{"dataset":{"id":"55221","dataset_id":"on004122","name":"BCIT Speed Control","description":"This dataset contains EEG and vehicle performance data from the BCIT Speed Control study, designed to investigate driver fatigue during extended, simulated driving tasks. Subjects performed continuous driving under cruise-controlled and manual speed conditions while EEG, steering, and lane-position data were recorded to identify biomarkers of fatigue-related performance decline. The study builds on the related Baseline Driving paradigm and contrasts fatigued driving conditions with a non-fatigued calibration session.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004122","concept_doi":"10.82901/nemar.on004122","latest_version_doi":"10.82901/nemar.on004122.v1.0.0","created_at":"2026-06-23 11:01:57","updated_at":"2026-08-19 16:26:42","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"BCIT Speed Control\",\n  \"description\": \"This dataset contains EEG and vehicle performance data from the BCIT Speed Control study, designed to investigate driver fatigue during extended, simulated driving tasks. Subjects performed continuous driving under cruise-controlled and manual speed conditions while EEG, steering, and lane-position data were recorded to identify biomarkers of fatigue-related performance decline. The study builds on the related Baseline Driving paradigm and contrasts fatigued driving conditions with a non-fatigued calibration session.\",\n  \"methods_description\": \"EEG was recorded using a BioSemi 64+8 channel system (including eye and mastoid channels) at 2048 Hz sampling rate, while driving performance was captured via a Real Time Technologies driving simulator with a video refresh rate of 900 Hz and vehicle data logging at 100 Hz. Subjects performed two 45-minute driving conditions (Speed Control A and B), differing in whether the simulator or subject controlled speed, with counterbalanced order across participants. Lateral perturbing forces were periodically applied to the vehicle, requiring corrective steering responses, and subjective fatigue was assessed using standardized scales (TIFS, KSS, VAS-F).\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Jonathan Touryan (data and curation)\": {},\n    \"Greg Apker (data)\": {},\n    \"Brent Lance (data)\": {},\n    \"Scott Kerick (data)\": {},\n    \"Anthony Ries (data)\": {},\n    \"Justin Brooks (data)\": {},\n    \"Kaleb McDowell (data)\": {},\n    \"Tony Johnson (curation)\": {},\n    \"Kay Robbins (curation)\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"Fatigue\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D005221\"\n    },\n    {\n      \"term\": \"driving simulation\"\n    },\n    {\n      \"term\": \"steering performance\"\n    },\n    {\n      \"term\": \"brain-behavior interaction\"\n    },\n    {\n      \"term\": \"biomarkers\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.3389/fnins.2014.00155.\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1016/j.physbeh.2015.05.026.\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1080/00222895.2014.959887, 10.1080/00222895.2014.959887.\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2017.02.057.\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2019.116361.\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2019.116054.\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004122\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2017.02.057\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.3389/fnins.2014.00155\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1016/j.physbeh.2015.05.026\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1080/00222895.2014.959887\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2019.116361\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2019.116054\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004122.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on004122\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Army Research Laboratory\",\n      \"award_number\": \"W911NF-10-0-0002\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"38.8 GB (83 files)\"\n  ],\n  \"formats\": [\n    \".ipynb\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".txt\",\n    \".xlsx\",\n    \".yml\"\n  ],\n  \"source_hash\": \"a71b05f647d0ffc06e2f104a16fac0d3df5a8be3ecf9cb6a948466367975bd90\"\n}","last_activity_at":"2026-06-23 11:01:57","source":"openneuro","source_id":"ds004122","subject_count":32,"modalities":"eeg","age_min":null,"age_max":null,"file_size":38827103284,"total_files":478,"tasks":"Drive","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Jonathan Touryan (data and curation), Greg Apker (data), Brent Lance (data), Scott Kerick (data), Anthony Ries (data), Justin Brooks (data), Kaleb McDowell (data), Tony Johnson (curation), Kay Robbins (curation)","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004122-blue)](https://doi.org/10.82901/nemar.on004122)\n\n## BCIT Speed Control\r\n\r\n### Introduction\r\n\r\n**Overview:** The Speed Control study was designed to collect extended time-on-task measurements of subjects\r\nperforming a driving task in a simulated environment in order to assess fatigue-based performance\r\nthrough novel biomarkers. Similar to the Baseline Driving study, the Speed Control study was intended\r\nto identify periods of driver fatigue via predictive algorithms formulated from the analysis of driver\r\nEEG data, in comparison to the objective performance measures, and in contrast with the (non-fatigued)\r\nCalibration driving session for the subject. Speed Control extended the paradigm by modulating driver\r\ncontrol of the throttle and increasing the frequency and magnitude of perturbation events vs. Baseline Driving.\r\nFurther information is available on request from [cancta.net](https://cancta.net).\r\n\r\n### Methods   \r\n\r\n**Subjects:** Volunteers from the local community recruited through advertisements.  \r\n \r\n**Apparatus:**  Driving simulator with steering wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI);\r\nVideo Refresh Rate (VRR) = 900 Hz; Vehicle data log file Sampling Rate (SR) = 100 Hz);\r\nEEG (BioSemi 64 (+8) channel systems with 4 eye and 2 mastoid channels recorded; SR=2048 Hz);\r\nEye Tracking (Sensomotoric Instruments (SMI); REDEYE250). Eye tracking data is not included with this dataset.\r\n\r\n**Initial setup:** Upon arrival to the lab, subjects were given an introduction to the primary study\r\nfor which they were recruited and provided informed consent and provided demographics information.\r\nThis was followed by a practice session, to acclimate the subject to the driving simulator.\r\nThe driving practice task lasted 10-15 min, until asymptotic performance in steering and speed\r\ncontrol was demonstrated and lack of motion sickness was reported. Subjects were then outfitted\r\nand prepped for eye tracking and EEG acquisition.\r\n\r\n**Task organization:** Subjects performed the Speed Control condition A and Speed Control condition B,\r\nwith counter-balancing used across subjects as to which of them came first.\r\n\r\nSpeed Control A was 45 minutes of continuous driving, with subjects responsible for steering control,\r\nwith the simulator maintaining a constant speed automatically.\r\n\r\nSpeed Control B was similar, but the subject was responsible for both steering and maintaining speed.\r\nBoth driving tasks were conducted on the same simulated long, straight road.\r\nIn each case, the subject was instructed to stay within the boundaries of the right-most lane,\r\nand to drive at the posted speed limits. The vehicle was periodically subject to lateral perturbing forces,\r\nwhich could be applied to either side of the vehicle, pushing the vehicle out of the center of the lane;\r\nand the subject was instructed to execute corrective steering actions to return the vehicle to the center of the lane.\r\n\r\n**Independent variables:** Speed Control (cruise vs. manual).\r\n\r\n**Dependent variables:** Reaction times to perturbations, continuous performance based on vehicle log\r\n(steering wheel angle, lane position, heading error, etc.), Task-Induced Fatigue Scale (TIFS),\r\nKarolinska Sleepiness Scale (KSS), Visual Analog Scale of Fatigue (VAS-F).\r\n\r\n**Note:** questionnaire data is available upon request from [cancta.net](https://cancta.net).\r\n\r\n**Additional data acquired:** Participant Enrollment Questionnaire, Subject Questionnaire for Current Session,\r\nSimulator Sickness Questionnaire.\r\n\r\n**Experimental Locations:** Teledyne Corporation, Durham, NC.\r\n\r\n**Note:** This dataset has a corresponding dataset in the BCIT Calibration Driving ds004118 which has the\r\n15 minute driving task performed prior to this one.","bids_version":"1.7.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"failed","zarr_converted_at":null,"zarr_store_count":null,"zarr_index_etag":null,"zarr_source_commit":null,"archive_status":"ready","archive_size":37870833284,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":63,"zarr_failure_count":63,"zarr_deterministic":1,"zarr_failed_at":"2026-08-05 21:40:31","num_dataset_citations":0,"num_datapaper_citations":41,"n_channels":64,"electrode_system":"10-10","has_hed":1,"hed_version":"8.0.0","is_exemplar":0,"bytes_present":38823194545,"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":null,"recording_duration_min":null,"recording_duration_max":null,"recording_count":null,"recordings_unavailable":null,"recordings_measured":null,"channel_count_min":null,"channel_count_max":null,"sampling_frequency":1024,"power_line_frequency":60,"eeg_reference":"CMS","placement_scheme":"Custom","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 16:26:25\",\"metadata_updated_at\":\"2026-08-19 16:26:41\",\"archive_checked_at\":\"2026-06-23 11:33:43\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-23 11:16:25\",\"citations_updated_at\":\"2026-09-08 03:00:47\",\"channel_montage_checked_at\":\"2026-06-28 23:20:32\",\"hed_checked_at\":\"2026-06-30 04:53:18\",\"data_checked_at\":\"2026-08-06 03:01:03\",\"availability_report_at\":\"2026-07-23 01:17:06\",\"recording_stats_at\":null,\"signal_defaults_at\":\"2026-09-02 12:08:11\"}","participants":32,"num_citations":41,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"36.16 GB","zarr_data_failures":{"count":63,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":null,"attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}