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Dryad

Acoustic recordings and corresponding mammal, bird, human activity, vegetation, and climate data from a tropical forest landscape

Abstract

Obtaining and analysing sound data can be a tedious and lengthy process. We present sound data consisting of 38,065 1-minute sound recordings obtained in three sites within a rainforest landscape in southeast Cameroon. The sites differ in anthropogenic disturbance. We also present meta data corresponding to 20,485 of these recordings with the identification of all animal vocalisations in each 1-minute sound recording. Additionally, we provide a raw database with data on habitat, human activities, remoteness, accessibility, temperature, humidity, rainfall, moon phase, and mammal and bird observations in the area during the recording period. The data were used by Diepstraten & Willie (2021) to investigate the structure and drivers of biological sounds along a disturbance gradient. The data contribute to call libraries of tropical species and can also be used to build classifiers for automatic detection and classification of animal vocalisations.