#V3.30.17.01;_2021_06_15;_safe;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_12.3 #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.noaa.gov/group/stock-synthesis #C Data file for striped mullet stock assessment 2021 #C Base run #_observed data: #MODEL DIMENSIONS 1994 #_StartYr 2019 #_EndYr 1 #_Nseas 12 #_months/season 2 #_N_subseasons(even number, minimum is 2) 1 #_spawn_month 2 #_Ngenders 14 #_Nages 1 #_N_areas 5 #_Nfleets (including surveys) #!!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 Comm #1 3 3 1 2 0 P146_spring #2 3 11 1 2 0 P146_autumn #3 3 10 1 2 0 P915_south #4 3 10 1 2 0 P915_north #5 #3 6 1 2 0 P135 #6 #3 6 1 2 0 Bridgenet #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 1 218.9 0.02 #initial equilibrium catch (0.5 * Min) 1994 1 1 783.0 0.02 # Comm_1994 1995 1 1 1043 0.01 # Comm_1995 1996 1 1 796.9 0.01 # Comm_1996 1997 1 1 1108 0.01 # Comm_1997 1998 1 1 1006 0.01 # Comm_1998 1999 1 1 662.6 0.01 # Comm_1999 2000 1 1 1283 0.01 # Comm_2000 2001 1 1 1051 0.01 # Comm_2001 2002 1 1 1178 0.01 # Comm_2002 2003 1 1 739.1 0.01 # Comm_2003 2004 1 1 725.1 0.01 # Comm_2004 2005 1 1 735.0 0.01 # Comm_2005 2006 1 1 784.1 0.01 # Comm_2006 2007 1 1 757.0 0.01 # Comm_2007 2008 1 1 760.2 0.01 # Comm_2008 2009 1 1 764.6 0.01 # Comm_2009 2010 1 1 944.8 0.01 # Comm_2010 2011 1 1 738.4 0.01 # Comm_2011 2012 1 1 843.5 0.01 # Comm_2012 2013 1 1 702.7 0.01 # Comm_2013 2014 1 1 829.3 0.01 # Comm_2014 2015 1 1 565.7 0.01 # Comm_2015 2016 1 1 437.9 0.01 # Comm_2016 2017 1 1 619.8 0.01 # Comm_2017 2018 1 1 595.2 0.01 # Comm_2018 2019 1 1 617.9 0.01 # Comm_2019 -9999 0 0 0 0 #terminator #!!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 0 0 0 # Comm 2 1 0 0 # P146_spring 3 1 0 0 # P146_autumn 4 1 0 0 # P915_south 5 1 0 0 # P915_north #6 0 0 0 # P135 #7 33 0 0 # Bridgenet #Year Month Fleet/Survey Observation SE Comment 2003 3 2 31.0 0.457 # P146_spring 2004 3 2 40.7 0.265 # P146_spring 2005 3 2 283 0.0398 # P146_spring 2006 3 2 268 0.0419 # P146_spring 2007 3 2 126 0.0947 # P146_spring 2008 3 2 237 0.0460 # P146_spring 2009 3 2 163 0.0688 # P146_spring 2010 3 2 53.3 0.223 # P146_spring 2011 3 2 266 0.0401 # P146_spring 2012 3 2 25.5 0.420 # P146_spring 2013 3 2 147 0.0726 # P146_spring 2014 3 2 148 0.0719 # P146_spring 2015 3 2 71.7 0.148 # P146_spring 2016 3 2 24.2 0.455 # P146_spring 2017 3 2 34.5 0.310 # P146_spring 2018 3 2 111 0.0962 # P146_spring 2019 3 2 19.5 0.549 # P146_spring 2003 11 3 28.1 0.0393 # P146_autumn 2004 11 3 41.1 0.0268 # P146_autumn 2005 11 3 3.95 0.417 # P146_autumn 2006 11 3 10.3 0.234 # P146_autumn 2008 11 3 19.3 0.0582 # P146_autumn 2009 11 3 23.3 0.0473 # P146_autumn 2010 11 3 19.4 0.0570 # P146_autumn 2011 11 3 20.0 0.0551 # P146_autumn 2012 11 3 19.6 0.0563 # P146_autumn 2013 11 3 26.6 0.0415 # P146_autumn 2014 11 3 13.5 0.0819 # P146_autumn 2015 11 3 9.92 0.112 # P146_autumn 2016 11 3 5.01 0.222 # P146_autumn 2017 11 3 15.5 0.0713 # P146_autumn 2018 11 3 0.657 1.64 # P146_autumn 2019 11 3 28.2 0.0391 # P146_autumn 2008 10 4 8.14 0.200 # P915_south 2009 10 4 4.62 0.200 # P915_south 2010 10 4 8.54 0.200 # P915_south 2011 10 4 4.33 0.200 # P915_south 2012 10 4 4.39 0.200 # P915_south 2013 10 4 4.14 0.200 # P915_south 2014 10 4 8.77 0.200 # P915_south 2015 10 4 2.15 0.200 # P915_south 2016 10 4 6.52 0.200 # P915_south 2017 10 4 2.54 0.200 # P915_south 2018 10 4 2.78 0.200 # P915_south 2019 10 4 1.04 0.201 # P915_south 2004 10 5 4.75 0.200 # P915_north 2005 10 5 3.09 0.200 # P915_north 2006 10 5 2.93 0.200 # P915_north 2007 10 5 8.47 0.200 # P915_north 2008 10 5 3.62 0.200 # P915_north 2009 10 5 4.58 0.200 # P915_north 2010 10 5 6.52 0.200 # P915_north 2011 10 5 6.17 0.200 # P915_north 2012 10 5 6.63 0.200 # P915_north 2013 10 5 6.38 0.200 # P915_north 2014 10 5 5.76 0.200 # P915_north 2015 10 5 2.33 0.200 # P915_north 2016 10 5 1.99 0.200 # P915_north 2017 10 5 2.99 0.200 # P915_north 2018 10 5 3.75 0.200 # P915_north 2019 10 5 3.28 0.200 # P915_north -9999 1 1 1 1 #terminator #!!END INDICES!! #DISCARD 0 #_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 #Year Month Fleet Observation StandardError #-9999 0 0 0 0 #terminator #!!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) 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 -10 0.0001 0 0 0 0 1 #Comm -10 0.0001 0 0 0 0 1 #P146_spring -10 0.0001 0 0 0 0 1 #P146_autumn -10 0.0001 0 0 0 0 1 #P915_south -10 0.0001 0 0 0 0 1 #P915_north #-10 0.0001 0 0 0 0 1 #P135 #-10 0.0001 0 0 0 0 1 #Bridgenet #!!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) 24 #_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 #Year Month Fleet Sex Part Nsamp 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 1990 6 1 0 0 3.6 0 1 1 1 1 1 0 2 5 7 0 0 5 12 24 17 15 4 2 4 0 0 0 0 0 1 1 1 1 1 0 2 5 7 0 0 5 12 24 17 15 4 2 4 0 0 0 0 1991 6 1 0 0 5.5 0 0 0 0 0 3 3 13 21 30 77 86 46 47 42 46 43 40 17 6 1 3 1 1 0 0 0 0 0 3 3 13 21 30 77 86 46 47 42 46 43 40 17 6 1 3 1 1 1992 6 1 0 0 5.4 0 0 0 1 0 0 1 1 17 17 18 15 18 27 58 54 34 15 14 12 3 5 0 0 0 0 0 1 0 0 1 1 17 17 18 15 18 27 58 54 34 15 14 12 3 5 0 0 1993 6 1 0 0 4.5 0 1 0 0 0 0 1 0 6 23 49 75 68 58 50 27 12 6 4 1 0 0 1 1 0 1 0 0 0 0 1 0 6 23 49 75 68 58 50 27 12 6 4 1 0 0 1 1 1994 6 1 0 0 3.2 0 0 1 0 0 0 0 0 7 33 57 27 12 10 16 11 11 9 3 1 0 0 0 0 0 0 1 0 0 0 0 0 7 33 57 27 12 10 16 11 11 9 3 1 0 0 0 0 1995 6 1 0 0 5.1 0 0 0 0 0 0 2 3 8 14 30 43 22 17 15 17 13 10 12 10 4 6 1 0 0 0 0 0 0 0 2 3 8 14 30 43 22 17 15 17 13 10 12 10 4 6 1 0 1996 6 1 0 0 4.0 0 0 0 0 0 0 0 1 3 13 13 13 16 10 8 3 5 2 2 0 0 0 0 0 0 0 0 0 0 0 0 1 3 13 13 13 16 10 8 3 5 2 2 0 0 0 0 0 1997 6 1 0 0 7.5 0 0 0 0 0 1 1 7 81 266 299 224 183 125 96 37 23 13 5 4 1 0 0 1 0 0 0 0 0 1 1 7 81 266 299 224 183 125 96 37 23 13 5 4 1 0 0 1 1998 6 1 0 0 7.5 0 0 0 0 0 1 17 25 57 165 231 222 186 135 82 38 14 7 2 1 0 1 0 2 0 0 0 0 0 1 17 25 57 165 231 222 186 135 82 38 14 7 2 1 0 1 0 2 1999 6 1 0 0 7.9 0 0 0 2 0 6 18 32 88 171 152 137 124 181 151 98 62 35 9 4 4 2 3 4 0 0 0 2 0 6 18 32 88 171 152 137 124 181 151 98 62 35 9 4 4 2 3 4 2000 6 1 0 0 11 0 0 1 0 1 5 12 27 172 375 618 895 945 712 472 308 158 81 38 28 9 4 1 4 0 0 1 0 1 5 12 27 172 375 618 895 945 712 472 308 158 81 38 28 9 4 1 4 2001 6 1 0 0 10 0 0 0 0 0 5 13 11 40 158 285 456 722 789 613 321 112 35 17 8 5 1 0 0 0 0 0 0 0 5 13 11 40 158 285 456 722 789 613 321 112 35 17 8 5 1 0 0 2002 6 1 0 0 13 11 9 18 35 110 141 73 78 216 373 537 930 1173 971 655 405 231 96 48 15 3 2 1 0 11 9 18 35 110 141 73 78 216 373 537 930 1173 971 655 405 231 96 48 15 3 2 1 0 2003 6 1 0 0 12 127 9 2 3 4 4 14 68 303 536 524 501 692 661 449 247 131 78 40 17 17 7 3 1 127 9 2 3 4 4 14 68 303 536 524 501 692 661 449 247 131 78 40 17 17 7 3 1 2004 6 1 0 0 14 0 0 0 0 1 3 5 119 576 919 1021 1066 1020 862 623 404 244 126 73 26 20 2 4 3 0 0 0 0 1 3 5 119 576 919 1021 1066 1020 862 623 404 244 126 73 26 20 2 4 3 2005 6 1 0 0 12 0 0 0 0 1 15 18 97 327 557 625 791 894 865 617 406 190 104 52 31 26 10 7 3 0 0 0 0 1 15 18 97 327 557 625 791 894 865 617 406 190 104 52 31 26 10 7 3 2006 6 1 0 0 14 0 0 0 0 1 6 9 120 298 605 797 1096 1150 1004 836 609 346 175 83 44 11 6 1 2 0 0 0 0 1 6 9 120 298 605 797 1096 1150 1004 836 609 346 175 83 44 11 6 1 2 2007 6 1 0 0 16 0 0 0 0 2 5 22 99 351 678 948 1170 1198 1061 767 484 278 135 63 34 19 15 4 7 0 0 0 0 2 5 22 99 351 678 948 1170 1198 1061 767 484 278 135 63 34 19 15 4 7 2008 6 1 0 0 16 0 0 0 0 0 3 13 90 265 455 735 1039 1349 1556 1255 742 426 199 120 51 25 9 7 2 0 0 0 0 0 3 13 90 265 455 735 1039 1349 1556 1255 742 426 199 120 51 25 9 7 2 2009 6 1 0 0 14 0 0 0 0 0 2 7 51 263 527 521 543 684 893 805 643 381 190 91 56 16 12 7 1 0 0 0 0 0 2 7 51 263 527 521 543 684 893 805 643 381 190 91 56 16 12 7 1 2010 6 1 0 0 15 0 0 0 0 0 2 3 42 259 561 814 1062 1269 1220 1010 640 386 173 59 23 21 13 3 1 0 0 0 0 0 2 3 42 259 561 814 1062 1269 1220 1010 640 386 173 59 23 21 13 3 1 2011 6 1 0 0 14 0 0 0 3 5 6 6 47 279 463 506 609 841 801 665 507 292 157 73 41 19 10 7 2 0 0 0 3 5 6 6 47 279 463 506 609 841 801 665 507 292 157 73 41 19 10 7 2 2012 6 1 0 0 16 0 0 0 0 0 2 8 68 265 484 782 1200 1584 1657 1315 705 387 200 74 27 20 14 3 1 0 0 0 0 0 2 8 68 265 484 782 1200 1584 1657 1315 705 387 200 74 27 20 14 3 1 2013 6 1 0 0 15 0 0 0 0 0 4 12 47 185 463 611 828 1060 1063 841 514 344 203 119 79 50 31 26 8 0 0 0 0 0 4 12 47 185 463 611 828 1060 1063 841 514 344 203 119 79 50 31 26 8 2014 6 1 0 0 14 0 0 0 0 1 2 22 89 334 503 561 678 839 806 618 403 237 139 81 28 22 11 8 8 0 0 0 0 1 2 22 89 334 503 561 678 839 806 618 403 237 139 81 28 22 11 8 8 2015 6 1 0 0 14 0 0 0 0 0 6 35 115 192 262 302 454 944 1130 1016 520 230 97 42 9 9 5 3 2 0 0 0 0 0 6 35 115 192 262 302 454 944 1130 1016 520 230 97 42 9 9 5 3 2 2016 6 1 0 0 14 1 0 0 0 0 0 3 37 169 295 426 510 830 1057 929 568 291 151 61 35 14 6 1 4 1 0 0 0 0 0 3 37 169 295 426 510 830 1057 929 568 291 151 61 35 14 6 1 4 2017 6 1 0 0 13 0 0 0 0 1 1 25 49 77 232 338 484 764 787 637 355 207 77 46 27 7 2 0 3 0 0 0 0 1 1 25 49 77 232 338 484 764 787 637 355 207 77 46 27 7 2 0 3 2018 6 1 0 0 11 0 0 0 0 0 1 3 22 72 168 266 398 536 595 620 412 220 99 51 17 2 5 1 1 0 0 0 0 0 1 3 22 72 168 266 398 536 595 620 412 220 99 51 17 2 5 1 1 2019 6 1 0 0 12 0 0 0 0 0 0 16 73 84 208 219 377 771 945 888 575 299 146 83 37 23 5 3 6 0 0 0 0 0 0 16 73 84 208 219 377 771 945 888 575 299 146 83 37 23 5 3 6 2003 3 2 0 0 3.5 7 5 7 1 0 1 2 12 54 88 96 67 43 19 3 2 1 2 1 1 0 0 1 0 7 5 7 1 0 1 2 12 54 88 96 67 43 19 3 2 1 2 1 1 0 0 1 0 2004 3 2 0 0 4.5 0 0 0 0 2 3 2 6 47 135 159 138 128 76 36 21 13 6 1 1 1 0 1 0 0 0 0 0 2 3 2 6 47 135 159 138 128 76 36 21 13 6 1 1 1 0 1 0 2005 3 2 0 0 4.4 0 2 10 16 29 39 75 183 256 255 163 154 130 76 36 24 6 5 2 1 0 0 0 0 0 2 10 16 29 39 75 183 256 255 163 154 130 76 36 24 6 5 2 1 0 0 0 0 2006 3 2 0 0 4.6 0 0 1 0 3 33 94 155 233 266 215 202 198 115 61 35 11 10 2 1 1 0 0 0 0 0 1 0 3 33 94 155 233 266 215 202 198 115 61 35 11 10 2 1 1 0 0 0 2007 3 2 0 0 4.2 0 0 0 0 0 2 3 31 118 192 206 154 113 74 30 15 9 8 2 0 0 0 0 0 0 0 0 0 0 2 3 31 118 192 206 154 113 74 30 15 9 8 2 0 0 0 0 0 2008 3 2 0 0 4.9 0 1 7 31 58 81 115 135 240 246 193 197 174 128 54 32 12 11 2 0 1 0 1 0 0 1 7 31 58 81 115 135 240 246 193 197 174 128 54 32 12 11 2 0 1 0 1 0 2009 3 2 0 0 4.4 0 2 7 27 46 56 69 68 126 128 120 129 136 123 66 20 16 5 5 1 0 0 0 0 0 2 7 27 46 56 69 68 126 128 120 129 136 123 66 20 16 5 5 1 0 0 0 0 2010 3 2 0 0 4.7 0 0 2 2 17 20 46 84 128 147 114 99 80 57 29 22 7 6 1 2 0 1 0 0 0 0 2 2 17 20 46 84 128 147 114 99 80 57 29 22 7 6 1 2 0 1 0 0 2011 3 2 0 0 4.5 0 1 1 5 31 71 82 147 195 175 132 156 177 132 62 38 19 12 7 7 1 1 0 0 0 1 1 5 31 71 82 147 195 175 132 156 177 132 62 38 19 12 7 7 1 1 0 0 2012 3 2 0 0 4.1 0 0 2 11 16 22 19 74 94 68 66 34 22 17 5 4 0 0 0 0 0 0 0 0 0 0 2 11 16 22 19 74 94 68 66 34 22 17 5 4 0 0 0 0 0 0 0 0 2013 3 2 0 0 4.7 0 7 25 58 78 101 108 150 217 213 148 105 62 45 28 12 6 2 2 1 0 0 0 0 0 7 25 58 78 101 108 150 217 213 148 105 62 45 28 12 6 2 2 1 0 0 0 0 2014 3 2 0 0 4.4 0 1 0 2 16 22 50 143 211 174 105 46 36 15 6 2 0 0 0 0 0 0 0 0 0 1 0 2 16 22 50 143 211 174 105 46 36 15 6 2 0 0 0 0 0 0 0 0 2015 3 2 0 0 3.6 0 0 0 1 5 9 19 39 94 145 107 85 59 28 9 5 1 0 0 0 0 0 0 0 0 0 0 1 5 9 19 39 94 145 107 85 59 28 9 5 1 0 0 0 0 0 0 0 2016 3 2 0 0 4.0 0 0 0 0 0 2 2 13 26 114 227 180 89 39 8 9 1 0 0 0 0 0 0 0 0 0 0 0 0 2 2 13 26 114 227 180 89 39 8 9 1 0 0 0 0 0 0 0 2017 3 2 0 0 4.7 0 0 0 0 1 2 10 33 44 99 152 113 54 36 11 3 2 2 0 0 0 0 0 0 0 0 0 0 1 2 10 33 44 99 152 113 54 36 11 3 2 2 0 0 0 0 0 0 2018 3 2 0 0 4.6 0 1 1 1 5 6 13 40 93 182 217 206 129 74 24 12 3 1 2 0 0 0 0 0 0 1 1 1 5 6 13 40 93 182 217 206 129 74 24 12 3 1 2 0 0 0 0 0 2019 3 2 0 0 4.5 0 0 0 0 1 2 1 0 15 80 134 90 81 34 12 1 0 0 0 1 0 0 0 0 0 0 0 0 1 2 1 0 15 80 134 90 81 34 12 1 0 0 0 1 0 0 0 0 2003 11 3 0 0 3.9 0 0 0 0 10 20 22 29 94 156 124 81 29 9 3 2 1 0 0 0 0 0 0 0 0 0 0 0 10 20 22 29 94 156 124 81 29 9 3 2 1 0 0 0 0 0 0 0 2004 11 3 0 0 4.2 0 0 0 0 1 4 29 88 168 203 132 113 83 31 13 5 8 2 0 1 0 0 0 0 0 0 0 0 1 4 29 88 168 203 132 113 83 31 13 5 8 2 0 1 0 0 0 0 2005 11 3 0 0 2.2 0 0 0 0 0 0 0 0 8 11 6 15 12 3 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 11 6 15 12 3 1 1 0 0 0 0 0 0 0 0 2006 11 3 0 0 1.4 0 0 0 0 0 0 0 1 4 12 9 7 10 7 10 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 12 9 7 10 7 10 0 1 0 0 0 0 0 0 0 2008 11 3 0 0 3.7 0 0 0 0 17 21 23 28 53 75 72 81 88 81 56 23 10 1 3 2 0 1 0 0 0 0 0 0 17 21 23 28 53 75 72 81 88 81 56 23 10 1 3 2 0 1 0 0 2009 11 3 0 0 3.9 0 0 0 0 10 15 27 49 74 81 74 55 33 23 27 11 7 5 2 0 1 0 0 0 0 0 0 0 10 15 27 49 74 81 74 55 33 23 27 11 7 5 2 0 1 0 0 0 2010 11 3 0 0 3.6 0 0 0 0 2 15 16 54 88 74 63 84 88 66 23 11 9 2 3 3 0 0 0 0 0 0 0 0 2 15 16 54 88 74 63 84 88 66 23 11 9 2 3 3 0 0 0 0 2011 11 3 0 0 3.9 0 0 0 0 20 27 52 92 79 82 58 41 34 18 8 7 2 0 0 0 0 0 0 0 0 0 0 0 20 27 52 92 79 82 58 41 34 18 8 7 2 0 0 0 0 0 0 0 2012 11 3 0 0 3.7 0 0 0 0 17 35 45 92 122 109 65 46 41 35 29 12 5 1 1 0 1 0 0 0 0 0 0 0 17 35 45 92 122 109 65 46 41 35 29 12 5 1 1 0 1 0 0 0 2013 11 3 0 0 3.6 0 0 0 0 17 27 33 77 117 92 63 54 58 44 25 10 4 2 2 0 0 0 2 0 0 0 0 0 17 27 33 77 117 92 63 54 58 44 25 10 4 2 2 0 0 0 2 0 2014 11 3 0 0 3.7 0 0 0 0 0 7 10 17 50 88 82 74 53 26 17 4 3 1 1 2 0 0 0 0 0 0 0 0 0 7 10 17 50 88 82 74 53 26 17 4 3 1 1 2 0 0 0 0 2015 11 3 0 0 3.6 0 0 0 0 0 0 1 8 25 68 78 55 50 21 14 4 2 0 1 0 0 0 1 0 0 0 0 0 0 0 1 8 25 68 78 55 50 21 14 4 2 0 1 0 0 0 1 0 2016 11 3 0 0 2.8 0 0 0 0 0 0 0 2 3 23 46 48 20 7 5 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 23 46 48 20 7 5 4 0 0 0 0 0 0 0 0 2017 11 3 0 0 3.7 0 0 0 0 0 0 9 37 57 103 103 79 50 14 8 3 6 0 1 0 0 0 0 0 0 0 0 0 0 0 9 37 57 103 103 79 50 14 8 3 6 0 1 0 0 0 0 0 2018 11 3 0 0 2.0 0 0 0 0 0 0 0 0 6 11 2 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 11 2 0 1 0 1 0 0 0 0 0 0 0 0 0 2019 11 3 0 0 4.1 0 0 0 0 2 10 36 82 144 151 111 69 67 39 26 11 8 7 3 0 3 0 0 0 0 0 0 0 2 10 36 82 144 151 111 69 67 39 26 11 8 7 3 0 3 0 0 0 2008 10 4 0 0 13 0 0 0 0 0 0 0 0 4 34 30 25 24 19 10 10 7 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 34 30 25 24 19 10 10 7 4 0 0 0 0 0 0 2009 10 4 0 0 12 0 0 0 0 0 0 2 0 3 12 22 13 24 27 11 7 12 1 0 0 0 0 0 0 0 0 0 0 0 0 2 0 3 12 22 13 24 27 11 7 12 1 0 0 0 0 0 0 2010 10 4 0 0 13 0 0 0 0 0 0 0 0 3 29 58 62 69 64 34 14 11 8 2 1 0 0 1 0 0 0 0 0 0 0 0 0 3 29 58 62 69 64 34 14 11 8 2 1 0 0 1 0 2011 10 4 0 0 12 0 0 0 0 0 0 0 0 3 14 21 10 17 8 5 5 4 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 3 14 21 10 17 8 5 5 4 1 0 1 1 1 0 0 2012 10 4 0 0 9.5 0 0 0 0 0 0 1 0 5 7 21 14 15 19 5 5 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 5 7 21 14 15 19 5 5 2 1 0 0 0 0 0 0 2013 10 4 0 0 9.5 0 0 0 0 0 0 0 0 1 14 34 28 10 9 6 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 14 34 28 10 9 6 3 0 0 0 0 0 0 0 0 2014 10 4 0 0 9.5 0 0 0 0 0 0 0 0 6 17 43 38 37 23 32 15 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 17 43 38 37 23 32 15 3 1 0 0 0 0 0 0 2015 10 4 0 0 8.7 0 0 0 0 0 0 0 0 4 17 10 11 11 12 5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 17 10 11 11 12 5 5 2 0 0 0 0 0 0 0 2016 10 4 0 0 7.9 0 0 0 0 0 0 3 1 5 25 22 31 33 21 7 4 3 1 0 0 0 0 0 0 0 0 0 0 0 0 3 1 5 25 22 31 33 21 7 4 3 1 0 0 0 0 0 0 2017 10 4 0 0 7.9 0 0 0 0 0 0 2 0 1 21 13 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 1 21 13 14 2 0 0 0 0 0 0 0 0 0 0 0 2018 10 4 0 0 7.8 0 0 0 0 0 0 0 3 5 14 7 6 6 4 3 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 5 14 7 6 6 4 3 1 1 0 0 0 0 0 0 0 2019 10 4 0 0 8.2 0 0 0 0 0 0 0 1 3 6 2 3 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 6 2 3 5 1 0 0 0 0 0 0 0 0 0 0 2004 10 5 0 0 12 0 0 0 0 0 1 3 5 42 140 174 120 134 93 63 21 16 6 4 0 2 0 0 0 0 0 0 0 0 1 3 5 42 140 174 120 134 93 63 21 16 6 4 0 2 0 0 0 2005 10 5 0 0 11 0 0 0 0 0 0 1 3 21 92 156 109 76 55 32 13 8 0 1 1 2 1 3 0 0 0 0 0 0 0 1 3 21 92 156 109 76 55 32 13 8 0 1 1 2 1 3 0 2006 10 5 0 0 10 0 0 0 0 0 0 2 5 34 118 124 89 74 42 36 15 7 6 4 0 2 1 0 0 0 0 0 0 0 0 2 5 34 118 124 89 74 42 36 15 7 6 4 0 2 1 0 0 2007 10 5 0 0 12 0 0 0 0 0 3 2 2 7 78 170 175 148 97 60 22 16 6 3 1 1 0 0 0 0 0 0 0 0 3 2 2 7 78 170 175 148 97 60 22 16 6 3 1 1 0 0 0 2008 10 5 0 0 13 0 0 0 0 1 0 0 1 4 43 65 87 107 87 45 33 21 12 8 3 1 3 0 0 0 0 0 0 1 0 0 1 4 43 65 87 107 87 45 33 21 12 8 3 1 3 0 0 2009 10 5 0 0 12 0 0 0 0 1 0 1 2 12 60 108 115 83 78 57 41 25 15 9 2 4 3 3 0 0 0 0 0 1 0 1 2 12 60 108 115 83 78 57 41 25 15 9 2 4 3 3 0 2010 10 5 0 0 13 0 0 0 0 1 0 2 3 16 97 127 169 137 121 79 29 31 24 5 7 3 1 2 0 0 0 0 0 1 0 2 3 16 97 127 169 137 121 79 29 31 24 5 7 3 1 2 0 2011 10 5 0 0 12 0 0 0 0 0 0 0 0 20 135 193 192 135 96 61 29 13 10 4 4 4 0 2 0 0 0 0 0 0 0 0 0 20 135 193 192 135 96 61 29 13 10 4 4 4 0 2 0 2012 10 5 0 0 9.5 0 0 0 0 0 0 0 3 31 163 177 144 119 76 51 20 9 6 3 1 0 0 0 0 0 0 0 0 0 0 0 3 31 163 177 144 119 76 51 20 9 6 3 1 0 0 0 0 2013 10 5 0 0 9.5 0 0 0 0 0 0 1 2 28 150 157 166 139 74 34 11 5 4 3 5 4 1 0 0 0 0 0 0 0 0 1 2 28 150 157 166 139 74 34 11 5 4 3 5 4 1 0 0 2014 10 5 0 0 9.5 0 0 0 0 0 0 1 0 20 143 189 154 93 60 34 21 10 9 1 2 1 0 2 0 0 0 0 0 0 0 1 0 20 143 189 154 93 60 34 21 10 9 1 2 1 0 2 0 2015 10 5 0 0 8.7 0 0 0 0 0 0 0 1 7 40 45 29 37 46 29 18 8 8 1 1 0 2 0 0 0 0 0 0 0 0 0 1 7 40 45 29 37 46 29 18 8 8 1 1 0 2 0 0 2016 10 5 0 0 7.9 0 0 0 0 0 0 2 0 2 17 56 62 65 29 25 21 14 3 4 3 2 0 2 0 0 0 0 0 0 0 2 0 2 17 56 62 65 29 25 21 14 3 4 3 2 0 2 0 2017 10 5 0 0 7.9 0 0 0 0 0 1 2 2 13 55 63 57 53 18 15 15 9 13 4 0 0 1 0 0 0 0 0 0 0 1 2 2 13 55 63 57 53 18 15 15 9 13 4 0 0 1 0 0 2018 10 5 0 0 7.8 0 0 0 0 0 1 1 2 10 76 65 84 78 41 28 23 24 14 9 11 4 4 2 0 0 0 0 0 0 1 1 2 10 76 65 84 78 41 28 23 24 14 9 11 4 4 2 0 2019 10 5 0 0 8.2 0 0 0 0 0 1 0 1 17 69 44 57 35 27 28 17 17 18 4 9 2 1 0 0 0 0 0 0 0 1 0 1 17 69 44 57 35 27 28 17 17 18 4 9 2 1 0 0 -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 # #!!END LENGTH COMPOSITION DATA!! #AGE COMPOSITION OPTION OR CONDITIONAL AGE-AT-LENGTH OPTION 8 #_N_age_bins 0 1 2 3 4 5 6 7 1 #_N_ageerror_definitions #Age0 Age1 Age2 Age3 Age4 Age5 Age6 Age7 Age8 Age9 Age10 Age11 Age12 Age13 Age14 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 #_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 ErrorDist DirichletParSelect MinSampleSize -10 0.0001 0 0 0 0 1 #Comm -10 0.0001 0 0 0 0 1 #P146_spring -10 0.0001 0 0 0 0 1 #P146_autumn -10 0.0001 0 0 0 0 1 #P915_south -10 0.0001 0 0 0 0 1 #P915_north #-10 0.0001 0 0 0 0 1 #P135 #-10 0.0001 0 0 0 0 1 #Bridgenet 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 Part AgeErr LbinLo LbinHi Nsamp 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 1996 6 1 1 0 1 20 20 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1996 6 1 1 0 1 24 24 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1996 6 1 1 0 1 26 26 1.0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 1996 6 1 1 0 1 28 28 1.7 0 9 0 0 0 0 0 0 0 9 0 0 0 0 0 0 1996 6 1 1 0 1 30 30 2.4 0 10 3 0 0 0 0 0 0 10 3 0 0 0 0 0 1996 6 1 1 0 1 32 32 3.0 0 14 6 1 0 0 0 0 0 14 6 1 0 0 0 0 1996 6 1 1 0 1 34 34 2.2 0 3 4 1 0 0 0 0 0 3 4 1 0 0 0 0 1996 6 1 1 0 1 36 36 2.0 0 2 8 0 0 0 0 0 0 2 8 0 0 0 0 0 1996 6 1 1 0 1 38 38 2.6 0 6 5 2 0 0 0 0 0 6 5 2 0 0 0 0 1996 6 1 1 0 1 40 40 1.4 0 0 2 0 1 0 0 0 0 0 2 0 1 0 0 0 1996 6 1 1 0 1 42 42 2.0 0 0 7 1 0 0 0 0 0 0 7 1 0 0 0 0 1996 6 1 1 0 1 44 44 1.4 0 0 1 3 0 0 0 0 0 0 1 3 0 0 0 0 1996 6 1 1 0 1 46 46 2.0 0 0 2 2 0 1 1 0 0 0 2 2 0 1 1 0 1996 6 1 1 0 1 48 48 1.4 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1996 6 1 1 0 1 50 50 1.4 0 0 0 2 2 0 0 0 0 0 0 2 2 0 0 0 1996 6 1 1 0 1 52 52 1.0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1996 6 1 1 0 1 54 54 1.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1996 6 1 1 0 1 56 56 1.0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1997 6 1 1 0 1 24 24 1.0 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 0 1997 6 1 1 0 1 26 26 1.7 0 2 1 0 0 0 0 0 0 2 1 0 0 0 0 0 1997 6 1 1 0 1 28 28 2.6 0 5 5 0 0 0 0 0 0 5 5 0 0 0 0 0 1997 6 1 1 0 1 30 30 2.8 0 3 17 0 0 0 0 0 0 3 17 0 0 0 0 0 1997 6 1 1 0 1 32 32 3.3 0 6 15 0 0 0 0 0 0 6 15 0 0 0 0 0 1997 6 1 1 0 1 34 34 3.0 0 2 17 0 0 0 0 0 0 2 17 0 0 0 0 0 1997 6 1 1 0 1 36 36 3.3 0 4 21 2 0 0 0 0 0 4 21 2 0 0 0 0 1997 6 1 1 0 1 38 38 3.0 0 1 12 2 0 0 0 0 0 1 12 2 0 0 0 0 1997 6 1 1 0 1 40 40 2.8 0 0 6 2 2 0 0 0 0 0 6 2 2 0 0 0 1997 6 1 1 0 1 42 42 2.8 0 0 9 1 1 1 0 0 0 0 9 1 1 1 0 0 1997 6 1 1 0 1 44 44 2.8 0 0 4 4 1 0 0 1 0 0 4 4 1 0 0 1 1997 6 1 1 0 1 46 46 3.2 0 0 2 6 0 1 3 0 0 0 2 6 0 1 3 0 1997 6 1 1 0 1 48 48 2.2 0 0 2 4 2 1 1 0 0 0 2 4 2 1 1 0 1997 6 1 1 0 1 50 50 2.0 0 0 1 2 0 1 0 0 0 0 1 2 0 1 0 0 1997 6 1 1 0 1 52 52 1.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1997 6 1 1 0 1 54 54 1.4 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 1997 6 1 1 0 1 56 56 1.4 0 0 0 0 0 1 1 2 0 0 0 0 0 1 1 2 1998 6 1 1 0 1 20 20 1.4 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1998 6 1 1 0 1 22 22 1.4 5 1 0 0 0 0 0 0 5 1 0 0 0 0 0 0 1998 6 1 1 0 1 24 24 1.4 8 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 1998 6 1 1 0 1 26 26 2.0 4 0 2 0 0 0 0 0 4 0 2 0 0 0 0 0 1998 6 1 1 0 1 28 28 2.8 0 4 8 0 0 0 0 0 0 4 8 0 0 0 0 0 1998 6 1 1 0 1 30 30 3.5 0 2 16 1 1 0 0 0 0 2 16 1 1 0 0 0 1998 6 1 1 0 1 32 32 2.8 0 0 13 2 0 0 0 0 0 0 13 2 0 0 0 0 1998 6 1 1 0 1 34 34 3.9 0 0 26 13 1 0 0 0 0 0 26 13 1 0 0 0 1998 6 1 1 0 1 36 36 4.4 0 2 40 13 0 0 0 0 0 2 40 13 0 0 0 0 1998 6 1 1 0 1 38 38 3.3 0 0 37 5 0 0 0 0 0 0 37 5 0 0 0 0 1998 6 1 1 0 1 40 40 3.3 0 0 14 11 1 0 0 0 0 0 14 11 1 0 0 0 1998 6 1 1 0 1 42 42 2.4 0 0 4 7 2 1 0 0 0 0 4 7 2 1 0 0 1998 6 1 1 0 1 44 44 2.4 0 0 1 4 2 1 1 0 0 0 1 4 2 1 1 0 1998 6 1 1 0 1 46 46 1.7 0 0 1 4 2 0 0 0 0 0 1 4 2 0 0 0 1998 6 1 1 0 1 48 48 2.4 0 0 2 2 1 1 1 1 0 0 2 2 1 1 1 1 1998 6 1 1 0 1 52 52 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1998 6 1 1 0 1 54 54 1.4 0 0 0 0 1 0 2 0 0 0 0 0 1 0 2 0 1998 6 1 1 0 1 56 56 1.0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 1999 6 1 1 0 1 24 24 1.4 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1999 6 1 1 0 1 26 26 1.7 1 5 0 0 0 0 0 0 1 5 0 0 0 0 0 0 1999 6 1 1 0 1 28 28 2.2 0 4 1 0 0 0 0 0 0 4 1 0 0 0 0 0 1999 6 1 1 0 1 30 30 2.6 0 7 4 0 0 0 0 0 0 7 4 0 0 0 0 0 1999 6 1 1 0 1 32 32 2.6 0 8 4 1 0 0 0 0 0 8 4 1 0 0 0 0 1999 6 1 1 0 1 34 34 3.2 0 6 9 8 0 0 0 0 0 6 9 8 0 0 0 0 1999 6 1 1 0 1 36 36 3.5 0 6 17 5 0 0 0 0 0 6 17 5 0 0 0 0 1999 6 1 1 0 1 38 38 3.0 0 2 16 12 1 0 0 0 0 2 16 12 1 0 0 0 1999 6 1 1 0 1 40 40 2.4 0 1 6 13 4 0 0 0 0 1 6 13 4 0 0 0 1999 6 1 1 0 1 42 42 2.0 0 0 2 10 2 0 0 0 0 0 2 10 2 0 0 0 1999 6 1 1 0 1 44 44 1.7 0 0 4 3 4 0 0 0 0 0 4 3 4 0 0 0 1999 6 1 1 0 1 46 46 1.4 0 0 0 4 0 2 0 0 0 0 0 4 0 2 0 0 1999 6 1 1 0 1 48 48 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1999 6 1 1 0 1 50 50 2.2 0 0 0 0 3 1 1 0 0 0 0 0 3 1 1 0 1999 6 1 1 0 1 52 52 1.7 0 0 0 0 1 0 2 0 0 0 0 0 1 0 2 0 1999 6 1 1 0 1 56 56 1.4 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 1 2000 6 1 1 0 1 16 16 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2000 6 1 1 0 1 26 26 1.4 0 0 10 0 0 0 0 0 0 0 10 0 0 0 0 0 2000 6 1 1 0 1 28 28 1.4 0 0 11 0 0 0 0 0 0 0 11 0 0 0 0 0 2000 6 1 1 0 1 30 30 2.0 0 1 9 0 0 0 0 0 0 1 9 0 0 0 0 0 2000 6 1 1 0 1 32 32 2.2 0 0 15 1 2 0 0 0 0 0 15 1 2 0 0 0 2000 6 1 1 0 1 34 34 2.0 0 2 8 4 0 0 1 0 0 2 8 4 0 0 1 0 2000 6 1 1 0 1 36 36 2.4 0 3 16 3 4 3 2 0 0 3 16 3 4 3 2 0 2000 6 1 1 0 1 38 38 2.6 0 0 5 5 2 1 0 0 0 0 5 5 2 1 0 0 2000 6 1 1 0 1 40 40 2.4 0 0 8 2 7 4 2 0 0 0 8 2 7 4 2 0 2000 6 1 1 0 1 42 42 1.7 0 0 4 3 3 1 2 0 0 0 4 3 3 1 2 0 2000 6 1 1 0 1 44 44 1.7 0 0 2 2 1 0 1 0 0 0 2 2 1 0 1 0 2000 6 1 1 0 1 46 46 1.4 0 0 0 1 4 1 1 0 0 0 0 1 4 1 1 0 2000 6 1 1 0 1 48 48 1.4 0 0 0 2 4 1 0 0 0 0 0 2 4 1 0 0 2000 6 1 1 0 1 50 50 2.0 0 0 0 2 2 1 1 0 0 0 0 2 2 1 1 0 2000 6 1 1 0 1 54 54 1.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2000 6 1 1 0 1 56 56 1.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2001 6 1 1 0 1 32 32 1.4 0 4 0 1 0 0 0 0 0 4 0 1 0 0 0 0 2001 6 1 1 0 1 34 34 2.0 0 4 5 2 0 0 0 0 0 4 5 2 0 0 0 0 2001 6 1 1 0 1 36 36 1.7 0 3 6 6 0 0 0 0 0 3 6 6 0 0 0 0 2001 6 1 1 0 1 38 38 2.0 0 2 0 7 1 0 0 0 0 2 0 7 1 0 0 0 2001 6 1 1 0 1 40 40 2.0 0 1 3 5 0 0 0 0 0 1 3 5 0 0 0 0 2001 6 1 1 0 1 42 42 1.4 0 1 3 8 2 0 0 0 0 1 3 8 2 0 0 0 2001 6 1 1 0 1 44 44 1.4 0 1 0 2 0 2 0 0 0 1 0 2 0 2 0 0 2001 6 1 1 0 1 46 46 1.4 0 0 2 3 0 0 0 0 0 0 2 3 0 0 0 0 2001 6 1 1 0 1 48 48 1.0 0 0 2 0 0 1 0 0 0 0 2 0 0 1 0 0 2002 6 1 1 0 1 26 26 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2002 6 1 1 0 1 28 28 1.7 0 2 4 0 0 0 0 0 0 2 4 0 0 0 0 0 2002 6 1 1 0 1 30 30 1.4 0 0 6 0 0 0 0 0 0 0 6 0 0 0 0 0 2002 6 1 1 0 1 32 32 1.7 0 2 8 0 0 0 0 0 0 2 8 0 0 0 0 0 2002 6 1 1 0 1 34 34 2.6 0 0 15 1 0 0 0 0 0 0 15 1 0 0 0 0 2002 6 1 1 0 1 36 36 2.0 0 1 4 0 2 0 0 0 0 1 4 0 2 0 0 0 2002 6 1 1 0 1 38 38 1.4 0 1 12 0 0 0 0 0 0 1 12 0 0 0 0 0 2002 6 1 1 0 1 40 40 1.4 0 0 5 0 2 0 0 0 0 0 5 0 2 0 0 0 2002 6 1 1 0 1 42 42 1.7 0 0 2 1 0 0 0 0 0 0 2 1 0 0 0 0 2002 6 1 1 0 1 44 44 1.7 0 0 2 0 0 1 0 0 0 0 2 0 0 1 0 0 2002 6 1 1 0 1 46 46 1.0 0 0 1 3 0 0 0 0 0 0 1 3 0 0 0 0 2002 6 1 1 0 1 48 48 1.4 0 0 1 1 2 0 1 0 0 0 1 1 2 0 1 0 2002 6 1 1 0 1 50 50 1.0 0 0 0 3 2 1 0 0 0 0 0 3 2 1 0 0 2002 6 1 1 0 1 52 52 1.4 0 0 0 0 5 0 1 0 0 0 0 0 5 0 1 0 2002 6 1 1 0 1 54 54 1.4 0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 2003 6 1 1 0 1 26 26 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2003 6 1 1 0 1 28 28 1.4 0 2 0 2 0 0 0 0 0 2 0 2 0 0 0 0 2003 6 1 1 0 1 30 30 2.0 0 7 4 2 0 0 0 0 0 7 4 2 0 0 0 0 2003 6 1 1 0 1 32 32 1.7 0 8 2 0 1 1 0 0 0 8 2 0 1 1 0 0 2003 6 1 1 0 1 34 34 2.2 0 1 8 1 0 0 0 0 0 1 8 1 0 0 0 0 2003 6 1 1 0 1 36 36 2.2 0 0 5 7 1 0 1 0 0 0 5 7 1 0 1 0 2003 6 1 1 0 1 38 38 1.7 0 1 1 3 1 0 0 0 0 1 1 3 1 0 0 0 2003 6 1 1 0 1 40 40 2.0 0 0 2 6 0 1 0 0 0 0 2 6 0 1 0 0 2003 6 1 1 0 1 42 42 2.6 0 0 6 6 2 1 0 0 0 0 6 6 2 1 0 0 2003 6 1 1 0 1 44 44 1.7 0 0 2 10 1 1 0 0 0 0 2 10 1 1 0 0 2003 6 1 1 0 1 46 46 1.7 0 0 2 2 3 0 0 0 0 0 2 2 3 0 0 0 2003 6 1 1 0 1 48 48 1.4 0 0 0 4 0 0 0 0 0 0 0 4 0 0 0 0 2003 6 1 1 0 1 50 50 1.4 0 0 1 2 2 1 0 0 0 0 1 2 2 1 0 0 2003 6 1 1 0 1 52 52 1.7 0 0 0 0 1 2 0 0 0 0 0 0 1 2 0 0 2003 6 1 1 0 1 54 54 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2004 6 1 1 0 1 24 24 1.0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2004 6 1 1 0 1 26 26 1.0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 2004 6 1 1 0 1 28 28 1.0 0 4 1 0 0 0 0 0 0 4 1 0 0 0 0 0 2004 6 1 1 0 1 32 32 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2004 6 1 1 0 1 34 34 1.4 0 2 4 0 0 0 0 0 0 2 4 0 0 0 0 0 2004 6 1 1 0 1 36 36 1.7 0 1 16 1 0 0 0 0 0 1 16 1 0 0 0 0 2004 6 1 1 0 1 38 38 1.7 0 1 3 1 0 0 0 0 0 1 3 1 0 0 0 0 2004 6 1 1 0 1 40 40 1.7 0 0 7 2 0 0 0 0 0 0 7 2 0 0 0 0 2004 6 1 1 0 1 42 42 2.4 0 0 5 4 1 0 0 0 0 0 5 4 1 0 0 0 2004 6 1 1 0 1 44 44 2.2 0 0 1 3 1 0 0 0 0 0 1 3 1 0 0 0 2004 6 1 1 0 1 46 46 2.0 0 0 0 1 2 2 1 0 0 0 0 1 2 2 1 0 2004 6 1 1 0 1 48 48 1.0 0 0 0 2 3 0 0 1 0 0 0 2 3 0 0 1 2004 6 1 1 0 1 50 50 2.0 0 0 0 6 3 1 0 0 0 0 0 6 3 1 0 0 2004 6 1 1 0 1 52 52 1.0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 2004 6 1 1 0 1 54 54 1.7 0 0 0 1 2 0 0 1 0 0 0 1 2 0 0 1 2004 6 1 1 0 1 56 56 1.4 0 0 0 0 1 1 0 1 0 0 0 0 1 1 0 1 2005 6 1 1 0 1 32 32 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2005 6 1 1 0 1 34 34 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2005 6 1 1 0 1 36 36 1.4 0 1 0 2 0 0 0 0 0 1 0 2 0 0 0 0 2005 6 1 1 0 1 38 38 1.0 0 3 3 0 0 0 0 0 0 3 3 0 0 0 0 0 2005 6 1 1 0 1 40 40 1.0 0 2 0 1 0 0 0 0 0 2 0 1 0 0 0 0 2005 6 1 1 0 1 42 42 1.4 0 2 1 2 1 0 0 0 0 2 1 2 1 0 0 0 2005 6 1 1 0 1 46 46 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2005 6 1 1 0 1 48 48 1.0 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 2005 6 1 1 0 1 50 50 1.0 0 0 3 5 3 1 0 0 0 0 3 5 3 1 0 0 2005 6 1 1 0 1 52 52 1.4 0 0 2 3 2 0 0 1 0 0 2 3 2 0 0 1 2005 6 1 1 0 1 56 56 1.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2006 6 1 1 0 1 30 30 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2006 6 1 1 0 1 32 32 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2006 6 1 1 0 1 34 34 2.0 0 3 1 0 0 0 0 0 0 3 1 0 0 0 0 0 2006 6 1 1 0 1 36 36 2.4 0 3 5 1 0 0 0 0 0 3 5 1 0 0 0 0 2006 6 1 1 0 1 38 38 2.4 0 2 5 1 0 0 0 0 0 2 5 1 0 0 0 0 2006 6 1 1 0 1 40 40 2.0 0 2 5 2 0 0 0 0 0 2 5 2 0 0 0 0 2006 6 1 1 0 1 42 42 2.2 0 0 3 1 3 1 0 0 0 0 3 1 3 1 0 0 2006 6 1 1 0 1 44 44 1.4 0 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 2006 6 1 1 0 1 46 46 1.4 0 0 1 1 2 1 0 0 0 0 1 1 2 1 0 0 2006 6 1 1 0 1 48 48 1.0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2006 6 1 1 0 1 50 50 1.4 0 0 0 1 2 0 0 0 0 0 0 1 2 0 0 0 2006 6 1 1 0 1 52 52 1.0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 2006 6 1 1 0 1 54 54 1.4 0 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 2006 6 1 1 0 1 56 56 1.0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 2007 6 1 1 0 1 28 28 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2007 6 1 1 0 1 30 30 1.0 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 0 2007 6 1 1 0 1 38 38 1.0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 2007 6 1 1 0 1 40 40 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2007 6 1 1 0 1 56 56 1.0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2010 6 1 1 0 1 28 28 1.0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 2010 6 1 1 0 1 30 30 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2010 6 1 1 0 1 34 34 1.4 0 0 5 0 0 0 0 0 0 0 5 0 0 0 0 0 2010 6 1 1 0 1 36 36 1.4 0 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 2010 6 1 1 0 1 40 40 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2010 6 1 1 0 1 42 42 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2010 6 1 1 0 1 44 44 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2011 6 1 1 0 1 32 32 1.0 0 0 0 4 0 0 0 0 0 0 0 4 0 0 0 0 2011 6 1 1 0 1 34 34 1.0 0 0 0 5 0 0 0 0 0 0 0 5 0 0 0 0 2011 6 1 1 0 1 36 36 1.0 0 0 1 3 0 0 0 0 0 0 1 3 0 0 0 0 2011 6 1 1 0 1 52 52 1.0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2011 6 1 1 0 1 54 54 1.0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 2013 6 1 1 0 1 30 30 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2013 6 1 1 0 1 34 34 1.4 0 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 2013 6 1 1 0 1 36 36 1.7 0 4 6 1 0 0 0 0 0 4 6 1 0 0 0 0 2013 6 1 1 0 1 38 38 1.4 0 1 4 1 0 0 0 0 0 1 4 1 0 0 0 0 2013 6 1 1 0 1 40 40 1.7 0 0 2 1 1 0 0 0 0 0 2 1 1 0 0 0 2013 6 1 1 0 1 42 42 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2013 6 1 1 0 1 44 44 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2014 6 1 1 0 1 32 32 1.4 0 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 2014 6 1 1 0 1 34 34 1.4 0 0 5 0 0 0 0 0 0 0 5 0 0 0 0 0 2014 6 1 1 0 1 36 36 1.4 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 2014 6 1 1 0 1 38 38 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2015 6 1 1 0 1 28 28 1.0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 2015 6 1 1 0 1 30 30 1.0 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 0 2015 6 1 1 0 1 32 32 1.4 0 10 0 0 1 0 0 0 0 10 0 0 1 0 0 0 2015 6 1 1 0 1 34 34 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2015 6 1 1 0 1 36 36 1.7 0 0 4 1 0 0 0 0 0 0 4 1 0 0 0 0 2015 6 1 1 0 1 38 38 1.7 0 0 3 4 0 0 0 0 0 0 3 4 0 0 0 0 2015 6 1 1 0 1 40 40 1.7 0 0 3 6 0 0 0 0 0 0 3 6 0 0 0 0 2015 6 1 1 0 1 42 42 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2015 6 1 1 0 1 44 44 1.0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 2016 6 1 1 0 1 14 14 1.0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 2016 6 1 1 0 1 16 16 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0 0 0 0 4 7 0 0 0 0 0 2018 10 5 2 0 1 36 36 2.0 0 2 3 0 0 0 0 0 0 2 3 0 0 0 0 0 2018 10 5 2 0 1 38 38 1.7 0 1 2 0 0 0 0 0 0 1 2 0 0 0 0 0 2018 10 5 2 0 1 40 40 1.7 0 0 6 0 0 0 0 0 0 0 6 0 0 0 0 0 2018 10 5 2 0 1 42 42 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2018 10 5 2 0 1 44 44 1.0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 2019 10 5 2 0 1 24 24 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2019 10 5 2 0 1 26 26 2.0 1 5 0 0 0 0 0 0 1 5 0 0 0 0 0 0 2019 10 5 2 0 1 28 28 4.4 4 20 0 0 0 0 0 0 4 20 0 0 0 0 0 0 2019 10 5 2 0 1 30 30 3.0 4 12 0 0 0 0 0 0 4 12 0 0 0 0 0 0 2019 10 5 2 0 1 32 32 2.8 0 6 3 0 0 0 0 0 0 6 3 0 0 0 0 0 2019 10 5 2 0 1 34 34 2.0 0 4 0 0 0 0 0 0 0 4 0 0 0 0 0 0 2019 10 5 2 0 1 36 36 1.7 0 3 0 0 0 0 0 0 0 3 0 0 0 0 0 0 2019 10 5 2 0 1 38 38 1.4 0 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 2019 10 5 2 0 1 40 40 1.0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 -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 #!!END AGE COMPOSITION OPTION OR CONDITIONAL AGE-AT-LENGTH OPTION!! #MEAN LENGTH OR BODY WEIGHT-AT-AGE 0 #_Use_MeanSize-at-Age_obs (0/1) # 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 # ageerr codes: positive means mean length-at-age; negative means mean bodywt_at_age #_yr month fleet sex part ageerr ignore datavector(female-male) # samplesize(female-male) #!!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