{"url":"/dataset/moh","name":"Moh","full_name":"SeyedMohammad Kashani","description_markdown":"We introduce an open-source physical-layer dataset of Bluetooth Low Energy (BLE) IoT sensor devices recorded in an anechoic chamber using USRP x310.\r\nWith a 100Msps sampling rate, it covers the entire BLE spectrum,\r\nfeaturing on-body and off-body scenarios with 13 BLE devices (ESP32s) from the same manufacturer. \r\nthe goal is to study the physical layer characteristics of both on-body and off-body signals. \r\nThe dataset is also available through MongoDB with a Python tool for analysis; for more details, please visit our GitHub page.\r\nhttps://github.com/mkashani-phd/BLEWBAN_Dataset","description_withheld":null,"homepage":"https://github.com/mkashani-phd/BLEWBAN_Dataset","introduced_date":"2024-07-03","introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT Licence","url":"https://github.com/mkashani-phd/BLEWBAN_Dataset/blob/main/LICENSE"},"modalities":[{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Moh"],"data_loaders":[{"repo":"https://github.com/mkashani-phd/BLEWBAN_Dataset","url":"https://ieeexplore.ieee.org/abstract/document/10571027","frameworks":["tf","pytorch"]}],"num_papers_in_archive":0,"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."}