Automated Detection and Climatological Analysis of Ripple-Scale Gravity Wave Instabilities Using a Squeeze-and-Excitation Convolutional Neural Network

This dataset contains the manually labeled ripple training dataset and the derived automated ripple event catalog used in: Hu et al., Automated Detection and Climatological Analysis of Ripple-Scale Gravity Wave Instabilities Using a Squeeze-and-Excitation Convolutional Neural Network, Submitted to EGU Atmospheric Measurement Techniques. The dataset supports reproducible machine-learning-based detection of ripple-scale gravity wave instabilities observed in mesospheric OH airglow imagery over Yucca Ridge Field Station (YRFS), Colorado (40.7°N, 104.9°W).