{"dataset":{"id":"60158","dataset_id":"on005107","name":"FACE-DEC","description":"This dataset contains OPM-MEG recordings from a face processing study conducted at the whole-brain and sensor level. The data were originally acquired using an in-house LabVIEW acquisition system and later converted to FIF format for standardized analysis. Analyses include preprocessing, decoding, representational similarity analysis (RSA), statistical testing, and Bayesian model selection.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005107","concept_doi":"10.82901/nemar.on005107","latest_version_doi":"10.82901/nemar.on005107.v1.0.0","created_at":"2026-06-26 10:01:48","updated_at":"2026-08-19 02:03:11","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"FACE-DEC\",\n  \"description\": \"This dataset contains OPM-MEG recordings from a face processing study conducted at the whole-brain and sensor level. The data were originally acquired using an in-house LabVIEW acquisition system and later converted to FIF format for standardized analysis. Analyses include preprocessing, decoding, representational similarity analysis (RSA), statistical testing, and Bayesian model selection.\",\n  \"methods_description\": \"Data were acquired using OPM-MEG hardware, originally stored in an in-house LabVIEW format and later converted to FIF format. Sensor coordinates were approximated using positions from the Elekta layout for topographic visualization purposes only, as individual facial point clouds and structural MRIs were not collected.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Wei Xu\": {},\n    \"et al.\": {}\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\": \"OPM-MEG\"\n    },\n    {\n      \"term\": \"face processing\"\n    },\n    {\n      \"term\": \"decoding\"\n    },\n    {\n      \"term\": \"representational similarity analysis\"\n    },\n    {\n      \"term\": \"Bayesian model selection\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005107\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005107.v2.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on005107\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Neuroimaging Dataset\",\n  \"modalities\": [\n    \"beh\",\n    \"meg\"\n  ],\n  \"sizes\": [\n    \"29.6 GB (775 files)\"\n  ],\n  \"formats\": [\n    \".bmp\",\n    \".fif\",\n    \".jl\",\n    \".json\",\n    \".m\",\n    \".md\",\n    \".py\",\n    \".tsv\",\n    \".txt\",\n    \".yml\"\n  ],\n  \"source_hash\": \"fcde195fb92e5234d160615cc07d4d3b091a4048dc4425e1e4b14f110012cdaf\"\n}","last_activity_at":"2026-06-26 10:01:48","source":"openneuro","source_id":"ds005107","subject_count":21,"modalities":"beh,meg","age_min":20,"age_max":28,"file_size":29629861742,"total_files":2921,"tasks":"face","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Wei Xu, et al.","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005107-blue)](https://doi.org/10.82901/nemar.on005107)\n\nMain entrance: face_0_main\r\n\r\nPreprocessing: face_1_prep\r\n\r\nDecoding: face_2_dec\r\n\r\nRSA: face_3_rsa\r\n\r\nStatistical: face_4_stat\r\n\r\nBMS: face_6_bayes.m\r\n\r\nDuring original OPM-MEG data acquisition, individual facial point clouds and structural MRIs were not collected due to the unavailability of optical scanning equipment. Hence, all analyses were conducted at the whole-brain & sensor level. The raw data were originally stored using in-house LabVIEW format and were converted into the FIF format later. It should be noted that the sensor coordinates used were approximated by selecting corresponding locations from the Elekta layout and do not reflect the actual sensor positions (only for visualizing topographic maps). We are currently checking all the data to ensure that everything has been uploaded correctly. :)\r\n\r\nCorrespondence: weixu@mail.bnu.edu.cn\r\n","bids_version":"1.7.0","sessions_count":2,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-19 12:50:36","zarr_store_count":350,"zarr_index_etag":"4433d65a329e0e30f3e004f1c4a6d8f0","zarr_source_commit":"facd11b03a7e08fcecceeae8361b38c167ce8b33","archive_status":"ready","archive_size":23677317130,"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":1,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":29622215795,"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":113850.79999999994,"recording_duration_min":314.432,"recording_duration_max":424.44,"recording_count":350,"recordings_unavailable":0,"recordings_measured":350,"channel_count_min":65,"channel_count_max":65,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 02:02:53\",\"metadata_updated_at\":\"2026-08-19 02:03:09\",\"archive_checked_at\":\"2026-06-26 10:28:01\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-26 10:12:24\",\"citations_updated_at\":\"2026-09-08 03:00:53\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 05:11:42\",\"data_checked_at\":\"2026-08-18 03:00:19\",\"availability_report_at\":\"2026-07-23 01:22:46\",\"recording_stats_at\":\"2026-09-02 11:33:09\",\"signal_defaults_at\":\"2026-09-02 12:25:00\"}","participants":21,"num_citations":1,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"27.59 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on005107/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}}