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Habitat Classification Of The Gulf Of Mexico (Gom) Using The Hybrid Coordinate Ocean Model (Hycom) And Salinity/Temperature Profiles, Cruises Dp01-Dp04, May 2015 To August 2016, Matt Johnston, Rosanna Milligan, Cole Easson, Sergio Derada, Brad Penta, Tracey Sutton
Habitat Classification Of The Gulf Of Mexico (Gom) Using The Hybrid Coordinate Ocean Model (Hycom) And Salinity/Temperature Profiles, Cruises Dp01-Dp04, May 2015 To August 2016, Matt Johnston, Rosanna Milligan, Cole Easson, Sergio Derada, Brad Penta, Tracey Sutton
DEEPEND Datasets
Deep pelagic habitat from the entire Gulf of Mexico (GOM) was classified using the deviation of sea surface height (SSH) from mean SSH for the entire GOM and water temperature at 300 m water depth, founded on ocean condition data from the 1/25° GOM HYbrid Coordinate Ocean Model (HYCOM). Pelagic habitats were segregated into anticyclonic, mixed boundaries, and common water units – all of which likely produce varying levels of forage for deep-sea fauna and may be trophic drivers. Model classifications were compared to classifications based on water column temperature and salinity at depth, as measured by CTD casts during …
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp01 And Dp02 From May 2015 - August 2015, Cole Easson, Jose V. Lopez
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp01 And Dp02 From May 2015 - August 2015, Cole Easson, Jose V. Lopez
DEEPEND Datasets
Seawater was collected and filtered for microbiome and bacterioplankton sequencing and analyses at various depths during two planned DEEPEND cruise expeditions to the GOM. Filters were stored and then processed for total environmental genomic DNA according to standard methods (see earthmicrobiome.org). 16S rRNA amplicon libraries covering the V4 hypervariable region was generated with universal PCR primers and then sequenced on an Illumina MiSeq DNA sequencing platform. Bioinformatics analyses in QIIME and R was used to quality filter and assess microbial community diversity and taxonomic composition. These baseline characterizations track alpha and beta diversity at different depths ranging from 0 – …