{"url":"/dataset/ngafid-mc","name":"NGAFID-MC","full_name":null,"description_markdown":"NGNGAFID-MC consists of over 7500 labeled flights, representing over 11,500 hours of per second flight data recorder readings of 23 sensor parameters.","description_withheld":null,"homepage":"https://www.kaggle.com/hooong/ngafid-mc-20210917","introduced_date":"2021-10-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/predictive-maintenance-for-general-aviation","title":"Predictive Maintenance for General Aviation Using Convolutional Transformers","first_author":"Hong Yang","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["NGAFID-MC"],"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."}