{"dataset":{"id":"58517","dataset_id":"on004635","name":"Gaffrey Lab Infant Microstates Reliability","description":"This dataset comprises continuous EEG recordings from 48 infants (5-10 months old) during passive viewing of relaxing videos, collected to establish reliability metrics for microstate analysis in infant populations. The study demonstrates microstate analysis methodology applied to infant EEG data and provides a tutorial resource for researchers interested in this analytical approach. Data were acquired using a 128-channel geodesic sensor net at 1000 Hz sampling rate.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004635","concept_doi":"10.82901/nemar.on004635","latest_version_doi":"10.82901/nemar.on004635.v1.0.0","created_at":"2026-06-25 05:31:51","updated_at":"2026-07-10 22:36:43","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Gaffrey Lab Infant Microstates Reliability\",\n  \"description\": \"This dataset comprises continuous EEG recordings from 48 infants (5-10 months old) during passive viewing of relaxing videos, collected to establish reliability metrics for microstate analysis in infant populations. The study demonstrates microstate analysis methodology applied to infant EEG data and provides a tutorial resource for researchers interested in this analytical approach. Data were acquired using a 128-channel geodesic sensor net at 1000 Hz sampling rate.\",\n  \"methods_description\": \"EEG was recorded at 1000 Hz using a 128-channel HydroCel Geodesic Sensor Net referenced to vertex (Cz). Impedances were maintained below 50 kilohms. Infants (N=48, 5-10 months, 27 male) viewed up to 15 minutes of relaxing videos (ten 90-second videos with breaks) presented via E-Prime software, with attention-grabbing stimuli preceding each video. Caregivers provided minimal intervention, redirecting attention only by pointing.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Armen Bagdasarov\": {\n      \"orcid\": \"0000-0001-9775-7787\"\n    },\n    \"Michael S. Gaffrey\": {\n      \"orcid\": \"0000-0002-9334-1079\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"microstate analysis\"\n    },\n    {\n      \"term\": \"infant brain activity\"\n    },\n    {\n      \"term\": \"electroencephalography\"\n    },\n    {\n      \"term\": \"reliability\"\n    },\n    {\n      \"term\": \"developmental neuroscience\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004635\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004635\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1007/s10548-024-01043-5\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004635.v3.1.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Charles Lafitte Foundation\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"32.8 GB (103 files)\"\n  ],\n  \"formats\": [\n    \".json\",\n    \".m\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"9a171e398bc2ab136862191f18f5c63330864388c4389161ca959053c6833da2\"\n}","last_activity_at":"2026-06-25 05:31:51","source":"openneuro","source_id":"ds004635","subject_count":48,"modalities":"eeg","age_min":5.98,"age_max":10.42,"file_size":32817662765,"total_files":351,"tasks":"resting","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Armen Bagdasarov, Michael S. Gaffrey","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004635-blue)](https://doi.org/10.82901/nemar.on004635)\n\nParticipants were 48, 5-10-month-old infants (27 male). All research was approved by the Duke University Health System Institutional Review Board and carried out in accordance with the Declaration of Helsinki. Caregivers provided informed consent, and compensation was provided for their participation. Infants sat on their caregiver’s lap and watched up to 15 minutes of relaxing videos with sound (i.e., 10, 90-second videos separated by breaks during which caregivers could play with their infant). Before each video started, an attention grabber (i.e., three-second video of a noisy rattle) directed the infant’s attention to the screen. Videos were presented with E-Prime software (Psychological Software Tools, Pittsburgh, PA). Caregivers were instructed to silently sit still during videos. If infants shifted their attention away from the screen, caregivers were permitted to re-direct their attention only by pointing to the screen. EEG was recorded at 1000 Hertz (Hz) and referenced to the vertex (channel Cz) using a 128-channel HydroCel Geodesic Sensor Net (Electrical Geodesics, Eugene, OR). Impedances were maintained below 50 kilohms throughout the EEG session. For more information, visit: https://github.com/gaffreylab/EEG-Microstate-Analysis-Tutorial/wiki                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         ","bids_version":"1.8.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-14 00:20:53","zarr_store_count":1,"zarr_index_etag":"689619a866c09e81759e04f120ba90ac","zarr_source_commit":"288912a5d20875c0d5ea333cbe37edbe2f571914","archive_status":"ready","archive_size":32181848543,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":95,"zarr_failure_count":95,"zarr_deterministic":1,"zarr_failed_at":"2026-08-14 00:20:53","num_dataset_citations":2,"num_datapaper_citations":20,"n_channels":129,"electrode_system":"egi-geodesic","has_hed":0,"hed_version":"8.1.0","is_exemplar":0,"bytes_present":32817294136,"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":1135.464,"recording_duration_min":1135.464,"recording_duration_max":1135.464,"recording_count":96,"recordings_unavailable":95,"recordings_measured":1,"channel_count_min":129,"channel_count_max":129,"sampling_frequency":1000,"power_line_frequency":60,"eeg_reference":"E129/Cz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-25 05:39:09\",\"metadata_updated_at\":\"2026-06-25 05:39:19\",\"archive_checked_at\":\"2026-06-25 05:56:20\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-25 05:40:09\",\"citations_updated_at\":\"2026-09-08 03:00:48\",\"channel_montage_checked_at\":\"2026-06-28 23:31:43\",\"hed_checked_at\":\"2026-06-30 05:04:31\",\"data_checked_at\":\"2026-08-13 03:00:53\",\"availability_report_at\":\"2026-07-23 01:20:17\",\"recording_stats_at\":\"2026-09-02 11:32:54\",\"signal_defaults_at\":\"2026-09-02 12:19:54\"}","participants":48,"num_citations":22,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"30.56 GB","zarr_data_failures":{"count":95,"detail_ref":"zarr/index.json","compacted_by":"migration_0074"},"zarr_index_url":"https://zarr.nemar.org/on004635/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}}