{"dataset":{"id":"52923","dataset_id":"on003498","name":"interictal iEEG during slow-wave sleep with HFO markings","description":"This dataset comprises intracranial electroencephalography (iEEG) recordings from 20 subjects with marked high-frequency oscillations (HFOs) during slow-wave sleep. The data includes ripple and fast ripple events detected and validated from the original publication, with electrode contacts selected to exclude motor and language-responsive sites. The dataset has been converted to BIDS format and includes HFO event annotations in standardized TSV files, facilitating validation of HFO detection algorithms.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003498","concept_doi":"10.82901/nemar.on003498","latest_version_doi":"10.82901/nemar.on003498.v1.0.0","created_at":"2026-06-21 23:01:09","updated_at":"2026-07-10 22:15:42","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"interictal iEEG during slow-wave sleep with HFO markings\",\n  \"description\": \"This dataset comprises intracranial electroencephalography (iEEG) recordings from 20 subjects with marked high-frequency oscillations (HFOs) during slow-wave sleep. The data includes ripple and fast ripple events detected and validated from the original publication, with electrode contacts selected to exclude motor and language-responsive sites. The dataset has been converted to BIDS format and includes HFO event annotations in standardized TSV files, facilitating validation of HFO detection algorithms.\",\n  \"methods_description\": \"iEEG recordings were obtained during slow-wave sleep. Electrode contacts evoking motor or language responses during electrical stimulation were excluded. In temporal lobe epilepsy patients, only the 3 most mesial bipolar channels were included. HFO events (ripples, fast ripples) were detected and marked in the original dataset. Data conversion to BIDS format was performed using MNE-BIDS.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Fedele T\": {},\n    \"Krayenbühl N\": {},\n    \"Hilfiker P\": {},\n    \"Adam Li\": {\n      \"orcid\": \"0000-0001-8421-365X\",\n      \"affiliations\": [\n        {\n          \"name\": \"Johns Hopkins University\"\n        }\n      ]\n    },\n    \"Sarnthein J.\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"intracranial EEG\"\n    },\n    {\n      \"term\": \"high-frequency oscillations\"\n    },\n    {\n      \"term\": \"HFO detection\"\n    },\n    {\n      \"term\": \"ripples\"\n    },\n    {\n      \"term\": \"fast ripples\"\n    },\n    {\n      \"term\": \"slow-wave sleep\"\n    },\n    {\n      \"term\": \"epilepsy\"\n    },\n    {\n      \"term\": \"temporal lobe epilepsy\"\n    },\n    {\n      \"term\": \"BIDS\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds003498.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsIdenticalTo\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on003498\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on003498\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1038/s41598-017-13064-1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.5281/zenodo.4485036\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsSupplementedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0105-7\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"iEEG Dataset\",\n  \"modalities\": [\n    \"ieeg\"\n  ],\n  \"sizes\": [\n    \"47.9 GB (1185 files)\"\n  ],\n  \"formats\": [\n    \".docx\",\n    \".eeg\",\n    \".gitattributes\",\n    \".json\",\n    \".lock\",\n    \".m\",\n    \".mat\",\n    \".md\",\n    \".md5\",\n    \".pdf\",\n    \".py\",\n    \".pyc\",\n    \".tsv\",\n    \".txt\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"851de9032b579908d27461a0bf041ca8187ad3c5d2288121e87fd8604a4c779d\"\n}","last_activity_at":"2026-06-21 23:01:09","source":"openneuro","source_id":"ds003498","subject_count":20,"modalities":"ieeg","age_min":17,"age_max":52,"file_size":48040288704,"total_files":2369,"tasks":null,"metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Fedele T, Krayenbühl N, Hilfiker P, Adam Li, Sarnthein J.","license":"CC0","readme":"Zurich iEEG HFO Dataset\n====================\nThis dataset was obtained from the publication [1].\n\nThere are 20 subjects with HFO events. We converted the dataset into BIDS format. \n\nThe original uploader: adam2392 obtained explicit permission from the authors of the dataset to upload this to openneuro. Adam worked on an open-source Python implementation of HFO detection algorithms, and uses this dataset in validation. Even though the publication involves a ``Morphology`` HFO detector, we have implemented our interpretation of the RMS, LineLength and Hilbert detectors in the [mne-hfo repository] (https://github.com/adam2392/mne-hfo) [2].For more information, visit: https://github.com/adam2392/mne-hfo.\n\n# Note from the paper\n\"We excluded all electrode contacts where electrical stimulation evoked motor or language responses (Table S1).\nIn TLE patients, we included only the 3 most mesial bipolar channels\".\n\nBIDS Conversion\n-----------------------\nMNE-BIDS was used to convert the dataset into BIDS format. The code inside `code/` was used to generate the\ndata.\n\nHFO Events From Original Paper\n---------------------------------------------\nThe HFO events from the original paper that were validated and detected are stored in the `*events.tsv` file per dataset run. The format is similar to ``mne-hfo`` and can be easily read in using ``mne-bids`` and/or ``mne-python``.\n\nEach row in the events.tsv file corresponds to a HFO detected in the original source dataset. The ``trial_type`` column stores the information pertaining type of HFO (e.g. ``ripple``, ``fr`` for fast ripple, or ``frandr`` for fast ripple and ripple). The channel name (possibly in bipolar reference) is `\"-\"` character delimited and appended to the type of HFO with a `\"_\"` separating. For example: ``<hfo_type>_<channel_name>`` is the form. \n\nReference Dataset\n--------------------------\nThe following website was where the original data was downloaded.\n\nhttp://crcns.org/data-sets/methods/ieeg-1\n\nReferences\n---------------\n[1] Fedele T, Burnos S, Boran E, Krayenbühl N, Hilfiker P, Grunwald T, Sarnthein J.\nResection of high frequency oscillations predicts seizure outcome in the individual patient.\nScientific Reports. 2017;7(1):13836.\nhttps://www.nature.com/articles/s41598-017-13064-1\ndoi:10.1038/s41598-017-13064-1\n\n[2] Dataset meta analysis with mne-hfo. 10.5281/zenodo.4485036\n\n[3] Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896\n\n[4] Holdgraf, C., Appelhoff, S., Bickel, S., Bouchard, K., D'Ambrosio, S., David, O., … Hermes, D. (2019). iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology. Scientific Data, 6, 102. https://doi.org/10.1038/s41597-019-0105-7\n\n","bids_version":"1.4.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 21:56:10","zarr_store_count":385,"zarr_index_etag":"f34083c0efba18a401d2126eb6e6bd4a","zarr_source_commit":"7a03dfa16f361f2b5c27da43d5519c6fcea3532b","archive_status":"ready","archive_size":43994696347,"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":3,"num_datapaper_citations":93,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":47897193761,"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":114831.562,"recording_duration_min":63.514,"recording_duration_max":720,"recording_count":385,"recordings_unavailable":0,"recordings_measured":385,"channel_count_min":16,"channel_count_max":74,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-21 23:10:55\",\"metadata_updated_at\":\"2026-06-21 23:10:55\",\"archive_checked_at\":\"2026-06-21 23:41:35\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-21 23:12:27\",\"citations_updated_at\":\"2026-09-08 03:00:46\",\"channel_montage_checked_at\":\"2026-06-28 23:11:14\",\"hed_checked_at\":\"2026-06-30 04:42:56\",\"data_checked_at\":\"2026-07-31 03:01:08\",\"availability_report_at\":\"2026-07-23 01:13:54\",\"signal_defaults_at\":\"2026-09-02 11:59:22\",\"recording_stats_at\":\"2026-09-07 03:01:03\"}","participants":20,"num_citations":96,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"44.74 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on003498/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}}