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

%% set metaData
metaData.phylum     = 'Chordata'; 
metaData.class      = 'Actinopterygii'; 
metaData.order      = 'Zeiformes'; 
metaData.family     = 'Cyttidae';
metaData.species    = 'Cyttus_traversi'; 
metaData.species_en = 'King dory'; 

metaData.ecoCode.climate = {'MC'};
metaData.ecoCode.ecozone = {'MASE','MIS','MPS'};
metaData.ecoCode.habitat = {'0iMc'};
metaData.ecoCode.embryo  = {'Mp'};
metaData.ecoCode.migrate = {'Mo'};
metaData.ecoCode.food    = {'bpPz', 'bpCi'};
metaData.ecoCode.gender  = {'D'};
metaData.ecoCode.reprod  = {'O'};

metaData.T_typical  = C2K(8.3); % K, body temp
metaData.data_0     = {'ab'; 'am'; 'Lp'; 'Li'; 'Wwb'; 'Wwp'; 'Wwi'; 'GSI'}; 
metaData.data_1     = {'t-L'}; 

metaData.COMPLETE = 2.5; % using criteria of LikaKear2011

metaData.author   = {'Bas Kooijman'};        
metaData.date_subm = [2024 08 12];                           
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 12];

%% set data
% zero-variate data

data.ab = 17;        units.ab = 'd';    label.ab = 'age at birth';              bibkey.ab = 'guess';   
  temp.ab = C2K(8.3); units.temp.ab = 'K'; label.temp.ab = 'temperature';
data.am = 38*365;    units.am = 'd';    label.am = 'life span';                 bibkey.am = 'TracHorn2007';   
  temp.am = C2K(8.3); units.temp.am = 'K'; label.temp.am = 'temperature'; 

data.Lp  = 21.6;     units.Lp  = 'cm';  label.Lp  = 'total length at puberty';  bibkey.Lp  = 'fishbase'; 
data.Li  = 63;       units.Li  = 'cm';  label.Li  = 'ultimate total 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 : pi/6*0.08^3';
data.Wwp = 196.5;  units.Wwp = 'g'; label.Wwp = 'wet weight at puberty';     bibkey.Wwp = 'fishbase';
  comment.Wwp = 'based on 0.01950*Lp^3.00, see F1';
data.Wwi = 5e3;  units.Wwi = 'g'; label.Wwi = 'ultimate wet weight';     bibkey.Wwi = 'fishbase';
  comment.Wwi = 'based on 0.01950*Li^3.00, see F1';

data.GSI  = 0.0348;  units.GSI  = 'g/g';  label.GSI  = 'gonado somatic index';    bibkey.GSI  = 'guess';   
temp.GSI = C2K(8.3);  units.temp.GSI = 'K'; label.temp.GSI = 'temperature';
  comment.GSI = 'based on Zeus faber'; 

% uni-variate data

% length-weight
data.LW_f = [ ... % total length (cm), wet weight (g) for females
11.644	81.306
12.129	62.083
12.776	120.432
13.100	43.017
13.504	91.597
13.989	23.925
14.394	91.884
14.879	43.592
14.960	169.586
15.526	101.940
16.173	73.079
16.173	92.459
16.334	170.030
17.143	83.082
17.628	209.208
17.628	102.619
18.275	122.208
18.356	160.993
18.518	190.116
18.679	102.959
19.164	209.705
19.164	112.805
19.326	141.928
19.811	151.773
19.973	248.726
20.377	161.646
20.620	278.004
20.943	113.380
21.105	229.712
21.267	181.314
21.429	258.885
21.914	171.832
22.156	297.880
22.480	172.015
22.561	336.771
22.561	210.802
23.046	269.097
23.450	327.368
23.450	356.437
23.612	211.141
23.693	278.996
23.774	356.542
24.016	259.721
24.420	230.782
24.420	337.372
24.420	395.511
24.582	298.664
24.906	405.357
25.148	260.086
25.229	453.912
25.229	366.702
25.310	298.899
25.714	299.029
25.876	463.810
25.957	492.906
26.119	289.470
26.280	405.801
26.442	483.373
26.604	347.767
27.089	532.032
27.251	406.115
27.412	357.717
27.736	551.621
27.898	551.673
27.898	416.014
27.898	590.432
28.059	454.826
28.140	435.472
28.464	387.127
28.544	600.331
28.868	484.156
29.191	426.122
29.353	513.383
29.434	639.379
29.515	590.954
30.000	658.941
30.081	542.688
30.081	465.168
30.162	746.203
30.404	416.823
30.566	756.023
30.647	639.770
30.647	407.212
30.647	504.111
30.970	455.766
31.213	591.503
31.294	765.947
31.294	765.947
31.294	494.630
31.294	688.428
31.617	523.804
31.779	630.446
31.941	824.297
32.022	853.393
32.102	688.689
32.426	659.725
32.507	795.409
32.749	776.108
32.911	882.749
32.992	601.768
33.234	718.125
33.315	921.640
33.315	621.252
33.477	650.375
33.558	882.958
33.558	776.369
33.881	950.893
33.881	1009.032
34.124	980.040
34.124	689.342
34.124	766.861
34.124	514.924
34.205	757.199
34.367	1125.468
34.447	660.378
34.528	844.512
34.690	1009.293
34.771	951.180
35.013	689.630
35.094	602.447
35.175	1019.140
35.256	825.367
35.256	931.957
35.337	776.943
35.418	844.800
35.580	1077.409
35.580	718.883
35.580	1174.308
35.660	651.080
35.741	873.973
35.984	1038.781
36.065	1145.396
36.307	912.916
36.307	699.738
36.388	1164.881
36.550	980.823
36.631	1126.199
36.631	1213.408
36.631	787.051
36.712	1126.225
36.954	1291.032
37.116	913.177
37.197	1232.971
37.358	1010.155
37.358	1058.605
37.439	874.522
37.520	1184.625
37.682	1349.407
37.844	971.551
37.844	1456.048
38.005	1107.263
38.005	1562.690
38.086	1339.848
38.086	806.901
38.086	1242.948
38.248	1291.450
38.248	1175.170
38.248	806.954
38.491	1291.528
38.571	1010.547
38.733	1136.568
38.814	778.066
38.895	1349.799
38.895	1146.310
39.137	1417.706
39.218	1437.112
39.218	1127.035
39.218	1243.314
39.218	1049.516
39.299	1301.479
39.380	1320.885
39.380	1311.195
39.542	1078.689
39.623	1640.731
39.704	1534.168
39.865	1417.941
39.865	1282.282
39.865	1166.004
40.108	1398.640
40.108	1456.780
40.189	952.930
40.350	1214.610
40.593	1204.998
40.755	1534.508
40.755	1331.019
40.836	1621.743
41.078	1641.202
41.159	1340.840
41.321	1457.172
41.402	1718.825
41.644	1554.175
41.806	1399.188
41.887	1738.362
42.049	1680.275
42.049	1438.027
42.210	1835.366
42.453	1331.568
42.534	1447.873
42.776	2039.037
42.776	1893.687
42.776	1602.990
42.776	1525.471
43.019	1922.836
43.019	1709.657
43.019	1641.828
43.019	1244.542
43.100	1855.033
43.100	1971.312
43.100	1457.746
43.181	1506.221
43.181	1796.919
43.423	1564.440
43.504	1690.434
43.666	1893.975
43.666	1913.355
43.989	1729.351
43.989	1613.072
44.070	2165.424
44.070	2029.765
44.151	2494.908
44.232	1952.298
44.313	1584.106
44.394	1777.932
44.394	1584.132
44.555	2000.851
44.636	2097.776
44.717	1526.098
44.717	1700.516
44.960	2030.052
44.960	1904.083
45.040	1845.970
45.040	973.876
45.121	1642.507
45.202	2175.480
45.202	2311.138
45.202	1865.402
45.606	2059.331
45.606	2156.230
45.687	2098.116
45.687	1904.318
45.930	1952.846
46.011	2214.500
46.011	2078.842
46.173	2340.521
46.334	2544.062
46.415	2185.561
46.577	2030.574
46.658	2263.159
46.739	1865.898
46.739	1778.689
46.819	2156.622
46.900	2389.207
46.981	2602.410
47.062	2069.491
47.062	1991.971
47.062	1710.963
47.385	2108.355
47.547	2447.555
47.547	2350.655
47.547	1837.089
47.628	2195.642
47.790	2089.106
47.871	1924.403
47.951	2767.452
48.032	2534.920
48.032	2418.641
48.032	1895.385
48.194	2980.709
48.275	2845.076
48.598	2321.925
48.598	1973.088
48.679	2612.648
49.003	2186.397
49.084	2525.570
49.407	2690.404
49.488	2884.228
49.488	2360.972
49.650	2235.055
49.650	2080.017
49.730	2738.957
49.730	2457.950
49.811	2787.433
49.811	2273.868
50.135	3039.475
50.135	3107.305
50.216	2264.308
50.539	2613.249
50.701	2942.759
50.701	2739.271
50.701	1867.178
50.782	2535.808
50.863	2623.044
51.105	2845.990
51.105	3146.378
51.509	2729.842
51.752	2691.161
51.995	3078.836
52.075	2788.164
52.318	2788.243
52.399	2187.494
52.722	2565.505
52.803	3311.655
53.612	3234.397
53.774	3592.976
54.097	3060.135
54.744	3612.670
55.472	3680.734
55.795	3768.048
57.251	3313.092
59.030	4369.868];
units.LW_f = {'cm', 'g'};  label.LW_f = {'total length', 'wet weight', 'female'};  
bibkey.LW_f = 'TracHorn2007';
comment.LW_f = 'Data for females';
% males
data.LW_m = [ ... % total length (cm), wet weight (g) for males
11.457	32.392
11.658	8.953
11.928	38.130
12.198	26.371
12.602	49.668
12.871	26.213
13.209	72.917
13.411	26.087
13.816	61.080
14.016	2.554
14.354	49.258
14.760	84.251
14.826	37.452
15.164	90.004
15.434	101.637
15.702	54.791
16.175	101.464
16.242	66.361
16.445	113.096
16.850	136.393
16.915	48.659
17.118	83.699
17.186	130.467
17.522	77.757
17.524	136.236
17.793	130.325
18.129	71.767
18.129	112.702
18.332	118.503
18.333	159.439
18.535	165.239
18.803	112.545
18.873	211.944
19.073	130.026
19.142	188.489
19.207	94.907
19.345	241.073
19.613	153.291
19.884	205.859
20.084	141.485
20.355	211.597
20.421	129.710
20.760	234.894
20.826	147.159
20.893	158.840
21.030	234.831
21.230	158.761
21.567	146.986
21.569	246.401
21.704	263.913
21.905	211.234
22.174	181.932
22.311	275.467
22.447	310.523
22.579	205.229
22.647	228.605
22.985	287.005
23.118	181.711
23.119	257.734
23.120	310.365
23.454	181.632
23.523	245.944
23.660	339.479
23.793	234.185
23.929	286.784
24.196	199.003
24.199	345.201
24.534	239.859
24.805	327.515
24.807	385.994
24.807	397.690
24.874	385.978
24.939	286.548
25.006	239.749
25.344	309.845
25.346	397.564
25.347	450.195
25.350	561.306
25.412	350.765
25.682	339.006
25.747	239.576
25.751	415.013
25.953	420.814
26.017	280.448
26.154	362.287
26.355	309.609
26.359	496.742
26.493	449.927
26.624	309.546
26.626	368.025
26.830	461.544
26.901	619.423
26.962	327.011
27.166	414.682
27.168	514.097
27.168	519.945
27.368	414.635
27.369	473.114
27.371	531.593
27.502	361.972
27.504	461.387
27.641	572.466
27.707	496.427
27.977	537.299
28.041	385.238
28.042	414.477
28.181	589.883
28.245	443.670
28.514	426.063
28.517	566.413
28.583	507.918
28.851	443.528
28.852	496.159
28.988	525.367
28.989	583.846
29.057	613.070
29.121	449.313
29.325	542.832
29.325	554.528
29.326	560.376
29.593	449.202
29.597	624.640
29.661	495.970
29.665	653.864
29.797	548.570
30.204	677.129
30.403	525.036
30.404	554.276
30.407	694.626
30.473	636.131
30.537	478.221
30.740	548.349
30.743	659.459
30.944	600.933
31.016	840.682
31.076	489.791
31.082	758.795
31.216	723.676
31.280	559.919
31.352	758.732
31.482	548.175
31.483	594.959
31.483	630.046
31.485	688.526
31.615	507.209
31.624	869.780
31.689	787.893
31.751	530.569
31.754	670.919
32.023	635.768
32.093	770.255
32.157	606.497
32.160	740.999
32.228	764.375
32.293	682.489
32.430	793.568
32.432	852.047
32.562	629.794
32.564	723.361
32.835	822.713
32.905	904.568
32.970	822.681
32.971	869.464
33.107	916.216
33.169	664.740
33.170	729.067
33.172	787.546
33.304	699.796
33.370	612.061
33.507	705.597
33.509	787.468
33.575	752.364
33.645	845.915
33.647	945.330
33.713	875.139
33.778	804.948
33.989	1167.472
34.113	693.759
34.185	910.116
34.249	734.663
34.317	763.887
34.322	997.804
34.385	798.958
34.454	880.813
34.590	950.957
34.721	769.640
34.723	851.511
34.855	740.369
34.930	1073.685
35.061	892.368
35.131	1021.006
35.265	991.735
35.328	804.586
35.330	863.065
35.334	1056.046
35.399	933.224
35.534	974.128
35.602	974.112
35.734	874.666
35.803	944.825
35.866	728.436
35.872	1014.985
35.873	1055.920
35.936	880.467
36.210	1044.146
36.615	1073.291
36.680	991.404
36.818	1137.571
36.953	1137.539
37.084	962.070
37.086	1073.180
37.220	1038.061
37.493	1160.804
37.556	997.047
37.826	1020.375
37.831	1225.053
37.895	1084.687
38.235	1213.262
38.303	1219.095
38.366	1055.337
38.369	1189.839
38.501	1067.001
38.844	1318.383
43.502	1703.258];
units.LW_m = {'cm', 'g'};  label.LW_m = {'total length', 'wet weight', 'male'};  
bibkey.LW_m = 'TracHorn2007';
comment.LW_m = 'Data for males';

% time-length
data.tL_f = [ ... % time since hatch (yr), total length (cm)
0.815	13.745
1.766	18.199
1.766	16.785
1.902	13.756
2.037	14.969
2.784	18.815
2.852	22.452
2.988	17.403
3.124	16.597
3.803	16.603
3.871	22.463
3.939	18.221
4.007	19.232
4.822	16.614
4.958	15.807
5.025	25.101
5.025	24.495
5.025	23.080
5.025	20.454
5.025	20.050
5.093	19.445
5.840	26.523
5.908	22.281
5.976	20.868
6.044	23.495
6.044	19.656
6.044	18.646
6.927	21.281
6.995	29.161
7.063	19.263
7.063	28.151
7.131	23.506
7.199	24.921
7.199	27.143
7.878	23.513
8.014	30.989
8.014	30.181
8.014	26.141
8.014	25.131
8.014	22.100
8.081	26.950
8.149	19.678
8.829	23.725
8.829	25.341
8.829	26.957
8.829	28.371
8.896	21.099
8.896	22.917
8.964	18.878
8.964	30.595
8.964	32.817
9.032	31.000
9.915	29.796
9.983	34.444
10.051	25.757
10.934	32.635
10.934	33.241
10.934	34.049
10.934	35.463
11.002	24.757
11.002	30.413
11.952	38.908
12.020	36.888
12.020	35.878
12.020	26.989
12.088	20.121
12.835	30.634
12.835	35.887
12.835	37.705
12.971	28.615
12.971	40.534
13.039	27.202
13.786	43.573
13.854	33.271
13.854	30.846
13.922	36.908
13.922	34.281
13.990	35.090
13.990	32.262
14.058	27.616
14.805	42.775
15.008	30.454
15.008	31.262
15.076	40.354
15.823	36.119
15.959	37.332
15.959	38.140
15.959	39.352
16.095	45.414
16.910	36.736
16.910	36.130
16.910	42.392
16.910	43.402
16.910	48.251
16.910	31.685
16.910	31.079
16.978	41.181
17.046	47.242
17.793	40.785
17.861	53.715
17.861	46.038
17.997	42.605
17.997	38.565
18.744	46.047
18.879	42.008
18.947	43.827
18.947	47.059
19.966	44.039
19.966	35.150
20.102	47.475
20.170	42.223
20.238	50.507
20.238	45.658
20.849	38.190
20.917	42.635
20.985	43.444
20.985	50.110
21.121	41.021
21.121	47.687
21.868	41.634
21.935	50.120
21.935	32.544
22.003	51.535
22.003	50.929
22.003	46.686
22.003	45.878
22.818	34.775
22.886	44.473
22.886	45.079
22.954	50.938
22.954	54.373
23.905	38.423
23.973	55.393
23.973	49.736
23.973	46.504
24.041	45.899
24.788	44.694
24.924	56.009
25.059	47.525
25.942	42.484
26.010	49.555
26.078	47.737
26.146	50.970
26.146	45.516
26.961	51.585
28.930	48.574
28.930	42.514
28.998	47.161
29.949	48.787
31.986	54.868
35.042	59.747];
data.tL_f(:,1) = (0.8+data.tL_f(:,1)) * 365; % convert yr to d
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 hatch', 'total length', 'female'};  
temp.tL_f = C2K(8.3); units.temp.tL_f = 'K'; label.temp.tL_f = 'temperature';
bibkey.tL_f = 'TracHorn2007';
comment.tL_f = 'Data for females';
% males
data.tL_m = [ ... % time since hatch (yr), total length (cm)
1.172	12.489
1.174	14.100
1.855	14.103
1.994	15.916
2.126	12.292
2.131	16.923
2.203	19.742
2.945	13.102
2.946	14.712
2.947	15.115
2.949	17.129
3.020	19.344
3.769	18.743
3.904	17.939
3.969	15.523
4.039	16.731
4.112	21.161
5.004	26.401
5.061	16.737
5.063	18.146
5.064	19.153
5.065	20.361
5.066	21.166
5.068	22.576
5.196	15.529
5.206	23.986
6.014	15.936
6.153	18.151
6.219	16.541
6.223	20.165
6.293	21.374
6.294	22.380
6.295	23.387
6.297	24.998
6.982	27.820
7.106	17.351
7.107	18.156
7.177	19.566
7.178	20.371
7.178	20.774
7.179	21.378
7.180	22.385
7.183	25.002
8.067	23.597
8.067	23.597
8.140	27.423
8.212	30.645
8.342	25.612
8.954	24.206
9.014	17.360
9.023	24.810
9.081	16.354
9.099	32.260
9.160	26.019
9.166	31.254
9.230	27.831
9.976	24.211
9.977	25.218
9.977	25.419
9.979	26.627
10.050	29.044
10.108	20.587
10.119	30.252
10.864	26.430
10.929	23.410
10.930	24.417
12.022	25.631
12.087	23.215
12.092	27.644
12.093	28.248
12.095	29.658
13.113	26.643
13.184	28.657
13.998	26.043
14.073	31.279
14.206	28.662
14.207	29.668
14.961	33.900
15.026	30.881
15.028	32.491
15.032	36.518
15.088	25.646
15.099	35.109
15.159	28.264
15.160	29.069
15.164	31.888
16.044	27.262
16.115	29.879
16.117	31.490
16.186	32.497
16.188	33.705
16.994	23.642
17.076	35.522
17.137	29.482
17.891	33.714
17.966	39.553
18.029	35.124
18.842	30.497
18.977	29.290
20.138	32.114
20.139	32.920
20.140	33.927
20.341	30.706
21.022	30.307
21.024	32.119
21.029	36.146
21.094	33.931
22.185	33.937
22.254	35.347
23.138	33.136
23.141	36.358
23.892	37.570
24.026	35.355
24.098	38.376
26.074	38.185
26.202	31.340
26.886	33.356
27.157	31.747
27.164	38.593
27.299	36.781
27.300	37.989
28.047	36.181
28.114	34.571
28.453	33.566
29.205	35.784
31.250	35.996
31.251	37.204
33.089	35.401
34.114	37.621
38.066	37.641
38.200	35.830];
data.tL_m(:,1) = (0.8+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 hatch', 'total length', 'male'};  
temp.tL_m = C2K(8.3); units.temp.tL_m = 'K'; label.temp.tL_m = 'temperature';
bibkey.tL_m = 'TracHorn2007';
comment.tL_m = 'Data for males';

%% set weights for all real data
weights = setweights(data, []);
weights.ab = 0 * weights.ab;

%% 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'};
set2 = {'LW_f','LW_m'}; subtitle2 = {'Data for females, males'};
metaData.grp.sets = {set1,set2};
metaData.grp.subtitle = {subtitle1,subtitle2};

%% Discussion points
D1 = 'Males are assumed to differ from females by {p_Am} only';
metaData.discussion = struct('D1',D1);

%% Facts
F1 = 'length-weight: Ww in g = 0.01950*(TL in cm)^3.00';
metaData.bibkey.F1 = 'fishbase'; 
metaData.facts = struct('F1',F1);

%% Links
metaData.links.id_CoL = '6C9MV'; % Cat of Life
metaData.links.id_ITIS = '625276'; % ITIS
metaData.links.id_EoL = '46571234'; % Ency of Life
metaData.links.id_Wiki = 'Cyttus_traversi'; % Wikipedia
metaData.links.id_ADW = 'Cyttus_traversi'; % ADW
metaData.links.id_Taxo = '172816'; % Taxonomicon
metaData.links.id_WoRMS = '217957'; % WoRMS
metaData.links.id_fishbase = 'Cyttus-traversi'; % fishbase

%% References
bibkey = 'Wiki'; type = 'Misc'; bib = ...
'howpublished = {\url{http://en.wikipedia.org/wiki/Cyttus_traversi}}';
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 = 'TracHorn2007'; type = 'techreport'; bib = [ ... 
'author = {D.M. Tracey and P.L. Horn and A.H. Andrews and  P.M. Marriott and M.R.Dunn }, ' ... 
'year = {2007}, ' ...
'title = {Age and growth, and an investigation of age  validation of lookdown dory (\emph{Cyttus traversi}) }, ' ...
'institution = {National Institute of Water and Atmospheric Research, Ministry of Fisheries Research Project}, ' ...
'volume = {LDO2004-01}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'fishbase'; type = 'Misc'; bib = ...
'howpublished = {\url{http://www.fishbase.org/summary/Cyttus-traversi.html}}';
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
