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DATADOI on multidistsiplinaarne avatud repositoorium teadusandmete jagamiseks ja avaldamiseks, mis põhineb avatud lähtekoodiga Dataverse tarkvaral.

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 for sharing and publishing research data, based on the open-source Dataverse software.

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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501 to 510 of 3,165 Results
Estonian_journals.xlsx
Apr 23, 2025 - Database of sentences with deeply embedded clauses
MS Excel Spreadsheet - 39.1 KB - MD5: f0d183adc8d856783f1898284b5b6e66
Samples from Estonian media
Komi_journals_fiction.xlsx
Apr 23, 2025 - Database of sentences with deeply embedded clauses
MS Excel Spreadsheet - 76.8 KB - MD5: a55f1110ccb8394de9b02e3b91e82088
Samples from Komi media and fiction
Komi_morph_tags.docx
Apr 23, 2025 - Database of sentences with deeply embedded clauses
MS Word - 16.1 KB - MD5: dff11eba2bc95884f138c61d7e66d1ad
Morph tags and abbreviations in Komi data
migratsioonieelne_statistika.html
Apr 23, 2025 - Database of sentences with deeply embedded clauses
HTML - 11.6 KB - MD5: a62fbb9ac56ccb7e60782ee98a3624cf
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
Moksha_journals_fiction.xlsx
Apr 23, 2025 - Database of sentences with deeply embedded clauses
MS Excel Spreadsheet - 49.8 KB - MD5: e716f1ac9bad64e1aa16eb6b44120450
Samples from Moksha media and fiction
README.txt
Apr 23, 2025 - Database of sentences with deeply embedded clauses
Plain Text - 2.2 KB - MD5: 2875b0027e74efac0c90ad689a86cfe1
Short summary
Sorting_eligible_sentences_with_DECs.docx
Apr 23, 2025 - Database of sentences with deeply embedded clauses
MS Word - 20.8 KB - MD5: ae9312feb81490a8d5dbc9e4eca38e2b
Criteria applied for data selection
Variables_Estonian_Moksha_morph_tags.docx
Apr 23, 2025 - Database of sentences with deeply embedded clauses
MS Word - 26.5 KB - MD5: 930c67451107f2e939de0665ff9d77b5
Morph tags and abbreviations in Estonian and Moksha data
HTM_AI_juhend_2024.pdf
Apr 21, 2025 - Lisad artiklile "Tekstirobotid ja laiendatud vaim. Kuidas mõista tehisintellekti rolli akadeemilise teksti loomes?"
Adobe PDF - 420.0 KB - MD5: 8814cd7759b3d7672fbe64df4571175c
LISA 1 - AI juhend Haridus- ja Teadusministeerium 2024
HY_Using_AI_to_support_learning_2024.pdf
Apr 21, 2025 - Lisad artiklile "Tekstirobotid ja laiendatud vaim. Kuidas mõista tehisintellekti rolli akadeemilise teksti loomes?"
Adobe PDF - 46.1 KB - MD5: 69bc73abad3255e665a10df2abefc3b4
LISA 5 - Using AI to support learning University of Helsinki 2025
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