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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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2,081 to 2,090 of 3,476 Results
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".
Pollution track days
Dec 5, 2021 - Füüsika andmed
Trofimov, Heido; Toll, Velle, 2021, "Pollution track days", https://doi.org/10.23673/RE-299, DATADOI, V1
Dates of polluted cloud tracks identified in MODIS satellite data.
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...
README.txt
Dec 5, 2021 - Pollution track days
Plain Text - 1.6 KB - MD5: 552287e90b464561c919c415a316f263
Eesti Infoturbestandardi (E-ITS) põhine turbe hindamise instrument / Estonian Information security Standard (E-ITS) based security level evaluation instrument
Nov 24, 2021 - Arvutiteaduse andmed
Seeba, Mari, 2021, "Eesti Infoturbestandardi (E-ITS) põhine turbe hindamise instrument / Estonian Information security Standard (E-ITS) based security level evaluation instrument", https://doi.org/10.23673/RE-298, DATADOI, V1
Alusinstrument uuringule / tool for research The tool is designed to evaluate the information security level of organizations or business processes. The tool is based on the maturity model framework using the Estonian Information Security Standard (E-ITS) content. See https://eits.ria.ee/. Instrument on mõeldud organisatsioonide või äriprotsesside...
E-ITSi+küpsusmudel-1.pdf
Nov 24, 2021 - Eesti Infoturbestandardi (E-ITS) põhine turbe hindamise instrument / Estonian Information security Standard (E-ITS) based security level evaluation instrument
Adobe PDF - 136.3 KB - MD5: 9807697af9f343c57e4c9d1799e8f962
Esmane pilootversioon
E-ITSi+küpsusmudel-2.pdf
Nov 24, 2021 - Eesti Infoturbestandardi (E-ITS) põhine turbe hindamise instrument / Estonian Information security Standard (E-ITS) based security level evaluation instrument
Adobe PDF - 135.9 KB - MD5: 840586dbf4e1696309774d6d802e02c9
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