Metabuscador de dados de pesquisa

DOI:	https://doi.org/10.25824/REDU/H2WXZN
Título:	16S rRNA metabarcoding data and analysis code from throughfall and soil samples in a Neotropical forest (Ubatuba, São Paulo, Brazil)
Assunto:	Earth and Environmental Sciences
Descrição:	This repository contains processed data and analysis code associated with a 16S rRNA gene metabarcoding study of bacterial communities in throughfall water (rainwater passing through the forest canopy) and soil samples collected in a Neotropical forest in Ubatuba, São Paulo, Brazil. The dataset was generated to investigate how epiphytic tank bromeliads influence soil bacterial community structure and microbial functioning via canopy–soil coupling mediated by throughfall. Throughfall and soil samples were collected in field conditions and processed using eDNA metabarcoding targeting the 16S rRNA gene (V4 region), following the Illumina Amplicon Protocol from the Earth Microbiome Project. Sequence data were processed using QIIME 2, with denoising and amplicon sequence variant (ASV) inference performed using DADA2, and taxonomic assignment conducted with a Naive Bayes classifier trained on the SILVA 138 database. The repository includes ASV tables, taxonomic classifications, and associated metadata. In addition to sequencing data, this repository provides R scripts used for downstream analyses, including diversity metrics (alpha and beta diversity), ordination analyses (PCoA), redundancy analysis (RDA), and structural equation modeling (piecewise SEM). Soil chemical variables (e.g., pH, organic matter, and nutrients) and microbial functional indicators—such as microbial biomass carbon, soil respiration, and β-glucosidase activity—were integrated into the analytical framework as well. The data cannot be made publicly available due to intellectual property protection restrictions. For additional information, please contact the corresponding authors.
Autor(es):	Pereira, Tháles Augusto Coralli Becker, Carlos Guilherme Buttimer, Shannon Marie Hidalgo Martinez, Kelly Johanna Lemos, Leandro Nascimento Oliveira, Valeria Maia de Andreote, Fernando Dini Dini-Andreote, Francisco Romero, Gustavo Quevedo
URI:	https://doi.org/10.25824/REDU/H2WXZN https://redu.unicamp.br/dataset.xhtml?amp;persistentId=doi:10.25824/REDU/H2WXZN
Outros identificadores:
Fomento:	Conselho Nacional de Desenvolvimento Científico e Tecnológico Fundação de Amparo à Pesquisa do Estado de São Paulo Fundação de Amparo à Pesquisa do Estado de São Paulo Fundação de Amparo à Pesquisa do Estado de São Paulo Fundação de Amparo à Pesquisa do Estado de São Paulo
Número do Projeto:	CNPq: 140793/2020-8 FAPESP: 2020/06778-7 FAPESP: 2019/08474-8 FAPESP: 2022/10765-3 FAPESP: 2023/01589-0
Termo de uso:
Data:	4-Mar-2026
Data de Disponibilização:	7-Nov-2026
Formato:
Tipo:
Editora / Evento / Instituição:	Pereira, Tháles Augusto Coralli
Idioma :
Aparece nas coleções:	Repositório de Dados de Pesquisa da UNICAMP

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