ÃÂ¯ÃÂ»ÃÂ¿# northamerica_canada_cana220 - Whirlpool Point - 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/3905
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_canada_cana220 - Whirlpool Point - 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: Whirlpool Point
#	Location:
#	Country: Canada
#	Northernmost_Latitude: 52.0
#	Southernmost_Latitude: 52.0
#	Easternmost_Longitude: -116.45
#	Westernmost_Longitude: -116.45
#	Elevation: 1367 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_canada_cana220B
#	Earliest_Year: 730
#	Most_Recent_Year: 1996
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"2.09042672956","T2":"11.0418355145","M1":"0.0232206363152","M2":"0.634863465344"}}
#--------------------
# Species
#	Species_Name: limber pine
#	Species_Code: PIFL
#--------------------
# 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
730	0.664
731	1.156
732	0.827
733	1.417
734	0.868
735	1.229
736	1.119
737	0.893
738	0.811
739	0.756
740	0.789
741	1.035
742	0.783
743	1.098
744	1.151
745	1.47
746	1.259
747	1.672
748	1.94
749	1.595
750	1.143
751	0.995
752	0.829
753	1.067
754	1.054
755	1.067
756	1.071
757	1.061
758	0.915
759	0.778
760	0.956
761	0.645
762	0.499
763	1.001
764	1.007
765	0.794
766	0.818
767	0.771
768	0.764
769	1.069
770	0.81
771	0.714
772	0.638
773	0.549
774	0.844
775	0.747
776	0.344
777	0.795
778	1.068
779	1.193
780	0.67
781	0.974
782	1.098
783	0.541
784	0.542
785	0.834
786	0.969
787	0.842
788	0.748
789	0.759
790	0.721
791	0.623
792	0.586
793	0.665
794	0.333
795	0.263
796	0.465
797	0.847
798	0.736
799	0.556
800	1
801	0.89
802	0.753
803	1.037
804	1.015
805	1.11
806	1.177
807	0.503
808	0.595
809	1.093
810	0.984
811	0.7
812	0.926
813	0.688
814	0.54
815	0.738
816	0.842
817	1.02
818	1.774
819	1.302
820	1.183
821	1.274
822	0.946
823	1.495
824	1.397
825	1.689
826	1.944
827	2.738
828	1.059
829	1.476
830	1.602
831	0.824
832	0.8
833	1.718
834	1.349
835	1.41
836	1.187
837	1.551
838	1.408
839	1.557
840	2.379
841	2.086
842	1.834
843	1.891
844	1.847
845	1.359
846	1.824
847	2.145
848	1.175
849	0.89
850	0.91
851	1.649
852	0.829
853	0.92
854	1.037
855	1.401
856	1.102
857	0.671
858	1.309
859	1.546
860	1.108
861	1.081
862	0.934
863	0.915
864	1.274
865	1.171
866	1.216
867	0.948
868	1.143
869	1.171
870	1.431
871	0.999
872	0.649
873	0.674
874	1.292
875	0.465
876	0.884
877	0.872
878	0.788
879	1.333
880	1.287
881	1.253
882	1.021
883	1.082
884	0.92
885	1.385
886	1.346
887	1.108
888	1.255
889	0.766
890	0.265
891	1.393
892	0.633
893	0.7
894	0.759
895	0.837
896	1.001
897	0.974
898	0.927
899	1.284
900	0.628
901	1.329
902	1.257
903	0.854
904	0.898
905	0.224
906	0.452
907	1.016
908	0.323
909	1.31
910	1.417
911	1.292
912	1.576
913	0.531
914	1.235
915	0.416
916	0.743
917	1.134
918	0.434
919	1.038
920	0.806
921	0.747
922	1.224
923	1.253
924	1.617
925	1.348
926	1.195
927	0.95
928	1.313
929	1.148
930	1.074
931	1.164
932	0.764
933	0.913
934	0.59
935	0.925
936	0.595
937	0.826
938	1.032
939	0.891
940	0.879
941	0.909
942	1.021
943	1.08
944	0.981
945	0.71
946	0.525
947	0.603
948	1.043
949	1.169
950	1.095
951	1.437
952	0.83
953	0.95
954	1.149
955	0.867
956	1.701
957	1.759
958	1.396
959	0.423
960	1.457
961	1.353
962	1.016
963	0.686
964	0.757
965	0.109
966	0.818
967	1.112
968	0.804
969	1.547
970	1.03
971	0.903
972	1.482
973	1.074
974	1.043
975	1.932
976	1.412
977	0.328
978	1.407
979	0.457
980	1.225
981	0.536
982	1.109
983	0.591
984	0.924
985	1.089
986	0.919
987	0.483
988	0.629
989	1.142
990	0.698
991	1.374
992	1.151
993	1.028
994	0.757
995	0.725
996	1.925
997	0.605
998	1.101
999	0.371
1000	0.923
1001	0.117
1002	1.203
1003	0.598
1004	0.694
1005	1.023
1006	0.836
1007	0.998
1008	1.234
1009	1.358
1010	0.827
1011	0.868
1012	0.861
1013	1.432
1014	0.726
1015	0.906
1016	0.907
1017	1.238
1018	0.665
1019	1.215
1020	0.582
1021	0.473
1022	0.544
1023	1.096
1024	0.632
1025	0.412
1026	0.803
1027	0.786
1028	1.069
1029	0.372
1030	0.264
1031	0.451
1032	0.878
1033	0.945
1034	0.956
1035	0.962
1036	0.525
1037	0.235
1038	0.983
1039	0.772
1040	0.254
1041	0.755
1042	0.381
1043	0.679
1044	1.155
1045	1.537
1046	0.192
1047	1.42
1048	1.217
1049	1.115
1050	0.721
1051	0.513
1052	1.03
1053	0.555
1054	0.652
1055	0.519
1056	0.851
1057	0.944
1058	0.688
1059	1.04
1060	0.667
1061	0.561
1062	0.908
1063	0.674
1064	0.612
1065	0.998
1066	0.944
1067	0.985
1068	1.314
1069	0.937
1070	0.401
1071	0.326
1072	1.061
1073	0.775
1074	0.797
1075	0.413
1076	0.649
1077	0.6
1078	0.811
1079	1.364
1080	0.959
1081	0.796
1082	0.681
1083	0.802
1084	0.313
1085	0.494
1086	0.947
1087	1.271
1088	0.752
1089	1.561
1090	1.526
1091	1.27
1092	0.6
1093	1.644
1094	1.437
1095	1.639
1096	0.921
1097	0.975
1098	1.064
1099	1.383
1100	1.15
1101	1.188
1102	0.78
1103	0.999
1104	1.539
1105	1.862
1106	1.626
1107	1.005
1108	1.184
1109	0.985
1110	0.621
1111	0.774
1112	0.949
1113	1.276
1114	1.675
1115	0.308
1116	1.174
1117	1.113
1118	0.924
1119	1.014
1120	1.209
1121	0.978
1122	0.441
1123	1.491
1124	0.483
1125	1.356
1126	1.312
1127	0.711
1128	1.359
1129	1.169
1130	0.553
1131	0.901
1132	1.398
1133	1.55
1134	1.518
1135	1.372
1136	1.341
1137	1.094
1138	1.224
1139	0.807
1140	0.911
1141	0.996
1142	0.991
1143	1.032
1144	1.198
1145	0.507
1146	0.858
1147	1.196
1148	0.347
1149	1.29
1150	1.04
1151	0.865
1152	0.694
1153	0.879
1154	0.862
1155	0.25
1156	0.924
1157	1.01
1158	0.898
1159	0.618
1160	0.749
1161	0.755
1162	0.635
1163	1.145
1164	0.653
1165	0.603
1166	1.026
1167	0.584
1168	1.018
1169	0.972
1170	0.534
1171	0.911
1172	1.099
1173	1.013
1174	1.078
1175	1.324
1176	1.289
1177	0.568
1178	0.804
1179	0.679
1180	0.718
1181	0.791
1182	1.144
1183	0.737
1184	1.171
1185	1.002
1186	1.062
1187	0.987
1188	1.43
1189	1.286
1190	1.416
1191	0.665
1192	1.46
1193	0.95
1194	1.48
1195	1.401
1196	1.614
1197	1.931
1198	1.509
1199	2.023
1200	0.264
1201	0.881
1202	1.907
1203	1.78
1204	1.259
1205	0.753
1206	0.568
1207	1.015
1208	1.41
1209	0.476
1210	0.581
1211	1.096
1212	0.83
1213	1.025
1214	1.289
1215	1.589
1216	1.133
1217	0.457
1218	0.633
1219	0.651
1220	0.497
1221	1.054
1222	0.55
1223	1.372
1224	1.328
1225	1.31
1226	0.933
1227	1.374
1228	0.289
1229	1.466
1230	1.391
1231	0.193
1232	1.109
1233	0.621
1234	0.584
1235	0.73
1236	1.004
1237	0.385
1238	0.127
1239	0.759
1240	0.782
1241	0.526
1242	1.076
1243	1.179
1244	0.671
1245	1.299
1246	1.232
1247	0.666
1248	0.707
1249	0.479
1250	0.394
1251	0.172
1252	0.558
1253	0.234
1254	0.767
1255	0.48
1256	0.767
1257	0.574
1258	0.804
1259	0.964
1260	1.031
1261	1.086
1262	1.652
1263	1.605
1264	0.726
1265	1.673
1266	1.539
1267	1.365
1268	0.434
1269	0.522
1270	0.607
1271	1.044
1272	1.038
1273	0.897
1274	0.838
1275	0.472
1276	0.85
1277	1.002
1278	1.302
1279	0.892
1280	1.268
1281	1.255
1282	0.937
1283	0.33
1284	0.848
1285	1.282
1286	1.275
1287	0.682
1288	1.442
1289	0.84
1290	0.955
1291	1.291
1292	0.789
1293	1.155
1294	1.045
1295	1.074
1296	1.506
1297	1.151
1298	1.585
1299	0.743
1300	1.667
1301	0.587
1302	1.893
1303	1.341
1304	1.725
1305	1.943
1306	0.166
1307	1.057
1308	1.179
1309	1.193
1310	1.323
1311	0.831
1312	0.773
1313	0.393
1314	0.778
1315	1.041
1316	1.035
1317	0.424
1318	0.714
1319	0.648
1320	0.181
1321	0.394
1322	1.605
1323	1.273
1324	1.197
1325	1.395
1326	2.04
1327	1.975
1328	1.053
1329	1.555
1330	0.477
1331	0.879
1332	0.668
1333	1.122
1334	0.841
1335	0.94
1336	0.928
1337	1.089
1338	0.905
1339	0.958
1340	0.659
1341	0.536
1342	0.395
1343	0.952
1344	1.354
1345	0.978
1346	0.845
1347	0.818
1348	0.941
1349	1.254
1350	0.86
1351	0.784
1352	0.986
1353	0.948
1354	1.224
1355	0.716
1356	0.593
1357	0.919
1358	1.037
1359	1.026
1360	1.135
1361	0.562
1362	1.072
1363	0.801
1364	0.651
1365	0.451
1366	0.779
1367	1.026
1368	0.158
1369	0.53
1370	0.766
1371	0.77
1372	0.741
1373	0.543
1374	0.634
1375	0.777
1376	1.163
1377	1.295
1378	0.514
1379	1.256
1380	1.294
1381	1.042
1382	1.285
1383	0.29
1384	1.18
1385	1.184
1386	0.665
1387	0.837
1388	0.735
1389	1.017
1390	1.012
1391	1.025
1392	0.651
1393	0.32
1394	1.109
1395	0.785
1396	0.877
1397	0.425
1398	1.043
1399	0.876
1400	1.065
1401	0.898
1402	0.933
1403	0.97
1404	0.444
1405	0.781
1406	0.97
1407	0.71
1408	0.486
1409	1.162
1410	1.104
1411	1.569
1412	0.653
1413	1.614
1414	1.872
1415	1.243
1416	1.464
1417	0.619
1418	0.65
1419	1.009
1420	0.608
1421	0.883
1422	1.128
1423	0.988
1424	1.203
1425	0.742
1426	1.146
1427	1.255
1428	0.652
1429	1.569
1430	1.304
1431	0.543
1432	0.398
1433	0.604
1434	0.972
1435	0.772
1436	0.815
1437	0.676
1438	0.794
1439	0.502
1440	0.939
1441	0.631
1442	0.578
1443	1.415
1444	1.09
1445	0.944
1446	1.026
1447	1.152
1448	0.686
1449	1.426
1450	1.023
1451	1.034
1452	1.85
1453	1.524
1454	1.68
1455	0.995
1456	1.212
1457	1.666
1458	1.094
1459	0.822
1460	1.674
1461	1.569
1462	1.803
1463	1.491
1464	1.702
1465	0.834
1466	1.121
1467	0.212
1468	1.686
1469	0.746
1470	1.571
1471	1.162
1472	0.247
1473	1.055
1474	1.283
1475	0.876
1476	0.774
1477	0.738
1478	0.546
1479	0.944
1480	0.978
1481	1.036
1482	1.052
1483	0.553
1484	0.354
1485	0.482
1486	0.842
1487	1
1488	0.567
1489	0.144
1490	1.124
1491	0.995
1492	0.867
1493	1.073
1494	1.428
1495	1.335
1496	1.418
1497	0.792
1498	0.965
1499	0.764
1500	1.204
1501	1.261
1502	1.316
1503	0.372
1504	0.898
1505	1.023
1506	0.866
1507	0.795
1508	1.398
1509	1.535
1510	1.324
1511	1.173
1512	1.098
1513	0.67
1514	0.88
1515	1.024
1516	0.695
1517	0.625
1518	1.527
1519	1.741
1520	1.009
1521	1.146
1522	0.906
1523	1.323
1524	1.263
1525	1.481
1526	0.915
1527	1.619
1528	1.469
1529	1.451
1530	0.63
1531	0.972
1532	1.016
1533	1.195
1534	0.586
1535	0.48
1536	1.102
1537	1.407
1538	1.307
1539	1.625
1540	0.465
1541	1.582
1542	1.518
1543	0.444
1544	1.222
1545	0.698
1546	0.728
1547	1.329
1548	1.412
1549	1.558
1550	1.48
1551	1.937
1552	1.415
1553	1.416
1554	0.663
1555	1.172
1556	0.851
1557	1.61
1558	0.875
1559	1.141
1560	0.958
1561	0.83
1562	0.287
1563	0.991
1564	0.956
1565	0.757
1566	1.423
1567	0.727
1568	1.043
1569	1.061
1570	1.274
1571	0.658
1572	1.322
1573	0.624
1574	1.248
1575	0.893
1576	0.985
1577	1.186
1578	0.576
1579	0.829
1580	0.676
1581	0.951
1582	1.087
1583	1.618
1584	1.291
1585	0.883
1586	0.733
1587	1.295
1588	1.551
1589	0.99
1590	1.462
1591	0.853
1592	0.94
1593	0.717
1594	1.101
1595	1.087
1596	1.129
1597	1.538
1598	1.32
1599	1.115
1600	0.759
1601	1.552
1602	1.049
1603	1.126
1604	1.129
1605	0.894
1606	0.694
1607	1.199
1608	1.062
1609	1.165
1610	0.728
1611	0.987
1612	0.954
1613	1.307
1614	1.336
1615	0.599
1616	1.009
1617	1.217
1618	0.68
1619	0.44
1620	0.634
1621	1.013
1622	0.964
1623	0.691
1624	1.129
1625	1.164
1626	1.005
1627	0.501
1628	0.926
1629	0.587
1630	0.319
1631	1.277
1632	1.376
1633	1.13
1634	1.267
1635	0.285
1636	1.383
1637	0.904
1638	1.165
1639	0.341
1640	1.388
1641	0.905
1642	0.637
1643	0.968
1644	1.064
1645	0.991
1646	0.322
1647	0.403
1648	1.031
1649	1.147
1650	1.176
1651	0.814
1652	1.342
1653	0.929
1654	1.704
1655	0.685
1656	0.876
1657	0.679
1658	1.153
1659	0.982
1660	1.026
1661	0.81
1662	0.799
1663	0.7
1664	1.375
1665	1.146
1666	1.192
1667	0.663
1668	1.269
1669	1.455
1670	1.397
1671	1.084
1672	1.874
1673	1.181
1674	0.533
1675	1.587
1676	1.181
1677	0.951
1678	0.597
1679	1.407
1680	0.584
1681	1.185
1682	0.505
1683	0.689
1684	0.696
1685	0.997
1686	0.893
1687	0.866
1688	0.843
1689	1.19
1690	1.176
1691	1.246
1692	0.405
1693	1.703
1694	1.454
1695	1.306
1696	0.769
1697	1.306
1698	1.671
1699	0.786
1700	0.93
1701	0.671
1702	0.467
1703	0.716
1704	1.295
1705	0.631
1706	0.242
1707	0.471
1708	0.5
1709	1.186
1710	1.426
1711	1.541
1712	0.852
1713	0.818
1714	0.435
1715	0.168
1716	0.319
1717	0.309
1718	0.302
1719	0.447
1720	0.54
1721	0.26
1722	0.815
1723	0.934
1724	1.154
1725	0.724
1726	0.476
1727	0.822
1728	1.361
1729	1.177
1730	0.503
1731	0.746
1732	0.863
1733	0.937
1734	0.752
1735	0.84
1736	0.928
1737	0.432
1738	0.979
1739	0.525
1740	0.449
1741	0.169
1742	0.705
1743	0.83
1744	1.09
1745	1.351
1746	1.03
1747	0.676
1748	1.037
1749	0.829
1750	1.534
1751	0.971
1752	1.534
1753	1.414
1754	1.825
1755	0.873
1756	0.952
1757	0.308
1758	1.207
1759	0.506
1760	0.954
1761	1.315
1762	1.645
1763	1.946
1764	1.148
1765	0.947
1766	0.414
1767	1.598
1768	1.409
1769	1.1
1770	1.407
1771	0.718
1772	0.639
1773	1.17
1774	1.318
1775	1.367
1776	0.75
1777	0.742
1778	1.355
1779	1.433
1780	1.144
1781	1.664
1782	0.928
1783	0.878
1784	1.487
1785	0.639
1786	1.31
1787	1.954
1788	1.441
1789	1.591
1790	1.168
1791	1.312
1792	0.405
1793	0.159
1794	0.713
1795	0.52
1796	0.838
1797	1.054
1798	0.936
1799	0.859
1800	0.307
1801	1.062
1802	0.555
1803	0.877
1804	0.793
1805	0.607
1806	1.114
1807	1.529
1808	1.124
1809	1.153
1810	1.424
1811	1.045
1812	1.186
1813	0.705
1814	0.753
1815	0.345
1816	1.228
1817	0.519
1818	1.13
1819	1.433
1820	0.772
1821	1.236
1822	1.184
1823	0.97
1824	0.788
1825	0.445
1826	1.711
1827	1.403
1828	1.341
1829	1.992
1830	2.144
1831	0.899
1832	1.02
1833	0.812
1834	1.432
1835	0.833
1836	1.301
1837	0.549
1838	0.788
1839	0.874
1840	1.312
1841	0.584
1842	0.437
1843	0.178
1844	0.436
1845	1.105
1846	0.967
1847	0.221
1848	1.145
1849	1.117
1850	0.895
1851	0.787
1852	0.488
1853	0.428
1854	0.939
1855	1.117
1856	1.266
1857	0.855
1858	0.651
1859	0.178
1860	0.794
1861	0.366
1862	0.839
1863	0.637
1864	0.428
1865	1.017
1866	0.986
1867	0.853
1868	0.66
1869	0.516
1870	0.686
1871	0.932
1872	1.16
1873	1.177
1874	1.178
1875	1.098
1876	1.255
1877	0.958
1878	1.007
1879	1.521
1880	1.218
1881	1.563
1882	0.764
1883	1.01
1884	0.65
1885	1.061
1886	1.315
1887	1.102
1888	1.074
1889	0.254
1890	0.721
1891	0.499
1892	1.116
1893	1.218
1894	0.434
1895	1.235
1896	0.698
1897	1.328
1898	0.937
1899	0.683
1900	1.532
1901	1.401
1902	1.621
1903	1.303
1904	1.75
1905	1.331
1906	0.808
1907	1.114
1908	1.692
1909	1.113
1910	1.514
1911	1.323
1912	1.416
1913	1.362
1914	1.855
1915	1.137
1916	1.802
1917	1.819
1918	1.333
1919	0.757
1920	0.692
1921	0.67
1922	0.931
1923	1.311
1924	0.994
1925	1.102
1926	0.928
1927	1.141
1928	1.076
1929	0.353
1930	1.098
1931	0.577
1932	1.187
1933	0.539
1934	0.887
1935	1.092
1936	0.606
1937	1.067
1938	0.728
1939	0.659
1940	0.178
1941	0.093
1942	0.949
1943	0.859
1944	1.044
1945	0.655
1946	0.946
1947	0.997
1948	1.031
1949	0.586
1950	1.159
1951	1.09
1952	0.619
1953	1.452
1954	1.602
1955	0.895
1956	1.171
1957	0.654
1958	0.85
1959	1.194
1960	0.748
1961	0.336
1962	1.067
1963	0.704
1964	1.42
1965	1.306
1966	1.37
1967	0.899
1968	0.795
1969	0.873
1970	0.576
1971	0.962
1972	0.942
1973	1.093
1974	1.084
1975	0.333
1976	0.889
1977	0.531
1978	1.289
1979	1.157
1980	1.271
1981	1.058
1982	1.269
1983	0.29
1984	1.024
1985	0.35
1986	0.888
1987	1.063
1988	1.035
1989	0.748
1990	1.275
1991	1.197
1992	0.887
1993	0.653
1994	0.784
1995	0.667
1996	0.817