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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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Comma Separated Values - 52.8 KB - MD5: 699c70d49b6a98514fcabd625c5f48c0
The CSV file is usable as input file by the tools like described by Maria Pibilota Murumaa Master Thesis: Designing a security sensitive self-assessment framework, Supervised by Mari Seeba (University of Tartu) and Tarmo Oja (Cybernetica AS) https://hdl.handle.net/10062/105284
HTML - 1.7 KB - MD5: 07ba245d6a6d6b5ba42abf39d9532802
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 - 1.7 KB - MD5: d3eaa0b93aa936cf40a01dcbbaf76757
Dec 4, 2025 - Keemia instituudi andmed
Mooste, Marek; Kumar, Rohit; Juvanen, Silver; Kikas, Arvo; Treshchalov, Alexey; Käärik, Maike; Aruväli, Jaan; Leis, Jaan; Kisand, Vambola; Kukli, Kaupo; Schonvogel, Dana; Wagner, Peter; Wilhelm, Michaela; Tammeveski, Kaido; Friedrich, K. Andreas, 2025, "Data of binary transition metal and nitrogen functionalised silicon oxycarbide electrocatalysts for zn–air battery air electrode application", https://doi.org/10.23673/RE-561, DATADOI, V1
This dataset contains the data presented in the figures of published paper "Binary transition metal and nitrogen functionalised silicon oxycarbide electrocatalysts for zn–air battery air electrode application" International Journal of Energy Research 2025 252866 (https://doi.org/10.1155/er/4252866). The electrochemical characterisation data, which...
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