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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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3,281 to 3,290 of 3,487 Results
Feb 12, 2019 - Arvutiteaduse andmed
Iqbal, Mubashar; Raimundas, Matulevicius, 2019, "Blockchain-based Application Security Risks: A Systematic Literature Review", https://doi.org/10.15155/RE-58, DATADOI, V1
Security risks on the blockchain-based applications are arising and there is no prior study is conducted to overview and uniform the understanding of security risks on the blockchain-based applications. This paper presents a systematic literature review to address this issue to overview of security risks on the blockchain-based applications and the...
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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...
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This files includes studies related to the SRL.
Nov 9, 2018 - Eesti ja üldkeeleteaduse andmed
Türk, Helen; Lippus, Pärtel; Pajusalu, Karl; Teras, Pire, 2018, "Inari Saami geminates", https://doi.org/10.15155/RE-57, DATADOI, V1
Data extracted from the Inari Saami prosody corpus (http://dx.doi.org/10.15155/1-00-0000-0000-0000-00150L), used in Türk et al (2018). The Acoustic Correlates of Quantity in Inari Saami. Journal of Phonetics. Target words with six different foot structures were used: CVCV, CVCCV, CVC:CV(C), CVVCV(C), CVVCCV(C), CVVC:CVC. In total there were 1463 wo...
Nov 9, 2018 - Inari Saami geminates
MS Excel Spreadsheet - 529.5 KB - MD5: 49eb3e086926213c7bb7397fb11b8370
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Nov 9, 2018 - Inari Saami geminates
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Nov 9, 2018 - Inari Saami geminates
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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...
Nov 9, 2018 - Inari Saami geminates
Plain Text - 2.5 KB - MD5: aa6c094d6ffe420f5068c6c55c8d4fb3
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Oct 23, 2018 - Eesti ja üldkeeleteaduse andmed
Aedmaa, Eleri, 2018, "(Non-)Literalness ratings for Estonian particle verbs", https://doi.org/10.15155/RE-56, DATADOI, V1
(Non-)literalness dataset of 1481 sentences formed with 184 Estonian particle verbs. Sentences are evaluated by 3 native speakers of Estonian on a 6-point scale [0,5] indicating the degree of compositionality of a particle verb. The first version of the dataset was introduced by Eleri Aedmaa, Maximilian Köper, Sabine Schulte im Walde (2018). Combin...
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