A dataset of sandfly (Phlebotomus papatasi, Phlebotomus alexandri, and Phlebotomus sergenti) genital and pharyngeal images

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-10-16 DOI:10.1016/j.dib.2024.111031
Mohammad Fraiwan , Rami Mukbel , Dania Kanaan
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引用次数: 0

Abstract

Sandflies serve as carriers for numerous tropical diseases, including leishmaniasis, bartonellosis, and sandfly fever. Furthermore, sandflies are species-specific when it comes to transmitting corresponding pathogen species. Hence, accurate classification and identification of sandfly species and gender are essential for various purposes such as disease monitoring and control, population management, research and development, and epidemiological investigations. Most of the sexing and taxonomy keys are based on internal morphological features, which may lead to errors due to some features being missed by the naked eye. In this paper, we describe the process we used to collect and prepare samples of three sandfly species (Ph. alexandri, Ph. papatasi, and Ph. sergenti). The dataset described in this article contains two images per sample, representing the pharynx in the head and the genitalia in the abdomen. The dataset is organized into male and female categories for each of the three species. The sex and species were determined manually by two specialists. This dataset can be used to develop automated methods for sex identification and taxonomy. Additionally, it can be used to train students in speciation and taxonomy. To the best of our knowledge, this is the first publicly available dataset of images of this kind.
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沙蝇(Phlebotomus papatasi、Phlebotomus alexandri 和 Phlebotomus sergenti)生殖器和咽部图像数据集
沙蝇是许多热带疾病的载体,包括利什曼病、巴氏杆菌病和沙蝇热。此外,在传播相应病原体种类时,沙蝇具有物种特异性。因此,准确分类和识别沙蝇的种类和性别对于疾病监测与控制、种群管理、研究与开发以及流行病学调查等各种目的都至关重要。大多数性别鉴定和分类方法都是基于内部形态特征,这可能会因肉眼遗漏某些特征而导致错误。本文介绍了我们收集和制备三种沙蝇(Ph. alexandri、Ph. papatasi 和 Ph. sergenti)样本的过程。本文描述的数据集每个样本包含两张图片,分别代表头部的咽部和腹部的生殖器。数据集按三个物种的雌雄分类。性别和物种由两位专家人工确定。该数据集可用于开发性别鉴定和分类的自动方法。此外,它还可用于对学生进行物种分化和分类方面的培训。据我们所知,这是第一个公开的此类图像数据集。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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