2 datasets found
- r
1000 Empirical Time series
- researchdata.edu.au
- figshare.com
Updated May 5, 2022
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EmailClick to copy linkLink copiedCiteBen Fulcher (2022). 1000 Empirical Time series [Dataset]. http://doi.org/10.6084/m9.figshare.5436136.v10Unique identifierhttps://doi.org/10.6084/m9.figshare.5436136.v10Dataset updatedMay 5, 2022Dataset provided byMonash UniversityAuthorsBen FulcherLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionA diverse selection of 1000 empirical time series, along with results of an hctsa feature extraction, using v1.06 of hctsa and Matlab 2019b, computed on a server at The University of Sydney.
The results of the computation are in the hctsa file, HCTSA_Empirical1000.mat for use in Matlab using v1.06 of hctsa.The same data is also provided in .csv format 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 corresponding hctsa code used to compute each feature in hctsa_masterfeatures.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.These .csv files were produced by running >>OutputToCSV(HCTSA_Empirical1000.mat,true,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 v1.06 of hctsa. - r
1000 Empirical Time series
- researchdata.edu.au
Updated Oct 11, 2017ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBen Fulcher; Ben Fulcher (2017). 1000 Empirical Time series [Dataset]. http://doi.org/10.6084/m9.figshare.5436136.v9Unique identifierhttps://doi.org/10.6084/m9.figshare.5436136.v9Dataset updatedOct 11, 2017Dataset provided byMonash UniversityAuthorsBen Fulcher; Ben FulcherLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionA 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. 
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Cite
Ben Fulcher (2022). 1000 Empirical Time series [Dataset]. http://doi.org/10.6084/m9.figshare.5436136.v10
Unique identifier
https://doi.org/10.6084/m9.figshare.5436136.v10Dataset updated
May 5, 2022Dataset provided by
Monash UniversityAuthors
Ben Fulcher License
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Description
A diverse selection of 1000 empirical time series, along with results of an hctsa feature extraction, using v1.06 of hctsa and Matlab 2019b, computed on a server at The University of Sydney.
The results of the computation are in the hctsa file, HCTSA_Empirical1000.mat for use in Matlab using v1.06 of hctsa.
The same data is also provided in .csv format 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 corresponding hctsa code used to compute each feature in hctsa_masterfeatures.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.
These .csv files were produced by running >>OutputToCSV(HCTSA_Empirical1000.mat,true,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 v1.06 of hctsa.