function [data, auxData, metaData, txtData, weights] = mydata_Maurolicus_stehmanni
%% set metadata
metaData.phylum     = 'Chordata'; 
metaData.class      = 'Actinopterygii'; 
metaData.order      = 'Stomiiformes'; 
metaData.family     = 'Sternoptychidae';
metaData.species    = 'Maurolicus_stehmanni'; 
metaData.species_en = 'Stehmann''s pearlside'; 

metaData.ecoCode.climate = {'MB', 'MC'};
metaData.ecoCode.ecozone = {'MASW'};
metaData.ecoCode.habitat = {'0iMpm'};
metaData.ecoCode.embryo  = {'Mpf'};
metaData.ecoCode.migrate = {};
metaData.ecoCode.food    = {'biPz'};
metaData.ecoCode.gender  = {'D'};
metaData.ecoCode.reprod  = {'O'};

metaData.T_typical  = C2K(19.7); % in K, body temp
metaData.data_0     = {'am'; 'Lp'; 'Li'; 'Wwb'; 'Wwp'; 'Wwi'; 'Ri'}; 
metaData.data_1     = {'t-L'; 'L-Ww'}; 

metaData.COMPLETE = 2.5; % using criteria of LikaKear2011

metaData.author   = {'Bas Kooijman'};        
metaData.date_subm = [2024 08 01];                           
metaData.email    = {'bas.kooijman@vu.nl'};                 
metaData.address  = {'VU University, Amsterdam'}; 

metaData.curator     = {'Dina Lika'};
metaData.email_cur   = {'lika@uoc.gr'}; 
metaData.date_acc    = [2024 08 01];

%% set data
% zero-variate data
data.am = 1.5*365; units.am = 'd';    label.am = 'life span';              bibkey.am = 'BellHara2004';  
  temp.am = C2K(19.7); units.temp.am = 'K'; label.temp.am = 'temperature';

data.Lp = 3.8;   units.Lp = 'cm';   label.Lp = 'std length at puberty';  bibkey.Lp = 'fishbase';
data.Li = 5.2;   units.Li = 'cm';   label.Li = 'ultimate std length';    bibkey.Li = 'fishbase';

data.Wwb = 2.68e-4; units.Wwb = 'g'; label.Wwb = 'wet weight at birth';       bibkey.Wwb = 'guess';
  comment.Wwb = 'based on egg diameter of 0.8 mm of Maurolicus muelleri: pi/6*0.08^3';
data.Wwp = 0.33; units.Wwp = 'g';   label.Wwp = 'wet weight at puberty';      bibkey.Wwp = 'fishbase';  
  comment.Wwp = 'based on 0.00479*Lp^3.16, see F1';
data.Wwi = 1.8768;  units.Wwi = 'g';   label.Wwi = 'ultimate female wet weight'; bibkey.Wwi = 'fishbase';     
  comment.Wwi = 'based on LW data, 0.00479*Li^3.16, see F1, gives 0.877 g';

data.Ri  = 3500/365; units.Ri  = '#/d'; label.Ri  = 'maximum reprod rate'; bibkey.Ri  = 'guess';   
temp.Ri = C2K(3);  units.temp.Ri = 'K';  label.temp.Ri = 'temperature';
  comment.Ri = 'based on Maurolicus muelleri';

% uni-variate data
% time-length
data.tL_f = [ ... % time since birth (d), standard length (cm) 
36.856	1.927
42.766	1.909
44.201	1.704
46.658	2.233
48.740	1.430
48.921	2.148
48.933	2.062
49.669	2.831
49.753	2.233
50.902	2.062
50.931	1.857
51.152	2.284
51.681	2.523
52.037	1.993
52.268	2.352
52.616	1.874
54.246	2.284
55.357	2.386
56.439	2.694
56.530	2.044
57.913	2.215
58.728	2.420
59.290	2.420
60.990	2.334
61.586	2.095
63.517	2.368
63.779	2.505
65.186	2.504
65.777	2.299
65.791	2.197
65.813	2.043
67.462	2.316
67.710	2.555
69.739	2.128
69.970	2.487
70.850	2.230
71.682	2.316
72.192	2.692
73.245	3.204
73.540	3.102
74.192	2.469
74.238	2.144
75.861	2.606
76.058	3.204
76.084	3.016
76.173	2.383
78.020	3.255
78.359	2.845
78.676	2.588
78.993	2.332
79.541	2.434
80.359	2.622
81.710	3.015
82.285	2.930
83.410	2.929
83.956	3.049
85.141	2.622
85.372	2.981
86.836	2.570
87.088	2.775
89.587	3.014
90.115	3.253
90.212	2.570
91.835	3.031
91.851	2.911
92.457	2.604
93.001	2.740
93.166	3.561
93.467	3.424
94.373	2.979
95.744	3.236
95.763	3.099
95.794	2.877
97.376	3.629
97.549	2.398
98.566	3.167
99.040	3.799
99.612	3.731
99.660	3.389
102.497	3.218
102.536	2.944
104.457	3.286
106.919	3.781
107.828	3.320
110.357	3.336
112.574	3.575
115.401	3.472
117.608	3.780
120.955	3.984
121.941	2.976
125.174	3.984
126.862	3.984
131.055	4.171
132.558	3.487
135.251	4.342
135.369	3.504
135.919	3.589
136.705	4.000
140.127	3.674
141.439	4.341
142.803	4.648
143.990	4.204
146.248	4.152
148.775	4.186
149.316	4.340
150.253	3.673
151.852	4.305
152.662	4.545
153.838	4.185
155.187	4.595
155.831	4.014
156.161	3.672
157.173	4.476
158.034	4.356
158.940	3.911
160.306	4.202
163.640	4.492
165.304	4.663
166.004	3.688
167.586	4.440
169.812	4.611
174.056	4.439
177.424	4.490
181.701	4.079
183.923	4.284
186.425	4.489
191.222	4.386
192.304	4.693];
units.tL_f = {'d', 'cm'}; label.tL_f = {'time since birth', 'standard length', 'females'};  
temp.tL_f = C2K(19.7);  units.temp.tL_f = 'K'; label.temp.tL_f = 'temperature';
bibkey.tL_f = 'BellHara2004';
%
data.tL_m = [ ... % time since birth (d), standard length (cm) 
37.101	1.985
43.977	1.793
44.539	2.019
47.103	2.246
48.000	1.443
48.546	1.984
49.687	2.054
49.966	2.211
50.226	2.769
50.844	1.809
51.393	2.298
52.838	1.984
53.099	2.524
54.532	2.454
54.541	2.280
57.097	2.681
57.414	2.036
58.539	2.437
58.553	2.140
60.826	2.471
61.407	2.297
61.414	2.140
63.123	2.314
64.829	2.541
65.703	2.209
65.712	2.017
65.996	2.070
67.988	2.296
68.834	2.540
70.000	2.104
70.837	2.558
71.138	2.226
71.975	2.680
72.277	2.348
73.378	3.255
73.414	2.505
74.244	3.098
75.676	3.081
75.721	2.121
75.954	3.238
76.270	2.627
76.852	2.418
77.099	3.237
78.269	2.697
78.549	2.819
80.563	2.592
80.864	2.278
81.402	2.993
81.430	2.417
81.976	2.958
83.403	3.045
85.139	2.644
85.697	2.940
86.575	2.521
87.418	2.835
88.839	3.045
90.004	2.608
90.834	3.201
91.126	3.097
92.563	2.957
92.578	2.643
92.827	3.410
93.430	2.765
93.681	3.515
95.131	3.096
96.002	2.835
97.128	3.236
97.452	2.433
97.683	3.584
98.843	3.253
99.679	3.741
99.960	3.828
101.122	3.462
101.717	2.991
102.566	3.183
103.709	3.218
105.135	3.322
106.852	3.322
107.116	3.775
109.141	3.322
110.859	3.287
112.848	3.583
116.574	3.443
118.560	3.792
121.698	4.001
123.177	2.972
125.129	4.053
126.562	4.001
131.129	4.227
133.166	3.512
135.741	3.511
136.557	4.401
136.881	3.598
137.720	4.017
140.882	3.703
141.711	4.313
142.838	4.697
144.004	4.226
146.294	4.208
150.009	4.312
150.300	4.208
150.609	3.719
152.858	4.574
153.442	4.312
154.591	4.225
156.576	4.608
156.604	4.015
157.190	3.719
158.297	4.521
159.444	4.451
159.469	3.945
161.172	4.224
164.878	4.503
165.727	4.695
167.167	4.503
167.778	3.700
171.455	4.590
174.320	4.502
178.324	4.537
182.638	4.083
184.629	4.327
187.480	4.553
191.490	4.448
193.481	4.710];
units.tL_m = {'d', 'cm'}; label.tL_m = {'time since birth', 'standard length', 'males'};  
temp.tL_m = C2K(19.7);  units.temp.tL_m = 'K'; label.temp.tL_m = 'temperature';
bibkey.tL_m = 'BellHara2004';

% length-weight
data.LW = [ ... standard length (cm), weight (g)
1.202	0.051
1.369	0.067
1.394	0.038
1.458	0.068
1.516	0.068
1.554	0.101
1.573	0.109
1.573	0.084
1.586	0.188
1.586	0.047
1.586	0.047
1.624	0.080
1.656	0.105
1.695	0.068
1.701	0.093
1.727	0.168
1.733	0.126
1.752	0.059
1.759	0.122
1.765	0.084
1.778	0.051
1.791	0.143
1.804	0.084
1.816	0.109
1.880	0.097
1.887	0.105
1.899	0.147
1.900	0.060
1.906	0.139
1.951	0.122
1.989	0.168
1.989	0.109
1.989	0.105
1.989	0.080
1.995	0.247
1.995	0.155
2.002	0.189
2.002	0.143
2.066	0.151
2.078	0.201
2.079	0.072
2.085	0.193
2.085	0.180
2.085	0.126
2.091	0.105
2.161	0.222
2.180	0.251
2.187	0.189
2.187	0.122
2.193	0.180
2.200	0.164
2.200	0.155
2.264	0.193
2.270	0.293
2.276	0.239
2.276	0.218
2.283	0.151
2.289	0.176
2.302	0.284
2.302	0.259
2.309	0.197
2.327	0.284
2.340	0.210
2.347	0.168
2.347	0.147
2.360	0.243
2.372	0.251
2.373	0.189
2.385	0.305
2.385	0.218
2.392	0.255
2.392	0.197
2.398	0.276
2.423	0.309
2.436	0.255
2.437	0.176
2.456	0.210
2.475	0.284
2.481	0.230
2.481	0.147
2.494	0.326
2.494	0.176
2.506	0.355
2.507	0.268
2.507	0.205
2.513	0.305
2.519	0.243
2.564	0.168
2.577	0.206
2.583	0.355
2.590	0.289
2.596	0.318
2.596	0.251
2.602	0.380
2.603	0.239
2.622	0.285
2.679	0.380
2.692	0.447
2.692	0.422
2.692	0.364
2.692	0.206
2.699	0.226
2.705	0.251
2.711	0.335
2.711	0.310
2.711	0.280
2.775	0.360
2.775	0.301
2.782	0.202
2.788	0.439
2.788	0.384
2.788	0.322
2.794	0.472
2.794	0.422
2.801	0.360
2.801	0.276
2.807	0.335
2.813	0.405
2.858	0.314
2.864	0.501
2.871	0.459
2.871	0.347
2.871	0.310
2.877	0.401
2.877	0.380
2.883	0.509
2.883	0.434
2.897	0.268
2.903	0.360
2.903	0.243
2.922	0.484
2.922	0.455
2.922	0.372
2.929	0.322
2.935	0.414
2.947	0.513
2.954	0.301
2.961	0.347
2.967	0.430
2.967	0.397
2.973	0.339
2.986	0.360
2.992	0.597
2.992	0.559
2.992	0.455
2.993	0.247
3.005	0.389
3.011	0.493
3.012	0.389
3.012	0.347
3.024	0.580
3.024	0.547
3.024	0.426
3.024	0.372
3.030	0.501
3.037	0.447
3.037	0.430
3.037	0.297
3.038	0.260
3.050	0.252
3.063	0.401
3.081	0.680
3.082	0.381
3.088	0.630
3.095	0.422
3.095	0.356
3.101	0.559
3.107	0.572
3.107	0.530
3.107	0.476
3.107	0.430
3.108	0.318
3.113	0.593
3.114	0.484
3.114	0.281
3.126	0.713
3.126	0.455
3.145	0.605
3.146	0.505
3.165	0.522
3.183	0.817
3.190	0.638
3.190	0.626
3.190	0.613
3.191	0.389
3.196	0.584
3.196	0.572
3.197	0.514
3.197	0.501
3.197	0.468
3.197	0.447
3.197	0.447
3.202	0.717
3.202	0.709
3.202	0.692
3.209	0.771
3.209	0.672
3.209	0.672
3.209	0.551
3.215	0.730
3.215	0.730
3.286	0.688
3.286	0.439
3.291	0.913
3.291	0.859
3.292	0.780
3.293	0.389
3.298	0.709
3.299	0.618
3.299	0.597
3.299	0.464
3.299	0.447
3.299	0.431
3.305	0.530
3.305	0.501
3.305	0.497
3.311	0.734
3.311	0.655
3.312	0.576
3.312	0.564
3.331	0.643
3.375	0.697
3.375	0.643
3.388	0.805
3.388	0.797
3.388	0.772
3.394	0.834
3.394	0.730
3.395	0.514
3.395	0.460
3.401	0.709
3.401	0.593
3.401	0.584
3.401	0.551
3.401	0.539
3.407	0.755
3.407	0.680
3.407	0.630
3.414	0.693
3.414	0.485
3.451	0.996
3.457	0.967
3.464	1.038
3.465	0.705
3.477	0.855
3.477	0.805
3.477	0.730
3.478	0.647
3.478	0.410
3.484	0.684
3.484	0.605
3.490	0.776
3.490	0.738
3.491	0.589
3.491	0.551
3.491	0.535
3.491	0.510
3.496	0.784
3.497	0.697
3.497	0.643
3.497	0.451
3.503	0.743
3.503	0.614
3.510	0.572
3.515	0.830
3.522	0.797
3.535	0.734
3.547	0.917
3.547	0.884
3.554	0.768
3.554	0.709
3.554	0.672
3.555	0.572
3.560	1.005
3.560	0.776
3.561	0.605
3.567	0.867
3.567	0.743
3.567	0.738
3.567	0.643
3.573	0.801
3.580	0.684
3.586	0.826
3.592	0.984
3.592	0.855
3.593	0.460
3.599	0.580
3.600	0.501
3.612	0.768
3.612	0.647
3.612	0.597
3.618	0.851
3.624	0.901
3.624	0.867
3.624	0.743
3.625	0.726
3.625	0.705
3.625	0.676
3.625	0.630
3.625	0.614
3.631	0.805
3.638	0.576
3.643	1.046
3.644	0.626
3.644	0.610
3.650	0.759
3.650	0.714
3.650	0.655
3.657	0.705
3.663	0.855
3.663	0.801
3.663	0.734
3.663	0.676
3.669	0.822
3.675	0.934
3.682	0.880
3.683	0.585
3.688	0.772
3.694	0.992
3.696	0.539
3.701	0.884
3.701	0.747
3.707	0.842
3.707	0.818
3.708	0.780
3.708	0.743
3.708	0.651
3.713	0.959
3.714	0.859
3.714	0.801
3.714	0.668
3.714	0.635
3.714	0.614
3.719	1.125
3.719	1.071
3.720	0.892
3.721	0.709
3.726	1.009
3.727	0.605
3.732	0.980
3.733	0.917
3.734	0.564
3.777	0.922
3.790	0.996
3.790	0.867
3.790	0.851
3.791	0.830
3.791	0.801
3.791	0.776
3.791	0.718
3.792	0.468
3.792	0.452
3.796	1.038
3.797	0.768
3.797	0.734
3.797	0.734
3.797	0.685
3.797	0.660
3.797	0.651
3.802	1.088
3.804	0.614
3.804	0.568
3.809	1.030
3.809	0.967
3.810	0.888
3.810	0.751
3.816	1.013
3.821	1.159
3.822	0.955
3.822	0.905
3.885	1.146
3.886	1.038
3.886	1.026
3.892	0.959
3.893	0.938
3.893	0.922
3.893	0.917
3.893	0.897
3.893	0.872
3.893	0.830
3.893	0.814
3.893	0.768
3.893	0.701
3.898	1.113
3.898	1.096
3.899	0.972
3.899	0.843
3.900	0.755
3.900	0.618
3.905	1.080
3.906	0.801
3.906	0.730
3.912	0.988
3.970	0.826
3.976	0.976
3.976	0.834
3.976	0.772
3.976	0.735
3.976	0.685
3.981	1.171
3.982	1.059
3.982	0.951
3.982	0.938
3.982	0.847
3.988	1.192
3.988	1.030
3.989	0.922
3.989	0.909
3.989	0.901
3.989	0.893
3.989	0.876
3.989	0.805
3.994	1.088
3.995	1.013
3.995	0.997
4.001	1.150
4.013	1.117
4.059	0.980
4.065	1.138
4.065	1.063
4.065	1.009
4.065	0.893
4.071	1.055
4.071	1.017
4.072	0.951
4.077	1.375
4.077	1.159
4.084	1.200
4.084	1.105
4.084	1.076
4.090	1.279
4.090	1.225
4.091	0.760
4.097	0.872
4.098	0.839
4.103	1.117
4.104	0.810
4.110	1.051
4.110	1.013
4.116	1.063
4.116	0.972
4.116	0.922
4.129	1.142
4.141	1.288
4.142	1.017
4.142	0.943
4.147	1.246
4.154	1.188
4.160	1.221
4.167	1.159
4.173	1.279
4.179	1.321
4.180	1.188
4.186	1.213
4.186	1.138
4.186	1.113
4.186	1.088
4.186	1.072
4.186	1.051
4.186	1.030
4.193	0.968
4.193	0.918
4.193	0.855
4.198	1.425
4.199	1.001
4.199	0.988
4.200	0.947
4.219	0.756
4.231	1.254
4.237	1.317
4.237	1.296
4.244	1.072
4.250	1.213
4.250	1.200
4.250	1.184
4.250	1.097
4.250	1.055
4.256	1.163
4.256	1.138
4.263	1.026
4.288	1.350
4.289	1.047
4.295	1.117
4.295	1.092
4.295	1.030
4.295	0.993
4.301	1.317
4.301	1.296
4.301	1.271
4.307	1.234
4.307	1.205
4.308	1.155
4.308	1.142
4.308	1.084
4.308	0.947
4.314	1.130
4.314	1.063
4.320	1.259
4.320	1.242
4.320	1.176
4.321	1.072
4.332	1.471
4.384	1.284
4.384	1.246
4.389	1.583
4.390	1.529
4.390	1.487
4.390	1.354
4.390	1.334
4.396	1.542
4.397	1.317
4.397	1.221
4.397	1.192
4.397	1.176
4.397	1.101
4.398	1.034
4.403	1.296
4.404	1.167
4.409	1.463
4.409	1.433
4.409	1.396
4.410	1.155
4.410	1.138
4.410	1.130
4.410	1.080
4.416	1.384
4.485	1.575
4.492	1.483
4.492	1.433
4.493	1.292
4.493	1.184
4.493	1.167
4.493	1.151
4.493	1.076
4.499	1.400
4.499	1.363
4.499	1.321
4.499	1.226
4.499	1.192
4.505	1.554
4.506	1.275
4.506	1.263
4.506	1.251
4.506	1.242
4.506	1.209
4.569	1.579
4.575	1.550
4.575	1.492
4.575	1.454
4.582	1.429
4.582	1.400
4.582	1.379
4.582	1.313
4.583	1.205
4.588	1.359
4.589	1.284
4.589	1.242
4.589	1.176
4.594	1.517
4.595	1.342
4.665	1.375
4.671	1.434
4.677	1.604
4.683	1.629
4.684	1.504
4.684	1.450
4.697	1.355
4.697	1.330
4.703	1.571
4.703	1.546
4.703	1.525
4.754	1.488
4.755	1.388
4.766	1.812
4.773	1.529
4.779	1.633
4.780	1.579
4.780	1.538
4.780	1.471
4.780	1.438
4.876	1.575
4.882	1.667
4.882	1.425
4.888	1.600
4.889	1.467
4.894	1.737
4.971	1.808
4.991	1.521
5.068	1.471
5.099	1.862];
units.LW = {'cm', 'g'}; label.LW = {'standard length', 'weight'};  
bibkey.LW = 'AlmeRoss2007';

%% set weights for all real data
weights = setweights(data, []);
weights.tL_f = 3 * weights.tL_f;
weights.tL_m = 3 * weights.tL_m;
weights.Wwb = 5 * weights.Wwb;

%% 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';
metaData.discussion = struct('D1',D1);  

%% Facts
F1 = 'length-weight: Ww in g = 0.00479*(TL in cm)^3.16';
metaData.bibkey.F1 = 'fishbase'; 
metaData.facts = struct('F1',F1);

%% Links
metaData.links.id_CoL = '3YG5K'; % Cat of Life
metaData.links.id_ITIS = '622553'; % ITIS
metaData.links.id_EoL = '46563290'; % Ency of Life
metaData.links.id_Wiki = 'Maurolicus_stehmanni'; % Wikipedia
metaData.links.id_ADW = 'Maurolicus_stehmanni'; % ADW
metaData.links.id_Taxo = '179653'; % Taxonomicon
metaData.links.id_WoRMS = '274978'; % WoRMS
metaData.links.id_fishbase = 'Maurolicus-muelleri'; % fishbase

%% References
bibkey = 'Wiki'; type = 'Misc'; bib = ...
'howpublished = {\url{http://en.wikipedia.org/wiki/Maurolicus_stehmanni}}';
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 = 'BellHara2004'; type = 'article'; bib = [ ...
'author = {Andre Bellucco and Ana Hara and Eduardo Machado Almeida and Carmen Lucia Del Bianco Rossi-Wongtschowski}, ' ... 
'year   = {2004}, ' ...
'title  = {GROWTH PARAMETERS ESTIMATES OF \emph{Maurolicus stehmanni} {P}ARIN \& {K}OBYLIANSKY 1996 ({T}ELEOSTEI, {S}TERNOPTICHYDAE) FROM {S}OUTH AND {S}OUTHEASTERN {B}RAZILIAN WATERS}, ' ...
'journal = {Brazilian Journal of Oceanography}, ' ...
'page = {195-205}, ' ...
'volume = {52(3/4)}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'AlmeRoss2007'; type = 'article'; bib = [ ...
'author = {Eduardo Machado de Almeida and Carmen Lucia del Bianco Rossi-Wongtschowski}, ' ... 
'year   = {2007}, ' ...
'title  = {\emph{Maurolicus stehmanni} {P}ARIN \& {K}OBYLIANSKY, 1993 ({S}TERNOPTYCHIDAE): LENGTH OF FIRST MATURATION, AND SPAWNING SEASONS IN THE {S}OUTH-{S}OUTHEAST {B}RAZILIAN REGION }, ' ...
'journal = {Brazilian Journal of Oceanography}, ' ...
'page = {309-322}, ' ...
'volume = {55(4)}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'fishbase'; type = 'Misc'; bib = ...
'howpublished = {\url{https://www.fishbase.se/summary/Maurolicus-stehmanni.html}}';
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];

