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 Methodology: &amp;lt;a
 href=&amp;quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/multi-ship_zoop_pelletflux.html&amp;quot;&amp;gt;Methodology&amp;lt;/a&amp;gt;
 
 Change history: YYMMDD
    080804: contributed by Debbie Steinberg
    081105: date, lon, lat and ev_code from cruise logs merged with original data
            one single multi-ship dataset generated for both KM0414 and RR_K2 data
    081106: added to OCB database; Steve Gegg (sgegg@whoi.edu), BCO DMO

 DMO Note: Used common event number from these data and from logs to determine sample
           position, date and event code for zooplankton data
           &amp;lt;a href=&amp;quot;http://ocb.whoi.edu/jg/serv/OCB/VERTIGO/KM0414/log.html0&amp;quot;&amp;gt;KM0414 event log&amp;lt;/a&amp;gt;
           &amp;lt;a href=&amp;quot;http://ocb.whoi.edu/jg/serv/OCB/VERTIGO/RR_K2/log.html0&amp;quot;&amp;gt;RR_K2 event log&amp;lt;/a&amp;gt;
&amp;lt;/pre&amp;gt;</gco:CharacterString>
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                            <gco:CharacterString>&lt;p&gt;&lt;em&gt;NSF Award Abstract:&lt;/em&gt;&lt;br /&gt;
In this study, researchers at the Woods Hole Oceanographic Institution, Virginia Institute of Marine Science, University of California - Santa Cruz, University of California - Santa Barbara, University of Tasmania, and NIWA-Australia will work collaboratively to answer a difficult question in marine biogeochemistry: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? Knowing the efficiency of particle transport is important for an accurate assessment of the ocean carbon sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric carbon dioxide.&lt;/p&gt;
&lt;p&gt;The research team intends to test two basic hypotheses about remineralization control, namely: (1) particle source characteristics are the dominant control on the efficiency of particle transport; and/or that (2) mid-water processing, either by zooplankton or bacteria, controls transport efficiency. To do so, they will conduct process studies at sea focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Two sites will be studied extensively on three-week process study cruises: the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE). There are strong contrasts between these sites in rates of production, export, particle composition and expected remineralization length scales.&lt;/p&gt;
&lt;p&gt;Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute, but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements and to place the shipboard observations in the context of spatial and temporal variations in these processes&lt;/p&gt;
&lt;p&gt;Besides the obvious contributions to the study of the oceanic and planetary carbon cycles, there are broader outcomes and impacts forthcoming from this project. Graduate and undergraduate students will be included in all aspects of the research, and the involvement of non-US PIs will encourage exchange of students and post-docs between labs in different countries. In addition, the component groups will continue to maintain science web sites designed for both public and scientific exchange where the broader and specific goals and outcomes of this work can be communicated.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Original PI-provided project description:&lt;/em&gt;&lt;br /&gt;
The main goal of VERTIGO is the investigation of the mechanisms that control the efficiency of particle transport through the mesopelagic portion of the water column.&lt;/p&gt;
&lt;p&gt;Question: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? VERTIGO researchers have set out to test two basic hypotheses regarding remineralization control, namely:&lt;br /&gt;
1. particle source characteristics are the dominant control on the efficiency of particle transport; and/or that&lt;br /&gt;
2. mid-water processing, either by zooplankton or bacteria, controls transport efficiency.&lt;/p&gt;
&lt;p&gt;To test their hypotheses, they will conduct process studies in the field focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Three week process study cruises have been planned at two sites - the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE) - where there are strong contrasts in rates of production, export, particle composition and expected remineralization length scales.&lt;/p&gt;
&lt;p&gt;Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements, and to place the shipboard observations in the context of spatial and temporal variations in these processes. For rapid progress in this area, we have organized this effort as a group proposal taking advantage of expertise in the US and international community.&lt;/p&gt;
&lt;p&gt;The efficiency of particle transport is important for an accurate assessment of the ocean C sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric CO2. We maintain that to understand present day ocean C sequestration and to evaluate potential strategies for enhancing sequestration, we need to assess possible changes in the efficiency of particle transport due to climate variability or via purposeful manipulations of C uptake, such as via iron fertilization.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;VERTIGO Acknowledgments: (&lt;/em&gt;from K.O. Buesseler, et al / Deep-Sea Research II 55 (2008) 1522-1539) We thank the officers, crew and shore-based support teams for the R/V Kilo Moana (2004) and R/V Roger Revelle (2005). Funding for VERTIGO was provided primarily by research grants from the US National Science Foundation Programs in Chemical and Biological Oceanography (KOB, CHL, MWS, DKS, DAS). Additional US and non-US grants included: US Department of Energy, Office of Science, Biological and Environmental Research Program (JKBB); the Gordon and Betty Moore Foundation (DMK); the Australian Cooperative Research Centre program and Australian Antarctic Division (TWT); Chinese NSFC and MOST programs (NZJ); Research Foundation Flanders and Vrije Universiteit Brussel (FD, ME); JAMSTEC (MCH); New Zealand Public Good Science Foundation (PWB); and internal WHOI sources and a contribution from the John Aure and Cathryn Ann Hansen Buesseler Foundation (KOB). A number of individuals at sea and on shore, helped make the VERTIGO project a success, including: J. Andrews, C. Bertrand, R. Bidigare III, S. Bray, K. Casciotti, M. Charette, R. Condon, J. Cope, E. Fields, M. Gall, M. Gonneea, P. Henderson, T. Kobari, D. Kunz, S. Saitoh, S. Manganini, C. Moy, S. Okamoto, S. Pike, L. Robertson, D. Ruddick and Y. Zhang. Suggestions by three anonymous reviewers and help by the editor, R. Lampitt, are also greatly appreciated.&lt;/p&gt;</gco:CharacterString>
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	Name: Cruise_ID
	Units: text
	Description: &lt;p&gt;VERTIGO cruise name&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15924.rdf
	Name: event
	Units: dimensionless
	Description: &lt;p&gt;unique sampling event&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15925.rdf
	Name: date
	Units: YYYYMMDD
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http://lod.bco-dmo.org/id/dataset-parameter/15926.rdf
	Name: lon
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http://lod.bco-dmo.org/id/dataset-parameter/15927.rdf
	Name: lat
	Units: decimal degrees
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http://lod.bco-dmo.org/id/dataset-parameter/15928.rdf
	Name: ev_code
	Units: alphanumeric
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http://lod.bco-dmo.org/id/dataset-parameter/15929.rdf
	Name: depth
	Units: meters
	Description: &lt;p&gt;depth of sediment trap&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15930.rdf
	Name: NBST_num
	Units: dimensionless
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http://lod.bco-dmo.org/id/dataset-parameter/15931.rdf
	Name: dep_num
	Units: dimensionless
	Description: &lt;p&gt;deployment number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15932.rdf
	Name: V_num
	Units: alphanumeric
	Description: &lt;p&gt;sample bottle ID number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15933.rdf
	Name: dep_dur
	Units: decimal days
	Description: &lt;p&gt;deployment duration&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15934.rdf
	Name: flux_C_lb
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; light brown, light brown mottled, and beige pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15935.rdf
	Name: flux_C_db
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; brown, mixed browns, and dark brown pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15936.rdf
	Name: flux_C_wtm
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; white, transparent, and multiple colored pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15937.rdf
	Name: flux_C_rd
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; red and orange pellets and pellets with red in them&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15938.rdf
	Name: flux_C_a
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; amorphic and odd-shaped pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15939.rdf
	Name: flux_C_c
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; cylindrical and cylindrical-bent pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15940.rdf
	Name: flux_C_oe
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; oval, tear-drop, bean, and elliptical shaped pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15941.rdf
	Name: flux_C_s
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; spherical pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15942.rdf
	Name: flux_C_larv
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; larvacean pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15943.rdf
	Name: flux_C_total
	Units: microgram carbon/meter^2/day
	Description: &lt;p&gt;flux in carbon; total&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15944.rdf
	Name: flux_num_lb
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; light brown, light brown mottled, and beige pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15945.rdf
	Name: flux_num_db
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; brown, mixed browns, and dark brown pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15946.rdf
	Name: flux_num_wtm
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; white, transparent, and multiple colored pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15947.rdf
	Name: flux_num_rd
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; red and orange pellets and pellets with red in them&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15948.rdf
	Name: flux_num_a
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; amorphous and odd-shaped pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15949.rdf
	Name: flux_num_c
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; cylindrical and cylindrical-bent pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15950.rdf
	Name: flux_num_oe
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; oval, tear-drop, bean, and elliptical shaped pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15951.rdf
	Name: flux_num_s
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; spherical pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15952.rdf
	Name: flux_num_larv
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; larvacean fecal pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15953.rdf
	Name: flux_num_total
	Units: number/meter^2/day
	Description: &lt;p&gt;flux in number; total&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15954.rdf
	Name: pct_broken
	Units: percent
	Description: &lt;p&gt;percentage of pellets that were damaged&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15955.rdf
	Name: pct_pellet_flux
	Units: percent
	Description: &lt;p&gt;percentage of total trap flux that consisted of recognizable fecal pellets&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15956.rdf
	Name: num_pellets
	Units: individual pellets
	Description: &lt;p&gt;number of pellets counted&lt;/p&gt; 
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 Methodology: &amp;lt;a
 href=&amp;quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/multi-ship_zoop_pelletflux.html&amp;quot;&amp;gt;Methodology&amp;lt;/a&amp;gt;
 
 Change history: YYMMDD
    080804: contributed by Debbie Steinberg
    081105: date, lon, lat and ev_code from cruise logs merged with original data
            one single multi-ship dataset generated for both KM0414 and RR_K2 data
    081106: added to OCB database; Steve Gegg (sgegg@whoi.edu), BCO DMO

 DMO Note: Used common event number from these data and from logs to determine sample
           position, date and event code for zooplankton data
           &amp;lt;a href=&amp;quot;http://ocb.whoi.edu/jg/serv/OCB/VERTIGO/KM0414/log.html0&amp;quot;&amp;gt;KM0414 event log&amp;lt;/a&amp;gt;
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&amp;lt;/pre&amp;gt;

from Cruise: KM0414 &lt;pre&gt;
 Methodology: &lt;a
 href=&quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/multi-ship_zoop_pelletflux.html&quot;&gt;Methodology&lt;/a&gt;
 
 Change history: YYMMDD
    080804: contributed by Debbie Steinberg
    081105: date, lon, lat and ev_code from cruise logs merged with original data
            one single multi-ship dataset generated for both KM0414 and RR_K2 data
    081106: added to OCB database; Steve Gegg (sgegg@whoi.edu), BCO DMO

 DMO Note: Used common event number from these data and from logs to determine sample
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           &lt;a href=&quot;http://ocb.whoi.edu/jg/serv/OCB/VERTIGO/KM0414/log.html0&quot;&gt;KM0414 event log&lt;/a&gt;
&lt;/pre&gt;


from Cruise: ZHNG09RR &lt;pre&gt;
 Methodology: &lt;a
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 Change history: YYMMDD
    080804: contributed by Debbie Steinberg
    081105: date, lon, lat and ev_code from cruise logs merged with original data
            one single multi-ship dataset generated for both KM0414 and RR_K2 data
    081106: added to OCB database; Steve Gegg (sgegg@whoi.edu), BCO DMO

 DMO Note: Used common event number from these data and from logs to determine sample
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           &lt;a href=&quot;http://ocb.whoi.edu/jg/serv/OCB/VERTIGO/RR_K2/log.html0&quot;&gt;RR_K2 event log&lt;/a&gt;
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