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

%% set metaData
metaData.phylum     = 'Chordata'; 
metaData.class      = 'Actinopterygii'; 
metaData.order      = 'Zeiformes'; 
metaData.family     = 'Oreosomatidae';
metaData.species    = 'Pseudocyttus_maculatus'; 
metaData.species_en = 'Smooth oreo dory'; 

metaData.ecoCode.climate = {'MC'};
metaData.ecoCode.ecozone = {'MPSW','MASW'};
metaData.ecoCode.habitat = {'0iMpb'};
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(4.2); % K, body temp
metaData.data_0     = {'ab'; 'am'; 'Lp'; 'Li'; 'Wwb'; 'Wwi'; 'Ri'}; 
metaData.data_1     = {'t-L'; 'Ww-N'}; 

metaData.COMPLETE = 2.5; % using criteria of LikaKear2011

metaData.author   = {'Bas Kooijman'};        
metaData.date_subm = [2024 06 05];                           
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 06 05];

%% set data
% zero-variate data

data.ab = 45;        units.ab = 'd';    label.ab = 'age at birth';              bibkey.ab = 'guess';   
  temp.ab = C2K(4.2); units.temp.ab = 'K'; label.temp.ab = 'temperature';
data.am = 100*365;    units.am = 'd';    label.am = 'life span';                 bibkey.am = 'HornMcMi2019';   
  temp.am = C2K(4.2); units.temp.am = 'K'; label.temp.am = 'temperature'; 

data.Lp  = 40;     units.Lp  = 'cm';  label.Lp  = 'total length at puberty';  bibkey.Lp  = 'fishbase'; 
data.Li  = 68;       units.Li  = 'cm';  label.Li  = 'ultimate total length';    bibkey.Li  = 'fishbase';

data.Wwb = 1/300;     units.Wwb = 'g';   label.Wwb = 'wet weight at birth';      bibkey.Wwb = 'ConrPank1989';
  comment.Wwb = 'based on 300 eggs/g';
data.Wwi = 6.27e3;     units.Wwi = 'g';   label.Wwi = 'ultimate wet weight';      bibkey.Wwi = 'fishbase';
  comment.Wwi = 'based on 0.01995*Li^3.00, see F1';

data.Ri  = 84000/365; units.Ri  = '#/d'; label.Ri  = 'maximum reprod rate';   bibkey.Ri  = 'fishbase';   
  temp.Ri = C2K(4.2);  units.temp.Ri = 'K'; label.temp.Ri = 'temperature';

% uni-variate data

% time-length
data.tL = [ ... % time since birth (yr), total length (cm)
5.043	22.163
5.043	20.779
5.043	18.548
5.130	19.240
5.130	17.779
5.217	16.625
5.652	22.241
5.652	18.857
5.739	25.395
5.739	22.472
5.826	24.626
5.826	24.165
5.826	21.780
5.826	20.011
5.826	18.319
5.913	23.396
5.913	21.550
5.913	20.319
5.913	19.627
5.913	19.396
5.913	19.242
5.913	17.550
5.913	17.396
6.000	26.011
6.000	23.088
6.000	21.165
6.000	17.934
6.000	17.704
6.000	17.319
6.000	16.934
6.000	16.627
6.174	20.858
6.174	20.858
6.609	25.013
6.609	24.859
6.609	24.628
6.609	24.166
6.609	22.936
6.870	25.782
6.870	21.167
6.870	18.321
6.870	18.244
6.957	23.782
6.957	23.706
6.957	22.398
6.957	22.398
6.957	21.859
6.957	20.859
6.957	20.706
6.957	18.552
7.043	18.783
7.130	20.475
7.130	20.167
7.130	19.860
7.130	19.321
7.130	19.090
7.217	19.706
7.217	19.398
7.478	30.014
7.826	27.938
7.826	27.553
7.826	27.323
7.826	25.015
7.826	24.707
7.826	24.707
7.826	24.476
7.913	28.246
7.913	24.169
7.913	23.169
7.913	20.707
8.000	26.477
8.000	26.323
8.000	25.323
8.000	21.015
8.000	18.861
8.087	26.862
8.087	26.708
8.087	21.400
8.174	27.016
8.174	22.785
8.174	21.708
8.174	17.477
8.261	22.631
8.435	30.478
8.870	28.402
8.870	28.171
8.870	25.017
8.870	25.017
8.870	24.786
8.870	24.325
8.870	24.171
8.957	27.709
8.957	27.556
8.957	27.171
8.957	27.094
9.043	27.402
9.043	21.863
9.043	21.556
9.043	21.017
9.043	20.633
9.130	25.633
9.130	23.710
9.130	20.633
9.130	18.710
9.217	23.402
9.217	23.094
9.217	22.325
9.304	22.556
9.304	22.479
9.391	22.710
9.652	28.557
9.652	28.403
9.652	28.095
9.739	34.249
9.739	26.711
9.739	26.403
9.739	21.480
9.826	27.096
9.826	25.865
9.913	29.557
9.913	28.942
9.913	27.634
9.913	25.404
9.913	23.404
9.913	23.250
9.913	23.096
9.913	22.942
9.913	17.557
10.000	22.711
10.000	21.019
10.000	20.481
10.087	24.942
10.087	23.788
10.087	23.635
10.087	20.712
10.174	24.712
10.261	24.635
10.261	24.327
10.261	24.173
10.783	29.174
10.783	23.174
10.783	22.636
10.783	21.944
10.870	29.713
10.870	29.482
10.870	27.867
10.870	27.405
10.870	27.405
10.870	24.636
10.870	23.559
10.957	30.252
10.957	27.021
10.957	26.636
10.957	26.482
10.957	26.098
10.957	25.944
10.957	24.944
11.043	32.021
11.043	28.867
11.130	25.483
11.130	24.406
11.217	24.021
11.913	24.177
11.913	24.023
11.913	23.638
11.913	23.484
11.913	23.407
11.913	23.023
12.000	30.946
12.000	30.638
12.000	30.023
12.000	29.484
12.000	26.792
12.000	26.715
12.087	31.946
12.087	28.485
12.087	28.023
12.087	27.792
12.087	27.485
12.087	27.254
12.087	27.177
12.087	26.254
12.087	26.254
12.087	25.715
12.087	25.408
12.174	24.946
12.174	24.639
12.261	24.716
12.783	24.871
12.783	25.255
12.870	35.025
12.870	25.794
12.870	29.025
12.870	29.178
12.957	32.640
12.957	23.409
12.957	23.409
12.957	26.256
12.957	26.563
12.957	26.871
12.957	27.640
12.957	27.948
12.957	29.486
13.043	32.179
13.043	20.486
13.043	26.410
13.043	28.256
13.043	28.717
13.043	30.871
13.130	18.564
13.130	27.179
13.130	27.179
13.130	29.717
13.130	29.948
13.130	30.256
13.739	26.334
13.826	29.719
13.826	26.026
13.826	25.950
13.826	25.411
13.826	24.103
14.000	35.796
14.000	33.258
14.000	32.950
14.000	31.642
14.000	31.258
14.000	31.104
14.000	31.104
14.000	32.334
14.087	34.873
14.087	29.335
14.087	29.335
14.087	28.873
14.087	23.104
14.348	28.027
14.348	27.797
14.609	39.105
14.696	28.259
14.696	32.643
14.783	28.797
14.783	31.490
14.783	31.567
14.783	32.105
14.783	23.567
14.870	31.798
14.957	29.567
14.957	29.875
14.957	30.259
14.957	30.875
14.957	31.029
14.957	32.875
14.957	33.259
14.957	21.721
15.043	30.567
15.043	34.875
15.043	27.029
15.739	30.107
15.826	30.261
15.826	28.569
15.826	28.569
15.826	28.492
15.826	28.338
15.826	27.800
15.913	36.954
15.913	35.954
15.913	33.415
15.913	29.954
16.000	32.800
16.000	29.800
16.000	29.723
16.087	37.723
16.087	32.723
16.087	30.723
16.087	27.569
16.087	27.415
16.087	26.954
16.174	31.416
16.174	27.185
16.174	27.031
16.261	31.877
16.261	31.262
16.261	31.108
16.261	31.031
16.348	34.877
16.348	32.262
16.870	30.955
16.870	31.263
16.870	26.109
16.957	28.725
16.957	29.879
16.957	30.109
16.957	30.417
16.957	30.571
16.957	31.802
16.957	32.109
16.957	32.263
16.957	32.725
16.957	32.956
16.957	33.186
16.957	34.879
16.957	35.263
17.043	28.186
17.043	28.263
17.043	28.879
17.043	29.571
17.043	33.417
17.043	33.494
17.043	33.802
17.130	34.033
17.130	35.725
17.130	36.033
17.130	37.494
17.217	34.264
17.217	36.879
17.217	37.725
17.739	34.111
17.826	25.650
17.826	38.650
17.826	34.034
17.826	33.726
17.826	33.496
17.826	32.880
17.826	32.726
17.826	30.496
17.826	29.496
17.913	34.650
17.913	34.496
18.000	37.034
18.000	36.419
18.000	36.188
18.000	35.034
18.000	32.342
18.000	31.573
18.000	31.573
18.000	30.034
18.000	29.265
18.087	24.650
18.087	31.881
18.174	38.342
18.174	37.727
18.696	28.267
18.870	31.344
18.870	33.036
18.870	33.652
18.870	34.113
18.870	34.421
18.870	34.575
18.870	34.805
18.870	35.805
18.870	38.113
18.957	29.113
18.957	31.113
18.957	32.190
18.957	32.806
19.043	23.575
19.043	31.960
19.043	32.498
19.043	35.036
19.043	35.036
19.043	35.190
19.043	35.344
19.043	38.421
19.217	30.498
19.217	37.114
19.217	39.037
19.217	39.806
19.826	34.807
19.826	30.192
19.913	36.654
19.913	36.192
19.913	36.192
19.913	31.115
19.913	29.884
20.000	38.423
20.000	37.192
20.000	37.192
20.000	34.423
20.000	31.577
20.000	29.423
20.087	38.038
20.087	37.808
20.087	34.269
20.087	33.962
20.087	33.731
20.087	30.731
20.087	32.346
20.087	29.038
20.174	35.885
20.174	35.808
20.174	33.269
20.261	39.039
20.261	32.731
20.261	32.731
20.348	32.193
20.609	31.501
20.696	33.578
20.696	33.732
20.783	30.732
20.783	31.117
20.870	34.117
20.870	34.348
20.870	34.809
20.957	32.348
20.957	35.348
20.957	35.656
20.957	35.656
20.957	35.886
20.957	36.348
20.957	36.886
20.957	37.271
20.957	38.809
20.957	25.040
21.043	27.502
21.130	28.656
21.217	37.733
21.217	32.964
21.217	33.425
21.391	40.041
21.391	34.656
21.652	35.272
21.652	35.118
21.739	38.965
21.739	31.349
21.739	30.965
21.826	37.426
21.826	35.965
21.826	33.657
21.826	30.734
21.826	30.580
21.826	30.426
21.826	30.196
21.913	39.811
21.913	39.504
21.913	37.734
21.913	37.042
21.913	36.734
21.913	36.196
21.913	33.427
21.913	29.119
22.000	34.581
22.000	33.196
22.000	32.273
22.000	32.042
22.000	31.811
22.087	32.812
22.087	32.735
22.087	32.504
22.261	34.196
22.957	34.813
22.957	35.198
22.957	35.659
22.957	35.967
22.957	36.429
22.957	36.582
23.043	30.275
23.043	30.813
23.043	31.352
23.043	34.275
23.043	34.352
23.043	36.813
23.043	37.044
23.043	38.121
23.043	39.121
23.130	31.890
23.130	32.121
23.130	32.737
23.130	33.044
23.217	29.352
23.217	33.583
23.217	33.737
23.217	37.198
23.217	37.198
23.739	36.584
23.826	38.276
23.826	38.123
23.826	36.200
23.826	34.507
23.826	34.507
23.913	41.738
23.913	38.430
23.913	37.584
23.913	34.123
23.913	31.661
23.913	31.046
24.000	39.123
24.000	37.046
24.000	35.969
24.000	35.584
24.000	34.892
24.000	33.892
24.000	33.815
24.000	32.661
24.087	41.046
24.087	31.969
24.174	35.431
24.261	33.046
24.696	26.817
24.783	32.586
24.783	32.278
24.783	34.663
24.870	33.048
24.870	34.355
24.870	35.125
24.870	36.894
24.870	36.971
24.957	33.509
24.957	34.202
24.957	35.356
24.957	37.202
24.957	37.432
24.957	37.663
25.043	30.971
25.043	35.586
25.043	37.817
25.130	28.202
25.130	31.433
25.130	32.587
25.130	33.279
25.130	35.894
25.130	35.894
25.130	38.125
25.130	38.664
25.130	39.048
25.130	39.894
25.826	41.973
25.826	40.434
25.826	39.050
25.826	38.896
25.826	38.203
25.826	36.973
25.913	41.280
25.913	39.280
25.913	38.742
25.913	38.588
26.000	39.819
26.000	36.511
26.000	36.204
26.000	36.127
26.000	35.742
26.000	34.973
26.000	34.588
26.000	33.973
26.000	32.204
26.000	32.204
26.000	31.358
26.087	40.742
26.087	40.204
26.174	32.358
26.870	40.590
26.957	40.129
27.043	35.052
27.043	36.283
27.043	39.052
27.130	33.898
27.130	35.744
27.130	35.975
27.130	36.437
27.130	36.898
27.130	37.052
27.130	38.052
27.130	42.052
27.130	43.206
27.217	33.591
27.217	41.283
27.391	37.668
27.826	40.053
27.913	40.823
27.913	38.823
27.913	33.130
28.000	39.361
28.000	37.284
28.000	36.977
28.000	36.054
28.000	35.977
28.000	35.131
28.087	42.054
28.087	41.208
28.087	38.131
28.087	37.746
28.087	34.669
28.174	37.823
28.174	36.285
28.174	34.054
28.870	40.902
28.957	34.056
28.957	34.440
28.957	37.979
28.957	38.209
28.957	38.517
28.957	41.979
29.043	35.210
29.043	35.825
29.043	36.133
29.130	37.056
29.217	39.056
29.217	39.518
29.217	39.825
29.391	32.979
29.652	41.211
29.739	38.980
29.739	38.672
29.913	36.134
30.000	40.288
30.000	39.442
30.000	38.058
30.174	36.827
30.174	37.519
30.174	38.442
30.261	36.520
30.261	33.904
30.957	33.059
30.957	36.136
30.957	38.367
31.043	31.444
31.043	36.983
31.043	38.752
31.043	39.136
31.043	39.367
31.130	33.829
31.130	35.137
31.130	37.829
31.130	40.752
31.130	40.829
31.130	41.367
31.217	40.521
31.217	41.060
31.304	34.291
31.739	40.061
31.826	37.907
31.826	36.369
31.913	40.907
31.913	39.292
31.913	37.677
31.913	34.984
31.913	31.677
32.000	39.061
32.000	38.831
32.000	38.215
32.087	36.215
32.087	34.292
32.174	35.292
32.261	44.062
32.435	35.370
32.783	34.755
32.870	43.294
32.870	34.986
32.957	33.756
32.957	35.832
32.957	36.986
33.043	36.371
33.043	37.448
33.043	37.910
33.043	39.986
33.043	40.910
33.130	45.217
33.217	39.218
33.826	35.373
34.000	42.065
34.000	39.988
34.000	38.065
34.000	34.988
34.087	45.065
34.087	39.142
34.087	36.988
34.087	36.065
34.174	37.450
34.348	44.220
34.348	42.527
34.783	41.990
34.870	37.836
34.870	38.298
34.957	46.221
34.957	35.298
34.957	35.606
34.957	37.067
35.043	35.836
35.043	36.452
35.130	41.067
35.217	39.760
35.826	43.915
35.826	40.146
35.826	36.684
35.913	42.838
36.000	38.069
36.087	47.300
36.087	39.146
36.087	36.146
36.174	40.531
36.783	39.301
36.870	40.378
37.043	41.379
37.043	38.533
37.043	37.840
37.217	43.225
37.826	36.688
37.913	45.227
37.913	38.150
37.913	39.611
38.000	44.534
38.000	39.150
38.000	41.996
38.087	37.150
38.174	40.073
38.957	40.459
38.957	41.306
39.043	44.075
39.043	36.152
39.043	40.921
39.130	45.460
39.130	41.767
39.130	42.075
39.304	46.075
39.739	42.999
39.826	41.615
39.913	43.538
39.913	35.846
40.000	40.154
40.000	38.846
40.000	39.231
40.087	47.077
40.087	38.231
40.261	40.770
40.870	43.155
40.957	37.694
41.043	40.540
41.043	38.156
41.826	43.003
41.913	39.619
42.000	40.542
42.348	41.158
42.348	38.851
42.957	42.159
43.043	38.390
43.652	39.468
43.826	41.084
44.087	43.085
44.261	40.239
44.870	37.163
44.957	42.009
45.130	39.164
45.826	47.088
46.087	42.165
46.174	43.550
46.783	39.397
48.000	50.015
48.870	45.017
48.870	42.325
49.130	39.633
49.304	43.172
49.652	42.172
49.739	44.480
49.913	52.173
49.913	41.557
50.261	40.558
51.478	44.560
51.826	39.946
53.913	44.027
54.000	42.873
54.087	40.027
54.783	49.951
54.870	46.259
54.957	44.567
56.174	48.954
56.870	46.186
57.304	38.956
58.957	44.498
60.087	47.115
60.783	49.347
65.913	40.819
69.130	44.056
70.783	47.444];
data.tL(:,1) = (0+ data.tL(:,1)) * 365; % convert yr to d
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'};  
temp.tL = C2K(4.2); units.temp.tL = 'K'; label.temp.tL = 'temperature';
bibkey.tL = 'HornMcMi2019';

% weight-fecundity
data.WN = [ ... % wiehgt (g), fecundity (#)
986.517	16146.494
989.359	7922.655
1070.083	8086.176
1129.997	7471.686
1155.392	29819.139
1187.100	13994.833
1187.221	9805.186
1187.324	6236.233
1231.209	19585.600
1254.404	27967.310
1262.513	17726.767
1270.078	26262.035
1309.491	14162.664
1345.496	29838.805
1353.375	27512.031
1369.346	15565.409
1384.437	34032.484
1395.325	17740.506
1413.262	27828.570
1447.354	19607.960
1449.496	35590.941
1452.311	28298.127
1452.845	9832.664
1467.842	31558.353
1468.304	15575.645
1491.607	20233.229
1507.245	19769.329
1509.966	15735.125
1512.400	21631.929
1548.445	35911.521
1554.246	15429.366
1556.711	20239.964
1561.582	31878.399
1562.278	7826.743
1580.287	15432.060
1595.198	40106.013
1605.624	39796.748
1606.015	26296.786
1616.548	22263.395
1629.879	11557.878
1650.577	16215.188
1686.061	49891.276
1697.344	19944.164
1710.127	28169.627
1733.057	45706.483
1733.812	19637.593
1743.986	28017.956
1767.818	14365.254
1770.193	22279.289
1775.236	28021.189
1783.048	28021.997
1786.074	13436.107
1792.886	48040.256
1795.660	42143.991
1811.186	45559.391
1827.193	32371.393
1829.236	51768.154
1884.440	33929.038
1933.851	36261.734
1954.985	25867.368
1986.285	24163.709
2068.769	53499.830
2094.910	50088.740
2129.675	18592.338
2365.630	53996.057
2576.454	57897.175
2588.725	83812.238
2816.149	54042.661];
units.WN = {'g', 'N'};  label.WN = {'weight', 'fecundity'};  
temp.WN = C2K(4.2); units.temp.WN = 'K'; label.temp.WN = 'temperature';
bibkey.WN = 'ConrPank1989';

%% set weights for all real data
weights = setweights(data, []);
weights.Wwi = 3 * weights.Wwi; 
weights.Wwb = 3 * weights.Wwb; 
weights.tL = 5 * weights.tL; 
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 not to differ from females';
metaData.discussion = struct('D1',D1);

%% Facts
F1 = 'length-weight: weight (in g) = 0.01995*(TL in cm)^3.00';
metaData.bibkey.F1 = 'fishbase'; 
F2 = 'feeds mainly on salps';
metaData.bibkey.F2 = 'fishbase'; 
metaData.facts = struct('F1',F1, 'F2',F2);

%% Links
metaData.links.id_CoL = '4NVPS'; % Cat of Life
metaData.links.id_ITIS = '625280'; % ITIS
metaData.links.id_EoL = '46571211'; % Ency of LifeAllocyttus_niger
metaData.links.id_Wiki = 'Pseudocyttus_maculatus'; % Wikipedia
metaData.links.id_ADW = 'Pseudocyttus_maculatus'; % ADW
metaData.links.id_Taxo = '185139'; % Taxonomicon
metaData.links.id_WoRMS = '127424'; % WoRMS
metaData.links.id_fishbase = 'Pseudocyttus-maculatus'; % fishbase

%% References
bibkey = 'Wiki'; type = 'Misc'; bib = ...
'howpublished = {\url{http://en.wikipedia.org/wiki/Pseudocyttus_maculatus}}';
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 = 'HornMcMi2019'; type = 'Article'; bib = [ ... 
'doi = {10.1080/00288330.2018.1481436}, ' ...
'author = {Peter L. Horn and Peter J. McMillan and Helen L. Neil}, ' ... 
'year = {2019}, ' ...
'title = {Age and life histories of black and smooth oreos inferred using bomb radiocarbon dating and stable isotope analysis}, ' ...
'journal = {New Zealand Journal of Marine and Freshwater Research}, ' ...
'volume = {53(1)}, ' ...
'pages = {77–96}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'ConrPank1989'; type = 'Article'; bib = [ ... 
'author = {Anne M. Conroy and Neville W. Pankhurst}, ' ... 
'year = {1989}, ' ...
'title = {Size-fecundity relationships in the smooth oreo, \emph{Pseudocyttus maculatus}, and the black oreo, \emph{Allocyttus niger} ({P}isces: {O}reosomatidae)}, ' ...
'journal = {New Zealand Journal of Marine and Freshwater Research}, ' ...
'volume = {23}, ' ...
'pages = {525-527}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'fishbase'; type = 'Misc'; bib = ...
'howpublished = {\url{http://www.fishbase.org/summary/Pseudocyttus-maculatus.html}}';
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];

