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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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751 to 760 of 3,600 Results
AI_5306_Jõelähtme_summary.xlsx
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
MS Excel Spreadsheet - 16.3 KB - MD5: 8c71fde2653103a73ea46b3692007c4e
Summary
migratsioonieelne_statistika.html
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
HTML - 10.7 KB - MD5: 29504ad298e687bcb0955ba8a1891994
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
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
Plain Text - 6.8 KB - MD5: 97c43a5682d0eae31d8cce45fec86777
Readme-file
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
Oct 31, 2024 - Anthropogenic glaciation of supercooled liquid water clouds
Keernik, Hannes; Toll, Velle, 2024, "Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds", https://doi.org/10.23673/RE-488, DATADOI, V1
The given python code is used to analyse anthropogenic glaciation of supercooled liquid-water clouds downwind of strong industrial point sources of air pollution using Terra MODIS satellite data.
input.zip
Oct 31, 2024 - Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
ZIP Archive - 554.1 MB - MD5: b1c516d8ac595bcbfeabbdeb1d4a669c
migratsioonieelne_statistika.html
Oct 31, 2024 - Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
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...
output.zip
Oct 31, 2024 - Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
ZIP Archive - 4.1 KB - MD5: 3e6d8cb7d1a7b6238ecbfa1a2ef97c08
requirements.txt
Oct 31, 2024 - Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
Plain Text - 337 B - MD5: 003feba5ed1828c989d0154625855fa7
scripts.zip
Oct 31, 2024 - Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
ZIP Archive - 8.7 KB - MD5: e11737f80c0b78706d54a92cdcb855d8
GOES ABI satellite data to study anthropogenic glaciation of supercooled liquid-water clouds downwind of industrial air pollution hot spots
Oct 31, 2024 - Anthropogenic glaciation of supercooled liquid water clouds
Rahu, Jorma; Post, Piia; Toll, Velle, 2024, "GOES ABI satellite data to study anthropogenic glaciation of supercooled liquid-water clouds downwind of industrial air pollution hot spots", https://doi.org/10.23673/RE-489, DATADOI, V1
The dataset contains geographical locations and datetimes of occurrence for the events of anthropogenic glaciation of supercooled liquid-water clouds identified in GOES ABI satellite data. Moreover, Python code used for processing GOES ABI satellite data and creating animations from GOES ABI satellite data for glaciation events are given together w...
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