Extended Data Fig. 6: Acoustic seascape projections with spatially truncated training datasets.

Seascape classification is predicted at global scale using Random Forest with different training datasets, in order to evaluate how sampling bias affects model’s performance. The following training datasets are used: Complete (a), or after removing the South Indian (b), North Pacific (c), South Pacific (d), North Atlantic (e), and South Atlantic (f) ocean basins.