432 research outputs found
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Kõnetempo ja -soravuse varieerumine eesti keeles (data)
No full textSiin repositooriumis on kõnetempo ja -soravuse andmestikud ja nende analüüsiks kasutatud R kood, mida on kasutatud artiklis: Pärtel Lippus, Maarja-Liisa Pilvik, Kaidi Lõo, Liina Lindström. 2024. Kõnetempo ja -soravuse varieerumine eesti keeles. Eesti Rakenduslingvistika aastaraamat 20. // This is the data & code for analysing speech rate and fluency in Estonian for the paper in the Estonian Papers in Applied Linguistics, the Yearbook of EAAL vol 20
Data of catalyzing oxygen reduction by morphologically engineered ZIF-derived carbon composite catalysts in dual-chamber microbial fuel cells
No full textThis dataset contains the data presented in the figures of pulbished paper "Catalyzing oxygen reduction by morphologically engineered ZIF-derived carbon composite catalysts in dual-chamber microbial fuel cells
" Journal of Environmental Chemical Engineering 12 112242 (https://doi.org/10.1016/j.jece.2024.112242)
The electrochemical characterisation data, which was measured in University of Tartu Institute of Chemistry, is for Figures 4, 5, 6, S7, S8, and S9 and the nomenclature of the catalysts is the same as in the mentioned article
Riigikaitse ja avalik arvamus 2024
No full textAndmetele ligipääsu taotlemiseks palun võtta ühendust TÜ ühiskonnateaduste instituudi empiirilise sotsioloogia professor Kairi Kasearuga aadressil [email protected] ja analüütik Elen Linaga aadressil [email protected] Kaitseministeeriumi tellitud regulaaruuringu "Riigikaitse ja avalik arvamus" andmestik 2024
Tartu Ülikooli liivi keele korpus
No full textTartu Ülikooli liivi keele korpus on liivi keele näiteid koondav elektrooniline andmekogu. Esindatud on nii idaliivi, lääneliivi kui ka Īra keelekasutus. Suurem osa korpusesse koondatud materjalist pärineb kolmest tekstikogumikust, kuid kasutatud on ka lindistuste litereeringuid. Sellest repositooriumist leiab morfoloogiliselt märgendatud tekstid XML-formaadis ning nende põhjalt (üksnes kirjalike tekstide kohta) koostatud märksõnade, sõnaliikide ja -vormide sagedusloendid ning keelejuhtide metaandmed. Korpusest saab teha päringuid aadressilt https://www.murre.ut.ee, valides keeleks liivi keele. TÜ liivi keele korpus kuulub eesti murrete korpuse juurde.The Livonian language corpus of the University of Tartu is an electronic database that includes inguistic data on Livonian. The language use of the speakers from the Eastern Livonian, Western Livonian and Ira dialectal areas are represented. Most of the linguistic material found in the corpus mainly originates from three collections of texts, but transcriptions of recordings of spoken language data have also been used. This repository contains morphologically annotated texts in XML format along with frequency lists of lemmas, part-of-speech tags, morphological forms as well as metadata (only for written texts). The corpus can be accessed at https://www.murre.ut.ee by selecting Livonian as the language. The Livonian language corpus is part of the corpus of Estonian dialects
Desirable writing group practices to build a sense of community to promote desirable feedback
No full textDesirable writing group practices to build a sense of community to promote desirable feedback
A writing group meeting gives students the opportunity to give and receive oral feedback from each other in a harmonious learning environment. From research conducted on participating students in the USA as part of a postdoctoral research project funded by Estonian Research Council PUTJD1121, this instructional artefact gives instructor and student guidance on how to conduct synchronous writing group meetings to build a sense of writing community to obtain desirable feedback. The guide contains three sections: (i) Facilitator guidelines, (ii) student guidelines, and (iii) instructions for a reflective group workshop to improve writing group practices
Financial well-being and personality
No full textThe data were collected as part of an online panel study in Estonia in April 2024 by the survey agency Norstat.
The questionnaire was programmed in LimeSurvey and consisted of three sections. The first section included socio-demographic indicators, comprised of age, gender, education, and area of residence. Age was grouped into 5-year blocks except for the 18-19 age group. The area of residence was categorised based on indicators from the Estonian Department of Statistics. The second section of the questionnaire consisted of questions related to personality. The 20 statements validated in the Estonian National Mental Health Study (Laidra et al., 2023) are part of a more extensive personality questionnaire that was previously used in personality research. This questionnaire was developed to investigate the links between personality traits and genetics (Arumäe et al., 2025). The third section contained nine items measuring the three dimensions of FWB The final part of the questionnaire included questions about the respondents’ occupation and satisfaction with their current monetary situation (income). The study was also preregistered in the Open Science Framework (https://osf.io/t9j5s) environment.
The sample consists of 1007 adults aged 18-74. The participants could complete the questionnaire in either Estonian or Russian. The sample was formed according to quotas for different socio-demographic indicators that were created in line with Estonian population statistics. This approach was chosen to create a sample that closely matches the Estonian adult resident population in terms of key demographic characteristics
Dataset on Firm Innovation: Merging Enterprise Surveys, Cultural Dimensions, and Economic Freedom Data
No full textThis dataset is used in an academic paper investigating the influence of culture on firm innovation. The primary dataset is derived from the Enterprise Surveys (ES), a collaborative effort by the European Bank for Reconstruction and Development, the European Investment Bank, and the World Bank Group, collected between 2018 and 2020. For the purpose of this study, the ES data has been merged with the cultural dimensions dataset proposed by Kaasa and Minkov (2022), which includes the dimensions of freedom-concern and responsibility-faith. The cultural dimension values have been rescaled to range from 1 to 10, facilitating a smoother interpretation of their quantitative effects on firm-level innovation. After excluding responses such as “Don’t know” and “Does not apply,” the final dataset contains 4,894 observations from 37 countries. To ensure robustness, the Economic Freedom Index from the Fraser Institute has been incorporated. By averaging the Economic Freedom Index scores for each country from 2018 to 2020 and rescaling these values to range between 1 and 10 (where higher values indicate greater economic freedom), we refined our dataset further. This additional step produced a comprehensive dataset of 4,193 observations across 33 countries. The two datasets—one without the economic freedom variable and one with it included—offer valuable insights for analyzing the interplay between cultural dimensions, economic freedom, and firm innovation. Modifications to both the cultural and economic freedom variables have been applied to maintain data consistency and integrity
Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
No full textAtomically dispersed active sites and hierarchical porosity in Fe–N–C catalyst materials are essential for efficient oxygen reduction reaction (ORR) electrocatalysis and effective mass transport, respectively. However, the majority of these catalysts fail to deliver outstanding electrocatalytic activity and stumble when used as cathode
materials in fuel cells. Herein, we developed a catalyst with partially transformed metallic Fe into Fe-Nx sites embedded in the carbonaceous matrix, and its excellent electrocatalytic performance is attributed to the hybrid nanoparticles and built-in Fe-Nx site structures. The optimized Fe@Fe–N–C catalyst was tested for ORR performance both ex-situ using the rotating (ring)-disk electrode technique and in an anion exchange membrane fuel
cell (AEMFC). The Fe@Fe–N–C electrocatalyst exhibited remarkably enhanced ORR activity in alkaline media with a half-wave potential of 0.822 V vs. reversible hydrogen electrode (RHE) and showed the maximum power density (Pmax) of 242 mW cm− 2 in an AEMFC test, surpassing the peak power density obtained from the Pt/C cathode catalyst (Pmax = 220 mW cm− 2 ) under H2–O2 conditions. Therefore, the study provides a promising prospect for designing improved, cost-effective, and noble metal-free electrocatalysts for achieving high performance in AEMFCs
Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction
No full textThis dataset contains the data presented in the figures of published paper “Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction” published in
ChemSusChem (2024) 18, e202401332 (https://doi.org/10.1002/cssc.202401332)
This dataset contains data for Figures 5 and 6a