{"dataset":{"id":"58778","dataset_id":"on004784","name":"Phantom EEG Dataset with Motion, Muscle, and Eye Artifacts and Example Scripts","description":"This phantom EEG dataset contains recordings from an electrically conductive head model under six controlled conditions: brain-only baseline, and brain signals combined with eye, jaw muscle, neck muscle, motion, or simultaneous artifacts. The dataset includes ground truth brain signals and accompanying EEGLAB scripts for artifact detection validation and parameter optimization, supporting development and benchmarking of EEG artifact removal methods.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004784","concept_doi":"10.82901/nemar.on004784","latest_version_doi":"10.82901/nemar.on004784.v1.0.0","created_at":"2026-06-25 12:01:42","updated_at":"2026-07-10 22:38:26","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Phantom EEG Dataset with Motion, Muscle, and Eye Artifacts and Example Scripts\",\n  \"description\": \"This phantom EEG dataset contains recordings from an electrically conductive head model under six controlled conditions: brain-only baseline, and brain signals combined with eye, jaw muscle, neck muscle, motion, or simultaneous artifacts. The dataset includes ground truth brain signals and accompanying EEGLAB scripts for artifact detection validation and parameter optimization, supporting development and benchmarking of EEG artifact removal methods.\",\n  \"methods_description\": \"Data were collected from an electrically conductive head phantom under six experimental conditions: brain-only (no artifacts), brain with eye artifacts, brain with jaw muscle artifacts, brain with neck muscle artifacts, brain with motion artifacts, and brain with all artifacts simultaneously present.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Ryan J. Downey\": {\n      \"orcid\": \"0000-0002-0822-5488\"\n    },\n    \"Daniel P. Ferris\": {\n      \"orcid\": \"0000-0001-6373-6021\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"artifact removal\"\n    },\n    {\n      \"term\": \"motion artifacts\"\n    },\n    {\n      \"term\": \"muscle artifacts\"\n    },\n    {\n      \"term\": \"eye artifacts\"\n    },\n    {\n      \"term\": \"phantom\"\n    },\n    {\n      \"term\": \"signal processing\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.3390/s23198214\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004784\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004784\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004784.v1.0.4\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"9.7 GB (293 files)\"\n  ],\n  \"formats\": [\n    \".PNG\",\n    \".SLDASM\",\n    \".SLDPRT\",\n    \".STEP\",\n    \".STL\",\n    \".docx\",\n    \".fdt\",\n    \".json\",\n    \".m\",\n    \".mat\",\n    \".md\",\n    \".pdf\",\n    \".png\",\n    \".pptx\",\n    \".set\",\n    \".stl\",\n    \".tsv\",\n    \".txt\",\n    \".xlsx\",\n    \".yml\",\n    \".zip\"\n  ],\n  \"source_hash\": \"3f86585564b7195d991aac24f3b20f3880407d7d51093e17590b26f94cc391e7\"\n}","last_activity_at":"2026-06-25 12:01:42","source":"openneuro","source_id":"ds004784","subject_count":1,"modalities":"eeg","age_min":null,"age_max":null,"file_size":11621463236,"total_files":350,"tasks":"All,Brain,Eyes,Facial,Neck,Walking","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Ryan J. Downey, Daniel P. Ferris","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004784-blue)](https://doi.org/10.82901/nemar.on004784)\n\nThis phantom experiment contains data collected from a an \nelectrically conductive head phantom. Six conditions were \ntested: brain-only [no artifacts], or  brain with eye, \njaw muscle, neck muscle, or motion artifacts present, \nor brain with all artifacts simultaneously present. \nAlso contained is a copy of the iCanClean plugin for EEGLAB \nand a set of other helpful scripts that enable parameter sweep \ntesting and validation with ground truth knowledge of the brain \nsignals of interest. Please see derivatives folder and \nread the How To document within. \nA copy of iCanClean plugin is in derivatives->Scripts->plugins \nPlease see reference for methodological details \nhttps://doi.org/10.3390/s23198214 \n\n- Ryan Downey (December 20, 2023)","bids_version":"1.8.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-10 07:42:54","zarr_store_count":10,"zarr_index_etag":"e83fd011ea6d0a46c77134604595b72d","zarr_source_commit":"958b2108dd7b4e58224efa1be2cfc18d9bd07c1c","archive_status":"ready","archive_size":10055894678,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":54,"zarr_failure_count":54,"zarr_deterministic":1,"zarr_failed_at":"2026-08-10 07:42:54","num_dataset_citations":1,"num_datapaper_citations":26,"n_channels":128,"electrode_system":"other","has_hed":0,"hed_version":"8.1.0","is_exemplar":0,"bytes_present":9682395238,"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":3375,"recording_duration_min":311,"recording_duration_max":357,"recording_count":64,"recordings_unavailable":54,"recordings_measured":10,"channel_count_min":8,"channel_count_max":264,"sampling_frequency":512,"power_line_frequency":60,"eeg_reference":"CMS","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-25 12:10:18\",\"metadata_updated_at\":\"2026-06-25 12:10:25\",\"archive_checked_at\":\"2026-06-25 12:18:25\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-25 12:11:42\",\"citations_updated_at\":\"2026-09-08 03:00:48\",\"channel_montage_checked_at\":\"2026-06-28 23:32:55\",\"hed_checked_at\":\"2026-06-30 05:05:55\",\"data_checked_at\":\"2026-08-14 03:00:53\",\"availability_report_at\":\"2026-07-23 01:20:49\",\"recording_stats_at\":\"2026-09-02 11:32:56\",\"signal_defaults_at\":\"2026-09-02 12:20:13\"}","participants":1,"num_citations":27,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"10.82 GB","zarr_data_failures":{"count":54,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on004784/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}}