DOI: 10.1038/s41587-019-0209-9

Dataset	Relation
Amplicon sequence variants (ASVs) recovered from samples and their related identification as Pseudo-nitzschia taxa and the methods used	Software
Presence or absence of amplicon sequence variants (ASVs) recovered from samples which are described in DATASET 01, Pseudo-nitzschia spp. from weekly samples and offshore cruises with the Northeast U.S. Shelf (NES) Long-Term Ecological Research (LTER)	Software
18s DNA sequence of potential prey of siphonophores	Software
Amplicon sequence variants (ASVs) and taxonomy of Pseudo-nitzschia spp. from Narragansett Bay in Rhode Island, USA and the Northeast U.S. Shelf (NES-LTER transect) from 2018-2023	Software
Pseudo-nitzschia spp. presence-absence and environmental data in Narragansett Bay in Rhode Island, USA and the Northeast U.S. Shelf (NES-LTER transect) from 2018-2023	Software
V3-V4 16S sequence accessions from samples of whole Gigantidas childressi as well as seafloor water samples collected on R/V Thompson cruise TN391 in Mississippi Canyon 853 in the Gulf of Mexico during May 2021	Software

Citation Style:

APA

Citation Text:

Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., … Asnicar, F. (2019). Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature Biotechnology, 37(8), 852–857. doi:10.1038/s41587-019-0209-9

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DOI

Identifier Value:

10.1038/s41587-019-0209-9

Resource Type:

Publication

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DOI: 10.1038/s41587-019-0209-9