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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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421 to 430 of 570 Results
Dec 20, 2020 - RITA Kaugseire
Vahtmäe, Ele; Kutser, Tiit, 2020, "Hüperspektraalsed kaugseire pildid", https://doi.org/10.23673/RE-264, DATADOI, V1
No description provided.
Dec 20, 2020 - RITA Kaugseire
Vahtmäe, Ele; Kutser, Tiit, 2020, "Hüperspektraalsed lennukilt kogutud kaugseire pildid mere RITA projektile", https://doi.org/10.23673/RE-265, DATADOI, V1
No description provided.
Dec 20, 2020 - RITA Kaugseire
Maljutenko, Ilja; Raudsepp, Urmas; Uiboupin, Rivo, 2020, "Meretaseme väljad: satelliitaltimeetria ja mudelprognoos", https://doi.org/10.23673/RE-266, DATADOI, V1
No description provided.
Dec 17, 2020 - RITA Kaugseire
Oja, Tõnu; Sagris, Valentina; Muru, Merle; Sepp, Edgar; Lang, Mait; Post, Piia; Rahu, Jorma; Toll, Velle; Voormansik, Tanel, 2020, "Metsa- ja maastikutulekahjude ennetamine ja likvideerimine", https://doi.org/10.23673/RE-263, DATADOI, V1
No description provided.
Dec 14, 2020 - RITA Kaugseire
Lang, Mait; Jakobson, Liisi, 2020, "Põlevmaterjali kaardid maastikupõlengute modelleerimiseks", https://doi.org/10.23673/RE-262, DATADOI, V1
The dataset consists of landcover map and airborne lidar data based predictions of forest canopy structure. The dataset is ready to be used for simulation experiments with Fire Behavior Prediction (FBP) System.
Dec 4, 2020 - RITA Kaugseire
Sagris, Valentina; Oja, Tõnu; Muru, Merle; Sepp, Edgar, 2020, "Fire Weather Index (FWI) for Estonia for growing seasons 2018 and 2019", https://doi.org/10.23673/RE-256, DATADOI, V1
The Canadian Forest Fire Weather Index (FWI) System (Van Wagner 1987) is a weather-based means of calculating potential fire conditions. Canadian research on forest fire danger rating was started in the 1920s, but in recent decades, FWI is widely used in Europe. The FWI System depends solely on weather measurements taken each day at noon local time...
Dec 4, 2020 - RITA Kaugseire
Voormansik, Kaupo; Järveoja, Mihkel; Sünter, Indrek; Tamm, Tanel; Lang, Mait; Sagris, Valentina; Domnich, Marharyta, 2020, "Feature database of Estonian agricultural parcels for crop classification (years 2018-2019).", https://doi.org/10.23673/RE-261, DATADOI, V1
Feature database of Estonian agricultural parcels for crop classification (years 2018-2019). Sentinel-1 and -2 and additional geospatial feature set time series about Estonian agricultural parcels 2018-2019. The time series was used for neural networks model for crop classification purposed, but could in principle be used also with other models and...
Dec 3, 2020 - RITA Kaugseire
Rahu, Jorma; Voormansik, Tanel; Toll, Velle; Post, Piia, 2020, "Integrated high-resolution dataset of Estonian precipitation 2018-2019", https://doi.org/10.23673/RE-260, DATADOI, V1
No description provided.
Dec 2, 2020 - RITA Kaugseire
Post, Piia; Toll, Velle; Rahu, Jorma; Voormansik, Tanel, 2020, "Täppissademed", https://doi.org/10.23673/RE-257, DATADOI, V1
RITA1/02-52 meteoroloogia alamteema raames töötati välja Eesti oludesse sobiv täppissademete kaardistamise metoodika. Peamiseks andmeallikaks olid Eesti Keskkonnaagentuuri (KAURi) sademejaamade ning Sürgavere radari andmed aastate 2013-2019 (va 2017) kohta. Analüüsiti metoodikat, andmete ning tulemi täpsust ning edasise arenduse võimalusi.
Dec 2, 2020 - RITA Kaugseire
Uiboupin, Rivo; Rikka, Sander; Sipelgas, Liis; Arikas, Age; Liibusk, Aive; Kall, Tarmo; Alikas, Krista; Ansper-Toomsalu, Ave; Tampuu, Tauri; Kull, Ain; Hallik, Lea; Lang, Mait; Raudsepp, Urmas; Maljutenko, Ilja; Lagemaa, Priidik; Kõuts, Tarmo; Vahter, Kaimo, 2020, "Veetaseme seire, üleujutuste kaardistamine ja märgalae niiskusrežiim", https://doi.org/10.23673/RE-258, DATADOI, V1
Projekti RITA1 KAUGSEIRE käigus töötati välja kaugseire andmete töötlemise metoodid/prototüübid, mis võimaldavad parandada mitmeid järgmisi seirerakendusi ja riiklike teenuseid: (1) üleujutuste seire satelliitpiltidel sisemaal ja rannikul; (2) veetaseme seire kasutades altimeetria andmeid; (3) veetaseme prognoosi täpsustamine satelliitaltimeetria a...
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