This comprehensive list compiles collections of sports activity datasets, specifically consisting of GPX/TCX files, for use in data analysis and mining. The current collections primarily focus on activities such as cycling (also MTB), running, and triathlons.
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Fister Jr., et al. “A collection of sport activity datasets for data analysis and data mining 2017a.” Technical report 2017a, University of Maribor, 2017
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Iztok Fister Jr., Samo Rauter, Dušan Fister, Iztok Fister. “A collection of sport activity datasets with an emphasis on powermeter data.” Technical report, University of Maribor, November 2017
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Samo Rauter, Iztok Fister Jr., Iztok Fister. “A collection of sport activity files for data analysis and data mining 2016a.” Technical report 0101, University of Ljubljana and University of Maribor 2016a, 2016
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Iztok Fister Jr., Samo Rauter, Dušan Fister, Iztok Fister. “A collection of sport activity datasets for data analysis and data mining 2016b.” Technical report 2016b, University of Maribor, 2016
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Samo Rauter, Iztok Fister Jr., Iztok Fister. “A collection of sport activity files for data analysis and data mining.” Ver 12 05, University of Maribor, 2015
The GPX/TCX files can be processed with the sample code found in read_files.py.
- sport-activities-features - This Python library aids in extracting features from sports activity files.
- sport-activities-features-gui - PyQt6 based GUI application utilizes the sports-activities-features library for easy representation.
- TCXReader.jl - Julia package designed for parsing TCX files.