Dataset: MIS_Midwater_Transect
Deployment: McMurdo_SCINI_2008

MIS Midwater Transect

Principal Investigator:

Stacy Kim (Moss Landing Marine Laboratories, MLML)

BCO-DMO Data Manager:

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Project:

Development of a Remotely Operated Vehicle for Under Sea Ice Research in Polar Environments (SCINI)

Version:

Data URL:

https://www.bco-dmo.org/dataset-deployment/745446/data

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Description

This dataset includes abundances of taxa that were observed in images taken along midwater transects under the McMurdo Ice Shelf, Antarctica during December 2008. The imagery was collected with a Remotely Operated Vehicle called the 'Submersible Capable of under Ice Navigation and Imaging' (ROV/SCINI). Transects ranged in length from 10 to 45 meters and from a depth of 10 to 183 meters.

Methods & Sampling

Dataset acquisition description

Sites are centered at 78° 13.2’S, 164° 14.1’E, from North 500 meters north of this location, and South 500 meters south of this location, within the center of the barranca. The bottom depth was 188 m.

Depths are in meters.

Animal densities are reported as number per meter. Transect imagery was collected with the ROV SCINI. Organisms were identified to the lowest possible taxon.

Data Processing Description

Dataset Processing Description

BCO-DMO Processing:
- transposed columns to rows
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- re-formatted date from d-Mon-yy to yyyy-mm-dd
- converted latitude and longitude to decimal degrees

More information about this dataset deployment

Funding

Award Number	Funding Source
PLR-0619622	NSF Office of Polar Programs (formerly NSF PLR)

Instruments

Remotely Operated Vehicle

Supplied Name: ROV/SCINI

Supplied Description:

Submersible Capable of under Ice Navigation and Imaging (SCINI) is a small, slender vehicle that can fit through a 20 cm hole in the ice, allowing for deployment without heavy drilling equipment and with minimal logistical support. Its maximum depth capability is 300 m. SCINI is equipped with two video cameras, scaling lasers, and lights, with forward speeds of up to 4 knots. SCINI uses Ethernet over power on a 400 m long two-wire tether. A long baseline acoustic positioning system is used for navigation which uses a combination of two to four acoustic transducers hanging below the ice and a synchronized pinger on the vehicle for positional accuracy of better than 1 meter. [See Cazenave, F, R Zook, D Carroll, M Flagg, S Kim. 2011. Development of the ROV SCINI and deployment in McMurdo Sound, Antarctica. Journal of Ocean Technology 6(3):39-58.]

Instrument Type

Generic Name: Remotely Operated Vehicle

Acronym: ROV

Generic Description:

Remotely operated underwater vehicles (ROVs) are unoccupied, highly maneuverable underwater robots operated by a person aboard a surface vessel. They are linked to the ship by a group of cables that carry electrical signals back and forth between the operator and the vehicle. Most are equipped with at least a video camera and lights. Additional equipment is commonly added to expand the vehicle’s capabilities. These may include a still camera, a manipulator or cutting arm, water samplers, and instruments that measure water clarity, light penetration, and temperature.

Parameters

Supplied Name	Supplied description	Supplied Units	Standard Name
lat	latitude; north is positive	decimal degrees	lat
lon	longitude; east is positive	decimal degrees	lon
date	sampling date formatted as yyyy-mm-dd	unitless	date
depth_m	sampling depth range	meters	depth
replicate	replicate number	unitless	replicate
transect_length_m	length of transect	meters	len_track
Mertensiidae	abundance of Mertensiidae along the transect as identified in SCINI images	number/meter along transect	abundance
white_streak	abundance of white streaks along the transect as identified in SCINI images	number/meter along transect	abundance
Medusazoa	abundance of Medusazoa along the transect as identified in SCINI images	number/meter along transect	abundance
white_dot	abundance of white dots along the transect as identified in SCINI images	number/meter along transect	abundance
Euphausia	abundance of Euphausia along the transect as identified in SCINI images	number/meter along transect	abundance
pink_dot	abundance of pink dots along the transect as identified in SCINI images	number/meter along transect	abundance

Database

Contribute Data

Dataset: MIS_Midwater_Transect
Deployment: McMurdo_SCINI_2008

Dataset acquisition description

Dataset Processing Description

Database

Contribute Data

Dataset: MIS_Midwater_TransectDeployment: McMurdo_SCINI_2008

Dataset acquisition description

Dataset Processing Description

Dataset: MIS_Midwater_Transect
Deployment: McMurdo_SCINI_2008