This website is an ongoing project to develop a comprehensive repository for research into time series classification. If you use the results or code, please cite the paper "Anthony Bagnall, Jason Lines, Aaron Bostrom, James Large and Eamonn Keogh, The Great Time Series Classification Bake Off: a Review and Experimental Evaluation of Recent Algorithmic Advances, Data Mining and Knowledge Discovery, 31(3), 2017". Paper Link, Bibtex Link.
If you want to just reference the website, please do so as: "Anthony Bagnall, Jason Lines, William Vickers and Eamonn Keogh, The UEA & UCR Time Series Classification Repository, www.timeseriesclassification.com".
The development of this website was supported by the UK Engineering and Physical Sciences grant number EP/ M015087/1. Maintaining this website requires effort that is not currently funded. We seek a sponsor who would be willing to pay a few grand per year to allow us to employ someone to maintain the site and improve the functionality. There is loads we would like to do, but just don't have the time. Sponsors will get prominent mention on this website and the UCR equivalent and acknowledgment in any papers the UEA group writes using the data.
The univariate TSC archive was relaunched in 2018 with 128 datasets.
Weka formatted ARFF files (and .txt files) (about 500 MB).
sktime formatted ts files (about 250 MB).
Weka formatted ARFF files (and .txt files) (about 2 GB).
sktime formatted ts files (about 1.5 GB).