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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: cast
	Units: dimensionless
	Description: &lt;p&gt;CTD cast number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15568.rdf
	Name: type
	Units: character
	Description: &lt;p&gt;cast type; B=Niskin bottle&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15569.rdf
	Name: event
	Units: YYyday_hhmm
	Description: &lt;p&gt;unique sampling event number composite of date and time (GMT)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15570.rdf
	Name: lon
	Units: decimal degrees
	Description: &lt;p&gt;longitude, negative denotes West&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15571.rdf
	Name: lat
	Units: decimal degrees
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http://lod.bco-dmo.org/id/dataset-parameter/15572.rdf
	Name: date
	Units: YYYYMMDD
	Description: &lt;p&gt;date sampling began (GMT)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15573.rdf
	Name: bot
	Units: dimensionless
	Description: &lt;p&gt;Niskin bottle number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15574.rdf
	Name: time
	Units: hhmm
	Description: &lt;p&gt;time sampling began (GMT)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15575.rdf
	Name: yrday
	Units: ddd.xx
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http://lod.bco-dmo.org/id/dataset-parameter/15576.rdf
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	Units: dimensionless
	Description: &lt;p&gt;bottle quality flag 0 = good; -1 = suspect&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15577.rdf
	Name: press
	Units: decibars
	Description: &lt;p&gt;pressure, from CTD&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15578.rdf
	Name: temp
	Units: degrees Celsius
	Description: &lt;p&gt;temperature, from CTD, ITS-90&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15579.rdf
	Name: salinity
	Units: dimensionless
	Description: &lt;p&gt;salinity, from CTD, PSS-78 (PSU)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15580.rdf
	Name: O2_umol_kg
	Units: micromol/kilogram
	Description: &lt;p&gt;oxygen, dissolved&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15581.rdf
	Name: sigma_0
	Units: kilograms/meter^3
	Description: &lt;p&gt;sigma-theta (potential density)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15582.rdf
	Name: fluor
	Units: micrograms/liter
	Description: &lt;p&gt;fluorescence, uncalibrated&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15583.rdf
	Name: turb
	Units: volts
	Description: &lt;p&gt;turbidity, Seapoint&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15584.rdf
	Name: beam
	Units: volts
	Description: &lt;p&gt;beam attenuation (raw data in volts)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15585.rdf
	Name: NH4
	Units: micromolar
	Description: &lt;p&gt;ammonium&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15586.rdf
	Name: PO4
	Units: micromolar
	Description: &lt;p&gt;phosphate&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15587.rdf
	Name: NO3_NO2
	Units: micromolar
	Description: &lt;p&gt;nitrate plus nitrite&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15588.rdf
	Name: Th234
	Units: dpm/liter
	Description: &lt;p&gt;Thorium 234&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15589.rdf
	Name: Th234_err
	Units: dpm/liter
	Description: &lt;p&gt;Th234 error; measurement uncertainty&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15590.rdf
	Name: chl_da
	Units: nanograms/liter
	Description: &lt;p&gt;chlorophyllide a&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15591.rdf
	Name: chl_c
	Units: nanograms/liter
	Description: &lt;p&gt;chlorophyll c&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15592.rdf
	Name: peridinin
	Units: nanograms/liter
	Description: &lt;p&gt;peridinin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15593.rdf
	Name: fucox_but
	Units: nanograms/liter
	Description: &lt;p&gt;19-prime-butanoyloxyfucoxanthin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15594.rdf
	Name: fucox
	Units: nanograms/liter
	Description: &lt;p&gt;fucoxanthin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15595.rdf
	Name: fucox_hex
	Units: nanograms/liter
	Description: &lt;p&gt;19-prime-hexanoyloxyfucoxanthin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15596.rdf
	Name: prasinox
	Units: nanograms/liter
	Description: &lt;p&gt;prasinox&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15597.rdf
	Name: violax
	Units: nanograms/liter
	Description: &lt;p&gt;violaxanthin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15598.rdf
	Name: diadinox
	Units: nanograms/liter
	Description: &lt;p&gt;diadinoxanthin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15599.rdf
	Name: allox
	Units: nanograms/liter
	Description: &lt;p&gt;alloxanthin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15600.rdf
	Name: lutein
	Units: nanograms/liter
	Description: &lt;p&gt;lutein&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15601.rdf
	Name: zeax
	Units: nanograms/liter
	Description: &lt;p&gt;zeaxanthin&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15602.rdf
	Name: chl_b_mv
	Units: nanograms/liter
	Description: &lt;p&gt;chlorophyll b, monovinyl&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15603.rdf
	Name: carotene_a
	Units: nanograms/liter
	Description: &lt;p&gt;alpha carotene&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15604.rdf
	Name: carotene_b
	Units: nanograms/liter
	Description: &lt;p&gt;beta carotene&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15605.rdf
	Name: chl_a_dv
	Units: nanograms/liter
	Description: &lt;p&gt;chlorophyll a, divinyl&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15606.rdf
	Name: chl_a_mv
	Units: nanograms/liter
	Description: &lt;p&gt;chlorophyll a, monovinyl&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15607.rdf
	Name: chl_a_tot
	Units: nanograms/liter
	Description: &lt;p&gt;sum of chlorophyll a like compounds&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15608.rdf
	Name: comments
	Units: dimensionless
	Description: &lt;p&gt;notes regarding sampling event&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15609.rdf
	Name: T_local
	Units: hhmm
	Description: &lt;p&gt;local time (GMT +11)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15610.rdf
	Name: Pmax
	Units: decibars
	Description: &lt;p&gt;maximum pressure recorded&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15611.rdf
	Name: depth_n
	Units: meters
	Description: &lt;p&gt;depth, nominal target sampling depth&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15612.rdf
	Name: depth
	Units: meters
	Description: &lt;p&gt;depth, calculated from CTD pressure&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15613.rdf
	Name: potemp
	Units: degrees Celsius
	Description: &lt;p&gt;potential temperature, ITS-90 (from primary T0,C0 sensors)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15614.rdf
	Name: sal
	Units: dimensionless
	Description: &lt;p&gt;salinity, from CTD, PSS-78 (PSU) (from primary T0,C0 sensors)&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15615.rdf
	Name: O2_satP
	Units: percent
	Description: &lt;p&gt;oxygen saturation&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15616.rdf
	Name: trans
	Units: voltage
	Description: &lt;p&gt;transmissivity&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15617.rdf
	Name: PIC
	Units: voltage
	Description: &lt;p&gt;Particulate Inorganic Carbon as measured by transmissometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15618.rdf
	Name: SiO2
	Units: micromolar
	Description: &lt;p&gt;silicate&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15619.rdf
	Name: NO2
	Units: micromolar
	Description: &lt;p&gt;nitrite&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15620.rdf
	Name: chl_a_fluor
	Units: milligrams/meter^3
	Description: &lt;p&gt;chlorophyll-a by Fluorometric methods&lt;/p&gt; 
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                  <gco:CharacterString>  version  02 December 2008 
  previous  07 July 2008 
  
  PI: Ken Buesseler 
  
  VERTIGO KM 0414 cruise 
  Niskin bottle basic hydrographic data, pigments and nutrients 
  includes QC flag for suspect bottle samples 
  
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                  <gco:CharacterString>  version  08 December 2008  
   
  PI: Ken Buesseler and Dave Siegel 
   
  VERTIGO 2005 K2 Revelle cruise  
  Niskin bottle hydrographic data, thorium-234, pigments and nutrients  
  and fluorometric chlorophyll-a from Sei-ichi Saitoh  
   
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                <gco:CharacterString>&amp;lt;p&amp;gt;see cruise specific documentation&amp;lt;/p&amp;gt;

from Cruise: KM0414 &lt;pre&gt;
Methodology: please see Buesseler at al. 2001 and Pike et al. 2005
    Buesseler, K. O., C. Benitez-Nelson, Rutgers van der Loeff, M., Andrews, 
    J., Ball, L., Crossin, G., and M. Charette (2001). An intercomparison of
    small- and large-volume techniques for thorium-234 in seawater. &lt;em&gt;Marine     Chemistry&lt;/em&gt;, &lt;strong&gt;74&lt;/strong&gt;, 15-28. (&lt;a href=&quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/buesseler/mar-chem-2001-74-15.pdf&quot;&gt;PDF&lt;/a&gt;) 
    
    Pike, S.M., K.O. Buesseler, J. Andrews and N. Savoye (2005). Quantification
    of 234Th recovery in small volume sea water samples by inductively coupled
    plasma mass spectrometry. &lt;em&gt;Journal of Radioanalytical and Nuclear      Chemistry&lt;/em&gt;, 263(2): 355-360. (&lt;a href=&quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/buesseler/JRNC-2005-263-2.pdf&quot;&gt;PDF&lt;/a&gt;) 
 
 Change history: YYMMDD
   060928: contributed by Ken Buesseler
   061003: added to OCB database; Cyndy Chandler (cchandler@whoi.edu), OCB CDMO
   061122: add metadata from event log; cchandler@whoi.edu
   061206: original data included a column called seafloor; removed
   071129: add pigment data 
   080103: add bot_QC per PI request.
   080707: remove bad NO3_NO2 values per PI request; correct misaligned data
           columns for P&amp;gt;1000
   081202: remove suspect deepwater Thorium data from casts 29 (B1,2,3) and 
           cast 90 (bottles 1,2,3,4,5) 
 
 PI note: a negative bot_QC quality flag indicates that at least the nitrite plus nitrate
   data are suspect, and possibly other data from that bottle as well; 0 indicates good.
   In July 2008 after reviewing data, PI requested removal of suspect DIN values; 
   remaining data values from these suspect bottle samples were not removed.
   cast  bot  bot_QC  press     NO2_NO3  
   17    20   -1      59.324    2.5      
   17    16   -1      124.259   1.6      
   19    4    -1      304.730   4.5      
   19    1    -1      1011.760  32.2   
   27    10   -1      73.481    1.7      
   29    3    -1      3045.735  18.5  
   29    2    -1      3047.211  22.1   
   29    1    -1      3045.820  18.9   
   46    2    -1      177.491   8.4      
   46    1    -1      296.281   32.1  
&lt;/pre&gt;

from Cruise: ZHNG09RR &lt;pre&gt;
Methodology: &lt;a href=&quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/RR_K2_ctd.html#bottle&quot;&gt;basic hydrographic data&lt;/a&gt;; thorium-234, please see published
              references: Buesseler at al. 2001 and Pike et al. 2005

     Buesseler, K. O., C. Benitez-Nelson, Rutgers van der Loeff, M., Andrews, 
     J., Ball, L., Crossin, G., and M. Charette (2001). An intercomparison of
     small- and large-volume techniques for thorium-234 in seawater. &lt;em&gt;Marine      Chemistry&lt;/em&gt;, &lt;strong&gt;74&lt;/strong&gt;, 15-28. (&lt;a href=&quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/buesseler/mar-chem-2001-74-15.pdf&quot;&gt;PDF&lt;/a&gt;) 
     
     Pike, S.M., K.O. Buesseler, J. Andrews and N. Savoye (2005). Quantification
     of 234Th recovery in small volume sea water samples by inductively coupled
     plasma mass spectrometry. &lt;em&gt;Journal of Radioanalytical and Nuclear       Chemistry&lt;/em&gt;, 263(2): 355-360. (&lt;a href=&quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/buesseler/JRNC-2005-263-2.pdf&quot;&gt;PDF&lt;/a&gt;) 

 
 Change history:  YYMMDD
   060123: Added by Cyndy Chandler (cchandler@whoi.edu), OCB CDMO; basic 
           hydrographic data from Niskin bottles contributed by Dave Siegel
   060905: remove O2, T, C and derived params from station 20 per Chief Scientist request; 
           sensor caps left on during deployment
   080707: niskin data updated with nutrient and HPLC pigment data from
           Ken Buesseler
   081202: uncalibrated PAR and derived fucox/chla_total ratio removed
   081208: fluorometric chlorophyll a contributed by Sei-ichi Saitoh
          
 DMO note: Thorium 234 data from Niskin bottle samples are available for 
           VERTIGO participants (restricted access).
           
           event, date, time, latitude and longitude are from the CTD cast 
           NMEA header lines; T_local (local time at study area) was computed 
           by adjusting GMT time by +11
           
           As of January 2006, oxygen, fluorescence, turbidity, transmissivity
           and PAR had not yet been compared with in-situ data and should
           be used by others with caution until finalized.

           PIC sensor: voltage 0 - 5: WET Labs PIC 001 (4th build)
           POC sensor: voltage 0 - 5: WET Labs CST-DR 391 - tranmsissometer
           scattering sensor: voltage 0 - 5: Seapoint scattering sensor

           Fluorometric chlorophyll-a data (acquired using standard Turner method)
           were contributed by Se-ichi Saitoh (Hokkaido Univ., Japan) with target 
           (nominal) depths but no Niskin bottle numbers. DMO staff were able to 
           determine most of the Niskin bottle numbers by checking the chl-a 
           sampling records as entered on the origninal sample log sheets. 
           Exceptions and comments are noted below:
           
           cast bot     depth_n chl_a   comments
           6    12      5       0.29    bottles 12 and 14
           6    3       200     0.01    originally reported as cast 8
           18   21      5       0.44    bottles 21 and 24
           28   12      10      0.50    bottle 12 is a guess for 10 m sample
           31   21      5       0.35    bottles 21 and 24
           36   12      10      0.42    bottle 12 is a guess for 10 m sample
           39   22      5       0.33    bottles 22 and 24
           62   21      5       0.30    bottles 21 and 24
           
           and for many casts, according to original paper sample log sheets:
           deepest chl-a sample noted was at 50 m 
           (e.g. deeper samples reported in data file not recorded on sample log sheet)
           
           casts 23 and 76
           sample log sheet noted that sample also taken from bottle 24 at &amp;lt;5 m 
           (but no Turner flourometric chl-a data reported from &amp;lt;5m)
           
           casts 28 and 36
           no Turner flourometric chl-a samples reported on log sheet  
           but chl-a data were reported for Turner flourometric method
 
 PI note: HPLC data are concentrations in ng/L, based on 2 L filtration volume; 
          The -9 values for prasinoxanthin do not indicate zero concentration, 
          but rather inability to quantify (it was co-eluting with another peak).
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