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2 changes: 1 addition & 1 deletion concepticondata/conceptlists.tsv
Original file line number Diff line number Diff line change
Expand Up @@ -462,7 +462,7 @@ Dimitropoulou-2009-260 Dimitropoulou, María and Duñabeitia, Jon Andoni and Bli
Rogic-2013-346 Rogić, Maja and Jerončić, Ana and Bošnjak, Marija and Sedlar, Ana and Hren, Darko and Deletis, Vedran 2013 346 naming test, basic English Croatian https://static-content.springer.com/esm/art%3A10.3758%2Fs13428-012-0308-8/MediaObjects/13428_2012_308_MOESM1_ESM.docx Rogic2013 This is a dataset for 346 visually presented objects in Croatian. It features some of the original [Snodgrass and Vanderwart (1980)](:bib:Snodgrass1980) pictures as well as Roach et al.'s PNT (1996) and Cycowicz et al. (1997) ones. They are standardized according to seven variables: naming latency, name agreement, familiarity, visual complexity, word length, number of syllables, and word frequency. On top of that, an individual item analyses were conducted to account for item difficulty (percentage of the sample who answered correctly) and discrimination (corrected item - total correlation).
Liu-2011-435 Liu, Youyi and Meiling, Hao and Li, Ping and Shu, Hua 2011 435 naming test, basic English Chinese https://doi.org/10.1371/journal.pone.0016505.s001 Liu2011 This is a dataset with timed norms for 435 object pictures in Mandarin Chinese. These data include naming latency, name agreement, concept agreement, word length, and age of acquisition (AoA) based on children's naming and adult ratings, and several other adult ratings of concept familiarity, subjective word frequency, image agreement, image variability, and visual complexity. The picture stimuli were taken from multiple sources marked by numbers from 1 to 5: Cycowicz et al. (1997) - 1, Bonin et al. (2003) - 2, the PNT (Roach et al., 1996) - 3, Zhang & Yang (2003) -4, and other -5.
Ramanujan-2019-158 Ramanujan, Keerthi and Weekes, Brendan S. 2019 158 naming test, basic English Hindi https://doi.org/10.1017/S1366728918001177 Ramanujan2019 This is a dataset with Hindi norms for 158 object pictures from [Snodgrass and Vanderwart (1980)](:bib:Snodgrass1980) with stimuli selected from the color version of the dataset by Rossion&Pourtois (2004). From the original 260, those items were excluded that were e.g. culturally unfamiliar or that were uncommon in the Hindi visual context. The remaining data was normed on nameability, naming latency, name agreement, image agreement, familiarity and visual complexity, average latency, age of acquisition, word length in syllables, phonemes and alpha syllables and lastly, word frequency.
Dunabeitia-2022-500 Duñabeitia, Jon Andoni and Baciero, Ana and Antoniou, Kyriakos and Antoniou, Mark and Ataman, Esra and Baus, Cristina and Ben-Shachar, Michal and Çağlar, Ozan Can and Chromý, Jan and Comesaña, Montserrat and Filip, Maroš and Filipović Đurđević, Dušica and Gillon Dowens, Margaret and Hatzidaki, Anna and Januška, Jiří and Jusoh, Zuraini and Kanj, Rama and Kim, Say Young and Kırkıcı, Bilal and Leminen, Alina and Lohndal, Terje and Yap, Ngee Thai and Renvall, Hanna and Rothman, Jason and Royle, Phaedra and Santesteban, Mikel and Sevilla, Yamila and Slioussar, Natalia and Vaughan-Evans, Awel and Wodniecka, Zofia and Wulff, Stefanie and Pliatsikas, Christos 2022 500 naming test, basic English American English, Australian English, Basque, Western Flemish, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh, global https://figshare.com/articles/dataset/Untitled_Item/19328939 Dunabeitia2022 This is a continuation of the [Dunabeitia et al. (2018)](:bib:Dunabeitia2018)dataset, now with 32 languages (American English, Australian English, Basque, Western Flemish, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh) in total and with familiarity ratings for 500 chosen picture stimuli of the original 750. The pictures were standardized for name agreement and visual complexity as well.
Dunabeitia-2022-500 Duñabeitia, Jon Andoni and Baciero, Ana and Antoniou, Kyriakos and Antoniou, Mark and Ataman, Esra and Baus, Cristina and Ben-Shachar, Michal and Çağlar, Ozan Can and Chromý, Jan and Comesaña, Montserrat and Filip, Maroš and Filipović Đurđević, Dušica and Gillon Dowens, Margaret and Hatzidaki, Anna and Januška, Jiří and Jusoh, Zuraini and Kanj, Rama and Kim, Say Young and Kırkıcı, Bilal and Leminen, Alina and Lohndal, Terje and Yap, Ngee Thai and Renvall, Hanna and Rothman, Jason and Royle, Phaedra and Santesteban, Mikel and Sevilla, Yamila and Slioussar, Natalia and Vaughan-Evans, Awel and Wodniecka, Zofia and Wulff, Stefanie and Pliatsikas, Christos 2022 500 naming test, basic English American English, Australian English, Basque, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Belgium Dutch, Netherlands Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh, Cantonese, Galician, Ukrainian global https://figshare.com/articles/dataset/Untitled_Item/19328939 Dunabeitia2022 This is a continuation of the [Dunabeitia et al. (2018)](:bib:Dunabeitia2018)dataset, now with 35 language varieties (v.8) (American English, Australian English, Basque, Belgium Dutch, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Netherlands Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh, Cantonese, Galician and Ukrainian) in total and with familiarity ratings for 500 chosen picture stimuli of the original 750 (currently not available for all languages). Apart from Familiarity, we provide the following variables: Shannon Diversity Scores, Modal Response Percentage, 'I don't know' Response Percentage, Idiosyncratic Response Percentage.
DellaRosa-2010-417 Della Rosa, Pasquale A. and Catricà, Eleonora and Vigliocco, Gabriella and Cappa, Stefano F. 2010 417 ratings English Italian https://doi.org/10.3758/BRM.42.4.1042 DellaRosa2010 This list of 417 Italian nouns was rated concerning mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness. Ratings were given by 250 Italian native speakers.
Ray-1889-78 Ray, Sidney H. 1889 78 English Oceanic languages https://zenodo.org/records/2403292 Ray1889 This list of 78 words was chosen to show the 'variation' in some Oceanic languages compared to Baki. 302-303
Schauenburg-2015-858 Schauenburg, Gesche and Ambrasat, Jens and Schröder, Tobias and Von Scheve, Christian and Conrad, Markus 2015 858 ratings German German https://doi.org/10.3758/s13428-014-0494-7 Schauenburg2015 This list contains ratings of valence, arousal, potency, authority and community for 858 German words. Participants were native German speakers recruited through university mailing lists. 720-735
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