Source code and data for: Subcarrier-resolved signal-to-noise ratio supports simultaneous underwater optical communication and calibrated microalgal density sensing

This repository contains the source code supporting the manuscript:"Subcarrier-resolved signal-to-noise ratio supports simultaneous underwater optical communication and calibrated microalgal density sensing" Code files included:1. Mie_scattering code.docx (Python) Mie-scattering-based physical model simulating particle-density-dependent optical power attenuation and SNR degradation.2. NN_greedy_subcarrier_selection_core_code.docx (Python) Leakage-free greedy subcarrier selection algorithm with LOOCV for microalgal density estimation using subcarrier SNR features.3. numerical_model_in Fig. 7_core_code.docx (Python) Numerical model for Figure 7: subcarrier-resolved BER profiles, capacity–density relationship, and communication–sensing trade-off analysis.4. OFDM_SNR_core.docx (MATLAB) Core OFDM receiver processing for per-subcarrier and mean dB-SNR extraction, including synchronization, demodulation, equalization, and SNR estimation. Source data files included:1.source data.xlsxThe source data underlying Figs. 2–7 and Supplementary Figs. 1–5