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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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2,311 to 2,320 of 3,602 Results
Anthropogenic aerosol impacts on clouds from SEVIRI satellite data
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...
area_vertices.zip
May 17, 2021 - Anthropogenic aerosol impacts on clouds from SEVIRI satellite data
ZIP Archive - 64.5 KB - MD5: f38c05734ab7ef366cfb0f8b36cc19bc
Area vertice coordinates for each case and pollution track.
migratsioonieelne_statistika.html
May 17, 2021 - Anthropogenic aerosol impacts on clouds from SEVIRI satellite data
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...
README.txt
May 17, 2021 - Anthropogenic aerosol impacts on clouds from SEVIRI satellite data
Plain Text - 3.7 KB - MD5: e7eda86b369f3d71b186d3c807d60f9f
Readme file with data descriptions.
SEVIRI_filenames.txt
May 17, 2021 - Anthropogenic aerosol impacts on clouds from SEVIRI satellite data
Plain Text - 1.6 KB - MD5: a94ecc535df783030399c339702f4ae3
Used SEVIRI filenames with timestamps in the names.
Subjectively different emotional schematic faces not automatically discriminated from the brain’s bioelectrical responses
May 10, 2021 - Psühholoogia andmed
Kask, Annika; Põldver, Nele; Ausmees, Liisi; Kreegipuu, Kairi, 2021, "Subjectively different emotional schematic faces not automatically discriminated from the brain’s bioelectrical responses", https://doi.org/10.23673/RE-282, DATADOI, V1
The present study investigates how the brain automatically discriminates emotional schematic faces, as indicated by the mismatch responses, and how reliable these brain responses are. Thirty-three healthy volunteers participated in the vMMN EEG experiment with four experimental sets differing from each other by the type of standard (object with scr...
EEG_data_angry_happy_neutral.xlsx
May 10, 2021 - Subjectively different emotional schematic faces not automatically discriminated from the brain’s bioelectrical responses
MS Excel Spreadsheet - 277.8 KB - MD5: fcae90ac6341ff099323f2a3fd80a394
EEG mean amplitudes in ~20ms intervals for angry, happy and neutral deviants, standards and vMMN amplitudes
migratsioonieelne_statistika.html
May 10, 2021 - Subjectively different emotional schematic faces not automatically discriminated from the brain’s bioelectrical responses
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...
subjective_evaluations.xlsx
May 10, 2021 - Subjectively different emotional schematic faces not automatically discriminated from the brain’s bioelectrical responses
MS Excel Spreadsheet - 15.6 KB - MD5: e79a13d32d42ec7842cd524d60877e2b
Subjective evaluations to angry, happy and neutral deviant and two standard stimuli
List of publications for systematic literature review
May 5, 2021 - Ühiskonnateaduste andmed
Pekarev, Janar, 2021, "List of publications for systematic literature review", https://doi.org/10.23673/RE-281, DATADOI, V1
The Weaponization of artificial intelligence (AI) is upending traditional warfare as the development of autonomous weapons systems (AWS) increases in pace and sophistication. As a result, the concept of the weaponized AI, where a weapon system that, once activated, can select and engage targets without human intervention, creates serious complicati...
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