Cognition

The .CSV file contains the behavioural raw data of all participants' performance and ratings Each subject is also linked to 4 matlab files containing electrodermal data: - sX.mat file corresponds to the skin conductance (SC) raw data with the events' timing (triggers) - sX_CDA.mat file corresponds to the Continuous Decomposition Analysis (CDA) performed with ledalab and allowing to dissociate SC data into continuous signals of phasic and tonic activity - sX_era.mat file reports the results of the CDA - sX_era_z.mat file reports the results of the CDA on z-scored data check http://www.ledalab.de/ to get a precise description of those different variables

Data included: Exp_[1-3]_data.csv: Table with all experiments’ raw data (see description below) in long format. W_dictionary.xlsx: Dictionary with 800 words (in Hebrew), the wordpool for all three experiments and each word’s numeric code - the corresponding index in semantic distance matrix. W_Semantic_Distances.csv: A 800*800 matrix which holds the semantic distances between each pair of words in the dictionary. Semantic distances between each word pair were derived from the semantic network constructed by Kennet et al., (2011). In this model, semantic distance is measured by pathway length (=lowest number of paths needed to cross between two nodes), where a distance of 1 signifies high semantic similarity and increasing pathway length signifies lower semantic similarity.

Data and Analysis Scripts for "Hierarchical structure priming from mathematics to two- and three-site relative clause attachment" (C. Scheepers, A. Galkina, Y. Shtyrov, and A. Myachykov, 2019) Data for Experiment 1 are in "2site_E1.csv" and the corresponding R script is "lmescript_E1.R" Data for Experiment 2 are in "3site_E2.csv" and the corresponding R script is "lmescript_E2.R" Organisation of data files: column 1: participant_ID column 2: participant gender column 3: presentation list (Latin square) column 4: item-ID column 5: numerical prime-condition code column 6: prime type (string) column 7: numerical target response code column 8-9 (Exp 1) respectively 8-10 (Exp 2): N1/N2/N3 target attachment (yes = 1 / no = 0) final column: error in prime or controversial target response (yes = 1 / no = 0)

This file contains data from children tested in Iran, China, and the U.S. on their judgments about the reality status of scientific and religious unobservable entities as well as their justifications for their reality judgments.

Datasets (raw - with ID information removed - and processed) for the three studies reported in Harris, Ma, Oh, and Jenkins. Including the dataset for the 'surgery study' not reported but mentioned in Footnote 2 of the text.

This dataset contains the raw data used to produce all the figures in the present draft of the manuscript "Color Associations in Abstract Semantic Domains," currently in submission to Cognition.

Raw data for habiutation and test trials by subject (sex and age)

Data for "No luck for moral luck"

Data for Smith, Applin, Blake, & Kibbe, Children’s understanding of economic demand: A dissociation between inference and choice.

Raw data for Tardiff, N., Bascandziev, I., Carey, S., & Zaitchik, D. (2019). The learning mechanisms underlying knowledge enrichment and conceptual construction: Evidence from the child’s acquisition of vitalist biology. Cognitive Psychology. Data set includes multiple measures of domain-general cognitive mechanisms and measures of vitalist biology, in 5-6 yr old children.