{"dataset":{"id":"54124","dataset_id":"on003710","name":"APPLESEED Example Dataset","description":"A longitudinal EEG dataset from 13 infants recorded at 4, 8, and 12 months of age, comprising 48 recording sessions. The dataset includes test-retest reliability assessments at 4 months (11 infants with complete longitudinal data, 2 infants with reliability data only) and was used to develop and validate APPLESEED, an automated preprocessing pipeline for estimating scale-wise entropy from pediatric EEG data. This example dataset accompanies the 2022 APPLESEED pipeline publication in Developmental Cognitive Neuroscience and demonstrates the application of entropy-based EEG analysis methods in early human development. The dataset is part of a larger longitudinal study initially described in Puglia et al. (2020).","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003710","concept_doi":"10.82901/nemar.on003710","latest_version_doi":"10.82901/nemar.on003710.v1.0.0","created_at":"2026-06-22 13:31:20","updated_at":"2026-07-10 22:19:37","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"APPLESEED Example Dataset\",\n  \"description\": \"A longitudinal EEG dataset from 13 infants recorded at 4, 8, and 12 months of age, comprising 48 recording sessions. The dataset includes test-retest reliability assessments at 4 months (11 infants with complete longitudinal data, 2 infants with reliability data only) and was used to develop and validate APPLESEED, an automated preprocessing pipeline for estimating scale-wise entropy from pediatric EEG data. This example dataset accompanies the 2022 APPLESEED pipeline publication in Developmental Cognitive Neuroscience and demonstrates the application of entropy-based EEG analysis methods in early human development. The dataset is part of a larger longitudinal study initially described in Puglia et al. (2020).\",\n  \"methods_description\": \"Longitudinal EEG recordings were collected from infants at three timepoints: 4 months (with two sessions within 1 week for test-retest reliability assessment), 8 months, and 12 months of age. The dataset includes channel location files and bin files for analysis.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Cabell L. Williams\": {},\n    \"Meghan H. Puglia\": {\n      \"orcid\": \"0000-0001-5450-0631\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"infants\"\n    },\n    {\n      \"term\": \"longitudinal study\"\n    },\n    {\n      \"term\": \"signal entropy\"\n    },\n    {\n      \"term\": \"developmental neuroscience\"\n    },\n    {\n      \"term\": \"preprocessing pipeline\"\n    },\n    {\n      \"term\": \"test-retest reliability\"\n    },\n    {\n      \"term\": \"APPLESEED\"\n    },\n    {\n      \"term\": \"pediatric\"\n    },\n    {\n      \"term\": \"entropy analysis\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on003710\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on003710\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1101/2021.07.10.450198\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1186/s12916-020-01683-x\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsPartOf\"\n    },\n    {\n      \"identifier\": \"10.1016/j.dcn.2022.101163\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds003710.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"10.9 GB (147 files)\"\n  ],\n  \"formats\": [\n    \".ced\",\n    \".eeg\",\n    \".gitattributes\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".txt\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"48b6f252e80b5e9e557094876370833a7b791747f72c42d81c71f166ce561769\"\n}","last_activity_at":"2026-06-22 13:31:20","source":"openneuro","source_id":"ds003710","subject_count":13,"modalities":"eeg","age_min":null,"age_max":null,"file_size":10934711308,"total_files":300,"tasks":"appleseedexample","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Cabell L. Williams, Meghan H. Puglia","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003710-blue)](https://doi.org/10.82901/nemar.on003710)\n\nThe APPLESEED Example Dataset\n\nThis dataset consists of longitudinal EEG recordings from 13 infants at 4, 8, and 12 months of age. Test-retest reliability was assessed at 4 months of age via two appointments (session 1 & 2) that occurred within 1 week of each other. Session 3 data was recorded at 8 months of age and session 4 data was recorded at 12 months of age. Two participants did not return for longitudinal testing at sessions 3 & 4. Therefore, the complete dataset consists of 48 recording sessions, with reliability and longitudinal data (sessions 1-4) for 11 infants (6 F), and reliability data only (sessions 1 & 2) for an additional 2 infants. A channel location file and bin file for analysis are included in the \"code\" directory.\n\nThis dataset was used to develop and validate the Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED) and is provided as an example dataset to accompany Puglia, M.H., Slobin, J.S., & Williams, C.L., 2022. The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED): Development and validation for use in pediatric populations. Developmental Cognitive Neuroscience, 101163.\n\nAPPLESEED code is available to download from https://github.com/mhpuglia/APPLESEED.\n\nThis dataset is part of a larger, ongoing longitudinal study initially described in Puglia, M.H., Krol, K.M., Missana, M., Williams, C.L., Lillard, T.S., Morris, J.P., Connelly, J.J. and Grossmann, T.,  2020. Epigenetic tuning of brain signal entropy in emergent human social behavior. BMC medicine, 18(1), pp.1-24. https://doi.org/10.1186/s12916-020-01683-x.","bids_version":"v1.6.0","sessions_count":4,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-04 18:13:46","zarr_store_count":48,"zarr_index_etag":"7f03337cd0e79a930c4274dfbaeab5f8","zarr_source_commit":"dfc685bddc3633f4e945f0affcec97b6b106777c","archive_status":"ready","archive_size":9041778597,"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":2,"num_datapaper_citations":12,"n_channels":32,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":10934295412,"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":32995.78000000001,"recording_duration_min":371.06,"recording_duration_max":1053.36,"recording_count":48,"recordings_unavailable":0,"recordings_measured":48,"channel_count_min":32,"channel_count_max":32,"sampling_frequency":5000,"power_line_frequency":60,"eeg_reference":"FCz","placement_scheme":"10-20","sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-22 13:41:03\",\"metadata_updated_at\":\"2026-06-22 13:41:03\",\"archive_checked_at\":\"2026-06-22 13:48:38\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-22 13:42:40\",\"citations_updated_at\":\"2026-09-08 03:00:49\",\"channel_montage_checked_at\":\"2026-06-28 23:14:42\",\"hed_checked_at\":\"2026-06-30 04:46:47\",\"data_checked_at\":\"2026-08-03 03:00:13\",\"availability_report_at\":\"2026-07-23 01:15:01\",\"recording_stats_at\":\"2026-09-02 11:32:32\",\"signal_defaults_at\":\"2026-09-02 12:02:45\"}","participants":13,"num_citations":14,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"10.18 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on003710/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}}