{"dataset":{"id":"59267","dataset_id":"on004841","name":"TX14","description":"The TX14 dataset comprises neuroimaging recordings collected during a local situational awareness task performed concurrently with supervisory control of a semi-autonomous vehicle. This dataset investigates the cognitive and neural correlates of human-machine interaction in military contexts, examining the trade-offs between maintaining situational awareness and vehicle control during autonomous system operation.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004841","concept_doi":"10.82901/nemar.on004841","latest_version_doi":"10.82901/nemar.on004841.v1.0.0","created_at":"2026-06-25 17:32:09","updated_at":"2026-07-10 22:39:59","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"TX14\",\n  \"description\": \"The TX14 dataset comprises neuroimaging recordings collected during a local situational awareness task performed concurrently with supervisory control of a semi-autonomous vehicle. This dataset investigates the cognitive and neural correlates of human-machine interaction in military contexts, examining the trade-offs between maintaining situational awareness and vehicle control during autonomous system operation.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Gabriella Larkin\": {},\n    \"James A. Davis\": {},\n    \"Victor Paul\": {},\n    \"Marcel Cannon\": {},\n    \"Chris Manteuffel\": {},\n    \"Ben Brewster\": {},\n    \"Tony Johnson\": {},\n    \"Mike Dunkel\": {},\n    \"Stephen Gordon\": {},\n    \"Kevin King\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"human-machine interaction\"\n    },\n    {\n      \"term\": \"situational awareness\"\n    },\n    {\n      \"term\": \"autonomous vehicles\"\n    },\n    {\n      \"term\": \"supervisory control\"\n    },\n    {\n      \"term\": \"cognitive workload\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004841\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004841\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004841.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"7.8 GB (295 files)\"\n  ],\n  \"formats\": [\n    \".fdt\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"c59072b67ed1bbc214a921047b360ad11274d7bdf2ed528ee739110cbd5b333a\"\n}","last_activity_at":"2026-06-25 17:32:09","source":"openneuro","source_id":"ds004841","subject_count":20,"modalities":"eeg","age_min":null,"age_max":null,"file_size":7846936755,"total_files":1038,"tasks":"DriveOnMission","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Gabriella Larkin, James A. Davis, Victor Paul, Marcel Cannon, Chris Manteuffel, Ben Brewster, Tony Johnson, Mike Dunkel, Stephen Gordon, Kevin King","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004841-blue)](https://doi.org/10.82901/nemar.on004841)\n\nTX14 dataset: Perform a local situational awareness task while maintaining supervisory control of a semi-autonomous vehicle. \n\nThis Army’s transition to a leaner, more agile and rapidly-deployable force requires the advent of autonomous technologies and systems, and more reliance on computers and machines. This move from traditional warfare to FCS represents a shift in the human role, as well. Technological advancement has made it so that the role of the user has been transformed from active controller to system monitor and manager, intervening only in the case of a problem. As such, the soldier’s dependency on robotics technologies, tele-operations, indirect driving and autonomy is expected to increase significantly. Additionally, although semi-autonomous driving technologies have proven beneficial in aggregate measures of local area awareness (i.e., target/threat detection) and vehicle control, it is important to understand the situational trade-offs between local area awareness and vehicle control, as situational trade-offs provide the basis for developing dynamic task allocation within Crewstations.","bids_version":"1.8.0","sessions_count":2,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-07 17:32:20","zarr_store_count":147,"zarr_index_etag":"371503b7ac12d65a3781249533782bb6","zarr_source_commit":"1c09c262af883793caf12d4af698fd082c7f9627","archive_status":"ready","archive_size":6178267132,"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":64,"electrode_system":"10-10","has_hed":1,"hed_version":"8.1.0","is_exemplar":0,"bytes_present":7844529324,"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":102404,"recording_duration_min":607,"recording_duration_max":1008,"recording_count":147,"recordings_unavailable":0,"recordings_measured":147,"channel_count_min":70,"channel_count_max":70,"sampling_frequency":256,"power_line_frequency":50,"eeg_reference":"common","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-25 17:53:48\",\"metadata_updated_at\":\"2026-06-25 17:53:48\",\"archive_checked_at\":\"2026-06-25 17:56:33\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-25 17:54:03\",\"citations_updated_at\":null,\"channel_montage_checked_at\":\"2026-06-28 23:34:04\",\"hed_checked_at\":\"2026-06-30 05:07:19\",\"data_checked_at\":\"2026-08-15 03:00:31\",\"availability_report_at\":\"2026-07-23 01:21:18\",\"recording_stats_at\":\"2026-09-02 11:32:59\",\"signal_defaults_at\":\"2026-09-02 12:21:22\"}","participants":20,"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":"7.31 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on004841/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}}