{"dataset":{"id":"55889","dataset_id":"on004264","name":"Steer the Ship","description":"This dataset comprises electroencephalography (EEG) recordings from 21 participants performing a dynamic ship-steering task under four noise conditions: no noise, environmental noise only, controller noise only, and combined environmental and controller noise. Participants controlled a centrally presented rotating arrow to maintain target orientation while experiencing manipulated levels of environmental and controller noise. The task employed unstable dynamics based on the pole-and-cart problem, with performance measured by proximity to target and crash avoidance. This dataset provides rich behavioral and neural data for investigating decision-making, motor control, and adaptation under uncertainty. Note: Participant 12 should be excluded from event-locked analyses due to bad triggers (trigger cable was partially disconnected). The reaction time for the first button press in each round is not recorded in the standard event markers but is available in the participantActions column.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004264","concept_doi":"10.82901/nemar.on004264","latest_version_doi":"10.82901/nemar.on004264.v1.0.0","created_at":"2026-06-23 20:31:46","updated_at":"2026-07-10 22:27:40","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Steer the Ship\",\n  \"description\": \"This dataset comprises electroencephalography (EEG) recordings from 21 participants performing a dynamic ship-steering task under four noise conditions: no noise, environmental noise only, controller noise only, and combined environmental and controller noise. Participants controlled a centrally presented rotating arrow to maintain target orientation while experiencing manipulated levels of environmental and controller noise. The task employed unstable dynamics based on the pole-and-cart problem, with performance measured by proximity to target and crash avoidance. This dataset provides rich behavioral and neural data for investigating decision-making, motor control, and adaptation under uncertainty. Note: Participant 12 should be excluded from event-locked analyses due to bad triggers (trigger cable was partially disconnected). The reaction time for the first button press in each round is not recorded in the standard event markers but is available in the participantActions column.\",\n  \"methods_description\": \"Participants performed a ship-steering task using keyboard controls ('f' and 'j' keys) to apply clockwise or counterclockwise angular force. Four noise conditions were presented: no noise, environmental noise only, controller noise only, and combined environmental and controller noise. Each round lasted up to 1 minute with points accumulated based on mean distance to target. EEG was recorded with event markers indicating condition cues, round starts, button presses, crashes, and successes.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Cameron D. Hassall\": {},\n    \"Yan Yan\": {},\n    \"Laurence T. Hunt\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"motor control\"\n    },\n    {\n      \"term\": \"decision-making\"\n    },\n    {\n      \"term\": \"noise\"\n    },\n    {\n      \"term\": \"sensorimotor learning\"\n    },\n    {\n      \"term\": \"uncertainty\"\n    },\n    {\n      \"term\": \"ship-steering task\"\n    },\n    {\n      \"term\": \"tracking task\"\n    },\n    {\n      \"term\": \"unstable dynamics\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004264\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004264\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004264\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsVersionOf\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004264.v1.1.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Neuroimaging Dataset\",\n  \"modalities\": [\n    \"beh\",\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"3.5 GB (90 files)\"\n  ],\n  \"formats\": [\n    \".PNG\",\n    \".eeg\",\n    \".json\",\n    \".m\",\n    \".md\",\n    \".psyexp\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e353be1ebab180ccd439cf4f78d3f729503e2f161c9666f64ea541c48f40e6bb\"\n}","last_activity_at":"2026-06-23 20:31:46","source":"openneuro","source_id":"ds004264","subject_count":21,"modalities":"beh,eeg","age_min":21,"age_max":41,"file_size":3546310945,"total_files":203,"tasks":"steertheship","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Cameron D. Hassall, Yan Yan, Laurence T. Hunt","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004264-blue)](https://doi.org/10.82901/nemar.on004264)\n\n# Steer the Ship\n\nTwenty-one participants learned to control the trajectory of a ship, represented by centrally presented rotating arrow. Prior to each round participants were cued about the degree of controller and environmental noise (\"wind\") they would experience. During the round, participants pressed the 'f' and 'j' keys to apply angular force in either a clockwise or counterclockwise direction. The goal of the task was to keep the ship closely oriented towards a target. Points were accumulated depending on the mean distance to target. The ship would crash if it strayed too far from the target (and the round would end). Each round lasted up to 1 minute. The underlying physics were based on the pole-and-cart problem (i.e., unstable).  \n\nThere were four noise conditions:  \n1: No noise  \n2: Environmental noise only (ship occasionally moved on its own)  \n3: Controller noise only (amount of force varied)  \n4: Environmental and controller noise  \n\nParticipant 12 should be excluded from event-locked analyses due to bad triggers (trigger cable was partially disconnected).  \n\nAlso note that the RT for the first button press in each round is not recorded (but is recorded in the participantActions column).\n\nTrigger Modifiers (added to condition numbers)  \nAdd 0: Condition cue  \nAdd 10: Start of round  \nAdd 20: Left button press  \nAdd 30: Right button press  \nAdd 40: Left button press (computer)  \nAdd 50: Right button press (computer)  \nAdd 60: Crash  \nAdd 70: Success (reached 1 minute of play)  \nAdd 80: Points displayed    \n﻿\n","bids_version":"1.2.1","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-05 14:27:41","zarr_store_count":21,"zarr_index_etag":"0c40509f3dbfaad96f54a217d602a311","zarr_source_commit":"e603f00d20b3d33851b0bef3a88edafb7956ce0f","archive_status":"ready","archive_size":2282573912,"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":0,"n_channels":31,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":3544216884,"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":26858,"recording_duration_min":1156.86,"recording_duration_max":1454.54,"recording_count":21,"recordings_unavailable":0,"recordings_measured":21,"channel_count_min":31,"channel_count_max":31,"sampling_frequency":1000,"power_line_frequency":50,"eeg_reference":"Fz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-23 20:39:22\",\"metadata_updated_at\":\"2026-06-23 20:39:32\",\"archive_checked_at\":\"2026-06-23 20:41:54\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-23 20:41:50\",\"citations_updated_at\":null,\"channel_montage_checked_at\":\"2026-06-28 23:22:09\",\"hed_checked_at\":\"2026-06-30 04:55:08\",\"data_checked_at\":\"2026-08-08 03:00:48\",\"availability_report_at\":\"2026-07-23 01:17:42\",\"recording_stats_at\":\"2026-09-02 11:32:40\",\"signal_defaults_at\":\"2026-09-02 12:09:30\"}","participants":21,"num_citations":0,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"3.30 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on004264/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}}