{"dataset":{"id":"61170","dataset_id":"on006465","name":"3M-CPSEED：An EEG-based Dataset for Chinese Pinyin Production in Overt, Silent-intended, and Imagined Speech","description":"3M-CPSEED is an EEG dataset capturing brain activity from 20 healthy native Chinese speakers performing overt, silent-intended, and imagined speech production of Chinese Pinyin syllables. The dataset targets speech neurophysiology research, particularly the neural correlates of pinyin articulation across speech modes, and supports transfer learning studies for other alphabetic languages.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on006465","concept_doi":"10.82901/nemar.on006465","latest_version_doi":"10.82901/nemar.on006465.v1.0.0","created_at":"2026-06-29 01:01:38","updated_at":"2026-08-19 00:38:51","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"3M-CPSEED：An EEG-based Dataset for Chinese Pinyin Production in Overt, Silent-intended, and Imagined Speech\",\n  \"description\": \"3M-CPSEED is an EEG dataset capturing brain activity from 20 healthy native Chinese speakers performing overt, silent-intended, and imagined speech production of Chinese Pinyin syllables. The dataset targets speech neurophysiology research, particularly the neural correlates of pinyin articulation across speech modes, and supports transfer learning studies for other alphabetic languages.\",\n  \"methods_description\": \"EEG was recorded from 20 healthy, right-handed native Chinese speakers (mean age 24.55, SD 2.58; 11 females, 9 males) while they read displayed Pinyin syllables (finals: a, i, u, ü; initials: m, f, j, l, k, ch) under three conditions: overt speech, silently articulated speech, and imagined speech. Each participant completed 4 blocks of 1600 trials.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Xinyu Ma\": {},\n    \"Jiang Yi\": {},\n    \"Ning Jiang\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"Speech\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D013060\"\n    },\n    {\n      \"term\": \"imagined speech\"\n    },\n    {\n      \"term\": \"Chinese Pinyin\"\n    },\n    {\n      \"term\": \"speech production\"\n    },\n    {\n      \"term\": \"transfer learning\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006465\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on006465\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds006465\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsVersionOf\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds006465.v2.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"West China Hospital\",\n      \"award_number\": \"ZYYC22001\",\n      \"award_title\": \"1.3.5 project for disciplines of excellence\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"16.2 GB (344 files)\"\n  ],\n  \"formats\": [\n    \".edf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"40dabf7da039bcd1ffb88ca6d6675ed79cab639e76898ed1e72063a3f188982f\"\n}","last_activity_at":"2026-06-29 01:01:38","source":"openneuro","source_id":"ds006465","subject_count":20,"modalities":"eeg","age_min":19,"age_max":30,"file_size":17057973353,"total_files":875,"tasks":"imaginedspeech","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Xinyu Ma, Jiang Yi, Ning Jiang","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006465-blue)](https://doi.org/10.82901/nemar.on006465)\n\nOverview\n\nThis dataset, named 3M-CPSEED, consists of electroencephalogram (EEG) recordings obtained from 20 participants engaged in imagined speech tasks. 3M-CPSEED holds significant implications for speech neurophysiology research, not only facilitating exploration of neural activity differences across pinyin articulations but also enabling robust transfer learning studies for other alphabetic languages.\n\nData Collection\n\nParticipants: 20 healthy, right-handed individuals (average age: 24.55 years, standard deviation: 2.58 years; 11 females, 9 males) who are native Chinese speakers.\n\nMaterials: To strike a balance between comprehensively capturing the articulatory features of the Chinese phonological system and maintaining a concise, controllable set of stimuli, we selected this set of Pinyin sounds: Finals: \"a, i, u, ü\"; Initials: \"m, f, j, l, k, ch\".\n\nProcedure: Participants read Pinyin displayed on a screen at 'speak', 'Silently articulated' and 'imagined' phase. Each participant completed 4 blocks of 1600 trials in total.\n\nData Structure\n\nThe dataset is organized according to the BIDS standard:\n\nMain Folder:\ndataset_description.json: Description of the dataset.\nparticipants.tsv: Participant information.\nparticipants.json: Details of columns in participants.tsv.\nREADME: General information about the dataset.\ndata_all.mat: Labeled EEG data of all subjects in MAT format.\nDerivative Data:\npreproc/: Preprocessed data, including subfolders for each subject (sub-01, etc.), with data in .mat formats .\n\nAcknowledgments\nThis work was supported by a 1.3.5 project for disciplines of excellence from West China Hospital (#ZYYC22001).","bids_version":"1.7.0","sessions_count":4,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-24 11:28:32","zarr_store_count":79,"zarr_index_etag":"463886b0f2b5ce43e59aa5fdbff37b14","zarr_source_commit":"1280273ac8746687d368df8aade9bbbf07f0975d","archive_status":"ready","archive_size":14068039488,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":1,"zarr_failure_count":1,"zarr_deterministic":1,"zarr_failed_at":"2026-08-24 11:28:32","num_dataset_citations":3,"num_datapaper_citations":0,"n_channels":32,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":16207360897,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":104875,"recording_duration_min":317,"recording_duration_max":2142,"recording_count":80,"recordings_unavailable":1,"recordings_measured":79,"channel_count_min":33,"channel_count_max":135,"sampling_frequency":500,"power_line_frequency":50,"eeg_reference":null,"placement_scheme":"based on the extended 10/20 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 00:38:39\",\"metadata_updated_at\":\"2026-08-19 00:38:50\",\"archive_checked_at\":\"2026-06-29 01:20:31\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-29 01:11:29\",\"citations_updated_at\":\"2026-09-08 03:00:51\",\"channel_montage_checked_at\":\"2026-06-29 02:06:34\",\"hed_checked_at\":\"2026-06-30 05:34:30\",\"data_checked_at\":\"2026-08-28 03:00:26\",\"availability_report_at\":\"2026-07-23 01:29:16\",\"recording_stats_at\":\"2026-09-02 11:33:41\",\"signal_defaults_at\":\"2026-09-02 12:46:06\"}","participants":20,"num_citations":3,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"15.89 GB","zarr_data_failures":{"count":1,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on006465/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}