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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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1,781 to 1,790 of 3,595 Results
Oct 3, 2022 - PB voting data
HTML - 1.0 KB - MD5: 32b0ef966648f98b0513eb33c345c44b
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...
Oct 3, 2022 - PB voting data
Plain Text - 5.6 KB - MD5: d86edb723fac641615844c6e420d6f97
Oct 1, 2022 - Kliinilise meditsiini andmed
Rips, Leho; Luik, Mihkel; Koovit, Tauno; Saar, Helena; Kuik, Rein; Kartus, Jüri-Toomas; Rahu, Madis, 2022, "Men have higher risk of kinesiophobia after anterior cruciate ligament reconstruction in long term follow up.", https://doi.org/10.23673/RE-357, DATADOI, V1
Embargoed until October 2024 Background Psychological and physiological factors could negatively affect patients' recovery and increase re-injury rate after anterior cruciate ligament reconstruction (ACLR). In daily practice surgeons and physiotherapists see athletes struggling to improve muscle strength and complaining of lack of self-confidence d...
MS Excel Spreadsheet - 71.0 KB - MD5: d2284cc4d9c765da85a4a721b82fe29c
ACLR Kinesiophobia datasheet Fail on embargo all kuni 2024-10-26. File is under embargo until 2024-10-26.
Sep 27, 2022 - Poliitikauuringute andmed
Dmytro, Khutkyy, 2022, "OGP voting data", https://doi.org/10.23673/RE-356, DATADOI, V1
This project has received funding from the European Union’s Horizon 2020 research and innovation programme. Comprehending Internet Voting Impact on Open Government: An International Comparative Study (CIVICS), grant No 101038044. The dataset constitutes a collection of URLs to reports by the Open Government Partnership (OGP) Independent Reporting M...
Sep 27, 2022 - OGP voting data
Comma Separated Values - 2.1 KB - MD5: 44b69439a73fd4920c2b1acfbe004425
Sep 27, 2022 - OGP voting data
HTML - 1.7 KB - MD5: f76414ddbc5477dbbc16df3288c4326e
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...
Sep 27, 2022 - OGP voting data
Plain Text - 1.7 KB - MD5: f26fd2e45062745a6ce0cba3eb3a31bd
Sep 23, 2022 - Ajaloo ja arheoloogia andmed
Ehrlich, Freydis; Lõugas, Lembi, 2022, "Dataset on zooarchaeological records obtained from the Oa Street, Tartu (Estonia), excavations in 2021", https://doi.org/10.23673/RE-355, DATADOI, V1
The dataset contains animal bone identifications carried out by Freydis Ehrlich and Lembi Lõugas in 2021-2022. The bones come from the archaeological excavations conducted in Oa Street, Tartu, in 2021. The material is dated to the 13th till the 20th centuries. When using this dataset, please cite as follows: Ehrlich, F., Lõugas, L. 2022. Dataset on...
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