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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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1,811 to 1,820 of 3,030 Results
migratsioonieelne_statistika.html
Dec 8, 2021 - The areas of concern of systematic literature review
HTML - 907 B - MD5: c07b6daef3dbee864bf87e6aa836cde2
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...
The_areas_of_concern_of_systematic_literature_review.xlsx
Dec 8, 2021 - The areas of concern of systematic literature review
MS Excel Spreadsheet - 14.8 KB - MD5: e0479a9b04d63f1bf99d79e83d4ffe14
Anonymised_data_V1.zip
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
ZIP Archive - 108.4 MB - MD5: c666a71f98376ba80b3a3112ecdd47ad
Contains the actual data in CSV and the code to anonymise the sesitive data.
migratsioonieelne_statistika.html
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
HTML - 1.4 KB - MD5: 72348ee90b7662e869e642f00d89cc96
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...
README_DATA.txt
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
Plain Text - 2.7 KB - MD5: f39cf0e1384e3bd39d931aefce86c262
Readme for the actual data present in "Anonymize_data_V2" zip file.
README_SOURCE_CODE.txt
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
Plain Text - 2.2 KB - MD5: 85f337cb091ad054cc2f767adfc4cba3
Readme for the source code present in "Source_code_V1" zip file.
README.txt
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
Plain Text - 1.4 KB - MD5: b6baf2041c379033d646e444ff8982d3
Information about this data, project, and contributors.
Source_code_V1.zip
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
ZIP Archive - 10.3 KB - MD5: 271fcf408d2a73b593e783ee2dbf93de
Contains the source code used in the paper "A Combined Metrics Approach to Cloud Service Reliability using Artificial Intelligence".
data.zip
Dec 5, 2021 - Pollution track days
ZIP Archive - 37.3 KB - MD5: 3d125a882a902693c38f07e9d6b68fea
migratsioonieelne_statistika.html
Dec 5, 2021 - Pollution track days
HTML - 1.5 KB - MD5: 55e0471f5ee3c12f2f82b393b5edb898
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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