http://lod.bco-dmo.org/id/dataset/755088
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
2019-02-05
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Event log from R/V Sikuliaq SKQ201701S from January to February 2017
2019-01-10
publication
2019-01-10
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-07-13
publication
https://doi.org/10.26008/1912/bco-dmo.755088.1
Karen Wishner
University of Rhode Island
principalInvestigator
Christopher Neil Roman
University of Rhode Island
principalInvestigator
Brad Seibel
University of South Florida
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: Wishner, K., Roman, C., Seibel, B. (2021) Event log from R/V Sikuliaq SKQ201701S from January to February 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-01-10 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.755088.1 [access date]
Event log from Sikuliaq cruise SKQ201701S Dataset Description: <p>Date, time, and location of sampling operations.</p> Methods and Sampling:
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1459243 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1459243
completed
Karen Wishner
University of Rhode Island
401-874-6402
215 South Ferry Road
Narragansett
RI
02882
USA
kwishner@uri.edu
pointOfContact
Christopher Neil Roman
University of Rhode Island
508-274-0232
215 South Ferry Road
Narragansett
RI
02879
USA
croman2@uri.edu
pointOfContact
Brad Seibel
University of South Florida
401-744-4927
College of Marine Science 830 1st St SE
St. Petersburg
FL
33701
USA
seibel@usf.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Event_no
Gear_Type
Cast_no
Station
Tow_Type
Date_Local_MST
Date_UTC
Time_In_Local_MST
Time_Out_Local_MST
Time_In_UTC
Time_Out_UTC
Lat_In
Lon_In
Lat_Out
Lon_Out
Day_Night
Min_Depth
Max_Depth
Comments
date_time_in_UTC
date_time_in_MST
CTD
MOCNESS
Wire Flyer
Tucker trawl net
theme
None, User defined
event
event type
cast
station number
tow
date
time of day
latitude
longitude
latitude at end time of measurement
longitude at end time of measurement
No BCO-DMO term
depth
comments
ISO_DateTime_UTC
ISO_DateTime_Local
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird
MOCNESS
Sea-Bird SBE 49 FastCAT CTD Sensor
Tucker Trawl
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
-118.05
-116.5
21.22
22.42
2017-01-22
2017-02-11
Eastern Tropical North Pacific
0
BCO-DMO catalogue of parameters from Event log from R/V Sikuliaq SKQ201701S 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/755121.rdf
Name: Event_no
Units: unitless
Description: <p>event number</p>
http://lod.bco-dmo.org/id/dataset-parameter/755122.rdf
Name: Gear_Type
Units: unitless
Description: <p>gear type</p>
http://lod.bco-dmo.org/id/dataset-parameter/755123.rdf
Name: Cast_no
Units: unitless
Description: <p>cast number</p>
http://lod.bco-dmo.org/id/dataset-parameter/755124.rdf
Name: Station
Units: unitless
Description: <p>station</p>
http://lod.bco-dmo.org/id/dataset-parameter/755125.rdf
Name: Tow_Type
Units: unitless
Description: <p>tow type</p>
http://lod.bco-dmo.org/id/dataset-parameter/755126.rdf
Name: Date_Local_MST
Units: unitless
Description: <p>Date Local MST (MMDDYYYY)</p>
http://lod.bco-dmo.org/id/dataset-parameter/755128.rdf
Name: Date_UTC
Units: unitless
Description: <p>Date UTC (MMDDYYYY)</p>
http://lod.bco-dmo.org/id/dataset-parameter/755130.rdf
Name: Time_In_Local_MST
Units: unitless
Description: <p>Time In Local MST</p>
http://lod.bco-dmo.org/id/dataset-parameter/755131.rdf
Name: Time_Out_Local_MST
Units: unitless
Description: <p>Time Out Local MST</p>
http://lod.bco-dmo.org/id/dataset-parameter/755132.rdf
Name: Time_In_UTC
Units: unitless
Description: <p>Time In UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/755133.rdf
Name: Time_Out_UTC
Units: unitless
Description: <p>Time Out UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/755134.rdf
Name: Lat_In
Units: decimal degrees
Description: <p>Lat in; North is positive, negative denotes South</p>
http://lod.bco-dmo.org/id/dataset-parameter/755135.rdf
Name: Lon_In
Units: decimal degrees
Description: <p>Lon in; East is positive, negative denotes West</p>
http://lod.bco-dmo.org/id/dataset-parameter/755136.rdf
Name: Lat_Out
Units: decimal degrees
Description: <p>Lat Out; North is positive, negative denotes South</p>
http://lod.bco-dmo.org/id/dataset-parameter/755137.rdf
Name: Lon_Out
Units: decimal degrees
Description: <p>Lon Out; East is positive, negative denotes West</p>
http://lod.bco-dmo.org/id/dataset-parameter/755138.rdf
Name: Day_Night
Units: unitless
Description: <p>Day/Night</p>
http://lod.bco-dmo.org/id/dataset-parameter/755139.rdf
Name: Min_Depth
Units: meters (m)
Description: <p>min depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/755140.rdf
Name: Max_Depth
Units: meters (m)
Description: <p>max depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/755141.rdf
Name: Comments
Units: unitless
Description: <p>comments</p>
http://lod.bco-dmo.org/id/dataset-parameter/755162.rdf
Name: date_time_in_UTC
Units: unitless
Description: <p>date and time (UTC) in the water following ISO8601 yyyy-mm-ddTHH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/755340.rdf
Name: date_time_in_MST
Units: unitless
Description: <p>date and time local (MST) in the water following ISO8601 yyyy-mm-ddTHH:MM</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
12696
https://darchive.mblwhoilibrary.org/bitstream/1912/27334/1/dataset-755088_skq201701s-event-log__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.755088.1
download
onLine
dataset
<p>BCO-DMO Processing Notes:<br />
-&nbsp;added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- added&nbsp;date_MST and&nbsp;date_UTC to hold dates reformatted into yyyy-mm-dd.</p>
<p>&nbsp;</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
CTD
CTD
PI Supplied Instrument Name: CTD PI Supplied Instrument Description:CTD (Sikuliaq equipment, SeaBird rosette) Instrument Name: CTD Sea-Bird Instrument Short Name:CTD Sea-Bird Instrument Description: A Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics. This instrument designation is used when specific make and model are not known or when a more specific term is not available in the BCO-DMO vocabulary. Refer to the dataset-specific metadata for more information about the specific CTD used. More information from: http://www.seabird.com/ Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
MOCNESS
MOCNESS
PI Supplied Instrument Name: MOCNESS PI Supplied Instrument Description:MOCNESS (Wishner: Multiple Opening Closing Net and Environmental Sensing System (Wiebe et al. 1985), 1 m2 system, 8 or 9 nets, 222 µm mesh, updated software and Sea-Bird SBE911plusCTD system (SIO upgrades), day and night vertically- stratified and horizontally-sequenced tows, Wishner et al. 2018) Instrument Name: MOCNESS Instrument Short Name:MOCNESS Instrument Description: The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974). (from MOCNESS manual) Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0097/
Wire Flyer
Wire Flyer
PI Supplied Instrument Name: Wire Flyer PI Supplied Instrument Description:Wire Flyer (Roman development: oscillating deep towed hydrographic profiler with Sea-Bird 49 FastCAT CTD and Aanderaa 4831F oxygen sensor, Roman et al 2018) 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).
Tucker trawl net
Tucker trawl net
PI Supplied Instrument Name: Tucker trawl net PI Supplied Instrument Description:MTT + MOC (Seibel: large Tucker trawl net (3 m2 mouth, 100 m long) with MOCNESS software and sensors (Childress and Seibel 1998), large insulated closing cod end (Childress et al. 1978), live animal collections) Instrument Name: Tucker Trawl Instrument Short Name:Tucker Trawl Instrument Description: The original Tucker Trawl, a net with a rectangular mouth opening first built in 1951 by G.H. Tucker, was not an opening/closing system, but shortly thereafter it was modified so that it could be opened and closed. The original had a 183 cm by 183 cm flexible rectangular mouth opening 914 cm long net with 1.8 cm stretched mesh for the first 457 cm and 1.3 cm mesh for last 457 cm. 152 cm of coarse plankton or muslin netting lined the end of the net. Tucker designed the net to collect animals associated with the deep scattering layers, principally euphausiids, siphonophores, and midwater fish. (from Wiebe and Benfield, 2003). Currently used Tucker Trawls usually have 1-m2 openings and can have a single net or multiple nets on the frame. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0161/
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