{"dataset":{"id":"58258","dataset_id":"on004625","name":"Mind in Motion Young Adults Walking Over Uneven Terrain","description":"This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, ground reaction force, and structural MRI-derived head model data from 32 young adult participants walking over uneven terrain and at varying speeds. Each participant completed two three-minute trials per condition along with a seated rest trial. The dataset is designed to support research on the neural and biomechanical correlates of walking balance and gait adaptation on irregular surfaces.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004625","concept_doi":"10.82901/nemar.on004625","latest_version_doi":"10.82901/nemar.on004625.v1.0.0","created_at":"2026-06-25 04:40:20","updated_at":"2026-08-19 07:27:21","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Mind in Motion Young Adults Walking Over Uneven Terrain\",\n  \"description\": \"This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, ground reaction force, and structural MRI-derived head model data from 32 young adult participants walking over uneven terrain and at varying speeds. Each participant completed two three-minute trials per condition along with a seated rest trial. The dataset is designed to support research on the neural and biomechanical correlates of walking balance and gait adaptation on irregular surfaces.\",\n  \"methods_description\": \"Data were collected using high-density, dual-layer EEG, neck EMG, IMU acceleration sensors, and ground reaction force platforms while participants walked over uneven terrain and at different speeds. Digitized electrode locations were recorded per subject, and head models were constructed from T1 structural MR images.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Chang Liu\": {},\n    \"Ryan J. Downey\": {},\n    \"Jacob S. Salminen\": {},\n    \"Sofia Arvelo Rojas\": {},\n    \"Erika M. Pliner\": {},\n    \"Natalie Richer\": {},\n    \"Jungyun Hwang\": {},\n    \"Yenisel Cruz-Almeida\": {},\n    \"Todd M. Manini\": {},\n    \"Chris J. Hass\": {},\n    \"Rachael D. Seidler\": {},\n    \"David J. Clark\": {},\n    \"Daniel P. Ferris\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"Electromyography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004576\"\n    },\n    {\n      \"term\": \"Gait\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D005684\"\n    },\n    {\n      \"term\": \"Walking\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D016138\"\n    },\n    {\n      \"term\": \"inertial measurement unit\"\n    },\n    {\n      \"term\": \"uneven terrain\"\n    },\n    {\n      \"term\": \"ground reaction force\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004625\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004625\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsVersionOf\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004625.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on004625\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"National Institute of Health\",\n      \"award_number\": \"U01AG061389\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"66.5 GB (1116 files)\"\n  ],\n  \"formats\": [\n    \".asv\",\n    \".fdt\",\n    \".json\",\n    \".m\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".txt\",\n    \".yml\"\n  ],\n  \"source_hash\": \"2d9dca097333c2eeffee1c148b9456128a936b79814295c33818ad368ec64fec\"\n}","last_activity_at":"2026-06-25 04:40:20","source":"openneuro","source_id":"ds004625","subject_count":32,"modalities":"eeg","age_min":20,"age_max":35,"file_size":67069115537,"total_files":3473,"tasks":"0p25,0p5,0p75,1p0,flat,high,low,med,rest","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Chang Liu, Ryan J. Downey, Jacob S. Salminen, Sofia Arvelo Rojas, Erika M. Pliner, Natalie Richer, Jungyun Hwang, Yenisel Cruz-Almeida, Todd M. Manini, Chris J. Hass, Rachael D. Seidler, David J. Clark, Daniel P. Ferris","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004625-blue)](https://doi.org/10.82901/nemar.on004625)\n\nOur dataset contains high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground reaction forces, head model constructed from T1 structural MR images from 32 participants walking over uneven terrain and at different speeds. Participants completed two trials for each condition for three minutes and a seated rest trial for three minutes. Digitized electrode locations (txt) are included in each subject folder.\n\nPlease refer to our publication for more detail. \n\nThis study was supported by the National Institute of Health (U01AG061389).","bids_version":"v1.0.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-14 01:04:09","zarr_store_count":543,"zarr_index_etag":"259b61464df63a198f3037f8c73bfe28","zarr_source_commit":"a24852aabb3271eb9582095c6bb2d0c7002af6fd","archive_status":"ready","archive_size":55193218401,"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":3,"num_datapaper_citations":0,"n_channels":120,"electrode_system":"other","has_hed":0,"hed_version":"8.1.0","is_exemplar":0,"bytes_present":66512575896,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":null,"total_recording_duration":102892.92000000006,"recording_duration_min":130.036,"recording_duration_max":250.06,"recording_count":543,"recordings_unavailable":0,"recordings_measured":543,"channel_count_min":284,"channel_count_max":375,"sampling_frequency":500,"power_line_frequency":60,"eeg_reference":"CPz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 07:27:03\",\"metadata_updated_at\":\"2026-08-19 07:27:19\",\"archive_checked_at\":\"2026-06-25 05:31:11\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-25 04:52:02\",\"citations_updated_at\":\"2026-09-08 03:00:51\",\"channel_montage_checked_at\":\"2026-06-28 23:31:25\",\"hed_checked_at\":\"2026-06-30 05:04:13\",\"data_checked_at\":\"2026-08-13 03:00:51\",\"availability_report_at\":\"2026-07-23 01:20:12\",\"recording_stats_at\":\"2026-09-02 11:32:53\",\"signal_defaults_at\":\"2026-09-02 12:18:48\"}","participants":32,"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":"62.46 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on004625/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}}