{"dataset":{"id":"60931","dataset_id":"on005448","name":"STReEF","description":"This dataset contains long-term intracranial EEG (iEEG) recordings from 13 patients with focal epilepsy, part of the larger RESPect registry collected at the University Medical Center Utrecht. Recordings include electrocorticography (5 patients) and stereo-electroencephalography (8 patients), organized according to the BIDS specification with detailed session and run metadata reflecting monitoring periods and clinical protocols such as SPESclin. The dataset supports investigations into structural and effective brain connectivity in focal epilepsy.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005448","concept_doi":"10.82901/nemar.on005448","latest_version_doi":"10.82901/nemar.on005448.v1.0.0","created_at":"2026-06-27 04:01:43","updated_at":"2026-08-19 01:38:14","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"STReEF\",\n  \"description\": \"This dataset contains long-term intracranial EEG (iEEG) recordings from 13 patients with focal epilepsy, part of the larger RESPect registry collected at the University Medical Center Utrecht. Recordings include electrocorticography (5 patients) and stereo-electroencephalography (8 patients), organized according to the BIDS specification with detailed session and run metadata reflecting monitoring periods and clinical protocols such as SPESclin. The dataset supports investigations into structural and effective brain connectivity in focal epilepsy.\",\n  \"methods_description\": \"Long-term iEEG recordings were obtained via electrocorticography or stereo-electroencephalography from patients undergoing epilepsy monitoring. Data were grouped into BIDS sessions corresponding to monitoring periods, with runs indicating day and start time of recording. Task labels denote patient state, including a specific 'SPESclin' task for clinical single pulse electrical stimulation protocols.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Jelsma S.B.\": {},\n    \"Zijlmans M.\": {},\n    \"Heijink I.B.\": {},\n    \"Hoefnagels F.W.A.\": {},\n    \"Raemakers M\": {},\n    \"Bourez-Swart M.D.\": {},\n    \"Otte W.M\": {},\n    \"van Blooijs D.\": {},\n    \"van Klink N.E.C.\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"iEEG\"\n    },\n    {\n      \"term\": \"Epilepsy\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004827\"\n    },\n    {\n      \"term\": \"Electrocorticography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D000069280\"\n    },\n    {\n      \"term\": \"Stereoelectroencephalography\"\n    },\n    {\n      \"term\": \"Brain Connectivity\"\n    },\n    {\n      \"term\": \"BIDS\"\n    },\n    {\n      \"term\": \"SPES\"\n    },\n    {\n      \"term\": \"RESPect registry\"\n    },\n    {\n      \"term\": \"Single Pulse Electrical Stimulation\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005448\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005448.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on005448\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"MING foundation\"\n    },\n    {\n      \"funder_name\": \"EpilepsieNL\",\n      \"award_number\": \"23-06\"\n    },\n    {\n      \"funder_name\": \"ERC\",\n      \"award_number\": \"803880\"\n    }\n  ],\n  \"resource_type_specific\": \"iEEG Dataset\",\n  \"modalities\": [\n    \"ieeg\"\n  ],\n  \"sizes\": [\n    \"48.0 GB (101 files)\"\n  ],\n  \"formats\": [\n    \".csv\",\n    \".eeg\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e26df61a4460e8093d5addee2c8441b001a1ead693c5b380e43a6fe282d98ec4\"\n}","last_activity_at":"2026-06-27 04:01:43","source":"openneuro","source_id":"ds005448","subject_count":13,"modalities":"ieeg","age_min":10,"age_max":50,"file_size":48025801519,"total_files":241,"tasks":"SPESclin","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Jelsma S.B., Zijlmans M., Heijink I.B., Hoefnagels F.W.A., Raemakers M, Bourez-Swart M.D., Otte W.M, van Blooijs D., van Klink N.E.C.","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005448-blue)](https://doi.org/10.82901/nemar.on005448)\n\nDataset description\nThis dataset is part of a bigger dataset of intracranial EEG (iEEG)  called RESPect (Registry for Epilepsy Surgery Patients), a dataset recorded at the University Medical Center of Utrecht, the Netherlands.\nThis dataset consists of 13 patients with long-term recordings (5 patients recorded with electrocorticography and 8 patients recorded with stereo-encephalography. For a detailed description see Jelsma S.B. et al 2024, Structural and effective brain connectivity in focal epilepsy.\n\nThis data is organized according to the Brain Imaging Data Structure specification: A community-driven specification for organizing neurophysiology data along with its metadata. For more information on this data specification, see https://bids-specification.readthedocs.io/en/stable/ \n\nEach patient has their own folder (e.g., `sub-STREEF01`) which contains the iEEG recordings of that patient, as well as the metadata to understand the raw data and event timing.\n\nIn long-term recordings, data that are recorded within one monitoring period are logically grouped in the same BIDS session and stored across runs indicating the day and time point of recording in the monitoring period. We use the optional run key-value pair to specify the day and the start time of the recording (e.g. run-021315, day 2 after implantation, which is day 1 of the monitoring period, at 13:15).\nThe task key-value pair in long-term iEEG recordings describes the patient´s state during the recording of this file. A specific task called “SPESclin“ is defined when the clinical SPES protocol has been performed.\n\nLicense\nThis dataset is made available under the Public Domain Dedication and License CC v1.0, whose full text can be found at \nhttps://creativecommons.org/publicdomain/zero/1.0/. We hope that all users will follow the ODC Attribution/Share-Alike Community Norms (http://www.opendatacommons.org/norms/odc-by-sa/). In particular, while not legally required, we hope that all users of the data will acknowledge by citing: \n1. Demuru M, van Blooijs D, Zweiphenning W, Hermes D, Leijten F, Zijlmans M, on behalf of the RESPect group. “A practical workflow for organizing clinical intraoperative and long-term iEEG data in BIDS“, published in NeuroInformatics in 2022\n2. Jelsma S.B. et al 2024, Structural and effective brain connectivity in focal epilepsy \nin any publications.\n\nCode available at: https://github.com/UMCU-EpiLAB/umcuEpi_CCEP_DTI.\n\nAcknowledgements\nWe thank the SEIN-UMCU RESPect database group (C.J.J. van Asch, L. van de Berg, S. Blok, M.D. Bourez, K.P.J. Braun, J.W. Dankbaar, C.H. Ferrier, T.A. Gebbink, P.H. Gosselaar, R. van Griethuysen, M.G.G. Hobbelink, F.W.A. Hoefnagels, N.E.C. van Klink, M.A. van ‘t Klooster, G.A.P. deKort, M.H.M. Mantione, A. Muhlebner, J.M. Ophorst, P.C. van Rijen, S.M.A. van der Salm, E.V. Schaft, M.M.J. van Schooneveld, H. Smeding, D. Sun, A. Velders, M.J.E. van Zandvoort, G.J.M. Zijlmans, E. Zuidhoek and J. Zwemmer) for their contributions and help in collecting the data.","bids_version":"Brain Imaging Data Structure Specification v1.6.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-15 19:15:18","zarr_store_count":12,"zarr_index_etag":"f9c4fe6477425f64974b34958c576487","zarr_source_commit":"b3e057ac002fa0beecd2d3d8ea0a57ed73227af9","archive_status":"ready","archive_size":27821430298,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":6,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":"2026-08-15 19:15:18","num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":48024284802,"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":26213.842999999997,"recording_duration_min":429.906,"recording_duration_max":3103.5,"recording_count":12,"recordings_unavailable":0,"recordings_measured":12,"channel_count_min":109,"channel_count_max":133,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 01:38:03\",\"metadata_updated_at\":\"2026-08-19 01:38:13\",\"archive_checked_at\":\"2026-06-27 04:38:36\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-27 04:12:44\",\"citations_updated_at\":null,\"channel_montage_checked_at\":\"2026-06-28 23:43:42\",\"hed_checked_at\":\"2026-06-30 05:18:03\",\"data_checked_at\":\"2026-08-21 03:00:19\",\"availability_report_at\":\"2026-07-23 01:24:38\",\"recording_stats_at\":\"2026-09-02 11:33:19\",\"signal_defaults_at\":\"2026-09-02 12:35:31\"}","participants":13,"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":"44.73 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on005448/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}}