# southamerica_arge094 - RÃÂ­o Alejandro - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# NOTE: Please cite Publication, and Online_Resource and date accessed when using these data.
# If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed.
#
#
# Online_Resource:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5182
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: southamerica_arge094 - RÃÂ­o Alejandro - Breitenmoser Tree Ring Chronology Data
#--------------------
# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
#--------------------
# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
#--------------------
# Publication
#	Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D.
#	Published_Date_or_Year: 2014-03-11
#	Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies
#	Journal_Name: Climate of the Past
#	Volume: 10 
#	Edition:
#	Issue:
#	Pages: 437-449
#	DOI: 10.5194/cp-10-437-2014
#	Online_Resource: www.clim-past.net/10/437/2014/
#	Full_Citation:
#	Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based VaganovÃÂ¢ÃÂÃÂShashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4ÃÂ¢ÃÂÃÂ6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL modelÃÂ¢ÃÂÃÂs ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate.
#--------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
#------------------
# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: RÃÂ­o Alejandro
#	Location:
#	Country: Argentina
#	Northernmost_Latitude: -42.58
#	Southernmost_Latitude: -42.58
#	Easternmost_Longitude: -71.95
#	Westernmost_Longitude: -71.95
#	Elevation: 570 m
#--------------------
# Data_Collection
#	Collection_Name: southamerica_arge094B
#	Earliest_Year: 568
#	Most_Recent_Year: 1993
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"2.72252187955","T2":"12.1850325587","M1":"0.0230351700728","M2":"0.578407094567"}}
#--------------------
# Species
#	Species_Name: alerce cypress
#	Species_Code: FICU
#--------------------
# Chronology:
#
#
#
#--------------------
# Variables
#
# Data variables follow that are preceded by ## in columns one and two.
# Data line variables format:  Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
568	1.157
569	0.957
570	1.054
571	1.071
572	0.941
573	0.978
574	0.981
575	0.971
576	1.161
577	0.679
578	0.68
579	0.851
580	0.903
581	1.162
582	1.124
583	1.121
584	1.045
585	0.611
586	0.788
587	0.916
588	0.911
589	0.921
590	0.924
591	1.033
592	1.082
593	1.047
594	0.966
595	1.364
596	1.292
597	1.343
598	1.325
599	1.29
600	1.199
601	0.755
602	0.62
603	0.629
604	0.833
605	0.942
606	0.904
607	0.98
608	0.884
609	0.995
610	1.014
611	0.899
612	0.978
613	1.091
614	1.215
615	1.064
616	1.214
617	1.383
618	1.301
619	1.147
620	1.283
621	0.985
622	0.773
623	0.748
624	1.011
625	1.04
626	0.998
627	1.22
628	1.251
629	1.319
630	1.444
631	1.551
632	1.556
633	1.457
634	0.981
635	1.125
636	0.919
637	1.103
638	1.115
639	1.359
640	1.227
641	1.153
642	1.039
643	1.051
644	0.994
645	1.096
646	1.098
647	1.101
648	1.114
649	1.207
650	1.109
651	1.223
652	1.053
653	0.831
654	0.863
655	0.881
656	0.846
657	0.746
658	0.846
659	0.73
660	0.893
661	0.989
662	0.798
663	0.816
664	1.215
665	0.871
666	0.851
667	1.036
668	0.85
669	1.054
670	0.951
671	0.938
672	1.101
673	1.041
674	1.227
675	1.228
676	1.127
677	1.23
678	0.892
679	1.073
680	0.86
681	0.759
682	0.844
683	1.024
684	0.93
685	0.786
686	0.832
687	0.967
688	0.728
689	0.729
690	1.003
691	0.884
692	0.872
693	0.732
694	0.43
695	0.68
696	0.784
697	1.078
698	0.785
699	0.948
700	0.959
701	0.804
702	1.099
703	0.91
704	1.014
705	1.06
706	1.033
707	1.098
708	0.901
709	1.088
710	0.88
711	0.939
712	0.561
713	0.977
714	0.923
715	1.123
716	1.16
717	1.288
718	1.026
719	1.254
720	1.028
721	1.275
722	1.294
723	1.419
724	1.479
725	1.369
726	1.263
727	1.495
728	1.088
729	1.071
730	1.395
731	0.991
732	1.074
733	1.012
734	1.236
735	0.995
736	1.107
737	1.018
738	0.979
739	0.659
740	0.811
741	0.758
742	1.01
743	0.759
744	0.907
745	1.048
746	1.017
747	1.025
748	1.089
749	0.875
750	1.05
751	0.907
752	1.008
753	0.951
754	0.774
755	0.993
756	0.755
757	0.879
758	1.079
759	0.853
760	1.024
761	1.046
762	0.674
763	0.837
764	0.821
765	0.966
766	0.894
767	0.881
768	0.586
769	0.633
770	0.596
771	0.716
772	0.615
773	0.776
774	0.842
775	0.937
776	0.693
777	0.651
778	0.761
779	0.74
780	0.957
781	0.89
782	0.54
783	0.648
784	0.833
785	0.737
786	0.856
787	0.887
788	0.978
789	0.764
790	0.972
791	0.89
792	1.157
793	1.126
794	1.23
795	1.104
796	0.97
797	1.363
798	1.083
799	1.014
800	1.344
801	0.961
802	1.132
803	1.092
804	1.035
805	1.329
806	1.156
807	0.83
808	1.142
809	1.325
810	1.24
811	1.068
812	1.32
813	1.278
814	1.163
815	1.366
816	1.238
817	1.373
818	1.311
819	1.248
820	1.104
821	1.171
822	1.212
823	1.152
824	1.349
825	1.294
826	0.94
827	1.072
828	1.073
829	1.139
830	1.328
831	1.147
832	1.286
833	1.104
834	1.038
835	1.258
836	0.663
837	0.935
838	0.985
839	1.019
840	1.072
841	1.096
842	0.8
843	1.101
844	1.139
845	1.08
846	1.098
847	1.165
848	0.75
849	0.818
850	0.735
851	0.876
852	1.219
853	1.025
854	0.985
855	1.108
856	0.949
857	1.123
858	1.22
859	1.188
860	0.942
861	0.821
862	1.132
863	1.028
864	1.215
865	1.079
866	0.998
867	0.714
868	0.951
869	1.083
870	1.093
871	1.106
872	0.59
873	0.876
874	1.091
875	1.178
876	1.044
877	1.234
878	0.914
879	1.054
880	1.347
881	1.276
882	1.133
883	1.375
884	0.779
885	0.982
886	0.915
887	0.994
888	0.926
889	1.106
890	0.67
891	0.877
892	0.899
893	0.864
894	1.088
895	1.193
896	0.995
897	1.05
898	0.908
899	1.142
900	1.073
901	1.109
902	0.928
903	1.275
904	1.047
905	1.162
906	1.148
907	1.004
908	1.046
909	1.029
910	1.084
911	0.854
912	1.092
913	0.83
914	0.733
915	0.632
916	0.824
917	0.909
918	1.006
919	0.761
920	1.046
921	0.977
922	0.985
923	0.972
924	1
925	0.495
926	0.784
927	0.743
928	0.783
929	0.694
930	0.54
931	0.564
932	0.779
933	0.967
934	0.821
935	1.038
936	0.755
937	1.066
938	1.014
939	0.938
940	0.656
941	1.154
942	0.863
943	0.944
944	0.912
945	0.93
946	1.035
947	0.909
948	1.214
949	0.871
950	1.226
951	0.841
952	1.089
953	0.651
954	0.845
955	1.084
956	0.831
957	0.921
958	0.975
959	0.814
960	0.931
961	0.955
962	0.889
963	1
964	1.23
965	0.999
966	0.341
967	1.038
968	0.941
969	0.867
970	0.81
971	0.723
972	0.895
973	0.978
974	1.101
975	1.039
976	0.918
977	1.266
978	1.107
979	1.176
980	1.163
981	0.805
982	0.967
983	1.022
984	0.877
985	0.766
986	0.751
987	0.904
988	0.988
989	1.044
990	1.021
991	0.895
992	1.054
993	1.183
994	0.893
995	0.743
996	0.76
997	0.793
998	0.854
999	1.01
1000	0.948
1001	0.929
1002	0.937
1003	1.079
1004	0.946
1005	0.899
1006	0.749
1007	0.832
1008	1.065
1009	1.182
1010	1.421
1011	1.304
1012	1.142
1013	0.707
1014	0.769
1015	0.76
1016	0.648
1017	1.018
1018	0.933
1019	1.023
1020	1.019
1021	0.779
1022	0.888
1023	0.867
1024	0.97
1025	0.848
1026	0.872
1027	0.926
1028	0.997
1029	0.838
1030	0.536
1031	0.743
1032	0.914
1033	1.117
1034	1.137
1035	1.152
1036	1.218
1037	1.238
1038	0.99
1039	1.112
1040	1.319
1041	1.132
1042	1.373
1043	1.049
1044	1.105
1045	1.067
1046	0.888
1047	0.846
1048	0.989
1049	0.865
1050	0.891
1051	0.923
1052	0.823
1053	0.883
1054	1.109
1055	1.126
1056	1.335
1057	1.193
1058	1.337
1059	1.262
1060	1.126
1061	1.134
1062	1.224
1063	1.214
1064	1.144
1065	1.217
1066	1.041
1067	1.081
1068	0.846
1069	1.025
1070	0.665
1071	0.86
1072	0.9
1073	1.023
1074	0.998
1075	1.023
1076	1.082
1077	1.044
1078	1.321
1079	1.523
1080	1.595
1081	1.325
1082	0.871
1083	1.294
1084	1.434
1085	1.478
1086	1.504
1087	1.219
1088	1.028
1089	0.978
1090	1.355
1091	1.481
1092	1.692
1093	1.295
1094	1.499
1095	1.599
1096	0.952
1097	1.162
1098	1.208
1099	1.029
1100	1.107
1101	1.101
1102	1.079
1103	1.195
1104	0.985
1105	1.13
1106	1.187
1107	1.422
1108	1.188
1109	1.501
1110	1.121
1111	1.325
1112	1.106
1113	0.8
1114	0.694
1115	0.658
1116	0.938
1117	0.943
1118	0.931
1119	0.834
1120	0.808
1121	0.996
1122	0.974
1123	1.015
1124	1.02
1125	1.167
1126	0.887
1127	1.347
1128	1.209
1129	1.087
1130	1.125
1131	0.973
1132	0.894
1133	0.915
1134	1.035
1135	0.951
1136	1.044
1137	0.982
1138	0.923
1139	0.713
1140	0.922
1141	0.775
1142	0.719
1143	0.823
1144	0.847
1145	0.761
1146	0.951
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1148	1.076
1149	0.984
1150	1.039
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1152	1.245
1153	1.113
1154	1.087
1155	1.218
1156	1.296
1157	1.227
1158	1.33
1159	0.942
1160	1.286
1161	1.355
1162	1.384
1163	0.927
1164	1.165
1165	1.206
1166	1.32
1167	1.187
1168	1.207
1169	1.42
1170	1.208
1171	1.386
1172	1.119
1173	1.089
1174	0.979
1175	0.944
1176	0.95
1177	1.11
1178	1.037
1179	1.124
1180	1.285
1181	0.847
1182	0.95
1183	0.957
1184	0.743
1185	0.876
1186	0.835
1187	0.852
1188	1.2
1189	1.088
1190	1.13
1191	1.201
1192	1.203
1193	1.126
1194	0.671
1195	0.747
1196	0.856
1197	0.91
1198	1.144
1199	0.644
1200	0.883
1201	0.823
1202	0.928
1203	1.047
1204	0.942
1205	0.909
1206	1.008
1207	1.068
1208	0.821
1209	0.994
1210	0.619
1211	0.64
1212	0.77
1213	0.827
1214	0.878
1215	0.649
1216	0.644
1217	0.855
1218	0.74
1219	0.945
1220	1.095
1221	0.975
1222	1.082
1223	1.065
1224	1.154
1225	1.209
1226	0.758
1227	1.13
1228	1.109
1229	1.393
1230	1.198
1231	1.289
1232	0.837
1233	0.914
1234	0.682
1235	0.599
1236	0.879
1237	0.855
1238	1.185
1239	0.892
1240	0.915
1241	1.028
1242	1.094
1243	0.735
1244	0.783
1245	0.893
1246	0.876
1247	1.071
1248	1.023
1249	0.853
1250	0.709
1251	0.866
1252	1.056
1253	0.861
1254	0.933
1255	0.915
1256	0.827
1257	1.064
1258	1.051
1259	1.079
1260	0.726
1261	0.72
1262	0.937
1263	0.828
1264	0.59
1265	0.915
1266	0.662
1267	0.954
1268	0.863
1269	1.012
1270	0.829
1271	0.812
1272	0.826
1273	0.626
1274	0.813
1275	0.659
1276	0.932
1277	0.948
1278	0.548
1279	0.709
1280	0.812
1281	0.603
1282	0.848
1283	0.58
1284	0.592
1285	0.978
1286	0.866
1287	0.869
1288	0.865
1289	0.811
1290	0.942
1291	0.904
1292	0.513
1293	0.695
1294	0.657
1295	0.854
1296	0.98
1297	1.064
1298	1.098
1299	1.034
1300	1.058
1301	1.017
1302	1.216
1303	1.182
1304	1.396
1305	1.124
1306	1.178
1307	1.274
1308	1.23
1309	1.338
1310	1.457
1311	0.674
1312	0.893
1313	0.845
1314	0.92
1315	1.107
1316	1.329
1317	1.275
1318	0.718
1319	0.86
1320	0.971
1321	0.791
1322	0.601
1323	0.689
1324	0.733
1325	0.849
1326	1.041
1327	1.019
1328	0.947
1329	1.094
1330	0.895
1331	0.979
1332	0.806
1333	0.93
1334	0.766
1335	0.893
1336	1.072
1337	0.849
1338	0.944
1339	0.998
1340	0.805
1341	0.87
1342	0.785
1343	0.848
1344	0.856
1345	1.001
1346	0.593
1347	0.687
1348	0.775
1349	0.792
1350	0.791
1351	0.959
1352	0.933
1353	0.894
1354	0.924
1355	0.902
1356	0.465
1357	0.613
1358	0.875
1359	0.63
1360	0.926
1361	0.806
1362	1.106
1363	0.988
1364	1.052
1365	0.921
1366	1.025
1367	1.123
1368	1.155
1369	1.256
1370	1.086
1371	0.905
1372	1.128
1373	0.901
1374	0.798
1375	0.865
1376	1.011
1377	1.164
1378	1.09
1379	1.048
1380	1.106
1381	1.106
1382	1.121
1383	1.141
1384	0.799
1385	0.68
1386	0.647
1387	0.806
1388	0.791
1389	0.96
1390	0.964
1391	0.536
1392	0.746
1393	0.604
1394	0.621
1395	0.775
1396	0.716
1397	0.827
1398	0.878
1399	0.623
1400	0.79
1401	0.96
1402	0.907
1403	0.741
1404	0.708
1405	0.824
1406	0.864
1407	0.915
1408	0.985
1409	0.724
1410	0.796
1411	1.03
1412	0.465
1413	0.647
1414	0.663
1415	0.774
1416	0.721
1417	0.766
1418	0.832
1419	0.788
1420	0.788
1421	0.721
1422	0.796
1423	0.733
1424	0.553
1425	0.569
1426	0.794
1427	0.666
1428	0.837
1429	0.942
1430	0.964
1431	0.698
1432	0.995
1433	1.082
1434	0.991
1435	0.828
1436	0.823
1437	0.693
1438	0.676
1439	0.979
1440	0.991
1441	0.935
1442	1.113
1443	1.03
1444	1.322
1445	1.174
1446	1.267
1447	1.007
1448	0.893
1449	1.116
1450	0.993
1451	1.129
1452	1.086
1453	1.187
1454	1.055
1455	0.809
1456	0.676
1457	0.711
1458	0.909
1459	0.799
1460	1.057
1461	0.812
1462	1.006
1463	0.724
1464	0.842
1465	0.967
1466	0.978
1467	1.023
1468	0.467
1469	0.589
1470	0.78
1471	1.086
1472	1.174
1473	1.096
1474	1.491
1475	1.428
1476	1.428
1477	1.31
1478	1.468
1479	1.253
1480	0.776
1481	0.946
1482	0.918
1483	0.708
1484	0.572
1485	0.812
1486	0.788
1487	0.86
1488	1.069
1489	1.06
1490	1.034
1491	1.083
1492	1.105
1493	1.062
1494	0.819
1495	0.966
1496	1.037
1497	1.076
1498	1.183
1499	1.09
1500	1.049
1501	1.019
1502	0.945
1503	0.954
1504	0.932
1505	1.095
1506	1.078
1507	1.154
1508	1.098
1509	1.157
1510	0.794
1511	0.987
1512	1.149
1513	1.025
1514	0.951
1515	1.251
1516	1.203
1517	1.211
1518	1.242
1519	1.408
1520	1.299
1521	1.366
1522	1.282
1523	1.106
1524	1.359
1525	1.258
1526	1.198
1527	1.097
1528	1.19
1529	1.081
1530	1.117
1531	1.064
1532	1.072
1533	1.284
1534	1.163
1535	1.04
1536	1.022
1537	1.077
1538	0.842
1539	0.616
1540	0.863
1541	0.803
1542	0.949
1543	0.851
1544	0.82
1545	1.001
1546	0.997
1547	1.004
1548	1.02
1549	0.868
1550	1.054
1551	0.866
1552	0.98
1553	1.109
1554	1.084
1555	0.782
1556	0.881
1557	0.847
1558	0.943
1559	0.887
1560	0.84
1561	1.002
1562	1.123
1563	1.051
1564	0.71
1565	0.697
1566	0.994
1567	0.94
1568	1.008
1569	1.014
1570	1.161
1571	0.881
1572	0.834
1573	0.983
1574	1.063
1575	0.926
1576	0.91
1577	1.129
1578	0.844
1579	0.949
1580	0.896
1581	0.848
1582	0.612
1583	0.786
1584	0.994
1585	1.21
1586	1.301
1587	1.361
1588	1.472
1589	1.213
1590	1.359
1591	1.191
1592	1.174
1593	1.236
1594	1.353
1595	1.274
1596	1.552
1597	1.186
1598	1.31
1599	0.654
1600	0.802
1601	1.018
1602	1.098
1603	1.112
1604	0.852
1605	0.907
1606	0.994
1607	0.796
1608	0.881
1609	1.063
1610	0.914
1611	1.015
1612	0.582
1613	0.784
1614	0.921
1615	0.868
1616	0.948
1617	1.005
1618	1.109
1619	1.04
1620	1.194
1621	0.839
1622	0.808
1623	0.891
1624	0.879
1625	0.85
1626	0.774
1627	0.698
1628	0.947
1629	0.804
1630	1.006
1631	0.96
1632	0.623
1633	0.832
1634	0.92
1635	0.807
1636	0.963
1637	0.896
1638	0.944
1639	0.812
1640	0.865
1641	1.006
1642	0.88
1643	1.042
1644	1.253
1645	1.128
1646	1.378
1647	1.151
1648	1.132
1649	1.232
1650	1.112
1651	0.911
1652	0.982
1653	0.934
1654	1.075
1655	1.005
1656	1.17
1657	1.072
1658	1.064
1659	1.094
1660	1.126
1661	1.094
1662	1.192
1663	1.095
1664	1.17
1665	0.609
1666	0.912
1667	0.895
1668	0.873
1669	0.944
1670	0.867
1671	1.048
1672	0.819
1673	0.941
1674	0.854
1675	0.876
1676	0.693
1677	0.985
1678	0.847
1679	0.861
1680	0.904
1681	1.016
1682	0.851
1683	0.977
1684	0.982
1685	0.975
1686	0.893
1687	0.893
1688	0.968
1689	0.88
1690	0.91
1691	1.018
1692	0.976
1693	0.722
1694	1.195
1695	0.857
1696	0.78
1697	0.705
1698	0.65
1699	0.445
1700	0.685
1701	0.851
1702	0.806
1703	0.886
1704	1.016
1705	1.015
1706	1.003
1707	1.161
1708	1.126
1709	1.014
1710	1.046
1711	0.918
1712	0.835
1713	0.92
1714	0.923
1715	0.889
1716	1.101
1717	0.932
1718	0.487
1719	0.619
1720	0.539
1721	0.659
1722	0.672
1723	0.709
1724	0.747
1725	0.7
1726	0.986
1727	1.027
1728	1.119
1729	1.151
1730	1.205
1731	1.296
1732	1.24
1733	1.125
1734	0.869
1735	1.282
1736	1.417
1737	1.098
1738	0.772
1739	1.071
1740	1.174
1741	1.328
1742	1.28
1743	1.208
1744	1.04
1745	0.978
1746	1.299
1747	0.851
1748	0.829
1749	1.115
1750	1.133
1751	1.063
1752	1.1
1753	1.165
1754	1.294
1755	1.084
1756	0.942
1757	1.206
1758	1.169
1759	1.132
1760	1.137
1761	1.333
1762	1.062
1763	1.116
1764	1.185
1765	1.104
1766	0.541
1767	0.658
1768	0.538
1769	0.655
1770	0.633
1771	0.733
1772	0.592
1773	0.714
1774	0.803
1775	0.79
1776	0.927
1777	0.823
1778	0.968
1779	0.942
1780	1.017
1781	1.031
1782	0.881
1783	0.774
1784	0.913
1785	0.758
1786	0.774
1787	0.876
1788	0.911
1789	0.916
1790	0.972
1791	0.858
1792	0.665
1793	0.832
1794	0.775
1795	0.758
1796	0.757
1797	1.029
1798	1.065
1799	1.005
1800	1.413
1801	1.404
1802	1.257
1803	1.326
1804	1.207
1805	1.038
1806	1.246
1807	1.066
1808	1.052
1809	1.147
1810	1.188
1811	0.962
1812	1.056
1813	1.144
1814	1.05
1815	0.643
1816	0.728
1817	0.748
1818	0.558
1819	0.801
1820	0.626
1821	0.644
1822	0.827
1823	0.837
1824	0.856
1825	0.888
1826	1.067
1827	0.93
1828	1.232
1829	1.451
1830	1.419
1831	1.24
1832	1.252
1833	0.961
1834	1.052
1835	1.101
1836	1.141
1837	1.192
1838	1.071
1839	1.03
1840	1.113
1841	0.939
1842	1.051
1843	0.937
1844	1.226
1845	0.883
1846	0.923
1847	1.026
1848	0.91
1849	1.108
1850	1.058
1851	0.648
1852	0.714
1853	0.729
1854	0.796
1855	0.851
1856	0.988
1857	1.001
1858	0.947
1859	0.703
1860	0.781
1861	0.936
1862	1.032
1863	0.88
1864	0.948
1865	0.809
1866	0.715
1867	0.796
1868	1.083
1869	0.739
1870	0.91
1871	0.936
1872	1.038
1873	1.109
1874	1.103
1875	1.16
1876	1.187
1877	0.71
1878	0.893
1879	0.996
1880	0.992
1881	1.04
1882	0.761
1883	0.96
1884	1.188
1885	0.949
1886	1.205
1887	1.165
1888	1.029
1889	1.337
1890	1.236
1891	1.156
1892	1.196
1893	1.207
1894	1.42
1895	1.322
1896	1.248
1897	0.822
1898	1.247
1899	0.997
1900	1.15
1901	1.052
1902	1.162
1903	1.055
1904	1.239
1905	1.028
1906	0.901
1907	1.169
1908	1.131
1909	1.184
1910	1.292
1911	1.035
1912	0.884
1913	0.749
1914	0.864
1915	0.819
1916	1.027
1917	0.867
1918	1.008
1919	0.78
1920	0.974
1921	1.153
1922	0.974
1923	0.728
1924	1.033
1925	1.085
1926	0.993
1927	1.007
1928	1.123
1929	1.187
1930	0.993
1931	1.045
1932	1.335
1933	1.209
1934	1.305
1935	1.467
1936	0.975
1937	1.167
1938	1.275
1939	1.184
1940	1.047
1941	0.988
1942	0.974
1943	0.971
1944	0.65
1945	0.736
1946	1.151
1947	1.166
1948	1.085
1949	0.964
1950	1.305
1951	1.017
1952	1.015
1953	1.217
1954	1.059
1955	0.932
1956	0.947
1957	0.838
1958	0.583
1959	0.689
1960	0.575
1961	0.562
1962	0.62
1963	0.857
1964	1.049
1965	0.998
1966	0.957
1967	0.931
1968	1.056
1969	1.382
1970	1.219
1971	1.313
1972	1.03
1973	1.254
1974	0.967
1975	0.878
1976	1.16
1977	1.182
1978	0.738
1979	1.093
1980	1.187
1981	1.126
1982	1.243
1983	1.312
1984	1.412
1985	1.053
1986	1.301
1987	0.86
1988	0.906
1989	1.138
1990	1.422
1991	1.487
1992	1.017
1993	0.889