{"url":"/dataset/lora-rf","name":"LoRa RF","full_name":null,"description_markdown":"This is a large-scale RF fingerprinting dataset, collected from 25 different LoRa-enabled IoT transmitting devices using USRP B210 receivers. Our dataset consists of a large number of SigMF-compliant binary files representing the I/Q time-domain samples and their corresponding FFT-based files of LoRa transmissions.","description_withheld":null,"homepage":"https://research.engr.oregonstate.edu/hamdaoui/datasets/","introduced_date":"2022-01-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/comprehensive-rf-dataset-collection-and","title":"Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case","first_author":"Abdurrahman Elmaghbub","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["LoRa RF"],"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."}