{"data":{"id":"10.6084/m9.figshare.3204487.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3204487.v1","prefix":"10.6084","suffix":"m9.figshare.3204487.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Kondo, Hirohito M.","nameType":"Personal","givenName":"Hirohito M.","familyName":"Kondo","affiliation":[],"nameIdentifiers":[]},{"name":"Farkas, Dávid","nameType":"Personal","givenName":"Dávid","familyName":"Farkas","affiliation":[],"nameIdentifiers":[]},{"name":"Denham, Susan L.","nameType":"Personal","givenName":"Susan L.","familyName":"Denham","affiliation":[],"nameIdentifiers":[]},{"name":"Bendixen, Alexandra","nameType":"Personal","givenName":"Alexandra","familyName":"Bendixen","affiliation":[],"nameIdentifiers":[]},{"name":"Asai, Tomohisa","nameType":"Personal","givenName":"Tomohisa","familyName":"Asai","affiliation":[],"nameIdentifiers":[]},{"name":"Winkler, István","nameType":"Personal","givenName":"István","familyName":"Winkler","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Auditory multistability and neurotransmitter concentrations in the human brain"}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"170101 Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"170299 Cognitive Science not elsewhere classified","subjectScheme":"FOR"},{"subject":"Neuroscience and Physiological Psychology"},{"subject":"170109 Personality, Abilities and Assessment","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2016-05-12","dateType":"Created"},{"date":"2016-05-18","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.3204487","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["6124572 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"_auditoryStreaming The archive contains all blocks for all participants of the auditory streaming task in *.mat files. Each file contains a structure called behavdat, which contains the following fields: 1) block = block number, 2) percept = button press data sampled in 10Hz, 3) iCond = condition number, 4) catch_emphasize = correct response for the catch trials, 5) catch_percept = button presses for the catch trials _verbalTransformations Raw data of the verbal transformations task for all participants. Each row marks a response. The first column codes the participant number, whereas the second codes the block number (1 to 5). The third column represents the response of the participant (1 = banana, 2 = nappa, 3 = nonsense, 4 = other, 5 = none – Please note, that none was coded when there was no button press from the participants), and the fourth represents the duration of that response in milliseconds. Finally, the last column represents if that response was the initial response (1) or not (0) or the last response (9). _calculatedVariables Final values of the variables and participants included in the analysis (rows = participants, columns = variables, variable names in top row of the file in the order of 1) auditory streaming, 2) verbal transformations, 3) neurotransmitter data, 4) scales). \u003cbr\u003e \u003cbr\u003e _scales Raw data of the scales for all participants. Each row represents a participant, whereas each column represents an item. At the end of the file the reversed items are included for the BFI and UPPS scales.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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