Distribution of plankton genera over three years based on ASV abundances from metabarcoding data in the Gulf of Naples, Italy
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Metabarcoding data are increasingly used to derive co-occurrence networks and obtain, e.g., information on plankton and interactions among them. Here we provide two matrices containing the number of amplicon sequence variants (ASVs)’ reads aggregated at the genus level for the V4 and V9 regions of the 18S (small subunit) ribosomal RNA gene obtained in the Gulf of Naples along three years (2011 to 2013) through 48 sampling dates We used these data to derive co-occurrence networks for the plankton community. Details for the methods used for sampling collection and data generation i.e., DNA extraction, amplification and sequencing), see (Piredda et al., 2017 - DOI: 10.1093/femsec/fiw200). ASVs were classified using BLAST against the PR2 v4.12 reference database (Vaulot et al., 2021 - DOI: 10.1111/1755-0998.13465)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["marine plankton","ASV abundance","time-series","Mediterranean Sea"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Metabarcoding data are increasingly used to derive co-occurrence networks and obtain, e.g., information on plankton and interactions among them. Here we provide two matrices containing the number of amplicon sequence variants (ASVs)’ reads aggregated at the genus level for the V4 and V9 regions of the 18S (small subunit) ribosomal RNA gene obtained in the Gulf of Naples along three years (2011 to 2013) through 48 sampling dates We used these data to derive co-occurrence networks for the plankton community. Details for the methods used for sampling collection and data generation i.e., DNA extraction, amplification and sequencing), see (Piredda et al., 2017 - DOI: 10.1093/femsec/fiw200). ASVs were classified using BLAST against the PR2 v4.12 reference database (Vaulot et al., 2021 - DOI: 10.1111/1755-0998.13465)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Metabarcoding data are increasingly used to derive co-occurrence networks and obtain, e.g., information on plankton and interactions among them. Here we provide two matrices containing the number of amplicon sequence variants (ASVs)’ reads aggregated at the genus level for the V4 and V9 regions of the 18S (small subunit) ribosomal RNA gene obtained in the Gulf of Naples along three years (2011 to 2013) through 48 sampling dates We used these data to derive co-occurrence networks for the plankton community. Details for the methods used for sampling collection and data generation i.e., DNA extraction, amplification and sequencing), see (Piredda et al., 2017 - DOI: 10.1093/femsec/fiw200). ASVs were classified using BLAST against the PR2 v4.12 reference database (Vaulot et al., 2021 - DOI: 10.1111/1755-0998.13465)
marine plankton; ASV abundance; time-series; Mediterranean Sea