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Player Heart Rate Responses and Pony External Load Measures during 16-Goal Polo

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  • Russ Best

    (Centre for Sport Science and Human Performance, Waikato Institute of Technology, Hamilton 3288, New Zealand
    School of Health and Social Care, Teesside University, Middlesbrough TS1 3BX, UK)

Abstract

This dataset provides information pertaining to the spatiotemporal stresses experienced by Polo ponies in play and the cardiovascular responses to these demands by Polo players, during 16-goal Polo. Data were collected by player-worn GPS units and paired heart rate monitors, across a New Zealand Polo season. The dataset comprises observations from 160 chukkas of Open Polo, and is presented as per chukka per game (curated) and in per effort per player (raw) formats. Data for distance, speed, and high intensity metrics are presented and are further categorised into five equine-based speed zones, in accordance with previous literature. The purpose of this dataset is to provide a detailed quantification of the load experienced by Polo players and their ponies at the highest domestic performance level in New Zealand, as well as advancing the scope of previous Polo literature that has employed GPS or heart rate monitoring technologies. This dataset may be of interest to equine scientists and trainers, veterinary practitioners, and sports scientists. An exemplar template is provided to facilitate the adoption of this data collection approach by other practitioners.

Suggested Citation

  • Russ Best, 2020. "Player Heart Rate Responses and Pony External Load Measures during 16-Goal Polo," Data, MDPI, vol. 5(2), pages 1-5, April.
    • Handle: RePEc:gam:jdataj:v:5:y:2020:i:2:p:34-:d:340491
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    References listed on IDEAS

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    1. Russ Best & Regan Standing, 2019. "All things being equal: spatiotemporal differences between Open and Women’s 16-goal Polo," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(6), pages 919-929, November.
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    Cited by:

    1. Joaquín Torres-Sospedra & Aleksandr Ometov, 2021. "Data from Smartphones and Wearables," Data, MDPI, vol. 6(5), pages 1-3, April.

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