function [data, auxData, metaData, txtData, weights] = mydata_Elliptio_complanata
%% set metaData
metaData.phylum     = 'Mollusca'; 
metaData.class      = 'Bivalvia'; 
metaData.order      = 'Unionoida'; 
metaData.family     = 'Unionidae';
metaData.species    = 'Elliptio_complanata'; 
metaData.species_en = 'Eastern elliptio'; 

metaData.ecoCode.climate = {'Cfb','Dfb'};
metaData.ecoCode.ecozone = {'THn'};
metaData.ecoCode.habitat = {'0iFr','0iFp'};
metaData.ecoCode.embryo  = {'Fbb'};
metaData.ecoCode.migrate = {};
metaData.ecoCode.food    = {'bjTvf', 'jiPp'};
metaData.ecoCode.gender  = {'D'};
metaData.ecoCode.reprod  = {'O'};

metaData.T_typical  = C2K(17); % K, body temp
metaData.data_0     = {'ab'; 'am'; 'Lb'; 'Lj'; 'Lp'; 'Li';  'Wwi'; 'Ri'};
metaData.data_1     = {'L-dL_fT'}; 

metaData.COMPLETE = 2.4; 

metaData.author   = {'Bas Kooijman'};    
metaData.date_subm = [2021 02 06];              
metaData.email    = {'bas.kooijman@vu.nl'};            
metaData.address  = {'VU University Amsterdam'};   

metaData.curator    = {'Starrlight Augustine'};                             
metaData.email_cur  = {'sta@akvaplan.niva.no'};                 
metaData.date_acc   = [2021 02 06];      


%% set data
% zero-variate data

data.ab = 10;    units.ab = 'd';    label.ab = 'age at birth';                bibkey.ab = 'unio';   
  temp.ab = C2K(16);  units.temp.ab = 'K'; label.temp.ab = 'temperature'; 
data.am = 12*365;    units.am = 'd';    label.am = 'life span';                bibkey.am = 'Wiki';   
  temp.am = C2K(17);  units.temp.am = 'K'; label.temp.am = 'temperature'; 

data.Lb  = .02;   units.Lb  = 'cm';  label.Lb  = 'shell length at birth';   bibkey.Lb  = 'unio';  
data.Lj  = .03;   units.Lj  = 'cm';  label.Lj  = 'shell length at settlement';   bibkey.Lj  = 'unio';  
data.Lp  = 4;   units.Lp  = 'cm';  label.Lp  = 'shell length at puberty'; bibkey.Lp  = 'guess'; 
data.Li  = 8.8;   units.Li  = 'cm';  label.Li  = 'ultimate shell length';   bibkey.Li  = 'KeslNewt2006';

data.Wwi  = 45.5; units.Wwi  = 'g';  label.Wwi  = 'ultimate dry weight';  bibkey.Wwi  = 'guess';
 comment.Wwi = 'based on size-corrected value for Unio_tumidus : 14*(8.8/7.3)^3';

data.Ri = 16668/365;    units.Ri = '#/d';    label.Ri = 'reproduction rate for SL 5.8'; bibkey.Ri = 'Haag2013';   
  temp.Ri = C2K(17);  units.temp.Ri = 'K'; label.temp.Ri = 'temperature'; 
 
% uni-variate data
  
% length-change in length
data.LdL1 = [ ... % shell length (cm), changde in shell length (mm/yr)
3.925	7.841
4.326	6.898
4.530	5.687
4.882	7.592
5.063	5.999
5.109	9.205
5.157	5.483
5.158	6.941
5.238	5.999
5.265	3.330
5.323	2.859
5.324	3.532
5.389	2.254
5.412	3.890
5.462	2.545
5.579	2.881
5.587	4.114
5.594	3.509
5.622	2.589
5.649	9.204
5.655	7.387
5.666	2.477
5.666	2.679
5.703	3.441
5.705	5.907
5.710	2.880
5.712	5.481
5.717	2.141
5.719	4.719
5.747	2.880
5.775	1.983
5.798	3.127
5.806	4.181
5.807	5.481
5.826	2.185
5.828	4.427
5.842	2.880
5.842	3.284
5.860	7.656
5.872	4.023
5.886	4.270
5.900	3.171
5.900	3.328
5.916	4.427
5.936	2.656
5.937	3.082
5.958	2.342
5.958	2.655
5.980	2.835
5.987	2.745
5.995	3.418
6.001	1.758
6.053	2.095
6.054	4.113
6.074	1.960
6.082	2.386
6.082	2.722
6.104	3.059
6.134	3.395
6.141	2.946
6.141	3.193
6.149	4.493
6.156	3.641
6.169	1.691
6.177	2.072
6.183	1.242
6.192	3.103
6.193	4.426
6.198	0.659
6.213	1.960
6.228	2.901
6.235	2.475
6.244	3.977
6.250	2.004
6.252	4.762
6.258	3.798
6.271	1.466
6.271	1.758
6.272	2.251
6.272	2.430
6.287	2.610
6.294	2.901
6.296	5.143
6.300	1.062
6.301	1.870
6.315	2.004
6.315	2.139
6.316	2.296
6.317	3.820
6.336	0.928
6.337	1.578
6.345	2.587
6.352	1.757
6.366	1.107
6.375	3.013
6.375	3.596
6.381	1.892
6.382	2.833
6.390	3.663
6.404	3.798
6.410	1.735
6.418	2.564
6.433	2.676
6.433	3.259
6.454	1.241
6.455	2.968
6.462	3.102
6.478	4.223
6.482	-0.126
6.484	2.407
6.497	0.950
6.500	4.963
6.512	1.981
6.520	2.990
6.521	3.147
6.521	3.909
6.527	2.272
6.528	2.878
6.534	0.882
6.541	0.658
6.541	1.151
6.543	3.775
6.549	2.340
6.550	3.147
6.556	1.689
6.558	4.380
6.559	5.636
6.565	3.730
6.570	1.398
6.572	2.990
6.577	0.613
6.585	1.263
6.586	2.272
6.594	3.461
6.594	3.730
6.608	2.810
6.608	3.259
6.622	1.869
6.630	2.586
6.636	1.465
6.637	3.124
6.658	1.173
6.658	2.003
6.666	1.868
6.666	2.496
6.687	1.465
6.688	3.146
6.709	1.801
6.712	4.850
6.718	3.303
6.725	2.631
6.725	2.832
6.725	3.550
6.738	1.644
6.748	4.962
6.752	0.657
6.753	1.128
6.754	3.169
6.762	3.572
6.775	1.061
6.783	2.675
6.784	3.662
6.796	0.814
6.796	0.926
6.805	2.832
6.812	1.913
6.815	5.971
6.828	3.774
6.833	1.666
6.849	3.706
6.854	0.500
6.864	3.505
6.870	1.375
6.877	1.957
6.884	1.061
6.892	1.778
6.892	1.800
6.893	3.011
6.906	1.442
6.907	1.890
6.913	0.545
6.943	1.352
6.944	3.146
6.949	0.298
6.971	0.859
6.972	2.069
6.972	2.226
6.995	2.585
6.996	4.536
7.001	1.352
7.001	1.486
7.001	1.598
7.010	3.347
7.024	2.854
7.024	3.414
7.038	2.293
7.046	2.988
7.051	-0.083
7.061	3.863
7.067	1.733
7.081	0.836
7.081	1.172
7.082	2.473
7.083	3.414
7.097	3.100
7.102	0.051
7.104	2.271
7.111	1.463
7.111	1.620
7.111	1.800
7.112	3.706
7.125	0.768
7.126	2.988
7.132	1.082
7.133	1.688
7.140	1.979
7.155	2.405
7.156	3.436
7.156	3.526
7.157	5.611
7.169	1.351
7.170	2.607
7.177	2.965
7.190	-0.061
7.190	0.566
7.191	1.553
7.191	1.800
7.191	2.270
7.198	1.172
7.206	2.472
7.227	0.925
7.227	1.037
7.234	-0.062
7.241	0.185
7.242	1.530
7.242	1.642
7.249	0.746
7.250	1.822
7.251	3.750
7.252	4.692
7.264	1.284
7.273	3.279
7.278	1.037
7.288	3.929
7.293	0.835
7.294	2.225
7.301	2.449
7.309	3.369
7.314	-0.308
7.314	-0.174
7.314	-0.062
7.322	1.014
7.331	2.965
7.337	1.418
7.344	1.171
7.345	2.427
7.352	1.664
7.352	2.180
7.381	2.270
7.388	1.350
7.395	0.857
7.411	2.965
7.416	0.072
7.417	1.642
7.425	1.821
7.453	0.902
7.460	0.565
7.461	1.776
7.491	2.695
7.497	0.902
7.497	1.103
7.497	1.238
7.505	1.955
7.533	-0.040
7.541	1.103
7.542	2.650
7.556	1.283
7.557	2.785
7.562	-0.018
7.563	1.484
7.571	1.641
7.592	1.148
7.594	3.300
7.599	1.238
7.621	0.610
7.628	-0.018
7.629	1.731
7.651	1.238
7.665	1.282
7.679	0.587
7.687	1.417
7.695	1.708
7.695	1.888
7.710	2.044
7.715	0.004
7.733	3.681
7.739	2.157
7.739	2.560
7.760	0.991
7.774	-0.041
7.783	2.067
7.797	1.932
7.820	2.739
7.848	1.371
7.848	1.506
7.848	1.820
7.848	2.022
7.920	0.003
7.930	3.882
7.993	-0.042
8.066	-0.042
8.067	1.595
8.125	1.079
8.161	0.810
8.162	1.213
8.171	3.702
8.219	0.092
8.250	1.751
8.279	1.639
8.468	1.459
8.687	1.257];
data.LdL1(:,2) = data.LdL1(:,2)/ 3650; % convert to cm/d
units.LdL1 = {'cm', 'cm/d'}; label.LdL1 = {'shell length','change in shell length','Tucker Pond, Rhode Island, USA'};  
temp.LdL1 = C2K(23);  units.temp.LdL1 = 'K'; label.temp.LdL1 = 'temperature';
bibkey.LdL1 = 'KeslNewt2006';
comment.LdL1 = 'Data for Tucker Pond, Rhode Island, USA; mean temperature is guessed';
%
data.LdL2 = [ ... % time since settlement (yr), shell length (cm)
4.492	4.784
4.680	3.170
4.919	1.758
4.942	3.597
4.996	7.880
5.011	7.297
5.088	4.382
5.309	7.298
5.489	4.383
5.530	0.998
5.587	0.056
5.605	4.384
5.661	1.648
5.670	2.949
5.712	1.335
5.712	1.492
5.738	6.447
5.787	3.846
5.803	5.999
5.814	1.940
5.857	0.640
5.875	4.698
5.879	1.290
5.888	3.219
5.908	0.259
5.932	3.802
5.939	3.914
5.941	6.156
5.991	4.206
6.005	4.542
6.034	4.094
6.034	4.228
6.082	-0.032
6.082	0.192
6.084	3.219
6.127	1.134
6.128	2.704
6.164	1.964
6.185	0.664
6.185	0.798
6.185	1.785
6.199	0.574
6.201	3.735
6.221	1.135
6.222	2.704
6.237	2.570
6.251	1.359
6.265	0.821
6.266	2.973
6.279	0.283
6.281	2.727
6.318	3.870
6.322	0.283
6.330	1.068
6.332	2.861
6.359	1.068
6.367	0.799
6.367	1.449
6.368	2.817
6.374	0.619
6.381	0.418
6.389	1.449
6.397	3.108
6.398	4.140
6.410	0.507
6.428	4.812
6.454	1.472
6.476	0.597
6.476	0.821
6.476	0.821
6.478	4.387
6.497	0.485
6.511	-0.456
6.526	0.216
6.541	-0.008
6.542	2.257
6.542	2.414
6.544	4.095
6.548	0.822
6.550	2.772
6.564	1.674
6.564	2.055
6.565	3.311
6.570	0.351
6.600	2.212
6.608	2.122
6.622	2.055
6.638	3.221
6.644	2.324
6.674	2.840
6.708	0.150
6.708	0.553
6.709	0.867
6.709	1.607
6.738	0.867
6.739	2.190
6.745	0.688
6.745	1.450
6.761	2.795
6.767	1.607
6.768	2.392
6.782	1.226
6.796	0.867
6.803	0.105
6.825	1.450
6.826	1.607
6.826	1.787
6.826	1.921
6.839	0.285
6.841	2.347
6.847	1.114
6.854	1.069
6.876	0.397
6.892	3.536
6.898	0.957
6.899	2.280
6.905	1.047
6.912	0.554
6.913	1.249
6.919	0.173
6.948	0.397
6.948	0.509
6.949	0.958
6.963	1.047
6.964	1.249
6.992	0.061
6.993	1.675
6.993	1.810
6.993	2.056
7.007	1.227
7.022	1.047
7.029	1.810
7.051	1.115
7.057	0.263
7.087	0.734
7.102	0.913
7.116	1.205
7.116	1.362
7.138	0.801
7.160	1.362
7.175	2.326
7.196	0.981
7.225	0.824
7.239	0.084
7.240	0.981
7.240	1.093
7.240	1.250
7.263	2.461
7.283	0.757
7.306	1.430
7.306	1.542
7.327	1.362
7.400	0.780
7.400	0.892
7.421	0.466
7.443	0.085
7.458	0.914
7.458	1.004
7.458	1.206
7.502	0.601
7.524	2.193
7.531	0.601
7.545	0.937
7.611	0.601
7.661	0.444
7.662	0.601
7.756	0.131
7.778	0.220
7.807	0.781
7.807	0.960
7.858	0.781
7.872	-0.340
7.960	0.983
7.974	0.490];
data.LdL2(:,2) = data.LdL2(:,2)/ 3650; % convert to cm/d
units.LdL2 = {'cm', 'cm/d'}; label.LdL2 = {'shell length','change in shell length','Yawgoo Pond, Rhode Island, USA'};  
temp.LdL2 = C2K(23);  units.temp.LdL2 = 'K'; label.temp.LdL2 = 'temperature';
bibkey.LdL2 = 'KeslNewt2006';
comment.LdL2 = 'Data for Yawgoo Pond, Rhode Island, USA; mean temperature is guessed';
%
data.LdL3 = [ ... % time since settlement (yr), shell length (cm)
2.808	-0.121
3.010	0.598
3.082	2.284
3.290	1.356
3.291	0.333
3.303	1.110
3.310	0.163
3.346	0.788
3.365	0.163
3.419	1.356
3.432	0.258
3.437	2.000
3.449	1.337
3.481	0.409
3.481	-0.121
3.546	2.379
3.553	1.186
3.572	0.409
3.597	0.277
3.633	0.712
3.634	0.390
3.645	0.807
3.664	0.939
3.694	1.110
3.706	1.034
3.713	0.390
3.762	0.314
3.768	1.015
3.768	0.769
3.773	2.360
3.792	1.545
3.792	0.504
3.793	0.277
3.793	0.144
3.793	0.030
3.816	1.223
3.817	1.034
3.817	0.712
3.840	2.379
3.841	0.580
3.897	0.258
3.939	0.920
3.940	0.087
3.951	0.655
3.958	-0.254
3.994	0.295
4.017	2.322
4.024	1.394
4.037	0.655
4.055	1.394
4.055	0.939
4.061	0.561
4.062	0.106
4.098	1.186
4.105	0.144
4.110	0.920
4.123	0.314
4.129	0.580
4.136	-0.727
4.147	1.186
4.147	0.295
4.153	0.542
4.160	-0.008
4.183	1.186
4.196	0.447
4.196	0.068
4.202	0.561
4.209	-0.102
4.220	1.110
4.221	0.295
4.226	1.527
4.268	2.019
4.275	0.523
4.276	0.030
4.288	0.049
4.300	0.352
4.329	2.095
4.331	0.371
4.331	0.011
4.343	-0.121
4.355	0.636
4.355	0.239
4.379	1.053
4.380	0.163
4.380	-0.235
4.380	-0.443
4.385	0.883
4.392	0.504
4.398	0.864
4.398	0.731
4.416	0.144
4.422	1.261
4.422	1.072
4.423	-0.045
4.428	0.352
4.434	0.750
4.453	0.655
4.458	1.602
4.459	0.030
4.464	2.398
4.465	0.409
4.472	-0.159
4.477	0.277
4.477	0.277
4.483	0.598
4.490	0.087
4.508	0.902
4.526	0.447
4.526	0.220
4.527	-0.083
4.538	0.939
4.545	0.049
4.551	0.693
4.562	1.091
4.569	0.826
4.569	0.523
4.593	0.712
4.599	1.280
4.606	0.485
4.606	-0.008
4.606	-0.121
4.618	0.580
4.618	0.258
4.624	0.996
4.625	-0.443
4.643	0.163
4.654	1.280
4.654	0.693
4.655	-0.254
4.666	1.072
4.667	0.883
4.667	-0.008
4.685	0.598
4.691	1.280
4.691	0.409
4.691	0.333
4.698	-0.367
4.703	1.015
4.710	-0.140
4.717	-0.689
4.722	0.920
4.722	0.220
4.722	0.030
4.740	0.712
4.746	1.394
4.746	0.561
4.758	0.750
4.759	-0.254
4.771	0.125
4.777	0.807
4.777	0.314
4.783	-0.064
4.789	0.617
4.796	-0.254
4.801	1.072
4.801	0.920
4.807	1.470
4.807	0.504
4.808	0.220
4.814	0.011
4.827	-0.898
4.850	0.220
4.857	-0.292
4.862	1.280
4.863	-0.462
4.868	0.750
4.875	0.580
4.875	0.428
4.875	0.106
4.881	0.504
4.887	0.788
4.887	-0.121
4.893	1.205
4.899	0.902
4.899	0.277
4.900	0.030
4.911	0.977
4.917	0.712
4.924	-0.405
4.930	0.390
4.942	0.977
4.942	-0.140
4.943	-0.727
4.948	1.318
4.948	0.561
4.948	0.144
4.954	0.807
4.955	0.011
4.960	0.939
4.960	0.409
4.966	0.731
4.973	-0.405
4.979	0.333
4.979	-0.576
4.997	0.485
4.998	-0.330
5.003	0.864
5.003	0.617
5.004	-0.102
5.009	0.428
5.010	-0.027
5.016	0.277
5.022	0.163
5.028	0.523
5.028	0.068
5.033	0.958
5.041	-0.462
5.045	1.508
5.047	-0.633
5.052	0.920
5.052	0.807
5.053	-0.311
5.057	1.697
5.059	0.030
5.076	0.636
5.083	0.371
5.095	0.087
5.100	1.280
5.101	0.523
5.101	-0.121
5.102	-0.386
5.113	1.072
5.113	0.201
5.125	0.428
5.126	-0.386
5.139	-0.689
5.150	0.598
5.150	0.390
5.162	0.087
5.163	-0.178
5.168	0.920
5.168	0.239
5.180	0.996
5.180	0.542
5.181	-0.027
5.186	1.110
5.187	-0.273
5.192	1.356
5.211	0.693
5.211	0.485
5.211	0.144
5.212	-0.443
5.230	0.258
5.235	0.845
5.242	0.466
5.242	-0.045
5.248	-0.159
5.254	0.731
5.254	0.333
5.254	0.125
5.272	0.466
5.272	0.087
5.273	-0.121
5.273	-0.917
5.278	0.580
5.297	-0.595
5.303	0.845
5.304	-0.917
5.309	0.182
5.315	0.352
5.316	-0.330
5.321	0.674
5.327	0.163
5.328	-0.064
5.340	0.106
5.346	0.352
5.351	0.920
5.352	-0.443
5.364	0.788
5.376	0.523
5.377	-0.159
5.382	0.598
5.383	-0.008
5.389	0.258
5.401	0.371
5.401	-0.330
5.414	-0.538
5.419	0.106
5.425	0.996
5.425	0.485
5.425	-0.083
5.426	-0.727
5.431	0.636
5.444	-0.254
5.450	-0.519
5.455	1.129
5.455	0.996
5.456	0.239
5.456	-0.159
5.462	-0.008
5.474	0.352
5.480	0.674
5.480	0.504
5.480	0.239
5.481	-0.386
5.486	0.106
5.487	-0.178
5.498	0.655
5.511	0.295
5.511	-0.519
5.517	0.769
5.523	0.883
5.524	-1.087
5.529	0.523
5.529	0.144
5.530	-0.311
5.530	-1.011
5.547	0.447
5.548	-0.140
5.548	-0.424
5.554	0.049
5.559	0.977
5.578	0.674
5.608	0.769
5.608	0.542
5.609	0.314
5.614	0.674
5.621	-0.008
5.627	0.788
5.627	0.106
5.628	-0.576
5.646	-0.140
5.646	-0.292
5.651	0.352
5.664	0.182
5.664	-0.424
5.682	0.617
5.683	-1.011
5.688	0.504
5.688	0.030
5.694	0.333
5.695	-0.538
5.701	-0.064
5.718	1.186
5.724	0.902
5.725	0.504
5.725	-0.159
5.731	0.617
5.731	0.068
5.749	0.258
5.755	0.996
5.756	-0.273
5.773	0.864
5.786	0.201
5.787	-0.595
5.792	-0.027
5.792	-0.273
5.793	-0.424
5.798	0.750
5.804	0.144
5.811	-0.102
5.811	-0.424
5.823	0.314
5.847	0.655
5.847	0.409
5.847	0.011
5.854	-0.254
5.854	-0.367
5.859	0.144
5.860	-0.652
5.878	0.409
5.908	0.144
5.908	-0.027
5.909	-0.121
5.921	-0.557
5.927	0.333
5.963	0.390
5.963	0.163
5.964	-0.292
5.976	-0.027
5.994	-0.443
6.012	0.655
6.018	0.390
6.025	-0.159
6.043	-0.311
6.086	0.239
6.092	0.390
6.092	0.125
6.092	-0.064
6.098	-0.159
6.122	0.617
6.147	0.011
6.159	-0.159
6.178	-0.178
6.220	0.087
6.263	0.561
6.269	-0.178
6.275	0.655
6.281	0.220
6.288	-0.064
6.300	0.314
6.312	-0.481
6.325	-0.367
6.330	0.182
6.349	-0.027
6.355	0.447
6.361	-0.178
6.368	-0.689
6.379	0.390
6.397	0.655
6.398	-0.330
6.416	-0.027
6.447	-0.216
6.624	-0.311];
data.LdL3(:,2) = data.LdL3(:,2)/ 3650; % convert to cm/d
units.LdL3 = {'cm', 'cm/d'}; label.LdL3 = {'shell length','change in shell length','Worden Pond, Rhode Island, USA'};  
temp.LdL3 = C2K(6);  units.temp.LdL3 = 'K'; label.temp.LdL3 = 'temperature';
bibkey.LdL3 = 'KeslNewt2006';
comment.LdL3 = 'Data for Worden Pond, Rhode Island, USA; mean temperature is guessed';

%% set weights for all real data
weights = setweights(data, []);
weights.LdL1 = 3 * weights.LdL1;
weights.LdL2 = 3 * weights.LdL2;
weights.LdL3 = 3 * weights.LdL3;
weights.Li = 50 * weights.Li;
weights.Wwi = 20 * weights.Wwi;
%weights.Lj = 0 * weights.Lj;
weights.ab = 0 * weights.ab;

%% set pseudodata and respective weights
[data, units, label, weights] = addpseudodata(data, units, label, weights);
data.psd.k = 0.3; weights.psd.k = 1; units.psd.k = '-'; label.psd.k = 'maintenance ratio';
weights.psd.p_M = 0;
%weights.psd.v = 3 * weights.psd.v;

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

%% Group plots
set1 = {'LdL1','LdL2','LdL3'}; subtitle1 = {'Data from Tucker, Yawgoo, Worden Pond'};
metaData.grp.sets = {set1};
metaData.grp.subtitle = {subtitle1};

%% Discussion points
D1 = 'Males are assumed not to differ from females';
metaData.discussion = struct('D1',D1);

%% Links
metaData.links.id_CoL = '39BJ9'; % Cat of Life
metaData.links.id_ITIS = '79952'; % ITIS
metaData.links.id_EoL = '449666'; % Ency of Life
metaData.links.id_Wiki = 'Elliptio_complanata'; % Wikipedia
metaData.links.id_ADW = 'Elliptio_complanata'; % ADW
metaData.links.id_Taxo = '366977'; % Taxonomicon
metaData.links.id_WoRMS = '160340'; % WoRMS
metaData.links.id_molluscabase = '160340'; % molluscabase

%% References
bibkey = 'Wiki'; type = 'Misc'; bib = ...
'howpublished = {\url{http://en.wikipedia.org/wiki/Elliptio_complanata}}';
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 = 'KeslNewt2006'; type = 'Article'; bib = [ ...
'doi = {10.1899/0887-3593(2007)26[123:LMOGIT]2.0.CO;2}, ' ...
'author = {David H. Kesler and Teresa J. Newton and Linda Green}, ' ... 
'year = {2007}, ' ...
'title = {Long-term monitoring of growth in the Eastern Elliptio, \emph{Elliptio complanata} ({B}ivalvia: {U}nionidae), in {R}hode {I}sland: a transplant experiment}, ' ...
'journal = {J. N. Am. Benthol. Soc.}, ' ...
'volume = {26(1)}, ' ...
'pages = {123-133}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'Haag2013'; type = 'Article'; bib = [ ...
'doi = {10.1111/brv.12028}, ' ...
'author = {Wendell R. Haag }, ' ... 
'year = {2013}, ' ...
'title = {The role of fecundity and reproductive effort in defining life-history strategies of {N}orth {A}merican freshwater mussels}, ' ...
'journal = {Biol. Rev.}, ' ...
'volume = {88}, ' ...
'pages = {745-766}'];
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];
%
bibkey = 'unio'; type = 'Misc'; bib = ...
'howpublished = {\url{https://www.unio.lu/freshwater-mussel/biology/reproduction-cycle/}}';
metaData.biblist.(bibkey) = ['''@', type, '{', bibkey, ', ' bib, '}'';'];

