Metrics
13 Downloads

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.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

81 to 90 of 3,487 Results
3D Model - 17.7 MB - MD5: 14e4069461f1f46e5dde83c21356e2b1
SCN_033. 12.08.2011. 6 photos. [Partial] Textile impressions reconstruction, with spatial relations consistent mostly in two dimensions.
3D Model - 13.5 MB - MD5: 088abe77770e9e9cb3c4657ad73334ec
SCN_034. 14.08.2011. 6 photos. Successful Reconstruction of a bent sword.
Jan 21, 2026 - Poliitikauuringute andmed
Kilp, Alar; Pavlova, Elena; Nurseitova, Aigerim; Mölder, Martin; Vilson, Maili; Belova-Dalton, Oksana; Pääbo, Heiko; Tadevosyan, Azniv; Kama, Epp; Vain, Kristiina; Aavik, Anna-Lisa; Holm, Mailiis Astrid; Oks, Liisa; Peterson, Betti Marie; Stepanova, Diana; Abzalova, Albina; Dubov, Vladislav; Klimenko, Klim, 2026, "National Identity Dataset (Making Identity Count) for Estonia, 1990–2020", https://doi.org/10.23673/RE-567, DATADOI, V1
This dataset was compiled within the research project PRG1052 “National Identity and Estonian–Russian Relations: a Longitudinal Study of Elite and Mass Discourses” (2021–2025) and is a longitudinal dataset on national identity created using the Making Identity Count methodology. The dataset is divided into two language-specific subsets—Estonian-lan...
Comma Separated Values - 6.8 MB - MD5: ac3930303241b54044f7d13b9bf74f71
Estonian language data from Estonia.
Comma Separated Values - 8.7 MB - MD5: 1a37bdbcfb89e1104a26847901096273
Russian language data from Estonia.
Comma Separated Values - 3.4 MB - MD5: 835a0ba6d8cbbd5a9850aea5d36efa5f
Data from Russia 2020.
HTML - 804 B - MD5: c1efe8e24d7281448e873be30ea326ff
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 - 7.1 KB - MD5: 1715460206fb80c38560b947e68cbe4f
README file for the dataset, including the codebook for the data files.
Jan 19, 2026 - TRAVIS
Tiidenberg, Katrin; Davidjants, Jaana; Gombe, Patience, 2026, "Trust And Visuality: Everyday Digital Practices (TRAVIS): intervjuud", https://doi.org/10.23673/RE-566, DATADOI, V1
Andmed on kogutud uurimisprojekti „Usaldus ja visuaalsus igapäevastes digitegevustes“ (Trust And Visuality: Everyday digital practices (TRAVIS)) raames 2023. aastal. Andmestik sisaldab 15 semistruktureeritud intervjuu transkriptsiooni 18-30 aastaste sotsiaalmeediakasutajatega nende tervist ja heaolu puudutava sotsiaalmeediakommunikatsiooni kogemuse...
Rich Text Format - 6.0 KB - MD5: b6efc99a67641351570ed0b3a4a229fe
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.