Data for Loosen Attention Experiments

This comprehensive dataset combines all-sky auroral observations with high-resolution small-scale auroral data and is a valuable resource for space weather research, magnetospheric studies and atmospheric science. The captured all-sky dataset classifies auroral displays into four different morphological types: arcs (smooth, curtain-like structures), folds (folded, undulating structures), radial corona (ray projections from a central point) and hotspots (locally bright regions). The accompanying small-scale dataset provides detailed images of fine auroral structures, which help to analyse microphysical processes. The dataset supports the training of machine learning models for auroral classification and auroral target detection.