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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.
Issued: 2017-9-27
Created: 2020-10-02
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