Dataset of rolling circle amplification (RCA) enriched metagenome of Cassava obtained through nanopore sequencing.

The dataset presented here was obtained by sequencing selected historic herbarium cassava samples collected across Nigeria. Total DNA was extracted from the samples using the CTAB method, after which the samples were enriched by Rolling Circle Amplification (RCA) and then sequenced on the MinION. The dataset consists of raw sequencing data in FASTQ format reflecting microbial diversity in cassava leaf samples. Taxonomic classification of the samples using the Kraken2 PlusPFP-16 database revealed 12 kingdoms, 36 phyla, 67 classes, 154 orders, 273 families, 524 genera, and 895 species across the dataset, with a substantial proportion (77.9%) of reads remaining unclassified following host removal. The data is beneficial for exploring the microbiome diversity of cassava leaves across Nigeria, as well as serving as a reference for future microbial discovery, given the large number of unidentified reads in the dataset.