#V3.30.14.01-safe;_2019_07_23;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_12.0 #Stock Synthesis (SS) is a work of the U.S. Government and is not subject to copyright protection in the United States. #Foreign copyrights may apply. See copyright.txt for more information. #_user_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_user_info_available_at:https://vlab.ncep.noaa.gov/group/stock-synthesis #C Data file for Striped Bass stock assessment 2019 #C Test run #_observed data: #MODEL DIMENSIONS 1982 #_StartYear 2017 #_EndYear 1 #_Nseasons 12 #_Months/Season 2 #_Nsubseasons 4 #_SpawningMonth 2 #_Ngenders 17 #_Nages 1 #_Nareas 7 #_Nfleetsandsurveys #!!END MODEL DIMENSIONS!! #FLEET DEFINITIONS #_fleet_type: 1=catch fleet; 2=bycatch only fleet; 3=survey; 4=ignore #_survey_timing: -1=for use of catch-at-age to override the month value associated with a datum #_fleet_area: area the fleet/survey operates in #_units of catch: 1=bio; 2=num (ignored for surveys; their units read later) #_catch_mult: 0=no; 1=yes #_rows are fleets #FleetType Timing Area CatchUnits CatchMult FleetName Comment 1 -1 1 1 0 ARcomm # 1 1 -1 1 2 0 ASrec # 2 1 -1 1 2 0 RRrec # 3 3 8 1 2 0 P100juv # 4 3 1 1 2 0 P135fw # 5 3 4 1 2 0 P135spr # 6 3 5 1 2 0 RRef # 7 #!!END FLEET DEFINITIONS!! #OPTIONAL BYCATCH FLEETS #Bycatch_fleet_input_goes_next #a: fleet index #b: 1=include dead bycatch in total dead catch for F0.1 and MSY optimizations and forecast ABC; 2=omit from total catch for these purposes (but still include the mortality) #c: 1=Fmult scales with other fleets; 2=bycatch F constant at input value; 3=bycatch F from range of years #d: F or first year of range #e: last year of range #f: not used # a b c d e f #!!END OPTIONAL BYCATCH FLEETS!! #CATCH #_Catch data: yr, seas, fleet, catch, catch_se #_catch_se: standard error of log(catch) #_NOTE: catch data is ignored for survey fleets #Year Season Fleet Catch Catch SE -999 1 1 157.9 0.35 1982 1 1 72.01 0.10 1983 1 1 111.9 0.10 1984 1 1 173.6 0.10 1985 1 1 89.46 0.10 1986 1 1 65.10 0.10 1987 1 1 99.12 0.10 1988 1 1 36.64 0.10 1989 1 1 32.75 0.10 1990 1 1 40.78 0.10 1991 1 1 46.35 0.10 1992 1 1 42.45 0.10 1993 1 1 47.54 0.10 1994 1 1 28.05 0.05 1995 1 1 31.64 0.05 1996 1 1 28.30 0.05 1997 1 1 26.06 0.05 1998 1 1 36.61 0.05 1999 1 1 47.91 0.05 2000 1 1 64.63 0.05 2001 1 1 65.49 0.05 2002 1 1 51.82 0.05 2003 1 1 95.75 0.05 2004 1 1 60.18 0.05 2005 1 1 76.85 0.05 2006 1 1 59.35 0.05 2007 1 1 49.97 0.05 2008 1 1 24.04 0.05 2009 1 1 24.69 0.05 2010 1 1 63.08 0.05 2011 1 1 42.46 0.05 2012 1 1 35.20 0.05 2013 1 1 23.44 0.05 2014 1 1 20.34 0.05 2015 1 1 38.30 0.05 2016 1 1 49.29 0.05 2017 1 1 24.50 0.05 -999 1 2 3.504 0.35 1991 1 2 14.40 0.25 1992 1 2 10.54 0.25 1993 1 2 11.40 0.25 1994 1 2 8.591 0.25 1995 1 2 7.343 0.25 1996 1 2 7.433 0.25 1997 1 2 6.901 0.25 1998 1 2 19.57 0.25 1999 1 2 16.97 0.25 2000 1 2 38.09 0.25 2001 1 2 40.13 0.25 2002 1 2 27.90 0.25 2003 1 2 15.12 0.25 2004 1 2 28.00 0.25 2005 1 2 17.95 0.199 2006 1 2 10.71 0.217 2007 1 2 7.143 0.223 2008 1 2 10.05 0.317 2009 1 2 12.07 0.304 2010 1 2 3.504 0.222 2011 1 2 13.34 0.238 2012 1 2 22.35 0.229 2013 1 2 4.299 0.247 2014 1 2 5.529 0.182 2015 1 2 23.24 0.186 2016 1 2 4.794 0.190 2017 1 2 4.215 0.183 -999 1 3 3.130 0.35 1982 1 3 7.32 0.20 1983 1 3 6.98 0.20 1984 1 3 5.52 0.20 1985 1 3 3.13 0.20 1986 1 3 6.66 0.20 1987 1 3 10.03 0.20 1988 1 3 16.66 0.644 1989 1 3 8.75 0.244 1990 1 3 15.70 0.360 1991 1 3 26.93 0.261 1992 1 3 13.37 0.266 1993 1 3 14.33 0.296 1994 1 3 8.28 0.297 1995 1 3 7.47 0.545 1996 1 3 8.37 0.306 1997 1 3 9.36 0.321 1998 1 3 23.11 0.204 1999 1 3 22.48 0.255 2000 1 3 38.21 0.0680 2001 1 3 35.23 0.143 2002 1 3 36.42 0.0714 2003 1 3 11.16 0.400 2004 1 3 26.51 0.211 2005 1 3 34.12 0.146 2006 1 3 25.36 0.200 2007 1 3 19.31 0.139 2008 1 3 10.54 0.208 2009 1 3 23.25 0.119 2010 1 3 22.45 0.127 2011 1 3 22.10 0.0951 2012 1 3 28.85 0.108 2013 1 3 7.72 0.163 2014 1 3 11.06 0.154 2015 1 3 20.03 0.117 2016 1 3 21.26 0.117 2017 1 3 9.90 0.182 -9999 0 0 0 0 #_terminator for catch observations #!!END CATCH!! #INDICES #_CPUE_and_surveyabundance_observations #_Units: 0=numbers; 1=biomass; 2=F; >=30 for special types #_Errtype: -1=normal; 0=lognormal; >0=T #_SD_Report: 0=no sdreport; 1=enable sdreport #Fleet/Survey Units ErrorDist SD_Report 1 1 0 0 #ARcomm 2 0 0 0 #ASrec 3 0 0 0 #RRrec 4 33 0 0 #P100juv 5 0 0 0 #P135fw 6 0 0 0 #P135spr 7 0 0 0 #RRef #Year Month Fleet/Survey Observation SE Comment 1982 8 4 3.34 0.238 #P100juv_1982 1983 8 4 0.139 0.545 #P100juv_1983 1984 8 4 0.287 0.353 #P100juv_1984 1985 8 4 1.03 0.258 #P100juv_1985 1986 8 4 0.163 0.377 #P100juv_1986 1987 8 4 0.0599 0.558 #P100juv_1987 1988 8 4 4.69 0.234 #P100juv_1988 1989 8 4 5.88 0.218 #P100juv_1989 1990 8 4 1.32 0.241 #P100juv_1990 1991 8 4 0.733 0.261 #P100juv_1991 1992 8 4 2.22 0.243 #P100juv_1992 1993 8 4 42.3 0.212 #P100juv_1993 1994 8 4 54.1 0.210 #P100juv_1994 1995 8 4 8.70 0.216 #P100juv_1995 1996 8 4 33.6 0.211 #P100juv_1996 1997 8 4 5.15 0.218 #P100juv_1997 1998 8 4 5.18 0.252 #P100juv_1998 1999 8 4 0.925 0.274 #P100juv_1999 2000 8 4 56.3 0.214 #P100juv_2000 2001 8 4 3.48 0.236 #P100juv_2001 2002 8 4 5.88 0.220 #P100juv_2002 2003 8 4 0.257 0.363 #P100juv_2003 2004 8 4 1.76 0.253 #P100juv_2004 2005 8 4 24.8 0.213 #P100juv_2005 2006 8 4 2.87 0.226 #P100juv_2006 2007 8 4 5.22 0.216 #P100juv_2007 2008 8 4 5.63 0.229 #P100juv_2008 2009 8 4 0.370 0.302 #P100juv_2009 2010 8 4 6.97 0.215 #P100juv_2010 2011 8 4 15.0 0.212 #P100juv_2011 2012 8 4 3.34 0.236 #P100juv_2012 2013 8 4 0.376 0.300 #P100juv_2013 2014 8 4 17.0 0.213 #P100juv_2014 2015 8 4 17.8 0.212 #P100juv_2015 2016 8 4 5.66 0.216 #P100juv_2016 2017 8 4 1.35 0.236 #P100juv_2017 1991 1 5 39.4 0.489 #P135fw_1991 1992 1 5 38.5 0.495 #P135fw_1992 1993 1 5 32.2 0.507 #P135fw_1993 1994 1 5 114 0.313 #P135fw_1994 1995 1 5 26.5 0.537 #P135fw_1995 1996 1 5 24.0 0.567 #P135fw_1996 1997 1 5 36.8 0.487 #P135fw_1997 1998 1 5 38.7 0.470 #P135fw_1998 1999 1 5 30.7 0.511 #P135fw_1999 2000 1 5 41.4 0.468 #P135fw_2000 2001 1 5 64.5 0.449 #P135fw_2001 2002 1 5 82.9 0.333 #P135fw_2002 2003 1 5 26.3 0.685 #P135fw_2003 2004 1 5 32.5 0.489 #P135fw_2004 2005 1 5 68.8 0.392 #P135fw_2005 2006 1 5 68.5 0.411 #P135fw_2006 2007 1 5 1316 0.121 #P135fw_2007 2008 1 5 67.5 0.426 #P135fw_2008 2009 1 5 34.4 0.498 #P135fw_2009 2010 1 5 31.6 0.520 #P135fw_2010 2011 1 5 90.4 0.346 #P135fw_2011 2012 1 5 177 0.286 #P135fw_2012 2013 1 5 68.0 0.404 #P135fw_2013 2014 1 5 61.8 0.423 #P135fw_2014 2015 1 5 75.5 0.370 #P135fw_2015 2016 1 5 82.7 0.326 #P135fw_2016 2017 1 5 154 0.382 #P135fw_2017 1992 4 6 13.7 0.0769 #P135spr_1992 1993 4 6 9.94 0.0745 #P135spr_1993 1994 4 6 7.93 0.0848 #P135spr_1994 1995 4 6 11.5 0.0758 #P135spr_1995 1996 4 6 10.5 0.0776 #P135spr_1996 1997 4 6 16.0 0.0750 #P135spr_1997 1998 4 6 11.8 0.0750 #P135spr_1998 1999 4 6 12.4 0.0730 #P135spr_1999 2000 4 6 17.9 0.0745 #P135spr_2000 2001 4 6 17.8 0.0764 #P135spr_2001 2002 4 6 20.4 0.0764 #P135spr_2002 2003 4 6 11.6 0.0716 #P135spr_2003 2004 4 6 11.7 0.0752 #P135spr_2004 2005 4 6 12.6 0.0776 #P135spr_2005 2006 4 6 24.0 0.0786 #P135spr_2006 2007 4 6 21.6 0.0793 #P135spr_2007 2008 4 6 44.4 0.0797 #P135spr_2008 2009 4 6 19.0 0.0868 #P135spr_2009 2010 4 6 12.9 0.0917 #P135spr_2010 2011 4 6 17.5 0.0952 #P135spr_2011 2012 4 6 25.5 0.109 #P135spr_2012 2013 4 6 28.3 0.0944 #P135spr_2013 2014 4 6 17.6 0.0977 #P135spr_2014 2015 4 6 16.4 0.0816 #P135spr_2015 2016 4 6 19.4 0.0820 #P135spr_2016 2017 4 6 12.4 0.0873 #P135spr_2017 2005 5 7 126 0.162 #RRef_2005 2006 5 7 154 0.163 #RRef_2006 2007 5 7 62.2 0.164 #RRef_2007 2008 5 7 101 0.158 #RRef_2008 2009 5 7 102 0.189 #RRef_2009 2010 5 7 121 0.192 #RRef_2010 2011 5 7 54.2 0.167 #RRef_2011 2012 5 7 76.1 0.159 #RRef_2012 2013 5 7 58.5 0.202 #RRef_2013 2014 5 7 78.2 0.198 #RRef_2014 2015 5 7 58.0 0.199 #RRef_2015 2016 5 7 23.2 0.186 #RRef_2016 2017 5 7 16.5 0.194 #RRef_2017 -9999 1 1 1 1 #_terminator for survey observations #!!END INDICES!! #DISCARD 3 #_N_fleets_with_discard #_discard_units (1=same_as_catchunits(bio/num); 2=fraction; 3=numbers) #_discard_errtype: >0 for DF of T-dist(read CV below); 0 for normal with CV; -1 for normal with se; -2 for lognormal; -3 for trunc normal with CV # note, only have units and errtype for fleets with discard #_Fleet units errtype 1 3 -1 #ARcomm 2 1 -1 #ASrec 3 1 -1 #RRrec #Year Month Fleet Observation StandardError 1982 2 1 17.09 6.83 1983 2 1 22.75 9.10 1984 2 1 48.47 19.4 1985 2 1 29.83 11.9 1986 2 1 16.52 6.61 1987 2 1 21.49 8.60 1988 2 1 9.103 3.64 1989 2 1 7.545 3.02 1990 2 1 9.464 3.79 1991 2 1 10.27 4.11 1992 2 1 8.434 3.37 1993 2 1 8.952 3.58 1994 2 1 4.302 1.72 1995 2 1 4.938 1.98 1996 2 1 4.150 1.66 1997 2 1 3.967 1.59 1998 2 1 5.817 2.33 1999 2 1 7.401 2.96 2000 2 1 10.50 4.20 2001 2 1 11.63 4.65 2002 2 1 6.633 2.65 2003 2 1 10.39 4.16 2004 2 1 4.475 1.79 2005 2 1 9.566 3.83 2006 2 1 6.715 2.69 2007 2 1 4.803 1.92 2008 2 1 2.538 1.02 2009 2 1 3.294 1.32 2010 2 1 10.02 4.01 2011 2 1 6.646 2.66 2012 2 1 4.256 1.95 2013 2 1 6.706 1.07 2014 2 1 2.794 0.561 2015 2 1 3.539 0.744 2016 2 1 3.989 0.934 2017 2 1 2.762 0.612 1991 1 2 1.507 0.377 1992 1 2 1.279 0.320 1993 1 2 0.8474 0.212 1997 1 2 1.969 0.492 1998 1 2 5.881 1.470 1999 1 2 2.581 0.645 2000 1 2 5.052 1.263 2001 1 2 3.931 0.983 2002 1 2 3.300 0.825 2003 1 2 1.618 0.404 2004 1 2 2.627 0.657 2005 1 2 1.358 0.320 2006 1 2 0.6051 0.147 2007 1 2 0.8703 0.185 2008 1 2 2.366 0.671 2009 1 2 2.596 0.835 2010 1 2 1.037 0.272 2011 1 2 1.381 0.310 2012 1 2 1.598 0.368 2013 1 2 1.048 0.241 2014 1 2 1.478 0.326 2015 1 2 3.170 0.549 2016 1 2 0.6625 0.121 2017 1 2 1.578 0.310 1995 4 3 52.70 0.20 1996 4 3 163.5 0.20 1997 4 3 291.8 0.20 1998 4 3 190.0 0.20 1999 4 3 163.6 0.20 2000 4 3 93.15 0.20 2001 4 3 71.00 0.20 2002 4 3 55.78 0.20 2003 4 3 38.26 0.20 2004 4 3 187.3 0.20 2005 4 3 157.7 0.20 2006 4 3 65.52 0.20 2007 4 3 52.50 0.20 2008 4 3 189.6 0.20 2009 4 3 136.0 0.20 2010 4 3 123.9 0.20 2011 4 3 107.7 0.20 2012 4 3 63.02 0.20 2013 4 3 74.22 0.20 2014 4 3 165.5 0.20 2015 4 3 108.2 0.20 2016 4 3 52.64 0.20 2017 4 3 78.45 0.20 -9999 0 0 0.0 0.0 # terminator for discard data #!!END DISCARD!! #MEAN BODY WEIGHT OR LENGTH 0 #_use meanbodysize_data (0/1) #30 #_COND_0 #_DF_for_meanbodysize_T-distribution_like # note: use positive partition value for mean body wt, negative partition for mean body length #Year Month Fleet Partition Observation CV #-9999 0 0 0 0 0 #_terminator for mean body size data #!!END MEAN BODY WEIGHT OR LENGTH!! #POPULATION LENGTH BINS # set up population length bin structure (note - irrelevant if not using size data and using empirical wtatage 1 # length bin method: 1=use databins; 2=generate from binwidth,min,max below; 3=read vector #2 # COND_binwidth for population size comp #10 # COND_minimum size in the population (lower edge of first bin and size at age 0.00) #94 # COND_maximum size in the population (lower edge of last bin) #22 # COND3_NumberPopLengthBinstoRead #10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 1 # use length composition data (0/1) #_mintailcomp: upper and lower distribution for females and males separately are accumulated until exceeding this level. #_addtocomp: after accumulation of tails; this value added to all bins #_males and females treated as combined gender below this bin number #_compressbins: accumulate upper tail by this number of bins; acts simultaneous with mintailcomp; set=0 for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet #_Comp_Error2: parm number for dirichlet #_minsamplesize: minimum sample size; set to 1 to match 3.24, minimum value is 0.001 #MinTailComp AddedConstant CombineMF CompressBins CompErrDist DirichletParSelect MinSampleSize 0 0.0001 0 0 0 0 1 #ARcomm 0 0.0001 0 0 0 0 1 #ASrec 0 0.0001 0 0 0 0 1 #RRrec 0 0.0001 0 0 0 0 1 #P100juv 0 0.0001 0 0 0 0 1 #P135fw 0 0.0001 0 0 0 0 1 #P135spr 0 0.0001 0 0 0 0 1 #RRef #!!END POPULATION LENGTH BINS!! #LENGTH COMPOSITION DATA # sex codes: 0=combined; 1=use female only; 2=use male only; 3=use both as joint sexxlength distribution # partition codes: (0=combined; 1=discard; 2=retained) 51 #_N_LengthBins; then enter lower edge of each length bin 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 100 102 104 106 108 110 #Year Month Fleet Sex Partition Nsamp 1982 6 1 3 2 61 0 0 0 0 0 0 0 2 1 0 3 29 37 39 30 19 24 19 7 16 26 13 13 7 19 22 23 14 19 14 11 6 7 1 5 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 38 45 82 51 58 48 23 30 46 88 47 38 11 17 7 10 0 2 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1983 6 1 3 2 65 0 0 0 0 0 0 0 0 0 1 16 28 33 32 11 7 6 5 9 15 23 32 33 34 30 34 40 27 9 11 10 15 7 3 8 5 4 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 32 44 45 21 20 17 12 15 66 77 51 38 20 16 7 7 4 2 1 2 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1984 6 1 3 2 54 0 0 0 0 0 0 0 0 0 0 5 21 65 63 35 26 10 1 12 10 12 12 12 26 42 31 27 7 6 3 13 2 3 6 5 1 3 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 7 29 74 119 81 35 17 12 13 12 6 7 10 11 6 2 3 3 1 4 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1985 6 1 3 2 21 0 0 0 0 0 0 0 0 0 0 0 4 29 46 43 27 9 9 12 24 19 13 4 6 3 2 5 6 4 0 2 4 0 0 1 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 25 50 87 34 15 11 10 8 19 7 3 1 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1986 6 1 3 2 27 0 0 0 0 0 0 0 0 0 0 0 0 1 16 34 22 13 7 3 2 12 12 7 15 11 12 11 8 2 1 2 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 21 32 28 30 15 10 14 19 24 10 9 5 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1987 6 1 3 2 33 0 0 0 0 0 0 0 0 0 0 0 0 4 29 35 26 22 7 8 10 15 27 27 26 25 17 17 8 5 1 5 0 2 2 0 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 19 44 39 46 47 27 24 37 38 10 7 14 6 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1988 6 1 3 2 31 0 0 0 0 0 0 0 0 0 0 0 0 8 47 35 15 5 6 6 14 23 26 21 27 20 18 9 3 8 2 9 1 1 3 1 1 3 2 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 27 44 27 10 13 15 28 18 11 7 10 6 7 6 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1989 6 1 3 2 25 0 0 0 0 0 0 0 0 0 0 0 0 3 37 34 11 4 3 6 13 22 18 31 39 30 14 7 7 8 2 2 2 2 1 2 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 38 42 20 11 6 23 32 31 7 3 4 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1990 6 1 3 2 19 0 0 0 0 0 0 0 0 0 0 0 0 5 31 24 12 1 4 3 4 11 13 9 19 13 16 12 2 2 1 4 4 3 2 2 2 0 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3 47 47 51 49 19 20 25 15 11 12 6 4 2 4 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1991 6 1 3 2 41 0 0 0 0 0 0 0 0 0 0 0 0 0 8 3 3 1 14 46 63 43 43 26 15 5 1 2 2 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 14 4 7 26 80 74 33 11 6 2 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1992 6 1 3 2 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 19 21 45 45 34 9 3 1 2 4 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 29 42 41 22 3 2 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1993 6 1 3 2 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 33 74 89 41 14 7 2 0 1 0 1 2 1 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 29 55 33 21 6 3 1 1 0 0 1 1 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1994 6 1 3 2 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 11 44 71 82 29 9 3 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 4 41 62 60 20 5 5 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1995 6 1 3 2 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 16 31 37 28 11 2 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 16 48 47 24 5 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1996 6 1 3 2 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 10 6 24 63 75 52 27 5 3 1 1 1 0 2 0 0 1 0 0 0 0 1 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 14 18 35 82 73 41 22 6 3 1 0 2 3 1 1 1 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1997 6 1 3 2 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 14 23 34 60 85 142 100 69 24 10 4 2 1 0 0 2 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 35 35 53 88 124 102 38 8 3 2 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1998 6 1 3 2 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 16 23 47 55 49 47 43 28 6 2 2 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 28 31 41 48 36 51 27 23 7 1 2 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1999 6 1 3 2 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 7 17 25 49 50 31 20 7 2 3 1 1 1 0 0 1 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 12 11 32 41 35 12 11 3 2 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 2000 6 1 3 2 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 27 42 96 84 73 34 30 9 8 4 5 3 1 3 0 0 0 0 0 0 1 2 0 1 0 0 2 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 20 39 64 83 71 49 30 6 6 8 3 2 1 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2001 6 1 3 2 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 19 46 72 73 84 70 58 30 12 5 1 3 7 2 1 1 1 2 1 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 43 60 83 70 40 40 26 14 6 1 0 1 0 0 2 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2002 6 1 3 2 76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 8 17 39 44 77 89 67 48 44 24 8 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for no forced accumulation #_Comp_Error: 0=multinomial, 1=dirichlet #_Comp_Error2: parm number for dirichlet #_minsamplesize: minimum sample size; set to 1 to match 3.24, minimum value is 0.001 #MinTailComp AddedConstant CombineMF CompressBins ErrorDist DirichletParSelect MinSampleSize 0 0.0001 0 0 0 0 1 #ARcomm 0 0.0001 0 0 0 0 1 #ASrec 0 0.0001 0 0 0 0 1 #RRrec 0 0.0001 0 0 0 0 1 #P100juv 0 0.0001 0 0 0 0 1 #P135fw 0 0.0001 0 0 0 0 1 #P135spr 0 0.0001 0 0 0 0 1 #RRef 3 #_Lbin_method_for_Age_Data: 1=poplenbins; 2=datalenbins; 3=lengths # sex codes: 0=combined; 1=use female only; 2=use male only; 3=use both as joint sexxlength distribution # partition codes: (0=combined; 1=discard; 2=retained) #Year Month Fleet Sex Partition AgeErr LbinLo LbinHi Nsamp 1 2 3 4 5 6 7 8 9 10 1982 6 1 1 2 1 24 24 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1982 6 1 1 2 1 26 26 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1982 6 1 1 2 1 32 32 2 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1982 6 1 1 2 1 34 34 9 0 0 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66 66 12 0 0 0 0 0 8 6 1 2 0 0 0 0 0 0 8 6 1 2 0 1982 6 1 1 2 1 68 68 8 0 0 0 0 1 2 7 2 1 0 0 0 0 0 1 2 7 2 1 0 1982 6 1 1 2 1 70 70 7 0 0 0 0 0 3 8 0 0 0 0 0 0 0 0 3 8 0 0 0 1982 6 1 1 2 1 72 72 4 0 0 0 0 0 1 3 1 0 0 0 0 0 0 0 1 3 1 0 0 1982 6 1 1 2 1 74 74 6 0 0 0 0 0 0 2 2 2 1 0 0 0 0 0 0 2 2 2 1 1982 6 1 1 2 1 76 76 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1982 6 1 1 2 1 78 78 5 0 0 0 0 0 0 2 1 0 2 0 0 0 0 0 0 2 1 0 2 1982 6 1 1 2 1 82 82 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1983 6 1 1 2 1 28 28 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1983 6 1 1 2 1 30 30 6 0 16 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 1983 6 1 1 2 1 32 32 3 0 10 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 1983 6 1 1 2 1 34 34 5 0 3 3 0 0 0 0 0 0 0 0 3 3 0 0 0 0 0 0 0 1983 6 1 1 2 1 36 36 7 0 10 2 0 0 0 0 0 0 0 0 10 2 0 0 0 0 0 0 0 1983 6 1 1 2 1 38 38 7 0 7 3 1 0 0 0 0 0 0 0 7 3 1 0 0 0 0 0 0 1983 6 1 1 2 1 40 40 4 0 3 2 1 0 0 0 0 0 0 0 3 2 1 0 0 0 0 0 0 1983 6 1 1 2 1 42 42 4 0 0 4 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 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ageerr ignore datavector(female-male) # samplesize(female-male) #-9999 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 #!!END MEAN LENGTH OR BODY WEIGHT-AT-AGE!! #ENVIRONMENTAL DATA 0 #_N_environ_variables #Yr Variable Value # -9999 0 0 # terminator for environmental data #!!END ENVIRONMENTAL DATA!! #GENERALIZED SIZE COMPOSITION DATA 0 # N sizefreq methods to read # #!!END GENERALIZED SIZE COMPOSITION DATA!! #TAG-RECAPTURE DTA 0 # do tags (0/1) # #!!END TAG-RECAPTURE DATA!! #STOCK COMPOSITION DATA 0 # morphcomp data(0/1) # Nobs, Nmorphs, mincomp # yr, seas, type, partition, Nsamp, datavector_by_Nmorphs # #!!END STOCK COMPOSITION DATA!! #SELECTIVITY EMPIRICAL DATA 0 # Do dataread for selectivity priors(0/1) # Yr, Seas, Fleet, Age/Size, Bin, selex_prior, prior_sd # feature not yet implemented #!!END SELECTIVITY EMPIRICAL DATA!! 999 ENDDATA