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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Lithuanian association norms

Research datakeyboard_double_arrow_right Dataset 26 Nov 2019 Lithuanian Publisher:Zenodo
Authors: Vilkaitė-Lozdienė, Laura;

doi: 10.5281/zenodo.3451880 , 10.5281/zenodo.3451879

Lithuanian association norms

Abstract

This is a first version of Lithuanian database of association norms. It includes 277 cue word forms and a total of 15,612 association pairs. Two formats are available: - SQL format for querying the database - a summary spreadsheet with all the responses given to the specific cues by only those participants whose L1 is Lithuanian. A detailed description of the database is provided in this paper: https://taikomojikalbotyra.lt/ojs/index.php/taikomoji-kalbotyra/article/view/199

This project has received funding from European Social Fund (project No 09.3.3-LMT-K-712-02-0056) under grant agreement with the Research Council of Lithuania (LMTLT)

Related Organizations
Keywords

association database, word association norms, lexical associations

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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