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        <gco:CharacterString>Supplemental Information - Data Parameters and Units - Descriptive Information about the Data Parameters and Units.

___________________________________________________________
Vial Number            Specimens
___________________________________________________________

1	Neocalanus spp. (C6-C3 unidentified &amp; C2) 
	
2	N. cristatus: C6 - C2
	
3a	Calanus marshallae/glacialis: C6 - C2
3b	Calanus hyperboreus:  C6 – C2
	
4	C. pacificus: C6 - C2
	
5	All unknown calanid  C3 - C1 that fit the specified size ranges 
	
6	Eucalanus bungii: C6 - C1
	
7	Pseudocalanus spp.:  all stages
	
8a	Metridia pacifica/lucens: C6 - C4 
8b	Metridia ochotensis:  C6 - C4
8c	Metridia spp.:  C3 - C1
	
9	Acartia and Oithona  spp. 
	
10	All other Copepoda
	
11	Euphausiids
	
12	Decapoda (Crustacea)
	
13	Amphipoda:  Hyperiidae and Gammaridae
	
14	All gelatinous zooplankton (except Chaeotognatha)
	
15a	Chaeotgnatha
15b	Appendicularia
15c	Gastropoda: (Gymnosomata, Thecosomata, Gastropoda)
15d	All other zooplankton


Stage Codes	Stage	Size Codes	Size
0	adult	1	&gt; 5 mm
3	medusa	2	&lt; 5 mm
11	egg	3	&gt; 2 and &lt; 5 mm
13	nauplius	4	&lt; 2 mm
19	C-1 to C-4	5	&gt; 5 and &lt; 20 mm
20	C - 1 (copepodite I)	6	&gt; 20 mm
21	C -2 (copepodite II)	7	Damaged
22	C - 3 (copepodite III)	8	&lt; 150 µm
23	C - 4 (copepodite IV)	9	= 150 µm
24	C - 5 (copepodite V)	999	Not determined
25	cypris		
29	furcilia		 
50	(not used)	Sex Codes	Sex
51	larva	1	male
60	calyptopis (stage not determined)	2	Female
61	calyptopis 1	3	Female w. spermatophores
62	calyptopis 2	7	Not applicable
63	calyptopis 3	999	Not determined
64	A &amp; J (adult and juvenile)		 
70	zoea	Gear Codes	Gear
75	megalopae	20BON	20 cm Bongo
80	juvenile	60BON	60 cm Bongo
240	C6 + C5	LGCB	Large Clarke-Bumpus
999	stage not determined	METH	Methot 
 	 	MOC1	1 m2  MOCNESS
 	 	SLED	Epi-benthic Sled
 	 	TUCK1	1m2  Tucker

Figure 3.  Zooplankton Maximum Dimensions


Supplemental Information – Methods - Descriptive Information about the methods used.

Sampling:

Zooplankton are collected using bongo samplers (Posgay and Marak, 1980) towed in a
double-oblique manner from the surface to near bottom, generally within 10 m. The main
sampler is 60 cm in diameter with 333/~m mesh nets. A second bongo frame 20 cm in
diameter with 150 ~m mesh nets is used to collect smaller zooplankton beginning in
1986. The small bongo is attached to the towing wire 1 m above the large frame. A Seacat or Fastcat is used to collect depth, temperature, and salinity data coincident with the biological samples.  Calibrated flow meters were used to estimate volumes
filtered by each net. Samples were condensed using appropriately sized sieves and were
preserved in 5% buffered formalin.


Survey operational procedures

The SeaCat is attached to the wire approximately one meter above the 60m cm bongo frame to provide real-time depth data. The frame is fitted with 505 ¿m mesh nets and 4" PVC codends (with 505 ¿m mesh drain holes). The initial flowmeter readings for each side of the bongo are recorded on the Cruise Operations Database (COD) form along with the station identification information (Figure 2). The nets and codends are inspected for damage before and after each tow. The gear is launched via the starboard winch at 40 meters per minute. During periods of bad weather and heavy surge, the winch operator is instructed to let the wire out at a much slower rate (20 - 30 m/min) to prevent backlash on the winch. The direction of the tow should be such that the wind and swells are taken at a 45 degree angle across the starboard bow to prevent the gear and wire from being run over by the ship and risking entanglement with the centerboard or screw. The depth of the nets are monitored from a dedicated computer inside the ship and commands are given to standby and stop the winch at depth and begin retrieval when the gear has reached 100 meters or 10 meters off bottom. In the event that the SeaCat suddenly fails during a tow and there will not be time to repeat the tow, the wire out vs wire angle chart (see Brown et al. 2009) may be used to continue the tow (Table 1).
The gear is brought back to the surface at 20 m/min. The ship speed is maintained between 1.5 and 2.0 knots and is continually adjusted to maintain a 45 degree wire angle. These angles are radioed to the Bridge by either the Survey Tech or a scientist who uses a hand held inclinometer to determine wire angle. The wire angles must be kept between 35 and 55 degrees to insure proper fishing of the gear. Low wire angles result in the frame moving too slow (larvae may avoid the nets). High wire angles result in the net moving too fast (larvae may be extruded through the net or avoid the net due to an increase in the frontal pressure wave). If the wire angle is outside these tolerances (35 &lt; x &lt; 55 º) for more than 30 seconds, then the catch should be discarded and the tow repeated. 
When the nets surface, they are brought aboard and quickly washed. The nets and codends are inspected for damage and possible sample loss. The final flowmeter readings are recorded for each side of the bongo. The total flowmeter revolutions (final revolutions minus initial revolutions) for each flowmeter are calculated before the sample is preserved and should be within 100 - 200 counts of each other. Since net 1 is the only net that is used quantitatively and if there is a time restriction that does not allow the tow to be repeated, net 2 may be used in its place if there is a suspected problem with the flowmeter (jellyfish tentacles wrapped around the flowmeter, slow gears, damaged codend, etc.). Any changes to regular procedures, such as substituting net 2 for net 1, should be noted on the COD form. Problem flowmeter(s) should be replaced before the next station. Under normal operating conditions, the codend from net 2 is immediately taken into the laboratory and sorted for larval walleye pollock or other species of interest over an ice bed to reduce possible shrinkage of the fish larvae (Theilacker and Porter, 1995). Larval walleye pollock are counted and put into a vial of 95% ethanol for otolith and/or genetics studies. The codend from net #1 is the quantitative sample (recorded as QTowF on the COD form) that will be used for the larval abundance estimates. The codend contents of net #1 are carefully poured into a 505 mm mesh sieve to reduce the fluid enough to pour the sample into a 32 oz jar and preserve it with 50 ml of 37% formaldehyde and 20 ml of sodium borate used to buffer the solution (see Dougherty et al. 2009 for complete details on sample handling). In the event that the above specifications have not been met, or it is suspected that the gear may have hit bottom or some of the sample was lost during the tow due to net or codend damage, the tow should be repeated. The scientists are responsible for recording tow time, maximum depths, and all other data required for the COD form. All station data is entered into a relational database (COD) soon after the tow. During the cruise, scientists will verify that the station data have been correctly entered by comparing the paper form with an edit form printed by the COD application. A digital record of the tow trajectory and maximum depth is archived for future reference (SeaCat files).


Sample sorting and analysis

60 cm BONGO, MOCNESS, SLED AND TUCKER (333 or 505 µm mesh)
	Step 1  Determine location of sample and find the Taxa List for that region
		(eastern Bering Sea/Gulf of Alaska or Chukchi/Beaufort
		Seas).
	Step 2  Obtain the FORM F and make a note on the form of material removed
		that would interfere  with splitting.
	Step 3  Split the coarse mesh sample (333 or 505 µm) to obtain = 200
		large-sized individuals from column #3 of the Taxa List.
	Step 3  Count all the large-sized  organisms and write on FORM F.
	Step 4.  Repeat Step 3, if the split did not yield = 200 organisms.

20 cm BONGO, CalVET, or Large Clarke-Bumpus (153 µm). 
	Step 1  Determine location of sample and find Taxa List for that region
		(Table 1, eastern Bering Sea/Gulf of Alaska or Table 2, Chukchi/Beaufort
		Seas).
	Step 2  Obtain FORM G and make a note on the form of material removed
that would interfere  with splitting.
	Step 3  Split the fine mesh sample (153 µm) to obtain = 200 
		Medium-sized individuals from column #4 of the Taxa List.
	Step 4  Count all the medium-sized organisms and write on FORM G.
	Step 5  Repeat Step 4, if the split did not yield = 200 organisms.
	Step 6  Obtain FORM H and make a note on the form of material removed
that would interfere  with splitting.
	Step 7  Choose a split that will yield = 250 small-sized organisms from
		column #5 of the Taxa List
	Step 8  Count all the small-sized organisms and write on FORM H.
	Step 9  Repeat step 8, if the split did not yield = 250 organisms.
MOCNESS (153 µm mesh)
	Step 1  Determine location of sample and find the Taxa List for that region
		(Table 1, eastern Bering Sea/Gulf of Alaska or Table 2, Chukchi/Beaufort
		Seas).
	Step 2  Obtain the FORM F and make a note on the form of material removed
		that would interfere  with splitting.
	Step 3  Split the coarse mesh sample (333 or 505 µm) to obtain = 200
		large-sized individuals from column #3 of the Taxa List.
	Step 3  Count all the large-sized  organisms and write on FORM F.
	Step 4.  Repeat Step 3, if the split did not yield = 200 organisms.

	Step 5  Obtain FORM G and make a note on the form of material removed
that would interfere  with splitting.
	Step 6  Split the fine mesh sample (153 µm) to obtain = 200 
		Medium-sized individuals from column #4 of the Taxa List.
	Step 7  Count all the medium-sized organisms and write on FORM G.
	Step 8  Repeat Step 4, if the split did not yield = 200 organisms.

	Step 9  Obtain FORM H and make a note on the form of material removed
that would interfere  with splitting.
	Step 10  Choose a split that will yield = 250 small-sized organisms from
		column #5 of the Taxa List
	Step 11  Count all the small-sized organisms and write on FORM H.
	Step 12  Repeat step 8, if the split did not yield = 250 organisms.




Supplemental Information – Instruments  -  Descriptive Information about the instruments and equipment used.

Pressure sensors:
A SeaBird SeaCat (SBE-19) is attached to the wire approximately 1 meter above the 60 cm bongo frame. Real time display of conductivity, temperature, and depth is monitored in remotely on a designated computer display.

Flowmeter calibrations:
General Oceanics flowmeters are mounted in both mouths of the bongo frame. 
All flowmeters are annually calibrated (see procedures used by Smith and Richards, 1977).


Supplemental Information - Sampling Scales and Rates - Descriptive Information about the sampling spatial and temporal scales and rates.

Supplemental Information - Error Analysis -  Descriptive Information about the error analysis.


Handwritten zooplankton forms are compared to data entered and edited as needed. QC checks are performed for common errors (mainly non entries and subsample &gt; 1). Haul data are QC'd to flag questionable wire angles, flowmeter revs, net performance and time, date and location outliers are flagged.

Supplemental Information - Provenance and Historical References -  
Descriptive Information about the provenance, historical data, key information packaged elsewhere.

Incze and Ainaire 1994.  Distribution and abundance of sopepod nauplii and other small zooplankton during spring in Shelikof Strait Alaska.  Fish Bull 92: 67-78.

INCZE, L. S., D. W. SIEFERT, and J. M. NAPP. 1997. Mesozooplankton of Shelikof Strait, Alaska: Abundance and community composition. Cont. Shelf Res. 17(3):287-305</gco:CharacterString>
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            <gco:CharacterString>NA</gco:CharacterString>
          </gmd:evaluationMethodDescription>
          <gmd:result gco:nilReason="missing" />
        </gmd:DQ_QuantitativeAttributeAccuracy>
      </gmd:report>
      <gmd:report>
        <gmd:DQ_QuantitativeAttributeAccuracy>
          <gmd:nameOfMeasure>
            <gco:CharacterString>Detection Limit</gco:CharacterString>
          </gmd:nameOfMeasure>
          <gmd:evaluationMethodDescription>
            <gco:CharacterString>NA</gco:CharacterString>
          </gmd:evaluationMethodDescription>
          <gmd:result gco:nilReason="missing" />
        </gmd:DQ_QuantitativeAttributeAccuracy>
      </gmd:report>
      <gmd:report>
        <gmd:DQ_CompletenessCommission>
          <gmd:nameOfMeasure>
            <gco:CharacterString>Completeness Report</gco:CharacterString>
          </gmd:nameOfMeasure>
          <gmd:evaluationMethodDescription>
            <gco:CharacterString>See methods.</gco:CharacterString>
          </gmd:evaluationMethodDescription>
          <gmd:result gco:nilReason="missing" />
        </gmd:DQ_CompletenessCommission>
      </gmd:report>
      <gmd:report>
        <gmd:DQ_ConceptualConsistency>
          <gmd:nameOfMeasure>
            <gco:CharacterString>Conceptual Consistency</gco:CharacterString>
          </gmd:nameOfMeasure>
          <gmd:evaluationMethodDescription>
            <gco:CharacterString>NA</gco:CharacterString>
          </gmd:evaluationMethodDescription>
          <gmd:result gco:nilReason="missing" />
        </gmd:DQ_ConceptualConsistency>
      </gmd:report>
      <gmd:lineage>
        <gmd:LI_Lineage>
          <gmd:statement>
            <gco:CharacterString>Results are returned in an SQLite database.  Results are visually verified and the final corrected data are loaded into an Oracle database.</gco:CharacterString>
          </gmd:statement>
        </gmd:LI_Lineage>
      </gmd:lineage>
    </gmd:DQ_DataQuality>
  </gmd:dataQualityInfo>
  <gmd:metadataConstraints>
    <gmd:MD_LegalConstraints>
      <gmd:accessConstraints>
        <gmd:MD_RestrictionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#gmd:MD_RestrictionCode" codeListValue="otherRestrictions">otherRestrictions</gmd:MD_RestrictionCode>
      </gmd:accessConstraints>
      <gmd:useConstraints>
        <gmd:MD_RestrictionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#gmd:MD_RestrictionCode" codeListValue="otherRestrictions">otherRestrictions</gmd:MD_RestrictionCode>
      </gmd:useConstraints>
      <gmd:otherConstraints>
        <gco:CharacterString>Access Constraints: None | Use Constraints: None</gco:CharacterString>
      </gmd:otherConstraints>
    </gmd:MD_LegalConstraints>
  </gmd:metadataConstraints>
</gmi:MI_Metadata>