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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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381 to 390 of 3,487 Results
Tabular Data - 17.0 KB - 49 Variables, 47 Observations - UNF:6:FJYFEOXPTehV1qh2m9OCSw==
Tabular Data - 1.9 MB - 9 Variables, 28013 Observations - UNF:6:ncc6vxKmKZGrQc3g5L09lQ==
Plain Text - 13.1 KB - MD5: a321aa5fa1228ac8ed505a72d199cdb8
May 21, 2025 - Füüsika andmed
Tamm, Artur, 2025, "Short-range order structures of Ni-based FCC ternary and quaternary alloys", https://doi.org/10.23673/RE-518, DATADOI, V1
This dataset contains structures (VASP format) of Ni-based ternary (NiCrCo) and quaternary (NiCrCoFe) equimolar alloys obtained from MC-DFT simulations. The initial structures with random ordering are included as well.
Gzip Archive - 10.8 MB - MD5: 0190ef06b020998a3e33409be87f1335
Compressed archive containing structures and descriptions
Plain Text - 294 B - MD5: d1685c37b596920dc9462f133eade98c
For citations
Plain Text - 18.2 KB - MD5: 9a788123ae6c2a2d9b2b4cf673e950e7
License of the dataset
HTML - 10.3 KB - MD5: f17daa89611aaa7b2ce905b88dcdad9c
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 - 2.3 KB - MD5: 78b952fb90c1ffaf42d16cbb3d28b0c1
README-file
May 20, 2025 - Keemia instituudi andmed
Ahmed, Zubair; Akula, Srinu; Kozlova, Jekaterina; Piirsoo, Helle-Mai; Kukli, Kaupo; Kikas, Arvo; Kisand, Vambola; Käärik, Maike; Leis, Jaan; Treshchalov, Alexey; Aruväli, Jaan; Tammeveski, Kaido, 2025, "Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells", https://doi.org/10.23673/RE-517, DATADOI, V1
Atomically dispersed active sites and hierarchical porosity in Fe–N–C catalyst materials are essential for efficient oxygen reduction reaction (ORR) electrocatalysis and effective mass transport, respectively. However, the majority of these catalysts fail to deliver outstanding electrocatalytic activity and stumble when used as cathode materials in...
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