http://lod.bco-dmo.org/id/dataset/930162
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2024-06-21
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022
2024-09-06
publication
2024-09-06
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-09-06
publication
https://doi.org/10.26008/1912/bco-dmo.930162.1
Juan Gerardo Gutiérrez-Bravo
University of Massachusetts Dartmouth SMAST
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Gutiérrez-Bravo, J. G. (2024) MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-09-06 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.930162.1 [access date]
SR2114 MOCNESS Net Data Dataset Description: Methods and Sampling: <p>Data were collected on R/V Sally Ride cruise SR2114 in the Eastern Tropical North Pacific from December 2021 to January 2022.</p>
<p>The MOCNESS was equipped with 10 nets of 1 square meter (m^2) mouth opening and 333 micrometer (µm) mesh size, a SeaBird SBE9+ CTD, a SeaBird SBE 43 dissolved oxygen (DO) sensor, and flow meter and angle sensors. The MOCNESS tows were performed at locations of particular biological interest (see Figure 1 of Gutiérrez-Bravo, et al. (2024)), such as the CRTD (M1), San Jose submarine canyon (M2), the center (M3, M5) and borders (M4, M6) of two anticyclonic eddies (abbreviated ACE-1 and ACE-2), and across the northern portion of the OMZ (M7 and M8).</p>
<p>Using manufacturer software (SBE Data Processing), CTD data were filtered and aligned. CTD-rosette data were binned to 1-meter depth and MOCNESS data were binned to 10 seconds. Conservative Temperature and Absolute Salinity were calculated. CTD-rosette data were used to construct hydrographic sections, while MOCNESS sensor data were used to describe the environmental conditions of zooplankton samples.</p>
<p>The MOCNESS tows were performed at 1.5-2 knots net speed and at a 40-50° net angle. A horizontal net tow strategy was followed to sample selected dissolved oxygen (DO) concentrations (oxypleths) in five sampling levels: 1) the oxic level (~200 micromoles per kilogram (μmol/kg), near surface), 2) the hypoxic (~100 μmol/kg) and 3) suboxic (~10 μmol/kg) levels in the upper core boundary, 4) the anoxic core level (&lt;1 μmol/kg, at the center of the anoxic core), and 5) the deep level (~10 μmol/kg in the lower boundary below the anoxic core). The remaining 5 MONCESS nets were opened during transitions between target depths and were not used for this study. This horizontal sampling protocol allows for discrete, punctual sampling events, but cannot provide continuous, vertically-integrated abundances as oblique tows would (Wiebe et al. 2015). An example of the configuration of horizontal sampling levels along the water column is shown in Figure 2 of Gutiérrez-Bravo, et al. (2024). The oxic, hypoxic, and suboxic levels were sampled for ~10 minutes (~500 cubic meters (m^3) filtered volume). The deep and anoxic levels were sampled for ~20 minutes (~1000 m^3 filtered volume) to obtain sufficient sample material.</p>
<p>Due to time constraints and to eliminate any differences between stations caused by the phase of diel vertical migration, all the net deployments were performed during nighttime. Hence, the sampling results reflect nighttime distributions only.</p>
<p><strong>Sample handling:</strong><br />
Gelatinous organisms, non-planktonic groups, and excess water were removed from the samples after they were retrieved from the cod ends. The samples were preserved with Ethanol 96%. At least two ethanol changes were performed during the cruise and a third was performed on land.</p>
<p>Zooplankton biovolume was measured by the displacement method (Steedman 1976) and standardized to milliliters per 1000 cubic meters (mL/1000 m^3) by dividing the zooplankton displacement volume (mL) by the volume of water filtered by the net (m^3).</p>
<p>Fish larvae and juveniles were separated and counted under a stereoscope. Fish larvae were identified to the most specific taxonomic level possible, using a specialized bibliography (Evseenko 1990; Moser 1996; Aceves-Medina et al. 1999, 2003; Evseenko and Shtaut 2000; Richards 2005; Jiménez‐Rosenberg et al. 2006; González-Navarro et al. 2013; Silva-Segundo et al. 2021). The larval stages (preflexion, flexion, postflexion, and transformation) were defined according to Moser (1996). Preflexion and flexion larvae were considered "early larval stages" as they both lack fully-developed fins. Larval abundances were standardized to larvae per 1000 cubic meters (larvae/1000 m^3) and were considered absolute abundances.</p>
<p>Juveniles and adults were separated, counted, and identified to family level, except for the <em>Gonostomatidae</em>, that were represented entirely by the genus <em>Cyclothone</em>. Adult abundances were standardized to fish per 1000 cubic meters (fish/1000 m^3). Because the increased swimming ability of adult fish could affect fishing efficiency, abundances were considered relative, and should not be compared with the absolute abundances of fish larvae.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851361 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851361
completed
Juan Gerardo Gutiérrez-Bravo
University of Massachusetts Dartmouth SMAST
jgutierrezbravo@umassd.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Station
Event
MOC_Num
Date
NBf
Stratum
Distance
Density00
DepSM
Latitude
Longitude
Sbox0Mm_Kg
Sal00
T090C
Gsw_saA0
Gsw_ctA0
Biovolume
Larval_Abundance
Auxis_sp
Benthosema_panamense
Bregmaceros_bathymaster
Cyclothone_sp
Diaphus_pacificus
Diogenichthys_laternatus
Dormitator_latifrons
Ophidion_sp
Opisthonema_spp
Syacium_spp
Vinciguerria_lucetia
Preflexion
Flexion
Postflexion
Transformation
Juv_Adult
MOCNESS, SeaBird SBE9+ CTD
flow meter
SeaBird SBE 43 DO sensor
theme
None, User defined
station
event
cast
date
number
sample description
No BCO-DMO term
density
depth
latitude
longitude
dissolved Oxygen
salinity
water temperature at measurement depth
biovolume
abundance
featureType
BCO-DMO Standard Parameters
CTD MOCNESS
Flow Meter
Sea-Bird SBE 43 Dissolved Oxygen Sensor
instrument
BCO-DMO Standard Instruments
SR2114
service
Deployment Activity
Eastern Tropical Pacific from Costa Rica to San Diego, CA, USA
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Multiyear autonomous measurement of N-loss in the ETNP ODZ
https://osprey.bco-dmo.org/project/925430
Collaborative Research: Multiyear autonomous measurement of N-loss in the ETNP ODZ
<p><em>NSF Award Abstract:</em><br />
Several regions of the deep ocean naturally contain almost no oxygen. Because of this lack of oxygen, microbes living in these regions live in ways that differ from those in oxygenated waters consuming nitrate ions instead of oxygen for respiration. Use of nitrate for microbial respiration results in the production of nitrogen gas which is called denitrification. The resulting removal of nitrate has consequences for the whole ocean as nitrogen is an important nutrient controlling plant growth; however, whereas plants can use nitrogen in the form of nitrate, they cannot, with a few exceptions, use nitrogen gas. There remains a number of uncertainties regarding how much denitrification occurs in the ocean, what controls it, and how it varies in time and space. Traditional studies of ocean denitrification have been limited by the time ships can be at sea and the relatively small proportion of the ocean they can observe. Our project plans to remedy this problem by using vehicles called floats that can operate autonomously in the ocean for three years or more as they drift with currents over hundreds of kilometers. We will outfit ten floats with sensors to measure oxygen and nitrogen gas which will be placed throughout the oxygen-depleted region of the Pacific Ocean to the west of Mexico. This is the largest such region in the ocean from which we have two years of results from a prototype float which validated our approach. This study may well transform our understanding of ocean denitrification and ultimately benefit society as a whole through greater confidence in predictions of the ocean's nitrogen cycle and capacity to fix carbon dioxide under current and future conditions. Application and further development of float systems using commercially available technology will directly benefit successor studies, and more broadly showcase the use of water-following platforms to tackle difficult oceanographic problems. Advances from this study are expected to carry over to other disciplines including ocean biogeochemical modeling. Outreach activities, support for an early career scientist, and student training are included in the project. For the outreach activities, the investigators plan to tie into well-established after-school programs serving underrepresented populations in Massachusetts and established opportunities for public presentations using float related display materials at the University of Washington.</p>
<p>Oxygen deficient zones (ODZs), despite constituting a small fraction of total oceanic volume, play important roles in regulating global ocean carbon and nitrogen cycles including hosting 30 to 50% of the global loss of fixed nitrogen. Unfortunately, current uncertainty in ODZ nitrogen loss derives from substantial temporal and spatial variability in rates that remain under-sampled by ship-based measurements. While local regulation of nitrogen loss by oxygen and organic matter availability are well accepted, temporal/spatial variability in the nitrogen flux is likely a result of the influence of physical forcings such as remote ventilation, seasonal variability, and mesoscale eddies. Understanding how the impact of physical forcings on nitrogen loss as mediated through oxygen and organic flux will be required to fully understand the causes and consequences of any future ODZ expansion. To improve our understanding of ODZ nitrogen loss, we will carry out a multiyear, autonomous float-based observational program to address outstanding questions regarding bioavailable nitrogen loss in ODZs. As the largest ODZ and region of our pilot deployments, our operation area will be the Eastern Tropical N. Pacific (ETNP) where our study will determine over a multi-year period, in-situ nM-level oxygen and biogenic nitrogen on float profiles spanning geographic gradients in oxygen and surface productivity. For the first time, our study will also determine in situ nitrogen loss rates from changes in nitrogen concentration during 1 to 2 week Lagrangian float drifts along a constant density surface. A pilot 2 yr float deployment in the ETNP documents our ability to do so. Critically, our float-based approach more closely matches the frequency and distribution of observations to the expected variability in biogenic nitrogen production as compared to prior work and will dramatically increase the data density for this region by acquiring >500 profiles/drifts for nitrogen and >1000 profiles for nM oxygen.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
N-loss in the ETNP ODZ
largerWorkCitation
project
eng; USA
oceans
Eastern Tropical Pacific from Costa Rica to San Diego, CA, USA
-114.66639
-89.14579
8.65747
21.86359
2021-12-26
2022-01-17
0
BCO-DMO catalogue of parameters from MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/931408.rdf
Name: Station
Units: unitless
Description: <p>Station number in cruise SR2114</p>
http://lod.bco-dmo.org/id/dataset-parameter/931409.rdf
Name: Event
Units: unitless
Description: <p>Event number at the station</p>
http://lod.bco-dmo.org/id/dataset-parameter/931410.rdf
Name: MOC_Num
Units: unitless
Description: <p>Sequential MOCNESS number</p>
http://lod.bco-dmo.org/id/dataset-parameter/931411.rdf
Name: Date
Units: unitless
Description: <p>Date of the sampling event</p>
http://lod.bco-dmo.org/id/dataset-parameter/931413.rdf
Name: NBf
Units: unitless
Description: <p>Number of nets fired</p>
http://lod.bco-dmo.org/id/dataset-parameter/931414.rdf
Name: Stratum
Units: unitless
Description: <p>Sampling location (see Gutierrez Bravo et al. 2024 for details)</p>
http://lod.bco-dmo.org/id/dataset-parameter/931415.rdf
Name: Distance
Units: kilometers (km)
Description: <p>Distance along the cruise track</p>
http://lod.bco-dmo.org/id/dataset-parameter/931416.rdf
Name: Density00
Units: grams per kilogram (g/kg)
Description: <p>Density anomaly</p>
http://lod.bco-dmo.org/id/dataset-parameter/931417.rdf
Name: DepSM
Units: meters (m)
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/931418.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude of the sampling event</p>
http://lod.bco-dmo.org/id/dataset-parameter/931419.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude of the sampling event</p>
http://lod.bco-dmo.org/id/dataset-parameter/931420.rdf
Name: Sbox0Mm_Kg
Units: micromoles per kilogram (umol/kg)
Description: <p>Mean oxygen from SBE in the whole net tow</p>
http://lod.bco-dmo.org/id/dataset-parameter/931421.rdf
Name: Sal00
Units: PSU
Description: <p>Salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/931422.rdf
Name: T090C
Units: degrees Celsius
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/931423.rdf
Name: Gsw_saA0
Units: degrees Celsius
Description: <p>Conservative temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/931424.rdf
Name: Gsw_ctA0
Units: PSU
Description: <p>Absolute salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/931425.rdf
Name: Biovolume
Units: milliliters per 1000 cubic meters
Description: <p>Zooplankton biovolume measured by displacement method</p>
http://lod.bco-dmo.org/id/dataset-parameter/931426.rdf
Name: Larval_Abundance
Units: larvae per 1000 cubic meters
Description: <p>Total larval abundance standardized to larvae 1000 m^-3</p>
http://lod.bco-dmo.org/id/dataset-parameter/931427.rdf
Name: Auxis_sp
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Auxis sp.</p>
http://lod.bco-dmo.org/id/dataset-parameter/931428.rdf
Name: Benthosema_panamense
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Benthosema panamense</p>
http://lod.bco-dmo.org/id/dataset-parameter/931429.rdf
Name: Bregmaceros_bathymaster
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Bregmaceros bathymaster</p>
http://lod.bco-dmo.org/id/dataset-parameter/931430.rdf
Name: Cyclothone_sp
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Cyclothone sp.</p>
http://lod.bco-dmo.org/id/dataset-parameter/931431.rdf
Name: Diaphus_pacificus
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Diaphus pacificus</p>
http://lod.bco-dmo.org/id/dataset-parameter/931432.rdf
Name: Diogenichthys_laternatus
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Diogenichthys laternatus</p>
http://lod.bco-dmo.org/id/dataset-parameter/931433.rdf
Name: Dormitator_latifrons
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Dormitator latifrons</p>
http://lod.bco-dmo.org/id/dataset-parameter/931434.rdf
Name: Ophidion_sp
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Ophidion sp.</p>
http://lod.bco-dmo.org/id/dataset-parameter/931435.rdf
Name: Opisthonema_spp
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Opisthonema spp.</p>
http://lod.bco-dmo.org/id/dataset-parameter/931436.rdf
Name: Syacium_spp
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Syacium spp.</p>
http://lod.bco-dmo.org/id/dataset-parameter/931437.rdf
Name: Vinciguerria_lucetia
Units: larvae per 1000 cubic meters
Description: <p>Larval abundance of Vinciguerria B10lucetia</p>
http://lod.bco-dmo.org/id/dataset-parameter/931438.rdf
Name: Preflexion
Units: larvae per 1000 cubic meters
Description: <p>Abundance in the preflexion stage</p>
http://lod.bco-dmo.org/id/dataset-parameter/931439.rdf
Name: Flexion
Units: larvae per 1000 cubic meters
Description: <p>Abundance in the flexion stage</p>
http://lod.bco-dmo.org/id/dataset-parameter/931440.rdf
Name: Postflexion
Units: larvae per 1000 cubic meters
Description: <p>Abundance in the postflexion stage</p>
http://lod.bco-dmo.org/id/dataset-parameter/931441.rdf
Name: Transformation
Units: larvae per 1000 cubic meters
Description: <p>Abundance in the transformation stage</p>
http://lod.bco-dmo.org/id/dataset-parameter/931442.rdf
Name: Juv_Adult
Units: larvae per 1000 cubic meters
Description: <p>Abundance of juveniles and adults</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
8887
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/d7194108-39b5-43d5-b5dd-5f0c31de5dad/content
download
https://doi.org/10.26008/1912/bco-dmo.930162.1
download
onLine
dataset
<p>Data were collected on R/V Sally Ride cruise SR2114 in the Eastern Tropical North Pacific from December 2021 to January 2022.</p>
<p>The MOCNESS was equipped with 10 nets of 1 square meter (m^2) mouth opening and 333 micrometer (µm) mesh size, a SeaBird SBE9+ CTD, a SeaBird SBE 43 dissolved oxygen (DO) sensor, and flow meter and angle sensors. The MOCNESS tows were performed at locations of particular biological interest (see Figure 1 of Gutiérrez-Bravo, et al. (2024)), such as the CRTD (M1), San Jose submarine canyon (M2), the center (M3, M5) and borders (M4, M6) of two anticyclonic eddies (abbreviated ACE-1 and ACE-2), and across the northern portion of the OMZ (M7 and M8).</p>
<p>Using manufacturer software (SBE Data Processing), CTD data were filtered and aligned. CTD-rosette data were binned to 1-meter depth and MOCNESS data were binned to 10 seconds. Conservative Temperature and Absolute Salinity were calculated. CTD-rosette data were used to construct hydrographic sections, while MOCNESS sensor data were used to describe the environmental conditions of zooplankton samples.</p>
<p>The MOCNESS tows were performed at 1.5-2 knots net speed and at a 40-50° net angle. A horizontal net tow strategy was followed to sample selected dissolved oxygen (DO) concentrations (oxypleths) in five sampling levels: 1) the oxic level (~200 micromoles per kilogram (μmol/kg), near surface), 2) the hypoxic (~100 μmol/kg) and 3) suboxic (~10 μmol/kg) levels in the upper core boundary, 4) the anoxic core level (&lt;1 μmol/kg, at the center of the anoxic core), and 5) the deep level (~10 μmol/kg in the lower boundary below the anoxic core). The remaining 5 MONCESS nets were opened during transitions between target depths and were not used for this study. This horizontal sampling protocol allows for discrete, punctual sampling events, but cannot provide continuous, vertically-integrated abundances as oblique tows would (Wiebe et al. 2015). An example of the configuration of horizontal sampling levels along the water column is shown in Figure 2 of Gutiérrez-Bravo, et al. (2024). The oxic, hypoxic, and suboxic levels were sampled for ~10 minutes (~500 cubic meters (m^3) filtered volume). The deep and anoxic levels were sampled for ~20 minutes (~1000 m^3 filtered volume) to obtain sufficient sample material.</p>
<p>Due to time constraints and to eliminate any differences between stations caused by the phase of diel vertical migration, all the net deployments were performed during nighttime. Hence, the sampling results reflect nighttime distributions only.</p>
<p><strong>Sample handling:</strong><br />
Gelatinous organisms, non-planktonic groups, and excess water were removed from the samples after they were retrieved from the cod ends. The samples were preserved with Ethanol 96%. At least two ethanol changes were performed during the cruise and a third was performed on land.</p>
<p>Zooplankton biovolume was measured by the displacement method (Steedman 1976) and standardized to milliliters per 1000 cubic meters (mL/1000 m^3) by dividing the zooplankton displacement volume (mL) by the volume of water filtered by the net (m^3).</p>
<p>Fish larvae and juveniles were separated and counted under a stereoscope. Fish larvae were identified to the most specific taxonomic level possible, using a specialized bibliography (Evseenko 1990; Moser 1996; Aceves-Medina et al. 1999, 2003; Evseenko and Shtaut 2000; Richards 2005; Jiménez‐Rosenberg et al. 2006; González-Navarro et al. 2013; Silva-Segundo et al. 2021). The larval stages (preflexion, flexion, postflexion, and transformation) were defined according to Moser (1996). Preflexion and flexion larvae were considered "early larval stages" as they both lack fully-developed fins. Larval abundances were standardized to larvae per 1000 cubic meters (larvae/1000 m^3) and were considered absolute abundances.</p>
<p>Juveniles and adults were separated, counted, and identified to family level, except for the <em>Gonostomatidae</em>, that were represented entirely by the genus <em>Cyclothone</em>. Adult abundances were standardized to fish per 1000 cubic meters (fish/1000 m^3). Because the increased swimming ability of adult fish could affect fishing efficiency, abundances were considered relative, and should not be compared with the absolute abundances of fish larvae.</p>
Specified by the Principal Investigator(s)
- Created a table of the MOCNESS numbers and dates provided by the submitter.
- Imported original file "Net_data.xlsx" into the BCO-DMO system.
- Checked species names in WoRMS. All valid except "Opistonema spp." (a misspelling which has been corrected to "Opisthonema spp." in the final csv file)
- Renamed fields to comply with BCO-DMO naming conventions.
- Added the MOCNESS dates to the primary data table in YYYY-MM-DD format.
- Sorted data by MOC_Num then Stratum.
- Rounded fields:
-- Latitude and Longitude to 5 decimal places
-- All other number fields to 6 decimal places
- Saved the final file as "930162_v1_sr2114_moc_net_data.csv".
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
MOCNESS, SeaBird SBE9+ CTD
MOCNESS, SeaBird SBE9+ CTD
PI Supplied Instrument Name: MOCNESS, SeaBird SBE9+ CTD PI Supplied Instrument Description:The MOCNESS was equipped with 10 nets of 1 m^2 mouth opening and 333 µm mesh size, a SeaBird SBE9+ CTD, a SeaBird SBE 43 DO sensor, and flow meter and angle sensors. Instrument Name: CTD MOCNESS Instrument Short Name:CTD MOCNESS Instrument Description: The CTD part of the MOCNESS includes 1) a pressure (depth) sensor which is a thermally isolated titanium strain gauge with a standard range of 0-5000 decibars full scale, 2) A Sea Bird temperature sensor whose frequency output is measured and sent to the surface for logging and conversion to temperature by the software in the MOCNESS computer (The system allows better than 1 milli-degree resolution at 10 Hz sampling rate), and 3) A Sea Bird conductivity sensor whose output frequency is measured and sent to the surface for logging and conversion to conductivity by the software in the computer (The system allows better than 1 micro mho/cm at 10 Hz sampling rate). The data rate depends on the speed of the computer and the quality of the cable. With a good cable, the system can operate at 2400 baud, sampling all variables at 2 times per second. One sample every 4 seconds is the default, although the hardware can operate much faster. (From The MOCNESS Manual) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/131/
flow meter
flow meter
PI Supplied Instrument Name: flow meter Instrument Name: Flow Meter Instrument Short Name:Flow Meter Instrument Description: General term for a sensor that quantifies the rate at which fluids (e.g. water or air) pass through sensor packages, instruments, or sampling devices. A flow meter may be mechanical, optical, electromagnetic, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/388/
SeaBird SBE 43 DO sensor
SeaBird SBE 43 DO sensor
PI Supplied Instrument Name: SeaBird SBE 43 DO sensor Instrument Name: Sea-Bird SBE 43 Dissolved Oxygen Sensor Instrument Short Name:SBE-43 DO Instrument Description: The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/
Cruise: SR2114
SR2114
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel
SR2114
Mark A. Altabet
University of Massachusetts Dartmouth
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel