Raw reads COI Illumina NextSeq metabarcoding library

DOI

Demultiplexed raw reads of the COI Illumina NextSeq metabarcoding library. The files contained include true samples, positive control and negative controls to assess moth diversity. The data contained in the files were assessed using the Python package FastQC, while processing and filtering steps were conducted using the R package dada2 for Amplicon Sequence Variant (ASV) generation. Downstream analysis was performed using the R package phyloseq and formatted for ecological analyses using additional R packages (e.g. vegan).

Identifier
DOI https://doi.org/10.5522/04/30345913.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/58693960
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/30345913
Provenance
Creator Maeda Obregon, Alejandro; Day, Julia ORCID logo; Wong, Audrey
Publisher University College London UCL
Contributor Figshare
Publication Year 2026
Rights https://creativecommons.org/licenses/by/4.0/; http://purl.org/coar/access_right/c_f1cf
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Biospheric Sciences; Ecology; Geosciences; Natural Sciences