{"dataset":{"id":"47563","dataset_id":"nm000184","name":"BCI Competition 2020 Track 5 — ERP during walking (scalp, ear-EEG, and IMU)","description":"This dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. The dataset was collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. This is a BIDS-formatted derivative dataset converted from the original data using the MOABB (Mother of All BCI Benchmarks) pipeline.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000184","concept_doi":"10.82901/nemar.nm000184","latest_version_doi":"10.82901/nemar.nm000184.v1.0.3","created_at":"2026-06-19 22:55:13","updated_at":"2026-08-18 18:18:10","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"BCI Competition 2020 Track 5 — ERP during walking (scalp, ear-EEG, and IMU)\",\n  \"description\": \"This dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. The dataset was collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. This is a BIDS-formatted derivative dataset converted from the original data using the MOABB (Mother of All BCI Benchmarks) pipeline.\",\n  \"methods_description\": \"Participants performed a visual oddball P300 paradigm with target ('OOO') and non-target ('XXX') stimuli (target ratio 0.2) while walking on a treadmill at 1.6 m/s. EEG was recorded from 46 scalp channels (standard 10-20 montage) plus 14 ear-EEG channels (7 per ear), 4 EOG channels, and 6 IMU channels (3-axis accelerometer and gyroscope) at 100 Hz sampling rate. Data were epoched from -190 ms to +800 ms around stimulus onset.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Ji-Hoon Jeong\": {},\n    \"Jeong-Hyun Cho\": {},\n    \"Young-Eun Lee\": {},\n    \"Seo-Hyun Lee\": {},\n    \"Gi-Hwan Shin\": {},\n    \"Young-Seok Kweon\": {},\n    \"Jose del R. Millan\": {},\n    \"Klaus-Robert Muller\": {},\n    \"Seong-Whan Lee\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"P300\"\n    },\n    {\n      \"term\": \"Event-Related Potentials\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D018913\"\n    },\n    {\n      \"term\": \"Brain-Computer Interfaces\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D062207\"\n    },\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"ambulatory BCI\"\n    },\n    {\n      \"term\": \"walking\"\n    },\n    {\n      \"term\": \"ear-EEG\"\n    },\n    {\n      \"term\": \"inertial measurement unit\"\n    },\n    {\n      \"term\": \"ERP\"\n    },\n    {\n      \"term\": \"BCI competition\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.3389/fnhum.2022.898300\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000184\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0104-8\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000184\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"BCI Competition 2020\"\n    },\n    {\n      \"funder_name\": \"BCI Competition 2020\",\n      \"award_number\": \"Track 5\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"234.0 MB (61 files)\"\n  ],\n  \"formats\": [\n    \".edf\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e10a476df6bd5ddba548dc1b014dcee4335bcf9035725c2d17607beb2716c31c\"\n}","last_activity_at":"2026-08-16 13:27:48","source":null,"source_id":null,"subject_count":15,"modalities":"eeg","age_min":null,"age_max":null,"file_size":234465112,"total_files":371,"tasks":"p300","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Ji-Hoon Jeong, Jeong-Hyun Cho, Young-Eun Lee, Seo-Hyun Lee, Gi-Hwan Shin, Young-Seok Kweon, Jose del R. Millan, Klaus-Robert Muller, Seong-Whan Lee","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000184-blue)](https://doi.org/10.82901/nemar.nm000184)\n\n# BCI Competition 2020 Track 5 — ERP during walking (scalp, ear-EEG, and IMU)\n\n## Overview\n\nThis dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task while walking on a treadmill at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels, 7 per ear), electrooculography (4 channels), and inertial measurement unit recordings (6 channels: 3-axis accelerometer and gyroscope) sampled at 100 Hz. Data were collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions, with trials temporally divided into training, validation, and test sets.\n\n## Dataset Summary\n\n| Property | Value |\n|---|---|\n| Subjects | 15 |\n| Channels | 46 |\n| Classes | 2 |\n| Trial length | 1 s |\n| Sampling frequency | 100 Hz |\n| Sessions | 1 |\n| Total trials | 4500 |\n| Paradigm | P300 |\n\n## Data Collection Methods\n\nParticipants performed a visual oddball P300 paradigm with target ('OOO') and non-target ('XXX') stimuli (target ratio 0.2) while walking on a treadmill at 1.6 m/s. EEG was recorded from 46 scalp channels (standard 10-20 montage) plus 14 ear-EEG channels (7 per ear), 4 EOG channels, and 6 IMU channels (3-axis accelerometer and gyroscope) at 100 Hz sampling rate. Data were epoched from -190 ms to +800 ms around stimulus onset.\n\n## How to Access via MOABB\n\nInstall MOABB and load this dataset directly:\n\n```python\nfrom moabb.datasets import BCIComp2020WalkingERP\nfrom moabb.paradigms import P300\nparadigm = P300()\n\ndataset = BCIComp2020WalkingERP()\nX, y, metadata = paradigm.get_data(dataset)\n```\n\nFor more details see the [MOABB documentation](https://moabb.neurotechx.com/) and the\n[MOABB dataset page](https://moabb.neurotechx.com/docs/generated/moabb.datasets.BCIComp2020WalkingERP.html).\n\n## Citation\n\nIf you use this dataset please cite the primary publication:\n\n> DOI: [10.3389/fnhum.2022.898300](https://doi.org/10.3389/fnhum.2022.898300)\n\n## NEMAR / MOABB Benchmark Collection\n\nThis BIDS-formatted dataset was converted from the original data using the\n[MOABB](https://moabb.neurotechx.com/) pipeline and re-hosted on\n[NEMAR](https://nemar.org/) as part of the MOABB benchmark collection.\nThe original data and license terms apply — see `dataset_description.json` for details.\n","bids_version":"1.9.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-08-22 07:44:23","zarr_store_count":45,"zarr_index_etag":"c9ad9f1b0c395e91aa9d1fc9d5decf7c","zarr_source_commit":"9446777d82acea4fef27512ecc82abac7257fa7d","archive_status":"ready","archive_size":183998080,"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":71,"n_channels":46,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":234029515,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":371,"zarr_pool_breaks":null,"total_recording_duration":9000,"recording_duration_min":120,"recording_duration_max":360,"recording_count":45,"recordings_unavailable":0,"recordings_measured":45,"channel_count_min":46,"channel_count_max":46,"sampling_frequency":100,"power_line_frequency":50,"eeg_reference":null,"placement_scheme":"10-05 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 18:15:10\",\"metadata_updated_at\":\"2026-08-18 18:18:08\",\"archive_checked_at\":\"2026-08-18 18:23:37\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-08-18 18:23:18\",\"citations_updated_at\":\"2026-09-08 03:00:47\",\"channel_montage_checked_at\":\"2026-06-28 22:56:22\",\"hed_checked_at\":\"2026-06-30 04:16:26\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-20 03:00:47\",\"recording_stats_at\":\"2026-09-02 11:31:48\",\"signal_defaults_at\":\"2026-09-02 11:42:19\"}","participants":15,"num_citations":71,"latest_version":"v1.0.3","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"224 MB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000184/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}}