432 research outputs found
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Eesti Rahvusringhäälingu raadiosaadete korpus
No full textKorpus koosneb ERR-i raadiosaadetest ja nende transkriptsioonidest. Korpuses on 53 000 raadiosaadet kogukestusega 16 tuhat tundi, mis on salvestatud vahemikus 1930–2022. Salvestused on transkribeeritud Tallinna Tehnikaülikooli automaatse kõnetuvastusega ning tekstid on automaatselt morfanalüüsitud EstNLTK-ga. Kokku on korpuses 109 miljonit sõna. Korpus on valminud koostöös Tartu Ülikooli ja Eesti Rahvusringhäälingu ning Tallinna Tehnikaülikooliga projektide EKKD93 "Suuline eesti keel arvudes" ja EKKD117 "Suuline eesti keel arvudes II" (Haridus- ja Teadusministeeriumi programm "Eesti keel ja kultuur digiajastul") raames.ESTONIAN PUBLIC BROADCASTING'S RADIO CORPUS: This corpus consists of Estonian Public Broadcasting's radio shows and their transcriptions. There is a total of 53 000 radio shows with total duration of 16 thousand hours. The recordings are made between 1930-2022. The recordings are automatically transcribed with TalTech ASR system and morphologically analysed with EstNLTK. The text corpus consists of 109 million words in total. The corpus has been created by University of Tartu in cooperation with Tallinn University of Technology (TalTech) and Estonian Public Broadcasting (ERR) in the project EKKD93 "Basic statistics of spoken Estonian" and EKKD117 "Basic statistics of spoken Estonian II" (Ministry of Education and Research program "Estonian Language and Culture in the Digital Age"
Faunal baseline data for E-Baltic hunter gatherers
No full textThis dataset gathers relevant bulk stable isotope values from the Stone Age sites at the Eastern Baltic to act as a baseline for the human values discussed in the article "Buried at home? Stable isotope analysis of the late hunter-gatherer cemetery population at Tamula, SE Estonia" (by Tõrv and Eriksson, EJA 27, 2; 10.3176/arch.2023.2.02). These data are gathered from published materials and are important in order to interpret the human values of the three sites - Tamula, Veibri, Zvejnieki - included in the cited study
Step-by-step replacement of cyano groups by tricyanovinyls – the influence on the acidity
No full textThe dataset includes supporting information files for the article "Step-by-step replacement of cyano groups by tricyanovinyls – the influence on the acidity". The dataset contains results of optimization and frequency calculations carried out by Turbomole and Gaussian.
Acid-base properties are the simplest expression of compounds’ coordinating ability. In the present work, we studied in silico how the gas-phase Brønsted acidity (GA) of several polycyano substituted compounds change when cyano (CN) groups are replaced by 1,2,2-tricyanovinyl (TCNV) groups in cyanic acid, dicyanoamine, cyanoform, and hydrogen tetracyanoborate. Different tautomers and conformers/isomers are included in the study. Gas-phase acidity values are compared with the acidities of different acids, including percyanated protonated mono-carba-closo-dodecaborate (carborane acid) and dodecaborate, as well as hydrogen cyanide and 1,2,2-tricyanoethene. An estimation of acetonitrile, dimethylsufoxide, and 1,2-dichloroethane acidities are presented using the COSMO-RS method and correlational analysis. The strongest acid with four TCNV groups shows remarkable acidic properties
Tartu Ülikooli genoomika instituudi Eesti biokeskuse vanaDNA proovid (01.04.2014–15.03.2022) asukohapõhise taustainfoga
No full textAndmekogu sisaldab kõikide vanaDNA proovide asukohapõhist taustainfot, mis on Eesti arheoloogilistest luudest Tartu Ülikooli genoomika instituudi Eesti biokeskuse puhaslaboris eraldatud vahemikus 01.04.2014–15.03.2022
DigiEfekt: õpilaste isiksuseomadused (student personality)
No full textREADME-fail (ing k) on leitav DigiEfekti kollektsiooni “Koondfaili” juurest.Õpilase isiksuseomaduste testi tulemuste andmekogu on osa DigiEfekti (DIGIVARA5) koondandmekogust. Andmekogu koosneb tabelist (“personality_data”), kus on esitatud 3., 6. ja 9. klassi õpilaste isiksuseomaduste testi andmed, sh konstruktispetsiifilised tunnused, koodiraamat asub andmetabeli teisel lehel ("Codebook"). Lisatud on uuringu instrumenti ja tulemusi kirjeldav põhiuuringu raport (personality_report_est) ja õpilastele mõeldud isiksusetest (väidete jagunemine dimensioonide vahel on avatud raportis ja andmefaili koodiraamatus) (“personality_quest_est”).
Õpilastele mõeldud isiksuseküsimustik koostati DigiEfekti pilootuuringu käigus, võttes aluseks René Mõttuse eestvõttel koostatud isiksuseväidete kogumi 100NP (“100 Nuances of Personality”, Henry & Mõttus, 2022), mis on kasutusel ka Eesti Geenivaramu (EGV) isiksuseuuringus. Selle väidetekogumi eeliseks on (a) hõlmavus: väidetekogum katab kõiki enamkasutatavates isiksuseküsimustikes leiduvaid teemasid, (b) mitte-liiasus: väidetekogumis on iga teema kohta 1-3 väidet, ükski teema ei ole tugevalt üle-esindatud ja (c) loetavus: kogumis on üldiselt lihtsasti mõistetavad väited.[ENG] The student personality test results data set is part of the Digiefekt project (DIGIVARA5) aggregated data set. The data set comprises a table (“personality_data”) presenting the data on the third-, sixth- and ninth-grade students’ personality test, incl. construct-specific variables; the codebook ("Codebook") is found on the second sheet of the data table. Also, there are the main study report (personality_report_est), which describes the instrument and results of the study, and the personality test for students (the distribution of statements across dimensions is elaborated on in the report and in the codebook found in the data file) (“personality_quest_est”).
The personality test for students was developed in the Digiefekt pilot study and was based on 100NP (“100 Nuances of Personality”, Henry & Mõttus, 2022), a set of personality statements compiled at the initiative of René Mõttus; the latter set is also used in the personality study conducted by the Estonian Genome Centre. The advantages of this set of statements are the following: a) comprehensiveness, meaning that the set of statements covers all topics found in common personality tests, b) non-redundancy, meaning that the set of statements has 1–3 statements per topic, no topic is substantially over-represented, and c) readability, meaning that the statements in the set are generally easy to understand.Raporti soovituslik viide eestikeelses allikas: Konstabel, K. (2023). DigiEfekti põhiuuringu tulemuste raport – õpilaste isiksuseomadused. Tartu, Tartu Ülikool. https://datadoi.ee/handle/33/549Raporti soovituslik viide ingliskeelses allikas: Konstabel, K. (2023). DigiEfekti põhiuuringu tulemuste raport – õpilaste isiksuseomadused [Report of the DigiEfekt project – student personality]. University of Tartu. https://datadoi.ee/handle/33/54
DigiEfekt: õpilaste vaimne võimekus (cognitive ability)
No full textREADME-fail (ing k) on leitav DigiEfekti kollektsiooni “Koondfaili” juurest.Vaimse võimekuse andmekogu on osa DigiEfekti (DIGIVARA5) koondandmekogust. Andmekogu koosneb tabelist (“cognitive_data”), kus on esitatud 3., 6. ja 9. klassi õpilaste andmed, sh konstruktispetsiifilised tunnused, koodiraamat asub andmetabeli teisel lehel ("Codebook"). Lisatud on uuringu instrumenti ja tulemusi kirjeldav raport (“cognitive_report_est”).
Vaimse võimekuse all peetakse muuhulgas silmas võimet teha loogilisi järeldusi, planeerida, mõelda abstraktselt, mõista kirjutatut, lahendada probleemülesandeid. Õpilaste vaimset võimekust hinnati DigiEfekti valimil uuringu jooksul ühel korral põhiuuringu käigus (ajavahemikus 24.11.2021 – 21.04.2022). Vaimsete võimete mõõtmiseks kasutati kahte alltesti Koolipsühholoogide testist (Kikas et al., 2016). Alltest „Järeldamine: kujundid“ koosneb maatriks-tüüpi ülesannetest, millega mõõdetakse järeldamisoskust, laiemalt mitteverbaalseid võimeid. Alltest „Siil“ mõõdab planeerimisoskust, kuid kitsamalt ka teisi täidesaatvaid funktsioone: tähelepanu, töömälu, pidurdusprotsesse, matemaatilisi teadmisi (arvu mõiste, arvude järgnevus). Edasistes analüüsides kasutatakse vaimse võimekuse alltestide tulemusi kontrollmuutujatena.[ENG] The cognitive ability data set is part of the Digiefekt project (DIGIVARA5) aggregated data set. The data set comprises a table (“cognitive_data”) presenting the third-, sixth- and ninth-grade students’ data, incl. construct-specific variables; the codebook is found on the second sheet of the data table ("Codebook"). There is also the report on the study instrument and results (“cognitive_report_est”).
Among other things, cognitive ability refers to one’s ability to draw logical conclusions, plan, think in abstract terms, understand written information and solve problem tasks. Students’ cognitive ability was assessed on the Digiefekt sample once in the course of the study, during the main study (in the period 24.11.2021 – 21.04.2022). To measure students’ cognitive ability, two sub-tests were used from the School Psychologists’ test (Kikas et al., 2016). The sub-test “Matrices” consists of matrix-type assignments measuring the deduction skill, more broadly, nonverbal abilities. The sub-test “Hedgehog” measures the planning skill, but also other executive functions: attention, working memory, inhibitory processes, mathematical knowledge (the concept of number, numerical sequence). In further analyses, the results of the cognitive ability sub-tests will be used as control variables.Raporti soovituslik viide eestikeelses allikas:
Silm, G. (2022). DigiEfekti põhiuuringu tulemuste raport – vaimne võimekus .Tartu Ülikool. https://datadoi.ee/handle/33/54Raporti soovituslik viide ingliskeelses allikas:
Silm, G. (2022). DigiEfekti põhiuuringu tulemuste raport – digipädevus [Report of the DigiEfekt project – cognitive ability]. University of Tartu. https://datadoi.ee/handle/33/54
DigiEfekt: õpetajate taust, digihoiakud, digivalmidus, enesetõhusus (teacher background information, digital attitudes, digital readiness, self-efficacy)
No full textREADME-fail (ing k) on leitav DigiEfekti kollektsiooni “Koondfaili” juurest.Õpetaja taustatunnuste andmekogu on osa DigiEfekti (DIGIVARA5) koondandmekogust. Andmekogu koosneb tabelist (“teacher_data”), kus on esitatud projektis osalenud 3., 6. ja 9. klassi 91 matemaatika, loodusainete ja eesti keele õpetaja taustaandmed, andmed nende enesetõhususe ja digihoiakute kohta ning konstruktispetsiifilised tunnused. Koodiraamat asub andmetabeli teisel lehel ("Codebook"). Põhiuuringu taustaandmete raport (“background_report_est”, pt 2, lk 7) kirjeldab uuringus osalenud õpetajate taustatunnuseid, sh haridustaset, kogemusaastaid, töötamise jätkamise soovi. Õpetajate digihoiakute, digivalmiduse ja enesetõhususe raport (“teacher_digitalatt_self_efficincy_report_est”) kirjeldab õpetajate hoiakuid digitehnoloogiate õppimises kasutamise suhtes, valmisolekut digitehnoloogiaid kasutada ja hinnanguid nende kasutamise võimalustele koolis ning enesetõhusust õppijate kaasamisel ja õpetamisstrateegiate rakendamisel.[ENG] The teacher background variables data set is part of the Digiefekt project (DIGIVARA5) aggregated data set. The data set comprises a table (“teacher_data”) that presents the background data of the 91 Maths, Science and Estonian language teachers of the third, sixth and ninth grades who participated in the study, the data on the teachers’ self-efficacy and digital attitudes, and the construct-specific variables. The codebook is found on the second sheet of the data table ("Codebook"). The background data report of the main study (“background_report_est”, ch. 2, p. 7) describes the teachers’ background variables, incl. their level of education, years of professional experience and their intentions regarding remaining in the profession. The teachers’ digital attitudes, digital readiness and self-efficacy report (“teacher_digitalatt_self_efficincy_report_est”) describes teachers’ attitudes to using digital technologies in learning, their readiness to use digital technologies and perceptions of possibilities of using them in school, and their self-efficacy in engaging students and applying teaching strategies.Õpetaja digihoiakud, digivalmidus ja enesetõhususe raporti soovituslik viide eestikeelses allikas:
Pedaste, M. (2022). Digiefekti põhiuuringu tulemuste raport – õpetaja digihoiakud, digivalmidus ja enesetõhusus. Tartu Ülikool. http://doi.org/10.23673/re-413Õpetaja digihoiakud, digivalmidus ja enesetõhususe raporti soovituslik viide ingliskeelses allikas:
Pedaste, M. (2022). DigiEfekti põhiuuringu tulemuste raport – digipädevus [Report of the DigiEfekt project – teacher background information, digital attitudes, self-efficacy, agency]. University of Tartu. http://doi.org/10.23673/re-413Taustatunnuste raporti soovituslik viide eestikeelses allikas: Puusepp, M., Pedaste, M. (2022). Digiefekti põhiuuringu tulemuste raport – taustatunnused. Tartu Ülikool.Taustatunnuste raporti soovituslik viide ingliskeelses allikas:
Puusepp, M., Pedaste, M. (2022). DigiEfekti põhiuuringu tulemuste raport – taustatunnused [Report of the DigiEfekt project – background data]. University of Tartu
Dataset 1. Archaeological glass finds from Estonia
No full textThe purpose of collecting this data was to obtain information about the consumption of glass in Estonia with the emphasis on consumption in Tallinn, Haapsalu, and Pärnu and its changes during the post-medieval period. This dataset of finds is intended for researchers as a basis to build upon and does not contain a complete list of all glass finds. The data in this dataset were collected by Monika Reppo using archaeological finds kept at Estonian History Museum Foundation, Foundation of Haapsalu and Läänemaa Museums, Hiiumaa Museums Foundation, Pärnu Museum Foundation, Tallinn City Museum, Tallinn University archaeological Research Collection, Tartu Town Museum, University of Tartu Archaeological Research Collections, and Viljandi Museum as part of a University of Tartu PhD project ‘Glass and its makers in post-medieval Estonia’ from 2017-2023. This dataset consists of a single table which is one of three datasets in this PhD project
Dataset 3. 17th-20th century glassworks in Estonia
No full textThis dataset includes 43 glass production sites from the 17th until the 20th century. The purpose of collecting this data was to collate and update the chronology of the Estonian glass industry focusing on the dates, locations, archaeological information, and examples of existing finds from Estonian glass production sites to assist researchers in future studies of the glassworks. This dataset includes one site in modern-day Russia by the former border of the Governorate of Estonia as the workers are recorded in Narva church books. The data in this dataset were collected by Monika Reppo using both records kept and digitized at the National Archives of Estonia, Institute of the Estonian Language, Estonian History Museum, Estonian Nature Information System (EELIS), and Estonian Cultural History Archives of the Estonian Literary Museum as well as published works, maps (Estonian Land Board) and archaeological finds as part of a University of Tartu PhD project ‘Glass and its makers in post-medieval Estonia’ from 2017-2023. This dataset consists of a single table which is one of three datasets in this PhD project
Employer benefits
No full textThe dataset contains data from large survey of employees in Estonia (n. 7209) conducted in 2020 and test the association of specific benefits and their interactions with age on employees’ intention to leave.
Raw dataset consists of 9734.
Dataset is in Estonia