Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible.

Biodiversity data, particularly species occurrence and abundance, are indispensable for testing empirical hypothesis in natural sciences. However, datasets built for research programmes do not often meet FAIR (findable, accessible, interoperable and reusable) principles, which raises questions about data quality, accuracy and availability. The 21 century has markedly been a new era for data science and analytics and every effort to aggregate, standardise, filter and share biodiversity data from multiple sources have become increasingly necessary.

Bat flies (Diptera: Streblidae, Nycteribiidae) and mites (Acari) associated with bats (Mammalia: Chiroptera) in a high-altitude region in southern Minas Gerais, Brazil.

A total of 71 bat flies belonging to families Nycteribiidae and Streblidae, and 37 mites were collected on 12 species of bats (Phyllostomidae and Vespertilionidae) from the Chapada do Abanador (Minas Gerais, Brazil), between July 2009 and April 2010. Two new occurrences of ectoparasites were recorded on Histiotus velatus (bat fly Basilia producta) and on Carollia perspicillata (mite Parichoronyssus bakeri). Five new occurrences were recorded for the state of Minas Gerais, increasing the range for bat flies Anatrichobius passosi, Paraeuctenodes similis, Basilia juquiensis, Basilia producta and for mite Periglischrus vargasi.