432 research outputs found
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Main dataset of the MetDect project
No full textThis dataset contains data collected and organised at Tallinn University, as a part of the MetDect project ("Metal-detected past: a study of long-term developments in settlement patterns, technology and visual culture on the example of metal-detector finds from Estonia" funded by the European Commission, Grant Agreement ID: 101003387). The main dataset contains information on metal-dected artefacts found in Estonia and identified by local archaeologists in the form of expert opinions (EH for short). Each record corresponds to one artefact, regardless of its condition (e.g. fragmented, burnt) or determination (e.g. unidentifiable), as long as it is recorded in the EH. Information is provided on artefact types, dates, contexts and general location. The MetDect dataset contains nearly 42,000 records. Sensitive information (excat location information) is not publicly available. The supplementary dataset shows how the EH-s are systematised for the main dataset. The number of EH-s is almost 800 and all EH-s were completed between 2013-2021
Phonetic Corpus of Estonian Spontaneous Speech v1.3
No full textThe Phonetic Corpus of Estonian Spontaneous Speech consists of recordings that have been annotated on different linguistic tiers including words and segments and their boundaries in the speech signal. The corpus mainly contains dialogues. The corpus can be used for studying different phonetic and linguistic research questions and for training various language technological applications (e.g. speech recognition, dialogue systems). In addition to the detailed phonetic segmentation the corpus has word-level annotation uses standard orthography so the corpus can be used with most NLP tools built for written language.
The corpus includes:
- Studio quality sound recordings, separate channels for each speaker;
Spontaneous conversation between 2-3 speakers, approximately 30 minutes for each recording;
- Manual transcription of words and phonemes;
- 207 individual speakers in the age range of 20–85 years;
- A total of 135 hours of speech recordings;
- Word & phoneme level annotation of 106 hours / one milion word level intervals
Data of tuning NiCo2O4 bifunctionality with nitrogen-doped graphene nanoribbons in oxygen electrocatalysis for zinc-air battery application
No full textThis dataset contains the data presented in the figures of pulbished paper "Tuning NiCo2O4 bifunctionality with nitrogen-doped graphene nanoribbons in oxygen electrocatalysis for zinc-air battery application" Journal of Electroanalytical Chemistry 928 117000 (https://doi.org/10.1016/j.jelechem.2022.117000)
The electrochemical characterisation data, which was measured in University of Tartu Institute of Chemistry, is for Figures 6, 7, S17 and the nomenclature of the catalysts is the same as in the mentioned article
DigiEfekt: õpilaste digitehnoloogiate kasutamise piirangud ja reeglid: õpilaste, lapsevanemate ja koolide perspektiiv (limitations and rules for the use of technology: the perspective of students, parents and schools)
No full textÕpilaste digitehnoloogiate (digiseadmete, -keskkondade, -sisu ja interneti) kasutamise reeglite ja piirangute andmekogu on osa DigiEfekti (DIGIVARA5) koondandmekogust. Andmekogu koosneb andmetabelitest (“student_devrulesrestrict_data.xlsx”; “parent_devrulesrestrict_data.xlsx”; “school_devrulesrestrict_data.xlsx”), kus koodiraamat on lisatud andmefailis teisele lehele ("Codebook"), ning uuringu instrumenti ja tulemusi kirjeldavast raportist (“devrulesrestrict_report_est”). Instrument on leitav "Digiefekti projekti koondfail (DigiEfekt project merged data" (https://datadoi.ee/handle/33/552) sissekandes, "background_quest_est" failis.
Raportis kirjeldatakse Eesti põhikooliõpilastele (3., 6. ja 9. klass) kodudes kehtestatud digiseadmete, -keskkondade, -sisu ning interneti kasutamise reegleid ja piiranguid nii õpilaste endi kui ka lapsevanemate vaatest. Induktiivse sisuanalüüsi abil loodi piiranguid kirjeldav raamistik kategooriate, alamkategooriate ning muutujatega. Raportis võrreldakse ka piirangute esinemise sagedust nii klasside kaupa kui ka õpilaste ja lapsevanemate omavahelises võrdluses. Lisaks kirjeldatakse lühidalt koolides kehtivate reeglite ning piirangute eripärasid.[ENG] The data set on students' rules and restrictions for using digital technologies (digital devices, environments, content and the internet) is part of the DigiEfekt (DIGIVARA5) aggregated data set. The data set consists of data tables (“student_devrulesrestrict_data.xlsx”; “parent_devrulesrestrict_data.xlsx”; “school_devrulesrestrict_data.xlsx”), where the codebook is found on the second sheet of the data file ("Codebook"), and a report describing the study instrument and results ("devrulesrestrict_report_est"). You can find the instrument here: https://datadoi.ee/handle/33/552 in fail "background_quest_est"
The report describes the rules and restrictions imposed on the use of digital devices, environments, content and the internet for Estonian primary school students (grades 3, 6 and 9) in their homes, from the perspective of both the students themselves and their parents. A framework describing the restrictions with categories, subcategories and variables was created using inductive content analysis. The report also compares the frequency of restrictions by grade and between students and parents. In addition, the report briefly describes the specific characteristics of the rules and restrictions for digital technologies in place in schools.Raporti soovituslik viide eestikeelses allikas: Puusepp, M. & Pedaste, M. (2022). DigiEfekti põhiuuringu tulemuste raport – digiseadmete, -keskkondade ja -sisu ning interneti kasutamise reeglid ja piirangud. Tartu Ülikool. http://doi.org/10.23673/re-430Raporti soovituslik viide ingliskeelses allikas: Puusepp, M. & Pedaste, M. (2022). DigiEfekti põhiuuringu tulemuste raport – digiseadmete, -keskkondade ja -sisu ning interneti kasutamise reeglid ja piirangud. [Report of the DigiEfekt project – limitations and rules for the use of technology: the perspective of students, parents and schools]. University of Tartu. http://doi.org/10.23673/re-43
PB voting data
No full textThis project has received funding from the European Union’s Horizon 2020 research and innovation programme. Comprehending Internet Voting Impact on Open Government: An International Comparative Study (CIVICS), grant No 101038044.The dataset contains structured data on voting for participatory budgeting projects in selected Ukrainian communities from 2017 through 2020
Eesti murrete korpus
No full textEesti murrete korpus on kõiki eesti murdeid hõlmav elektrooniline andmekogu. Korpus koosneb helisalvestistest, foneetilises transkriptsioonis murdetekstidest, lihtsustatud transkriptsioonis murdetekstidest, morfoloogiliselt märgendatud tekstidest, süntaktiliselt märgendatud tekstidest ja metaandmetest. Selles repositooriumis on kättesaadavaks tehtud morfoloogiliselt märgendatud tekstid XML-formaadis ja nende põhjal koostatud märksõnade ja sõnaliikide sagedusloendid. Muude korpuse osadega saab tutvuda Tartu Ülikooli eesti murrete ja sugulaskeelte arhiivi kaudu lehel https://murdearhiiv.ut.ee/.The corpus of Estonian dialects is an electronic database comprising data from all Estonian dialects. The corpus consists of audio recordings, dialect texts in phonetic transcription, dialect texts in simplified transcription, morphologically annotated texts, syntactically annotated texts, and metadata. In this repository, only the morphologically annotated texts in XML format along with frequency lists of lemmas and part-of-speech tags are made available. Other parts of the corpus can be accessed through the University of Tartu Archives of Estonian Dialects and Kindred Languages at https://murdearhiiv.ut.ee/
Data and R code for 'Speed and space' (Taremaa & Kopecka)
No full textData and statistical code used in the paper "Speed and space: semantic asymmetries in motion descriptions in Estonian" (published in Cognitive Linguistics; Ahead of Print, published online 8 December 2022
Data of Electroreduction of oxygen on iron- and cobalt-containing nitrogen-doped carbon catalysts prepared from the rapeseed press cake
No full textThe dataset contains the data presented in the figures of the published article "Electroreduction of oxygen on iron- and cobalt-containing nitrogen-doped carbon catalysts prepared from the rapeseed press cake", Journal of Electroanalytical Chemistry 920 (2022) 116599 (https://doi.org/10.1016/j.jelechem.2022.116599). The dataset contains data for Figures 3 and 4
Investment needs and investment readiness amongst Estonian social enterprises
No full textThis analysis report is part of the project: ‘Kick-starting the nascent social finance market in Estonia (SoFiMa)’.
The project consortium includes the Baltic Innovation Agency, Tallinn University, Võru County Development Centre,
and the Estonian Social Enterprise Network. The project is also supported by AS SEB Bank and the start-up accelerator,
Buildit.
This analysis report focuses on investment needs and investment readiness amongst Estonian social enterprises. The
report also addresses the process of capacity-building to ensure investment readiness, and the capability levels of
existing support organisations in terms of being able to provide the necessary services to social enterprises.
This analysis report is being co-financed by the European Commission through the ‘Employment and Social Innovation’
‘EaSI’ 2014-2020. One of the objectives of the EaSI programme is to promote employment and social inclusion by
improving financial access for social enterprises, while the programme also supports the development of the social
enterprise finance market.
For further information please consult: http://ec.europa.eu/social/easi
Disclaimer: The European Commission support for the production of this publication does not constitute endorsement
of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any
use which may be made of the information contained therein.
Recommended citation: Tallinn University (2022): ‘Investment needs and investment readiness amongst Estonian
social enterprises’. Authors: Katri-Liis Lepik, Eliisa Sakarias, Merle Praakli, and Lucas De Bont
Data of Iron-Containing Nitrogen-Doped Carbon Nanomaterials Prepared via NaCl Template as Efficient Electrocatalysts for the Oxygen Reduction Reaction
No full textThe dataset contains the data presented in the figures of published paper:
"Iron-Containing Nitrogen-Doped Carbon Nanomaterials Prepared via NaCl Template as Efficient Electrocatalysts for Oxygen Reduction Reaction", ChemElectroChem 8 (2021) 2288-2297 (https://doi.org/10.1002/celc.202100571