全球变化增加了新出现传染病的风险,可以通过研究宿主-寄生虫相互作用来预防或减轻,除其他措施外。蝙蝠及其家科的外寄生蝇是一个很好的研究模型,但是,到目前为止,我们的知识仅限于本地范围的零散记录。为了促进研究,我们从1904年至2022年间发表的174项研究中收集了一组蝙蝠-苍蝇相互作用的数据集,加上三个原始数据集.总之,这些研究是在新热带地区的650个地点进行的,主要分布在墨西哥,巴西,阿根廷,美国南部,哥伦比亚,在其他国家中。总的来说,我们的数据集包含237种蝙蝠和255种苍蝇之间的3984个相互作用记录。记录相互作用最多的蝙蝠物种是Carolliaperspicillata(357),Artibeusjamaicensis(263),和Artibeuslituratus(228)。有记录的相互作用数量最多的苍蝇种类是毛虫(256),Aaranea巨大足月足月(235),和梅吉斯托波达·普埃纳(215)。提取了交互数据,过滤,分类协调,并以整洁的格式与蝙蝠种群的关联数据一起提供,苍蝇种群,研究参考,研究地点的抽样方法和地理信息。这种相互连接的结构可以扩展每个交互记录的信息,包括每次互动发生的地点和方式,以及涉及的蝙蝠和苍蝇的数量。我们希望BatFly能够为针对不同生态组织和空间尺度的研究开辟新的途径。这将有助于巩固有关生态专业化的知识,资源分配,病原体传播,以及广泛空间范围内寄生虫流行的驱动因素。Itmayalsohelptoanswerkeyquestionssuchas:AretheredifferencesinflypredentialormeaninfestationacrossNeotropicalecoregions?Whatecologicaldriversexplainedthosedifferences?HowdospeciallypatternsamentsintheNeotropics?我们希望BatFly能够激发旨在了解气候和土地利用变化如何影响宿主-寄生虫相互作用和疾病暴发的研究。这种研究可能有助于我们实现可持续发展目标3,良好的健康和福祉,由联合国概述。数据根据知识共享署名4.0国际许可证发布。
Global changes have increased the risk of emerging infectious diseases, which can be prevented or mitigated by studying host-parasite interactions, among other measures. Bats and their ectoparasitic flies of the families Streblidae and Nycteribiidae are an excellent study model but, so far, our knowledge has been restricted to fragmented records at a local scale. To help boost research, we assembled a data set of bat-fly interactions from 174 studies published between 1904 and 2022 plus three original data sets. Altogether, these studies were carried out at 650 sites in the Neotropics, mainly distributed in Mexico, Brazil, Argentina, southern USA, and Colombia, among other countries. In total, our data set contains 3984 interaction records between 237 bat species and 255 fly species. The bat species with the largest number of recorded interactions were Carollia perspicillata (357), Artibeus jamaicensis (263), and Artibeus lituratus (228). The fly species with the largest number of recorded interactions were Trichobius joblingi (256), Megistopoda aranea (235), and Megistopoda proxima (215). The interaction data were extracted, filtered, taxonomically harmonized, and made available in a tidy format together with linked data on bat population, fly population, study reference, sampling methods and geographic information from the study sites. This interconnected structure enables the expansion of information for each interaction record, encompassing where and how each interaction occurred, as well as the number of bats and flies involved. We expect BatFly to open new avenues for research focused on different levels of ecological organization and spatial scales. It will help consolidate knowledge about ecological specialization, resource distribution, pathogen transmission, and the drivers of parasite prevalence over a broad spatial range. It may also help to answer key questions such as: Are there differences in fly prevalence or mean infestation across Neotropical ecoregions? What ecological drivers explain those differences? How do specialization patterns vary among fly species in the Neotropics? Furthermore, we expect BatFly to inspire research aimed at understanding how climate and land-use changes may impact host-parasite interactions and disease outbreaks. This kind of research may help us reach Sustainable Development Goal 3, Good Health and Wellbeing, outlined by the United Nations. The data are released under a Creative Commons Attribution 4.0 International License.