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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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2,181 to 2,190 of 3,476 Results
HTML - 1.6 KB - MD5: 5499dacff41b21a1dfca801049f86a64
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...
Jun 10, 2021 - Sporditeaduste ja füsioteraapia andmed
Argus, Martin; Pääsuke, Mati, 2021, "Effects of COVID-19 lockdown on musculoskeletal pain, physical activity and work environment in Estonian office workers transitioning to working from home.", https://doi.org/10.23673/RE-286, DATADOI, V1
Background Due to the COVID-19 pandemic, emergency situation for social distancing was implemented in many countries, including Estonia. For most office workers, the lockdown caused a sudden shift from working at the office to working from home. The lockdown offered an opportunity to investigate how working from home affects musculoskeletal pain (M...
MS Excel Spreadsheet - 117.1 KB - MD5: 764b727071d2ab7d62d72e16dbaad528
Dataset for manuscript Background Due to the COVID-19 pandemic, emergency situation for social distancing was implemented in many countries, including Estonia. For most office workers, the lockdown caused a sudden shift from working at the office to working from home. The lockdown offered an opportunity to investigate how working from home affects...
HTML - 1.7 KB - MD5: f500fd5c7c067cbd5e349496bca1f2fa
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 - 492 B - MD5: 4f29da9159530befe279cc647ea27c55
Metadata for the spreadsheet "EffectsofCOVID19MSP_PA_ergonomics_2020_dataset
May 17, 2021 - Füüsika andmed
Rahu, Jorma; Toll, Velle, 2021, "Anthropogenic aerosol impacts on clouds from SEVIRI satellite data", https://doi.org/10.23673/RE-283, DATADOI, V1
Anthropogenic aerosols offset an unknown fraction of greenhouse gas warming. We use geostationary satellite data to analyse continental polluted cloud tracks originating from isolated heavy industrial pollution sources in the European part of Russia. We study the temporal evolution of the cloud water response to aerosols. This item includes the dat...
ZIP Archive - 64.5 KB - MD5: f38c05734ab7ef366cfb0f8b36cc19bc
Area vertice coordinates for each case and pollution track.
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...
Plain Text - 3.7 KB - MD5: e7eda86b369f3d71b186d3c807d60f9f
Readme file with data descriptions.
Plain Text - 1.6 KB - MD5: a94ecc535df783030399c339702f4ae3
Used SEVIRI filenames with timestamps in the names.
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