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Multiple Opening Closing Net Environmental Sensing System (Mocness) Instrument Data For Cruise Dp05 R/V Point Sur In-Situ Deep Seawater And Associated Fauna, May 1-11, 2017, Viosca Knoll Gom, Gray Lawson, Travis Richards Jun 2017

Multiple Opening Closing Net Environmental Sensing System (Mocness) Instrument Data For Cruise Dp05 R/V Point Sur In-Situ Deep Seawater And Associated Fauna, May 1-11, 2017, Viosca Knoll Gom, Gray Lawson, Travis Richards

DEEPEND Datasets

The Multiple Opening Closing Net and Environmental Sensing System(s) (MOCNESS) deployed during the DEEPEND field program collects data (e.g., pressure, temperature, conductivity, volume filtered, horizontal and vertical velocity, latitude, and longitude) from several sensors while the instrument is in use. These data help characterize the environment and assess the orientation and speed of the MOCNESS. The flow and net angle can be used to calculate the volume of water filtered for each net. The biological data and ship data collected during this cruise are available in GRIIDC datasets R4.x257.226:0005 and R4.x257.226:0014 respectively.


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 Feb 2017

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 ...