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Inventory Of Gulf Of Mexico Oceanic Fauna Data Including Species, Weight, And Measurements From R/V Point Sur (Cruises Dp03 And Dp04) May-August, 2016, April Cook, Tracey Sutton
Inventory Of Gulf Of Mexico Oceanic Fauna Data Including Species, Weight, And Measurements From R/V Point Sur (Cruises Dp03 And Dp04) May-August, 2016, April Cook, Tracey Sutton
DEEPEND Datasets
This data set includes the biological and environmental data for all of the species collected during the DP03 (May 2016) and DP04 cruises (August 2016). The main gear type used was a 10-m2 Multiple Opening Closing Net and Environmental Sensing System (MOCNESS). The MOCNESS was fitted with 6 nets which were opened according to the following depth scheme: net 0 from the surface to 1500m, net 1 from 1500-1200m, net 2 from 200-1000m, net 3 from 1000-600m, net 4 from 600-200m, and net 5 from 200m to the surface. Two trawls were conducted at each station sampled to capture diel …
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
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.