https://phaidra.vetmeduni.ac.at/o:4573 Dataset for the publication "Inference in wolves and dogs: the ‘cups task’, revisited" Rivas-Blanco, Dániel Dániel Rivas-Blanco 0000-0002-3759-7192 other FWF Austrian Science Fund Proximate mechanisms underlying problem solving abilities HASH(0x6258f7f263b8) eng Dataset for the publication: Dániel Rivas-Blanco, Sophia D. Krause, Sarah Marshall-Pescini, Friederike Range. Inference in wolves and dogs: the ‘cups task’, revisited. Animal Behaviour 227 (2025). https://doi.org/10.1016/j.anbehav.2025.123268 Each row of the dataset represents a trial. The columns, from left to right, are as follows: date (dd/mm/yyyy format), subject (name of the subject), session (number of session for a given subject), session_part (part of the session, if it was divided in several days; the default value is 1, which applies both to the first part of a session and for the sessions that were not divided), species ("Wolf" or "Dog"), population ("pack" or "pet"; "pet" only applies to dogs), outcome_trial (0: incorrect, 1: correct), side_correct (side with the correct cup; "L": left, "R": right), first_side (first side shaken —only applicable for full information condition— "L": left, "R": right), side_chosen ("L": left, "R": right), condition ("full_info": full information, "affirm_conseq": affirming the consequent, "deny_conseq": denying the consequent, "no_info": no information), sex ("m" or "f"), trial (number of trial within a given session), age_days (days that had passed between the animal's birth and the session), days_aftr_food (days that had passed after the animal was last fed; always takes a value of 0 for dogs, since they are fed every day). Canis familiaris Canis lupus cups task dog inference wolf http://creativecommons.org/licenses/by/4.0/ https://phaidra.vetmeduni.ac.at/api/object/o:4573/download 10.34876/vyy5-nh15 https://phaidra.vetmeduni.ac.at/o:606 text/csv 82.11 kB 2025