{"url":"/dataset/mtic","name":"MTic","full_name":"MADHAVLab Tic","description_markdown":"Periodic Tic sounds (T0=1s) sampled at 16kHz with duration of nearly 10s.","description_withheld":null,"homepage":"https://github.com/madhavlab/2022_syncnet/tree/main/data/M_Tic","introduced_date":"2022-03-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/syncnet-using-causal-convolutions-and","title":"SyncNet: Using Causal Convolutions and Correlating Objective for Time Delay Estimation in Audio Signals","first_author":"Akshay Raina","url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Time Offset Calibration","url":"/task/time-offset-calibration","datasets_with_task":"/datasets/task/time-offset-calibration"},{"name":"Time Series Alignment","url":"/task/time-series-alignment","datasets_with_task":"/datasets/task/time-series-alignment"}],"languages":[],"variants":["MTic"],"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."}