{"dataset":{"id":"304","dataset_id":"nm000271","name":"Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)","description":"This dataset contains scalp EEG recordings from 28 participants performing or imagining upper-limb rehabilitation exercises under a multi-paradigm protocol. It was designed to support research on motor-imagery-based brain–computer interfaces (BCI) for upper-limb rehabilitation. The data have been converted to BIDS format from the original dataset published by Chang et al. (2025).","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000271","concept_doi":"10.82901/nemar.nm000271","latest_version_doi":"10.82901/nemar.nm000271.v1.0.5","created_at":"2026-03-26 22:03:14","updated_at":"2026-08-20 19:21:45","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)\",\n  \"description\": \"This dataset contains scalp EEG recordings from 28 participants performing or imagining upper-limb rehabilitation exercises under a multi-paradigm protocol. It was designed to support research on motor-imagery-based brain–computer interfaces (BCI) for upper-limb rehabilitation. The data have been converted to BIDS format from the original dataset published by Chang et al. (2025).\",\n  \"methods_description\": \"EEG data were recorded from 28 participants performing a motor-imagery task involving upper-limb rehabilitation exercises under a multi-paradigm protocol, organized under the eeg/ modality with task-imagery.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Wenwen Chang\": {},\n    \"Weixuan Kong\": {\n      \"orcid\": \"0009-0004-5632-2575\"\n    },\n    \"Guanghui Yan\": {},\n    \"Renjie Lv\": {},\n    \"Kaiyue Du\": {},\n    \"Muhammad Tariq Sadiq\": {},\n    \"Bin Guo\": {},\n    \"Rong Yin\": {},\n    \"Xuan Liu\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"motor imagery\"\n    },\n    {\n      \"term\": \"upper limb\"\n    },\n    {\n      \"term\": \"Rehabilitation\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D012046\"\n    },\n    {\n      \"term\": \"brain-computer interface\"\n    },\n    {\n      \"term\": \"multi-paradigm\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1038/s41597-025-06147-6\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000271\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000271\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"50.5 GB (1582 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".fdt\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"7b6f41f8e6264ce1e711ff147fdf990bb9156046df2021f0f44483d777088575\"\n}","last_activity_at":"2026-08-16 13:40:02","source":null,"source_id":null,"subject_count":28,"modalities":"eeg","age_min":null,"age_max":null,"file_size":50529693448,"total_files":2720,"tasks":"imagery","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Wenwen Chang, Weixuan Kong, Guanghui Yan, Renjie Lv, Kaiyue Du, Muhammad Tariq Sadiq, Bin Guo, Rong Yin, Xuan Liu","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000271-blue)](https://doi.org/10.82901/nemar.nm000271)\n\n# Multi-paradigm EEG dataset for studying upper limb rehabilitation exercises\n\n## Summary\n\nThis dataset contains scalp electroencephalography (EEG) recordings acquired while\nparticipants performed/imagined **upper-limb rehabilitation exercises** under a\n**multi-paradigm** protocol. It is intended to support research on motor-imagery and\nrehabilitation brain–computer interfaces (BCI) for upper-limb function.\n\nThe BIDS conversion in this NEMAR record contains EEG data for **28 participants**\n(`sub-*` folders), organised under the `eeg/` modality with a motor-imagery task\n(`task-imagery`).\n\n## Modality and paradigm\n\n- **Modality:** EEG (scalp electroencephalography)\n- **Task / paradigm:** Upper-limb motor imagery / rehabilitation exercises\n  (`task-imagery`), multi-paradigm\n- **Application:** Upper-limb rehabilitation, motor-imagery BCI\n\n## Participants\n\nThis BIDS dataset includes **28 subjects**. Refer to `participants.tsv` and the\noriginal data descriptor for demographic details.\n\n## Original dataset / data paper\n\nPlease cite the original Scientific Data descriptor when using this dataset:\n\n> Chang, W., Kong, W., Yan, G., Lv, R., Du, K., Sadiq, M. T., Guo, B., Yin, R., & Liu, X.\n> (2025). *A multi-paradigm EEG dataset for studying upper limb rehabilitation\n> exercises.* **Scientific Data, 12, 1877.**\n> https://doi.org/10.1038/s41597-025-06147-6\n\n- **DOI:** [10.1038/s41597-025-06147-6](https://doi.org/10.1038/s41597-025-06147-6)\n- **Source / project:** School of Electronic and Information Engineering, Lanzhou\n  Jiaotong University\n- **Related record:** https://figshare.com/articles/dataset/28831730\n\n## Attribution\n\nAll data were collected by the original authors (Wenwen Chang and colleagues, Lanzhou\nJiaotong University). Please credit the original creators and cite the data paper above.\nThis NEMAR record redistributes the dataset in BIDS format; EEG-BIDS and related BIDS\ntools were used only for standardisation, not as the source of the data.\n\n## License\n\nCC-BY-4.0 (see `dataset_description.json`).\n","bids_version":"1.9.0","sessions_count":6,"publish_date":"2026-03-26 22:03:14","embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-09-06 02:48:59","zarr_store_count":113,"zarr_index_etag":"7f0d360dbc5e2067bcdb52831fbcfdc9","zarr_source_commit":"5fc5dd4a68297e44d8bb193078e7e5bc88189c70","archive_status":"ready","archive_size":43192869761,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":3,"n_channels":59,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":50528027485,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":2720,"zarr_pool_breaks":0,"total_recording_duration":20970,"recording_duration_min":182,"recording_duration_max":191,"recording_count":113,"recordings_unavailable":0,"recordings_measured":113,"channel_count_min":59,"channel_count_max":59,"sampling_frequency":1000,"power_line_frequency":50,"eeg_reference":null,"placement_scheme":"10-05 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-20 19:21:07\",\"metadata_updated_at\":\"2026-08-20 19:21:43\",\"archive_checked_at\":\"2026-08-20 19:48:09\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-08-20 19:22:39\",\"citations_updated_at\":\"2026-09-08 03:00:51\",\"channel_montage_checked_at\":\"2026-06-28 23:02:42\",\"hed_checked_at\":\"2026-06-30 07:33:17\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-22 03:01:30\",\"signal_defaults_at\":\"2026-09-02 11:50:43\",\"recording_stats_at\":\"2026-09-06 03:00:46\"}","participants":28,"num_citations":3,"latest_version":"v1.0.5","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"47.06 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000271/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}}