Data from: Circadian activity predicts breeding phenology in the Asian burying beetle <i>Nicrophorus nepalensis</i>

This dataset accompanies the study "Circadian Activity Predicts Breeding Phenology in the Asian Burying Beetle <i>Nicrophorus nepalensis</i>". 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