Dataset: AUV Sentry megafaunal presence

Name: Megafaunal presence recorded from AUV Sentry phototransects conducted at sites across the Costa Rica margin from R/V Atlantis cruises AT37-13, AT42-03 in 2017 and 2018
Published: 2021-05-03
Keywords: Costa Rica, methane seep, sentry, biogenic habitat, environmental variable, oceans

View Data: Data not available yet

Cite This Dataset

DOI:10.26008/1912/bco-dmo.847032.1

Spatial Extent: N:9.12506 E:-84.2085 S:8.78231 W:-85.1879

Temporal Extent: 2017-05-24 - 2018-11-04

Project:

Collaborative research: Quantifying the biological, chemical, and physical linkages between chemosynthetic communities and the surrounding deep sea (Costa Rica Seeps)

Principal Investigator:

Erik E. Cordes (Temple University, Temple)

Co-Principal Investigator:

Lisa A. Levin (University of California-San Diego, UCSD-SIO)

Victoria J. Orphan (California Institute of Technology, Caltech)

Christopher Neil Roman (University of California-San Diego, UCSD-SIO)

Gregory Rouse (University of California-San Diego, UCSD-SIO)

Student:

Emily Cowell (Temple University, Temple)

April Stabbins (Temple University, Temple)

BCO-DMO Data Manager:

Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2021-05-03

Restricted:

Release Date:

2023-02-01

Validated:

Yes

Current State:

Final no updates expected

Megafaunal presence recorded from AUV Sentry phototransects conducted at sites across the Costa Rica margin from R/V Atlantis cruises AT37-13, AT42-03 in 2017 and 2018

Abstract:

Megafaunal presence recorded from AUV Sentry phototransects conducted at sites across the Costa Rica margin from R/V Atlantis cruises AT37-13, AT42-03 in 2017 and 2018.

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Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2021-05-03	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.847032.1	2021-05-07

Methods & Sampling

Location: Pacific coast of Costa Rica

Sampling and analytical procedures:

AUV Sentry was deployed on two R/V Atlantis cruises in May-June 2017 and October-November 2018 off the Pacific coast of Costa Rica to capture seafloor images of predetermined transects along with their associated coordinates and environmental conditions. Visual assessment of each photo was undertaken, and biogenic habitat forming species presence was recorded, as well as carbonate rock presence for sessile species attachment.

Photos were processed visually at Temple University, PA, USA. The "proc" format of the photos were analyzed "color corrected and smoothed color TIFF photos" (see https://ndsf.whoi.edu/sentry/using-sentry/data-products/).

Instruments:
The AUV houses several sensors, including a Seapoint optical backscatter sensor for turbidity, an Anderaa optode 4330 dissolved oxygen sensor, and a Seabird SBE49 CTD probe for salinity, temperature and depth monitoring. Finally, a NOAA PMEL oxidation-reduction potential (ORP) probe was attached to the AUV as a proxy measure for methane seepage

Data Processing Description

BCO-DMO Data Manager Processing Notes:
* All sheets from "Excel file BCO-DMO data submission- Sentry presence absence.xlsx" imported into the BCO-DMO data system and combined into one table. Each sheet was one dive of data.
* Date column had variable format so made all ISO8601 format yyyy-mm-dd
* ISO_DateTime_UTC and dive_image_number columns added from information in the sentry image name.
* Column names renamed to match BCO-DMO naming conventions (spaces and slashes changed to underscores, units removed from column name). Unit information is available in the parameter section of the metadata.
* Issue in sheet 432 of the original excel file starting at row 9861 to the end of the sheet. The issue seems to be the "f" of the filename (the .tif part) seems to be missing and it instead is in the Depth (m) column so the values for depth look like "f 990.56222744119". The imagenames were corrected to end in .tif instead of .ti and removed the "f " preceding the depths.
* In sheet 502 row 7789 of the original excel file, (row for image sentry.20181021.104425422155.7861.tif) there was an issue where the latitude value was "7 8.9307818665541". The "7 " was removed in this dataset.
* Depth and Altitude columns rounded to two decimal places.
* Latitude and longitude rounded to 5 decimal places.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1635219

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
AT37-13		2017-05-20	R/V Atlantis	Erik E. Cordes (Chief Scientist)	data info
AT42-03		2018-10-17	R/V Atlantis	Erik E. Cordes (Chief Scientist)	data info

Instruments

AUV Sentry

Supplied Name:

Supplied Description:

Instrument Type

Generic Name: AUV Sentry

Generic Description:

The autonomous underwater vehicle (AUV) Sentry is a fully autonomous underwater vehicle capable of exploring the ocean down to 6,000 meters (19,685 feet) depth. Sentry builds on the success of its predecessor the ABE, with improved speed, range, and maneuverability.

Sentry's hydrodynamic shape also allows faster ascents and descents. Sentry carries a superior science sensor suite and an increased science payload enabling it to be used for both mid-water and near-seabed oceanographic investigations. Sentry produces bathymetric, sidescan, subbottom, and magnetic maps of the seafloor and is capable of taking digital bottom photographs in a variety of deep-sea terrains such as mid-ocean ridges, deep-sea vents, and cold seeps at ocean margins. Sentry is uniquely able to operate in extreme terrain, including volcano caldera and scarps. Sentry's navigation system uses a doppler velocity log and inertial navigation system, aided by acoustic navigation systems (USBL or LBL). The USBL system also provides acoustic communications, which can be used to obtain the vehicle state and sensor status as well as to retask the vehicle while on the bottom. In addition its standard sensors, Sentry has carried a variety of science-supplied sensors, including the Nakamura redox potential probe, ACFR 3-D imaging system, and the Tethys in-situ mass spectrometer.

Sentry can be used to locate and quantify hydrothermal fluxes. Sentry is also capable of a much wider range of oceanographic applications due to its superior sensing suite, increased speed and endurance, improved navigation, and acoustic communications. Sentry can be used as a stand alone vehicle or in tandem with Alvin or an ROV to increase the efficiency of deep-submergence investigations.

More information is available from the operator site at URL: http://www.whoi.edu/main/sentry

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
Photo_Filename	Identifying # of photo	unitless	file_name
Cruise	Cruise code #	unitless	cruise_id
Year	Year of cruise	unitless	year
Date	Date of cruise in ISO 8601 format yyyy-mm-dd. Format: %Y-%m-%d	unitless	date_utc
ISO_DateTime_UTC	Timestamp when the image was taken down to the microsecond in ISO8601 format yyyy-mm-ddTHH:MM:SS.ffffff. Format: ISO_DateTime_UTC	unitless	ISO_DateTime_UTC
Dive	AUV Sentry dive code #	unitless	dive_id
dive_image_number	Sequential image number from the start of the dive starting with image 0.	unitless	sample_descrip
Site	AUV Sentry dive site	unitless	site
Depth	Water depth of AUV	meters	depth
Altitude	Distance of AUV above sediment	meters	altitude
Oxygen_Concentration	Oxygen concentration of water	micromoles/kg	O2
dORP_to_dt	Oxidative-reductive potential (change in millivolts per second).	dimensionless	Ox_Red
Latitude	Latitude of sample	decimal degrees	lat
Longitude	Longitude of sample	decimal degrees	lon
Salinity	Salinity of water column	Practical Salinity Units (PSU)	sal
Temperature	Temperature of water column	degrees Celsius	temp
Carbonate_Rock	Presence of carbonate rock in photos. present (1), absent (0).	unitless	sample_descrip
Tubeworm	Presence of tubeworms in photos. present (1), absent (0).	unitless	sample_descrip
Mussel	Presence of mussels in photos. present (1), absent (0).	unitless	sample_descrip
Serpulid	Presence of serpulids in photos. present (1), absent (0).	unitless	sample_descrip
Clam	Presence of clams in photos. present (1), absent (0).	unitless	sample_descrip
Bacterial_Mat	Presence of bacterial mats in photos. present (1), absent (0).	unitless	sample_descrip
Coral	Presence of corals in photos. present (1), absent (0).	unitless	sample_descrip
Kiwa_puravida	Presence of Kiwa puravida in photos. present (1), absent (0).	unitless	sample_descrip

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Dataset: AUV Sentry megafaunal presence