SERF Acoustic Study data annotations

This dataset is the tagged csv file resulting from a study investigating the effectiveness of acoustic sensors compared to traditional field survey methods. Sensor networks were developed for observing and assessing the environmental and ecological systems at Samford Ecological Research Facility (SERF). Audio data can be retrieved by date and time period and by searching annotation tags which have been applied to the audio recordings (for example it is possible to search for all audio samples tagged with Kookaburra). Researchers can download audio files and csv files containing information about the tags specified in the search. The 'tag' file includes: Tag Name,Start Time,End Time,Max Frequency (hz), Min Frequency (hz),Project Site, Sensor Name, Score and a link to the specific audio sample associated with the individual tag.

本数据集为由一项研究生成之标记化 CSV 文件，旨在探究声学传感器与传统现场调查方法的有效性。该研究开发了一套传感器网络，用以观察与评估位于 Samford 生态研究设施（SERF）的环境与生态系统。音频数据可按日期与时间段检索，亦可通过音频记录的标注标签进行搜索（例如，可搜索所有标注为 Kookaburra 的音频样本）。研究人员可下载音频文件及包含搜索指定标签信息的 CSV 文件。'tag' 文件包含以下信息：标签名称、起始时间、结束时间、最大频率（Hz）、最小频率（Hz）、项目地点、传感器名称、评分以及与单个标签关联的特定音频样本的链接。