function [data, auxData, metaData, txtData, weights] = mydata_Sillago_bassensis

%% set metaData
metaData.phylum     = 'Chordata'; 
metaData.class      = 'Actinopterygii'; 
metaData.order      = 'Spariformes'; 
metaData.family     = 'Sillaginidae';
metaData.species    = 'Sillago_bassensis'; 
metaData.species_en = 'Southern school whiting'; 

metaData.ecoCode.climate = {'MB'};
metaData.ecoCode.ecozone = {'MIE'};
metaData.ecoCode.habitat = {'0jMp', 'jiMb'};
metaData.ecoCode.embryo  = {'Mp'};
metaData.ecoCode.migrate = {'Mo'};
metaData.ecoCode.food    = {'bjPz', 'jiCi', 'jiCvf'};
metaData.ecoCode.gender  = {'D'};
metaData.ecoCode.reprod  = {'O'};

metaData.T_typical  = C2K(17.8); % K, body temp
metaData.data_0     = {'am'; 'Lp'; 'Li'; 'Wwb'; 'Wwp'; 'Wwi'; 'Ri'}; 
metaData.data_1     = {'t-L'}; 

metaData.COMPLETE = 2.5; % using criteria of LikaKear2011

metaData.author     = {'Bas Kooijman'};    
metaData.date_subm  = [2019 03 06];              
metaData.email      = {'bas.kooijman@vu.nl'};            
metaData.address    = {'VU University Amsterdam'};   

metaData.author_mod_1   = {'Bas Kooijman'};    
metaData.date_mod_1     = [2023 04 07];              
metaData.email_mod_1    = {'bas.kooijman@vu.nl'};            
metaData.address_mod_1  = {'VU University, Amsterdam'};   

metaData.curator     = {'Starrlight Augustine'};
metaData.email_cur   = {'starrlight@tecnico.ulisboa.pt'}; 
metaData.date_acc    = [2023 04 07];

%% set data
% zero-variate data

data.am = 10 * 365;  units.am = 'd';      label.am = 'life span';                 bibkey.am = 'HyndPott1996';   
  temp.am = C2K(17.8); units.temp.am = 'K'; label.temp.am = 'temperature'; 

data.Lp  = 17.5;      units.Lp  = 'cm';  label.Lp  = 'total length at puberty';  bibkey.Lp  = 'HyndPott1996';  
data.Lpm  = 15.5;   units.Lpm  = 'cm'; label.Lpm  = 'total length at puberty for males';  bibkey.Lpm  = 'HyndPott1996';  
data.Li  = 33;      units.Li  = 'cm';  label.Li  = 'ultimate total length';    bibkey.Li  = 'fishbase';

data.Wwb = 3.5e-4;   units.Wwb = 'g';   label.Wwb = 'wet weight at birth';      bibkey.Wwb = 'HyndPott1996';
  comment.Wwb = 'based on egg diameter of 0.88 mm: pi/6*0.088^3';
data.Wwp = 54.5;      units.Wwp = 'g';   label.Wwp = 'wet weight at puberty';    bibkey.Wwp = {'HyndPott1996','fishbase'};
  comment.Wwi = 'based on 0.00832*Lp^3.07, see F1';
data.Wwi = 382;      units.Wwi = 'g';   label.Wwi = 'ultimate wet weight';      bibkey.Wwi = 'fishbase';
  comment.Wwi = 'based on 0.00832*Li^3.07, see F1';

data.Ri = 7e6/365;   units.Ri = '#/d';  label.Ri = 'Reprod rate max rate';       bibkey.Ri = 'guess';
  temp.Ri = C2K(17.8); units.temp.Ri = 'K'; label.temp.Ri = 'temperature';
  comment.Ri = 'based on kap = 0.9';

% uni-variate data
% time-length
data.tL_f = [ ... % time since birth (yr), total length (cm)
0	4.480
0	4.900
0	5.320
0	5.740
0	6.020
0	6.370
0	6.860
0	6.930
0	7.140
0	7.560
0	7.770
0	8.050
0.150	2.170
0.152	4.900
0.153	7.630
0.154	8.470
0.170	3.780
0.170	3.990
0.171	5.460
0.171	5.880
0.171	6.160
0.171	6.580
0.172	6.720
0.172	7.070
0.172	7.350
0.188	2.940
0.245	4.620
0.245	5.040
0.245	5.250
0.248	10.920
0.266	8.820
0.266	9.100
0.283	5.600
0.302	6.160
0.302	6.790
0.302	7.140
0.303	7.630
0.319	4.060
0.323	10.640
0.343	12.810
0.377	7.280
0.378	8.960
0.380	11.900
0.398	10.920
0.414	6.440
0.414	6.860
0.415	7.770
0.415	7.980
0.415	9.240
0.416	9.520
0.416	9.660
0.416	9.940
0.416	10.010
0.416	10.430
0.417	11.480
0.417	11.900
0.431	4.060
0.452	8.750
0.454	12.530
0.488	4.690
0.585	11.690
0.585	12.110
0.585	12.390
0.585	12.600
0.585	12.810
0.602	8.960
0.602	9.240
0.602	9.520
0.603	10.220
0.603	10.570
0.603	10.850
0.603	11.130
0.604	13.580
0.619	6.090
0.638	7.280
0.639	7.770
0.639	7.980
0.639	8.960
0.641	11.900
0.641	12.460
0.693	5.460
0.696	10.010
0.714	8.540
0.734	11.900
0.750	7.140
0.750	7.560
0.751	7.910
0.755	16.240
0.789	10.360
0.827	11.480
0.827	11.760
0.828	12.320
0.828	12.600
0.844	8.190
0.882	9.590
0.883	12.180
0.899	6.860
0.901	10.360
0.902	11.550
0.902	12.600
0.903	14.840
0.918	6.930
0.918	7.420
0.918	7.700
0.919	8.330
0.919	8.330
0.919	8.820
0.919	8.890
0.920	10.080
0.938	9.100
0.957	10.990
0.958	11.270
0.974	6.230
0.976	10.080
0.976	10.640
1.015	13.510
1.125	10.500
1.125	10.780
1.126	11.690
1.127	13.300
1.128	15.400
1.128	15.680
1.128	16.240
1.144	11.200
1.144	11.410
1.145	12.460
1.145	12.740
1.146	13.930
1.146	14.350
1.147	16.590
1.160	6.930
1.162	9.730
1.163	11.060
1.164	13.020
1.164	13.300
1.164	13.720
1.180	7.910
1.180	9.030
1.181	10.010
1.201	12.390
1.202	14.980
1.203	17.220
1.204	18.060
1.219	11.690
1.222	16.660
1.223	18.340
1.223	18.900
1.260	17.920
1.276	13.720
1.277	16.170
1.279	19.530
1.314	15.610
1.314	15.820
1.315	16.240
1.333	15.540
1.333	16.450
1.333	16.450
1.334	16.800
1.335	19.390
1.351	13.580
1.351	14.560
1.351	14.770
1.352	17.080
1.353	17.360
1.353	17.990
1.354	19.180
1.387	11.130
1.387	11.270
1.387	11.410
1.388	13.020
1.410	20.020
1.424	11.970
1.424	12.250
1.425	12.600
1.425	14.000
1.426	14.350
1.426	15.820
1.445	15.820
1.462	12.740
1.462	12.880
1.539	17.990
1.540	19.600
1.558	16.800
1.558	18.550
1.559	19.180
1.594	14.770
1.595	16.870
1.613	16.310
1.633	17.780
1.648	12.460
1.648	12.460
1.649	12.740
1.649	13.370
1.649	14.140
1.651	17.290
1.651	17.430
1.651	17.920
1.652	18.620
1.652	19.390
1.653	20.020
1.667	13.020
1.668	13.860
1.685	11.130
1.685	11.760
1.685	11.900
1.686	12.180
1.689	19.250
1.706	14.490
1.708	18.620
1.709	20.300
1.725	15.470
1.744	15.820
1.744	16.310
1.784	21.000
1.801	18.340
1.801	18.900
1.802	20.300
1.818	14.980
1.818	15.680
1.819	17.220
1.819	17.220
1.835	11.480
1.835	11.900
1.835	12.530
1.836	14.070
1.836	14.770
1.837	16.450
1.838	18.620
1.839	20.580
1.854	13.580
1.858	19.600
1.873	13.300
1.873	13.300
1.875	16.590
1.876	18.620
1.876	18.900
1.891	12.670
1.892	14.140
1.893	16.030
1.912	16.030
1.913	18.900
1.931	18.130
1.933	20.580
1.951	20.720
1.967	14.770
1.967	15.890
1.968	16.940
1.986	14.910
1.986	15.400
1.986	15.750
2.006	17.710
2.007	19.530
2.008	21.280
2.008	21.700
2.025	18.200
2.063	19.180
2.097	14.210
2.097	14.700
2.098	14.980
2.098	16.310
2.099	17.430
2.100	19.740
2.102	22.540
2.115	13.510
2.116	13.650
2.119	19.740
2.119	20.650
2.121	24.640
2.136	16.590
2.137	18.410
2.154	15.260
2.154	15.960
2.155	17.850
2.155	17.920
2.158	23.660
2.172	15.540
2.173	17.010
2.173	17.150
2.174	17.430
2.174	18.900
2.175	20.090
2.176	21.280
2.176	21.700
2.176	22.190
2.176	22.820
2.193	19.320
2.231	20.230
2.251	22.820
2.268	20.230
2.286	18.130
2.303	16.240
2.307	23.730
2.321	14.980
2.325	20.930
2.327	24.640
2.340	15.120
2.341	16.590
2.341	16.590
2.342	19.040
2.344	21.350
2.344	21.350
2.359	15.610
2.361	18.270
2.361	18.620
2.361	19.110
2.361	20.020
2.362	20.580
2.362	21.000
2.362	21.560
2.363	22.330
2.363	22.890
2.377	13.720
2.379	17.430
2.380	19.460
2.396	14.210
2.396	15.470
2.397	15.820
2.397	17.220
2.398	17.640
2.399	20.020
2.415	14.840
2.415	15.400
2.415	15.960
2.416	17.990
2.437	22.190
2.472	18.270
2.474	20.440
2.492	19.460
2.530	21.000
2.549	21.980
2.550	23.310
2.585	18.550
2.585	20.300
2.603	17.290
2.603	18.130
2.603	18.900
2.604	19.810
2.606	23.660
2.619	13.790
2.620	14.140
2.624	21.910
2.624	22.680
2.624	22.820
2.624	23.170
2.625	24.220
2.642	22.260
2.657	15.190
2.658	17.220
2.662	23.310
2.676	15.470
2.676	15.820
2.677	16.170
2.677	16.450
2.677	16.730
2.677	17.640
2.677	17.850
2.678	18.970
2.678	19.740
2.679	20.930
2.679	21.630
2.680	22.050
2.681	24.080
2.696	18.200
2.697	20.300
2.698	20.790
2.714	17.080
2.771	17.430
2.790	19.740
2.792	23.240
2.792	23.660
2.809	18.690
2.809	18.900
2.826	16.660
2.828	20.720
2.844	15.610
2.844	16.100
2.845	16.590
2.846	19.250
2.847	20.930
2.882	17.220
2.883	17.710
2.883	18.130
2.885	22.050
2.904	22.540
2.919	16.590
2.921	20.230
2.922	21.210
2.922	21.770
2.939	18.410
2.941	21.350
2.958	18.760
2.958	19.880
2.977	19.670
3.015	20.650
3.016	22.330
3.032	17.150
3.032	17.430
3.032	17.920
3.070	19.390
3.108	20.510
3.109	21.980
3.110	23.520
3.110	24.080
3.110	24.710
3.126	20.020
3.128	22.750
3.129	25.620
3.144	18.480
3.145	20.860
3.146	21.420
3.146	21.630
3.164	21.140
3.165	21.980
3.186	26.180
3.200	17.290
3.200	17.850
3.201	20.370
3.203	23.240
3.203	23.660
3.221	22.470
3.256	18.620
3.257	19.530
3.258	21.420
3.275	19.320
3.314	21.140
3.333	23.240
3.333	23.380
3.334	24.150
3.334	24.220
3.334	24.570
3.350	19.950
3.351	21.560
3.368	18.970
3.369	19.460
3.369	20.580
3.370	21.700
3.370	22.190
3.370	22.260
3.370	22.890
3.372	26.530
3.387	18.550
3.408	22.890
3.424	18.970
3.426	22.190
3.443	18.340
3.443	19.040
3.444	20.230
3.464	23.100
3.575	21.840
3.576	22.750
3.576	23.100
3.593	20.510
3.594	22.190
3.595	24.290
3.595	24.640
3.613	23.590
3.614	23.940
3.615	25.970
3.615	26.670
3.631	21.280
3.651	25.060
3.652	25.550
3.668	20.650
3.668	21.140
3.669	23.380
3.688	22.750
3.689	26.250
3.706	22.190
3.707	24.360
3.742	20.790
3.744	22.750
3.780	21.770
3.799	21.630
3.819	24.220
3.820	25.480
3.837	23.240
3.856	24.430
3.874	22.260
3.874	22.820
3.892	20.440
3.894	24.990
3.911	22.260
3.912	24.010
3.930	23.520
3.931	23.660
3.948	22.260
3.986	22.680
4.021	19.250
4.024	24.710
4.044	25.690
4.061	22.820
4.062	25.270
4.098	22.050
4.098	22.540
4.117	23.170
4.117	24.150
4.120	29.820
4.136	24.640
4.137	26.530
4.247	22.120
4.247	22.890
4.247	23.170
4.267	24.500
4.341	23.450
4.342	25.620
4.342	26.250
4.343	27.440
4.378	23.940
4.379	24.430
4.396	22.750
4.399	26.740
4.452	22.400
4.453	23.240
4.546	22.540
4.566	25.410
4.566	25.970
4.602	23.380
4.602	24.220
4.603	24.500
4.641	26.740
4.642	28.490
4.642	29.190
4.659	24.430
4.678	25.900
4.696	24.850
4.698	27.650
4.714	23.450
4.733	23.730
4.733	24.080
4.790	26.250
4.792	30.310
4.825	22.260
4.827	24.780
4.827	24.990
4.827	25.200
4.827	26.040
4.901	23.800
5.127	28.070
5.162	24.500
5.163	26.390
5.220	27.580
5.237	25.060
5.296	29.960
5.352	30.450
5.368	24.990
5.388	27.580
5.461	25.340
5.479	23.450
5.539	30.870
5.555	26.950
5.593	27.790
5.594	28.490
5.610	24.150
5.615	33.040
5.631	29.610
5.686	26.460
5.704	25.200
5.816	25.410
5.837	30.520
5.872	25.900
5.982	22.750
5.984	26.110
6.021	25.130
6.076	23.170
6.189	26.180
6.189	26.250
6.226	24.640
6.339	26.740
6.375	25.200
6.376	25.620
6.507	26.460
6.620	29.960
6.636	24.920
6.640	31.780
6.640	32.410
6.658	30.450
6.731	27.300
6.808	31.500
7.122	25.480
7.141	26.810
7.144	31.850
7.608	28.070
7.944	27.860];
data.tL_f(:,1) = 365 * (0.3 + data.tL_f(:,1));
n=size(data.tL_f,1); for i=2:n; if data.tL_f(i,1)<=data.tL_f(i-1,1); data.tL_f(i,1)=data.tL_f(i-1,1)+1e-3; end; end
units.tL_f   = {'d', 'cm'};  label.tL_f = {'time since birth', 'total length', 'female'};  
temp.tL_f    = C2K(17.8);  units.temp.tL_f = 'K'; label.temp.tL_f = 'temperature';
bibkey.tL_f  = 'HyndPott1996';
comment.tL_f = 'Data for females';
%
data.tL_m = [ ... % time since birth (yr), total length (cm)
0	4.340
0	4.550
0	4.830
0	5.040
0	5.320
0	5.460
0	5.740
0	6.090
0	6.370
0	6.580
0	7.350
0	8.260
0	7.000
0	7.490
0	7.560
0	7.840
0.040	4.970
0.042	8.190
0.042	8.400
0.058	2.240
0.061	7.700
0.077	3.010
0.077	3.850
0.078	4.200
0.078	5.600
0.079	6.090
0.079	6.300
0.079	6.860
0.079	7.420
0.079	7.560
0.098	7.210
0.138	10.920
0.191	4.830
0.191	5.460
0.191	5.740
0.192	6.020
0.192	6.580
0.192	7.210
0.193	9.310
0.209	4.200
0.212	8.890
0.270	10.990
0.270	12.110
0.287	8.400
0.287	8.540
0.288	10.080
0.288	10.360
0.288	10.780
0.289	11.340
0.289	12.880
0.304	4.130
0.307	9.870
0.308	12.110
0.324	8.050
0.325	9.170
0.325	9.660
0.327	12.670
0.343	6.720
0.343	7.420
0.363	9.170
0.398	4.690
0.457	9.380
0.457	9.800
0.458	10.570
0.494	7.420
0.496	11.130
0.496	12.740
0.512	6.090
0.513	7.910
0.513	9.030
0.515	12.180
0.515	12.600
0.533	10.360
0.568	5.460
0.570	10.220
0.588	8.330
0.589	9.310
0.589	10.570
0.590	12.180
0.608	10.570
0.649	16.520
0.664	8.190
0.664	8.750
0.682	7.140
0.682	7.630
0.684	11.830
0.720	8.540
0.740	10.220
0.741	12.460
0.777	9.380
0.795	7.420
0.795	7.420
0.795	7.840
0.814	7.070
0.814	8.610
0.815	8.820
0.815	10.150
0.815	10.500
0.816	10.780
0.816	11.060
0.816	11.200
0.816	11.690
0.816	12.250
0.817	12.880
0.833	8.050
0.833	8.260
0.851	6.300
0.852	9.100
0.893	14.490
0.987	14.420
1.002	7.140
1.003	8.260
1.005	13.020
1.005	13.300
1.005	13.510
1.005	13.650
1.007	16.730
1.024	12.950
1.024	14.000
1.041	9.380
1.041	9.800
1.042	10.710
1.042	11.060
1.042	11.270
1.042	11.620
1.042	11.970
1.042	12.390
1.043	12.740
1.044	15.120
1.045	16.240
1.046	18.270
1.063	14.980
1.081	14.280
1.103	20.090
1.120	16.800
1.121	17.780
1.139	16.310
1.157	15.820
1.250	12.670
1.252	17.290
1.252	17.570
1.253	17.780
1.253	18.270
1.255	21.700
1.268	10.780
1.269	13.650
1.269	14.140
1.270	14.770
1.270	15.050
1.270	15.750
1.270	15.820
1.271	16.660
1.271	16.870
1.272	19.460
1.287	11.200
1.287	11.620
1.287	12.390
1.288	12.880
1.289	15.470
1.364	15.820
1.382	12.810
1.386	20.440
1.420	14.840
1.420	14.910
1.421	15.960
1.421	16.730
1.476	13.370
1.495	12.530
1.496	15.400
1.514	13.440
1.514	14.560
1.515	15.750
1.516	16.730
1.517	18.900
1.534	15.820
1.536	19.040
1.536	19.670
1.536	20.020
1.550	11.060
1.551	11.760
1.551	12.180
1.554	17.430
1.555	19.460
1.570	12.460
1.570	13.020
1.571	13.860
1.571	14.280
1.572	16.730
1.573	17.710
1.589	13.930
1.591	16.870
1.591	17.710
1.592	17.990
1.592	18.620
1.592	19.180
1.612	20.370
1.628	16.170
1.647	16.520
1.648	17.570
1.667	19.040
1.701	11.620
1.705	19.180
1.720	12.180
1.722	14.980
1.723	16.310
1.723	16.800
1.723	17.850
1.725	20.790
1.725	20.930
1.740	13.580
1.740	13.860
1.740	14.210
1.743	19.600
1.744	21.700
1.758	13.160
1.760	15.470
1.760	16.870
1.761	18.270
1.779	16.310
1.800	19.740
1.800	20.790
1.815	12.880
1.816	14.560
1.817	17.570
1.818	18.620
1.819	21.280
1.834	12.740
1.853	13.510
1.856	19.460
1.873	15.750
1.874	17.080
1.874	17.500
1.874	18.550
1.874	18.550
1.892	16.870
1.894	20.300
1.910	15.190
1.949	16.870
2.023	14.350
2.024	16.940
2.041	13.860
2.042	14.630
2.042	15.050
2.043	17.640
2.044	18.690
2.061	15.400
2.064	21.070
2.080	15.610
2.080	15.890
2.081	18.340
2.082	19.810
2.099	16.380
2.100	17.990
2.101	19.180
2.101	20.510
2.102	20.860
2.118	15.540
2.118	16.170
2.120	19.670
2.121	21.420
2.139	19.460
2.139	20.300
2.157	18.410
2.157	19.110
2.175	17.500
2.195	18.760
2.213	17.850
2.250	16.030
2.250	16.520
2.250	16.940
2.252	20.720
2.252	20.790
2.253	21.910
2.253	22.680
2.270	17.920
2.270	18.130
2.270	19.460
2.271	19.740
2.271	21.490
2.288	17.360
2.289	19.320
2.290	20.090
2.306	15.540
2.306	15.540
2.306	15.750
2.306	16.030
2.307	18.340
2.308	18.900
2.310	22.680
2.324	14.980
2.324	14.980
2.325	15.540
2.326	18.340
2.330	24.850
2.345	17.640
2.365	20.860
2.402	18.900
2.402	19.110
2.440	19.600
2.442	22.540
2.477	17.640
2.477	18.760
2.478	19.600
2.479	21.560
2.479	21.980
2.480	23.660
2.480	24.220
2.497	20.580
2.517	22.960
2.534	19.460
2.534	19.460
2.535	21.420
2.552	17.220
2.552	17.570
2.552	17.990
2.552	18.550
2.553	19.250
2.553	19.810
2.553	20.300
2.554	22.540
2.569	14.420
2.571	18.200
2.572	20.860
2.573	21.210
2.573	21.280
2.574	23.100
2.587	13.790
2.589	16.800
2.593	23.660
2.593	24.220
2.593	24.640
2.607	15.400
2.607	15.400
2.607	16.030
2.608	16.170
2.610	19.880
2.627	16.520
2.630	21.980
2.630	22.120
2.630	22.330
2.646	17.850
2.665	17.290
2.685	20.020
2.703	17.640
2.723	20.020
2.723	20.580
2.724	22.540
2.724	22.750
2.740	16.380
2.741	18.270
2.741	18.620
2.742	20.720
2.743	23.100
2.759	17.500
2.759	18.130
2.762	22.400
2.777	16.870
2.780	21.420
2.780	21.420
2.799	21.980
2.818	21.630
2.834	17.220
2.835	18.480
2.835	19.670
2.836	20.300
2.853	18.200
2.854	18.620
2.854	19.180
2.854	20.020
2.875	23.660
2.891	17.430
2.892	19.320
2.892	19.320
2.893	21.980
2.911	20.860
2.911	20.860
2.984	16.660
2.986	19.530
3.004	18.340
3.004	18.410
3.006	22.260
3.007	23.590
3.025	22.400
3.026	22.960
3.043	20.230
3.043	21.210
3.064	24.780
3.064	25.340
3.080	19.040
3.081	21.630
3.082	22.330
3.082	22.540
3.082	23.030
3.082	23.240
3.100	20.650
3.100	20.860
3.117	18.480
3.136	18.970
3.137	19.600
3.137	20.160
3.155	18.970
3.157	21.560
3.192	17.640
3.213	21.280
3.233	23.240
3.233	24.430
3.234	24.780
3.249	18.410
3.250	19.670
3.250	19.740
3.252	24.080
3.269	20.300
3.270	21.490
3.270	21.980
3.270	22.890
3.288	20.930
3.288	21.280
3.289	22.820
3.305	17.500
3.306	18.970
3.308	23.380
3.309	24.990
3.326	21.070
3.344	19.320
3.345	22.120
3.362	18.270
3.365	23.240
3.400	19.110
3.401	20.020
3.402	21.910
3.419	18.480
3.439	21.350
3.459	23.030
3.459	23.100
3.478	24.150
3.495	20.720
3.495	20.930
3.497	24.010
3.514	21.630
3.516	24.850
3.516	25.270
3.517	25.620
3.532	19.040
3.534	22.120
3.534	22.610
3.554	24.430
3.572	24.150
3.573	24.920
3.590	21.210
3.590	21.840
3.591	23.590
3.607	19.460
3.627	20.650
3.647	22.190
3.666	22.540
3.666	23.170
3.685	23.660
3.704	24.010
3.740	21.140
3.741	23.450
3.759	21.770
3.760	22.610
3.760	22.750
3.761	24.360
3.761	24.570
3.761	24.920
3.761	25.200
3.762	26.530
3.777	18.760
3.779	23.170
3.815	20.020
3.818	25.200
3.854	22.750
3.910	21.490
3.911	23.240
3.930	23.310
3.966	20.020
4.005	24.150
4.006	24.430
4.006	24.570
4.006	25.060
4.041	20.300
4.045	26.810
4.061	21.980
4.062	23.380
4.062	23.520
4.080	22.260
4.101	26.460
4.136	21.770
4.155	22.190
4.156	24.290
4.174	23.170
4.213	24.080
4.250	23.940
4.268	22.820
4.269	23.380
4.288	23.940
4.288	25.060
4.290	27.510
4.306	22.260
4.307	24.640
4.307	24.780
4.326	25.410
4.327	26.180
4.344	23.800
4.419	22.820
4.438	22.190
4.458	24.430
4.496	26.670
4.514	23.590
4.516	28.070
4.516	28.420
4.531	21.000
4.534	26.180
4.552	24.640
4.552	25.620
4.554	28.000
4.570	24.150
4.571	24.920
4.589	23.100
4.589	24.290
4.740	25.200
4.742	28.630
4.758	23.100
4.758	23.590
4.759	24.920
4.777	22.330
4.797	24.500
4.854	26.390
4.872	25.060
4.872	25.130
4.909	24.220
4.911	26.320
4.966	25.130
5.041	23.380
5.043	27.510
5.043	28.000
5.079	24.500
5.079	24.850
5.136	25.480
5.154	23.660
5.154	23.940
5.195	30.100
5.250	26.390
5.324	24.430
5.324	24.430
5.324	25.200
5.343	25.130
5.343	25.620
5.439	27.580
5.456	25.690
5.476	26.250
5.494	26.390
5.608	27.090
5.610	30.800
5.645	25.340
5.664	25.690
5.701	25.620
5.720	24.780
5.722	30.240
5.758	26.180
5.776	25.550
6.247	25.550
6.286	27.580
6.286	28.000
6.287	29.400
6.323	25.690
6.437	28.210
6.474	26.180
6.511	25.550
6.550	28.700
6.587	27.090
6.587	27.860
6.623	24.010
6.624	25.900
6.702	30.450
6.719	27.720
6.775	26.810
6.925	25.550
7.057	25.480
7.209	27.650
7.247	27.650
7.285	28.420
7.342	29.540
7.453	26.250
7.493	29.890
8.057	29.470
8.641	28.630
9.281	28.560
9.582	28.700];
data.tL_m(:,1) = 365 * (0.3 + data.tL_m(:,1));
n=size(data.tL_m,1); for i=2:n; if data.tL_m(i,1)<=data.tL_m(i-1,1); data.tL_m(i,1)=data.tL_m(i-1,1)+1e-3; end; end
units.tL_m   = {'d', 'cm'};  label.tL_m = {'time since birth', 'total length', 'male'};  
temp.tL_m    = C2K(17.8);  units.temp.tL_m = 'K'; label.temp.tL_m = 'temperature';
bibkey.tL_m  = 'HyndPott1996';
comment.tL_m = 'Data for males';

%% set weights for all real data
weights = setweights(data, []);
weights.tL_f =  5 * weights.tL_f;
weights.tL_m =  5 * weights.tL_m;
weights.Ri =  0 * weights.Ri;

%% set pseudodata and respective weights
[data, units, label, weights] = addpseudodata(data, units, label, weights);

%% pack auxData and txtData for output
auxData.temp = temp;
txtData.units = units;
txtData.label = label;
txtData.bibkey = bibkey;
txtData.comment = comment;

%% Group plots
set1 = {'tL_f','tL_m'}; subtitle1 = {'Data for females, males'};
metaData.grp.sets = {set1};
metaData.grp.subtitle = {subtitle1};

%% Discussion points
D1 = 'Males are supposed to differ from females by {p_Am} only';    
D2 = 'mod_1: males have equal state variables at b, compared to females';
metaData.discussion = struct('D1',D1, 'D2',D2);  

%% Facts
F1 = 'length-weight: Ww in g = 0.00832*(TL in cm)^3.07';
metaData.bibkey.F1 = 'fishbase';
metaData.facts = struct('F1',F1);

%% Links
metaData.links.id_CoL = '4XDNZ'; % Cat of Life
metaData.links.id_ITIS = '168529'; % ITIS
metaData.links.id_EoL = '46579893'; % Ency of Life
metaData.links.id_Wiki = 'Sillago_bassensis'; % Wikipedia
metaData.links.id_ADW = 'Sillago_bassensis'; % ADW
metaData.links.id_Taxo = '187642'; % Taxonomicon
metaData.links.id_WoRMS = '273936'; % WoRMS
metaData.links.id_fishbase = 'Sillago-bassensis'; % fishbase


%% References
bibkey = 'Wiki'; type = 'Misc'; bib = ...
'howpublished = {\url{http://en.wikipedia.org/wiki/Sillago_bassensis}}';
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'Kooy2010'; type = 'Book'; bib = [ ...  % used in setting of chemical parameters and pseudodata
'author = {Kooijman, S.A.L.M.}, ' ...
'year = {2010}, ' ...
'title  = {Dynamic Energy Budget theory for metabolic organisation}, ' ...
'publisher = {Cambridge Univ. Press, Cambridge}, ' ...
'pages = {Table 4.2 (page 150), 8.1 (page 300)}, ' ...
'howpublished = {\url{../../../bib/Kooy2010.html}}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'HyndPott1996'; type = 'Article'; bib = [ ... 
'author = {G. A. Hyndes and I. C. Potter}, ' ... 
'year = {1996}, ' ...
'title = {Comparisons between the age structures, growth and reproductive biology of two co-occurring sillaginids, \emph{Sillago robusta} and \emph{S. bassensis}, in temperate coastal waters of {A}ustralia}, ' ...
'journal = {J. Fish Biol.}, ' ...
'volume = {49}, ' ...
'pages = {14-32}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'fishbase'; type = 'Misc'; bib = ...
'howpublished = {\url{https://www.fishbase.de/summary/Sillago-bassensis.html}}';
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
