{"dataset":{"id":"47561","dataset_id":"nm000182","name":"Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)","description":"A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000182","concept_doi":"10.82901/nemar.nm000182","latest_version_doi":"10.82901/nemar.nm000182.v1.0.2","created_at":"2026-06-19 21:34:46","updated_at":"2026-07-10 21:52:32","zenodo_concept_id":"20777298","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)\",\n  \"description\": \"A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.\",\n  \"methods_description\": \"iEEG data were recorded from epilepsy patients using clinical electrode arrays. The dataset consists of independent 3-second single-channel clips sampled at 5000 Hz, extracted from clinical recordings and segmented into .mat archives. Clips are annotated with electrode type, anatomical location, SOZ status, and reviewer labels. Data were converted to BIDS format from the original segmented archives while preserving all clinical annotations and signal integrity.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Petr Nejedly\": {\n      \"orcid\": \"0000-0002-5382-2134\"\n    },\n    \"Vaclav Kremen\": {\n      \"orcid\": \"0000-0001-9844-7617\"\n    },\n    \"Vladimir Sladky\": {},\n    \"Jan Cimbalnik\": {},\n    \"Petr Klimes\": {},\n    \"Filip Plesinger\": {},\n    \"Filip Mivalt\": {},\n    \"Vojtech Travnicek\": {},\n    \"Ivo Viscor\": {},\n    \"Martin Pail\": {},\n    \"Josef Halamek\": {\n      \"orcid\": \"0000-0001-8986-796X\"\n    },\n    \"Benjamin Brinkmann\": {},\n    \"Milan Brazdil\": {},\n    \"Pavel Jurak\": {},\n    \"Gregory Worrell\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"intracranial EEG\"\n    },\n    {\n      \"term\": \"iEEG\"\n    },\n    {\n      \"term\": \"epilepsy\"\n    },\n    {\n      \"term\": \"seizure onset zone\"\n    },\n    {\n      \"term\": \"artifact detection\"\n    },\n    {\n      \"term\": \"signal classification\"\n    },\n    {\n      \"term\": \"neurophysiology\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1038/s41597-020-0532-5\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000182\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.6084/m9.figshare.12192405\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000182\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"iEEG Dataset\",\n  \"modalities\": [\n    \"ieeg\"\n  ],\n  \"sizes\": [\n    \"16.2 GB (818 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"3edd3738605c8ed0ad3fe9d1af0711c9b018974c5ec0e9417d3d6045853aa3e9\"\n}","last_activity_at":"2026-06-29 21:01:23","source":null,"source_id":null,"subject_count":24,"modalities":"ieeg","age_min":null,"age_max":null,"file_size":16157688672,"total_files":818,"tasks":"MachineLearningEEG","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Petr Nejedly, Vaclav Kremen, Vladimir Sladky, Jan Cimbalnik, Petr Klimes, Filip Plesinger, Filip Mivalt, Vojtech Travnicek, Ivo Viscor, Martin Pail, Josef Halamek, Benjamin Brinkmann, Milan Brazdil, Pavel Jurak, Gregory Worrell","license":"CC0","readme":"Nejedly2020 multicenter iEEG graphoelement clips (MAYO)\n\nThis BIDS dataset is converted from the public segmented .mat archives released\nwith Nejedly et al. 2020, Scientific Data:\nhttps://doi.org/10.1038/s41597-020-0532-5\n\nThe source data are independent 3 s single-channel iEEG clips. The original\nauthors also released MEF3 BIDS archives for reviewer-requested compatibility,\nbut those contain the same data as the .mat clips. This conversion therefore\nuses the segmented archives directly.\n\nLayout\n------\nEach BIDS run contains clips from one subject and one source SEEG contact,\nconcatenated at 5000 Hz. Events mark the 3 s clip boundaries and preserve the\noriginal label, segment_id, anatomy, reviewer_id, SOZ flag, and electrode type.\nThe runs are not continuous clinical recordings and should not be interpreted as\nreal time-contiguous data across clip boundaries.\n\nSubject labels preserve the original NEMAR/OpenNeuro style (for example sub-000) because this is a single-site dataset.\n\nElectrodes\n----------\nPatient-specific electrode coordinates were not released with the segmented\ndataset. Therefore electrodes.tsv keeps x/y/z as n/a while preserving contact\nnames, material, and manufacturer. Anatomy and SOZ labels are preserved per clip\nin events.tsv.\n","bids_version":"1.10.1","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 20:01:23","zarr_store_count":257,"zarr_index_etag":"dac170e18937c36ca27380353e518fa6","zarr_source_commit":"9b095b75afb51b78037a3c37de6bb304fb75a59e","archive_status":"ready","archive_size":2762511634,"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":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":null,"data_complete":null,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":465546,"recording_duration_min":9,"recording_duration_max":7830,"recording_count":257,"recordings_unavailable":0,"recordings_measured":257,"channel_count_min":1,"channel_count_max":1,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-29 21:47:00\",\"metadata_updated_at\":\"2026-06-29 21:47:30\",\"archive_checked_at\":\"2026-06-29 21:51:09\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-29 21:48:43\",\"citations_updated_at\":\"2026-09-08 03:00:53\",\"channel_montage_checked_at\":\"2026-06-28 22:56:11\",\"hed_checked_at\":\"2026-06-30 04:16:11\",\"data_checked_at\":null,\"availability_report_at\":\"2026-07-23 01:07:05\",\"signal_defaults_at\":\"2026-09-02 11:42:11\",\"recording_stats_at\":\"2026-09-07 03:00:47\"}","participants":24,"num_citations":0,"latest_version":"v1.0.2","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"15.05 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000182/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}}