"EMR_Dataset_CSV"

"This dataset provides a structured collection of spectral\u2013temporal electromagnetic radiation (EMR) measurements designed for machine learning\u2013based signal classification and analysis. The dataset contains 15,000 samples distributed across five balanced classes, representing different electromagnetic signal sources or conditions. Each sample consists of 4,096 spectral\u2013temporal features, organized as measurements from 128 frequency channels observed over 32 time intervals, enabling detailed analysis of signal dynamics in both spectral and temporal domains. The dataset is intended for research in signal processing, electromagnetic environment monitoring, and artificial intelligence applications, including deep learning architectures such as CNN, RNN, and transformer-based models. It can support tasks such as source classification, anomaly detection, and intelligent spectrum monitoring, particularly in applications involving IoT sensing systems, UAV-based monitoring platforms, and wireless environment analysis."