{"dataset":{"id":"45268","dataset_id":"on003739","name":"Perturbed beam-walking task","description":"This dataset comprises synchronized multimodal neurophysiological and biomechanical recordings from 128-channel EEG, electromyography (EMG), electrooculography (EOG), and motion capture during a perturbed beam-walking task. Participants performed four 10-minute sessions of standing or walking on a narrow balance beam while exposed to sensorimotor perturbations (visual field rotations or waist pulls). The dataset includes preprocessed EEG data with identified good channels and independent component analysis results, enabling investigation of cortical mechanisms underlying balance control and responses to perturbations.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003739","concept_doi":"10.82901/nemar.on003739","latest_version_doi":"10.82901/nemar.on003739.v1.0.0","created_at":"2026-06-19 04:57:23","updated_at":"2026-07-10 22:19:45","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Perturbed beam-walking task\",\n  \"description\": \"This dataset comprises synchronized multimodal neurophysiological and biomechanical recordings from 128-channel EEG, electromyography (EMG), electrooculography (EOG), and motion capture during a perturbed beam-walking task. Participants performed four 10-minute sessions of standing or walking on a narrow balance beam while exposed to sensorimotor perturbations (visual field rotations or waist pulls). The dataset includes preprocessed EEG data with identified good channels and independent component analysis results, enabling investigation of cortical mechanisms underlying balance control and responses to perturbations.\",\n  \"methods_description\": \"Data were collected during four same-day sessions where participants stood or walked at 0.22 m/s on a 2.5 cm tall, 12.7 cm wide treadmill-mounted balance beam. Sensorimotor perturbations consisted of virtual-reality-induced visual field rotations (0.5 seconds) or side-to-side waist pulls (1 second), with 150 balanced perturbation events per session. Synchronized recordings included 128-channel EEG, lower leg EMG, neck EMG, EOG, and motion capture data.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Steven Peterson\": {},\n    \"Daniel Ferris\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"balance control\"\n    },\n    {\n      \"term\": \"motor perturbations\"\n    },\n    {\n      \"term\": \"electromyography\"\n    },\n    {\n      \"term\": \"motion capture\"\n    },\n    {\n      \"term\": \"sensorimotor integration\"\n    },\n    {\n      \"term\": \"postural stability\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2019.05.038\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1523/ENEURO.0207-18.2018\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on003739\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on003739\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds003739.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"National Science Foundation\",\n      \"award_number\": \"DGE 1256260\"\n    },\n    {\n      \"funder_name\": \"Army Research Laboratory\",\n      \"award_number\": \"W911NF-10-2-0022\"\n    },\n    {\n      \"funder_name\": \"National Institutes of Health\",\n      \"award_number\": \"R01 NS104772\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"11.7 GB (241 files)\"\n  ],\n  \"formats\": [\n    \".fdt\",\n    \".gitattributes\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"6e7a941969bfb142a45a4aa546cb4cdfcf0080742e6807dc62d2809b468a9d83\"\n}","last_activity_at":"2026-06-19 04:57:23","source":"openneuro","source_id":"ds003739","subject_count":30,"modalities":"eeg","age_min":18,"age_max":34,"file_size":11742614520,"total_files":970,"tasks":"pullstand,pullwalk,rotatestand,rotatewalk","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Steven Peterson, Daniel Ferris","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003739-blue)](https://doi.org/10.82901/nemar.on003739)\n\nData was collected at the University of Michigan by Steven Peterson in the lab of Daniel Ferris. This study's protocol was approved by the University of Michigan Institutional Review Board and all participants provided written consent.\n\nEach data file includes synchronized 128-channel EEG, lower leg EMG, neck EMG, EOG, and motion capture data. Participants performed four 10-minute, same-day sessions where they either stood or walked at 0.22 m/s on a treadmill-mounted balance beam that was 2.5 cm tall and 12.7 cm wide.\n\nDuring each session, participants were exposed to sensorimotor perturbations (either virtual-reality-induced visual field rotations or side-to-side waist pulls, lasting 0.5 seconds and 1 second in duration, respectively). Each session involved 150 perturbation events, balanced between rotation/pull directions.\n\nWe have included the indices of all good channels for each participant in EEG.etc.good_chans of each .set file (includes non-EEG channel indices). Criteria for determining good/bad EEG channels can be found in our eNeuro publication. EEG.etc also includes the resulting ICA sphere and weight matrices when run on only the EEG channels, along with the selected good IC's that were retained for our analyses.","bids_version":"v1.6.0","sessions_count":4,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 02:43:53","zarr_store_count":120,"zarr_index_etag":"aac01f4cf5a6cb894ebd24003b71aafd","zarr_source_commit":"944f532a01590e0227dd6bc87680507837bcf143","archive_status":"ready","archive_size":10509985784,"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":1,"num_datapaper_citations":161,"n_channels":128,"electrode_system":"biosemi","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":11740561788,"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":74067.96800000002,"recording_duration_min":139.296,"recording_duration_max":687.632,"recording_count":120,"recordings_unavailable":0,"recordings_measured":120,"channel_count_min":149,"channel_count_max":149,"sampling_frequency":256,"power_line_frequency":60,"eeg_reference":"common median","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-19 05:05:13\",\"metadata_updated_at\":\"2026-06-19 05:05:16\",\"archive_checked_at\":\"2026-06-19 05:13:00\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-19 05:06:15\",\"citations_updated_at\":\"2026-09-08 03:00:46\",\"channel_montage_checked_at\":\"2026-06-28 23:14:51\",\"hed_checked_at\":\"2026-06-30 04:46:56\",\"data_checked_at\":\"2026-07-26 03:00:29\",\"availability_report_at\":\"2026-07-23 01:15:02\",\"signal_defaults_at\":\"2026-09-02 12:02:51\",\"recording_stats_at\":\"2026-09-06 03:01:03\"}","participants":30,"num_citations":162,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"10.94 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on003739/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}}