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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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241 to 250 of 3,487 Results
Oct 6, 2025 - Farmaatsia andmed
Gerulis, Oksana; Lanno, Georg-Marten; Putrinš, Marta; Moor, Marilin; Niemczyk-Soczynska, Beata; Kowalczyk, Tomasz; Blonski, Slawomir; Tenson, Tanel; Korczyk, Piotr M; Kogermann, Karin, 2025, "CFM images for the Living Probiotics-Loaded Wound Matrices", https://doi.org/10.23673/RE-541, DATADOI, V1
Raw research data (confocal microscopy images) related with the research publication in Material Today Bio: Living Probiotics-Loaded Wound Matrices Prepared by Microchip Electrospinning (Gerulis et al.), https://doi.org/10.1016/j.mtbio.2025.102403
ZIP Archive - 103.5 MB - MD5: 4c0d895a5047840746605098bf625095
Raw data- controls, CFM images (viability)
HTML - 10.3 KB - MD5: 972d3cb8d887643c719186b26d03b9eb
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...
ZIP Archive - 794.3 MB - MD5: 325989e75d0543d3424ca87849ed720c
Raw data, CFM images (diffusion, viability)
Adobe PDF - 163.9 KB - MD5: 87e1e62eab720595823c63fcc944cda7
Readme
Sep 23, 2025 - Peremeditsiini ja rahvatervishoiu andmed
Mägi, Liisi; Põld, Mariliis, 2025, "Dataset of Estonian Nurses’ and Health Sciences Master’s Students’ Self-Perceived Patient Safety Competencies: H-PEPSS Questionnaire", https://doi.org/10.23673/RE-539, DATADOI, V1
The dataset contains self-perceived patient safety competencies of Estonian nurses and health sciences Master’s students, measured with the H‑PEPSS (Health Professional Education in Patient Safety Survey) questionnaire. The sample included all nurses and midwives working in Estonia, as well as Master’s students in health sciences (nursing science)...
MS Excel Spreadsheet - 51.7 KB - MD5: fe404fafadb0d5ef98c63150339a5303
Andmekogu H-PEPSS ja taustaandmed
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