AMC Dataset — Unified Magnetic Field and Kinetic Energy Dataset - PHASE 2 - (Identical AMC model used in Case Study 3)

This dataset contains synchronized time-series data from the Active Magnetic Cradle (AMC) Case Study 3, integrating magnetometer readings and kinetic energy waveforms. It provides the foundation for carrier frequency extraction, energy crossover detection, and analysis of field-gated oscillation patterns. The data includes: - Normalized angular displacement of magnets A and B- Total kinetic energy and kinetic energy differential- Magnetic field magnitude (|B|) and zero-centered magnetic field- Derived 2.5-cycle crossover markers This unified CSV file serves as the primary dataset for: - Carrier frequency extraction- Field-gated kinetic energy analysis- 2.5-cycle energy handover identification Each row corresponds to a discrete time point during the AMC oscillation, and all data has been pre-aligned for phase-matched comparison between kinetic and magnetic behaviors. --- **Column Glossary:** - `t`: Time (seconds)- `x_A`: Normalized horizontal displacement of Magnet A- `x_B`: Normalized horizontal displacement of Magnet B- `mag_x (µT)`: Magnetic field in x-axis (microtesla)- `mag_y (µT)`: Magnetic field in y-axis (microtesla)- `mag_z (µT)`: Magnetic field in z-axis (microtesla)- `mag_abs (µT)`: Magnitude of 3D magnetic field vector (|B|, microtesla)- `v_A`: Velocity of Magnet A (derived)- `v_B`: Velocity of Magnet B (derived)- `KE_A`: Kinetic energy of Magnet A (arbitrary units)- `KE_B`: Kinetic energy of Magnet B (arbitrary units)- `KE_total`: Total kinetic energy (KE_A + KE_B) --- This CSV dataset supports the analysis and results presented in the preprint: **“AMC 2.5-Cycle Handover and Carrier Frequency in Coupled Magnetic Pendula: PHASE 2”** Zenodo DOI: This file is directly usable with the Python code provided in Appendix A of that publication. It can also be used for independent exploratory analysis in experimental nonlinear oscillation systems, magnetic coupling behavior, or oscillatory memory models.