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