Metrics
12,019 Downloads
Contact Share
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

21 to 30 of 120 Results
Design Requirements Dataset for a Social Robot in Children's Social Skills Training
Jan 14, 2025 - Tehnoloogiainstituudi andmed
Piirisild, Anu; Roštšinskaja, Alina; Kruusamäe, Karl; Zinatullin, Leonid; Eist, Rasmus; Kolk, Anneli; Kaasik, Friedrich; Aabloo, Alvo, 2025, "Design Requirements Dataset for a Social Robot in Children's Social Skills Training", https://doi.org/10.23673/RE-500, DATADOI, V1
This dataset contains the requirements for the SemuBot. SemuBot is an open-source Social Assistive Robots (SAR) platform specifically designed for robot-mediated training sessions for children with communication and speech disorders.
Andmed artiklile "Adult L1 users' attitudes towards their proficiency in written Estonian as evidence of deep-rooted language ideologies"
Jan 9, 2025 - Eesti ja üldkeeleteaduse andmed
Algvere, Kristel, 2025, "Andmed artiklile "Adult L1 users' attitudes towards their proficiency in written Estonian as evidence of deep-rooted language ideologies"", https://doi.org/10.23673/RE-498, DATADOI, V1
See andmekogu sisaldab 2022. aasta detsembris läbi viidud küsitluse vastuseid, mida on analüüsitud artiklis "Adult L1 users' attitudes towards their proficiency in written Estonian as evidence of deep-rooted language ideologies". Küsitlus viidi läbi UT LimeSurvey keskkonnas. Andmekogus on valikvastustega küsimuste vastused, vabatekstilisi vastuseid...
Survey on Public Perceptions of Big Tech Companies in EuropeEmbargoed
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...
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.
Hole punch clouds near Moscow Domodedovo airport
Oct 31, 2024 - Anthropogenic glaciation of supercooled liquid water clouds
Keernik, Hannes; Toll, Velle, 2024, "Hole punch clouds near Moscow Domodedovo airport", https://doi.org/10.23673/RE-487, DATADOI, V1
We used Terra MODIS satellite data to study hole punch clouds near Moscow Domodedovo airport (55.408611 N 37.906111 E).
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...
Meteorological conditions characteristic of anthropogenic glaciation of supercooled liquid-water clouds and of anthropogenic CCN perturbations on clouds
Oct 31, 2024 - Anthropogenic glaciation of supercooled liquid water clouds
Keernik, Hannes; Rahu, Jorma; Toll, Velle, 2024, "Meteorological conditions characteristic of anthropogenic glaciation of supercooled liquid-water clouds and of anthropogenic CCN perturbations on clouds", https://doi.org/10.23673/RE-486, DATADOI, V1
We used ERA5 atmospheric reanalysis data to characterise the meteorological conditions characteristic of anthropogenic glaciation of supercooled liquid-water clouds and of cloud perturbations induced by anthropogenic cloud condensation nuclei.
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...
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...
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.