Turfgrass species and management practices impact soccer athletes’ peak tibial accelerations and perceptions of surface firmness

Data types shared in this repository include:

a) Soil and turfgrass data: soil moisture, surface characteristics (force reduction, energy restitution, vertical deformation, Gmax hardness), and NDVI measurements.

b) Athlete biomechanics data: peak tibial accelerations captured via IMUs, processed through a data cleaning protocol involving a 50 Hz low-pass Butterworth filter applied using SciPy Signal in Python v3.10. Specific thresholds for peak detection, implemented with SciPy’s 'find_peaks' function, were set to exclude non-relevant movements like walking between activities. Thresholds were established based on activity type:
- Drop landing: minimum of 60 m/s², with left and right foot peaks within 250 ms.
- Drop jump: minimum of 105 m/s² for the first landing and 50 m/s² for the second landing, with left and right foot peaks within 250 ms and first and second landings between 450 and 1,000 ms.
- Modified acceleration-deceleration: minimum of 100 m/s².

c) Perceptual data: athlete-reported firmness ratings on a 0-10 scale per zone, assessing subjective surface feel.