Environmental DNA metabarcoding data from Marina di Camerota coast (Italy) based on citizen science sampling

The “Supplemementary Material_Marina di Camerota” file includes all the information related to the activities carried out in Marina di Camerota (Campania region, Italy), in particular: in Table 1 there is general information on the sampling plan (date, coordinates, operators involved); in Table 2 and 3 there is information on how the main functional groups were defined; in Table 4 there is information on the relative abundances of the functional groups; and in Table 5 there is information on the main trophic relationships among the functional groups found. The ” BIOMARCS_ASV_TABLES” file includes the annotated metabarcoding Amplicon Sequence Variants (ASVs) resulting from the analysis of environmental DNA (eDNA) collected as water samples in Marina di Camerota and filtered in loco by citizens. The first sheet includes sequence information, relative abundance and taxonomic annotation of the organisms identified using the hypervariable region V4 of the nuclear 18S rRNA; the second sheet includes the same information but for organisms (metazoans) identified using a fragment of the mitochondrial COI gene. Data were sequenced at the Sequencing facility of the SZN (RIMAR Dept.) using the GeneStudio S5 and processed through the dada2 pipeline. Furthermore, the biodiversity found for both 18S-V4 and COI marker is shown by the “Krona Plot” files. They were divided to show (i) total biodiversity, (ii) biodiversity above P. oceanica, (iii) biodiversity next to P. oceanica, and (iv) biodiversity far from P. oceanica. The dataset was produced during the Citizen Science Initiative "Integrating biodiversity monitoring and awareness-raising in coastal peripheries, by engaging citizen-science sailors as focal nodes in the process of local community empowerment" (Acronym: BIOMARCS; Nickname: Reknotting Marine Biodiversity) funded by the European project IMPETUS (https://impetus4cs.eu/; Grant agreement ID: 101058677; DOI: 10.3030/101058677). IMPETUS is funded by the European Union's Horizon Europe research and innovation programme under grant agreement number 101058677. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.