Short- and Mid-Term Adaptations to Plyometric vs. Strength Training in Elite Soccer: A Randomized Crossover Study With Follow-Up and Machine Learning Classification

This dataset accompanies a randomized crossover study investigating the short- and mid-term neuromuscular adaptations following plyometric and maximal strength training in elite soccer players. The data include raw performance values (CMJ, RFD, power), training load indicators (RPE, DOMS, HRV), machine learning classification labels, and retention indices across a 12-week intervention protocol. Machine learning and PCA scripts are included to support reproducibility.The study was conducted at the Gdańsk University of Physical Education and Sport, Faculty of Physical Culture, and approved by the Bioethical Committee of the Academy of Physical Education in Katowice (Resolution No. 3/2021).本数据集配套一项随机交叉试验，该试验旨在探究精英足球运动员接受超等长训练与最大力量训练后，短期及中期的神经肌肉适应性变化。数据集包含原始运动表现指标（反向跳跃（Countermovement Jump, CMJ）、力量发展速率（Rate of Force Development, RFD）、功率输出）、训练负荷指标（自觉劳累分级（Rating of Perceived Exertion, RPE）、延迟性肌肉酸痛（Delayed Onset Muscle Soreness, DOMS）、心率变异性（Heart Rate Variability, HRV））、机器学习分类标签，以及覆盖12周干预方案的保持指数。为保障研究可重复性，数据集附带机器学习与主成分分析（Principal Component Analysis, PCA）脚本。本研究于格但斯克体育教育大学体育学院开展，并经卡托维兹体育学院生物伦理委员会批准（第3/2021号决议）。