Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL.

dc.contributor.author Hamsher, Sarah
dc.contributor.author Casamatta, Dale
dc.contributor.author Biddanda, Bopaiah
dc.coverage.spatial Middle Island, Lake Huron, Great Lakes N 45.19843°N, W083.32721°W
dc.coverage.spatial westlimit: -83.456; southlimit: 29.6317; eastlimit: -81.2084; northlimit: 45.1984
dc.coverage.temporal 20220425 - 20220916 (UTC)
dc.date.accessioned 2023-10-19T21:45:18Z
dc.date.available 2023-10-19T21:45:18Z
dc.date.created 2023-10-19
dc.date.issued 2023-10-19
dc.description Dataset: Samples Sequenced for Metabarcoding
dc.description.abstract These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously. Each of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/911441
dc.description.sponsorship NSF Division of Ocean Sciences (NSF OCE) OCE-2046958, NSF Division of Ocean Sciences (NSF OCE) OCE-2045972
dc.identifier.citation Hamsher, S., Casamatta, D., & Biddanda, B. (2023). Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL. (Version 1) [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.911441.1
dc.identifier.doi 10.26008/1912/bco-dmo.911441.1
dc.identifier.uri https://hdl.handle.net/1912/67033
dc.language.iso en_US
dc.publisher Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
dc.relation.uri http://lod.bco-dmo.org/id/dataset/911441
dc.relation.uri https://doi.org/10.26008/1912/bco-dmo.911441.1
dc.rights Creative Commons Attribution 4.0
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject rbcL
dc.subject Metabarcoding
dc.subject diatom
dc.title Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL.
dc.type Dataset
dspace.entity.type Publication
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