Multisine signal tone and power harvesting measurements across gain and distance settings

Structured datasets are essential for advancing simultaneous wireless information and power transfer (SWIPT) research, enabling the reproducible analysis of waveform encoding and energy harvesting performance. This dataset contains experimental measurements from a point-to-point SWIPT system using multisine radio frequency waveforms, where information is encoded through the number of carriers and energy is harvested at the receiver. Measurements include harvested power and signal parameters across multiple transmitter-receiver distances, power levels, and waveform configurations. Metadata describes all experimental protocols, hardware calibration, and labeling procedures to ensure transparency and accessibility. Dataset generation combines software-defined radio transmission, rectenna-based power harvesting, and systematic parameter variation. The dataset supports machine-learning model development for signal classification and enables studies of the relationship between multisine waveform properties, classification performance, and energy transfer efficiency. It is intended for researchers who are developing wireless communication systems, low-power IoT devices, and SWIPT optimization methodologies.