Bacterial and fungal metabarcoding data characterizing within-canopy and within-leaf microbiota variations of three beech trees (Fagus Sylvatica) and their surrounding environment during the vegetative season of 2017.

10.7910/DVN/FFHAQU Fort, Tania Tania Fort https://orcid.org/0000-0001-6998-5985 Institute of microbiology of the Czech Academy of Sciences Pauvert, Charlie Charlie Pauvert https://orcid.org/0000-0001-9832-2507 Uniklinik RWTH Aachen Chancerel, Emilie Emilie Chancerel Institut national de recherche pour l'agriculture, l'alimentation et l'environnement Burlett, Regis Regis Burlett https://orcid.org/0000-0001-8289-5757 Institut national de recherche pour l'agriculture, l'alimentation et l'environnement Wingate, Lisa Lisa Wingate https://orcid.org/0000-0003-1921-1556 Institut national de recherche pour l'agriculture, l'alimentation et l'environnement Vacher, Corinne Corinne Vacher https://orcid.org/0000-0003-3023-6113 Institut national de recherche pour l'agriculture, l'alimentation et l'environnement Bacterial and fungal metabarcoding data characterizing within-canopy and within-leaf microbiota variations of three beech trees (Fagus Sylvatica) and their surrounding environment during the vegetative season of 2017. Harvard Dataverse 2022 Earth and Environmental Sciences Microbial ecology Fort, Tania Tania Fort Institute of microbiology of the Czech Academy of Sciences 2022-05-26 2022-05-26 2023-01-25 14359 31035 22731 14523 2336075 1545079 30939 5143929 2517515 3407985 29212 2565834 2764181 30774 4807226 21469 74366 text/tab-separated-values application/octet-stream text/tab-separated-values text/tab-separated-values application/octet-stream application/octet-stream application/octet-stream text/csv application/octet-stream text/csv application/octet-stream text/csv application/octet-stream application/octet-stream text/csv text/tab-separated-values application/octet-stream 1.2 Creative Commons CC0 1.0 Universal Public Domain Dedication. The dataset was created to quantify the magnitude of within-leaf and wihtin-canopy variations in the phyllosphere bacterial and fungal communities in european beech and the impact of such variations on microbial succession during leaf decomposition. The dataset is composed of FASTA files, Amplicon Sequence Variant (ASV) tables, the R code to generate ASV tables from raw sequences and the metadata including description of samples collected (geographic location, dates, trees, canopy and leaf position of the samples).