http://lod.bco-dmo.org/id/dataset/860216
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
2021-09-08
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
4Hz data from 12 Wire Flyer deployments conducted on R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific from January to February 2017
2022-05-03
publication
2022-05-03
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-05-03
publication
https://doi.org/10.26008/1912/bco-dmo.860216.1
Christopher Neil Roman
University of Rhode Island
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: Roman, C. (2022) 4Hz data from 12 Wire Flyer deployments conducted on R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific from January to February 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-05-03 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.860216.1 [access date]
4Hz data from 12 Wire Flyer deployments in 2017 Dataset Description: Methods and Sampling: <p>Data were collected from Wire Flyer deployments from R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific during January and February 2017. These data are reported directly from the sensors or were calculated using the seawater toolbox. The data have not been corrected for any time lags.</p>
<p><strong>Known Problems/Issues:</strong><br />
There is some difference in the fluorometer data between the up and down casts. We are not sure what is causing this just yet. This can be seen as an obvious striping pattern in the profile plots. The oxygen sensor has a time lag of 5-7 seconds. Applying this amount of lag helps align the up and down casts well. The data here are not time shifted.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1458967 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1458967
completed
Christopher Neil Roman
University of Rhode Island
508-274-0232
215 South Ferry Road
Narragansett
RI
02879
USA
croman2@uri.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
deployment_id
Time_string
ISO_DateTime_UTC
Julian_day
Unix_time_sec
Lat
Lon
Depth_m
Vertical_velocity_m_per_sec_pos_down
Temperature_C
Pot_temperature_C
Pot_density
Pressure_db
Conductivity_sm
Salinity_PSU
Sound_velocity_m_per_sec
O2_con_umol
optode_temp_C
Air_sat_percent
Chlorophyll_ug_per_L
Turbidity_NTU
Aanderaa Optode 4831F
Seabird 49 Fast-CAT CTD
Wet Labs Flbb-2k
Wire Flyer
theme
None, User defined
deployment number
Date and time
ISO_DateTime_UTC
Julian day as a decimal (time elapsed in days from 00:00 on January 1st 4713 BC)
time of day
latitude
longitude
depth
vertical velocity towed
water temperature at measurement depth
potential temperature
density
water pressure
conductivity
salinity
sound velocity
dissolved Oxygen
No BCO-DMO term
chlorophyll a
turbidity
featureType
BCO-DMO Standard Parameters
Aanderaa 4831F (fast-response) oxygen optode
Sea-Bird SBE 49 FastCAT CTD Sensor
WETLabs ECO FLBB scattering fluorescence sensor
Wire Flyer Towed Profiling System
instrument
BCO-DMO Standard Instruments
SKQ201701S
service
Deployment Activity
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: A metabolic index to predict the consequences of climate change for midwater ecosystems
https://osprey.bco-dmo.org/project/663015
Collaborative Research: A metabolic index to predict the consequences of climate change for midwater ecosystems
<p><em>Description from NSF award abstract:</em><br />
With climate change, ocean temperatures are expected to increase which in turn will reduce oxygen availability and increase metabolic oxygen demand in marine organisms. The investigators will conduct shipboard physiological experiments for various marine organisms and determine their distributions in relation to environmental conditions within an oxygen minimum zone (OMZ) in the Eastern Pacific Ocean. The goal will be to model and map a Metabolic Index (MI) to predict how vertical and horizontal distributions for these species might change throughout the world's oceans in the future. The MI is defined as the ratio between environmental oxygen supply and temperature-dependent oxygen demand. Oxygen supply includes both the environmental oxygen concentration across a habitat range and the physiological features of organisms that facilitate oxygen uptake, such as gills and circulatory systems. Thus, the MI will integrate measured tolerance and environmental exposure to low oxygen with environmental data. The investigators will measure tolerance to low oxygen, focusing on under-studied organisms, including the effect of temperature and organism size. They will sample along a natural gradient in oxygen content south of the California Current in the Eastern Pacific. The science team and a videographer will develop a blog about deep-sea biology and climate change using web-based and video technologies. Four graduate students will be funded on this project, and in conjunction with a recently developed course in pelagic ecology, several undergraduates will have the opportunity to participate in seagoing research.</p>
<p>This research fills a critical need for a physiology-based metric that can be used to predict changing marine communities as the oceans warm and hypoxic zones expand. Modern OMZs are extensive and characterized by deep-water (300-800 m) oxygen partial pressures lethal to most marine organisms, yet thriving communities exist there. Climate change is predicted to further deplete oxygen. The investigators will model and map a Metabolic Index (MI) for diverse marine species to help predict how in vertical and horizontal distributions of species may change throughout the world's oceans in the future. The MI will derive oxygen supply and demand data from published and planned measurements of the minimum environmental partial pressure of oxygen to which individual species are exposed (based on their distributions in the water column) and the minimum requirements to support routine aerobic metabolic demand (from shipboard respiration measurements of individuals). During research cruises in the Eastern Pacific along a gradient of OMZ intensity, the investigators will conduct shipboard physiological measurements to determine metabolic demand for understudied mesozooplankton and gelatinous taxa and determine the size- and temperature dependence for diverse species for incorporation into the MI. Vertically-stratified net sampling and in situ photography will identify and characterize unique OMZ community features, such as the lower oxycline biomass peak present in some OMZs and the oxygen-dependence of day and night habitat depths for vertically-migrating species. The MI will be mapped using climatological data to both test and generate hypotheses about the response of oceanic communities to climate change. In preliminary analysis, the MI suggests a metabolic constraint at a MI of ~2 that may act to limit vertical and horizontal habitat ranges.</p>
Metabolic Index
largerWorkCitation
project
eng; USA
oceans
-118.58995
-117.01326
21.22662
22.60449
2017-01-25
2017-02-12
Eastern Tropical North Pacific
0
BCO-DMO catalogue of parameters from 4Hz data from 12 Wire Flyer deployments conducted on R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific from January to February 2017
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/860320.rdf
Name: deployment_id
Units: unitless
Description: <p>identifier for the deployment; indicates the start date and time of deployment in format: YYYYMMDD_hhmmss (time zone is GMT)</p>
http://lod.bco-dmo.org/id/dataset-parameter/860321.rdf
Name: Time_string
Units: unitless
Description: <p>date-time string (GMT) in format where xxx represent milliseconds: YYYY-MM-DD hh:mm:ss.xxx</p>
http://lod.bco-dmo.org/id/dataset-parameter/860322.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>date-time string converted to ISO8601 format: YYYY-MM-DDThh:mm:ss.xxxxxxZ. Note that data are accurate to milliseconds (not microseconds)</p>
http://lod.bco-dmo.org/id/dataset-parameter/860323.rdf
Name: Julian_day
Units: unitless
Description: <p>Julian day</p>
http://lod.bco-dmo.org/id/dataset-parameter/860324.rdf
Name: Unix_time_sec
Units: seconds
Description: <p>Unix time</p>
http://lod.bco-dmo.org/id/dataset-parameter/860325.rdf
Name: Lat
Units: degrees North
Description: <p>latitude of the Wire Flyer</p>
http://lod.bco-dmo.org/id/dataset-parameter/860326.rdf
Name: Lon
Units: degrees East
Description: <p>longitude of the Wire Flyer</p>
http://lod.bco-dmo.org/id/dataset-parameter/860327.rdf
Name: Depth_m
Units: meters (m)
Description: <p>depth calculated using seawater toolbox</p>
http://lod.bco-dmo.org/id/dataset-parameter/860328.rdf
Name: Vertical_velocity_m_per_sec_pos_down
Units: meters per second (m/s)
Description: <p>vertical velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/860329.rdf
Name: Temperature_C
Units: degrees Celsius
Description: <p>temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/860330.rdf
Name: Pot_temperature_C
Units: degrees Celsius
Description: <p>potential temperature calculated using seawater toolbox</p>
http://lod.bco-dmo.org/id/dataset-parameter/860331.rdf
Name: Pot_density
Units: kilograms per cubic meter (kg/m^3)
Description: <p>potential density calculated using seawater toolbox</p>
http://lod.bco-dmo.org/id/dataset-parameter/860332.rdf
Name: Pressure_db
Units: decibars (db)
Description: <p>pressure</p>
http://lod.bco-dmo.org/id/dataset-parameter/860333.rdf
Name: Conductivity_sm
Units: siemens-meter (sm)
Description: <p>conductivity</p>
http://lod.bco-dmo.org/id/dataset-parameter/860334.rdf
Name: Salinity_PSU
Units: PSU
Description: <p>salinity calculated using seawater toolbox</p>
http://lod.bco-dmo.org/id/dataset-parameter/860335.rdf
Name: Sound_velocity_m_per_sec
Units: meters per second (m/s)
Description: <p>sound velocity calculated using seawater toolbox</p>
http://lod.bco-dmo.org/id/dataset-parameter/860336.rdf
Name: O2_con_umol
Units: micromoles (umol)
Description: <p>oxygen concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/860337.rdf
Name: optode_temp_C
Units: degrees Celsius
Description: <p>optode temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/860338.rdf
Name: Air_sat_percent
Units: unitless (percent)
Description: <p>air percent saturation</p>
http://lod.bco-dmo.org/id/dataset-parameter/860340.rdf
Name: Chlorophyll_ug_per_L
Units: micrograms per liter (ug/L)
Description: <p>chlorophyll</p>
http://lod.bco-dmo.org/id/dataset-parameter/860341.rdf
Name: Turbidity_NTU
Units: NTU
Description: <p>turbidity</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
332004480
https://darchive.mblwhoilibrary.org/bitstream/1912/28636/1/dataset-860216_2017-wire-flyer-4hz-data__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.860216.1
download
onLine
dataset
<p>Data were collected from Wire Flyer deployments from R/V Sikuliaq cruise SKQ201701S in the Eastern Tropical North Pacific during January and February 2017. These data are reported directly from the sensors or were calculated using the seawater toolbox. The data have not been corrected for any time lags.</p>
<p><strong>Known Problems/Issues:</strong><br />
There is some difference in the fluorometer data between the up and down casts. We are not sure what is causing this just yet. This can be seen as an obvious striping pattern in the profile plots. The oxygen sensor has a time lag of 5-7 seconds. Applying this amount of lag helps align the up and down casts well. The data here are not time shifted.</p>
Specified by the Principal Investigator(s)
<p>These data have not been processed to any significant extent. The latitude and longitude positions reported are for the Wire Flyer vehicle, and not the ship. This position was calculated using measurements of the clump weight depth and the wire payout.</p>
<p><strong>BCO-DMO Processing:</strong><br />
- concatenated data from 12 separate files into one dataset;<br />
- created new column "deployment_id" (based on original file name);<br />
- converted date/time field to ISO8601 format.</p>
Specified by the Principal Investigator(s)
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
Aanderaa Optode 4831F
Aanderaa Optode 4831F
PI Supplied Instrument Name: Aanderaa Optode 4831F PI Supplied Instrument Description:Oxygen data is from an Aanderaa Optode 4831F. Instrument Name: Aanderaa 4831F (fast-response) oxygen optode Instrument Short Name:Aanderaa 4831F Instrument Description: A stand-alone oxygen optode with integrated temperature sensor, manufactured by Aanderaa. This instrument exploits the physio-chemical principle of dynamic fluorescence quenching to measure absolute oxygen concentration and percent saturation. Depth rating: 300 m, 3000 m or 6000 m; oxygen concentration accuracy of < 8 uM or 5 %, and resolution of < 1 uM; air saturation accuracy of < 5 %, and resolution of 0.4 %; response time (63 %): < 8 s.
Seabird 49 Fast-CAT CTD
Seabird 49 Fast-CAT CTD
PI Supplied Instrument Name: Seabird 49 Fast-CAT CTD PI Supplied Instrument Description:Temperature, salinity and depth are from a Seabird 49 Fast-CAT CTD. Instrument Name: Sea-Bird SBE 49 FastCAT CTD Sensor Instrument Short Name:SBE-49 Instrument Description: The SBE 49 FastCAT is a CTD sensor for use in autonomous platforms. It contains a SBE 3P temperature sensor, a SBE 4C conductivity sensor and a strain-gauge pressure sensor as standard. It can operate in autonomus (16 Hz per sec) or polled mode (transmits each sample). The sensor is depth-rated to 350 m (plastic housing) or 7000 m (titanium housing). Accuracy: +/- 0.002 deg C (temperature), +/- 0.0003 S/m (conductivity), 0.1% of full scale range (pressure).
Wet Labs Flbb-2k
Wet Labs Flbb-2k
PI Supplied Instrument Name: Wet Labs Flbb-2k PI Supplied Instrument Description:The Chl and turbidity are from a Wet Labs Flbb-2k, 470/695 nm Chl-a and 700nm turbidity. Instrument Name: WETLabs ECO FLBB scattering fluorescence sensor Instrument Short Name:WETLabs ECO FLBB Instrument Description: A dual-optical-sensor that carries a single-wavelength chlorophyll fluorometer (470nm ex/695nm em) and backscattering sensor (700 nm) that measures phytoplankton and particle concentration. It operates by using blue (470nm) and red (700 nm) LEDs that alternately flash. The blue LED stimulates chlorophyll fluorescence in plants while the red light illuminates the total particle field. The backscattering sensor has an in-water centroid angle of 142 degrees and can be calibrated to measure turbidity. The fluorometer can typically measure phytoplankton concentrations in the range 0-30 ug/l, with a sensitivity of 0.015 ug/l. The backscattering sensor can measure within the range 0-3 m-1, with a sensitivity of 0.0015 m-1. The instrument output in the standard version is digital and uses a low power mode and stores data. Other variants are used. The instrument is rated to a depth of 600m as standard, with the options of deeper instruments rated up to 6000m and instruments with bio-wipers, rated to 300 m.
This instrument comes in the following optional models: FLbb(RT), FLbb(RT)D, FLbbB, FLbbS, FLbbBS, FLbb2k. Refer to the datasheet from the manufacturer: https://www.seabird.com/asset-get.download.jsa?id=55460873804
Wire Flyer
Wire Flyer
PI Supplied Instrument Name: Wire Flyer Instrument Name: Wire Flyer Towed Profiling System Instrument Short Name:Wire Flyer Instrument Description: Description from Roman et al. (2019):
The Wire Flyer towed vehicle is a platform able to collect high-resolution water column sections. The vehicle is motivated by a desire to effectively capture spatial structures at the submesoscale. The Wire Flyer profiles up and down along a ship-towed cable autonomously using controllable wings for propulsion. At ship speeds between 2 and 5 kt (1.02–2.55 m s−1), the vehicle is able to profile over prescribed depth bands down to 1000 m. The vehicle carries sensors for conductivity, temperature, depth, oxygen, turbidity, chlorophyll, pH, and oxidation reduction potential. During normal operations, the vehicle is typically commanded to cover vertical regions between 300 and 400 m in height with profiles that repeat at kilometer spacing. The vertical profiling speed can be user-specified up to 150 m min−1. During operations, an acoustic modem is used to communicate with the vehicle to provide status information, data samples, and the ability to modify the sampling pattern.
Detailed information can be found in the following publication:
Roman, C., Ullman, D. S., Hebert, D., & Licht, S. (2019). The Wire Flyer Towed Profiling System. Journal of Atmospheric and Oceanic Technology, 36(2), 161–182. doi:10.1175/jtech-d-17-0180.1
Cruise: SKQ201701S
SKQ201701S
R/V Sikuliaq
Community Standard Description
International Council for the Exploration of the Sea
R/V Sikuliaq
vessel
SKQ201701S
Brad Seibel
University of Hawai'i
R/V Sikuliaq
Community Standard Description
International Council for the Exploration of the Sea
R/V Sikuliaq
vessel