Metrics
13 Downloads
Contact Share

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.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

81 to 90 of 446 Results
Dataset of archaeobotanical data from Estonian archaeological sites
Dec 17, 2024 - Ajaloo ja arheoloogia andmed
Johanson, Kristiina; Unt, Agne; Hiie, Sirje, 2024, "Dataset of archaeobotanical data from Estonian archaeological sites", https://doi.org/10.23673/RE-496, DATADOI, V1
This dataset contains archaeobotanical data from Estonian archaeological sites. The dataset consists of one table. It is being made public to act as supplementary data for the publication Johanson, K., Unt, A. & Hiie, S. In prep. Archaeobotany in Estonia – history, state of the art and future perspectives.
Research data for Early trigeminal and sensory impairment and lysosomal dysfunction in accurate models of Wolfram syndrome
Dec 13, 2024 - BSMI andmed
Hickey, Miriam, 2024, "Research data for Early trigeminal and sensory impairment and lysosomal dysfunction in accurate models of Wolfram syndrome", https://doi.org/10.23673/RE-495, DATADOI, V1
We present here data from our paper Early trigeminal and sensory impairment and lysosomal dysfunction in accurate models of Wolfram syndrome. We include data underlying all figures and tables. Research data for publicly available data can be found as cited in README file.
Survey on Public Perceptions of Big Tech Companies in Europe
Nov 28, 2024 - Poliitikauuringute andmed
Ehin, Piret; Mölder, Martin; Talving, Liisa; Kondratyk, Yurii, 2024, "Survey on Public Perceptions of Big Tech Companies in Europe", https://doi.org/10.23673/RE-494, DATADOI, V1
This data set contains a cross-country survey in 15 European countries on public perceptions of big-tech companies. The purpose of the dataset is to map out European citizens' perceptions of big-tech companies together with additional information that would allow to analyse how such perceptions are related to political and socio-demographic charact...
Experimental unified pH scale in 1,2-dichloroethane
Nov 11, 2024 - Keemia instituudi andmed
Samin, John Paulo; Heering, Agnes; Saame, Jaan; Kütt, Agnes; Leito, Ivo, 2024, "Experimental unified pH scale in 1,2-dichloroethane", https://doi.org/10.23673/RE-493, DATADOI, V1
Experimental potentiometric unified pH (pHabs) scale is presented in 1,2 dichloroethane (1,2-DCE). The scale was compiled using differential potentiometric measurements, carried out by pair-wise comparisons between solutions. Aqueous standard buffer solutions were used as anchor points, so that the obtained pH values are linked to (i.e. traceable t...
Exploring Pitch and Length Perception: An EEG Study on Quantity Discrimination in preschoolers with Developmental Language Disorder
Nov 8, 2024 - Psühholoogia andmed
Themas, Liis; Lippus, Pärtel; Padrik, Maarika; Kreegipuu, Kairi, 2024, "Exploring Pitch and Length Perception: An EEG Study on Quantity Discrimination in preschoolers with Developmental Language Disorder", https://doi.org/10.23673/RE-492, DATADOI, V1
Here, we present the raw EEG data from our investigation into the neurophysiological differences in language processing between children with developmental language disorder (DLD) and their typically developing peers. Building on previous findings of prosody perception difficulties and their impact on language development, we aim to describe the Mi...
Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
Nov 4, 2024 - Ajaloo ja arheoloogia andmed
Rannamäe, Eve; Varul, Liivi; Tomek, Teresa, 2024, "Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery", https://doi.org/10.23673/RE-491, DATADOI, V1
This dataset contains data collected during the analyses of archaeological animal remains from Jõelähtme stone cist graves, Estonia (AI 5306).
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.
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...
Ground-based precipitation radar data to study glaciation of supercooled liquid-water clouds downwind of anthropogenic air pollution hot spots
Oct 31, 2024 - Anthropogenic glaciation of supercooled liquid water clouds
Rahu, Jorma; Voormansik, Tanel; Michelson, Daniel; Hung, Emma; Donaldson, Norman; Toll, Velle, 2024, "Ground-based precipitation radar data to study glaciation of supercooled liquid-water clouds downwind of anthropogenic air pollution hot spots", https://doi.org/10.23673/RE-490, DATADOI, V1
Ground-based precipitation radar datasets (two sites in Canada) were used to study the glaciation of supercooled liquid-water clouds downwind anthropogenic air pollution sources. Weather radar data is from two radar sites: 1) Bethune, Saskatchewan, Canada; (lat/lon: 50.57123, -105.18285); dual-polarisation data since 09.08.2019 2) Landrienne, Québe...
MODIS and HYSPLIT data to study anthropogenic glaciation of supercooled liquid-water clouds
Oct 31, 2024 - Anthropogenic glaciation of supercooled liquid water clouds
Keernik, Hannes; Trofimov, Heido; Manshausen, Peter; Christensen, Matthew; Rahu, Jorma; Toll, Velle, 2024, "MODIS and HYSPLIT data to study anthropogenic glaciation of supercooled liquid-water clouds", https://doi.org/10.23673/RE-485, DATADOI, V1
We used MODIS (https://modis-images.gsfc.nasa.gov/_docs/C6MOD06OPUserGuide.pdf) and HYSPLIT (https://www.ready.noaa.gov/HYSPLIT.php) data to study the anthropogenic glaciation of supercooled liquid-water clouds. We used MODIS data to identify glaciation events and compare the properties of glaciation-affected areas to the nearby unaffected areas. W...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.