{"data":{"id":"10.6084/m9.figshare.2068677.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.2068677.v1","prefix":"10.6084","suffix":"m9.figshare.2068677.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Nikolopoulos, Spiros","nameType":"Personal","givenName":"Spiros","familyName":"Nikolopoulos","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"MAMEM EEG SSVEP Dataset I (256 channels, 11 subjects, 5 frequencies)"}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"90302 Biomechanical Engineering","subjectScheme":"FOR"},{"subject":"FOS: Medical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Medical engineering","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Computer Engineering"},{"subject":"90609 Signal Processing","subjectScheme":"FOR"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Neuroscience and Physiological Psychology"}],"contributors":[],"dates":[{"date":"2016-01-29","dateType":"Created"},{"date":"2016-01-30","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.2068677","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["6585295929 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":"EEG signals with 256 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the EGI 300 Geodesic EEG System (GES 300), using a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz has been used for capturing the signals. Check https://github.com/MAMEM/ssvep-eeg-processing-toolbox for the processing toolbox.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYS1pbnN0YW5jZSIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00LjEvbWV0YWRhdGEueHNkIj4KICA8aWRlbnRpZmllciBpZGVudGlmaWVyVHlwZT0iRE9JIj4xMC42MDg0L005LkZJR1NIQVJFLjIwNjg2NzcuVjE8L2lkZW50aWZpZXI+CiAgPGNyZWF0b3JzPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5TcGlyb3MgTmlrb2xvcG91bG9zPC9jcmVhdG9yTmFtZT4KICAgIDwvY3JlYXRvcj4KICA8L2NyZWF0b3JzPgogIDx0aXRsZXM+CiAgICA8dGl0bGU+TUFNRU0gRUVHIFNTVkVQIERhdGFzZXQgSSAoMjU2IGNoYW5uZWxzLCAxMSBzdWJqZWN0cywgNSAgZnJlcXVlbmNpZXMpPC90aXRsZT4KICA8L3RpdGxlcz4KICA8ZGVzY3JpcHRpb25zPgogICAgPGRlc2NyaXB0aW9uIGRlc2NyaXB0aW9uVHlwZT0iQWJzdHJhY3QiPiZsdDtwJmd0O0VFRyBzaWduYWxzIHdpdGggMjU2IGNoYW5uZWxzIGNhcHR1cmVkIGZyb20gMTEKc3ViamVjdHMgZXhlY3V0aW5nIGEgU1NWRVAtYmFzZWQgZXhwZXJpbWVudGFsIHByb3RvY29sLiBGaXZlIGRpZmZlcmVudApmcmVxdWVuY2llcyAoNi42NiwgNy41MCwgOC41NywgMTAuMDAgYW5kIDEyLjAwIEh6KSBoYXZlIGJlZW4gdXNlZCBmb3IgdGhlCnZpc3VhbCBzdGltdWxhdGlvbiwgYW5kIHRoZSBFR0kgMzAwIEdlb2Rlc2ljIEVFRyBTeXN0ZW0gKEdFUyAzMDApLCB1c2luZyBhCjI1Ni1jaGFubmVsIEh5ZHJvQ2VsIEdlb2Rlc2ljIFNlbnNvciBOZXQgKEhDR1NOKSBhbmQgYSBzYW1wbGluZyByYXRlIG9mIDI1MCBIegpoYXMgYmVlbiB1c2VkIGZvciBjYXB0dXJpbmcgdGhlIHNpZ25hbHMuwqAmbHQ7L3AmZ3Q7Jmx0O3AmZ3Q7Q2hlY2vCoGh0dHBzOi8vZ2l0aHViLmNvbS9NQU1FTS9zc3ZlcC1lZWctcHJvY2Vzc2luZy10b29sYm94IGZvciB0aGUgcHJvY2Vzc2luZyB0b29sYm94LiZsdDsvcCZndDs8L2Rlc2NyaXB0aW9uPgogIDwvZGVzY3JpcHRpb25zPgogIDxzdWJqZWN0cz4KICAgIDxzdWJqZWN0IHNjaGVtZVVSST0iaHR0cDovL3d3dy5hYnMuZ292LmF1L2F1c3N0YXRzL2Fic0AubnNmLzAvNkJCNDI3QUI5Njk2QzIyNUNBMjU3NDE4MDAwNDQ2M0UiIHN1YmplY3RTY2hlbWU9IkZPUiI+OTAzMDIgQmlvbWVjaGFuaWNhbCBFbmdpbmVlcmluZzwvc3ViamVjdD4KICAgIDxzdWJqZWN0PkNvbXB1dGVyIEVuZ2luZWVyaW5nPC9zdWJqZWN0PgogICAgPHN1YmplY3Qgc2NoZW1lVVJJPSJodHRwOi8vd3d3LmFicy5nb3YuYXUvYXVzc3RhdHMvYWJzQC5uc2YvMC82QkI0MjdBQjk2OTZDMjI1Q0EyNTc0MTgwMDA0NDYzRSIgc3ViamVjdFNjaGVtZT0iRk9SIj45MDYwOSBTaWduYWwgUHJvY2Vzc2luZzwvc3ViamVjdD4KICAgIDxzdWJqZWN0Pk5ldXJvc2NpZW5jZSBhbmQgUGh5c2lvbG9naWNhbCBQc3ljaG9sb2d5PC9zdWJqZWN0PgogIDwvc3ViamVjdHM+CiAgPHB1Ymxpc2hlcj5maWdzaGFyZTwvcHVibGlzaGVyPgogIDxwdWJsaWNhdGlvblllYXI+MjAxNjwvcHVibGljYXRpb25ZZWFyPgogIDxkYXRlcz4KICAgIDxkYXRlIGRhdGVUeXBlPSJDcmVhdGVkIj4yMDE2LTAxLTI5PC9kYXRlPgogICAgPGRhdGUgZGF0ZVR5cGU9IlVwZGF0ZWQiPjIwMTYtMDEtMzA8L2RhdGU+CiAgPC9kYXRlcz4KICA8cmVzb3VyY2VUeXBlIHJlc291cmNlVHlwZUdlbmVyYWw9IkRhdGFzZXQiPkRhdGFzZXQ8L3Jlc291cmNlVHlwZT4KICA8c2l6ZXM+CiAgICA8c2l6ZT42NTg1Mjk1OTI5IEJ5dGVzPC9zaXplPgogIDwvc2l6ZXM+CiAgPHJlbGF0ZWRJZGVudGlmaWVycz4KICAgIDxyZWxhdGVkSWRlbnRpZmllciByZWxhdGVkSWRlbnRpZmllclR5cGU9IkRPSSIgcmVsYXRpb25UeXBlPSJJc1ByZXZpb3VzVmVyc2lvbk9mIj4xMC42MDg0L205LmZpZ3NoYXJlLjIwNjg2Nzc8L3JlbGF0ZWRJZGVudGlmaWVyPgogIDwvcmVsYXRlZElkZW50aWZpZXJzPgogIDxyaWdodHNMaXN0PgogICAgPHJpZ2h0cyByaWdodHNVUkk9Imh0dHBzOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS80LjAvIj5DQyBCWSA0LjA8L3JpZ2h0cz4KICA8L3JpZ2h0c0xpc3Q+CjwvcmVzb3VyY2U+","url":"https://figshare.com/articles/dataset/MAMEM_EEG_SSVEP_Dataset_I_256_channels_11_subjects_5_frequencies_/2068677/1","contentUrl":null,"metadataVersion":5,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":13,"viewsOverTime":[{"yearMonth":"2025-12","total":1},{"yearMonth":"2026-02","total":1},{"yearMonth":"2026-03","total":7},{"yearMonth":"2026-06","total":1},{"yearMonth":"2026-07","total":2},{"yearMonth":"2026-08","total":1}],"downloadCount":4,"downloadsOverTime":[{"yearMonth":"2025-12","total":0},{"yearMonth":"2026-02","total":0},{"yearMonth":"2026-03","total":4},{"yearMonth":"2026-06","total":0},{"yearMonth":"2026-07","total":0},{"yearMonth":"2026-08","total":0}],"referenceCount":0,"citationCount":10,"citationsOverTime":[{"year":"2026","total":10}],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2016-01-29T18:39:16.000Z","registered":"2016-01-29T18:39:17.000Z","published":"2016","updated":"2020-09-04T13:16:33.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.2068677.v1","type":"media"}},"references":{"data":[]},"citations":{"data":[{"id":"10.82901/nemar.nm000121","type":"dois"},{"id":"10.82901/nemar.nm000121.v1.0.3","type":"dois"},{"id":"10.82901/nemar.nm000119","type":"dois"},{"id":"10.82901/nemar.nm000119.v1.0.3","type":"dois"},{"id":"10.82901/nemar.nm000121.v1.0.2","type":"dois"},{"id":"10.82901/nemar.nm000119.v1.0.2","type":"dois"},{"id":"10.82901/nemar.nm000119.v1.0.1","type":"dois"},{"id":"10.82901/nemar.nm000121.v1.0.1","type":"dois"},{"id":"10.82901/nemar.nm000121.v1.0.0","type":"dois"},{"id":"10.82901/nemar.nm000119.v1.0.0","type":"dois"}]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}