Data from: Circadian activity predicts breeding phenology in the Asian burying beetle Nicrophorus nepalensis

This dataset accompanies the study "Circadian Activity Predicts Breeding Phenology in the Asian Burying Beetle Nicrophorus nepalensis". The repository contains all necessary data and code for reproducing the analyses of beetle breeding phenology predictions using circadian activity patterns.The dataset includes:Raw locomotor activity measurements (.txt files) with 1-minute resolutionBreeding experiment data (Pair_breeding.csv) documenting nest IDs, population sources, photoperiod treatments, and breeding successActivity measurement metadata (Loc_metadataset.csv) containing detailed experimental parameters and daily activity metrics extracted using tsfreshThe repository also includes complete analysis pipelines implemented in both Python (3.8.8) and R (4.3.1), featuring:Data preprocessing and machine learning model developmentStatistical analysesVisualization scripts for generating Shapley plots, activity pattern plots, and other figures本数据集配套于研究论文"Circadian Activity Predicts Breeding Phenology in the Asian Burying Beetle Nicrophorus nepalensis"。本仓库包含所有可复现基于昼夜活动节律模式开展的埋葬虫繁殖物候预测分析所需的数据与代码。 本数据集涵盖以下内容： 1分钟分辨率的原始运动活动测量数据（.txt格式文件） 繁殖实验数据（Pair_breeding.csv），记录了巢箱编号、种群来源、光周期（photoperiod）处理以及繁殖成功率 活动测量元数据（Loc_metadataset.csv），包含详细的实验参数以及通过tsfresh工具提取得到的每日活动指标。 本仓库同时包含基于Python（3.8.8）与R（4.3.1）实现的完整分析流程，具体包括： 数据预处理与机器学习模型开发 统计分析 用于生成夏普利（Shapley）图、活动模式图及其他可视化图表的脚本。