DellaRossa-2010-417

concepticondata/conceptlists.tsv

@@ -463,3 +463,4 @@ Rogic-2013-346	Rogić, Maja and Jerončić, Ana and Bošnjak, Marija and Sedlar,
 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.		
+DellaRossa-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	DellaRossa2010		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.	1042-1048