Same signals, different signatures: Multi-level acoustic distinctiveness in two distinct anurans
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This repository contains data and code associated with a study investigating acoustic distinctiveness and its potential for individual acoustic recognition in two ecologically distinct anuran species. We analyzed acoustic variation using both traditional approaches and machine learning classification methods to assess acoustic distinctiveness across multiple spatial and biological levels.
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Zenodo创建时间:
2026-08-04



