Recovery Latency as a Dynamic Biomarker of Adaptive Capacity — Data, Code, and Supplementary Materials

Multi-dataset validation study of Recovery Latency (RL) and the Dynamic Adaptive Capacity (DAC) model. Repository contains: full manuscript (preprint), structured abstract, supplementary documentation (S1–S13), analytical scripts (Python 3.9+), dataset snapshots from Kaggle public repositories, intermediate outputs (28,472 RL events, individual slope files, DAC trajectories), and figure files. 27 datasets identified (23 unique after deduplication), ~230,000 observations across athletic, clinical, and behavioral populations.针对恢复潜伏期（Recovery Latency，RL）与动态适应能力（Dynamic Adaptive Capacity，DAC）模型的多数据集验证研究。本研究仓库包含如下内容：完整稿件（预印本）、结构化摘要、补充文档（S1至S13）、适配Python 3.9及以上版本的分析脚本、取自Kaggle公开仓库的数据集快照、中间输出结果（含28472条恢复潜伏期事件、个体斜率文件与DAC轨迹）以及图像文件。本研究共识别得到27个数据集，去重后保留23个独特数据集，涵盖运动、临床与行为科学三类人群，总计约23万条观测数据。