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Gearty, W.

Publications and source records attributed to Gearty, W..

2 recordsLinked to original sources

A trait-based taxonomic data base for the order Schizomida (Arachnida) with descriptions of a new fossil species from Kachin amber and the female of Surazomus palenque Villarreal, Miranda & Giupponi 2016.

Despite a global distribution throughout the tropics and sub-tropics, the order Schizomida (Arachnida) is heavily understudied and the phylogeny of the group is poorly understood. Identification keys are only available for some regions or genera but not for the entire order. (1) comprehensively reviewed the entire schizomid fauna and established a suite of characters to define all genera known at this time. This suite of characters still depicts the foundation of modern descriptions, supplemented by recently established characters, most of them documenting setation patterns on pedipalps, flagellum and chelicerae. In this paper, we present the Schizomida Trait Data Base (STDB) containing data for 25 characters based on the entire body of schizomid literature. Characters were chosen based on their use for modern taxonomic description and availability of the data. The STDB is a powerful tool that can be used by both amateurs and experienced researchers to categorise newly found specimens, both extant and fossil, down to genus level easily. Analysis using the new database gives insight into biogeographical patterns of characters. Furthermore, we are describing a new species,{dagger} Annazomus jamesi, a fossil specimen from Burmese (Kachin) amber and investigate a small collection of extant schizomids from Ecuador, which includes the previously unrecorded female of Surazomus palenque, herein described for the first time. The taxonomic assignment of both specimens is based on the STDB, highlighting the utility of the new data base approach to schizomid systematics. Arachnids, biogeography, Cretaceous, data base, fossil, new species, palaeontology, Schizomida, statistics, taxonomy

evolutionary biology↗

rphylopic: An R package for fetching, transforming, and visualising PhyloPic silhouettes

O_LIData visualisation is vital for data exploration, analysis, and communication in research. Moreover, it can bridge gaps between researchers and the general public by making research findings more accessible and engaging. Today, researchers increasingly conduct their data analyses in programming languages such as R and Python. The availability of data visualisation tools within these environments supports the generation of reproducible data analyses and visualisation workflows. However, resources from external databases are frequently required for data visualisation necessitating integration between these databases and the platforms in which researchers conduct their analyses. C_LIO_LIHere, we introduce rphylopic, an R package for fetching, transforming, and visualising silhouettes of organisms from the PhyloPic database. In addition to making over 7,000 organism silhouettes available within the R programming language, rphylopic empowers users to modify the appearance of these silhouettes for ultimate customisability when coding production-quality visualisations in both base R and ggplot2 workflows. C_LIO_LIIn this work, we provide details about how the package can be installed, its implementation, and potential use cases. For the latter, we showcase three examples across the ecology and evolutionary biology spectrum. C_LIO_LIOur hope is that rphylopic will make it easier for biologists to develop more accessible and engaging data visualisations by making external resources readily accessible, customisable, and usable within R. In turn, by integrating into existing workflows, rphylopic helps to ensure that science is reproducible and accessible. C_LI

evolutionary biology↗