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DATADOI on multidistsiplinaarne Tartu Ülikoolile kuuluv avatud repositoorium teadusandmete jagamiseks ja avaldamiseks, mis põhineb avatud lähtekoodiga Dataverse tarkvaral ja mida haldab Tartu Ülikooli raamatukogu.

Andmed tuleks talletada selle asutuse kollektsiooni, millega vähemalt üks kaasautoritest on seotud. DATADOI sisaldab praegu institutsionaalseid kollektsioone Tartu Ülikoolile, Tallinna Ülikoolile, Estonian Business Schoolile ja Eesti Teadusagentuurile.

Kui sobivat kollektsiooni veel ei ole, võtke ühendust DATADOI meeskonnaga aadressil datadoi@datadoi.ee.

DATADOI is a multidisciplinary open repository owned by the University of Tartu for sharing and publishing research data, based on the open-source Dataverse software and managed by the University of Tartu Library.

Data should be deposited in the institutional collection assigned to the institution with which at least one of the contributors is affiliated. DATADOI currently includes institutional collections for the University of Tartu, Tallinn University, Estonian Business School, and the Estonian Research Council.

If a suitable collection does not yet exist, please contact the DATADOI team at datadoi@datadoi.ee.

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91 to 100 of 3,617 Results
Estonian Double Modal Corpus sentences
Jul 14, 2026 - Eesti ja üldkeeleteaduse andmed
Matthis, Maria Sophie; Kehayov, Petar, 2026, "Estonian Double Modal Corpus sentences", https://doi.org/10.23673/BHLELN, DATADOI, V1, UNF:6:hU0oF6925lrnaJdmmYjsew== [fileUNF]
This dataset contains 739 Estonian double modal constructions extracted from the 2023 Estonian National Corpus. It was compiled to investigate the distribution and semantics of double modal constructions in Estonian as part of an MA thesis. The dataset aims to include approximately 30 examples of each double modal verb combination where sufficient...
data.tab
Jul 14, 2026 - Estonian Double Modal Corpus sentences
Tabular Data - 151.2 KB - 9 Variables, 811 Observations - UNF:6:hU0oF6925lrnaJdmmYjsew==
README.md
Jul 14, 2026 - Estonian Double Modal Corpus sentences
Markdown Text - 5.4 KB - MD5: bbf19d959c6e0db84da23ae94aa1ef5c
Keelekorpus
Jul 14, 2026 - UTLIB andmed
Zettur, Piret, 2026, "Keelekorpus", https://doi.org/10.23673/8DVEXE, DATADOI, V1
Keelekorpus sisaldab Tartu Ülikooli toimetiste tekste aastatest 1921-1995. Kogum hõlmab toimetiste numbreid, mis sisaldavad eestikeelseid tekste. Andmekogu on loodud „Taaste- ja vastupidavusrahastu komponent 3 „Digiriik“ reformi „Andmehalduse ja avaandmete oivakesuse loomine ja väljaarendamine“ raames.
1921_1.7z
Jul 14, 2026 - Keelekorpus
7Z Archive - 506.7 MB - MD5: 830607d3f6641132631736361c631b0d
Tartu Ülikooli toimetiste pakitud failid json formaadis
README.txt
Jul 14, 2026 - Keelekorpus
Plain Text - 869 B - MD5: 1c7c4c90b5b0e5985fad59dce91e7775
Andmestiku kirjeldus
Source data files for the manuscript titled "Experimental change in temperament: Conversion of the low exploratory phenotype into highly explorative by overexpression of GDNF in the rat striatum" (submitted to Molecular Psychiatry)
Jul 13, 2026 - Keemia instituudi andmed
Harro, Jaanus, 2026, "Source data files for the manuscript titled "Experimental change in temperament: Conversion of the low exploratory phenotype into highly explorative by overexpression of GDNF in the rat striatum" (submitted to Molecular Psychiatry)", https://doi.org/10.23673/CYTXTJ, DATADOI, V2, UNF:6:lYtUjfg0xI5W/bLBUjpz7Q== [fileUNF]
This dataset contains the source data presented in the figures of the paper "Experimental change in temperament: Conversion of the low exploratory phenotype into highly explorative by overexpression of GDNF in the rat striatum" (Molecular Psychiatry, 2026. https://doi.org/10.1038/s41380-026-03753-7).
README.txt
Jul 13, 2026 - Source data files for the manuscript titled "Experimental change in temperament: Conversion of the low exploratory phenotype into highly explorative by overexpression of GDNF in the rat striatum" (submitted to Molecular Psychiatry)
Plain Text - 2.7 KB - MD5: 9a965293a5f8cf812b52206d154a43b7
Environmental Politics Expert Survey
Jul 10, 2026 - Poliitikauuringute andmed
Haapanen, Ville, 2024, "Environmental Politics Expert Survey", https://doi.org/10.23673/RE-478, DATADOI, V2
This dataset consists of data on the positions of political parties on various environmental scales in 25 European countries. The expert survey was administered between June and July 2024 to 285 experts on political parties and environmental politics. It is being made public for research use. The EPES expert-level.csv files provide raw data at the...
EPES avg 1.4.rdata
Jul 10, 2026 - Environmental Politics Expert Survey
Gzip Archive - 9.6 KB - MD5: 09750ec3edeb559fdc051af24a102aaf
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