{"data":{"id":"10.6084/m9.figshare.3201289.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3201289.v1","prefix":"10.6084","suffix":"m9.figshare.3201289.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Addyman, Caspar","nameType":"Personal","givenName":"Caspar","familyName":"Addyman","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0001-9548","nameIdentifierScheme":"ORCID"}]},{"name":"Sinead Rocha","affiliation":[],"nameIdentifiers":[]},{"name":"Fautrelle, Lilian","nameType":"Personal","givenName":"Lilian","familyName":"Fautrelle","affiliation":[],"nameIdentifiers":[]},{"name":"French, Robert M","nameType":"Personal","givenName":"Robert M","familyName":"French","affiliation":[],"nameIdentifiers":[]},{"name":"Thomas, Elizabeth","nameType":"Personal","givenName":"Elizabeth","familyName":"Thomas","affiliation":[],"nameIdentifiers":[]},{"name":"Mareschal, Denis","nameType":"Personal","givenName":"Denis","familyName":"Mareschal","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Embodiment and the origin of interval timing: kinematic and electromyographic data. [materials \u0026amp; dataset]"}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"170102 Developmental Psychology and Ageing","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":"170112 Sensory Processes, Perception and Performance","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2016-11-25","dateType":"Created"},{"date":"2016-12-08","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.3201289","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["139929875 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"MIT License","rightsUri":"https://opensource.org/licenses/MIT","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"mit","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Supporting materials for the paper \"Embodiment and the origin of interval timing: kinematic and electromyographic data.\" by same authors in Experimental Brain Research DOI:10.1007/s00221-016-4842-y\u003cbr\u003eABSTRACTRecent evidence suggests that interval timing (the judgment of durations lasting from approximately 500 ms. to a few minutes) is closely coupled to the action control system. We used surface electromyography (EMG) and motion capture technology to explore the emergence of this coupling in 4-, 6-, and 8-month-olds. We engaged infants in an active and socially relevant arm-raising task with 7 cycles and response period. In one condition cycles were slow (every 4 seconds) in another they were fast (every 2 seconds). In the slow condition, we found evidence of time locked sub-threshold EMG activity even in the absence of any observed overt motor responses at all 3 ages. This study shows that EMGs can be a more sensitive measure of interval timing in early development than overt behavior.INCLUDED FILES Experiment control scripts are included in the zip file: \u003cb\u003eInfant EMG matlab experiment scripts.zip\u003c/b\u003e\u003cb\u003e\u003cbr\u003e\u003c/b\u003eMatlab data analysis files are included in the zip file \u003cb\u003eanalysis code.zip\u003c/b\u003e\u003cb\u003e\u003cbr\u003e\u003c/b\u003eParticipant summary info - \u003cb\u003eHands_Summary.xlsx\u003c/b\u003e\u003cbr\u003eMotion capture timestamps for each cycle start by participant by block\u003cb\u003eHands.MotionTimeStamps.4sec.csv\u003c/b\u003e\u003cb\u003eHands.MotionTimeStamps.2sec.csv\u003c/b\u003e\u003cbr\u003eMotion Capture z-axis data by participant by block\u003cb\u003eHands.MotionData.4sec.csv\u003c/b\u003e\u003cb\u003eHands.MotionData.2sec.csv\u003c/b\u003e\u003cbr\u003eEMG timestamps for each cycle by participant by block\u003cb\u003eHands.EMGTimeStamps.4sec.csv\u003c/b\u003e\u003cb\u003eHands.EMGTimeStamps.2sec.csv\u003c/b\u003e\u003cbr\u003eEMG data (infant bicep) by participant by block\u003cb\u003eHands.MotionData.4sec.csv\u003c/b\u003e\u003cb\u003eHands.MotionData.2sec.csv\u003c/b\u003e\u003cbr\u003eSummary peak and trough data by particpant \u003cb\u003eEMG ANOVA by age 2sec.sav\u003c/b\u003e\u003cb\u003eEMG ANOVA by age 4sec.sav\u003c/b\u003e\u003cbr\u003ePeak and trough data by participant by blockemg_anova2s4m.csvemg_anova2s6m.csvetc \u003cb\u003e\u003cbr\u003e\u003c/b\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYS1pbnN0YW5jZSIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00LjEvbWV0YWRhdGEueHNkIj4KICA8aWRlbnRpZmllciBpZGVudGlmaWVyVHlwZT0iRE9JIj4xMC42MDg0L005LkZJR1NIQVJFLjMyMDEyODkuVjE8L2lkZW50aWZpZXI+CiAgPGNyZWF0b3JzPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5DYXNwYXIgQWRkeW1hbjwvY3JlYXRvck5hbWU+CiAgICAgIDxuYW1lSWRlbnRpZmllciBuYW1lSWRlbnRpZmllclNjaGVtZT0iT1JDSUQiIHNjaGVtZVVSST0iaHR0cDovL29yY2lkLm9yZyI+MDAwMC0wMDAzLTAwMDEtOTU0ODwvbmFtZUlkZW50aWZpZXI+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPlNpbmVhZCBSb2NoYTwvY3JlYXRvck5hbWU+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPkxpbGlhbiBGYXV0cmVsbGU8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5Sb2JlcnQgTSBGcmVuY2g8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5FbGl6YWJldGggVGhvbWFzPC9jcmVhdG9yTmFtZT4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWU+RGVuaXMgTWFyZXNjaGFsPC9jcmVhdG9yTmFtZT4KICAgIDwvY3JlYXRvcj4KICA8L2NyZWF0b3JzPgogIDx0aXRsZXM+CiAgICA8dGl0bGU+RW1ib2RpbWVudCBhbmQgdGhlIG9yaWdpbiBvZiBpbnRlcnZhbCB0aW1pbmc6IGtpbmVtYXRpYyBhbmQgZWxlY3Ryb215b2dyYXBoaWMgZGF0YS4gW21hdGVyaWFscyAmYW1wOyBkYXRhc2V0XTwvdGl0bGU+CiAgPC90aXRsZXM+CiAgPGRlc2NyaXB0aW9ucz4KICAgIDxkZXNjcmlwdGlvbiBkZXNjcmlwdGlvblR5cGU9IkFic3RyYWN0Ij4mbHQ7ZGl2Jmd0O1N1cHBvcnRpbmcgbWF0ZXJpYWxzIGZvciB0aGUgcGFwZXIgIkVtYm9kaW1lbnQgYW5kIHRoZSBvcmlnaW4gb2YgaW50ZXJ2YWwgdGltaW5nOiBraW5lbWF0aWMgYW5kIGVsZWN0cm9teW9ncmFwaGljIGRhdGEuIiBieSBzYW1lIGF1dGhvcnMgaW4gRXhwZXJpbWVudGFsIEJyYWluIFJlc2VhcmNoIMKgwqAgwqBET0k6MTAuMTAwNy9zMDAyMjEtMDE2LTQ4NDIteSZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2JyJmd0OyZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7QUJTVFJBQ1QmbHQ7L2RpdiZndDsmbHQ7ZGl2Jmd0OyZsdDtwJmd0O1JlY2VudCBldmlkZW5jZSBzdWdnZXN0cyB0aGF0CmludGVydmFsIHRpbWluZyAodGhlIGp1ZGdtZW50IG9mIGR1cmF0aW9ucyBsYXN0aW5nIGZyb20gYXBwcm94aW1hdGVseSA1MDAgbXMuCnRvIGEgZmV3IG1pbnV0ZXMpIGlzIGNsb3NlbHkgY291cGxlZCB0byB0aGUgYWN0aW9uIGNvbnRyb2wgc3lzdGVtLiBXZSB1c2VkIHN1cmZhY2UKZWxlY3Ryb215b2dyYXBoeSAoRU1HKSBhbmQgbW90aW9uIGNhcHR1cmUgdGVjaG5vbG9neSB0byBleHBsb3JlIHRoZSBlbWVyZ2VuY2UKb2YgdGhpcyBjb3VwbGluZyBpbiA0LSwgNi0sIGFuZCA4LW1vbnRoLW9sZHMuIFdlIGVuZ2FnZWQgaW5mYW50cyBpbiBhbiBhY3RpdmUKYW5kIHNvY2lhbGx5IHJlbGV2YW50IGFybS1yYWlzaW5nIHRhc2sgd2l0aCA3IGN5Y2xlcyBhbmQgcmVzcG9uc2UgcGVyaW9kLiBJbgpvbmUgY29uZGl0aW9uIGN5Y2xlcyB3ZXJlIHNsb3cgKGV2ZXJ5IDQgc2Vjb25kcykgaW4gYW5vdGhlciB0aGV5IHdlcmUgZmFzdAooZXZlcnkgMiBzZWNvbmRzKS4gSW4gdGhlIHNsb3cgY29uZGl0aW9uLCB3ZSBmb3VuZCBldmlkZW5jZSBvZiB0aW1lIGxvY2tlZApzdWItdGhyZXNob2xkIEVNRyBhY3Rpdml0eSBldmVuIGluIHRoZSBhYnNlbmNlIG9mIGFueSBvYnNlcnZlZCBvdmVydCBtb3RvcgpyZXNwb25zZXMgYXQgYWxsIDMgYWdlcy4gVGhpcyBzdHVkeSBzaG93cyB0aGF0IEVNR3MgY2FuIGJlIGEgbW9yZSBzZW5zaXRpdmUKbWVhc3VyZSBvZiBpbnRlcnZhbCB0aW1pbmcgaW4gZWFybHkgZGV2ZWxvcG1lbnQgdGhhbiBvdmVydCBiZWhhdmlvci4mbHQ7L3AmZ3Q7Jmx0O3AmZ3Q7SU5DTFVERUQgRklMRVMgwqAmbHQ7L3AmZ3Q7Jmx0Oy9kaXYmZ3Q7Jmx0O2RpdiZndDtFeHBlcmltZW50IGNvbnRyb2wgc2NyaXB0cyBhcmUgaW5jbHVkZWQgaW4gdGhlIHppcCBmaWxlOsKgJmx0Oy9kaXYmZ3Q7Jmx0O2RpdiZndDsmbHQ7YiZndDtJbmZhbnQgRU1HIG1hdGxhYiBleHBlcmltZW50IHNjcmlwdHMuemlwJmx0Oy9iJmd0OyZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2ImZ3Q7Jmx0O2JyJmd0OyZsdDsvYiZndDsmbHQ7L2RpdiZndDsmbHQ7ZGl2Jmd0O01hdGxhYiBkYXRhIGFuYWx5c2lzIGZpbGVzIGFyZSBpbmNsdWRlZCBpbiB0aGUgemlwIGZpbGXCoCZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2ImZ3Q7YW5hbHlzaXMgY29kZS56aXAmbHQ7L2ImZ3Q7Jmx0Oy9kaXYmZ3Q7Jmx0O2RpdiZndDsmbHQ7YiZndDsmbHQ7YnImZ3Q7Jmx0Oy9iJmd0OyZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7UGFydGljaXBhbnQgc3VtbWFyeSBpbmZvIC3CoCZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2ImZ3Q7SGFuZHNfU3VtbWFyeS54bHN4Jmx0Oy9iJmd0OyZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2JyJmd0OyZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7TW90aW9uIGNhcHR1cmUgdGltZXN0YW1wcyBmb3IgZWFjaCBjeWNsZSBzdGFydCBieSBwYXJ0aWNpcGFudCBieSBibG9jayZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2ImZ3Q7SGFuZHMuTW90aW9uVGltZVN0YW1wcy40c2VjLmNzdiZsdDsvYiZndDsmbHQ7L2RpdiZndDsmbHQ7ZGl2Jmd0OyZsdDtiJmd0O0hhbmRzLk1vdGlvblRpbWVTdGFtcHMuMnNlYy5jc3YmbHQ7L2ImZ3Q7Jmx0Oy9kaXYmZ3Q7Jmx0O2RpdiZndDsmbHQ7YnImZ3Q7Jmx0Oy9kaXYmZ3Q7Jmx0O2RpdiZndDtNb3Rpb24gQ2FwdHVyZSB6LWF4aXMgZGF0YSBieSBwYXJ0aWNpcGFudCBieSBibG9jayZsdDsvZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2ImZ3Q7SGFuZHMuTW90aW9uRGF0YS40c2VjLmNzdiZsdDsvYiZndDsmbHQ7L2RpdiZndDsmbHQ7ZGl2Jmd0OyZsdDtkaXYmZ3Q7Jmx0O2ImZ3Q7SGFuZHMuTW90aW9uRGF0YS4yc2VjLmNzdiZsdDsvYiZndDsmbHQ7L2RpdiZndDsmbHQ7L2RpdiZndDsmbHQ7ZGl2Jmd0OyZsdDticiZndDsmbHQ7L2RpdiZndDsmbHQ7ZGl2Jmd0OyZsdDtkaXYmZ3Q7RU1HIHRpbWVzdGFtcHMgZm9yIGVhY2ggY3ljbGUgYnkgcGFydGljaXBhbnQgYnkgYmxvY2smbHQ7L2RpdiZndDsmbHQ7ZGl2Jmd0OyZsdDtiJmd0O0hhbmRzLkVNR1RpbWVTdGFtcHMuNHNlYy5jc3YmbHQ7L2ImZ3Q7Jmx0Oy9kaXYmZ3Q7Jmx0O2RpdiZndDsmbHQ7ZGl2Jmd0OyZsdDtiJmd0O0hhbmRzLkVNR1RpbWVTdGFtcHMuMnNlYy5jc3YmbHQ7L2ImZ3Q7Jmx0Oy9kaXYmZ3Q7Jmx0Oy9kaXYmZ3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