{"schema_version":"0.3.0","doc_type":"dataset","dataset_id":"nm000146","name":"Motor Imagery dataset from Weibo et al 2014","description":"This dataset contains EEG recordings from 10 healthy, right-handed participants performing simple and compound limb motor imagery tasks, including imagined movements of the left hand, right hand, both hands, feet, and combined hand-foot movements, as well as rest periods. The data were collected using a 60-channel EEG system (plus EOG channels) at Tianjin University to study EEG oscillatory patterns and cognitive processes underlying motor imagery, and have been converted to BIDS format with HED event annotations by the MOABB project.","source":"nemar","recording_modality":["EEG"],"bids_version":null,"license":"CC0-1.0","authors":[{"name":"Weibo Yi","name_type":"Personal"},{"name":"Shuang Qiu","name_type":"Personal"},{"name":"Kun Wang","name_type":"Personal"},{"name":"Hongzhi Qi","name_type":"Personal"},{"name":"Lixin Zhang","name_type":"Personal"},{"name":"Peng Zhou","name_type":"Personal"},{"name":"Feng He","name_type":"Personal"},{"name":"Dong Ming","name_type":"Personal"}],"keywords":[{"term":"EEG"},{"term":"motor imagery"},{"term":"compound limb motor imagery"},{"term":"EEG oscillatory patterns"},{"term":"cognitive process"},{"term":"effective connectivity"},{"term":"Event-Related Desynchronization"},{"term":"Event-Related Synchronization"}],"related_identifiers":[{"identifier":"10.1371/journal.pone.0114853","identifier_type":"DOI","relation_type":"IsDerivedFrom"},{"identifier":"10.7910/DVN/27306","identifier_type":"DOI","relation_type":"References"},{"identifier":"https://github.com/nemarDatasets/nm000146","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"https://nemar.org/dataset/nm000146","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"10.21105/joss.01896","identifier_type":"DOI","relation_type":"References"},{"identifier":"10.1038/s41597-019-0104-8","identifier_type":"DOI","relation_type":"References"}],"contributors":[],"dates":[],"rights":[{"rights":"CC0-1.0","rights_uri":null,"rights_identifier":"CC0-1.0","rights_identifier_scheme":"SPDX"}],"language":null,"funding":[{"funder_name":"National Natural Science Foundation of China","award_number":"81222021, 61172008, 81171423, 51377120, 31271062","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null},{"funder_name":"National Key Technology R&D Program of the Ministry of Science and Technology of China","award_number":"2012BAI34B02","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null},{"funder_name":"Program for New Century Excellent Talents in University of the Ministry of Education of China","award_number":"NCET-10-0618","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null},{"funder_name":"Natural Science Foundation of Tianjin","award_number":"13JCQNJC13900","award_title":null,"funder_identifier":null,"funder_identifier_type":null,"award_uri":null}],"tasks":["imagery"],"datatypes":["eeg"],"sessions":["0"],"sessions_count":1,"demographics":{"subjects_count":10,"age_min":24,"age_max":24},"data_summary":{"total_files":133,"size_bytes":6060959095,"size_human":"5.64 GB"},"provenance":{"latest_snapshot":"v1.0.2","publish_date":"2026-08-18 22:07:07"},"external_links":{"dataset_doi":"10.82901/nemar.nm000146","github_url":"https://github.com/nemarDatasets/nm000146"},"extensions":{"nemar":{"versions":[{"version":"v1.0.2","doi":"10.82901/nemar.nm000146.v1.0.2","created_at":"2026-08-18 22:07:07","manifest_url":"/nm000146/v1.0.2/manifest.json"},{"version":"v1.0.1","doi":"10.82901/nemar.nm000146.v1.0.1","created_at":"2026-08-14 14:09:14","manifest_url":"/nm000146/v1.0.1/manifest.json"},{"version":"v1.0.0","doi":"10.82901/nemar.nm000146.v1.0.0","created_at":"2026-04-29 22:29:32","manifest_url":"/nm000146/v1.0.0/manifest.json"}],"bids_index":{"version":"v1.0.2","subjects":{"sub-1":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-10":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-2":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-3":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-4":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-5":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-6":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-7":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-8":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}},"sub-9":{"sessions":["0"],"modalities":{"eeg":{"tasks":{"imagery":{"runs":["0"]}}}}}}},"pipeline_stage":"validated","data_complete":1,"bytes_present":6060632696}}}