{"data":{"id":"10.17632/c8md2mbcsz.1","type":"dois","attributes":{"doi":"10.17632/c8md2mbcsz.1","prefix":"10.17632","suffix":"c8md2mbcsz.1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Sikos, Les","nameType":"Personal","givenName":"Les","familyName":"Sikos","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Data for: What do you know? ERP evidence for immediate use of common ground during online reference resolution"}],"publisher":"Mendeley","container":{},"publicationYear":2018,"subjects":[{"subject":"Linguistics"},{"subject":"FOS: Languages and literature","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Languages and literature","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Psycholinguistics"},{"subject":"Cognitive Science"},{"subject":"Cognition"},{"subject":"Electroencephalography"}],"contributors":[],"dates":[{"date":"2018-10-30","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1016/j.cognition.2018.10.013","resourceTypeGeneral":"Text","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.17632/c8md2mbcsz","resourceTypeGeneral":"Dataset","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsUri":"info:eu-repo/semantics/openAccess"},{"rights":"Public Domain Dedication","rightsUri":"http://creativecommons.org/publicdomain/zero/1.0"}],"descriptions":[{"description":"Description of data from the article “What do you know? ERP evidence for immediate use of common ground during online reference resolution”, by Sikos, Tomlinson, Heins, and Grodner. Repository: Mendeley Data The zipped folder DATA.zip contains pre-processed behavioral and electrophysiological data for the final 50 participants (see Methods for exclusion and outlier removal criteria). ---------------- Behavioral data ---------------- All behavioral data are gathered into a single tab-delimited document. Variable names are self-explanatory. --------- ERP data --------- A. for_cluster_analyses Five separate tab-delimited files are provided for each participant (e.g., s2_CG-NO.txt). Each file contains data capturing the voltage difference (μV) between two conditions (e.g., CGC minus NoC) during the -200 to 1600 ms epoch for that particular subject (e.g., s2). Rows correspond to time points. Columns correspond to electrode channels: E1 = F10 E2 = AF4 E3 = F2 E4 = FCZ E5 = FP2 E6 = FZ E7 = FC1 E8 = AFZ E9 = F1 E10 = FP1 E11 = AF3 E12 = F3 E13 = F5 E14 = FC5 E15 = FC3 E16 = C1 E17 = F9 E18 = F7 E19 = FT7 E20 = C3 E21 = CP1 E22 = C5 E23 = T9 E24 = T7 E25 = TP7 E26 = CP5 E27 = P5 E28 = P3 E29 = TP9 E30 = P7 E31 = P1 E32 = P9 E33 = PO3 E34 = PZ E35 = O1 E36 = POZ E37 = OZ E38 = PO4 E39 = O2 E40 = P2 E41 = CP2 E42 = P4 E43 = P10 E44 = P8 E45 = P6 E46 = CP6 E47 = TP10 E48 = TP8 E49 = C6 E50 = C4 E51 = C2 E52 = T8 E53 = FC4 E54 = FC2 E55 = T10 E56 = FT8 E57 = FC6 E58 = F8 E59 = F6 E60 = F4 E61 = HEOR E62 = VEOR E63 = VEOL E64 = HEOL CZ = CZ Note: Ocular channels were excluded from cluster analyses. B. for_quartile_analyses Mean voltage (μV) averaged across all non-ocular electrodes in the 600-1200 ms window are gathered by subject x condition x quartile into a single tab-delimited document. Variable names are self-explanatory.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zOnhzaT0iaHR0cDovL3d3dy53My5vcmcvMjAwMS9YTUxTY2hlbWEtaW5zdGFuY2UiIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00L21ldGFkYXRhLnhzZCI+CiAgPGlkZW50aWZpZXIgaWRlbnRpZmllclR5cGU9IkRPSSI+MTAuMTc2MzIvQzhNRDJNQkNTWi4xPC9pZGVudGlmaWVyPgogIDxjcmVhdG9ycz4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWUgbmFtZVR5cGU9IlBlcnNvbmFsIj5TaWtvcywgTGVzPC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5MZXM8L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+U2lrb3M8L2ZhbWlseU5hbWU+CiAgICA8L2NyZWF0b3I+CiAgPC9jcmVhdG9ycz4KICA8dGl0bGVzPgogICAgPHRpdGxlPkRhdGEgZm9yOiBXaGF0IGRvIHlvdSBrbm93PyBFUlAgZXZpZGVuY2UgZm9yIGltbWVkaWF0ZSB1c2Ugb2YgY29tbW9uIGdyb3VuZCBkdXJpbmcgb25saW5lIHJlZmVyZW5jZSByZXNvbHV0aW9uPC90aXRsZT4KICA8L3RpdGxlcz4KICA8cHVibGlzaGVyPk1lbmRlbGV5PC9wdWJsaXNoZXI+CiAgPHB1YmxpY2F0aW9uWWVhcj4yMDE4PC9wdWJsaWNhdGlvblllYXI+CiAgPHJlc291cmNlVHlwZSByZXNvdXJjZVR5cGVHZW5lcmFsPSJEYXRhc2V0Ij5EYXRhc2V0PC9yZXNvdXJjZVR5cGU+CiAgPHN1YmplY3RzPgogICAgPHN1YmplY3Q+TGluZ3Vpc3RpY3M8L3N1YmplY3Q+CiAgICA8c3ViamVjdD5Qc3ljaG9saW5ndWlzdGljczwvc3ViamVjdD4KICAgIDxzdWJqZWN0PkNvZ25pdGl2ZSBTY2llbmNlPC9zdWJqZWN0PgogICAgPHN1YmplY3Q+Q29nbml0aW9uPC9zdWJqZWN0PgogICAgPHN1YmplY3Q+RWxlY3Ryb2VuY2VwaGFsb2dyYXBoeTwvc3ViamVjdD4KICA8L3N1YmplY3RzPgogIDxkYXRlcz4KICAgIDxkYXRlIGRhdGVUeXBlPSJJc3N1ZWQiPjIwMTgtMTAtMzA8L2RhdGU+CiAgPC9kYXRlcz4KICA8cmVsYXRlZElkZW50aWZpZXJzPgogICAgPHJlbGF0ZWRJZGVudGlmaWVyIHJlbGF0ZWRJZGVudGlmaWVyVHlwZT0iRE9JIiByZWxhdGlvblR5cGU9IklzU3VwcGxlbWVudFRvIiByZXNvdXJjZVR5cGVHZW5lcmFsPSJUZXh0Ij4xMC4xMDE2L2ouY29nbml0aW9uLjIwMTguMTAuMDEzPC9yZWxhdGVkSWRlbnRpZmllcj4KICAgIDxyZWxhdGVkSWRlbnRpZmllciByZWxhdGVkSWRlbnRpZmllclR5cGU9IkRPSSIgcmVsYXRpb25UeXBlPSJJc1ZlcnNpb25PZiIgcmVzb3VyY2VUeXBlR2VuZXJhbD0iRGF0YXNldCI+MTAuMTc2MzIvYzhtZDJtYmNzejwvcmVsYXRlZElkZW50aWZpZXI+CiAgPC9yZWxhdGVkSWRlbnRpZmllcnM+CiAgPHZlcnNpb24vPgogIDxyaWdodHNMaXN0PgogICAgPHJpZ2h0cyByaWdodHNVUkk9ImluZm86ZXUtcmVwby9zZW1hbnRpY3Mvb3BlbkFjY2VzcyIvPgogICAgPHJpZ2h0cyByaWdodHNVUkk9Imh0dHA6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL3B1YmxpY2RvbWFpbi96ZXJvLzEuMCI+UHVibGljIERvbWFpbiBEZWRpY2F0aW9uPC9yaWdodHM+CiAgPC9yaWdodHNMaXN0PgogIDxkZXNjcmlwdGlvbnM+CiAgICA8ZGVzY3JpcHRpb24gZGVzY3JpcHRpb25UeXBlPSJBYnN0cmFjdCI+RGVzY3JpcHRpb24gb2YgZGF0YSBmcm9tIHRoZSBhcnRpY2xlIOKAnFdoYXQgZG8geW91IGtub3c/IEVSUCBldmlkZW5jZSBmb3IgaW1tZWRpYXRlIHVzZSBvZiBjb21tb24gZ3JvdW5kIGR1cmluZyBvbmxpbmUgcmVmZXJlbmNlIHJlc29sdXRpb27igJ0sIGJ5IFNpa29zLCBUb21saW5zb24sIEhlaW5zLCBhbmQgR3JvZG5lci4gUmVwb3NpdG9yeTogTWVuZGVsZXkgRGF0YSBUaGUgemlwcGVkIGZvbGRlciBEQVRBLnppcCBjb250YWlucyBwcmUtcHJvY2Vzc2VkIGJlaGF2aW9yYWwgYW5kIGVsZWN0cm9waHlzaW9sb2dpY2FsIGRhdGEgZm9yIHRoZSBmaW5hbCA1MCBwYXJ0aWNpcGFudHMgKHNlZSBNZXRob2RzIGZvciBleGNsdXNpb24gYW5kIG91dGxpZXIgcmVtb3ZhbCBjcml0ZXJpYSkuIC0tLS0tLS0tLS0tLS0tLS0gQmVoYXZpb3JhbCBkYXRhIC0tLS0tLS0tLS0tLS0tLS0gQWxsIGJlaGF2aW9yYWwgZGF0YSBhcmUgZ2F0aGVyZWQgaW50byBhIHNpbmdsZSB0YWItZGVsaW1pdGVkIGRvY3VtZW50LiBWYXJpYWJsZSBuYW1lcyBhcmUgc2VsZi1leHBsYW5hdG9yeS4gLS0tLS0tLS0tIEVSUCBkYXRhIC0tLS0tLS0tLSBBLiBmb3JfY2x1c3Rlcl9hbmFseXNlcyBGaXZlIHNlcGFyYXRlIHRhYi1kZWxpbWl0ZWQgZmlsZXMgYXJlIHByb3ZpZGVkIGZvciBlYWNoIHBhcnRpY2lwYW50IChlLmcuLCBzMl9DRy1OTy50eHQpLiBFYWNoIGZpbGUgY29udGFpbnMgZGF0YSBjYXB0dXJpbmcgdGhlIHZvbHRhZ2UgZGlmZmVyZW5jZSAozrxWKSBiZXR3ZWVuIHR3byBjb25kaXRpb25zIChlLmcuLCBDR0MgbWludXMgTm9DKSBkdXJpbmcgdGhlIC0yMDAgdG8gMTYwMCBtcyBlcG9jaCBmb3IgdGhhdCBwYXJ0aWN1bGFyIHN1YmplY3QgKGUuZy4sIHMyKS4gUm93cyBjb3JyZXNwb25kIHRvIHRpbWUgcG9pbnRzLiBDb2x1bW5zIGNvcnJlc3BvbmQgdG8gZWxlY3Ryb2RlIGNoYW5uZWxzOiBFMSA9IEYxMCBFMiA9IEFGNCBFMyA9IEYyIEU0ID0gRkNaIEU1ID0gRlAyIEU2ID0gRlogRTcgPSBGQzEgRTggPSBBRlogRTkgPSBGMSBFMTAgPSBGUDEgRTExID0gQUYzIEUxMiA9IEYzIEUxMyA9IEY1IEUxNCA9IEZDNSBFMTUgPSBGQzMgRTE2ID0gQzEgRTE3ID0gRjkgRTE4ID0gRjcgRTE5ID0gRlQ3IEUyMCA9IEMzIEUyMSA9IENQMSBFMjIgPSBDNSBFMjMgPSBUOSBFMjQgPSBUNyBFMjUgPSBUUDcgRTI2ID0gQ1A1IEUyNyA9IFA1IEUyOCA9IFAzIEUyOSA9IFRQOSBFMzAgPSBQNyBFMzEgPSBQMSBFMzIgPSBQOSBFMzMgPSBQTzMgRTM0ID0gUFogRTM1ID0gTzEgRTM2ID0gUE9aIEUzNyA9IE9aIEUzOCA9IFBPNCBFMzkgPSBPMiBFNDAgPSBQMiBFNDEgPSBDUDIgRTQyID0gUDQgRTQzID0gUDEwIEU0NCA9IFA4IEU0NSA9IFA2IEU0NiA9IENQNiBFNDcgPSBUUDEwIEU0OCA9IFRQOCBFNDkgPSBDNiBFNTAgPSBDNCBFNTEgPSBDMiBFNTIgPSBUOCBFNTMgPSBGQzQgRTU0ID0gRkMyIEU1NSA9IFQxMCBFNTYgPSBGVDggRTU3ID0gRkM2IEU1OCA9IEY4IEU1OSA9IEY2IEU2MCA9IEY0IEU2MSA9IEhFT1IgRTYyID0gVkVPUiBFNjMgPSBWRU9MIEU2NCA9IEhFT0wgQ1ogPSBDWiBOb3RlOiBPY3VsYXIgY2hhbm5lbHMgd2VyZSBleGNsdWRlZCBmcm9tIGNsdXN0ZXIgYW5hbHlzZXMuIEIuIGZvcl9xdWFydGlsZV9hbmFseXNlcyBNZWFuIHZvbHRhZ2UgKM68VikgYXZlcmFnZWQgYWNyb3NzIGFsbCBub24tb2N1bGFyIGVsZWN0cm9kZXMgaW4gdGhlIDYwMC0xMjAwIG1zIHdpbmRvdyBhcmUgZ2F0aGVyZWQgYnkgc3ViamVjdCB4IGNvbmRpdGlvbiB4IHF1YXJ0aWxlIGludG8gYSBzaW5nbGUgdGFiLWRlbGltaXRlZCBkb2N1bWVudC4gVmFyaWFibGUgbmFtZXMgYXJlIHNlbGYtZXhwbGFuYXRvcnkuPC9kZXNjcmlwdGlvbj4KICA8L2Rlc2NyaXB0aW9ucz4KPC9yZXNvdXJjZT4K","url":"https://data.mendeley.com/datasets/c8md2mbcsz/1","con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