{"dataset":{"id":"49858","dataset_id":"on000247","name":"MEG-BIDS OMEGA RestingState_sample","description":"The OMEGA Resting State Sample Dataset comprises magnetoencephalography (MEG) recordings from 5 subjects during 5-minute eyes-open resting state sessions acquired at the Montreal Neurological Institute using a CTF 275 system. The dataset includes high-resolution MEG data (297+ channels at 2400 Hz sampling rate), structural T1-weighted MRI images processed with FreeSurfer, 3D head digitization, and fiducial point information organized according to the MEG-BIDS specification. This resource serves as a reference dataset for MEG preprocessing, analysis methodology development, and neuroimaging research.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on000247","concept_doi":"10.82901/nemar.on000247","latest_version_doi":"10.82901/nemar.on000247.v1.0.0","created_at":"2026-06-20 19:31:14","updated_at":"2026-07-10 22:08:09","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"MEG-BIDS OMEGA RestingState_sample\",\n  \"description\": \"The OMEGA Resting State Sample Dataset comprises magnetoencephalography (MEG) recordings from 5 subjects during 5-minute eyes-open resting state sessions acquired at the Montreal Neurological Institute using a CTF 275 system. The dataset includes high-resolution MEG data (297+ channels at 2400 Hz sampling rate), structural T1-weighted MRI images processed with FreeSurfer, 3D head digitization, and fiducial point information organized according to the MEG-BIDS specification. This resource serves as a reference dataset for MEG preprocessing, analysis methodology development, and neuroimaging research.\",\n  \"methods_description\": \"MEG data were recorded at the Montreal Neurological Institute (2012-2016) using a CTF 275 MEG system at 2400 Hz sampling rate with anti-aliasing low-pass filter at 600 Hz. The system recorded 26 MEG reference sensors, 270 MEG axial gradiometers, and 3 bipolar channels (ECG, vertical EOG, horizontal EOG). Head shape and fiducial points were obtained via 3D digitization using a Polhemus Fastrak device. Structural T1 images were acquired and processed with FreeSurfer 5.3.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Guiomar Niso\": {},\n    \"Jeremy Moreau\": {},\n    \"Elizabeth Bock\": {},\n    \"Francois Tadel\": {},\n    \"Sylvain Baillet\": {\n      \"orcid\": \"0000-0002-6762-5713\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Magnetoencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D015225\"\n    },\n    {\n      \"term\": \"MEG\"\n    },\n    {\n      \"term\": \"resting state\"\n    },\n    {\n      \"term\": \"eyes-open\"\n    },\n    {\n      \"term\": \"CTF 275\"\n    },\n    {\n      \"term\": \"head digitization\"\n    },\n    {\n      \"term\": \"fiducial points\"\n    },\n    {\n      \"term\": \"FreeSurfer\"\n    },\n    {\n      \"term\": \"BIDS\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2015.04.028. \",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on000247\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on000247\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2015.04.028\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1038/sdata.2018.110\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds000247.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Quebec Bioimaging Network\",\n      \"award_number\": \"QBIN 5886\"\n    }\n  ],\n  \"resource_type_specific\": \"Structural MRI Dataset\",\n  \"modalities\": [\n    \"anat\",\n    \"meg\"\n  ],\n  \"sizes\": [\n    \"11.3 GB (213 files)\"\n  ],\n  \"formats\": [\n    \".acq\",\n    \".annot\",\n    \".bak\",\n    \".cfg\",\n    \".cls\",\n    \".de\",\n    \".ds/BadChannels\",\n    \".dsc\",\n    \".gitattributes\",\n    \".gz\",\n    \".hc\",\n    \".hist\",\n    \".infods\",\n    \".json\",\n    \".md\",\n    \".meg4\",\n    \".mgz\",\n    \".newds\",\n    \".pial\",\n    \".pos\",\n    \".reg\",\n    \".res4\",\n    \".segments\",\n    \".tsv\",\n    \".white\",\n    \".yml\"\n  ],\n  \"source_hash\": \"a8ea35898964c663c378ab83b881749689c0f003e85325667ade7f53e24e7311\"\n}","last_activity_at":"2026-06-20 19:31:14","source":"openneuro","source_id":"ds000247","subject_count":6,"modalities":"anat,meg","age_min":21,"age_max":35,"file_size":11269210227,"total_files":284,"tasks":"noise,rest","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Guiomar Niso, Jeremy Moreau, Elizabeth Bock, Francois Tadel, Sylvain Baillet","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on000247-blue)](https://doi.org/10.82901/nemar.on000247)\n\n# OMEGA - Resting State Sample Dataset\n\n## License\n\n- This dataset was obtained from **The Open MEG Archive** (OMEGA, https://omega.bic.mni.mcgill.ca).\n\n- You are free to use all data in OMEGA for research purposes; please acknowledge its authors and cite the following reference in your publications if you have used data from OMEGA: \n\n- Niso G., Rogers C., Moreau J.T., Chen L.Y., Madjar C., Das S., Bock E., Tadel F., Evans A.C., Jolicoeur P.,  Baillet S. (2016). OMEGA: The Open MEG Archive. NeuroImage 124, 1182-1187. doi:  https://doi.org/10.1016/j.neuroimage.2015.04.028. OMEGA is available at: https://omega.bic.mni.mcgill.ca\n\n\n## Description\n \n\n**Experiment**\n\n- 5 subjects x 5 minute resting sessions, eyes open \n\n**MEG acquisition**\n\n- Recorded at the Montreal Neurological Institute in 2012-2016\n- Acquisition with CTF 275 MEG system at 2400Hz sampling rate\n- Anti-aliasing low-pass filter at 600Hz, files may be saved with or without the CTF 3rd order gradient compensation\n- Recorded channels (at least 297), include:\n  * 26 MEG reference sensors (#2-#27)\n  * 270 MEG axial gradiometers (#28-#297)\n  * 1 ECG bipolar (EEG057/#298) - Not available in the empty room recordings\n  * 1 vertical EOG bipolar (EEG058/#299) - Not available in the empty room recordings\n  * 1 horizontal EOG bipolar (EEG059/#300) - Not available in the empty room recordings \n\n**Head shape and fiducial points**\n\n- 3D digitization using a Polhemus Fastrak device driven by Brainstorm. The .pos files contain:\n  * The center of the CTF coils\n  * The anatomical references we use in Brainstorm: nasion and ears as illustrated here\n  * Around 100 head points distributed on the hard parts of the head (no soft tissues). \n\n**Subject anatomy**\n\n- Structural T1 image (defaced for anonymization purposes)\n- Processed with FreeSurfer 5.3\n- The anatomical fiducials (NAS, LPA, RPA) have already been marked and saved in the files fiducials.m \n\n\n**BIDS**\n\n- The data in this dataset has been organized according to the MEG-BIDS specification (Brain Imaging Data Structure, http://bids.neuroimaging.io) (Niso et al. 2018)\n\n- Niso G., Gorgolewski K.J., Bock E., Brooks T.L., Flandin G., Gramfort A., Henson R.N., Jas M., Litvak V., Moreau J., Oostenveld R., Schoffelen J.M., Tadel F., Wexler J., Baillet S. (2018). MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography. Scientific Data; 5, 180110. https://doi.org/10.1038/sdata.2018.110\n\n\n**Release history:**\n\n- 2016-12-01: initial release\n- 2018-07-18: release OpenNeuro ds000247 (00001 and 00002)","bids_version":"1.0.2","sessions_count":7,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-07 23:05:01","zarr_store_count":8,"zarr_index_etag":"fbb39aa72ddb58e640d861e768b94fc4","zarr_source_commit":"109463ba02ebb1ce6a4f6b5b407afaf11da66aab","archive_status":"ready","archive_size":6494349568,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":2,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":"2026-09-07 23:05:01","num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":11268795101,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":3057,"recording_duration_min":120,"recording_duration_max":600,"recording_count":10,"recordings_unavailable":2,"recordings_measured":8,"channel_count_min":297,"channel_count_max":330,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-20 19:40:44\",\"metadata_updated_at\":\"2026-06-20 19:40:44\",\"archive_checked_at\":\"2026-06-20 19:47:17\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-20 19:42:10\",\"citations_updated_at\":\"2026-09-08 03:00:53\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 04:36:15\",\"data_checked_at\":\"2026-07-27 03:00:29\",\"availability_report_at\":\"2026-07-23 01:11:28\",\"signal_defaults_at\":\"2026-09-02 11:54:13\",\"recording_stats_at\":\"2026-09-08 03:00:49\"}","participants":6,"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":"10.50 GB","zarr_data_failures":{"count":0,"detail_ref":"zarr/index.json","pending":2,"discovered":10},"zarr_index_url":"https://zarr.nemar.org/on000247/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}}