{"url":"/dataset/artificial-signal-data-for-signal-alignment","name":"Artificial signal data for signal alignment testing","full_name":null,"description_markdown":"This is a set of signals-pairs, univariate and multivariate, that can be used to test alignment algorithms.\r\nSignals are morphologically different.\r\n\r\nSignal data is synchronized, but the provided timestamp is shifted with small time-jumps.","description_withheld":null,"homepage":"https://zenodo.org/record/4522133#.YMhd0DqxWrw","introduced_date":"2021-06-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-canonical-correlation-alignment-for","title":"Deep Canonical Correlation Alignment for Sensor Signals","first_author":"Narayan Schütz","url":null},"license":{"name":"CC BY","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[],"tasks":[{"name":"Time Series Alignment","url":"/task/time-series-alignment","datasets_with_task":"/datasets/task/time-series-alignment"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Artificial signal data for signal alignment testing"],"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."}