{"url":"/dataset/bids-chb-mit-scalp-eeg-database","name":"BIDS CHB-MIT Scalp EEG Database","full_name":null,"description_markdown":"This dataset is a BIDS-compatible version of the CHB-MIT Scalp EEG Database. It reorganizes the file structure to comply with the BIDS specification. To this effect:\r\n\r\n    The data from subject chb21 was moved to sub-01/ses-02.\r\n    Metadata was organized according to BIDS.\r\n    Data in the EEG edf files was modified to keep only the 18 channels from a double banana bipolar montage.\r\n    Annotations were formatted as BIDS-score compatible `tsv` files.","description_withheld":null,"homepage":"https://zenodo.org/records/10259996","introduced_date":"2023-12-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/szcore-a-seizure-community-open-source","title":"SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms","first_author":"Jonathan Dan","url":null},"license":{"name":"Open Data Commons Attribution License v1.0","url":"https://physionet.org/content/chbmit/view-license/1.0.0/"},"modalities":[{"name":"Medical","url":"/datasets/modality/medical"},{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"EEG","url":"/datasets/modality/eeg"}],"tasks":[{"name":"Seizure Detection","url":"/task/seizure-detection","datasets_with_task":"/datasets/task/seizure-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["BIDS CHB-MIT Scalp EEG Database"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}