Using
the
SEAMAP
Ichthyoplankton
Databases
The
following
document
is
intended
to
serve
as
a
basic
guideline
for
working
with
SEAMAP
ichthyoplankton
data.
The
goal
of
which
is
to
familiarize
users
with
the
primary
data
structures
and
variables,
as
well
as
give
users
insight
into
how
the
data
may
be
used
for
analysis.
The
document
will
assume
that
users
of
these
database
files
are
familiar
with
basic
database
manipulations
such
as
merges,
sorts
and
the
creation
and/
or
deletion
or
variables
(
fields).
Concepts
for
working
to
achieve
specific
goals
will
be
outlined
in
broad
concepts.
This
will
allow
users
to
utilize
their
own
preferred
methods
for
database
manipulation
and
analysis.
The
document
is
broken
up
into
three
sections.
Section
I,
is
a
listing
of
database
structures,
variable
definitions
and
listings
of
codes
specific
to
each
variable.
Section
II,
describes
the
relationships
within
and
among
the
databases.
Section
III,
addresses
concepts
on
how
to
utilize
the
databases
to
quantitatively
summarize
data
on
fish
eggs
and
larvae
with
comments
on
issues
regarding
specific
variables
necessary
for
quantification.

SECTION
I
Data
Structures
The
3
primary
databases
necessary
to
summarize
data
on
fish
eggs
and
larvae
are
the
STATCARD,
ICHSTRWK
and
ICHSARWK.
The
STATCARD
contains
information
on
where
and
when
sampling
operations
(
stations)
have
taken
places.
The
ICHSTRWK
contains
information
on
the
plankton
samples
taken
at
each
station.
While
the
ICHSARWK
contains
information
on
the
individual
taxa
collected
in
each
sample.
Each
of
the
database
structures
and
its
variables
are
outlined
below:

STATCARD
Database
File
Structure
Field
Name
=
database
variable
name
Type
=
character,
numeric
or
date
variable
Wid
=
width/
format
Dec
=
number
of
decimal
places
in
field
if
applicable
Range/
Table
=
valid
range
of
values
or
code
table
listing
Req
=
Minimum
required
fields
Units
=
Units
recorded
in
Field
Name
Type
Wid
Dec
Range/
Table
Req
Units
1
CRUISE_
NO
Char
3
*
2
VESSEL
Char
2
VESSELS
*
3
P_
STA_
NO
Char
5
*
4
TIME_
ZN
Char
1
TIMEZONE
*
5
MIL_
TIME
Char
4
0000
­
2359
*
hrs,
min
6
S_
LATD
Num
2
0
<=
x
<=
90
*
degrees
7
S_
LATM
Num
5
2
0
<=
x
<
60
minutes
8
S_
LATH
Char
1
N
or
X
9
S_
LOND
Num
3
0
<=
x
<=
180
*
degrees
10
S_
LONM
Num
5
2
0
<=
x
<
60
minutes
11
S_
LONH
Char
1
W
or
X
12
ST_
DEPTH
Num
6
1
x
>
0
*
fathoms
13
S_
STA_
NO
Char
5
14
MO_
DAY_
YR
Date
8
*
mm/
dd/
yy
15
END_
TIME
Char
4
0000
­
2359
hrs,
min
16
E_
LATD
Num
2
0
<=
x
<=
90
degrees
17
E_
LATM
Num
5
2
0
<=
x
<
60
minutes
18
E_
LATH
Char
1
N
or
X
19
E_
LOND
Num
3
0
<=
x
<=
180
degrees
20
E_
LONM
Num
5
2
0
<=
x
<
60
minutes
21
E_
LONH
Char
1
W
or
X
22
EDEPTH
Num
6
1
x
>
0
fathoms
23
GEARS
Char
14
GEARTYPE
24
SURF_
TEMP
Num
5
2
­
1.1
<=
x
<=
34
deg
(
C)
25
BOT_
TEMP
Num
5
2
­
1.1
<=
x
<=
32
deg
(
C)
26
AIR_
TEMP
Num
4
1
x
>
­
10
deg
(
C)
27
B_
PRSSR
Num
6
1
880
<=
x
<=
1032
millibars
or
x
=
0
28
WIND_
SPD
Num
2
0
<=
x
<=
50
knots
29
WIND_
DIR
Num
3
0
<=
x
<=
360
compass
deg
30
WAVE_
HT
Num
4
1
0
<=
x
<=
10
meters
31
SEA_
COND
Char
1
0
­
9
Beaufort
Scale
32
DATA_
CODE
Char
2
DATACODE
*
33
VESSEL_
SPD
Num
4
1
0
<
x
<=
60
knots
34
STAT_
ZONE
Num
5
1
x
>
0
35
TOW_
NO
Char
1
1
­
9
36
NET_
NO
Char
1
1
­
3
37
COMMENT
Char
111
Explanation
Of
STATCARD
Variables
CRUISE_
NO
3­
character
cruise
code.

VESSEL
2­
character
vessel
code.
Valid
Values
are:

01
OREGON
02
SILVER
BAY
03
GEORGE
M.
BOWERS
04
OREGON
II
05
COMBAT
06
PELICAN
07
FRIGATA
08
KINGFISHER
09
HERNAN
CORTEZ
10
GERONIMO
11
UNDAUNTED
12
ANTILLAS
13
CALAMAR
14
ALCYON
15
GULF
RANGER
16
WESTERN
GULF
17
TOMMY
MUNRO
18
TANYA
&
JOE
19
ONJUKO
20
JEFF
&
TINA
21
DELAWARE
II
22
OSV
ANTELOPE
23
ALABAMA
INSHORE
VESSELS
24
FLORENCE
MAY
25
LOUISIANA
INSHORE
VESSELS
26
SUNCOASTER
27
MISSISSIPPI
INSHORE
VESSE
28
CHAPMAN
29
NISSHING
MARU
#
201
30
R/
V
BELLOWS
31
R.
J.
KEMP
32
MATAGORDA
BAY
33
LAGUNA
MADRE
34
GALVESTON
BAY
35
LUMCON
PELICAN
36
HERNAN
CORTEZ
II
37
OLD
COLONY
38
SEAWOLF
39
ATLANTIC
HARVESTER
40
SABINE
41
PERSISTANCE
42
CAPTAIN
GRUMPY
43
GULF
STREAM
44
KELCY
ANN
45
MR.
JUG
46
CALANUS
47
A.
NEEDLER
48
B.
I.
P.
49
ALBATROSS
IV
50
MOLLY
M.
51
LADY
LISA
52
MISS
CARRIE
53
CSS
HUDSON
54
CORAL
SEA
55
CARETTA
56
R/
V
ABREU
57
R/
V
GUAYANILLA
58
SEAHORSE
59
LINDSAY
60
TEDDY'S
SCOW
61
RELENTLESS
62
RATFIELD
VESSELS
63
GORDON
GUNTER
64
FERREL
65
TRINITY
BAY
66
ALABAMA
38ft
BERTRAM
67
NUECES
BAY
68
MCARTHUR
69
SAN
JACINTO
70
R/
V
SARINNA
71
HARVESTING
SYSTEM
TECH
99
OTHER
VESSELS
P_
STA_
NO
5­
character
code
designating
the
Pascagoula
station
number.
TIME_
ZN
1­
character
time
zone
code.
Valid
values
are:

1
Eastern
Standard
Time
2
Eastern
Daylight
Savings
Time
3
Central
Standard
Time
4
Central
Daylight
Savings
Time
8
Greenwich
Mean
Time
9
Other
­
Explain
in
Comments
Section
5
Atlantic
Standard
Time
6
Atlantic
Daylight
Savings
Time
MIL_
TIME
Starting
time
(
HHMM)
in
24
hour
military
time.

S_
LATD
Degree
of
latitude
for
the
position
occupied
at
the
start
time
of
a
station.

S_
LATM
Decimal
minutes
of
latitude
for
the
position
occupied
at
the
start
time
of
a
station.

S_
LATH
Hemi­
sphere
of
latitude
for
the
position
occupied
at
the
start
time
of
a
station.

S_
LOND
Degree
of
longitude
for
the
position
occupied
at
the
start
time
of
a
station.

S_
LONM
Decimal
minutes
of
longitude
for
the
position
occupied
at
the
start
time
of
a
station.

S_
LONH
Hemi­
sphere
of
longitude
for
the
position
occupied
at
the
start
time
of
a
station.

ST_
DEPTH
Station
depth
in
fathoms
for
the
position
occupied
at
the
start
time
of
a
station.

MO_
DAY_
YR
Date
station
was
taken
in
MM/
DD/
YY
format.
S_
STA_
NO
5­
character
SEAMAP
or
alternate
station
number.

END_
TIME
Ending
time
(
HHMM)
in
24
hour
military
time.

E_
LATD
Degree
of
latitude
for
the
position
occupied
at
the
end
time
of
a
station.

E_
LATM
Decimal
minutes
of
latitude
for
the
position
occupied
at
the
end
time
of
a
station.

E_
LATH
Hemi­
sphere
of
latitude
for
the
position
occupied
at
the
end
time
of
a
station.

E_
LOND
Degree
of
longitude
for
the
position
occupied
at
the
end
time
of
a
station.

E_
LONM
Decimal
minutes
of
longitude
for
the
position
occupied
at
the
end
time
of
a
station.

E_
LONH
Hemi­
sphere
of
longitude
for
the
position
occupied
at
the
end
time
of
a
station.

EDEPTH
Station
depth
in
fathoms
for
the
position
occupied
at
the
end
time
of
a
station.

GEARS
Up
to
seven
2­
character
gear
codes.
Valid
values
are:

A
ASSORTED
C
BIOSONICS
ACOUSTIC
SYSTEM
BG
BATHYTHERMOGRAPH(
CTD,
STD)
BC
BOTTLE
CAST
GR
BOTTOM
GRAB
OR
CORE
SAMPLER
MC
CAMERA,
MOVIE
SC
CAMERA,
STILL
VC
CAMERA,
VIDEO
CS
CONTINUOUS
FLOW
SYSTEM
CM
CURRENT
DOPPLER
DL
DEEP
LINE
DV
DIVING
CD
DREDGE,
CLAM
QD
DREDGE,
QUAHOG
SD
DREDGE,
SCALLOP
TD
DREDGE,
TUMBLER
XB
EXPENDABLE
BATHYTHERMOGRAPH(
XB
FP
FISH
PUMP
GN
GILLNET
BL
LONGLINE,
BOTTOM
KP
LONGLINE,
KALI
POLE
OB
LONGLINE,
OFF­
BOTTOM
LL
LONGLINE,
SURFACE
MQ
MARQUESETTE
MN
MICROPEKTON
ML
MISCELLANEOUS
NS
NETSONDE
LT
NIGHT
LIGHT
OD
ODOMETER
OF
OVERFLIGHT
OX
OXYGEN,
SENSOR,
CTD
OY
OXYGEN,
SENSOR,
YSI
OH
OXYGEN,
TITRATION,
HACHKIT
OW
OXYGEN,
TITRATION,
WINKLER
OR
OYSTER
RAKE
PN
PLANKTON,
GENERAL(
BONGO,
ETC.)
MO
PLANKTON,
MOCNESS
NN
PLANKTON,
SINGLE
NEUSTON
OR
NEK
DN
PLANKTON,
DOUBLE
NEUSTON
OR
NEK
RG
PLANKTON,
RING
NET
TU
PLANKTON,
TUCKER
TRAWL
RF
RECORDING
FATHOMETER
RV
REMOTELY
OPERATED
VEHICLE(
ROV)
RT
ROTENONE
RN
ROUND
NET
SA
SALINITY,
AUTOSAL
SB
SALINITY,
BECKMAN
RS5
SF
SALINITY,
CONTINUOUS
FLOW
SYSTE
SX
SALINITY,
CTD
RE
SALINITY,
REFRACTOMETER
BS
SEINE,
BEACH
LP
SEINE,
LAMPARA
PS
SEINE,
PURSE
TS
SEINE,
PURSE,
TURTLE
SO
SONAR
SJ
SQUID
JIG
DR
SURFACE
DRIFTER
RL
TAG
RELEASE
TA
TEMPERATURE,
CONTINUOUS
FLOW
SY
TC
TEMPERATURE,
CTD
TB
TEMPERATURE,
BECKMAN
RS5
TM
TEMPERATURE,
BUCKET
TF
TEMPERATURE,
FLUKE
TY
TEMPERATURE,
YSI
CT
TRAP,
CRAB
TR
TRAP,
FISH
LR
TRAP,
LOBSTER,
REED
LW
TRAP,
LOBSTER,
WIRE
WT
TRAP,
LOBSTER,
WOOD
TV
TRAP
VIDEO
BT
TRAWL,
BEAM
BB
TRAWL,
BIB
FT
TRAWL,
FISH
EF
TRAWL,
FISH,
EXPERIMENTAL
FD
TRAWL,
FISH
DEFLECTOR
FE
TRAWL,
FISH
EXCLUDER
HO
TRAWL,
HIGH
OPENING
BOTTOM
MT
TRAWL,
MIDWATER
PT
TRAWL,
SCALLOP
SN
TRAWL,
SEPARATOR
SH
TRAWL,
SHUMAN
ST
TRAWL,
SHRIMP
ES
TRAWL,
SHRIMP,
EXPERIMENTAL
SM
TRAWL,
STANDARD
MONGOOSE
*
T
TRAWL,
STAR
TN
TRAWL,
TRYNET
TE
TRAWL,
TURTLE
EXCLUDER
TT
TRAWL,
TWIN
KT
TRAWL,
WING
TG
TROLLING
GEAR
VD
VERTICAL
DRIFTLINE
CC
CAMERA,
CLOSED
CIRCUIT
TELEVISI
01
COMBINATION­­
SS+
CC
02
COMBINATION­­
SS+
PR
03
COMBINATION­­
CC+
PR
04
COMBINATION­­
SS+
CC+
PR
05
COMBINATION­­
FM+
SS
06
COMBINATION­­
FM+
SS+
PR
07
COMBINATION­­
FM+
PR
FM
FATHOMETER
FL
FLUORESCENCE,
CONTINUOUS
FLOW
S
FX
FLUORESCENCE,
CTD
PR
PROFILER,
3.5
KHZ
SUB­
BOTTOM
SS
SONAR,
SIDE
SCAN
IT
TRAP,
ICHTHYOPLANKTON,
ILLUMINAT
SURF_
TEMP
Surface
temperature
in
degrees
(
C).

BOT_
TEMP
Bottom
temperature
in
degrees
(
C).

AIR_
TEMP
Air
temperature
in
degrees
(
C).

B_
PRSSR
Barometric
pressure
in
millibars.
WIND_
SPD
Wind
speed
in
knots.

WIND_
DIR
Wind
direction
in
compass
degrees.

WAVE_
HT
Wave
height
in
meters.

SEA_
COND
Sea
surface
condition
according
to
Beaufort
Scale.

DATA_
CODE
2­
character
data
collection
code
designating
collection
agency.
Valid
values
are:

AL
Alabama
FL
Florida
GA
Georgia
LA
Louisiana
MS
Mississippi
NC
North
Carolina
SC
South
Carolina
TX
Texas
US
Federal
Vessel
99
Other
PR
Puerto
Rico
VI
Virgin
Islands
VESSEL_
SPD
Vessel
speed
in
knots.

STAT_
ZONE
Code
for
SEAMAP
shrimp
statistical
zone.
Valid
values
are
01
to
22.

TOW_
NO
Consecutive
tow
withing
a
SEAMAP
(
S_
STA_
NO).
Valid
values
are
1
to
9.

NET_
NO
Code
designating
tow
position
of
trawl.
Valid
values
are
1
=
Port
2
=
Starboard
3
=
Stern
Trawl
COMMENT
Short
comment
regarding
station
operations
and
any
issues
with
sampling.

ICHSTRWK
Database
File
Structure
Field
Name
Type
Wid
Dec
Range/
Table
Req
Units
1
CRUISE_
NO
Char
3
*
2
VESSEL
Char
2
VESSELS
*
3
P_
STA_
NO
Char
5
*
4
SAMPLE_
NO
Char
5
*
5
SIPC_
CODE
Char
1
SIPC
6
DATA_
CODE
Char
2
DATACODE
*
7
CR_
STDATE
Date
8
mm/
dd/
yy
8
CRENDDATE
Date
8
mm/
dd/
yy
9
AREA_
PROJ
Char
2
AREA_
PRO
10
PI_
CODE
Char
2
PI_
CODE
11
TIME_
ZONE
Char
1
TIMEZONE
*
12
TIME
Char
4
0000
­
2359
*
hrs,
min
13
GEAR_
CODE
Char
2
GEAR_
ICH
14
MESH_
CODE
Char
2
MESH_
ICH
15
START_
TIME
Char
6
000000
­
235959
hrs,
min,
sec
16
END_
TIME
Char
6
000000
­
235959
hrs,
min,
sec
17
START_
FLOW
Num
6
x
>=
0
meter
reading
18
END_
FLOW
Num
6
x
>=
0
meter
reading
19
MIN_
DEPTH
Num
4
x
>=
0
meters
20
MAX_
DEPTH
Num
4
x
>=
0
meters
21
VOL_
FILT
Num
3
cu.
meters
22
ROTOR
Num
5
x
>=
0
23
NO_
EGGS
Num
6
x
>=
0
24
EGGS_
ALIQU
Char
4
ALIQUOT
Explanation
of
ICHSTRWK
Variables
CRUISE_
NO
3­
character
cruise
code.

VESSEL
2­
character
vessel
code.
See
explanantion
of
STATCARD
variables
for
valid
values.

P_
STA_
NO
5­
character
code
designating
the
Pascagoula
station
number.

SAMPLE_
NO
5­
characer
code
designating
the
SEAMAP
plankton
sample
number.
This
is
a
unique
identifier
for
each
sample.
SIPC_
CODE
Sample
initial
preservative
code.
Valid
values
are:

0
Unknown
1
5%
Formalin
2
10%
Formalin
3
95%
Ethanol
4
70%
Ethanol
5
0T0FIX
DATA_
CODE
Equivalent
to
DATA_
CODE
in
the
STATCARD
database
file.

CR_
STDATE
Date
the
cruise
began
in
MM/
DD/
YY
format.

CRENDDATE
Date
the
cruise
ended
in
MM/
DD/
YY
format.

AREA_
PROJ
Code
for
area
and
project.
Valid
Values
are:

01
GOM/
SEAMAP
02
NOT
SEAMAP
03
CAN/
RICHARDS
04
W.
J.
RICHARDS
05
SA/
SEAMAP
PI_
CODE
Principle
Investigator
Code.
Valid
Values
are:

01
NMFS
02
GCRL
03
TOPW
04
FL.
DNR
05
LDWF
06
STATE
OF
AL
07
UNIV.
MIA.
08
CANADA
09
MEXICO
10
FL.
INST.
OCEAN
11
TEXAS
12
SOUTH
CAROLINA
TIME_
ZONE
Equivalent
in
structure
and
valid
values
to
TIME_
ZN
in
the
STATCARD
structures.
May
be
different
values
and
times
than
the
STATCARD
values.
TIME
Approximate
time
(
HHMM)
plankton
sampling
operations
began.

GEAR_
CODE
Plankton
gear
code.
Valid
values
are:

01
60
cm
Bongo
0.61
02
1m
Ring
1.00
03
1X2m
Neuston
04
1/
2m
Ring
0.50
05
20
cm
Bongo
0.20
07
1m**
2
Tucker
Trawl
08
Double
1X2m
Neuston
09
1m**
2
Mocness
10
4m**
2
Mocness
11
60
cm
o/
c
Bongo
0.60
12
20
cm
o/
c
Bongo
0.20
13
60
cm
BNF1
0.61
14
70
cm
Bongo
0.70
06
Other/
Unknown
MESH_
CODE
Plankton
net
mesh
size
code.
Valid
values
are:

01
.303m
02
.999m
03
.333m
04
.253m
05
.505m
06
UNKNOWN
09
.946m
10
.363m
11
.153m
12
.202m
13
.760m
14
.064m
15
.100m
START_
TIME
Time
in
hrs,
min,
sec
(
HHMMSS)
that
the
plankton
gear
began
fishing.

END_
TIME
Time
in
hrs,
min,
sec
(
HHMMSS)
that
the
plankton
gear
stopped
fishing.

START_
FLOW
Starting
flow
meter
reading.

END_
FLOW
Ending
flow
meter
reading.
MIN_
DEPTH
Minimum
tow
depth
in
meters.

MAX_
DEPTH
Maximum
tow
depth
in
meters.

VOL_
FILT
Volume
of
water
in
cubic
meters
filtered
through
the
plankton
net.

ROTOR
Constant
valued
from
the
flow
meter
manufacture
used
to
convert
flow
meter
counts
to
distance.

NO_
EGGS
Number
of
fish
eggs
removed
from
the
sample.

EGGS_
ALIQU
Size
of
sample
aliquot
eggs
were
removed
from.
Valid
Values
are:

1/
1
1/
2
1/
4
1/
8
ICHSARWK
Database
File
Structure
Field
Name
Type
Wid
Dec
Range/
Table
Req
Units
1
CRUISE_
NO
Char
3
*
2
VESSEL
Char
2
VESSELS
*
3
P_
STA_
NO
Char
5
*
4
SAMPLE_
NO
Char
5
*
5
SAMP_
STAT
Char
1
SMPLSTAT
6
DATA_
CODE
Char
2
DATACODE
*
7
CATALOG_
NO
Char
13
8
TAXONOMIC
Char
13
BIOCODE
*
9
BIOCODE
Num
9
BIOCODE
*
10
LIFE_
STAGE
Char
1
LIFESTA
11
MEAS
Num
4
x
>=
0
*
12
NOT_
MEAS
Num
4
x
>=
0
13
SAMP_
DATE
Date
8
*
mm/
dd/
yy
14
VOL_
DISP
Num
3
x
>=
0
milliliters
15
ALIQUOT
Char
3
1/
1,1/
2,1/
4,1/
8
16
STATUS
Char
2
STATUS
17
COMMENT
Char
75
18
SASBIOCODE
Char
12
19
SASTAXON
Char
50
20
TIMES
Char
2
21
UP_
YEAR
Char
4
22
UP_
DATE
Char
10
23
UP_
ACTION
Char
1
24
UP_
ID
Char
3
25
UP_
TYPE
Char
15
26
UP_
PREDATE
Char
1
Explanation
of
ICHSARWK
Variables
CRUISE_
NO
3­
character
cruise
code.

VESSEL
2­
character
vessel
code.
See
explanantion
of
STATCARD
variables
for
valid
values.

P_
STA_
NO
5­
character
code
designating
the
Pascagoula
station
number.

SAMPLE_
NO
5­
characer
code
designating
the
SEAMAP
plankton
sample
number.
This
is
a
unique
identifier
for
each
sample.

SAMP_
STAT
Sample
status
sorting
code.
Valid
values
are:

0
Unknown
1
Sorted
with
fish
caught
2
Sorted
with
no
fish
caught
3
Sample
lost
or
broken
4
Sample
sorted
for
only
selected
taxa
5
Sample
sent
to
Gulf
Coast
Research
Lab
6
Sample
sent
to
Miami
Laboratory
7
Sample
sent
to
Panama
City
Laboratory
8
Sample
used
for
student
thesis
9
Sample
number
assigned
no
sample
taken
A
Bongo/
Neuston
paired
status
*
Non­
Quantitative
DATA_
CODE
Equivalent
to
DATA_
CODE
in
the
STATCARD
database
file.

CATALOG_
NO
13­
character
field
containing
the
SEAMAP
archive
serial
number.

TAXONOMIC
13­
character
field
containg
the
abbreviated
SEAMAP
taxonomic
code.
At
the
species
level
the
1st
7
character
refer
to
the
genus
and
the
last
6
characters
refer
to
the
species.
At
taxonomic
levels
greater
than
species
the
whole
field
is
used
to
identify
a
taxon.

BIOCODE
9­
digit
numeric
code
for
a
taxon.

LIFE_
STAGE
Life
stage
of
a
taxon.
Currently
not
used
for
fish
larvae.
Valid
values
are:

1
ZOEAE
2
MEGALOPAE
3
POSTLARVAE
4
JUVENILE
MEAS
Number
of
fish
larvae
measured
for
a
specific
CATALOG_
NO.

NOT_
MEAS
Number
of
fish
larvae
not
measured
for
a
specific
CATALOG_
NO.

SAMP_
DATE
Date
sample
(
SAMPLE_
NO)
was
taken
in
MM/
DD/
YY
format.

VOL_
DISP
Wet
displacement
volume
in
milliliter/
cubic
centimeters
of
entire
plankton
sample.

ALIQUOT
Size
of
sample
aliquot
from
which
fish
larvae
were
sorted.
Valid
values
are:

1/
1
1/
2
1/
4
1/
8
STATUS
Taxonomic
identification
status
code.
Valid
values
are:

00
Normal
condition.
No
examination
of
or
changes
in
sample
have
been
made.
01
Specimen(
s)
lost.
02
Specimen(
s)
destroyed.
03
Specimen(
s)
cleared
and
stained.
04
Specimen(
s)
dessicated,
but
not
destroyed.
05
Specimen(
s)
sectioned.
06
ID
change.
Orig
ID
incorrect;
new
ID
positive
to
genus
level.
07
ID
change.
Orig
ID
incorrect;
new
ID
positive
to
species
level.
08
ID
change.
Orig
ID
incorrect;
new
ID
uncertain.
09
ID
change.
Orig
ID
incorrect;
see
DCOMM(
yr).
10
ID
change.
Orig
ID
incorrect;
disagreement
on
correct
ID
among
loan
users;
see
DCOMM(
yr).
11
Orig
ID
confirmed.
12
ID
change.
Orig
ID
incorrect;
new
ID
positive
to
family
level.
13
ID
change.
Orig
ID
incorrect;
new
ID
positive
to
order
level.
14
Specimen(
s)
on
permanent
or
long
term
loan.

COMMENT
Short
comment
documenting
issues
at
the
CATALOG_
NO
level.

SASBIOCODE,
SASTAXON,
TIMES,
UP_
YEAR,
UP_
DATE,
UP_
ACTION,
UP_
ID,
UP_
TYPE,
UP_
PREDATE
Variables
added
to
the
structure
to
allow
for
tracking
updates
to
the
SEAMAP
ichthyoplankton
databases
by
the
data
management
team.
They
are
not
documented
for
the
original
SEAMAP
system.

SECTION
II
Within
Table
Relationships
STATCARD
The
STATCARD
database
contains
individual
records
for
each
station
at
which
sampling
occurred,
including
stations
at
which
gear
other
than
plankton
gears
were
used.
Each
unique
record
in
the
database
is
defined
by
the
combination
of
the
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
variables.
Only
the
combination
of
all
three
variables
will
define
a
unique
station.

ICHSTRWK
The
ICHSTRWK
database
contains
individual
records
for
each
plankton
sample
number
(
SAMPLE_
NO)
taken
at
a
station.
The
database
therefore
contains
1
record
for
each
sample
number.
However,
there
may
be
multiple
samples
(
SAMPLE_
NO)
for
each
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO.

ICHSARWK
The
ICHSARWK
database
contains
at
least
one
record
for
each
sample
number
(
SAMPLE_
NO)
in
the
ICHSTRWK.
Within
the
ICHSARWK
database
the
combination
of
the
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPEL_
NO
+
CATALOG_
NO
define
a
unique
record.
Samples
with
a
sample
status
(
SAMP_
STAT)
equal
to
0,
2,
3,
5,
6,
7,
8,
and
9
contain
a
single
record.
These
records
are
place
holders
that
indicate
the
disposition
of
samples
taken
under
the
SEAMAP
umbrella.
Samples
with
a
sample
status
equal
to
1,
4
or
*
may
have
multiple
records
associated
with
a
sample
number.
Only,
records
with
a
sample
status
of
1,
4,
and
*
will
have
information
pertaining
to
specific
taxon.
Records
with
a
sample
status
of
1
or
2
are
the
only
samples
that
should
be
used
for
quantitative
analysis
and
summaries.
A
sample
status
of
1
indicates
the
sample
was
shorted
for
all
fish
larvae,
and
a
status
of
2
indicates
a
valid
sample
with
no
fish
larvae.
The
taxonomic
(
TAXONOMIC)
and/
or
biocode
(
BIOCODE)
variables
do
not
define
a
unique
record,
and
multiple
entries
for
a
specific
taxon
may
be
valid
for
multiple
catalog
numbers
under
a
single
sample
number.

Among
Table
Relationships
The
STATCARD,
ICHSTRWK
and
ICHSARWK
databases
are
relational,
and
information
in
them
follows
a
hierarchical
progression.
In
regards
to
ichthyoplankton
data,
the
statcard
with
its
location
information
is
at
the
station
level,
the
ICHSTRWK
is
at
the
level
individual
samples
collected
at
a
station,
while
the
ICHSTRWK
contains
information
on
the
individual
fish
larvae
taken
in
the
samples.
In
order
to
link
to
information
contain
in
each
of
the
separate
databases
the
following
relationships
can
be
used.

Information
between
the
STATCARD
and
ICHSTRWK
can
be
linked
(
merged)
by
setting
a
relationship
between
the
unique
combination
of
the
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
variables.

Information
between
the
ICHSTRWK
and
ICHSARWK
can
be
linked
(
merged)
by
setting
a
relationship
between
the
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
variables.

Information
may
also
be
linked
by
setting
relationships
between
any
of
the
variables
common
among
the
3
databases.
Suggestions
for
how
to
link
(
merge)
the
databases
for
quantitative
analysis
can
be
found
in
the
next
section.

SECTION
III
Suggestions
for
Quantitative
Analysis
This
section
is
written
for
user
wishing
to
use
the
SEAMAP
ichthyoplankton
databases
to
develop
quantitative
analyses
and
summaries.
The
focus
will
be
on
utilizing
the
standard
SEAMAP
bongo
and
neuston
collections
to
determine
abundance
estimates
for
eggs,
displacement
volume,
total
fish
larvae
and
larvae
of
specific
taxon.
It
assumes
that
users
will
wish
to
select
data
from
specific
geographic
areas.

Ichthyoplankton
samples
have
been
collected
during
fisheryindependent
resource
surveys
in
the
Gulf
of
Mexico
(
GOM)
since
1982
under
the
Southeast
Area
Monitoring
and
Assessment
Program
(
SEAMAP).
Surveys
are
conducted
by
the
National
Marine
Fisheries
Service
in
cooperation
with
the
states
of
Florida,
Alabama,
Mississippi,
and
Louisiana.
The
SEAMAP
samples
compose
a
majority
of
the
data
in
the
ICHSTRWK
and
ICHSARWK
databases.

Most
but
not
all
SEAMAP,
standard
plankton
stations
(
bnumbers)
are
located
at
30
mile
or
½
degree
(~
56
km)
intervals
in
a
fixed,
systematic
grid
across
the
GOM
(
Figure
1),
although,
only
every
other
N­
S
transect
of
stations
is
sampled
during
spring
surveys
and
during
fall
plankton
surveys
in
1988­
1991.
Summer
and
Fall
SEAMAP
sampling
is
conducted
at
bnumbers
over
the
continental
shelf,
and
Spring
sampling
in
the
open
waters
of
the
Gulf
of
Mexico.
Occasionally
during
surveys,
samples
are
taken
at
nonstandard
locations
or
stations
are
moved
to
avoid
navigational
hazards.
Samples
are
taken
upon
arrival
on
station
regardless
of
time
of
day.
At
each
station
either
a
bongo
and/
or
neuston
tow
are
made
depending
on
the
specific
survey.

Standard
SEAMAP
survey
plankton
sampling
is
conducted
with
61
cm
bongo
nets
and/
or
single
or
double
1x2
meter
neuston
net.
The
61
cm
bongo
net
is
fitted
with
0.333
(
0.335)
micron
mesh
nets.
Bongo
nets
are
fished
in
an
oblique
tow
path
from
the
surface
to
a
maximum
depth
of
200
m
or
to
2­
5
m
off
the
bottom
at
depths
less
than
200
m.
A
mechanical
flowmeter
is
mounted
off­
center
in
the
mouth
of
each
bongo
net
to
record
the
volume
of
water
filtered.
Volume
filtered
ranges
from
~
20
to
600
m3
but
is
typically
30
to
40
m3
at
the
shallowest
stations
and
300
to
400
m3
at
the
deepest
stations.
Typically,
abundance
for
eggs,
displacement
volume
and
fish
larvae
are
expresses
as
the
number
or
volume
under
10
m2
of
sea
surface.
Alternately,
abundance
may
be
expresses
as
the
number
or
volume
per
volume
of
seawater
filtered
through
the
net.
However,
per
volume
of
seawater
estimates
are
integrated
over
the
entire
depth
range.
Neuston
nets
are
fitted
with
0.947
(
0.950)
1
mm
mesh
net.
The
neuston
gear
is
towed
at
the
surface
with
its
frame
half­
submerged
for
10
minutes.
Data
are
only
available
for
fish
larvae.
Abundance
estimates
of
fish
larvae
are
expressed
as
the
number
per
10
minute
tow.
Non­
standard
gear
and
mesh
sizes
have
been
used
to
collect
plankton
samples
and
are
coded
as
such
in
the
database.

In
order
arrive
at
these
abundance
estimates
it
will
be
necessary
to
utilize
data
from
all
of
the
STATCARD,
ICHSTRWK
and
ICHSARWK
databases.
This
is
necessary
since
the
databases
are
optimized
for
efficient
storage
not
data
analysis
and
summary.
For
instance,
examining
the
basic
database
structures
outlined
above
we
can
see
position
information
is
located
in
the
STATCARD;
information
of
the
gear
used
and
effort
are
located
in
the
ICHSTRWK;
and
variables
necessary
to
enumerate
larvae
of
individual
taxon
and
sample
status
are
located
in
the
ICHSARWK.
Therefore,
in
order
to
determine
abundance
estimates
of
fish
larvae
for
a
specific
gear
and
mesh
combination
within
a
given
geographic
area
requires
the
building
of
a
dataset
that
contains
all
the
necessary
variables
from
all
three
databases.
The
rest
of
this
document
will
deal
with
the
specifics
of
arriving
at
these
estimates
for
the
standard
SEAMAP
samples.
Each
section
covers
a
different
topic.
Putting
all
the
variables
needed
to
do
quantitative
analysis
into
a
singe
dataset.

Since
most
personal
computers
have
the
storage
and
memory
requirement
to
handle
large
amounts
of
data,
start
by
merging
the
three
separate
databases
into
a
single
database/
dataset
that
can
be
further
manipulated.
The
following
steps
outline
suggested
concepts
necessary
to
do
this:

1.
Add
a
new
numeric
variable
to
the
STATCARD
database
called
STAREC
(
statcard
record)
and
set
it
equal
to
1
for
all
records.

2.
Add
a
new
numeric
variable
to
the
ICHSTRWK
database
called
ISTREC
(
ichstrwk
record)
and
set
it
equal
to
1
for
all
records.

3.
Add
a
new
numeric
variable
to
the
ICHSARWK
file
called
ISAREC
(
ichsarwk
record)
and
set
it
equal
to
1
for
all
records.

4.
Sort/
index
the
STATCARD
file
on
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
5.
Sort/
index
the
ICHSTRWK
file
on
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
6.
Sort/
index
the
ICHSARWK
file
on
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO.

7.
Merge/
combine
the
STATCARD
and
ICHSTRWK
files
by
setting
a
relationship/
link
between
the
STATCARD
and
ICHSTRWK
databases
on
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO.

8.
Sort/
index
the
combined
STATCARD/
ICHSTRWK
file
on
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO.

9.
Next,
merge/
combine
the
newly
combined
STATCARD/
ICHSTRWK
database/
dataset
with
the
ICHSARWK
database
by
setting
a
relationship/
link
between
the
combined
STATCARD/
ICHSTRWK
and
the
ICHSARWK
database
on
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO.

9.
Keep
only
the
records
in
the
final
database/
dataset
where
The
variables
STAREC
=
1
and
ISTREC
=
1
and
ISAREC
=
1.
The
final
database/
dataset
should
have
as
many
records
as
were
found
in
the
original
ICHSARWK
database.
The
final
dataset
should
now
contain
the
STATCARD
and
ICHSTRWK
information
for
each
record
in
the
ICHSARWK
database.

Filtering
data
by
geographic
area.

The
SEAMAP
BNumbers
(
Figure
1)
represent
the
systematic
sampling
grid
design
of
the
SEAMAP
surveys.
The
bnumbers
when
recorded
are
found
in
the
SEAMAP
Station
Number
Field
(
S_
STA_
NO).
Unfortunately,
the
bnumbers
are
not
consistently
recorded
for
all
cruises,
nor
are
they
recorded
in
a
consistent
manner
in
the
S_
STA_
NO
variable.
For
example,
bnumber
B001
may
appear
in
the
database
as
B1,
B01,
B001,
B­
001
etc..
Therefore,
filtering
data
by
geographic
area
is
best
done
by
longitude
and
latitude.
Figure
1
can
be
used
to
find
the
approximate
area
a
bnumber
represents.
It
is
easiest
to
work
in
decimals
degree.
Using
the
combined
database
created
earlier
or
with
the
STATCARD
database,
decimal
longitude
and
latitude
can
be
calculated
as
follows
(
make
sure
to
include
parentheses
in
the
formula):

Decimal
Longitude:

(
(
S_
LOND
+
(
S_
LONM
/
60
)
)
*
­
1
)

Decimal
Lattitude:

(
S_
LATD
+
(
S_
LATM
/
60
)
)

Filtering
Data
by
Gear
and
Sampling
Status
The
beginning
of
this
section
outlines
the
SEAMAP
sampling
design
and
the
standard
bongo
and
neuston
net
sampling
gears.
The
primary
difference
between
the
two
gears
is
that
the
bongo
gear
can
give
estimates
of
abundance
for
eggs,
displacement
volume,
total
fish
larvae
and
individual
taxonomic
categories,
while
the
neuston
gear
only
provides
data
on
fish
larvae
and
individual
taxonomic
categories.
However,
egg
and
displacement
volume
may
not
be
available
for
all
bongo
samples.
Bongo
net
samples
as
noted
above
are
towed
in
an
oblique
pattern
from
the
surface
to
near
bottom
and
then
back
to
the
surface.
Therefore
abundance
estimates
based
on
volume
or
surface
area,
for
a
sample
are
intergraded
over
the
water
column.
Nueston
net
samples
are
only
collected
from
the
surface
half
meter
of
the
water
column
and
are
effort
bases
on
time.

Valid
quantitative
SEAMAP
samples
can
be
filter
out
of
the
combined
STATCARD/
ICHSTRWK/
ICHSARWK
data
set
by
selecting
only
records
where:

For
Standard
SEAMAP
Bongo
Net
Tows:

(
GEAR_
CODE
=
"
01"
and
MESH_
CODE
=
"
03")
and
(
SAMP_
STAT
=
"
1"
or
SAMP_
STAT
=
"
2")

I.
E,
give
me
only
samples
where
gear
=
61
cm
bongo
with
a
mesh
size
of
.333
with
a
sorting
status
of
sorted
with
fish
larvae
found
or
sorted
with
no
larvae.

For
Standard
SEAMAP
Neuston
Net
Tows:

(
(
(
GEAR_
CODE
=
"
03"
or
GEAR_
CODE
=
"
08")
and
MESH_
CODE
=
`
09'
)
and
(
SAMP_
STAT
=
`
1'
or
SAMP_
STAT
=
`
2')

I.
E,
give
me
only
samples
collected
where
gear
=
a
single
or
double
neuston
net
sample
with
a
mesh
size
of
.947
with
a
sorting
status
of
sorted
with
fish
larvae
found
or
sorted
with
no
larvae.
­
98
­
97
­
96
­
95
­
94
­
93
­
92
­
91
­
90
­
89
­
88
­
87
­
86
­
85
­
84
­
83
­
82
­
81
­
80
23
24
25
26
27
28
29
30
31
B001
B002
B003
B004
B005
B006
B007
B008
B009
B010
B011
B012
B013
B014
B015
B016
B017
B018
B019
B020
B021
B022
B023
B024
B025
B026
B027
B028
B029
B030
B031
B032
B033
B034
B035
B036
B037
B038
B039
B040
B041
B042
B043
B044
B045
B046
B047
B048
B049
B050
B051
B052
B053
B054
B055
B056
B057
B058
B059
B060
B061
B062
B063
B064
B065
B066
B067
B068
B069
B070
B071
B072
B073
B074
B075
B076
B077
B078
B079
B080
B081
B082
B083
B084
B085
B086
B087
B088
B089
B090
B091
B092
B093
B094
B095
B096
B097
B098
B099
B100
B101
B102
B103
B104
B105
B106
B107
B108
B109
B110
B111
B112
B113
B114
B115
B116
B117
B118
B119
B120
B121
B122
B123
B124
B125
B126
B127
B128
B129
B130
B131
B132
B133
B134
B135
B136
B137
B138
B139
B140
B141
B142
B143
B144
B145
B146
B147
B148
B149
B150
B151
B152
B153
B154
B155
B156
B157
B158
B159
B160
B161
B162
B163
B164
B165
B166
B167
B168
B169
B170
B171
B172
B173
B174
B175
B176
B177
B178
B179
B180
B181
B182
B183
B184
B185
B186
B187
B188
B189
B190
B191
B192
B193
B194
B195
B196
B197
B198
B199
B200
B201
B202
B203
B204
B205
B206
B207
B208
B209
B210
B211
B212
B213
B214
B215
B216
B217
B218
B219
B220
B221
B222
B223
B224
B225
B226
B227
B228
B229
B230
B231
B232
B233
B234
B235
B236
B237
B238
B239
B240
B241
B242
B243
B244
B245
B246
B247
B248
B249
B250
B251
B252
B253
B254
B255
B256
B257
B258
B259
B260
B261
B262
B263
B264
B265
B266
B267
B268
B269
B270
B271
B272
B273
B274
B275
B276
B277
B278
B279
B280
B281
B282
B283
B284
B285
B286
B287
B288
B289
B290
B291
B292
B293
B294
B295
B296
B297
B298
B299
B300
B301
B302
B303
B304
B305
B306
B307
B308
B309
B310
B311
B312
B313
B314
B315
B316
B317
B318
B319
B320
B321
B322
B323
B324
B325
B326
B327
B328
B329
A165
A160
Figure
1.
Gulfwide
distribution
of
SEAMAP
BNumbers.
A
merged
dataset
is
necessary
since
the
GEAR_
CODE
and
MESH_
CODE
variables
are
taken
from
the
ICHSTRWK
database
and
the
SAMP_
STAT
variable
from
the
ICHSARWK
database.

The
majority
of
the
database
has
only
a
data
for
only
a
single
bongo
or
neuston
sample
taken
at
each
station.
In
some
cases
both
samples
from
a
paired
gear
(
bongo
or
double
neuston)
may
have
data
from
both
samples
taken
at
a
station.
These
samples
can
be
considered
as
replicates.
In
addition,
some
stations
may
have
multiple
bongo
or
nueston
tows
at
the
same
station.
Currently,
the
database
does
not
code
for
paired
samples
or
multiple
samples
taken
at
a
station.

Estimating
Abundance
of
Fish
Larvae
from
Bongo
Net
Samples.

As
noted
above,
abundance
estimates
of
fish
larvae
can
be
volume
or
surface
area
based.
Additionally,
estimates
of
fish
larvae
can
be
based
on
all
fish
larvae
in
a
sample
(
total
fish
larvae),
or
based
on
individual
taxonomic
categories.
This
section
will
outline
the
necessary
calculation
and
concepts
necessary
to
properly
enumerate
total
fish
larvae
and
fish
larvae
by
taxonomic
category.

At
this
point,
we
will
assume
that
our
combined
dataset
created
at
the
beginning
of
this
section
has
been
pre­
filtered
by
geographic
area
and
contains
only
records
for
valid
(
SAMP_
STAT
=
1
or
2)
bongo
(
GEAR_
CODE
=
`
01'
and
MESH_
CODE
=
`
03')
samples.
The
dataset
should
contain
a
single
record
for
each
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
+
CATALOG_
NO.
Unique
combinations
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
+
CATALOG_
NO
for
samples
with
a
SAMP_
STAT
=
2
in
the
dataset
will
have
a
empty
CATALOG_
NO
variable,
and
will
have
only
a
single
record
in
the
dataset.
As
the
only
record,
the
blank
CATALOG_
NO
field
is
unique
for
that
SAMPLE_
NO.
Unique
combinations
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
+
CATALOG_
NO
with
a
SAMP_
STAT
=
1
will
have
a
unique
CATALOG_
NO
for
each
record,
and
will
have
one
record
for
each
unique
CATALOG_
NO
for
a
unique
SAMPLE_
NO.
Therefore,
there
are
1
or
more
records
for
SAMPLE_
NOs
with
a
SAMP_
STAT
=
1.
However,
there
may
be
several
unique
CATALOG_
NOs
in
a
sample
with
the
same
TAXONOMIC
category.
Figure
2
shows
a
hypothetical
minimum
dataset
for
3
unique
SAMPLE_
NOs
for
2
samples
with
a
SAMP_
STAT
=
2
and
single
SAMPLE_
NO
with
a
SAMP_
STAT
=
1.

The
minimum
variable
set
necessary
to
calculate
the
number
of
larvae
under
10
m2
for
each
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
+
CATALOG_
NO
is
MEAS,
NOT_
MEAS,
ALIQUOT,
VOL_
FILT
and
MAX_
DEPTH.
The
minimum
variable
set
necessary
to
calculate
the
number
of
larvae
per
m3
is
MEAS,
NOT_
MEAS,
ALIQUOT,
VOL_
FILT.
However,
several
changes
to
the
dataset
are
needed
prior
to
calculating
these
values
due
to
the
way
the
data
is
stored
in
the
original
databases:

1.
In
some
instances
the
numeric
MEAS
and
NOT_
MEAS
fields
are
blank
(
null)
or
may
contain
­
9
(
also
considered
a
null
value).
In
these
cases,
the
blanks
and
­
9
must
be
set
to
a
value
of
0
(
zero).
For
example,
if
MEAS
=
­
9
then
MEAS
=
0
or
if
MEAS
=
NULL
(
database
dependent)
then
MEAS
=
0,
and
likewise
for
NOT_
MEAS.

2.
ALIQUOT
in
the
database
is
a
character
variable
with
valid
values
of
ALIQUOT
=
"
1/
1",
"
1/
2",
"
1/
4"
or
"
1/
8".
SAMPLE_
NOs
with
a
SAMP_
STAT
=
`
1'
will
have
one
of
the
valid
values.
SAMPLE_
NOs
with
a
SAMP_
STAT
=
`
2'
may
have
a
valid
value
or
be
left
blank.
In
order
to
properly
calculate
the
larvae/
10
m2
or
larvae/
10
m3
values,
a
numeric
variable
to
be
used
as
an
ALIQUOT
multiplier
will
be
necessary.
The
multiplier
is
the
reciprocal
of
the
fraction
represented
in
the
ALIQUOT
variable,
i.
e.
"
1/
2"
=
2.
This
step
is
necessary
in
order
to
account
for
sub­
sampling
by
aliquoting.
For
SAMPLE_
NOs
with
a
SAMP_
STAT
=
`
2'
the
aliquot
multiplier
is
1.
The
new
variable
can
be
created
with
the
following
logic:

If
ALIQUOT
=
"
1/
1"
then
MULTIPLIER
=
1
If
ALIQUOT
=
"
1/
2"
then
MULTIPLIER
=
2
If
ALIQUOT
=
"
1/
4"
then
MULTIPLIER
=
4
If
ALIQUOT
=
"
1/
8"
then
MULTIPLIER
=
8
If
SAMP_
STAT
=
`
2'
then
MULTIPLIER
=
1
Figure
3
shows
the
modifications
to
the
pertinent
variables
for
the
sample
numbers
in
our
hypothetical
dataset
from
Figure
2.

Once
these
modifications
have
taken
place
it
is
possible
to
calculate
larvae/
10
m2
or
larvae/
10
m3
for
each
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
+
CATALOG_
NO
(
Figure
4).
The
formula
for
larvae/
10
m2
is:

((
MEAS
+
NOT_
MEAS)
*
MULTIPLIER)
*
((
MAX_
DEPTH/
VOL_
FILT)
*
10)

where:

((
MEAS
+
NOT_
MEAS)
*
MULTIPLIER)
=
Extrapolated
total
number
of
fish
larvae
for
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
+
CATALOG_
NO
((
MAX_
DEPTH/
VOL_
FILT)
*
10)
=
The
standard
haul
factor
for
a
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
Note:
The
10
in
the
standard
haul
factor
can
be
changed
to
any
multiplier.
For
example,
100
which
will
result
in
larvae/
100
m2.

The
formula
for
larvae/
m3
is:

((
MEAS
+
NOT_
MEAS)
*
MULTIPLIER)
/
(
VOL_
FILT)

where:

((
MEAS
+
NOT_
MEAS)
*
MULTIPLIER)
=
Extrapolated
total
number
of
fish
larvae
for
a
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
+
CATALOG_
NO
Figure
2.
Hypothetical
minimum
dataset
showing
data
for
three
unique
sample
numbers
from
a
cruise.

VESSEL
CRUISE_
NO
P_
STA_
NO
SAMPLE_
NO
SAMP_
STAT
VOL_
FILT
MAX_
DEPTH
CATALOG_
NO
TAXONOMIC
MEAS
NOT_
MEAS
ALIQUOT
4
145
41077
3115
2
100
100
4
145
41078
3116
2
200
200
­
9
­
9
1/
1
4
145
41079
3117
1
100
50
SML20218­
000
BOTHIDAE
2
­
9
1/
2
4
145
41079
3117
1
100
50
SML20603­
001
DECAPTEPUNCTA
2
­
9
1/
2
4
145
41079
3117
1
100
50
SML21163­
000
GOBIIDAE
2
13
1/
2
4
145
41079
3117
1
100
50
SML21892­
001
SCOMBERCAVALL
1
­
9
1/
2
4
145
41079
3117
1
100
50
SML20329­
000
SYACIUM
2
7
1/
2
4
145
41079
3117
1
100
50
SML20867­
000
LUTJANUCAMPEC
10
0
1/
2
4
145
41079
3117
1
100
50
SML22236­
000
LUTJANUCAMPEC
5
0
1/
2
Figure
3.
Modifications
to
the
pertinent
variables
for
the
sample
numbers
in
our
hypothetical
dataset
from
Figure
2.
VESSEL
CRUISE
and
P_
STA_
NO
not
shown.

SAMPLE_
NO
SAMP_
STAT
VOL_
FILT
MAX_
DEPTH
CATALOG_
NO
TAXONOMIC
MEAS
NOT_
MEAS
ALIQUOT
MULTIPLIER
3115
2
100
100
0
0
1
3116
2
200
200
0
0
1/
1
1
3117
1
100
50
SML20218­
000
BOTHIDAE
2
0
1/
2
2
3117
1
100
50
SML20603­
001
DECAPTEPUNCTA
2
0
1/
2
2
3117
1
100
50
SML21163­
000
GOBIIDAE
2
13
1/
2
2
3117
1
100
50
SML21892­
001
SCOMBERCAVALL
1
0
1/
2
2
3117
1
100
50
SML20329­
000
SYACIUM
2
7
1/
2
2
3117
1
100
50
SML20867­
000
LUTJANUCAMPEC
10
0
1/
2
2
3117
1
100
50
SML22236­
000
LUTJANUCAMPEC
5
0
1/
2
2
Figure
4.
Calculated
larvae/
10
m2
and
larvae
/
m3
for
each
unique
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+

SAMPLE_
NO
+
CATALOG_
NO
for
our
hypothetical
dataset
from
Figure
3.

SAMPLE_
NO
SAMP_
STAT
VOL_
FILT
MAX_
DEPTH
CATALOG_
NO
TAXONOMIC
MEAS
NOT_
MEAS
ALIQUOT
MULTIPLIER
TOTAL
FISH
SHF
LARVAE
LARVAE
LARVAE
10
SQR
METER
CUBIC
METER
3115
2
100
100
0
0
1
0
10
0
0
3116
2
200
200
0
0
1/
1
1
0
10
0
0
3117
1
100
50
SML20218­
000
BOTHIDAE
2
0
1/
2
2
4
5
20
0.04
3117
1
100
50
SML20603­
001
DECAPTEPUNCTA
2
0
1/
2
2
4
5
20
0.04
3117
1
100
50
SML21163­
000
GOBIIDAE
2
13
1/
2
2
30
5
150
0.3
3117
1
100
50
SML21892­
001
SCOMBERCAVALL
1
0
1/
2
2
2
5
10
0.02
3117
1
100
50
SML20329­
000
SYACIUM
2
7
1/
2
2
18
5
90
0.18
3117
1
100
50
SML20867­
000
LUTJANUCAMPEC
10
0
1/
2
2
20
5
100
0.2
3117
1
100
50
SML22236­
000
LUTJANUCAMPEC
5
0
1/
2
2
10
5
50
0.1
VOL_
FILT
=
Volume
of
water
filtered
for
a
unique
combination
of
VESSEL
+
CRUISE_
NO
+
P_
STA_
NO
+
SAMPLE_
NO
in
cubic
meters
Sorry
this
is
an
ongoing
process
and
I
have
been
redirected
to
another
project.
Please
contact
me
as
below
for
further
details.

David
S.
Hanisko
Research
Fisheries
Biologist
National
Marine
Fisheries
Service
Pascagoula
Laboratory
3209
Frederic
St.
Pascagoula
MS,
39568
Voice:
228­
762­
4591
x204
Fax:
228­
769­
9200
David.
S.
Hanisko@
noaa.
gov
or
David.
S.
Hanisko.
atsea@
noaa.
gov
