From Eccentric Force to Explosive Output: A Multidimensional Analysis of Mechanical Efficiency, Neuromuscular Strategy, and Performance Prediction in National-Level Junior Badminton Athletes Undergoing Overload Training
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This dataset supports the study titled "From Eccentric Force to Explosive Output: A Multidimensional Analysis of Mechanical Efficiency, Neuromuscular Strategy, and Performance Prediction in National-Level Junior Badminton Athletes Undergoing Overload Training". The project investigates the neuromechanical determinants of countermovement jump (CMJ) performance in youth elite badminton athletes following a six-week eccentric overload intervention. The data include force platform outputs, derived kinetic and temporal variables (e.g., eccentric peak force, impulse, RSI, SSC-Efficiency, and ETR), as well as preprocessing scripts, statistical analysis (ANOVA, LASSO, PCA, path analysis), and classification models (LDA, clustering). Raw and processed data were collected during controlled pre–post testing from 36 national-level athletes. This repository provides open access to all materials used in the study, including: Raw force platform data (CSV), Preprocessed variable matrices, Analysis scripts in Python (Jupyter notebooks), Figures (TIFF/PNG) and statistical outputs, Supplementary documentation (e.g., power analysis, variable definitions). The dataset complies with FAIR principles and is intended to support transparency, reproducibility, and further meta-analytical or educational use. All procedures were approved by the institutional ethics committee and informed consent was obtained from all participants.



