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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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2,191 to 2,200 of 3,476 Results
May 10, 2021 - Psühholoogia andmed
Kask, Annika; Põldver, Nele; Ausmees, Liisi; Kreegipuu, Kairi, 2021, "Subjectively different emotional schematic faces not automatically discriminated from the brain’s bioelectrical responses", https://doi.org/10.23673/RE-282, DATADOI, V1
The present study investigates how the brain automatically discriminates emotional schematic faces, as indicated by the mismatch responses, and how reliable these brain responses are. Thirty-three healthy volunteers participated in the vMMN EEG experiment with four experimental sets differing from each other by the type of standard (object with scr...
MS Excel Spreadsheet - 277.8 KB - MD5: fcae90ac6341ff099323f2a3fd80a394
EEG mean amplitudes in ~20ms intervals for angry, happy and neutral deviants, standards and vMMN amplitudes
HTML - 1.6 KB - MD5: 5499dacff41b21a1dfca801049f86a64
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...
MS Excel Spreadsheet - 15.6 KB - MD5: e79a13d32d42ec7842cd524d60877e2b
Subjective evaluations to angry, happy and neutral deviant and two standard stimuli
May 5, 2021 - Ühiskonnateaduste andmed
Pekarev, Janar, 2021, "List of publications for systematic literature review", https://doi.org/10.23673/RE-281, DATADOI, V1
The Weaponization of artificial intelligence (AI) is upending traditional warfare as the development of autonomous weapons systems (AWS) increases in pace and sophistication. As a result, the concept of the weaponized AI, where a weapon system that, once activated, can select and engage targets without human intervention, creates serious complicati...
Adobe PDF - 80.8 KB - MD5: fee2b546b82d7986938176e9b7e13216
HTML - 700 B - MD5: 79da7ba44461b593b4f6afc1f09853c4
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...
Apr 7, 2021 - ÜTI andmed
Bugarszki, Zsolt; Lepik, Katri-Liis; Kangro, Kadri; Medar, Marju; Amor, Kristina; Medar, Marko; Saia, Koidu, 2021, "Sotsiaalse häkätoni juhis", https://doi.org/10.23673/RE-280, DATADOI, V1
CoSIE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 770492
Adobe PDF - 4.9 MB - MD5: 56864000ae022e459945d786ff99f7c4
CoSIE Social Hackathon Guidelines
Adobe PDF - 5.3 MB - MD5: e5c786fc222367da3a15860b621112c9
CoSIE sotsiaalse häkätoni juhis
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