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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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MS Word - 22.3 KB - MD5: 59771788a4169d1cf381df5a20e1ad6a
POPREBEL WP4 dataset codebook Oct 2022
MS Excel Spreadsheet - 199.9 KB - MD5: d6f9a3cddf5b691c7bea143ca09aa594
POPREBEL WP4 dataset v1 Oct 2022
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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...
Plain Text - 3.0 KB - MD5: de20f243984fd215a70d2db20369b4e0
README file
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Experiment data (characteristics of the recordings)
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Coded data
ZIP Archive - 1.4 MB - MD5: 16e84f78b62ca5eb6c263de49b0d3833
The data contained in these files was used in the clustering task performed with the aim to uncover the organizational structures of MA theses in two Baltic languages. X.csv files contain the features feeding the models while y.csv files contain the groundtruths and doc_names.csv contain the original documents name.
ZIP Archive - 5.0 MB - MD5: 7bb542721ea89b2a97761297339a9d21
The data in these different folders was used in the different classification tasks performed with the aim to uncover the organizational structures of MA theses in two Baltic languages. X.csv files contain the features feeding the models while y.csv files contain the groundtruths.
HTML - 10.1 KB - MD5: 83be00e8cba4cc197ac70cbeb1875156
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...
Plain Text - 2.1 KB - MD5: 4c6017433cb821edfc86531cfbbc838b
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