College of Plant Protection, Hebei Agricultural University, Baoding, 071001, China.
Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Box 92, Beichen West Road, Chaoyang District, Beijing, 100101, China.
Sci Data. 2022 May 16;9(1):210. doi: 10.1038/s41597-022-01310-9.
We based the dataset in this paper on the beetle collection from the sample site of Tei Tong Tsai (Hong Kong) from 1 May to 28 May 2019, a period of high insect diversity. A total of 16,270 beetles (photographed in 318 images) from 478 species belonging to 39 families were collected. The dataset consists of the following components: The original photo of the whole sample obtained at each site with each collection method, the morphological species identification chart, a statistical table describing the species and numbers of beetles collected on different dates at different sites using three passive acquisition methods, and a statistical table describing the longitude, latitude, and altitude information of each sampling point. We aimed to provide a database for the evaluation of beetle species diversity in Hong Kong and a paradigm for the effectiveness of passive acquisition in the beetle collection through the three representative methods, thus laying a foundation for biodiversity research.
我们基于 2019 年 5 月 1 日至 5 月 28 日在大牛湖（香港）采样点采集的甲虫数据集，该时期昆虫多样性较高。共采集到 39 科 478 种 16270 只甲虫（在 318 张图像中拍摄）。该数据集包括以下组成部分：在每个地点使用每种采集方法获得的整个样本的原始照片、形态物种鉴定图、描述使用三种被动采集方法在不同日期不同地点采集的甲虫种类和数量的统计表，以及描述每个采样点的经度、纬度和海拔信息的统计表。我们旨在提供一个数据库，用于评估香港甲虫物种多样性，并通过三种代表性方法评估被动采集在甲虫采集方面的有效性，从而为生物多样性研究奠定基础。
