1000 Empirical Time series

A diverse selection of 1000 empirical time series, along with results of an hctsa feature extraction, using v1.03 of hctsa and Matlab 2019b, computed on a linux server at Sydney University.The results of the computation are in the hctsa file, HCTSA_Empirical1000.mat for use in Matlab using v1.03 of hctsa.The same data is available in .csv format (e.g., for use with non-Matlab computing environments) for the hctsa_datamatrix.csv (results of feature computation), with information about rows (time series) in hctsa_timeseries-info.csv, information about columns (features) in hctsa_features.csv and the data of individual time series (each line a time series, for time series described in hctsa_timeseries-info.csv) is in hctsa_timeseries-data.csv. Note that these files were produced by running >>OutputToCSV(HCTSA_Empirical1000.mat,true); in hctsa.The input file, INP_Empirical1000.mat, is for use with hctsa, and contains the time-series data and metadata for the 1000 time series. For example, massive feature extraction from these data on the user's machine, using hctsa, can proceed as>> TS_Init('INP_Empirical1000.mat');Some visualizations of the dataset are in CarpetPlot.png (first 1000 samples of all time series as a carpet (color) plot) and 150TS-250samples.png (conventional time-series plots of the first 250 samples of a sample of 150 time series from the dataset). More visualizations can be performed by the user using TS_PlotTimeseries from the hctsa package.See links in references for more comprehensive documentation for performing methodological comparison using this dataset, and on how to download and use v1.03 of hctsa.