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        <gco:CharacterString>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: &amp;lt;p&amp;gt;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.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Related publication:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
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:&amp;lt;a href=&amp;quot;http://dx.doi.org/10.1002/lno.10443&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;10.1002/lno.10443&amp;lt;/a&amp;gt;&amp;lt;/p&amp;gt; Methods and Sampling: &amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Sampling Methodology:&amp;lt;/strong&amp;gt;&amp;amp;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) &amp;lt;em&amp;gt;Stenella&amp;lt;/em&amp;gt; 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 &amp;lt;em&amp;gt;a&amp;lt;/em&amp;gt; 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, &amp;lt;em&amp;gt;Euphausia distinguenda&amp;lt;/em&amp;gt; (Ed) and &amp;lt;em&amp;gt;E. tenera &amp;lt;/em&amp;gt;(Et) were sorted from the thawed zooplankton samples in the laboratory. Specimens of mesopelagic myctophid fishes &amp;lt;em&amp;gt;Myctophum nitidulum&amp;lt;/em&amp;gt; (Mn) and &amp;lt;em&amp;gt;Symbolophorus reversus&amp;lt;/em&amp;gt; (Sr) were collected by dipnet at night. Specimens of the squids &amp;lt;em&amp;gt;Dosidicus gigas&amp;lt;/em&amp;gt; (Dg) and &amp;lt;em&amp;gt;Sthenoteuthis oualaniensis&amp;lt;/em&amp;gt; (So) also were collected at night, using handlines and jigs. (See Olson et al. 2010, Philbrick et al. 2001 for detailed methods).&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Three species of tuna, yellowfin (Ta.; &amp;lt;em&amp;gt;Thunnus albacares&amp;lt;/em&amp;gt;), skipjack (Kp.; &amp;lt;em&amp;gt;Katsuwonus pelamis&amp;lt;/em&amp;gt;), and bigeye (To.; &amp;lt;em&amp;gt;Thunnus obesus&amp;lt;/em&amp;gt;) 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.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Analytical Methodology:&amp;lt;/strong&amp;gt;&amp;amp;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&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N values and the range of sample locations along the transect. The d&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;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&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N values were normalized to known d&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N values of two coinjected internal reference compounds (norleucine and aminoadipic acid with d&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N reference values of 19.06 ‰ and -5.8 ‰, respectively).&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/616068.rdf" xlink:title="OCE-1040810" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1040810 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1040810</gmx:Anchor>
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                            <gco:CharacterString>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.
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                            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/project/491309.rdf" xlink:title="Project Name" xlink:actuate="onRequest">CAMEO 2009 - A novel tool for validating trophic position estimates in ecosystem-based fisheries models</gmx:Anchor>
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                            <gco:CharacterString>&lt;p&gt;(&lt;em&gt;From NSF Award Abstract&lt;/em&gt;)&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</gco:CharacterString>
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	Name: species
	Units: unitless
	Description: &lt;p&gt;Name of the species&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679593.rdf
	Name: sample_number
	Units: unitless
	Description: &lt;p&gt;Sample identification number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679594.rdf
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	Description: &lt;p&gt;Date on which AA-CSIA analysis of corresponding sample was begun; formatted as yyyy-mm-dd&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679595.rdf
	Name: Alanine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Alanine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679596.rdf
	Name: Alanine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Alanine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679597.rdf
	Name: Glycine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Glycine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679598.rdf
	Name: Glycine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Glycine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679599.rdf
	Name: Threonine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Threonine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679600.rdf
	Name: Threonine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Threonine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679601.rdf
	Name: Serine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Serine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679602.rdf
	Name: Serine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Serine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679603.rdf
	Name: Valine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Valine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679604.rdf
	Name: Valine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Valine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679605.rdf
	Name: Leucine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Leucine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679606.rdf
	Name: Leucine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Leucine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679607.rdf
	Name: Isoleucine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Isoleucine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679608.rdf
	Name: Isoleucine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Isoleucine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679609.rdf
	Name: Proline_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Proline&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679610.rdf
	Name: Proline_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Proline&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679611.rdf
	Name: AsparticAcid_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Aspartic Acid&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679612.rdf
	Name: AsparticAcid_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Aspartic Acid&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679613.rdf
	Name: Methionine_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Methionine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679614.rdf
	Name: Methionine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Methionine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679615.rdf
	Name: GlutamicAcid_Avg
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Glutamic Acid&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679616.rdf
	Name: GlutamicAcid_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Glutamic Acid&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679617.rdf
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	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Phenylalanine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679618.rdf
	Name: Phenylalanine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Phenylalanine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679619.rdf
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	Units: parts per thousand (per mil, ‰)
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http://lod.bco-dmo.org/id/dataset-parameter/679620.rdf
	Name: Tyrosine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Tyrosine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679621.rdf
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	Units: parts per thousand (per mil, ‰)
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http://lod.bco-dmo.org/id/dataset-parameter/679622.rdf
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	Description: &lt;p&gt;standard deviation of d15N values of Lycine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679623.rdf
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http://lod.bco-dmo.org/id/dataset-parameter/679624.rdf
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	Description: &lt;p&gt;standard deviation of d15N values of Arginine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679625.rdf
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	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;mean d15N value of Histidine&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/679626.rdf
	Name: Histidine_SD
	Units: parts per thousand (per mil, ‰)
	Description: &lt;p&gt;standard deviation of d15N values of Histidine&lt;/p&gt; 
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                <gco:CharacterString>&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Sampling Methodology:&amp;lt;/strong&amp;gt;&amp;amp;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) &amp;lt;em&amp;gt;Stenella&amp;lt;/em&amp;gt; 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 &amp;lt;em&amp;gt;a&amp;lt;/em&amp;gt; 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, &amp;lt;em&amp;gt;Euphausia distinguenda&amp;lt;/em&amp;gt; (Ed) and &amp;lt;em&amp;gt;E. tenera &amp;lt;/em&amp;gt;(Et) were sorted from the thawed zooplankton samples in the laboratory. Specimens of mesopelagic myctophid fishes &amp;lt;em&amp;gt;Myctophum nitidulum&amp;lt;/em&amp;gt; (Mn) and &amp;lt;em&amp;gt;Symbolophorus reversus&amp;lt;/em&amp;gt; (Sr) were collected by dipnet at night. Specimens of the squids &amp;lt;em&amp;gt;Dosidicus gigas&amp;lt;/em&amp;gt; (Dg) and &amp;lt;em&amp;gt;Sthenoteuthis oualaniensis&amp;lt;/em&amp;gt; (So) also were collected at night, using handlines and jigs. (See Olson et al. 2010, Philbrick et al. 2001 for detailed methods).&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Three species of tuna, yellowfin (Ta.; &amp;lt;em&amp;gt;Thunnus albacares&amp;lt;/em&amp;gt;), skipjack (Kp.; &amp;lt;em&amp;gt;Katsuwonus pelamis&amp;lt;/em&amp;gt;), and bigeye (To.; &amp;lt;em&amp;gt;Thunnus obesus&amp;lt;/em&amp;gt;) 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.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Analytical Methodology:&amp;lt;/strong&amp;gt;&amp;amp;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&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N values and the range of sample locations along the transect. The d&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;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&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N values were normalized to known d&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N values of two coinjected internal reference compounds (norleucine and aminoadipic acid with d&amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N reference values of 19.06 ‰ and -5.8 ‰, respectively).&amp;lt;/p&amp;gt;</gco:CharacterString>
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                <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/instrument/410.rdf" xlink:title="Bongo Net" xlink:actuate="onRequest">cylindrical-conical bongo net</gmx:Anchor>
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            <gco:CharacterString>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.</gco:CharacterString>
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          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/platform/675237.rdf"
           xlink:title="31JD" xlink:actuate="onRequest">NOAA Ship David Starr Jordan</gmx:Anchor>
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                          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/person/675239.rdf" xlink:actuate="onRequest">Dr Lisa T. Ballance</gmx:Anchor>
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