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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 - 29.4 KB - MD5: da468a58c37399baa619c0d9605ef0b2
Comma Separated Values - 11.2 KB - MD5: c0ded13b2db724a5add922655e21291b
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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...
Jun 26, 2025 - Keemia instituudi andmed
Lüsi, Madis; Erikson, Heiki; Piirsoo, Helle-Mai; Paiste, Päärn; Aruväli, Jaan; Kikas, Arvo; Kisand, Vambola; Tamm, Aile; Tammeveski, Kaido, 2025, "Data of oxygen reduction reaction on PdM/C (M = Pb, Sn, Bi) alloy nanocatalysts", https://doi.org/10.23673/RE-528, DATADOI, V1
This dataset contains the data presented in the figures of published paper "Oxygen reduction reaction on PdM/C (M = Pb, Sn, Bi) alloy nanocatalysts" published in Journal of Electroanalytical Chemistry 917 (2022) 116391. https://doi.org/10.1016/j.jelechem.2022.116391 This dataset contains data for Figures 4, 6.
Comma Separated Values - 87.2 KB - MD5: 5a1da9f259dcc9ee55a1dc12d2f2b558
Comma Separated Values - 87.5 KB - MD5: dfcfc8a4722c38d6a393b75c4cec7e6b
Comma Separated Values - 58.2 KB - MD5: 0ec435e1f84d49e1a154ae7661043a31
Comma Separated Values - 25.1 KB - MD5: 08b99954c05cbb3d83707cbe43c7c34c
HTML - 1.8 KB - MD5: d9fd9a736b43932ea7326b153715c079
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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