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

%% set metaData
metaData.phylum     = 'Chordata'; 
metaData.class      = 'Actinopterygii'; 
metaData.order      = 'Sciaeniformes'; 
metaData.family     = 'Sciaenidae';
metaData.species    = 'Cynoscion_nebulosus'; 
metaData.species_en = 'Spotted seatrout'; 

metaData.ecoCode.climate = {'MB', 'MC'};
metaData.ecoCode.ecozone = {'MAW'};
metaData.ecoCode.habitat = {'0jMp', '0jMd'};
metaData.ecoCode.embryo  = {'Mp'};
metaData.ecoCode.migrate = {};
metaData.ecoCode.food    = {'bjPz', 'jiCi'};
metaData.ecoCode.gender  = {'D'};
metaData.ecoCode.reprod  = {'O'};

metaData.T_typical  = C2K(24.3); % K, body temp
metaData.data_0     = {'am'; 'Lp'; 'Li'; 'Wwb'; 'Wwi'; 'Ri'}; 
metaData.data_1     = {'t-L_f'}; 

metaData.COMPLETE = 2.6; % using criteria of LikaKear2011

metaData.author         = {'Bas Kooijman'};    
metaData.date_subm      = [2019 01 09];              
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 = 18*365; units.am = 'd';    label.am = 'life span';               bibkey.am = 'fishbase';   
  temp.am = C2K(24.3); units.temp.am = 'K'; label.temp.am = 'temperature'; 

data.Lp  = 35;    units.Lp  = 'cm';  label.Lp  = 'total length at puberty';  bibkey.Lp  = 'fishbase';
data.Li  = 100;    units.Li  = 'cm';  label.Li  = 'ultimate total length';  bibkey.Li  = 'fishbase';

data.Wwb = 2e-4;  units.Wwb = 'g';   label.Wwb = 'wet weight at birth';    bibkey.Wwb = 'Bort2003';
  comment.Wwb = 'based on egg diameter of 0.72 mm: pi/6*0.072^3';
data.Wwi = 7.8e3;  units.Wwi = 'g';   label.Wwi = 'ultimate wet weight';    bibkey.Wwi = 'fishbase';

data.Ri = 11e6/365;  units.Ri = '#/d';  label.Ri = 'reprod rate';  bibkey.Ri = 'NielThom2002';
  temp.Ri = C2K(24.3); units.temp.Ri = 'K'; label.temp.Ri = 'temperature'; 
 
% uni-variate data
% time-length
data.tL = [ ... % yr class (yr), standard length (cm)
16.916	2.224
17.974	1.881
17.974	2.287
18.678	2.381
19.912	1.506
20.793	2.288
21.145	2.850
21.850	3.476
22.026	2.413
22.026	2.663
22.026	2.788
22.907	2.882
22.907	1.788
23.789	2.476
23.965	2.414
23.965	1.601
24.141	3.195
24.317	4.758
24.317	2.351
24.670	3.164
24.846	3.539
24.846	3.445
24.846	3.039
24.846	2.883
24.846	2.820
25.022	3.133
25.022	1.602
26.079	2.789
26.079	2.508
26.079	2.071
26.256	2.914
26.256	2.602
26.256	2.414
26.960	3.290
27.137	3.258
27.137	3.540
27.137	3.727
27.313	3.071
27.665	2.633
27.841	3.571
27.841	3.727
28.018	2.977
28.018	3.415
28.546	2.634
28.546	4.102
28.546	4.321
28.722	3.852
29.075	2.478
29.251	2.321
29.251	3.915
29.251	4.415
29.780	2.790
29.780	3.446
29.956	3.072
29.956	3.165
29.956	3.478
31.013	4.228
31.013	4.478
31.189	4.072
31.366	5.447
31.718	4.103
31.718	4.447
31.718	2.509
32.070	3.760
32.070	4.760
32.070	2.228
32.599	4.510
32.599	4.635
32.952	5.166
33.304	3.010
33.656	2.948
33.833	4.041
33.833	3.823
33.833	2.854
34.009	3.104
34.009	5.229
34.185	4.354
34.890	4.229
34.890	4.042
34.890	4.729
34.890	4.979
35.066	4.229
35.066	4.167
35.066	3.479
35.947	3.729
35.947	4.604
35.947	5.761
36.652	4.698
36.652	4.573
37.004	3.511
37.004	3.980
37.004	6.167
37.533	3.074
37.533	4.761
37.709	5.136
37.709	5.230
37.709	5.480
37.709	5.574
37.709	5.917
37.709	6.449
38.062	4.667
38.062	4.761
38.590	5.480
38.767	4.011
38.943	4.230
38.943	4.418
38.943	4.511
39.471	4.480
39.648	3.855
39.648	3.980
39.824	5.574
39.824	7.012
40.705	4.106
41.762	5.762
41.938	4.668
42.643	5.887
42.996	4.356
43.172	4.950
43.348	5.919
43.700	5.919
43.700	5.481
43.700	5.106
43.700	4.919
43.700	4.700
44.053	5.919
44.229	5.513
44.405	7.513
44.758	5.857
45.815	6.482
45.991	5.607
46.167	5.013
46.167	5.232
46.696	5.638
46.872	6.013
46.872	8.920
47.048	6.763
47.225	7.170
47.401	5.014
47.753	5.795
47.753	6.014
47.753	6.139
48.106	4.576
48.987	4.733
49.163	5.420
49.515	6.389
50.220	5.421
51.101	7.671
51.806	8.327
51.982	5.390
52.511	5.702
52.511	7.671
52.687	7.046
52.687	7.984
52.687	8.202
52.687	8.484
52.863	5.984
53.040	6.234
53.392	9.296
53.568	6.015
53.744	7.953
54.626	7.359
54.978	9.703
55.859	8.953
55.859	8.641
56.564	6.610
57.621	8.110
59.559	8.704
59.736	8.298
62.026	9.017
62.907	9.674
65.022	8.487
65.551	7.987
65.903	8.737
66.608	9.144
72.952	11.989
75.947	8.240
85.639	9.617
89.868	13.806
93.921	12.494
110.308	12.842];
data.tL(:,2) = data.tL(:,2)/ 0.844; % convert SL to TL
for i=2:size(data.tL,1); if data.tL(i,1)<=data.tL(i-1,1); data.tL(i,1)=data.tL(i-1,1)+1e-3; end; end
units.tL   = {'d', 'cm'};  label.tL = {'time since birth', 'total length', 'juvenile'};  
temp.tL    = C2K(24.3);  units.temp.tL = 'K'; label.temp.tL = 'temperature';
bibkey.tL = 'SmitMont2008';

data.tL_f = [ ... % yr class (yr), total length (0.1 mm)
0.490	24.550
0.559	25.071
0.587	24.657
0.706	23.000
0.839	30.271
0.839	32.036
0.853	25.808
0.853	34.424
0.867	26.224
0.867	28.923
0.881	31.311
0.888	28.716
0.895	30.481
0.895	32.038
0.909	33.699
0.944	31.521
0.951	29.756
0.958	28.822
0.958	29.964
0.958	30.483
0.965	26.539
0.965	31.729
0.965	34.220
0.972	33.182
0.979	29.342
0.979	33.806
1.000	29.758
1.014	28.616
1.021	30.070
1.028	28.098
1.035	32.977
1.042	34.534
1.070	29.553
1.077	38.065
1.091	33.290
1.091	34.225
1.098	34.848
1.098	35.574
1.105	40.038
1.119	28.620
1.119	31.319
1.126	35.991
1.133	32.254
1.147	35.057
1.147	33.708
1.147	33.292
1.147	29.555
1.154	37.549
1.161	36.511
1.161	38.794
1.196	27.273
1.210	35.993
1.224	27.274
1.224	25.406
1.231	30.285
1.238	34.126
1.259	28.417
1.280	29.871
1.280	28.937
1.294	30.702
1.350	31.119
1.364	35.064
1.364	37.556
1.427	35.690
1.427	32.056
1.448	37.247
1.455	33.407
1.462	31.019
1.469	32.265
1.476	37.352
1.497	38.495
1.503	37.872
1.503	32.370
1.531	38.184
1.531	39.534
1.538	39.119
1.538	42.026
1.552	31.126
1.552	30.919
1.559	28.739
1.559	24.275
1.559	22.615
1.566	32.580
1.566	27.182
1.573	30.504
1.580	37.771
1.580	38.082
1.580	29.778
1.587	39.224
1.594	38.083
1.594	36.007
1.608	38.602
1.622	33.932
1.657	38.500
1.692	40.681
1.706	37.464
1.706	44.107
1.713	32.793
1.713	38.710
1.720	46.288
1.762	35.909
1.762	36.947
1.783	33.937
1.790	37.674
1.797	38.817
1.804	45.045
1.811	35.184
1.818	32.693
1.825	39.129
1.825	40.686
1.825	40.686
1.825	43.385
1.832	38.195
1.832	39.960
1.839	43.178
1.846	38.092
1.853	47.123
1.853	48.265
1.860	37.262
1.874	39.650
1.881	43.491
1.895	40.481
1.895	43.595
1.902	45.360
1.916	38.717
1.923	34.461
1.937	36.226
1.937	41.105
1.937	47.541
1.944	39.029
1.944	38.406
1.944	43.078
1.951	41.832
1.965	42.144
1.986	37.370
1.986	41.833
1.986	43.079
1.986	43.806
1.993	45.675
2.007	39.758
2.014	40.485
2.021	37.267
2.021	34.880
2.035	44.326
2.042	36.749
2.042	39.344
2.049	39.344
2.049	40.590
2.049	42.770
2.056	35.296
2.056	40.798
2.056	44.950
2.063	32.390
2.063	41.317
2.063	46.404
2.070	38.099
2.070	40.383
2.084	34.051
2.098	36.336
2.105	34.571
2.105	41.941
2.105	44.225
2.112	36.855
2.112	39.554
2.112	45.056
2.112	44.952
2.119	35.402
2.119	37.997
2.119	37.790
2.119	44.226
2.126	40.593
2.126	50.662
2.133	42.773
2.140	36.233
2.140	43.396
2.140	44.226
2.154	35.092
2.161	37.168
2.161	40.075
2.168	42.982
2.168	44.227
2.168	43.604
2.175	40.698
2.182	40.906
2.182	45.058
2.189	38.726
2.189	39.557
2.210	42.568
2.217	40.907
2.224	36.340
2.231	40.700
2.231	38.312
2.245	40.285
2.266	40.078
2.266	38.210
2.273	38.625
2.322	50.046
2.378	31.466
2.399	48.180
2.476	27.940
2.476	45.587
2.490	47.975
2.497	36.453
2.524	39.568
2.538	36.351
2.559	26.282
2.566	28.463
2.566	25.556
2.566	41.023
2.573	28.982
2.573	41.646
2.587	41.958
2.594	42.374
2.594	45.280
2.601	38.222
2.601	42.581
2.615	40.713
2.629	39.883
2.636	40.922
2.664	40.092
2.664	39.677
2.685	45.491
2.713	46.322
2.713	43.831
2.713	43.416
2.720	44.246
2.755	38.953
2.762	40.303
2.762	41.653
2.769	44.456
2.790	46.325
2.797	44.976
2.797	39.474
2.804	40.616
2.811	49.128
2.818	38.852
2.825	42.589
2.825	41.551
2.825	50.686
2.832	46.223
2.832	54.112
2.839	49.026
2.839	53.178
2.846	39.268
2.846	47.780
2.846	47.676
2.853	43.628
2.853	43.109
2.853	41.552
2.867	43.732
2.874	43.836
2.881	45.913
2.881	45.082
2.881	44.252
2.902	41.346
2.902	42.799
2.902	47.263
2.902	53.491
2.909	52.661
2.916	44.980
2.916	38.648
2.916	49.236
2.930	44.565
2.930	51.416
2.937	48.718
2.951	48.718
2.951	54.012
2.951	56.711
2.958	42.386
2.958	51.729
2.965	40.725
2.965	48.407
2.979	40.934
2.979	43.632
2.979	46.435
2.986	48.408
2.986	53.079
2.993	39.481
2.993	44.671
2.993	47.578
3.000	38.443
3.000	41.349
3.000	54.429
3.007	42.803
3.007	52.872
3.014	37.405
3.014	50.693
3.021	47.994
3.021	49.966
3.028	46.022
3.035	51.420
3.042	41.974
3.049	49.656
3.056	43.947
3.056	45.296
3.070	47.476
3.077	51.421
3.084	50.695
3.105	43.325
3.126	42.496
3.133	51.735
3.140	43.742
3.140	49.866
3.140	53.188
3.154	43.950
3.154	45.092
3.154	45.196
3.161	46.234
3.161	51.632
3.161	49.244
3.161	48.829
3.168	46.442
3.203	51.218
3.217	48.831
3.238	53.295
3.245	54.438
3.385	45.515
3.552	42.822
3.580	39.812
3.790	50.927
3.804	51.343
3.832	49.579
3.867	51.552
3.867	45.428
3.867	47.193
3.881	47.608
3.888	50.100
3.902	46.363
3.902	45.844
3.909	50.204
3.909	55.499
3.916	48.855
3.951	48.130
3.979	49.273
3.986	41.799
3.993	48.858
4.028	52.285
4.028	52.804
4.035	49.378
4.035	49.275
4.035	55.503
4.049	50.728
4.049	51.870
4.049	55.088
4.056	48.860
4.063	53.013
4.084	60.903
4.112	51.457
4.140	49.901
4.140	54.157
4.140	52.496
4.147	55.714
4.224	57.689
4.266	56.757
4.266	60.286];
data.tL_f(:,1) = (.75 + data.tL_f(:,1)) * 365; % convert yr to d
for i=2:size(data.tL_f,1); 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(24.3);  units.temp.tL_f = 'K'; label.temp.tL_f = 'temperature';
bibkey.tL_f = 'NielThom2002';
comment.tL_f = 'Data for females';
%
data.tL_m = [ ... % yr class (yr), total length (0.1 mm)
0.671	24.348
0.713	24.454
0.748	25.493
0.755	25.078
0.755	25.805
0.755	27.569
0.755	27.985
0.762	24.663
0.776	23.106
0.846	25.600
0.853	26.431
0.867	24.563
0.874	21.345
0.874	21.241
0.874	20.930
0.895	26.848
0.895	24.771
0.895	23.318
0.902	29.028
0.909	22.281
0.916	26.018
0.923	29.340
0.923	27.990
0.923	25.499
0.923	24.253
0.930	25.084
0.937	23.320
0.944	28.406
0.944	22.489
0.951	30.171
0.951	25.915
0.951	21.348
0.958	23.320
0.965	21.348
0.972	27.785
0.972	24.255
0.979	27.058
1.000	26.955
1.007	21.869
1.021	24.153
1.084	24.051
1.112	21.976
1.112	22.599
1.140	24.676
1.140	26.129
1.154	23.016
1.231	27.793
1.252	22.189
1.315	24.682
1.315	25.824
1.434	24.375
1.441	27.697
1.455	28.424
1.455	29.047
1.455	29.774
1.497	25.311
1.497	25.934
1.559	23.653
1.573	25.314
1.594	30.090
1.601	24.069
1.622	30.714
1.650	28.846
1.657	28.846
1.699	25.734
1.706	26.772
1.706	28.848
1.706	33.831
1.713	27.499
1.720	28.018
1.720	30.509
1.734	24.697
1.734	30.925
1.762	25.113
1.762	30.303
1.762	29.577
1.762	34.767
1.776	26.151
1.790	30.200
1.790	31.757
1.790	34.456
1.797	35.910
1.804	32.692
1.818	31.447
1.818	33.627
1.825	28.852
1.825	35.599
1.825	37.260
1.832	39.544
1.839	28.853
1.846	26.361
1.846	35.600
1.846	34.977
1.860	30.826
1.860	31.448
1.867	27.919
1.874	29.373
1.874	38.404
1.881	36.847
1.881	37.989
1.888	25.325
1.888	29.685
1.895	34.668
1.902	36.433
1.916	27.402
1.916	30.101
1.923	28.129
1.923	26.572
1.923	31.347
1.930	33.423
1.930	33.008
1.930	33.631
1.944	25.950
1.944	30.517
1.951	27.196
1.951	38.926
1.958	28.960
1.986	37.681
1.993	37.681
2.000	26.782
2.007	30.000
2.028	35.295
2.042	28.444
2.049	26.784
2.056	29.483
2.056	30.210
2.056	38.410
2.056	37.995
2.056	32.389
2.056	31.351
2.084	28.446
2.098	32.702
2.105	36.336
2.126	27.721
2.140	34.469
2.140	30.524
2.147	33.846
2.154	27.825
2.154	32.600
2.154	32.185
2.203	30.941
2.224	29.696
2.294	29.906
2.420	29.911
2.469	29.290
2.545	31.265
2.559	30.642
2.566	32.926
2.643	32.202
2.643	30.957
2.643	30.645
2.643	30.126
2.685	27.844
2.720	29.610
2.727	34.696
2.741	27.638
2.741	28.988
2.741	30.545
2.741	30.337
2.748	32.621
2.755	32.933
2.755	33.556
2.755	34.905
2.755	36.670
2.769	28.366
2.769	31.584
2.776	34.283
2.804	30.132
2.818	30.963
2.818	35.426
2.832	37.710
2.839	32.624
2.867	33.352
2.867	31.795
2.867	37.400
2.895	34.495
2.902	34.910
2.902	37.298
2.902	37.920
2.902	27.228
2.909	34.703
2.916	30.239
2.923	35.949
2.930	31.693
2.930	36.572
2.930	28.579
2.937	30.967
2.951	30.967
2.951	35.431
2.979	33.356
3.014	30.347
3.021	31.904
3.021	32.319
3.021	38.340
3.021	36.783
3.035	33.358
3.042	31.178
3.063	34.293
3.077	30.037
3.084	33.775
3.091	36.681
3.105	30.453
3.133	31.908
3.140	38.136
3.140	38.759
3.154	33.985
3.154	37.722
3.154	39.590
3.154	30.767
3.161	35.853
3.161	36.580
3.161	40.628
3.161	31.286
3.168	34.919
3.168	32.532
3.182	33.467
3.182	35.335
3.189	34.297
3.217	30.457
3.224	31.911
3.531	31.299
3.559	33.480
3.608	40.125
3.720	37.534
3.727	34.420
3.734	42.102
3.741	45.839
3.748	42.413
3.748	42.725
3.748	43.451
3.748	46.358
3.748	30.476
3.762	34.421
3.769	38.054
3.769	34.317
3.769	32.241
3.769	31.722
3.776	40.027
3.776	33.487
3.783	38.055
3.783	37.640
3.783	35.563
3.783	36.394
3.790	35.564
3.790	32.761
3.797	44.076
3.797	37.225
3.797	35.045
3.804	30.270
3.818	38.886
3.825	40.548
3.832	40.133
3.832	32.659
3.839	38.472
3.839	38.057
3.839	36.811
3.839	34.943
3.853	36.292
3.860	41.898
3.860	40.237
3.860	38.888
3.860	30.999
3.860	31.414
3.874	34.113
3.881	37.020
3.895	36.294
3.895	31.104
3.902	33.388
3.916	39.097
3.916	38.786
3.916	36.087
3.916	30.482
3.916	32.869
3.916	34.115
3.930	43.146
3.937	34.738
3.944	36.088
3.944	36.815
3.958	37.023
3.972	42.214
3.972	33.598
3.979	32.975
3.979	34.740
4.014	31.004
4.028	32.769
4.028	34.015
4.042	40.659
4.049	34.638
4.056	43.774
4.056	42.216
4.056	37.441
4.056	37.960
4.056	40.348
4.063	39.725
4.077	41.594
4.077	40.141
4.084	39.207
4.105	45.748
4.112	36.613
4.119	41.492
4.140	38.067
4.147	34.434
4.154	32.877
4.154	39.521
4.161	31.009
4.161	31.528
4.161	35.473
4.161	35.888
4.161	36.822
4.168	36.096
4.168	36.407
4.168	38.899
4.182	38.276
4.189	45.543
4.189	34.747
4.217	48.450
4.224	37.447
4.231	36.513
4.238	33.607
4.608	41.094
4.811	39.544
4.825	38.921
4.825	38.506
4.839	42.451
4.853	44.632
4.860	39.857
4.895	40.792
4.895	37.989
4.944	37.265
5.000	47.024
5.007	48.685
5.042	41.005
5.042	35.918
5.056	45.988
5.063	39.449
5.091	43.498
5.091	44.017
5.091	45.366
5.091	47.443
5.091	38.515
5.147	41.424];
data.tL_m(:,1) = (.75 + data.tL_m(:,1)) * 365; % convert yr to d
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(24.3);  units.temp.tL_m = 'K'; label.temp.tL_m = 'temperature';
bibkey.tL_m = 'NielThom2002';
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;

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

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

%% Links
metaData.links.id_CoL = '6C7N4'; % Cat of Life
metaData.links.id_ITIS = '169239'; % ITIS
metaData.links.id_EoL = '46578976'; % Ency of Life
metaData.links.id_Wiki = 'Cynoscion_nebulosus'; % Wikipedia
metaData.links.id_ADW = 'Cynoscion_nebulosus'; % ADW
metaData.links.id_Taxo = '172632'; % Taxonomicon
metaData.links.id_WoRMS = '159312'; % WoRMS
metaData.links.id_fishbase = 'Cynoscion-nebulosus'; % fishbase


%% References
bibkey = 'Wiki'; type = 'Misc'; bib = ...
'howpublished = {\url{http://en.wikipedia.org/wiki/Cynoscion_nebulosus}}';
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 = 'SmitMont2008'; type = 'Article'; bib = [ ... 
'doi = {10.1111/j.1095-8649.2008.01954.x}, ' ...
'author = {N. G. Smith and C. M. JOones and J. van Montfrans}, ' ... 
'year = {2008}, ' ...
'title = {Spatial and temporal variability of juvenile spotted seatrout \emph{Cynoscion nebulosus} growth in {C}hesapeake {B}ay}, ' ...
'journal = {Journal of Fish Biology}, ' ...
'volume = {73}, ' ...
'pages = {597-607}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'NielThom2002'; type = 'Article'; bib = [ ... 
'author = {David L. Nieland and R. Glenn Thomas and Charles A. Wilson}, ' ... 
'year = {2002}, ' ...
'title = {Age, Growth, and Reproduction of Spotted Seatrout in {B}arataria {B}ay, {L}ouisiana}, ' ...
'journal = {Transactions of the American Fisheries Society}, ' ...
'volume = {131}, ' ...
'pages = {245-259}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'Bort2003'; type = 'Book'; bib = [ ...  % used in setting of chemical parameters and pseudodata
'author = {Bortone, S. A.}, ' ...
'year = {2003}, ' ...
'title  = {Biology of the spotted seatrout}, ' ...
'publisher = {CRC Press}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'fishbase'; type = 'Misc'; bib = ...
'howpublished = {\url{http://www.fishbase.se/summary/Cynoscion-nebulosus.html}}';
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];

