http://lod.bco-dmo.org/id/dataset/679447
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
2017-01-30
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Amino acid compound-specific isotope analysis (AA-CSIA) of tissue samples from four distinct trophic groups across the food web in the pelagic eastern tropical Pacific Ocean; samples collected on NOAA cruises from July to December 2006
2017-01-30
publication
2017-01-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-08-06
publication
https://doi.org/10.1575/1912/bco-dmo.679447.1
Robert Olson
Inter-American Tropical Tuna Commission
principalInvestigator
Brian N. Popp
University of Hawaii
principalInvestigator
Jeffrey C. Drazen
University of Hawaii
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: Olson, R., Popp, B., Drazen, J. (2017) Amino acid compound-specific isotope analysis (AA-CSIA) of tissue samples from four distinct trophic groups across the food web in the pelagic eastern tropical Pacific Ocean; samples collected on NOAA cruises from July to December 2006. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-01-30 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.679447.1 [access date]
Amino acid compound-specific isotope analysis (AA-CSIA) of tissue samples from four distinct trophic groups across the food web in the pelagic eastern tropical Pacific Ocean Dataset Description: <p>Amino acid compound-specific isotope analysis (AA-CSIA) of tissue samples from four distinct trophic groups across the food web in the pelagic eastern tropical Pacific Ocean: macrozooplankton (euphausiid crustaceans), micronekton (myctophid fishes), cephalopods (squids), and micronektonivores (tunas). Samples were collected onboard two NOAA research ships and numerous commercial tuna purse-seine vessels.</p>
<p><strong>Related publication:</strong><br />
Hetherington E.D., Olson R.J., Drazen J.C., Lennert-Cody C.E., Ballance L.T., Kaufmann R.S., and Popp B.N. (2016). Spatial food-web structure in the eastern tropical Pacific Ocean based on compound-specific nitrogen isotope analysis of amino acids. Limnology and Oceanography. doi:<a href="http://dx.doi.org/10.1002/lno.10443" target="_blank">10.1002/lno.10443</a></p> Methods and Sampling: <p><strong>Sampling Methodology:</strong>&nbsp;Zooplankton, small mesopelagic fishes, and squids were collected from July 28 to December 8, 2006 during the National Oceanic and Atmospheric Administration’s (NOAA's) <em>Stenella</em> Abundance Research (STAR) surveys (Gerrodette et al. 2008). We defined our study area to include a subset of sample locations from the STAR surveys based on the presence of both east-west and north-south productivity gradients across the region, with greater surface chlorophyll <em>a</em> concentrations at the eastern end of the study area and along the equator, according to published oceanographic data. Zooplankton samples were collected with a cylindrical-conical bongo net (333 um mesh), fished to 200 m approximately two hours after sunset, and the samples were frozen within one hour of collection. Specimens of euphausiid crustaceans, <em>Euphausia distinguenda</em> (Ed) and <em>E. tenera </em>(Et) were sorted from the thawed zooplankton samples in the laboratory. Specimens of mesopelagic myctophid fishes <em>Myctophum nitidulum</em> (Mn) and <em>Symbolophorus reversus</em> (Sr) were collected by dipnet at night. Specimens of the squids <em>Dosidicus gigas</em> (Dg) and <em>Sthenoteuthis oualaniensis</em> (So) also were collected at night, using handlines and jigs. (See Olson et al. 2010, Philbrick et al. 2001 for detailed methods).</p>
<p>Three species of tuna, yellowfin (Ta.; <em>Thunnus albacares</em>), skipjack (Kp.; <em>Katsuwonus pelamis</em>), and bigeye (To.; <em>Thunnus obesus</em>) tunas, were sampled year-round during 2003-2005 by observers of the Inter-American Tropical Tuna Commission onboard purse-seine fishing vessels. Samples of dorsal white muscle were taken from each fish adjacent to the second dorsal fin. Fish of uniform size were used for analysis: skipjack tuna 450-550 mm, yellowfin tuna 500-700 mm, and bigeye tuna 450-550 mm. All samples were stored frozen until further processing in the laboratory.</p>
<p><strong>Analytical Methodology:</strong>&nbsp; Methods are described in Hetherington et al. (2016). Briefly: Amino acid (AA) compound-specific isotope analysis (AA-CSIA) was conducted on a subset of 48 of the samples used for isotopic analysis of bulk muscle tissue or whole animals. The basis for sample selection was to represent the range of variability in bulk δ<sup>15</sup>N values and the range of sample locations along the transect. The d<sup>15</sup>N values of individual AAs were measured using an isotope ratio mass spectrometer (IRMS) (Delta PlusXP, Delta V Plus or MAT 253) interfaced with a gas chromatograph (Trace GC) through a GC-C III combustion furnace (980 degrees C), reduction furnace (650 degrees C), and liquid-N cold trap. All samples were analyzed in triplicate and the measured AA-d<sup>15</sup>N values were normalized to known d<sup>15</sup>N values of two coinjected internal reference compounds (norleucine and aminoadipic acid with d<sup>15</sup>N reference values of 19.06 ‰ and -5.8 ‰, respectively).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1040810 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1040810
completed
Robert Olson
Inter-American Tropical Tuna Commission
MS #32
Woods Hole
MA
02543
USA
rolson@whoi.edu
pointOfContact
Brian N. Popp
University of Hawaii
808-956-6206
Department of Earth Sciences 1680 East-West Road
Honolulu
HI
96822
USA
popp@hawaii.edu
pointOfContact
Jeffrey C. Drazen
University of Hawaii
808-956-6567
Department of Oceanography, SOEST 1000 Pope Road
Honolulu
HI
96822
USA
jdrazen@hawaii.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
species
sample_number
date_analyzed
Alanine_Avg
Alanine_SD
Glycine_Avg
Glycine_SD
Threonine_Avg
Threonine_SD
Serine_Avg
Serine_SD
Valine_Avg
Valine_SD
Leucine_Avg
Leucine_SD
Isoleucine_Avg
Isoleucine_SD
Proline_Avg
Proline_SD
AsparticAcid_Avg
AsparticAcid_SD
Methionine_Avg
Methionine_SD
GlutamicAcid_Avg
GlutamicAcid_SD
Phenylalanine_Avg
Phenylalanine_SD
Tyrosine_Avg
Tyrosine_SD
Lysine_Avg
Lysine_SD
Arginine_Avg
Arginine_SD
Histidine_Avg
Histidine_SD
cylindrical-conical bongo net
isotope ratio mass spectrometer (IRMS)
gas chromatograph (Trace GC)
purse-seine fishing
dipnet
handlines and jigs
theme
None, User defined
species
sample identification
date
d15N measured in biota
standard deviation
featureType
BCO-DMO Standard Parameters
Bongo Net
Isotope-ratio Mass Spectrometer
Gas Chromatograph
Purse-seine Fishing Gear
Hand Net
Handline and Jig
instrument
BCO-DMO Standard Instruments
SWFSC1630
SWFSC1631
service
Deployment Activity
Eastern tropical Pacific Ocean
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.
Comparative Analysis of Marine Ecosystem Organization
http://www.nsf.gov/geo/oce/programs/CAMEO_Webpage.jsp
Comparative Analysis of Marine Ecosystem Organization
CAMEO Science Plan (2012).
The Comparative Analysis of Marine Ecosystem Organization (CAMEO) program was implemented as a partnership between the NOAA National Marine Fisheries Service and National Science Foundation Division of Ocean Sciences. The purpose of CAMEO was to strengthen the scientific basis for an ecosystem approach to the stewardship of our ocean and coastal living marine resources. The program supported fundamental research to understand complex dynamics controlling ecosystem structure, productivity, behavior, resilience, and population connectivity, as well as effects of climate variability and anthropogenic pressures on living marine resources and critical habitats. CAMEO encouraged the development of multiple approaches, such as ecosystem models and comparative analyses of managed and unmanaged areas (e.g., marine protected areas) that can ultimately form a basis for forecasting and decision support. Central to the program was the emphasis on collaborations between academic and private researchers and federal agency scientists with mission responsibilities to inform ecosystem management activities. (adapted from CAMEO website)
This funding opportunity implemented CAMEO research by supporting the development of research tools and strategic approaches through the following types of proposals:
1. Development of strategies and methodologies for comparative analyses that can be applied consistently across spatial and temporal scales and ecosystems, and that facilitate the design of decision support tools for marine populations, ecosystems and habitats.
2. Development of models that address key scientific questions by comparing ecosystems and ecosystem processes. Models that are geographically and temporally portable, and that incorporate assessment of modeling skill, are particularly encouraged.
3. Retrospective studies that analyze, re-analyze or synthesize existing information (historic, time-series, ongoing program, etc.) using a comparative approach.
4. Studies that integrate the human dimension within ecosystem dynamics. The CAMEO program seeks to promote interdisciplinary research using comparative approaches to link marine ecosystem research with the social and behavioral sciences in new and vital ways.
To guide program priorities, a Science Steering Committee was formed through Dr. Linda Deegan and the initial Scientific Planning Office at the Marine Biological Laboratory in Woods Hole, MA. This Committee was designed to provide scientific advice and broad direction to NOAA and NSF regarding the CAMEO program.
CAMEO
largerWorkCitation
program
CAMEO 2009 - A novel tool for validating trophic position estimates in ecosystem-based fisheries models
http://cameo.noaa.gov/pres_bpopp.html
CAMEO 2009 - A novel tool for validating trophic position estimates in ecosystem-based fisheries models
<p>(<em>From NSF Award Abstract</em>)</p>
<p>Evidence increasingly demonstrates that selective removal of marine life can induce restructuring of marine food webs. Trophic structure is the central component of mass balance models, widely used tools to evaluate fisheries in an ecosystem context. Food web structure is commonly determined by stomach contents or by bulk tissue stable isotope analyses, both of which are limited in terms of resolution and versatility. The investigators will refine a tool, Amino Acid Compound-Specific Isotopic Analyses (AA-CSIA), which can be broadly applicable for quantifying the time-integrated trophic position (TP) of consumers. Differences in source and trophic nitrogen isotopic composition for specific amino acids will provide an unambiguous and integrated measure of fractional trophic TP across multiple phyla, regardless of an animal's physiological condition or of the biogeochemical cycling at the base of the food web. AA-CSIA will allow testing of the efficacy of trophic position estimates derived from ecosystem-based models and promote the evolution of these models into decision-support tools.</p>
<p>This project has three goals: 1. To validate the application of AA-CSIA across multiple marine phyla under differing physiological conditions. 2. To compare the application of AA-CSIA across systems with contrasting biogeochemical cycling regimes. 3. To develop the use of AA-CSIA TP estimates for validating trophic models of exploited ecosystems. The investigators will test and refine the approach using a combination of laboratory feeding experiments and field studies across regions with differing biogeochemical cycling regimes. They will determine the applicability of the AA-CSIA approach in a variety of marine organisms assessed in controlled studies. Subsequently, ecosystem components will be sampled from the eastern tropical Pacific, coastal California and the subtropical Pacific gyre. They will also test the effects of sample preservation on the isotopic composition of individual AA to determine whether the approach can be used on archived samples. This tool will allow testing of the efficacy of ecosystem-based models currently used to gain insight into the ecological effects of fisheries removals and improve the reliability of future models required to manage marine resources. In addition to the goal of developing AA-CSIA for use as a TP indicator, the information obtained through this project will provide important species-specific biological data on the feeding behavior of marine organisms that could have implications for their resilience to anthropogenic pressures and climate change.</p>
CAMEO_Trophic_Position
largerWorkCitation
project
eng; USA
oceans
Eastern tropical Pacific Ocean
2006-07-28
2006-12-08
Subtropical North Pacific Ocean
0
BCO-DMO catalogue of parameters from Amino acid compound-specific isotope analysis (AA-CSIA) of tissue samples from four distinct trophic groups across the food web in the pelagic eastern tropical Pacific Ocean; samples collected on NOAA cruises from July to December 2006
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/679592.rdf
Name: species
Units: unitless
Description: Name of the species
http://lod.bco-dmo.org/id/dataset-parameter/679593.rdf
Name: sample_number
Units: unitless
Description: Sample identification number
http://lod.bco-dmo.org/id/dataset-parameter/679594.rdf
Name: date_analyzed
Units: unitless
Description: Date on which AA-CSIA analysis of corresponding sample was begun; formatted as yyyy-mm-dd
http://lod.bco-dmo.org/id/dataset-parameter/679595.rdf
Name: Alanine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Alanine
http://lod.bco-dmo.org/id/dataset-parameter/679596.rdf
Name: Alanine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Alanine
http://lod.bco-dmo.org/id/dataset-parameter/679597.rdf
Name: Glycine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Glycine
http://lod.bco-dmo.org/id/dataset-parameter/679598.rdf
Name: Glycine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Glycine
http://lod.bco-dmo.org/id/dataset-parameter/679599.rdf
Name: Threonine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Threonine
http://lod.bco-dmo.org/id/dataset-parameter/679600.rdf
Name: Threonine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Threonine
http://lod.bco-dmo.org/id/dataset-parameter/679601.rdf
Name: Serine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Serine
http://lod.bco-dmo.org/id/dataset-parameter/679602.rdf
Name: Serine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Serine
http://lod.bco-dmo.org/id/dataset-parameter/679603.rdf
Name: Valine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Valine
http://lod.bco-dmo.org/id/dataset-parameter/679604.rdf
Name: Valine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Valine
http://lod.bco-dmo.org/id/dataset-parameter/679605.rdf
Name: Leucine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Leucine
http://lod.bco-dmo.org/id/dataset-parameter/679606.rdf
Name: Leucine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Leucine
http://lod.bco-dmo.org/id/dataset-parameter/679607.rdf
Name: Isoleucine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Isoleucine
http://lod.bco-dmo.org/id/dataset-parameter/679608.rdf
Name: Isoleucine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Isoleucine
http://lod.bco-dmo.org/id/dataset-parameter/679609.rdf
Name: Proline_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Proline
http://lod.bco-dmo.org/id/dataset-parameter/679610.rdf
Name: Proline_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Proline
http://lod.bco-dmo.org/id/dataset-parameter/679611.rdf
Name: AsparticAcid_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Aspartic Acid
http://lod.bco-dmo.org/id/dataset-parameter/679612.rdf
Name: AsparticAcid_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Aspartic Acid
http://lod.bco-dmo.org/id/dataset-parameter/679613.rdf
Name: Methionine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Methionine
http://lod.bco-dmo.org/id/dataset-parameter/679614.rdf
Name: Methionine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Methionine
http://lod.bco-dmo.org/id/dataset-parameter/679615.rdf
Name: GlutamicAcid_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Glutamic Acid
http://lod.bco-dmo.org/id/dataset-parameter/679616.rdf
Name: GlutamicAcid_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Glutamic Acid
http://lod.bco-dmo.org/id/dataset-parameter/679617.rdf
Name: Phenylalanine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Phenylalanine
http://lod.bco-dmo.org/id/dataset-parameter/679618.rdf
Name: Phenylalanine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Phenylalanine
http://lod.bco-dmo.org/id/dataset-parameter/679619.rdf
Name: Tyrosine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Tyrosine
http://lod.bco-dmo.org/id/dataset-parameter/679620.rdf
Name: Tyrosine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Tyrosine
http://lod.bco-dmo.org/id/dataset-parameter/679621.rdf
Name: Lysine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Lysine
http://lod.bco-dmo.org/id/dataset-parameter/679622.rdf
Name: Lysine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Lycine
http://lod.bco-dmo.org/id/dataset-parameter/679623.rdf
Name: Arginine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Arginine
http://lod.bco-dmo.org/id/dataset-parameter/679624.rdf
Name: Arginine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Arginine
http://lod.bco-dmo.org/id/dataset-parameter/679625.rdf
Name: Histidine_Avg
Units: parts per thousand (per mil, ‰)
Description: mean d15N value of Histidine
http://lod.bco-dmo.org/id/dataset-parameter/679626.rdf
Name: Histidine_SD
Units: parts per thousand (per mil, ‰)
Description: standard deviation of d15N values of Histidine
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
9330
https://darchive.mblwhoilibrary.org/bitstream/1912/24421/1/dataset-679447_aa-csia-olson__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.679447.1
download
onLine
dataset
<p><strong>Sampling Methodology:</strong>&nbsp;Zooplankton, small mesopelagic fishes, and squids were collected from July 28 to December 8, 2006 during the National Oceanic and Atmospheric Administration’s (NOAA's) <em>Stenella</em> Abundance Research (STAR) surveys (Gerrodette et al. 2008). We defined our study area to include a subset of sample locations from the STAR surveys based on the presence of both east-west and north-south productivity gradients across the region, with greater surface chlorophyll <em>a</em> concentrations at the eastern end of the study area and along the equator, according to published oceanographic data. Zooplankton samples were collected with a cylindrical-conical bongo net (333 um mesh), fished to 200 m approximately two hours after sunset, and the samples were frozen within one hour of collection. Specimens of euphausiid crustaceans, <em>Euphausia distinguenda</em> (Ed) and <em>E. tenera </em>(Et) were sorted from the thawed zooplankton samples in the laboratory. Specimens of mesopelagic myctophid fishes <em>Myctophum nitidulum</em> (Mn) and <em>Symbolophorus reversus</em> (Sr) were collected by dipnet at night. Specimens of the squids <em>Dosidicus gigas</em> (Dg) and <em>Sthenoteuthis oualaniensis</em> (So) also were collected at night, using handlines and jigs. (See Olson et al. 2010, Philbrick et al. 2001 for detailed methods).</p>
<p>Three species of tuna, yellowfin (Ta.; <em>Thunnus albacares</em>), skipjack (Kp.; <em>Katsuwonus pelamis</em>), and bigeye (To.; <em>Thunnus obesus</em>) tunas, were sampled year-round during 2003-2005 by observers of the Inter-American Tropical Tuna Commission onboard purse-seine fishing vessels. Samples of dorsal white muscle were taken from each fish adjacent to the second dorsal fin. Fish of uniform size were used for analysis: skipjack tuna 450-550 mm, yellowfin tuna 500-700 mm, and bigeye tuna 450-550 mm. All samples were stored frozen until further processing in the laboratory.</p>
<p><strong>Analytical Methodology:</strong>&nbsp; Methods are described in Hetherington et al. (2016). Briefly: Amino acid (AA) compound-specific isotope analysis (AA-CSIA) was conducted on a subset of 48 of the samples used for isotopic analysis of bulk muscle tissue or whole animals. The basis for sample selection was to represent the range of variability in bulk δ<sup>15</sup>N values and the range of sample locations along the transect. The d<sup>15</sup>N values of individual AAs were measured using an isotope ratio mass spectrometer (IRMS) (Delta PlusXP, Delta V Plus or MAT 253) interfaced with a gas chromatograph (Trace GC) through a GC-C III combustion furnace (980 degrees C), reduction furnace (650 degrees C), and liquid-N cold trap. All samples were analyzed in triplicate and the measured AA-d<sup>15</sup>N values were normalized to known d<sup>15</sup>N values of two coinjected internal reference compounds (norleucine and aminoadipic acid with d<sup>15</sup>N reference values of 19.06 ‰ and -5.8 ‰, respectively).</p>
Specified by the Principal Investigator(s)
<p><strong>Data processing: </strong>Stable isotope analysis of carbon and nitrogen isotopes measures the ratio of the heavier, rare isotope to the lighter, more common isotope (<sup>13</sup>C:<sup>12</sup>C or δ<sup>13</sup>C;<sup>15</sup>N:<sup>14</sup>N or δ<sup>15</sup>N) expressed as parts per mil (‰) relative to a standard (air for N, V-PDB for C).</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
cylindrical-conical bongo net
cylindrical-conical bongo net
PI Supplied Instrument Name: cylindrical-conical bongo net PI Supplied Instrument Description:Zooplankton samples were collected with a cylindrical-conical bongo net (333 um mesh), fished to 200 m approximately two hours after sunset. Instrument Name: Bongo Net Instrument Short Name:Bongo Net Instrument Description: A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete "known-depth" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0009/
isotope ratio mass spectrometer (IRMS)
isotope ratio mass spectrometer (IRMS)
PI Supplied Instrument Name: isotope ratio mass spectrometer (IRMS) PI Supplied Instrument Description:The d15N values of individual AAs were measured using an isotope ratio mass spectrometer (IRMS) (Delta PlusXP, Delta V Plus or MAT 253) interfaced with a gas chromatograph (Trace GC) through a GC-C III combustion furnace (980 degrees C), reduction furnace (650 degrees C), and liquid-N cold trap. Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS Instrument Description: The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/
gas chromatograph (Trace GC)
gas chromatograph (Trace GC)
PI Supplied Instrument Name: gas chromatograph (Trace GC) PI Supplied Instrument Description:The d15N values of individual AAs were measured using an isotope ratio mass spectrometer (IRMS) (Delta PlusXP, Delta V Plus or MAT 253) interfaced with a gas chromatograph (Trace GC) through a GC-C III combustion furnace (980 degrees C), reduction furnace (650 degrees C), and liquid-N cold trap. Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/
purse-seine fishing
purse-seine fishing
PI Supplied Instrument Name: purse-seine fishing PI Supplied Instrument Description:Three species of tuna, yellowfin (Ta.; Thunnus albacares), skipjack (Kp.; Katsuwonus pelamis), and bigeye (To.; Thunnus obesus) tunas, were sampled year-round during 2003-2005 by observers of the Inter-American Tropical Tuna Commission onboard purse-seine fishing vessels. Instrument Name: Purse-seine Fishing Gear Instrument Short Name:Purse-seine Instrument Description: A purse seine is a large wall of netting deployed in a circle around an entire school of fish. The seine has floats along the top line with a lead line of chain along the bottom. Once a school of fish is located, a skiff pulls the seine into the water as the vessel encircles the school with the net. A cable running along the bottom is then pulled in, "pursing" the net closed on the bottom, preventing fish from escaping by swimming downward. The catch is harvested by bringing the net alongside the vessel and brailing the fish aboard.
dipnet
dipnet
PI Supplied Instrument Name: dipnet PI Supplied Instrument Description:Specimens of mesopelagic myctophid fishes Myctophum nitidulum (Mn) and Symbolophorus reversus (Sr) were collected by dipnet at night. Instrument Name: Hand Net Instrument Short Name:Hand Net Instrument Description: A hand net (also called a scoop net or dip net) is a net or mesh basket held open by a hoop. They are used for scooping fish near the surface of the water.
handlines and jigs
handlines and jigs
PI Supplied Instrument Name: handlines and jigs PI Supplied Instrument Description:Specimens of the squids Dosidicus gigas (Dg) and Sthenoteuthis oualaniensis (So) also were collected at night, using handlines and jigs. Instrument Name: Handline and Jig Instrument Short Name:Handline and Jig Instrument Description: Handline fishing, or handlining, is a fishing technique where a single fishing line is held in the hands. A handline is a relatively large diameter line that can be pulled by hand, and it has a jig attached at the end. Handlines are frequently used for catching fish or squid that are schooling near the surface, thus a long haul by hand is not necessary.
Cruise: SWFSC1630
SWFSC1630
NOAA Ship David Starr Jordan
Community Standard Description
International Council for the Exploration of the Sea
NOAA Ship David Starr Jordan
vessel
SWFSC1630
Dr Lisa T. Ballance
National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center
http://dmoserv3.whoi.edu/data_docs/CAMEO_Trophic_Position/06FinalCruiseReptDSJ.pdf
Report describing SWFSC1630
Cruise: SWFSC1631
SWFSC1631
NOAA Ship McArthur II
NOAA Ship McArthur II
vessel
SWFSC1631
Dr Lisa T. Ballance
National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center
http://dmoserv3.whoi.edu/data_docs/CAMEO_Trophic_Position/0FinalCruiseReptMAC.pdf
Report describing SWFSC1631
NOAA Ship David Starr Jordan
Community Standard Description
International Council for the Exploration of the Sea
NOAA Ship David Starr Jordan
vessel
NOAA Ship McArthur II
NOAA Ship McArthur II
vessel