Cl-PFAES, 8:2 Cl-PFAES, DONA, HFPO-DA (GenX), HFPO-TA, NFDHA, P37DMOA, 6:2 FTAB \n\n-----\n\nFish sample data set includes following information:\n\nID = individual ID of an individual fish\nDate fished \nLat = latitude of the fishing location in WGS84 coordinate system\nLong = longitude of the fishing location in WGS84 coordinate system\nSpecies \nWeight (g) = weight of the whole fish in grams\nLength (cm) = length of the whole fish in centimeters\nSex = male/female\nSample in which included = ID of the pooled sample into which the fish was included in.\n\nFollowing substances were analyzed from the pooled samples:\nPFBA, PFPeA, PFHxA, PFHpA,\tPFOA, PFNA, PFDA, PFUdA, PFDoA, PFTrDA, PFTeDA, PFHxDA, PFBS, PFPrS, PFPeS, PFHxS, PFHpS, PFOS, PFNS, PFDS, PFUnDS, PFDoDS, PFTrDS, PFECHS, 3:3 FTCA, 5:3 FTCA, 7:3 FTCA, 4:2 FTS, 6:2 FTS, 8:2 FTS, 10:2 FTS, FOSAA, MeFOSA, MeFOSAA, MeFOSE, EtFOSA, EtFOSAA, EtFOSE, HPFHpA, NFDHA, PFEESA, PFBSA, PFHxSA, PFOSA, PFMBA, PFMPA, PFODA, 6:2 Cl-PFAES, 8:2 Cl-PFAES, DONA, HFPO-DA",
"fi": "Aineisto sisältää PFAS‑pitoisuustietoja Turun alueelta kerätyistä hulevesinäytteistä (9 kpl), kaupunkipuroista ja -joista (19), rannikkovesistä (15), sadevedestä (4) sekä kalasta (ahvenen lihas; 5 yksilöä).\n\nVesinäytetietojen sisältö\nSample ID\nLocation: näytteenottopaikan nimi\nLat: näytteenottopaikan leveysaste (WGS84-koordinaatisto)\nLong: näytteenottopaikan pituusaste (WGS84-koordinaatisto)\nDate: näytteenottopäivä (PP.KK.VVVV)\nDate0: näytteenottopäivä muodossa VVVVKKPP\nSampling time: näytteenottoaika\nType: näytteenottopaikan/samplatun veden tyyppi; puro/joki, merivesi (murtovesi), oja tai hulevesi\nSampling method: näytteenottomenetelmä, joko kertanäyte tai eripituisen jakson kokoomanäyte (kesto ilmoitettu)\nWeather: tieto siitä, onko näyte otettu poutasäällä vai sateella\npH\nConductivity µS/cm: veden sähkönjohtavuus 25 °C:ssa\nSolids mg/l: kiintoainepitoisuus (mg/l)\nTOC mg/l: orgaanisen hiilen kokonaismäärä (mg/l)\n52 PFAS-yhdisteen pitoisuudet (luettelo alla).\nHuom.: 6:2 FTAB analysoitiin vain vuoden 2025 aikana otetuista näytteistä (14 kpl).\nPFBA, PFPeA, PFHxA, PFHpA, PFOA, PFNA, PFDA, PFUnDA, PFDoA, PFTrDA, PFTeDA, PFHxDA, PFBS, PFPeS, PFHxS, PFHpS, PFOS, PFNS, PFDS, PFUnS, PFDoS, PFTrDS, PFBSA, PFHxSA, PFOSA, PFODA, FOSAA, MeFOSA, MeFOSAA, MeFOSE, EtFOSA, EtFOSAA, EtFOSE, PFMBA, PFMPA, PFEESA, 4:2 FTS, 6:2 FTS, 8:2 FTS, 10:2 FTS, 3:3 FTCA, 5:3 FTCA, 7:3 FTCA, PFECHS, 6:2 Cl‑PFAES, 8:2 Cl‑PFAES, DONA, HFPO‑DA (GenX), HFPO‑TA, NFDHA, P37DMOA, 6:2 FTAB.\n\nKalojen näytetietojen sisältö\nID: yksittäisen kalan tunniste\nDate fished: kalastuspäivä\nLat: kalastuspaikan leveysaste (WGS84)\nLong: kalastuspaikan pituusaste (WGS84)\nSpecies: laji\nWeight (g): kalan kokonaispaino grammoina\nLength (cm): kalan pituus senttimetreinä\nSex: koiras/naaras\nSample in which included: sen kokoomanäytteen ID, johon kala sisältyi\nKokoomanäytteistä analysoidut aineet:\nPFBA, PFPeA, PFHxA, PFHpA, PFOA, PFNA, PFDA, PFUdA, PFDoA, PFTrDA, PFTeDA, PFHxDA, PFBS, PFPrS, PFPeS, PFHxS, PFHpS, PFOS, PFNS, PFDS, PFUnDS, PFDoDS, PFTrDS, PFECHS, 3:3 FTCA, 5:3 FTCA, 7:3 FTCA, 4:2 FTS, 6:2 FTS, 8:2 FTS, 10:2 FTS, FOSAA, MeFOSA, MeFOSAA, MeFOSE, EtFOSA, EtFOSAA, EtFOSE, HPFHpA, NFDHA, PFEESA, PFBSA, PFHxSA, PFOSA, PFMBA, PFMPA, PFODA, 6:2 Cl‑PFAES, 8:2 Cl‑PFAES, DONA, HFPO‑DA."
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"en": "Support for classroom behavioural climate is an intervention study focusing on the classroom behaviour. It was carried out in third and fourth grades in primary schools during the school years 2022–2023 and 2023–2024. The specific aim of the study was to identify class- and individual-level factors that affect the level of classroom behavioural climate and variation in the effectiveness of the intervention. A total of 1,494 pupils from 88 school classes, and 90 teachers participated in the study. The intervention implemented by teachers in their classrooms was based on teacher training, which introduced evidence-based methods for managing the classroom behaviour, and their application in the classroom. During the intervention period, teachers followed the behavior management principles agreed upon in the training as part of their practical teaching work. The research period lasted 13 weeks during which the five-week intervention period was preceded and followed by a three-week baseline and follow-up periods. Individual assessments of the classroom climate by teachers and students were collected weekly throughout the research period. As part of the study, participating students' assessments of individual motivational and emotional factors, well-being, experiences of the learning environment, and stress were also collected. Teachers completed a questionnaire that mapped the composition of the class and teaching arrangements. The teachers were also asked about their self-beliefs, experienced stress, and perceived organizational support. \r\n\r\nStudy was a part of the The Centre of Excellence for Learning Dynamics and Intervention Research funded by the Research Council of Finland.",
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"fi": "<jats:p>Scenario tools are widely used to support policymaking and strategic planning. Loss of biodiversity, climate change, and increase in biomass demand ways to project future forest resources considering e.g. various protection schemes, alterations to forest management, and potential threats like pests, wind, and drought. The European Forestry Dynamics Model (EFDM) is an area-based matrix model that can combine all these aspects in a scenario, simulating large-scale impacts. The inputs to the EFDM are the initial forest state and models for management activities such as thinning, felling or other silvicultural treatments. The results can be converted into user-defined outputs like wood volumes, the extent of old forests, dead wood, carbon, or harvest income. We present here a new implementation of the EFDM as an open-source R package. This new implementation enables the development of more complex scenarios than before, including transitions from even-aged forestry to continuous cover forestry, and changes in land use or tree species. Combined with a faster execution speed, the EFDM can now be used as a building block in optimization systems. The new user interface makes the EFDM more approachable and usable, and it can be combined with other models to study the impact of climate change, for example.</jats:p>",
"und": "<jats:p>Scenario tools are widely used to support policymaking and strategic planning. Loss of biodiversity, climate change, and increase in biomass demand ways to project future forest resources considering e.g. various protection schemes, alterations to forest management, and potential threats like pests, wind, and drought. The European Forestry Dynamics Model (EFDM) is an area-based matrix model that can combine all these aspects in a scenario, simulating large-scale impacts. The inputs to the EFDM are the initial forest state and models for management activities such as thinning, felling or other silvicultural treatments. The results can be converted into user-defined outputs like wood volumes, the extent of old forests, dead wood, carbon, or harvest income. We present here a new implementation of the EFDM as an open-source R package. This new implementation enables the development of more complex scenarios than before, including transitions from even-aged forestry to continuous cover forestry, and changes in land use or tree species. Combined with a faster execution speed, the EFDM can now be used as a building block in optimization systems. The new user interface makes the EFDM more approachable and usable, and it can be combined with other models to study the impact of climate change, for example.</jats:p>"
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"fi": "Suomänniköissä esiintyneiden tuhojen hoitamiseen tarkoitettujen liukoisuudeltaan erilaisten kaliumyhdisteiden koesarja. \n\n### LATER501 Raasepori\n\nRaaseporin Tammisaaren länsipuolella sijaitseva tutkimusmetsikkö (≈4 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1991 ja 1996. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 24.10.1991**\n- Mitattu kaikki koealat.\n\n**Puuston mittaus 23-25.9.1996**\n- Mitattu kaikki koealat.\n\n\n### LATER502 Eurajoki\n\nPorin ja Rauman puolivälissä Eurajoella sijaitseva tutkimusmetsikkö (≈4 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1990 ja 1996. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 18.10.1990**\n- Mitattu kaikki koealat.\n\n**Puuston mittaus 13.-14.8.1996**\n- Puuston mittaus harvennuksen jälkeen. Mitattu kaikki koealat.\n\n\n### LATER503 Kankaanpää\n\nKankaanpään kaakkoispuolella sijaitseva koemetsikkö (≈4 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1990-1991 ja 1999. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 1.11.1990-16.5.1991**\n- Mitattu kaikki koealat. Koealat 1-10 syksyllä ja 11-15 keväällä.\n\n**Puuston mittaus 21.-23.9.1999**\n- Mitattu kaikki koealat.\n\n\n### LATER504 Hyvinkää\n\nHyvinkään ja Mäntsälän puolivälissä sijaitseva koemetsikkö (≈7 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1990 ja 1995. Koeasetelmana 20 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 1.12.1990**\n- Mitattu kaikki koealat.\n\n**Puuston mittaus 3.-11.10.1995**\n- Mitattu kaikki koealat.\n\n\n### LATER506 Kouvola\n\nKouvolan itäpuolella sijaitseva koemetsikkö (≈7 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1992 ja 1999. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 29.4.1992**\n- Mitattu kaikki koealat.\n\n**Puuston mittaus 17.-18.6.1999**\n- Mitattu kaikki koealat.\n\n\n### LATER507 Suonenjoki\n\nSuonenjoen kaakkoispuolella sijaitseva koemetsikkö (≈4 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1991-92 ja 1999. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 17.10.1991-4.6.1992**\n- Mitattu kaikki koealat. Koealat 1-7 syksyllä ja 8-15 keväällä.\n\n**Puuston mittaus 2.-4.6.1999**\n- Mitattu kaikki koealat.\n\n\n### LATER508 Raahe\n\nVihannin pohjoispuolella sijaitseva koemetsikkö (≈6 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1992, 1999 ja 2025. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 22.5.1992**\n- Mitattu kaikki koealat.\n\n**Puuston mittaus 12.10.-17.11.1999**\n- Mitattu kaikki koealat.\n\n**Puuston mittaus 7.10.-24.11.2025**\n- Mitattu kaikki koealat.\n\n### LATER509 Posio\n\nPosion eteläpuolella sijaitseva koemetsikkö (≈4 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1990. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 5.11.1990**\n- Mitattu kaikki koealat.\n\n\n### LATER510 Ylitornio\n\nYlitornion Meltosjärven itäpuolella sijaitseva koemetsikkö (≈3 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1990. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 23.10.1990**\n- Mitattu kaikki koealat.\n\n\n### LATER511 Pelkosenniemi\n\nPelkosenniemen Luiron pohjoispuolella sijaitseva koemetsikkö (≈3 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 1991. Koeasetelmana 15 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 8.10.1991**\n- Mitattu kaikki koealat.\n\n\n### LATER512 Pyhtää\n\nPyhtään pohjoispuolella sijaitseva koemetsikkö (≈3 ha).\n\n#### Puuston mittaukset\n\nPuusto on mitattu 2022. Koeasetelmana 23 puustokoealaa puustotilavuuden muutoksen mittaukseen eri lannoituskäsittelyjen kesken.\n\n**Puuston mittaus 2.8.-26.9.2022**\n- Mitattu kaikki koealat, paitsi 6, 7 ja 21.\n\n\n### HARJAV505 Harjavalta/Nakkila\n\nHarjavallassa sekä Nakkilassa sijaitsevat 5 koemetsikköä (≈3/15 ha).\n\n#### Puuston mittaukset\n\nPuustot mitattu 1992 ja 1998. Koeasetelmana 25 puustokoealaa viidessä eri koemetsikössä (5 koealaa/metsikkö).\n\n**Puuston mittaus 15.10.-26.10.1992**\n- Mitattu kaikki koealat.\n\n**Puuston mittaus 1.6.-5.6.1998**\n- Mitattu kaikki koealat.\n\n\n##### ______________________________________________________________________________________________________________________ \n\n### Aineistot ovat Excel-pohjaisia 20- ja 71-lomakkeita.\n\n### Tärkeimmät tallennetut muuttujat:\n\ntietuetunnus(20, 71), kokeen numero, mittauskerta, koealan numero, koealan pinta-ala(neliömetri), mittausajankohta(vuosi, kuukausi, päivä), puun numero, konepiste(mittauspiste koealan sisällä, -5--10), suunta(0-360), etäisyys(cm), puulaji(1-9), puujakso(0-3), puustoryhmä(1-4), läpimitta rinnankorkeudelta(mm), latvuskerros(1-6), tekninen laatu(1-9), tuhon ilmiasu(0-8), tuhon syy(0-13), tuhon aste (0-3), koepuukoodi(0-3), puun pituus(dm), puun latvusraja(dm), yläläpimitta ilmoitetulta korkeudelta(mm), tuoreoksaraja(dm, kuivaoksaraja(dm).\n\nAineiston keruussa ja tallennuksessa noudatetut standardit ja menetelmäohjeet: Metsikkökokeiden maastotyöohjeet"
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],
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