Efficient quality assurance and quality control for passive acoustic monitoring data: reducing and documenting false-positive and false-negative errors

Janine M. McManus, Barry G. Robinson, Steven L. Van Wilgenburg
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Abstract

Autonomous Recording Units (ARUs) are widely used to survey for a variety of taxa. This survey method allows for high spatial and temporal coverage but will typically include identification errors ...
被动声学监测数据的高效质量保证和质量控制:减少和记录假阳性和假阴性误差
自主记录装置(ARU)被广泛用于调查各种类群。这种调查方法的空间和时间覆盖率都很高,但通常会出现识别错误 ...
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