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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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Adobe PDF - 422.9 KB - MD5: 721dca9a7c8da3e820bda83c4cb866ea
Aug 5, 2025 - Keemia instituudi andmed
Kisand, Kaarel; Sarapuu, Ave; Tammeveski, Kaido, 2025, "Data of Bifunctional multi-metallic nitrogen-doped nanocarbon catalysts derived from 5-methylresorcinol", https://doi.org/10.23673/RE-533, DATADOI, V1
This dataset contains the data presented in the figures of published paper “Bifunctional multi-metallic nitrogen-doped nanocarbon catalysts derived from 5-methylresorcinol” published in Electrochem. Commun. (2021) 124, 106932 (https://doi.org/10.1016/j.elecom.2021.106932) This dataset contains data of Figure 3.
Comma Separated Values - 57.8 KB - MD5: 67e59e178289b429edaccc4bd31cb35b
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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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Aug 5, 2025 - Keemia instituudi andmed
Kisand, Kaarel; Sarapuu, Ave; Tammeveski, Kaido, 2025, "Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction", https://doi.org/10.23673/RE-534, DATADOI, V1
This dataset contains the data presented in the figures of published paper “Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction” published in ChemSusChem (2024) 18, e202401332 (https://doi.org/10.1002/cssc.202401332) This dataset contains data for Figures 5 and 6a.
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