{"dataset":{"id":"61175","dataset_id":"on006525","name":"Resting EEG","description":"This dataset contains resting-state EEG recordings collected using a 128-channel Amps 300 amplifier at the University of Oklahoma, alongside structural MRI scans acquired from the same participants. The data support investigation of whole-brain electrophysiological functional connectivity dynamics during resting-state conditions.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on006525","concept_doi":"10.82901/nemar.on006525","latest_version_doi":"10.82901/nemar.on006525.v1.0.0","created_at":"2026-06-29 03:31:39","updated_at":"2026-08-19 00:34:19","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Resting EEG\",\n  \"description\": \"This dataset contains resting-state EEG recordings collected using a 128-channel Amps 300 amplifier at the University of Oklahoma, alongside structural MRI scans acquired from the same participants. The data support investigation of whole-brain electrophysiological functional connectivity dynamics during resting-state conditions.\",\n  \"methods_description\": \"EEG data were recorded with a 128-channel Amps 300 amplifier (Electrical Geodesics Inc.) at 1000 Hz sampling rate during resting state. Structural MRI was acquired using a GE MR750 scanner with GE's BRAVO sequence (FOV=240mm, 180 axial slices per slab). Preprocessing in EEGLAB included band-pass filtering (0.5-100 Hz), notch filtering (58-62 Hz), removal of noisy channels and artifacts (eye blinks, muscle movements, heartbeats), interpolation of bad channels, re-referencing to the average of all electrodes, and downsampling to 250 Hz. No data segments were removed to preserve continuity.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Computational Neuroimaging and Neuroengineering Lab ar the University of Oklahoma\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"resting state\"\n    },\n    {\n      \"term\": \"functional connectivity\"\n    },\n    {\n      \"term\": \"structural MRI\"\n    },\n    {\n      \"term\": \"electrophysiology\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds006525.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006525\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on006525\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1088/1741-2552/ab7ad3\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2022.119461\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsReferencedBy\"\n    },\n    {\n      \"identifier\": \"10.1016/j.neuroimage.2025.121408\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsReferencedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"OPTIONAL. List of sources of funding (grant numbers)\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"Structural MRI Dataset\",\n  \"modalities\": [\n    \"anat\",\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"3.2 GB (69 files)\"\n  ],\n  \"formats\": [\n    \".gz\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"55b3b0e4a23cc9247ae1c38cab606e24c3f1b93e741ab25761d2598909602790\"\n}","last_activity_at":"2026-06-29 03:31:39","source":"openneuro","source_id":"ds006525","subject_count":34,"modalities":"anat,eeg","age_min":null,"age_max":null,"file_size":3223160581,"total_files":315,"tasks":"rest,resting","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Computational Neuroimaging and Neuroengineering Lab ar the University of Oklahoma","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006525-blue)](https://doi.org/10.82901/nemar.on006525)\n\nIntroduction: The EEG data was recorded using the 128-channel Amps 300 amplifier (Electrical Geodesics Inc., OR, USA) at a sampling frequency of 1000 Hz. \nThe EEG data acquisition was conducted  during the resting.\nStructural MRI data for the same participants were acquired at the University of Oklahoma Health Science Center (OUHSC) MRI facility using a GE MR750 scanner. The scans were obtained with GE’s BRAVO sequence, with a field of view (FOV) of 240 mm and 180 axial slices per slab\n\nPreprocessing in EEGLAB: After the data acquisition, a band-pass filter (0.5–100 Hz) and a notch filter (58–62 Hz) were applied to remove noise. \nNoisy channels and artifacts (e.g., from eye blinks, muscle movements, or heartbeats) were identified and removed. \nBad channels were replaced using interpolation, and the data was re-referenced to the average of all electrodes. \nThe data was then sampled down to 250 Hz to reduce file size while keeping enough detail. No data segments were removed to ensure the continuity needed for later analysis. \n\n\n\n","bids_version":"1.8.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-24 08:19:58","zarr_store_count":34,"zarr_index_etag":"66f0f952410825d550f68c20ef9f6d4d","zarr_source_commit":"a055383e91ab9f6a78ac504c139bf8cb21bc9098","archive_status":"ready","archive_size":2962389211,"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":128,"electrode_system":"other","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":3222302243,"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":20549.759999999995,"recording_duration_min":604.4,"recording_duration_max":604.408,"recording_count":34,"recordings_unavailable":0,"recordings_measured":34,"channel_count_min":128,"channel_count_max":128,"sampling_frequency":250,"power_line_frequency":60,"eeg_reference":"IEF","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 00:34:05\",\"metadata_updated_at\":\"2026-08-19 00:34:18\",\"archive_checked_at\":\"2026-06-29 03:43:37\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-29 03:43:27\",\"citations_updated_at\":\"2026-09-08 03:00:54\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 05:35:23\",\"data_checked_at\":\"2026-08-28 03:00:29\",\"availability_report_at\":\"2026-07-23 01:29:33\",\"recording_stats_at\":\"2026-09-02 11:33:43\",\"signal_defaults_at\":\"2026-09-02 12:46:48\"}","participants":34,"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":"3.00 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on006525/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}}