## SPiCT data file
##
## Commercial catches must be assigned a time INTERVAL given by "time_start" and "time_end"
## and must have fleet number 1.
##
## Indices of exploitable stock biomass are assumed to be snapshots in time, so "time_start" should equal "time_end" 
## (If not, the midpoint is used). Allowed fleet numbers are 2 to 998. Separate catchabilities and variances are estimated for each fleet number.
##
## Total commercial effort may be provided, and should have fleet number 999.
##
## The column "obs" contain the actual observations. Only positive values are used.
##
## Relative observation weights may be provided in the column "stdevfac". 
## The standard deviation of observation error (on log scale, which is approximately the CV) is assumed to be proportional to this number.
##
"time_start","time_end","fleet","obs","stdevfac"
#fleet 1=landings, fleet 2=trawl_survey_SK, fleet 3= trawl_survey_CO, fleet 4= gillnet_survey, fleet 5=logbook_CPUE, fleet 6=landing_cpue
#fleet 7=gillnet survey >35cm only

#CATCHES, early time series not used
1990,1991,1,3821,1
1991,1992,1,5372,1
1992,1993,1,6577,1
1993,1994,1,5367,1
1994,1995,1,5201,1
1995,1996,1,7400,1
1996,1997,1,7837,1
1997,1998,1,8601,1
1998,1999,1,10671,1
1999,2000,1,10593,1
2000,2001,1,7574,1
2001,2002,1,7072,1
2002,2003,1,11718,1
2003,2004,1,11571,1
2004,2005,1,12857,1
2005,2006,1,12451,1
2006,2007,1,12114,1
2007,2008,1,10381,1
2008,2009,1,7700,1
2009,2010,1,6321,1
2010,2011,1,8877,1
2011,2012,1,7411,1
2012,2013,1,7898,1
2013,2014,1,9068,1
2014,2015,1,9173,1
2015,2016,1,8674,1
2016,2017,1,10760,1
2017,2018,1,6409,1
2018,2019,1,8399,1
2019,2020,1,8759,1
2020,2021,1,7602,1
2021,2022,1,9028,1

#trawl_survey_SK applied smoother, 1 outlier removed (2004)
1992.5,1992.5,2,3.962177,1
1993.5,1993.5,2,3.935836,1
1994.5,1994.5,2,4.470441,1
1995.5,1995.5,2,5.535667,1
1996.5,1996.5,2,7.384457,1
1997.5,1997.5,2,8.791483,1
1998.5,1998.5,2,9.208915,1
1999.5,1999.5,2,9.605368,1
2000.5,2000.5,2,9.262207,1
2001.5,2001.5,2,10.123486,1
2002.5,2002.5,2,11.99027,1
2003.5,2003.5,2,14.87911,1

#fleet 3= trawl_survey_CO applied smoother, 1 outlier removed (2021)
2005.5,2005.5,3,20.3394,1
2006.5,2006.5,3,19.3694,1
2007.5,2007.5,3,18.86423,1
2008.5,2008.5,3,18.55288,1
2009.5,2009.5,3,18.80812,1
2010.5,2010.5,3,19.11273,1
2011.5,2011.5,3,18.58505,1
2012.5,2012.5,3,17.6165,1
2013.5,2013.5,3,15.46017,1
2014.5,2014.5,3,13.34411,1
2015.5,2015.5,3,12.57989,1
2016.5,2016.5,3,12.26736,1
2017.5,2017.5,3,12.42291,1
2018.5,2018.5,3,13.0122,1
2019.5,2019.5,3,13.94445,1
2020.5,2020.5,3,15.2504,1

#fleet 4= gillnet_survey, raw values from SCR
#2001.5,2001.5,4,18.08,1
#2002.5,2002.5,4,9.44,1
#2003.5,2003.5,4,12.94,1
#2004.5,2004.5,4,14.86,1
#2005.5,2005.5,4,16.32,1
#2006.5,2006.5,4,8.89,1
#2007.5,2007.5,4,7.12,1
#2008.5,2008.5,4,14.8,1
#2010.5,2010.5,4,14.01,1
#2011.5,2011.5,4,25.1,1
#2013.5,2013.5,4,12.53,1
#2014.5,2014.5,4,12.42,1
#2015.5,2015.5,4,10.1,1
#2016.5,2016.5,4,9.69,1
#2017.5,2017.5,4,9.14,1
#2018.5,2018.5,4,10.91,1
#2019.5,2019.5,4,16.44,1
#2020.5,2020.5,4,18.86,1
#2021.5,2021.5,4,27.4,1

#fleet 5=logbook_CPUE, gillnet
#2010.5,2010.5,5,43.65,1
#2011.5,2011.5,5,39.14,1
#2012.5,2012.5,5,41.77,1
#2013.5,2013.5,5,39.13,1
#2014.5,2014.5,5,38.59,1
#2015.5,2015.5,5,31.81,1
#2016.5,2016.5,5,36.14,1
#2017.5,2017.5,5,23.08,1
#2018.5,2018.5,5,29.8,1
#2019.5,2019.5,5,27.83,1
#2020.5,2020.5,5,26.8,1
#2021.5,2021.5,5,30.22,1

#fleet 6=landing_cpue
#2013,2013,6,47.39,1
#2014,2014,6,40.46,1
#2015,2015,6,35.79,1
#2016,2016,6,33.57,1
#2017,2017,6,23.99,1
#2018,2018,6,32.24,1
#2019,2019,6,28.73,1
#2020,2020,6,29.74,1
#2021,2021,6,36.21,1

#fleet 7=gillnet survey >35cm only from length distribution, time series before 2008 estimated from regression, 2012 from length distribution only
#2001.5,2001.5,7,282.32704,1
#2002.5,2002.5,7,142.03072,1
#2003.5,2003.5,7,198.86372,1
#2004.5,2004.5,7,230.04068,1
#2005.5,2005.5,7,253.74816,1
#2006.5,2006.5,7,133.09982,1
#2007.5,2007.5,7,104.35856,1
#2008.5,2008.5,7,203.11317702515,1
#2010.5,2010.5,7,200.184155490772,1
#2011.5,2011.5,7,409.806188275869,1
#2012.5,2012.5,7,145.689564229188,1
#2013.5,2013.5,7,173.511252868795,1
#2014.5,2014.5,7,195.610904373047,2
#2015.5,2015.5,7,169.941394379852,3
#2016.5,2016.5,7,147.142934734951,4
#2017.5,2017.5,7,155.567631840013,5
#2018.5,2018.5,7,168.679854971184,6
#2019.5,2019.5,7,260.977884442049,7
#2020.5,2020.5,7,289.754168771386,8
#2021.5,2021.5,7,436.214171329969,9

#fleet 8=gillnet survey >35cm only, smoothed, 
2001.5,2001.5,8,238.8364,1
2002.5,2002.5,8,221.4341,1
2003.5,2003.5,8,206.3466,1
2004.5,2004.5,8,194.067,1
2005.5,2005.5,8,184.3464,1
2006.5,2006.5,8,178.4381,1
2007.5,2007.5,8,174.616,1
2008.5,2008.5,8,171.2825,1
2010.5,2010.5,8,170.2397,1
2012.5,2012.5,8,172.473,1
2013.5,2013.5,8,171.3251,1
2014.5,2014.5,8,160.9604,1
2015.5,2015.5,8,162.6841,1
2016.5,2016.5,8,170.123,1
2017.5,2017.5,8,185.6663,1
2018.5,2018.5,8,207.634,1
2019.5,2019.5,8,237.3995,1
2020.5,2020.5,8,274.4168,1

#fleet 9=CPUE index fra GLM, garn+line kombineret 
2009.5,2009.5,9,1.3868613,1
2010.5,2010.5,9,1,1
2011.5,2011.5,9,0.7833184,1
2012.5,2012.5,9,0.9068571,1
2013.5,2013.5,9,0.7806422,1
2014.5,2014.5,9,0.7529178,1
2015.5,2015.5,9,0.4263142,1
2016.5,2016.5,9,0.6288881,1
2017.5,2017.5,9,0,1
2018.5,2018.5,9,0.3239286,1
2019.5,2019.5,9,0.2298146,1
2020.5,2020.5,9,0.1792307,1
2021.5,2021.5,9,0.3426535,1