{"url":"/dataset/siena-scalp-eeg-database","name":"Siena Scalp EEG Database","full_name":"Physionet Siena Scalp EEG Database","description_markdown":"The database consists of EEG recordings of 14 patients acquired at the Unit of Neurology and Neurophysiology of the University of Siena.  Subjects include 9 males (ages 25-71) and 5 females (ages 20-58). Subjects were monitored with a Video-EEG with a sampling rate of 512 Hz, with electrodes arranged on the basis of the international 10-20 System. Most of the recordings also contain 1 or 2 EKG signals. The diagnosis of epilepsy and the classification of seizures according to the criteria of the International League Against Epilepsy were performed by an expert clinician after a careful review of the clinical and electrophysiological data of each patient.","description_withheld":null,"homepage":"https://physionet.org/content/siena-scalp-eeg/1.0.0/","introduced_date":"2020-08-11","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons Attribution 4.0 International Public License","url":"https://physionet.org/content/siena-scalp-eeg/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":["Siena 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":"2026-09-25T09:33:49+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."}