https://github.com/firefly-cpp/sports-activity-dataset-collections

https://github.com/firefly-cpp/sports-activity-dataset-collections

Last synced: 6 months ago
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• Host: GitHub
• URL: https://github.com/firefly-cpp/sports-activity-dataset-collections
• Owner: firefly-cpp
• Created: 2023-07-02T14:05:04.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-04-10T20:43:36.000Z (about 2 years ago)
• Last Synced: 2024-12-29T09:13:54.856Z (over 1 year ago)
• Language: Python
• Size: 1.02 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Citation: CITATION.cff

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README

          
# A collection of sport activity datasets for data analysis and data mining

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10444711.svg)](https://doi.org/10.5281/zenodo.10444711)

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.

## Cycling/Running/Triathlon datasets

- Fister Jr., et al. “[A collection of sport activity datasets for data analysis and data mining 2017a](http://iztok-jr-fister.eu/static/publications/Sport4.zip).” Technical report 2017a, University of Maribor, 2017

- Iztok Fister Jr., Samo Rauter, Dušan Fister, Iztok Fister. “[A collection of sport activity datasets with an emphasis on powermeter data](http://iztok-jr-fister.eu/static/publications/Sport5.zip).” Technical report, University of Maribor, November 2017

- Samo Rauter, Iztok Fister Jr., Iztok Fister. “[A collection of sport activity files for data analysis and data mining 2016a](http://iztok-jr-fister.eu/static/css/datasets/Sport2.zip).” Technical report 0101, University of Ljubljana and University of Maribor 2016a, 2016

- Iztok Fister Jr., Samo Rauter, Dušan Fister, Iztok Fister. “[A collection of sport activity datasets for data analysis and data mining 2016b](http://iztok-jr-fister.eu/static/publications/Sport3.zip).” Technical report 2016b, University of Maribor, 2016

- Samo Rauter, Iztok Fister Jr., Iztok Fister. “[A collection of sport activity files for data analysis and data mining](http://iztok-jr-fister.eu/static/css/datasets/Sport.zip).” Ver 12 05, University of Maribor, 2015

## How to Utilize These Datasets

The GPX/TCX files can be processed with the sample code found in [read_files.py](https://github.com/firefly-cpp/sports-activity-dataset-collections/blob/main/read_files.py).

### Projects for viewing the datasets

- [sport-activities-features](https://github.com/firefly-cpp/sport-activities-features) - This Python library aids in extracting features from sports activity files.

- [sport-activities-features-gui](https://github.com/firefly-cpp/sport-activities-features-gui) - PyQt6 based GUI application utilizes the sports-activities-features library for easy representation.

- [TCXReader.jl](https://github.com/firefly-cpp/TCXReader.jl) -  Julia package designed for parsing TCX files.