LEEClab / Atlantic_Ants

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NEOTROPICAL SERIES: Data on the biodiversity within Neotropics


Atlantic Ants: A dataset of ants in Atlantic Forests of South America

The ATLANTIC ANTS data set–which is part of the ATLANTIC SERIES data papers–is a compilation of ant records from collections (18,713 records), unpublished data (29,651 records), and published sources (106,910 records; 1059 references), including papers, theses, dissertations, and book chapters published from 1886 to 2020. In total, the data set contains 153,818 ant records from 7,636 study locations in the Atlantic Forest, representing 10 subfamilies, 99 genera, 1,114 ant species identified with updated taxonomic certainty, and 2,235 morphospecies codes. Our data set reflects the heterogeneity in ant records, which include ants sampled at the beginning of the taxonomic history of myrmecology (the nineteenth and twentieth centuries) and more recent ant surveys designed to address specific questions in ecology and biology. The data set can be used by researchers to develop strategies to deal with different macroecological and regional-wide questions, focusing on assemblages, species occurrences and distribution patterns. Furthermore, the data can be used to assess the consequences of changes in land use in the Atlantic Forest on different ecological processes. No copyright restrictions apply to the use of this data set, but we request that authors cite this data paper when using these data in publications or teaching events.

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The original data set is fully available as Supporting Information in the ECOLOGY repository. Updated versions of ATLANTIC ANTS data set can be accessed in this NEOTROPICAL SERIES Github repository.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

This compilation was coordinated by Rogério R. Silva/MPEG [rogeriosilva@museu-goeldi.br], Rodrigo M. Feitosa/UFPR [rsmfeitosa@gmail.com], Felipe Martello/UFAC [felipemartello@gmail.com], Otávio Guilherme M. Silva/MPEG [otavio.guilherme@hotmail.com], Lívia Pires do Prado/MPEG, [livia.pires7@gmail.com],Carlos Roberto F. Brandão/MZSP [crfbrand@usp.br], Emília Zoppas de Albuquerque/NMNH [emilia_albuq@hotmail.com], Maria Santina C. Morini/UMC [mscmorini@gmail.com], and Jacques Hubert Charles Delabie/UESC/CEPLAC [jacques.delabie@gmail.com], under the supervision of Milton Ribeiro/UNESP-Rio Claro.

Data collection started in December 2017.

Manuscript accepted in May 2021.

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