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1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694
PLANT_UNQ,YEAR,CLASS,OBS_ID,COHORT,PLANT NUM,xDIAM_cm,SEEDS_DC,MEDIAN_INFL,INFL_CLASS,MAX_INFL,OBS_INLF,SEEDS_YR_INF,CAGED,WATERED
A_1,1994,A1,1,A,1,12,26.7,5,1,111,,,N,N
A_3,1994,A1,3,A,3,11,26.7,0,0,0,,,N,N
B_13,1994,A1,20,B,13,17,26.7,5,1,111,,,N,N
B_17,1994,A1,24,B,17,12,26.7,0,0,0,,,N,N
B_4,1994,A1,11,B,4,18,26.7,5,1,111,,,N,N
B_9,1994,A1,16,B,9,12,26.7,5,1,111,,,N,N
B_14,1994,A2,21,B,14,23,476.6,18,2,123,,,N,N
B_19,1994,A2,26,B,19,22,476.6,18,2,123,,,N,N
B_5,1994,A2,12,B,5,29,476.6,18,2,123,,,N,N
A_2,1994,A3,2,A,2,32,668.1,18,2,123,,,N,N
A_7,1994,A3,7,A,7,36,668.1,18,2,123,,,N,N
A_5,1994,A4,5,A,5,48,1860,18,2,123,,,N,N
B_6,1994,A4,13,B,6,49,1860,181,4,312,,,N,N
A_4,1994,J,4,A,4,5,0,0,0,0,,,N,N
A_6,1994,J,6,A,6,7,0,0,0,0,,,N,N
B_1,1994,J,8,B,1,8,0,0,0,0,,,N,N
B_10,1994,J,17,B,10,6,0,0,0,0,,,N,N
B_11,1994,J,18,B,11,5,0,0,0,0,,,N,N
B_12,1994,J,19,B,12,5,0,0,0,0,,,N,N
B_15,1994,J,22,B,15,9,0,0,0,0,,,N,N
B_16,1994,J,23,B,16,9,0,0,0,0,,,N,N
B_18,1994,J,25,B,18,8,0,0,0,0,,,N,N
B_2,1994,J,9,B,2,3,0,0,0,0,,,N,N
B_3,1994,J,10,B,3,5,0,0,0,0,,,N,N
B_7,1994,J,14,B,7,4,0,0,0,0,,,N,N
B_8,1994,J,15,B,8,4,0,0,0,0,,,N,N
A_3,1995,A1,29,A,3,18,26.7,18,2,123,,,N,N
A_4,1995,A1,30,A,4,14,26.7,5,1,111,,,N,N
A_6,1995,A1,32,A,6,15,26.7,18,2,123,,,N,N
B_10,1995,A1,41,B,10,14,26.7,5,1,111,,,N,N
B_11,1995,A1,42,B,11,11,26.7,0,0,0,,,N,N
B_13,1995,A1,43,B,13,14,26.7,0,0,0,,,N,N
B_14,1995,A1,44,B,14,18,26.7,5,1,111,,,N,N
B_18,1995,A1,46,B,18,19,26.7,18,2,123,,,N,N
B_3,1995,A1,35,B,3,20,26.7,18,2,123,,,N,N
B_7,1995,A1,39,B,7,15,26.7,18,2,123,,,N,N
C_23,1995,A1,70,C,23,16,26.7,5,1,111,,,N,N
C_3,1995,A1,50,C,3,17,26.7,5,1,111,,,N,N
C_9,1995,A1,56,C,9,12,26.7,0,0,0,,,N,N
D_10,1995,A1,83,D,10,14,26.7,0,0,0,,,N,N
D_18,1995,A1,91,D,18,20,26.7,18,2,123,,,N,N
D_26,1995,A1,99,D,26,11,26.7,0,0,0,,,N,N
D_29,1995,A1,102,D,29,13,26.7,5,1,111,,,N,N
D_6,1995,A1,79,D,6,11,26.7,0,0,0,,,N,N
D_7,1995,A1,80,D,7,19,26.7,5,1,111,,,N,N
E_1,1995,A1,103,E,1,16,26.7,5,1,111,,,N,N
E_10,1995,A1,112,E,10,14,26.7,0,0,0,,,N,N
E_2,1995,A1,104,E,2,11,26.7,0,0,0,,,N,N
E_8,1995,A1,110,E,8,15,26.7,0,0,0,,,N,N
F_18,1995,A1,134,F,18,13,26.7,0,0,0,,,N,N
F_2,1995,A1,118,F,2,13,26.7,5,1,111,,,N,N
F_20,1995,A1,136,F,20,16,26.7,5,1,111,,,N,N
G_8,1995,A1,146,G,8,19,26.7,18,2,123,,,N,N
H_12,1995,A1,162,H,12,11,26.7,0,0,0,,,N,N
H_13,1995,A1,163,H,13,15,26.7,5,1,111,,,N,N
H_2,1995,A1,152,H,2,15,26.7,0,0,0,,,N,N
I_2,1995,A1,172,I,2,17,26.7,5,1,111,,,N,N
A_1,1995,A2,27,A,1,21,476.6,18,2,123,,,N,N
B_1,1995,A2,34,B,1,22,476.6,18,2,123,,,N,N
B_9,1995,A2,40,B,9,23,476.6,5,1,111,,,N,N
C_26,1995,A2,73,C,26,23,476.6,18,2,123,,,N,N
C_4,1995,A2,51,C,4,24,476.6,18,2,123,,,N,N
D_15,1995,A2,88,D,15,23,476.6,5,1,111,,,N,N
D_8,1995,A2,81,D,8,28,476.6,18,2,123,,,N,N
E_12,1995,A2,114,E,12,25,476.6,38,3,227,,,N,N
E_3,1995,A2,105,E,3,26,476.6,38,3,227,,,N,N
F_13,1995,A2,129,F,13,24,476.6,18,2,123,,,N,N
F_22,1995,A2,138,F,22,27,476.6,38,3,227,,,N,N
F_5,1995,A2,121,F,5,21,476.6,18,2,123,,,N,N
G_9,1995,A2,147,G,9,27,476.6,38,3,227,,,N,N
H_16,1995,A2,166,H,16,26,476.6,38,3,227,,,N,N
I_5,1995,A2,175,I,5,21,476.6,18,2,123,,,N,N
I_8,1995,A2,178,I,8,30,476.6,38,3,227,,,N,N
I_9,1995,A2,179,I,9,29,476.6,18,2,123,,,N,N
A_2,1995,A3,28,A,2,36,668.1,38,3,227,,,N,N
B_4,1995,A3,36,B,4,34,668.1,38,3,227,,,N,N
B_5,1995,A3,37,B,5,37,668.1,38,3,227,,,N,N
C_10,1995,A3,57,C,10,36,668.1,38,3,227,,,N,N
C_17,1995,A3,64,C,17,40,668.1,38,3,227,,,N,N
D_14,1995,A3,87,D,14,37,668.1,38,3,227,,,N,N
D_19,1995,A3,92,D,19,40,668.1,181,4,312,,,N,N
D_24,1995,A3,97,D,24,31,668.1,38,3,227,,,N,N
D_28,1995,A3,101,D,28,34,668.1,38,3,227,,,N,N
F_11,1995,A3,127,F,11,31,668.1,181,4,312,,,N,N
F_6,1995,A3,122,F,6,38,668.1,181,4,312,,,N,N
H_4,1995,A3,154,H,4,37,668.1,181,4,312,,,N,N
H_9,1995,A3,159,H,9,31,668.1,18,2,123,,,N,N
A_5,1995,A4,31,A,5,56,1860,181,4,312,,,N,N
A_7,1995,A4,33,A,7,45,1860,38,3,227,,,N,N
B_19,1995,A4,47,B,19,46,1860,181,4,312,,,N,N
B_6,1995,A4,38,B,6,44,1860,38,3,227,,,N,N
C_12,1995,A4,59,C,12,63,1860,181,4,312,,,N,N
C_18,1995,A4,65,C,18,51,1860,181,4,312,,,N,N
D_1,1995,A4,74,D,1,41,1860,38,3,227,,,N,N
E_11,1995,A4,113,E,11,47,1860,181,4,312,,,N,N
E_9,1995,A4,111,E,9,43,1860,181,4,312,,,N,N
F_12,1995,A4,128,F,12,47,1860,181,4,312,,,N,N
H_3,1995,A4,153,H,3,47,1860,181,4,312,,,N,N
B_12,1995,dead,615,B,12,0,0,0,0,0,,,N,N
B_15,1995,dead,616,B,15,0,0,0,0,0,,,N,N
B_17,1995,dead,617,B,17,0,0,0,0,0,,,N,N
B_2,1995,dead,618,B,2,0,0,0,0,0,,,N,N
B_8,1995,dead,619,B,8,0,0,0,0,0,,,N,N
B_16,1995,J,45,B,16,10,0,0,0,0,,,N,N
C_1,1995,J,48,C,1,3,0,0,0,0,,,N,N
C_11,1995,J,58,C,11,9,0,0,0,0,,,N,N
C_13,1995,J,60,C,13,5,0,0,0,0,,,N,N
C_14,1995,J,61,C,14,7,0,0,0,0,,,N,N
C_15,1995,J,62,C,15,6,0,0,0,0,,,N,N
C_16,1995,J,63,C,16,10,0,0,0,0,,,N,N
C_19,1995,J,66,C,19,3,0,0,0,0,,,N,N
C_2,1995,J,49,C,2,4,0,0,0,0,,,N,N
C_20,1995,J,67,C,20,4,0,0,0,0,,,N,N
C_21,1995,J,68,C,21,2,0,0,0,0,,,N,N
C_22,1995,J,69,C,22,7,0,0,0,0,,,N,N
C_24,1995,J,71,C,24,3,0,0,0,0,,,N,N
C_25,1995,J,72,C,25,5,0,0,0,0,,,N,N
C_5,1995,J,52,C,5,6,0,0,0,0,,,N,N
C_6,1995,J,53,C,6,3,0,0,0,0,,,N,N
C_7,1995,J,54,C,7,8,0,0,0,0,,,N,N
C_8,1995,J,55,C,8,5,0,0,0,0,,,N,N
D_11,1995,J,84,D,11,8,0,0,0,0,,,N,N
D_12,1995,J,85,D,12,7,0,0,0,0,,,N,N
D_13,1995,J,86,D,13,9,0,0,0,0,,,N,N
D_16,1995,J,89,D,16,10,0,0,0,0,,,N,N
D_17,1995,J,90,D,17,6,0,0,0,0,,,N,N
D_2,1995,J,75,D,2,4,0,0,0,0,,,N,N
D_20,1995,J,93,D,20,7,0,0,0,0,,,N,N
D_21,1995,J,94,D,21,8,0,0,0,0,,,N,N
D_22,1995,J,95,D,22,6,0,0,0,0,,,N,N
D_23,1995,J,96,D,23,5,0,0,0,0,,,N,N
D_25,1995,J,98,D,25,5,0,0,0,0,,,N,N
D_27,1995,J,100,D,27,9,0,0,0,0,,,N,N
D_3,1995,J,76,D,3,7,0,0,0,0,,,N,N
D_4,1995,J,77,D,4,8,0,0,0,0,,,N,N
D_5,1995,J,78,D,5,7,0,0,0,0,,,N,N
D_9,1995,J,82,D,9,7,0,0,0,0,,,N,N
E_13,1995,J,115,E,13,5,0,0,0,0,,,N,N
E_14,1995,J,116,E,14,6,0,0,0,0,,,N,N
E_4,1995,J,106,E,4,4,0,0,0,0,,,N,N
E_5,1995,J,107,E,5,8,0,0,0,0,,,N,N
E_6,1995,J,108,E,6,4,0,0,0,0,,,N,N
E_7,1995,J,109,E,7,7,0,0,0,0,,,N,N
F_1,1995,J,117,F,1,9,0,0,0,0,,,N,N
F_10,1995,J,126,F,10,6,0,0,0,0,,,N,N
F_14,1995,J,130,F,14,5,0,0,0,0,,,N,N
F_15,1995,J,131,F,15,8,0,0,0,0,,,N,N
F_16,1995,J,132,F,16,9,0,0,0,0,,,N,N
F_17,1995,J,133,F,17,6,0,0,0,0,,,N,N
F_19,1995,J,135,F,19,6,0,0,0,0,,,N,N
F_21,1995,J,137,F,21,3,0,0,0,0,,,N,N
F_3,1995,J,119,F,3,7,0,0,0,0,,,N,N
F_4,1995,J,120,F,4,7,0,0,0,0,,,N,N
F_7,1995,J,123,F,7,5,0,0,0,0,,,N,N
F_8,1995,J,124,F,8,4,0,0,0,0,,,N,N
F_9,1995,J,125,F,9,9,0,0,0,0,,,N,N
G_1,1995,J,139,G,1,5,0,0,0,0,,,N,N
G_10,1995,J,148,G,10,6,0,0,0,0,,,N,N
G_11,1995,J,149,G,11,7,0,0,0,0,,,N,N
G_12,1995,J,150,G,12,5,0,0,0,0,,,N,N
G_2,1995,J,140,G,2,6,0,0,0,0,,,N,N
G_3,1995,J,141,G,3,5,0,0,0,0,,,N,N
G_4,1995,J,142,G,4,9,0,0,0,0,,,N,N
G_5,1995,J,143,G,5,3,0,0,0,0,,,N,N
G_6,1995,J,144,G,6,6,0,0,0,0,,,N,N
G_7,1995,J,145,G,7,8,0,0,0,0,,,N,N
H_1,1995,J,151,H,1,6,0,0,0,0,,,N,N
H_10,1995,J,160,H,10,4,0,0,0,0,,,N,N
H_11,1995,J,161,H,11,8,0,0,0,0,,,N,N
H_14,1995,J,164,H,14,5,0,0,0,0,,,N,N
H_15,1995,J,165,H,15,7,0,0,0,0,,,N,N
H_17,1995,J,167,H,17,6,0,0,0,0,,,N,N
H_18,1995,J,168,H,18,4,0,0,0,0,,,N,N
H_19,1995,J,169,H,19,8,0,0,0,0,,,N,N
H_20,1995,J,170,H,20,10,0,0,0,0,,,N,N
H_5,1995,J,155,H,5,6,0,0,0,0,,,N,N
H_6,1995,J,156,H,6,5,0,0,0,0,,,N,N
H_7,1995,J,157,H,7,6,0,0,0,0,,,N,N
H_8,1995,J,158,H,8,8,0,0,0,0,,,N,N
I_1,1995,J,171,I,1,7,0,0,0,0,,,N,N
I_3,1995,J,173,I,3,5,0,0,0,0,,,N,N
I_4,1995,J,174,I,4,8,0,0,0,0,,,N,N
I_6,1995,J,176,I,6,5,0,0,0,0,,,N,N
I_7,1995,J,177,I,7,8,0,0,0,0,,,N,N
A_3,1996,A1,181,A,3,13,26.7,5,1,111,,,N,N
A_4,1996,A1,182,A,4,11,26.7,0,0,0,,,N,N
B_1,1996,A1,185,B,1,18,26.7,5,1,111,,,N,N
B_10,1996,A1,191,B,10,12,26.7,0,0,0,,,N,N
B_13,1996,A1,192,B,13,12,26.7,0,0,0,,,N,N
B_18,1996,A1,194,B,18,20,26.7,5,1,111,,,N,N
B_4,1996,A1,186,B,4,18,26.7,0,0,0,,,N,N
B_7,1996,A1,189,B,7,16,26.7,5,1,111,,,N,N
C_15,1996,A1,203,C,15,14,26.7,5,1,111,,,N,N
C_16,1996,A1,204,C,16,16,26.7,5,1,111,,,N,N
C_22,1996,A1,209,C,22,11,26.7,0,0,0,,,N,N
C_25,1996,A1,211,C,25,12,26.7,0,0,0,,,N,N
C_26,1996,A1,212,C,26,20,26.7,18,2,123,,,N,N
C_4,1996,A1,197,C,4,15,26.7,18,2,123,,,N,N
C_8,1996,A1,199,C,8,11,26.7,0,0,0,,,N,N
C_9,1996,A1,200,C,9,20,26.7,5,1,111,,,N,N
D_10,1996,A1,219,D,10,13,26.7,0,0,0,,,N,N
D_11,1996,A1,220,D,11,11,26.7,0,0,0,,,N,N
D_15,1996,A1,222,D,15,14,26.7,0,0,0,,,N,N
D_16,1996,A1,223,D,16,14,26.7,5,1,111,,,N,N
D_26,1996,A1,227,D,26,12,26.7,0,0,0,,,N,N
D_27,1996,A1,228,D,27,13,26.7,0,0,0,,,N,N
D_29,1996,A1,230,D,29,15,26.7,0,0,0,,,N,N
D_4,1996,A1,215,D,4,11,26.7,0,0,0,,,N,N
D_6,1996,A1,216,D,6,15,26.7,0,0,0,,,N,N
E_1,1996,A1,231,E,1,11,26.7,0,0,0,,,N,N
E_10,1996,A1,238,E,10,14,26.7,5,1,111,,,N,N
E_2,1996,A1,232,E,2,12,26.7,0,0,0,,,N,N
E_3,1996,A1,233,E,3,20,26.7,18,2,123,,,N,N
E_5,1996,A1,234,E,5,12,26.7,0,0,0,,,N,N
E_8,1996,A1,236,E,8,13,26.7,0,0,0,,,N,N
F_13,1996,A1,251,F,13,20,26.7,18,2,123,,,N,N
F_15,1996,A1,252,F,15,15,26.7,5,1,111,,,N,N
F_18,1996,A1,253,F,18,12,26.7,0,0,0,,,N,N
F_2,1996,A1,243,F,2,12,26.7,5,1,111,,,N,N
F_20,1996,A1,255,F,20,14,26.7,5,1,111,,,N,N
F_4,1996,A1,244,F,4,11,26.7,5,1,111,,,N,N
F_5,1996,A1,245,F,5,20,26.7,18,2,123,,,N,N
F_9,1996,A1,248,F,9,12,26.7,0,0,0,,,N,N
G_1,1996,A1,257,G,1,12,26.7,5,1,111,,,N,N
G_11,1996,A1,261,G,11,11,26.7,0,0,0,,,N,N
G_8,1996,A1,259,G,8,15,26.7,5,1,111,,,N,N
H_12,1996,A1,271,H,12,15,26.7,0,0,0,,,N,N
H_13,1996,A1,272,H,13,13,26.7,5,1,111,,,N,N
H_2,1996,A1,264,H,2,12,26.7,0,0,0,,,N,N
H_8,1996,A1,268,H,8,11,26.7,0,0,0,,,N,N
I_2,1996,A1,276,I,2,12,26.7,0,0,0,,,N,N
I_4,1996,A1,277,I,4,11,26.7,0,0,0,,,N,N
I_5,1996,A1,278,I,5,15,26.7,5,1,111,,,N,N
A_7,1996,A2,184,A,7,30,476.6,5,1,111,,,N,N
B_14,1996,A2,193,B,14,21,476.6,5,1,111,,,N,N
B_9,1996,A2,190,B,9,22,476.6,18,2,123,,,N,N
C_23,1996,A2,210,C,23,21,476.6,5,1,111,,,N,N
D_18,1996,A2,224,D,18,22,476.6,18,2,123,,,N,N
D_24,1996,A2,226,D,24,26,476.6,18,2,123,,,N,N
D_7,1996,A2,217,D,7,21,476.6,5,1,111,,,N,N
D_8,1996,A2,218,D,8,26,476.6,18,2,123,,,N,N
E_12,1996,A2,240,E,12,28,476.6,18,2,123,,,N,N
F_11,1996,A2,249,F,11,26,476.6,18,2,123,,,N,N
F_22,1996,A2,256,F,22,24,476.6,18,2,123,,,N,N
G_9,1996,A2,260,G,9,22,476.6,18,2,123,,,N,N
H_16,1996,A2,273,H,16,22,476.6,5,1,111,,,N,N
I_8,1996,A2,279,I,8,26,476.6,18,2,123,,,N,N
I_9,1996,A2,280,I,9,26,476.6,18,2,123,,,N,N
A_2,1996,A3,180,A,2,32,668.1,5,1,111,,,N,N
B_19,1996,A3,195,B,19,39,668.1,18,2,123,,,N,N
B_5,1996,A3,187,B,5,40,668.1,38,3,227,,,N,N
B_6,1996,A3,188,B,6,36,668.1,18,2,123,,,N,N
C_10,1996,A3,201,C,10,35,668.1,18,2,123,,,N,N
C_17,1996,A3,205,C,17,31,668.1,18,2,123,,,N,N
D_1,1996,A3,213,D,1,37,668.1,18,2,123,,,N,N
D_14,1996,A3,221,D,14,32,668.1,18,2,123,,,N,N
D_19,1996,A3,225,D,19,34,668.1,38,3,227,,,N,N
D_28,1996,A3,229,D,28,35,668.1,38,3,227,,,N,N
E_11,1996,A3,239,E,11,38,668.1,38,3,227,,,N,N
F_6,1996,A3,246,F,6,39,668.1,38,3,227,,,N,N
H_4,1996,A3,266,H,4,33,668.1,18,2,123,,,N,N
H_9,1996,A3,269,H,9,32,668.1,38,3,227,,,N,N
A_5,1996,A4,183,A,5,41,1860,18,2,123,,,N,N
C_12,1996,A4,202,C,12,54,1860,38,3,227,,,N,N
C_18,1996,A4,206,C,18,43,1860,38,3,227,,,N,N
E_9,1996,A4,237,E,9,41,1860,18,2,123,,,N,N
F_12,1996,A4,250,F,12,41,1860,38,3,227,,,N,N
H_3,1996,A4,265,H,3,42,1860,38,3,227,,,N,N
A_1,1996,dead,620,A,1,0,0,0,0,0,,,N,N
A_6,1996,dead,621,A,6,0,0,0,0,0,,,N,N
B_11,1996,dead,622,B,11,0,0,0,0,0,,,N,N
B_16,1996,dead,623,B,16,0,0,0,0,0,,,N,N
B_3,1996,dead,624,B,3,0,0,0,0,0,,,N,N
C_11,1996,dead,625,C,11,0,0,0,0,0,,,N,N
C_13,1996,dead,626,C,13,0,0,0,0,0,,,N,N
C_14,1996,dead,627,C,14,0,0,0,0,0,,,N,N
C_2,1996,dead,628,C,2,0,0,0,0,0,,,N,N
C_21,1996,dead,629,C,21,0,0,0,0,0,,,N,N
C_24,1996,dead,630,C,24,0,0,0,0,0,,,N,N
C_3,1996,dead,631,C,3,0,0,0,0,0,,,N,N
C_6,1996,dead,632,C,6,0,0,0,0,0,,,N,N
C_7,1996,dead,633,C,7,0,0,0,0,0,,,N,N
D_12,1996,dead,634,D,12,0,0,0,0,0,,,N,N
D_13,1996,dead,635,D,13,0,0,0,0,0,,,N,N
D_17,1996,dead,636,D,17,0,0,0,0,0,,,N,N
D_2,1996,dead,637,D,2,0,0,0,0,0,,,N,N
D_20,1996,dead,638,D,20,0,0,0,0,0,,,N,N
D_21,1996,dead,639,D,21,0,0,0,0,0,,,N,N
D_22,1996,dead,640,D,22,0,0,0,0,0,,,N,N
D_23,1996,dead,641,D,23,0,0,0,0,0,,,N,N
D_25,1996,dead,642,D,25,0,0,0,0,0,,,N,N
D_5,1996,dead,643,D,5,0,0,0,0,0,,,N,N
D_9,1996,dead,644,D,9,0,0,0,0,0,,,N,N
E_13,1996,dead,645,E,13,0,0,0,0,0,,,N,N
E_4,1996,dead,646,E,4,0,0,0,0,0,,,N,N
E_6,1996,dead,647,E,6,0,0,0,0,0,,,N,N
F_10,1996,dead,648,F,10,0,0,0,0,0,,,N,N
F_14,1996,dead,649,F,14,0,0,0,0,0,,,N,N
F_16,1996,dead,650,F,16,0,0,0,0,0,,,N,N
F_17,1996,dead,651,F,17,0,0,0,0,0,,,N,N
F_21,1996,dead,652,F,21,0,0,0,0,0,,,N,N
F_3,1996,dead,653,F,3,0,0,0,0,0,,,N,N
F_7,1996,dead,654,F,7,0,0,0,0,0,,,N,N
G_10,1996,dead,655,G,10,0,0,0,0,0,,,N,N
G_2,1996,dead,656,G,2,0,0,0,0,0,,,N,N
G_3,1996,dead,657,G,3,0,0,0,0,0,,,N,N
G_5,1996,dead,658,G,5,0,0,0,0,0,,,N,N
G_6,1996,dead,659,G,6,0,0,0,0,0,,,N,N
G_7,1996,dead,660,G,7,0,0,0,0,0,,,N,N
H_10,1996,dead,661,H,10,0,0,0,0,0,,,N,N
H_14,1996,dead,662,H,14,0,0,0,0,0,,,N,N
H_15,1996,dead,663,H,15,0,0,0,0,0,,,N,N
H_18,1996,dead,664,H,18,0,0,0,0,0,,,N,N
H_20,1996,dead,665,H,20,0,0,0,0,0,,,N,N
H_5,1996,dead,666,H,5,0,0,0,0,0,,,N,N
H_6,1996,dead,667,H,6,0,0,0,0,0,,,N,N
I_1,1996,dead,668,I,1,0,0,0,0,0,,,N,N
I_3,1996,dead,669,I,3,0,0,0,0,0,,,N,N
I_6,1996,dead,670,I,6,0,0,0,0,0,,,N,N
I_7,1996,dead,671,I,7,0,0,0,0,0,,,N,N
C_1,1996,J,196,C,1,5,0,0,0,0,,,N,N
C_19,1996,J,207,C,19,6,0,0,0,0,,,N,N
C_20,1996,J,208,C,20,8,0,0,0,0,,,N,N
C_5,1996,J,198,C,5,7,0,0,0,0,,,N,N
D_3,1996,J,214,D,3,7,0,0,0,0,,,N,N
E_14,1996,J,241,E,14,10,0,0,0,0,,,N,N
E_7,1996,J,235,E,7,6,0,0,0,0,,,N,N
F_1,1996,J,242,F,1,10,0,0,0,0,,,N,N
F_19,1996,J,254,F,19,9,0,0,0,0,,,N,N
F_8,1996,J,247,F,8,8,0,0,0,0,,,N,N
G_12,1996,J,262,G,12,6,0,0,0,0,,,N,N
G_4,1996,J,258,G,4,8,0,0,0,0,,,N,N
H_1,1996,J,263,H,1,10,0,0,0,0,,,N,N
H_17,1996,J,274,H,17,7,0,0,0,0,,,N,N
H_19,1996,J,275,H,19,7,0,0,0,0,,,N,N
H_7,1996,J,267,H,7,9,0,0,0,0,,,N,N
B_1,1997,A1,284,B,1,19,26.7,5,1,111,,,N,N
B_10,1997,A1,289,B,10,14,26.7,5,1,111,,,N,N
C_16,1997,A1,297,C,16,17,26.7,5,1,111,,,N,N
C_22,1997,A1,300,C,22,14,26.7,0,0,0,,,N,N
C_23,1997,A1,301,C,23,15,26.7,0,0,0,,,N,N
C_26,1997,A1,302,C,26,15,26.7,5,1,111,,,N,N
C_5,1997,A1,293,C,5,15,26.7,5,1,111,,,N,N
D_10,1997,A1,307,D,10,14,26.7,5,1,111,,,N,N
D_16,1997,A1,309,D,16,15,26.7,5,1,111,,,N,N
D_26,1997,A1,313,D,26,15,26.7,5,1,111,,,N,N
D_4,1997,A1,304,D,4,15,26.7,5,1,111,,,N,N
D_6,1997,A1,305,D,6,14,26.7,5,1,111,,,N,N
E_10,1997,A1,322,E,10,16,26.7,5,1,111,,,N,N
E_12,1997,A1,324,E,12,19,26.7,5,1,111,,,N,N
E_2,1997,A1,316,E,2,15,26.7,5,1,111,,,N,N
E_5,1997,A1,318,E,5,11,26.7,5,1,111,,,N,N
E_7,1997,A1,319,E,7,12,26.7,5,1,111,,,N,N
E_8,1997,A1,320,E,8,15,26.7,5,1,111,,,N,N
F_1,1997,A1,325,F,1,11,26.7,0,0,0,,,N,N
F_11,1997,A1,330,F,11,16,26.7,5,1,111,,,N,N
F_13,1997,A1,332,F,13,17,26.7,5,1,111,,,N,N
F_15,1997,A1,333,F,15,11,26.7,0,0,0,,,N,N
F_20,1997,A1,334,F,20,12,26.7,5,1,111,,,N,N
F_5,1997,A1,327,F,5,12,26.7,5,1,111,,,N,N
F_9,1997,A1,329,F,9,12,26.7,0,0,0,,,N,N
G_1,1997,A1,336,G,1,11,26.7,5,1,111,,,N,N
G_11,1997,A1,338,G,11,13,26.7,0,0,0,,,N,N
G_12,1997,A1,339,G,12,11,26.7,0,0,0,,,N,N
G_9,1997,A1,337,G,9,20,26.7,5,1,111,,,N,N
H_11,1997,A1,345,H,11,13,26.7,5,1,111,,,N,N
H_13,1997,A1,346,H,13,15,26.7,0,0,0,,,N,N
H_16,1997,A1,347,H,16,19,26.7,5,1,111,,,N,N
H_19,1997,A1,348,H,19,11,26.7,0,0,0,,,N,N
H_2,1997,A1,340,H,2,11,26.7,0,0,0,,,N,N
H_8,1997,A1,343,H,8,14,26.7,5,1,111,,,N,N
I_5,1997,A1,349,I,5,18,26.7,5,1,111,,,N,N
A_3,1997,A2,282,A,3,21,476.6,18,2,123,,,N,N
B_14,1997,A2,290,B,14,25,476.6,18,2,123,,,N,N
B_7,1997,A2,287,B,7,27,476.6,18,2,123,,,N,N
B_9,1997,A2,288,B,9,26,476.6,38,3,227,,,N,N
C_17,1997,A2,298,C,17,27,476.6,18,2,123,,,N,N
C_4,1997,A2,292,C,4,23,476.6,5,1,111,,,N,N
C_8,1997,A2,294,C,8,21,476.6,5,1,111,,,N,N
C_9,1997,A2,295,C,9,22,476.6,18,2,123,,,N,N
D_14,1997,A2,308,D,14,27,476.6,18,2,123,,,N,N
D_18,1997,A2,310,D,18,25,476.6,18,2,123,,,N,N
D_19,1997,A2,311,D,19,27,476.6,18,2,123,,,N,N
D_24,1997,A2,312,D,24,23,476.6,18,2,123,,,N,N
D_8,1997,A2,306,D,8,23,476.6,18,2,123,,,N,N
E_3,1997,A2,317,E,3,23,476.6,18,2,123,,,N,N
F_22,1997,A2,335,F,22,24,476.6,5,1,111,,,N,N
H_4,1997,A2,342,H,4,30,476.6,38,3,227,,,N,N
H_9,1997,A2,344,H,9,25,476.6,18,2,123,,,N,N
I_8,1997,A2,350,I,8,26,476.6,18,2,123,,,N,N
I_9,1997,A2,351,I,9,23,476.6,5,1,111,,,N,N
A_2,1997,A3,281,A,2,37,668.1,38,3,227,,,N,N
B_19,1997,A3,291,B,19,35,668.1,38,3,227,,,N,N
B_5,1997,A3,285,B,5,38,668.1,38,3,227,,,N,N
D_1,1997,A3,303,D,1,33,668.1,38,3,227,,,N,N
D_28,1997,A3,315,D,28,40,668.1,181,4,312,,,N,N
E_11,1997,A3,323,E,11,34,668.1,18,2,123,,,N,N
E_9,1997,A3,321,E,9,35,668.1,38,3,227,,,N,N
F_12,1997,A3,331,F,12,32,668.1,18,2,123,,,N,N
F_6,1997,A3,328,F,6,35,668.1,38,3,227,,,N,N
H_3,1997,A3,341,H,3,36,668.1,18,2,123,,,N,N
A_5,1997,A4,283,A,5,46,1860,38,3,227,,,N,N
B_6,1997,A4,286,B,6,41,1860,38,3,227,,,N,N
C_12,1997,A4,296,C,12,48,1860,38,3,227,,,N,N
C_18,1997,A4,299,C,18,46,1860,38,3,227,,,N,N
A_4,1997,dead,672,A,4,0,0,0,0,0,,,N,N
A_7,1997,dead,673,A,7,0,0,0,0,0,,,N,N
B_13,1997,dead,674,B,13,0,0,0,0,0,,,N,N
B_18,1997,dead,675,B,18,0,0,0,0,0,,,N,N
B_4,1997,dead,676,B,4,0,0,0,0,0,,,N,N
C_1,1997,dead,677,C,1,0,0,0,0,0,,,N,N
C_10,1997,dead,678,C,10,0,0,0,0,0,,,N,N
C_15,1997,dead,679,C,15,0,0,0,0,0,,,N,N
C_19,1997,dead,680,C,19,0,0,0,0,0,,,N,N
C_20,1997,dead,681,C,20,0,0,0,0,0,,,N,N
C_25,1997,dead,682,C,25,0,0,0,0,0,,,N,N
D_11,1997,dead,683,D,11,0,0,0,0,0,,,N,N
D_15,1997,dead,684,D,15,0,0,0,0,0,,,N,N
D_29,1997,dead,685,D,29,0,0,0,0,0,,,N,N
D_3,1997,dead,686,D,3,0,0,0,0,0,,,N,N
D_7,1997,dead,687,D,7,0,0,0,0,0,,,N,N
E_1,1997,dead,688,E,1,0,0,0,0,0,,,N,N
E_14,1997,dead,689,E,14,0,0,0,0,0,,,N,N
F_18,1997,dead,690,F,18,0,0,0,0,0,,,N,N
F_19,1997,dead,691,F,19,0,0,0,0,0,,,N,N
F_2,1997,dead,692,F,2,0,0,0,0,0,,,N,N
F_8,1997,dead,693,F,8,0,0,0,0,0,,,N,N
G_4,1997,dead,694,G,4,0,0,0,0,0,,,N,N
G_8,1997,dead,695,G,8,0,0,0,0,0,,,N,N
H_1,1997,dead,696,H,1,0,0,0,0,0,,,N,N
H_12,1997,dead,697,H,12,0,0,0,0,0,,,N,N
H_17,1997,dead,698,H,17,0,0,0,0,0,,,N,N
H_7,1997,dead,699,H,7,0,0,0,0,0,,,N,N
I_2,1997,dead,700,I,2,0,0,0,0,0,,,N,N
I_4,1997,dead,701,I,4,0,0,0,0,0,,,N,N
D_27,1997,J,314,D,27,10,0,0,0,0,,,N,N
F_4,1997,J,326,F,4,9,0,0,0,0,,,N,N
D_10,1998,A1,376,D,10,20,26.7,18,2,123,,,N,N
E_12,1998,A1,391,E,12,12,26.7,0,0,0,,,N,N
E_5,1998,A1,386,E,5,18,26.7,18,2,123,,,N,N
F_1,1998,A1,392,F,1,18,26.7,18,2,123,,,N,N
F_13,1998,A1,396,F,13,16,26.7,18,2,123,,,N,N
F_15,1998,A1,397,F,15,16,26.7,5,1,111,,,N,N
G_11,1998,A1,402,G,11,15,26.7,5,1,111,,,N,N
G_12,1998,A1,403,G,12,16,26.7,5,1,111,,,N,N
H_11,1998,A1,408,H,11,15,26.7,5,1,111,,,N,N
H_19,1998,A1,410,H,19,18,26.7,18,2,123,,,N,N
B_10,1998,A2,360,B,10,25,476.6,18,2,123,,,N,N
B_14,1998,A2,361,B,14,28,476.6,18,2,123,,,N,N
C_22,1998,A2,369,C,22,25,476.6,18,2,123,,,N,N
C_26,1998,A2,371,C,26,28,476.6,5,1,111,,,N,N
C_5,1998,A2,364,C,5,25,476.6,18,2,123,,,N,N
C_9,1998,A2,365,C,9,26,476.6,18,2,123,,,N,N
D_16,1998,A2,378,D,16,27,476.6,18,2,123,,,N,N
D_19,1998,A2,380,D,19,25,476.6,18,2,123,,,N,N
D_24,1998,A2,381,D,24,29,476.6,18,2,123,,,N,N
D_26,1998,A2,382,D,26,24,476.6,18,2,123,,,N,N
D_6,1998,A2,374,D,6,23,476.6,18,2,123,,,N,N
E_10,1998,A2,389,E,10,27,476.6,38,3,227,,,N,N
E_2,1998,A2,384,E,2,23,476.6,18,2,123,,,N,N
E_8,1998,A2,387,E,8,26,476.6,18,2,123,,,N,N
F_20,1998,A2,398,F,20,24,476.6,18,2,123,,,N,N
F_5,1998,A2,393,F,5,21,476.6,18,2,123,,,N,N
G_1,1998,A2,400,G,1,22,476.6,18,2,123,,,N,N
G_9,1998,A2,401,G,9,27,476.6,38,3,227,,,N,N
H_16,1998,A2,409,H,16,28,476.6,38,3,227,,,N,N
H_8,1998,A2,406,H,8,25,476.6,18,2,123,,,N,N
I_5,1998,A2,411,I,5,30,476.6,18,2,123,,,N,N
I_9,1998,A2,413,I,9,23,476.6,5,1,111,,,N,N
B_1,1998,A3,355,B,1,34,668.1,38,3,227,,,N,N
B_7,1998,A3,358,B,7,40,668.1,38,3,227,,,N,N
C_16,1998,A3,367,C,16,31,668.1,18,2,123,,,N,N
C_23,1998,A3,370,C,23,37,668.1,18,2,123,,,N,N
D_18,1998,A3,379,D,18,40,668.1,38,3,227,,,N,N
D_4,1998,A3,373,D,4,31,668.1,18,2,123,,,N,N
D_8,1998,A3,375,D,8,37,668.1,181,4,312,,,N,N
E_3,1998,A3,385,E,3,31,668.1,38,3,227,,,N,N
F_12,1998,A3,395,F,12,40,668.1,38,3,227,,,N,N
F_22,1998,A3,399,F,22,33,668.1,38,3,227,,,N,N
H_4,1998,A3,405,H,4,38,668.1,38,3,227,,,N,N
H_9,1998,A3,407,H,9,36,668.1,181,4,312,,,N,N
I_8,1998,A3,412,I,8,35,668.1,38,3,227,,,N,N
A_2,1998,A4,352,A,2,52,1860,181,4,312,,,N,N
A_3,1998,A4,353,A,3,42,1860,38,3,227,,,N,N
A_5,1998,A4,354,A,5,51,1860,181,4,312,,,N,N
B_19,1998,A4,362,B,19,43,1860,38,3,227,,,N,N
B_5,1998,A4,356,B,5,47,1860,181,4,312,,,N,N
B_6,1998,A4,357,B,6,54,1860,181,4,312,,,N,N
B_9,1998,A4,359,B,9,45,1860,181,4,312,,,N,N
C_12,1998,A4,366,C,12,56,1860,181,4,312,,,N,N
C_18,1998,A4,368,C,18,48,1860,38,3,227,,,N,N
C_4,1998,A4,363,C,4,42,1860,38,3,227,,,N,N
D_1,1998,A4,372,D,1,48,1860,181,4,312,,,N,N
D_14,1998,A4,377,D,14,45,1860,181,4,312,,,N,N
D_28,1998,A4,383,D,28,51,1860,181,4,312,,,N,N
E_11,1998,A4,390,E,11,43,1860,38,3,227,,,N,N
E_9,1998,A4,388,E,9,45,1860,181,4,312,,,N,N
F_6,1998,A4,394,F,6,41,1860,181,4,312,,,N,N
H_3,1998,A4,404,H,3,44,1860,181,4,312,,,N,N
C_17,1998,dead,702,C,17,0,0,0,0,0,,,N,N
C_8,1998,dead,703,C,8,0,0,0,0,0,,,N,N
D_27,1998,dead,704,D,27,0,0,0,0,0,,,N,N
E_7,1998,dead,705,E,7,0,0,0,0,0,,,N,N
F_11,1998,dead,706,F,11,0,0,0,0,0,,,N,N
F_4,1998,dead,707,F,4,0,0,0,0,0,,,N,N
F_9,1998,dead,708,F,9,0,0,0,0,0,,,N,N
H_13,1998,dead,709,H,13,0,0,0,0,0,,,N,N
H_2,1998,dead,710,H,2,0,0,0,0,0,,,N,N
C_22,1999,A1,430,C,22,20,26.7,5,1,111,,,N,N
D_10,1999,A1,437,D,10,12,26.7,0,0,0,,,N,N
G_1,1999,A1,459,G,1,17,26.7,18,2,123,,,N,N
G_11,1999,A1,461,G,11,12,26.7,0,0,0,,,N,N
G_12,1999,A1,462,G,12,18,26.7,18,2,123,,,N,N
H_11,1999,A1,467,H,11,19,26.7,18,2,123,,,N,N
H_3,1999,A1,463,H,3,12,26.7,0,0,0,,,N,N
I_9,1999,A1,472,I,9,12,26.7,0,0,0,,,N,N
A_3,1999,A2,415,A,3,28,476.6,18,2,123,,,N,N
B_19,1999,A2,423,B,19,26,476.6,5,1,111,,,N,N
C_9,1999,A2,426,C,9,22,476.6,5,1,111,,,N,N
D_26,1999,A2,442,D,26,27,476.6,18,2,123,,,N,N
E_10,1999,A2,449,E,10,30,476.6,38,3,227,,,N,N
E_2,1999,A2,444,E,2,28,476.6,18,2,123,,,N,N
E_5,1999,A2,446,E,5,26,476.6,18,2,123,,,N,N
E_8,1999,A2,447,E,8,25,476.6,18,2,123,,,N,N
F_1,1999,A2,451,F,1,24,476.6,38,3,227,,,N,N
F_13,1999,A2,455,F,13,27,476.6,18,2,123,,,N,N
F_15,1999,A2,456,F,15,25,476.6,18,2,123,,,N,N
F_20,1999,A2,457,F,20,30,476.6,38,3,227,,,N,N
F_5,1999,A2,452,F,5,23,476.6,18,2,123,,,N,N
H_16,1999,A2,468,H,16,27,476.6,18,2,123,,,N,N
H_19,1999,A2,469,H,19,21,476.6,5,1,111,,,N,N
H_8,1999,A2,465,H,8,26,476.6,18,2,123,,,N,N
A_2,1999,A3,414,A,2,39,668.1,38,3,227,,,N,N
B_10,1999,A3,421,B,10,35,668.1,38,3,227,,,N,N
B_14,1999,A3,422,B,14,31,668.1,18,2,123,,,N,N
B_7,1999,A3,419,B,7,33,668.1,5,1,111,,,N,N
C_16,1999,A3,428,C,16,38,668.1,38,3,227,,,N,N
C_18,1999,A3,429,C,18,37,668.1,18,2,123,,,N,N
C_23,1999,A3,431,C,23,37,668.1,38,3,227,,,N,N
C_26,1999,A3,432,C,26,40,668.1,18,2,123,,,N,N
C_5,1999,A3,425,C,5,37,668.1,38,3,227,,,N,N
D_16,1999,A3,439,D,16,34,668.1,38,3,227,,,N,N
D_18,1999,A3,440,D,18,32,668.1,18,2,123,,,N,N
D_24,1999,A3,441,D,24,34,668.1,38,3,227,,,N,N
D_4,1999,A3,434,D,4,35,668.1,38,3,227,,,N,N
D_6,1999,A3,435,D,6,40,668.1,38,3,227,,,N,N
E_11,1999,A3,450,E,11,37,668.1,18,2,123,,,N,N
E_3,1999,A3,445,E,3,40,668.1,38,3,227,,,N,N
E_9,1999,A3,448,E,9,40,668.1,38,3,227,,,N,N
F_22,1999,A3,458,F,22,37,668.1,181,4,312,,,N,N
F_6,1999,A3,453,F,6,40,668.1,181,4,312,,,N,N
G_9,1999,A3,460,G,9,35,668.1,38,3,227,,,N,N
H_4,1999,A3,464,H,4,40,668.1,181,4,312,,,N,N
H_9,1999,A3,466,H,9,31,668.1,38,3,227,,,N,N
I_5,1999,A3,470,I,5,34,668.1,38,3,227,,,N,N
I_8,1999,A3,471,I,8,37,668.1,181,4,312,,,N,N
A_5,1999,A4,416,A,5,46,1860,181,4,312,,,N,N
B_5,1999,A4,417,B,5,42,1860,38,3,227,,,N,N
B_6,1999,A4,418,B,6,42,1860,38,3,227,,,N,N
B_9,1999,A4,420,B,9,48,1860,181,4,312,,,N,N
C_12,1999,A4,427,C,12,50,1860,38,3,227,,,N,N
C_4,1999,A4,424,C,4,51,1860,181,4,312,,,N,N
D_1,1999,A4,433,D,1,45,1860,38,3,227,,,N,N
D_14,1999,A4,438,D,14,48,1860,181,4,312,,,N,N
D_28,1999,A4,443,D,28,46,1860,181,4,312,,,N,N
D_8,1999,A4,436,D,8,55,1860,181,4,312,,,N,N
F_12,1999,A4,454,F,12,46,1860,181,4,312,,,N,N
B_1,1999,dead,711,B,1,0,0,0,0,0,,,N,N
D_19,1999,dead,712,D,19,0,0,0,0,0,,,N,N
E_12,1999,dead,713,E,12,0,0,0,0,0,,,N,N
C_12,2000,A1,483,C,12,13,26.7,5,1,111,,,N,N
E_8,2000,A1,500,E,8,17,26.7,5,1,111,,,N,N
F_13,2000,A1,508,F,13,20,26.7,5,1,111,,,N,N
G_12,2000,A1,512,G,12,12,26.7,0,0,0,,,N,N
H_11,2000,A1,516,H,11,16,26.7,18,2,123,,,N,N
H_19,2000,A1,518,H,19,11,26.7,0,0,0,,,N,N
B_14,2000,A2,480,B,14,30,476.6,38,3,227,,,N,N
B_5,2000,A2,475,B,5,22,476.6,18,2,123,,,N,N
B_6,2000,A2,476,B,6,29,476.6,18,2,123,,,N,N
B_7,2000,A2,477,B,7,22,476.6,0,0,0,,,N,N
C_18,2000,A2,485,C,18,30,476.6,18,2,123,,,N,N
C_23,2000,A2,486,C,23,29,476.6,5,1,111,,,N,N
D_18,2000,A2,494,D,18,23,476.6,18,2,123,,,N,N
D_26,2000,A2,496,D,26,30,476.6,18,2,123,,,N,N
E_11,2000,A2,503,E,11,21,476.6,38,3,227,,,N,N
F_1,2000,A2,504,F,1,23,476.6,18,2,123,,,N,N
F_20,2000,A2,509,F,20,25,476.6,18,2,123,,,N,N
F_22,2000,A2,510,F,22,23,476.6,5,1,111,,,N,N
F_5,2000,A2,505,F,5,25,476.6,5,1,111,,,N,N
G_9,2000,A2,511,G,9,27,476.6,18,2,123,,,N,N
H_16,2000,A2,517,H,16,28,476.6,18,2,123,,,N,N
H_8,2000,A2,514,H,8,30,476.6,38,3,227,,,N,N
H_9,2000,A2,515,H,9,26,476.6,18,2,123,,,N,N
B_10,2000,A3,479,B,10,37,668.1,18,2,123,,,N,N
B_9,2000,A3,478,B,9,31,668.1,18,2,123,,,N,N
C_16,2000,A3,484,C,16,34,668.1,18,2,123,,,N,N
C_5,2000,A3,482,C,5,38,668.1,18,2,123,,,N,N
D_1,2000,A3,488,D,1,34,668.1,18,2,123,,,N,N
D_14,2000,A3,492,D,14,36,668.1,18,2,123,,,N,N
D_16,2000,A3,493,D,16,33,668.1,18,2,123,,,N,N
D_24,2000,A3,495,D,24,31,668.1,18,2,123,,,N,N
D_4,2000,A3,489,D,4,36,668.1,18,2,123,,,N,N
D_8,2000,A3,491,D,8,39,668.1,18,2,123,,,N,N
E_2,2000,A3,498,E,2,31,668.1,18,2,123,,,N,N
E_3,2000,A3,499,E,3,39,668.1,38,3,227,,,N,N
E_9,2000,A3,501,E,9,37,668.1,38,3,227,,,N,N
F_6,2000,A3,506,F,6,31,668.1,38,3,227,,,N,N
H_4,2000,A3,513,H,4,35,668.1,38,3,227,,,N,N
I_5,2000,A3,519,I,5,31,668.1,18,2,123,,,N,N
I_8,2000,A3,520,I,8,40,668.1,181,4,312,,,N,N
A_2,2000,A4,473,A,2,42,1860,38,3,227,,,N,N
A_5,2000,A4,474,A,5,42,1860,38,3,227,,,N,N
C_26,2000,A4,487,C,26,42,1860,38,3,227,,,N,N
C_4,2000,A4,481,C,4,42,1860,18,2,123,,,N,N
D_28,2000,A4,497,D,28,45,1860,38,3,227,,,N,N
D_6,2000,A4,490,D,6,41,1860,38,3,227,,,N,N
E_10,2000,A4,502,E,10,46,1860,181,4,312,,,N,N
F_12,2000,A4,507,F,12,42,1860,38,3,227,,,N,N
A_3,2000,dead,714,A,3,0,0,0,0,0,,,N,N
B_19,2000,dead,715,B,19,0,0,0,0,0,,,N,N
C_22,2000,dead,716,C,22,0,0,0,0,0,,,N,N
C_9,2000,dead,717,C,9,0,0,0,0,0,,,N,N
D_10,2000,dead,718,D,10,0,0,0,0,0,,,N,N
E_5,2000,dead,719,E,5,0,0,0,0,0,,,N,N
F_15,2000,dead,720,F,15,0,0,0,0,0,,,N,N
G_1,2000,dead,721,G,1,0,0,0,0,0,,,N,N
G_11,2000,dead,722,G,11,0,0,0,0,0,,,N,N
H_3,2000,dead,723,H,3,0,0,0,0,0,,,N,N
I_9,2000,dead,724,I,9,0,0,0,0,0,,,N,N
D_16,2001,A1,538,D,16,17,26.7,18,2,123,,,N,N
B_9,2001,A2,524,B,9,25,476.6,5,1,111,,,N,N
C_18,2001,A2,530,C,18,26,476.6,5,1,111,,,N,N
D_18,2001,A2,539,D,18,25,476.6,18,2,123,,,N,N
D_24,2001,A2,540,D,24,24,476.6,18,2,123,,,N,N
D_8,2001,A2,536,D,8,21,476.6,5,1,111,,,N,N
E_11,2001,A2,547,E,11,23,476.6,18,2,123,,,N,N
F_1,2001,A2,548,F,1,30,476.6,38,3,227,,,N,N
F_13,2001,A2,552,F,13,24,476.6,18,2,123,,,N,N
F_22,2001,A2,554,F,22,25,476.6,18,2,123,,,N,N
H_11,2001,A2,559,H,11,25,476.6,18,2,123,,,N,N
I_5,2001,A2,561,I,5,22,476.6,18,2,123,,,N,N
B_14,2001,A3,526,B,14,32,668.1,38,3,227,,,N,N
B_6,2001,A3,523,B,6,33,668.1,38,3,227,,,N,N
C_16,2001,A3,529,C,16,38,668.1,38,3,227,,,N,N
D_1,2001,A3,533,D,1,32,668.1,38,3,227,,,N,N
D_14,2001,A3,537,D,14,36,668.1,38,3,227,,,N,N
D_26,2001,A3,541,D,26,35,668.1,38,3,227,,,N,N
E_2,2001,A3,543,E,2,37,668.1,38,3,227,,,N,N
F_20,2001,A3,553,F,20,36,668.1,38,3,227,,,N,N
F_5,2001,A3,549,F,5,33,668.1,18,2,123,,,N,N
F_6,2001,A3,550,F,6,34,668.1,38,3,227,,,N,N
G_9,2001,A3,555,G,9,34,668.1,38,3,227,,,N,N
H_16,2001,A3,560,H,16,34,668.1,38,3,227,,,N,N
H_4,2001,A3,556,H,4,38,668.1,181,4,312,,,N,N
H_8,2001,A3,557,H,8,40,668.1,181,4,312,,,N,N
H_9,2001,A3,558,H,9,31,668.1,38,3,227,,,N,N
I_8,2001,A3,562,I,8,31,668.1,38,3,227,,,N,N
A_2,2001,A4,521,A,2,50,1860,181,4,312,,,N,N
A_5,2001,A4,522,A,5,52,1860,181,4,312,,,N,N
B_10,2001,A4,525,B,10,46,1860,181,4,312,,,N,N
C_23,2001,A4,531,C,23,42,1860,38,3,227,,,N,N
C_26,2001,A4,532,C,26,58,1860,181,4,312,,,N,N
C_4,2001,A4,527,C,4,48,1860,38,3,227,,,N,N
C_5,2001,A4,528,C,5,45,1860,38,3,227,,,N,N
D_28,2001,A4,542,D,28,52,1860,181,4,312,,,N,N
D_4,2001,A4,534,D,4,42,1860,181,4,312,,,N,N
D_6,2001,A4,535,D,6,44,1860,181,4,312,,,N,N
E_10,2001,A4,546,E,10,43,1860,181,4,312,,,N,N
E_3,2001,A4,544,E,3,51,1860,181,4,312,,,N,N
E_9,2001,A4,545,E,9,47,1860,181,4,312,,,N,N
F_12,2001,A4,551,F,12,41,1860,181,4,312,,,N,N
B_5,2001,dead,725,B,5,0,0,0,0,0,,,N,N
B_7,2001,dead,726,B,7,0,0,0,0,0,,,N,N
C_12,2001,dead,727,C,12,0,0,0,0,0,,,N,N
E_8,2001,dead,728,E,8,0,0,0,0,0,,,N,N
G_12,2001,dead,729,G,12,0,0,0,0,0,,,N,N
H_19,2001,dead,730,H,19,0,0,0,0,0,,,N,N
B_14,2002,A1,566,B,14,17,26.7,5,1,111,,,N,N
C_16,2002,A1,569,C,16,19,26.7,0,0,0,,,N,N
C_5,2002,A1,568,C,5,15,26.7,0,0,0,,,N,N
D_1,2002,A1,572,D,1,14,26.7,0,0,0,,,N,N
D_24,2002,A1,576,D,24,15,26.7,0,0,0,,,N,N
E_2,2002,A1,579,E,2,15,26.7,0,0,0,,,N,N
F_13,2002,A1,587,F,13,12,26.7,0,0,0,,,N,N
F_20,2002,A1,588,F,20,18,26.7,5,1,111,,,N,N
F_5,2002,A1,584,F,5,15,26.7,0,0,0,,,N,N
G_9,2002,A1,589,G,9,14,26.7,0,0,0,,,N,N
H_11,2002,A1,593,H,11,20,26.7,0,0,0,,,N,N
H_9,2002,A1,592,H,9,14,26.7,0,0,0,,,N,N
I_8,2002,A1,595,I,8,15,26.7,0,0,0,,,N,N
A_5,2002,A2,564,A,5,22,476.6,0,0,0,,,N,N
C_23,2002,A2,570,C,23,22,476.6,5,1,111,,,N,N
C_4,2002,A2,567,C,4,29,476.6,5,1,111,,,N,N
D_14,2002,A2,575,D,14,25,476.6,5,1,111,,,N,N
D_26,2002,A2,577,D,26,23,476.6,0,0,0,,,N,N
D_4,2002,A2,573,D,4,26,476.6,18,2,123,,,N,N
E_10,2002,A2,582,E,10,30,476.6,5,1,111,,,N,N
E_9,2002,A2,581,E,9,23,476.6,0,0,0,,,N,N
F_1,2002,A2,583,F,1,21,476.6,0,0,0,,,N,N
F_12,2002,A2,586,F,12,30,476.6,18,2,123,,,N,N
F_6,2002,A2,585,F,6,23,476.6,5,1,111,,,N,N
H_16,2002,A2,594,H,16,24,476.6,5,1,111,,,N,N
H_4,2002,A2,590,H,4,25,476.6,5,1,111,,,N,N
H_8,2002,A2,591,H,8,27,476.6,18,2,123,,,N,N
A_2,2002,A3,563,A,2,34,668.1,5,1,111,,,N,N
B_10,2002,A3,565,B,10,33,668.1,5,1,111,,,N,N
C_26,2002,A3,571,C,26,36,668.1,18,2,123,,,N,N
D_28,2002,A3,578,D,28,31,668.1,18,2,123,,,N,N
D_6,2002,A3,574,D,6,33,668.1,18,2,123,,,N,N
E_3,2002,A3,580,E,3,35,668.1,18,2,123,,,N,N
B_6,2002,dead,731,B,6,0,0,0,0,0,,,N,N
B_9,2002,dead,732,B,9,0,0,0,0,0,,,N,N
C_18,2002,dead,733,C,18,0,0,0,0,0,,,N,N
D_16,2002,dead,734,D,16,0,0,0,0,0,,,N,N
D_18,2002,dead,735,D,18,0,0,0,0,0,,,N,N
D_8,2002,dead,736,D,8,0,0,0,0,0,,,N,N
E_11,2002,dead,737,E,11,0,0,0,0,0,,,N,N
F_22,2002,dead,738,F,22,0,0,0,0,0,,,N,N
I_5,2002,dead,739,I,5,0,0,0,0,0,,,N,N
A_2,2003,A1,596,A,2,18,26.7,5,1,111,,,N,N
D_26,2003,A1,604,D,26,20,26.7,5,1,111,,,N,N
F_12,2003,A1,610,F,12,19,26.7,5,1,111,,,N,N
I_8,2003,A1,614,I,8,16,26.7,5,1,111,,,N,N
B_10,2003,A2,597,B,10,28,476.6,18,2,123,,,N,N
B_14,2003,A2,598,B,14,21,476.6,18,2,123,,,N,N
C_23,2003,A2,600,C,23,26,476.6,18,2,123,,,N,N
D_4,2003,A2,602,D,4,24,476.6,5,1,111,,,N,N
E_9,2003,A2,607,E,9,25,476.6,5,1,111,,,N,N
F_6,2003,A2,609,F,6,23,476.6,5,1,111,,,N,N
H_16,2003,A2,613,H,16,21,476.6,18,2,123,,,N,N
H_8,2003,A2,612,H,8,25,476.6,18,2,123,,,N,N
C_26,2003,A3,601,C,26,40,668.1,18,2,123,,,N,N
C_4,2003,A3,599,C,4,33,668.1,18,2,123,,,N,N
D_28,2003,A3,605,D,28,33,668.1,38,3,227,,,N,N
D_6,2003,A3,603,D,6,35,668.1,38,3,227,,,N,N
E_10,2003,A3,608,E,10,36,668.1,18,2,123,,,N,N
E_3,2003,A3,606,E,3,35,668.1,181,4,312,,,N,N
A_5,2003,dead,740,A,5,0,0,0,0,0,,,N,N
C_16,2003,dead,741,C,16,0,0,0,0,0,,,N,N
C_5,2003,dead,742,C,5,0,0,0,0,0,,,N,N
D_1,2003,dead,743,D,1,0,0,0,0,0,,,N,N
D_14,2003,dead,744,D,14,0,0,0,0,0,,,N,N
D_24,2003,dead,745,D,24,0,0,0,0,0,,,N,N
E_2,2003,dead,746,E,2,0,0,0,0,0,,,N,N
F_1,2003,dead,747,F,1,0,0,0,0,0,,,N,N
F_13,2003,dead,748,F,13,0,0,0,0,0,,,N,N
F_20,2003,dead,749,F,20,0,0,0,0,0,,,N,N
F_5,2003,dead,750,F,5,0,0,0,0,0,,,N,N
G_9,2003,dead,751,G,9,0,0,0,0,0,,,N,N
H_11,2003,dead,752,H,11,0,0,0,0,0,,,N,N
H_9,2003,dead,753,H,9,0,0,0,0,0,,,N,N
H_4,2003,J,611,H,4,7,0,0,0,0,,,N,N
A_2,2004,dead,754,A,2,0,0,0,0,0,,,N,N
B_10,2004,dead,755,B,10,0,0,0,0,0,,,N,N
B_14,2004,dead,756,B,14,0,0,0,0,0,,,N,N
C_23,2004,dead,757,C,23,0,0,0,0,0,,,N,N
C_26,2004,dead,758,C,26,0,0,0,0,0,,,N,N
C_4,2004,dead,759,C,4,0,0,0,0,0,,,N,N
D_26,2004,dead,760,D,26,0,0,0,0,0,,,N,N
D_28,2004,dead,761,D,28,0,0,0,0,0,,,N,N
D_4,2004,dead,762,D,4,0,0,0,0,0,,,N,N
D_6,2004,dead,763,D,6,0,0,0,0,0,,,N,N
E_10,2004,dead,764,E,10,0,0,0,0,0,,,N,N
E_3,2004,dead,765,E,3,0,0,0,0,0,,,N,N
E_9,2004,dead,766,E,9,0,0,0,0,0,,,N,N
F_12,2004,dead,767,F,12,0,0,0,0,0,,,N,N
F_6,2004,dead,768,F,6,0,0,0,0,0,,,N,N
H_16,2004,dead,769,H,16,0,0,0,0,0,,,N,N
H_4,2004,dead,770,H,4,0,0,0,0,0,,,N,N
H_8,2004,dead,771,H,8,0,0,0,0,0,,,N,N
I_8,2004,dead,772,I,8,0,0,0,0,0,,,N,N
1_709,2011,A1,9,1,709,14.25,26.7,5,1,111,2,19.5775,N,N
1_705,2011,A1,5,1,705,19,26.7,5,1,111,3,0,N,N
5_762,2011,A1,43,5,762,11,26.7,18,2,123,10,0,N,N
1_708,2011,A1,8,1,708,15,26.7,18,2,123,12,117.465,N,N
3_753,2011,A1,27,3,753,12.5,26.7,18,2,123,16,156.62,N,N
9_305,2011,A1,96,9,305,19,26.7,18,2,123,20,0,N,N
3_755,2011,A1,29,3,755,13.5,26.7,18,2,123,22,0,N,N
7_773,2011,A1,54,7,773,19,26.7,18,2,123,22,0,N,N
7_780,2011,A1,61,7,780,12,26.7,18,2,123,22,0,N,N
4_727,2011,A1,35,4,727,15,26.7,18,2,123,24,0,N,N
7_783,2011,A1,64,7,783,19.5,26.7,38,3,227,26,0,N,N
4_728,2011,A1,36,4,728,17.5,26.7,38,3,227,28,0,N,N
7_784,2011,A1,65,7,784,19,26.7,38,3,227,28,0,N,N
4_726,2011,A1,34,4,726,18.5,26.7,38,3,227,36,0,N,N
9_312,2011,A1,103,9,312,18.75,26.7,38,3,227,38,371.9725,N,N
9_311,2011,A1,102,9,311,17.5,26.7,38,3,227,49,479.64875,N,N
1_716,2011,A1,16,1,716,16.75,26.7,181,4,312,60,587.325,N,N
9_313,2011,A1,104,9,313,19,26.7,5,1,111,0,0,N,N
2_720,2011,A1,19,2,720,19.45,26.7,5,1,111,0,0,N,N
2_722,2011,A1,21,2,722,15.45,26.7,5,1,111,,,N,N
3_751,2011,A1,25,3,751,19.45,26.7,5,1,111,,,N,N
3_756,2011,A1,30,3,756,17.05,26.7,5,1,111,0,0,N,N
7_777,2011,A1,58,7,777,12,26.7,18,2,123,12,0,Y,N
9_304,2011,A1,95,9,304,15.5,26.7,18,2,123,14,137.0425,Y,N
4_725,2011,A1,33,4,725,17.5,26.7,18,2,123,23,225.14125,Y,N
3_757,2011,A1,31,3,757,15,26.7,18,2,123,25,244.71875,Y,N
1_701,2011,A1,1,1,701,19.5,26.7,38,3,227,39,381.76125,Y,N
1_707,2011,A1,7,1,707,20,26.7,38,3,227,44,430.705,Y,N
9_318,2011,A1,109,9,318,20,26.7,181,4,312,53,518.80375,Y,N
7_775,2011,A1,56,7,775,19,26.7,181,4,312,111,1086.55125,Y,N
5_758,2011,A2,39,5,758,25,476.6,5,1,111,2,0,N,N
7_782,2011,A2,63,7,782,22,476.6,5,1,111,7,0,N,N
6_766,2011,A2,47,6,766,27,476.6,18,2,123,24,234.93,N,N
6_767,2011,A2,48,6,767,24,476.6,38,3,227,27,264.29625,N,N
7_793,2011,A2,74,7,793,25.5,476.6,38,3,227,34,,N,N
7_785,2011,A2,66,7,785,22.5,476.6,38,3,227,35,342.60625,N,N
8_732,2011,A2,76,8,732,21.5,476.6,38,3,227,37,0,N,N
7_774,2011,A2,55,7,774,24,476.6,38,3,227,43,0,N,N
8_738,2011,A2,82,8,738,22.5,476.6,38,3,227,44,430.705,N,N
9_306,2011,A2,97,9,306,26,476.6,38,3,227,48,0,N,N
6_772,2011,A2,53,6,772,28,476.6,181,4,312,59,577.53625,N,N
8_733,2011,A2,77,8,733,23.5,476.6,181,4,312,64,0,N,N
1_710,2011,A2,10,1,710,26,476.6,181,4,312,65,636.26875,N,N
1_703,2011,A2,3,1,703,25,476.6,181,4,312,78,763.5225,N,N
1_704,2011,A2,4,1,704,26,476.6,181,4,312,79,773.31125,N,N
7_781,2011,A2,62,7,781,27.5,476.6,181,4,312,79,0,N,N
7_787,2011,A2,68,7,787,26.5,476.6,181,4,312,80,0,N,N
9_309,2011,A2,100,9,309,28,476.6,181,4,312,87,851.62125,N,N
7_786,2011,A2,67,7,786,26,476.6,181,4,312,95,0,N,N
8_736,2011,A2,80,8,736,25,476.6,181,4,312,97,949.50875,N,N
4_729,2011,A2,37,4,729,21.7,476.6,18,2,123,,,N,N
2_749,2011,A2,23,2,749,23.75,476.6,18,2,123,,,N,N
3_752,2011,A2,26,3,752,22.95,476.6,18,2,123,,,N,N
1_702,2011,A2,2,1,702,21,476.6,38,3,227,27,264.29625,Y,N
2_723,2011,A2,22,2,723,30,476.6,38,3,227,30,293.6625,Y,N
9_308,2011,A2,99,9,308,26.5,476.6,38,3,227,48,469.86,Y,N
4_730,2011,A2,38,4,730,22.5,476.6,38,3,227,49,479.64875,Y,N
4_724,2011,A2,32,4,724,27.5,476.6,181,4,312,55,538.38125,Y,N
1_711,2011,A2,11,1,711,24,476.6,181,4,312,56,548.17,Y,N
9_314,2011,A2,105,9,314,26,476.6,181,4,312,66,0,Y,N
9_310,2011,A2,101,9,310,29,476.6,181,4,312,73,714.57875,Y,N
8_739,2011,A2,83,8,739,26,476.6,181,4,312,78,763.5225,Y,N
9_316,2011,A2,107,9,316,30,476.6,181,4,312,79,773.31125,Y,N
1_713,2011,A2,13,1,713,29,476.6,181,4,312,80,783.1,Y,N
6_770,2011,A2,51,6,770,25,476.6,181,4,312,82,802.6775,Y,N
2_721,2011,A2,20,2,721,27.5,476.6,181,4,312,123,0,Y,N
7_779,2011,A3,60,7,779,32,668.1,181,4,312,58,0,N,N
5_759,2011,A3,40,5,759,36,668.1,181,4,312,68,,N,N
6_771,2011,A3,52,6,771,32.5,668.1,181,4,312,76,743.945,N,N
6_765,2011,A3,46,6,765,35,668.1,181,4,312,86,841.8325,N,N
9_315,2011,A3,106,9,315,34.5,668.1,181,4,312,100,978.875,N,N
7_789,2011,A3,70,7,789,36.5,668.1,181,4,312,109,0,N,N
8_744,2011,A3,88,8,744,34.5,668.1,181,4,312,128,,N,N
9_319,2011,A3,110,9,319,39,668.1,181,4,312,133,1301.90375,N,N
1_712,2011,A3,12,1,712,35,668.1,181,4,312,138,1350.8475,N,N
8_743,2011,A3,87,8,743,35,668.1,181,4,312,148,1448.735,N,N
8_731,2011,A3,75,8,731,32.5,668.1,181,4,312,152,1487.89,N,N
8_735,2011,A3,79,8,735,35,668.1,181,4,312,197,1928.38375,N,N
7_776,2011,A3,57,7,776,31.5,668.1,181,4,312,74,724.3675,Y,N
1_719,2011,A3,18,1,719,32.5,668.1,181,4,312,88,861.41,Y,N
3_754,2011,A3,28,3,754,32.5,668.1,181,4,312,96,0,Y,N
9_307,2011,A3,98,9,307,40.5,668.1,181,4,312,99,969.08625,Y,N
1_714,2011,A3,14,1,714,40,668.1,181,4,312,119,1164.86125,Y,N
5_764,2011,A3,45,5,764,36,668.1,181,4,312,119,0,Y,N
8_745,2011,A3,89,8,745,35,668.1,181,4,312,122,1194.2275,Y,N
1_718,2011,A3,17,1,718,35,668.1,181,4,312,126,1233.3825,Y,N
1_715,2011,A3,15,1,715,40,668.1,181,4,312,144,1409.58,Y,N
7_788,2011,A3,69,7,788,36.5,668.1,181,4,312,144,1409.58,Y,N
8_742,2011,A3,86,8,742,37.5,668.1,181,4,312,146,0,Y,N
7_790,2011,A3,71,7,790,39.5,668.1,181,4,312,227,2222.04625,Y,N
6_769,2011,A4,50,6,769,41,1860,181,4,312,79,773.31125,N,N
6_768,2011,A4,49,6,768,41,1860,181,4,312,80,783.1,N,N
5_763,2011,A4,44,5,763,43.5,1860,181,4,312,103,0,N,N
5_761,2011,A4,42,5,761,43,1860,181,4,312,130,0,N,N
7_792,2011,A4,73,7,792,50,1860,181,4,312,187,0,N,N
8_734,2011,A4,78,8,734,51,1860,181,4,312,280,0,N,N
7_791,2011,A4,72,7,791,58.5,1860,181,4,312,188,1840.285,Y,N
5_760,2011,A4,41,5,760,54,1860,181,4,312,246,2408.0325,Y,N
9_303,2011,A4,94,9,303,56,1860,181,4,312,312,3054.09,Y,N
2_1,2011,J,222,2,1,2,0,0,0,0,0,0,N,N
2_61,2011,J,223,2,61,2,0,0,0,0,0,0,N,N
2_64,2011,J,224,2,64,2,0,0,0,0,0,0,N,N
2_73,2011,J,225,2,73,2,0,0,0,0,0,0,N,N
2_74,2011,J,226,2,74,2,0,0,0,0,0,0,N,N
2_81,2011,J,227,2,81,2,0,0,0,0,0,0,N,N
2_93,2011,J,228,2,93,2,0,0,0,0,0,0,N,N
2_96,2011,J,229,2,96,2,0,0,0,0,0,0,N,N
2_97,2011,J,230,2,97,2,0,0,0,0,0,0,N,N
2_98,2011,J,231,2,98,2,0,0,0,0,0,0,N,N
8_737,2011,J,81,8,737,3.05,0,0,0,0,0,0,N,N
8_740,2011,J,84,8,740,1.85,0,0,0,0,0,0,N,N
8_741,2011,J,85,8,741,2.3,0,0,0,0,0,0,N,N
8_746,2011,J,90,8,746,2.5,0,0,0,0,0,0,N,N
2_749A,2011,J,232,2,749A,2,0,0,0,0,0,0,N,N
2_750D,2011,J,233,2,750D,2,0,0,0,0,0,0,N,N
2_750E,2011,J,234,2,750E,2,0,0,0,0,0,0,N,N
2_750F,2011,J,235,2,750F,2,0,0,0,0,0,0,N,N
2_750G,2011,J,236,2,750G,2,0,0,0,0,0,0,N,N
2_750H,2011,J,237,2,750H,2,0,0,0,0,0,0,N,N
2_750I,2011,J,238,2,750I,2,0,0,0,0,0,0,N,N
2_750J,2011,J,239,2,750J,2,0,0,0,0,0,0,N,N
2_751A,2011,J,240,2,751A,2,0,0,0,0,0,0,N,N
2_752A,2011,J,241,2,752A,2,0,0,0,0,0,0,N,N
2_752B,2011,J,242,2,752B,2,0,0,0,0,0,0,N,N
2_752C,2011,J,243,2,752C,2,0,0,0,0,0,0,N,N
2_752D,2011,J,244,2,752D,2,0,0,0,0,0,0,N,N
5_761A,2011,J,549,5,761A,2,0,0,0,0,0,0,N,N
6_772A,2011,J,573,6,772A,2,0,0,0,0,0,0,N,N
2_s155,2011,J,245,2,s155,2,0,0,0,0,0,0,N,N
2_s156,2011,J,246,2,s156,2,0,0,0,0,0,0,N,N
5_s156,2011,J,548,5,s156,2,0,0,0,0,0,0,N,N
2_s157,2011,J,247,2,s157,2,0,0,0,0,0,0,N,N
2_s158,2011,J,248,2,s158,2,0,0,0,0,0,0,N,N
2_s159,2011,J,249,2,s159,2,0,0,0,0,0,0,N,N
5_s159,2011,J,547,5,s159,2,0,0,0,0,0,0,N,N
2_s160,2011,J,250,2,s160,2,0,0,0,0,0,0,N,N
2_s161,2011,J,251,2,s161,2,0,0,0,0,0,0,N,N
2_s162,2011,J,252,2,s162,2,0,0,0,0,0,0,N,N
2_s163,2011,J,253,2,s163,2,0,0,0,0,0,0,N,N
2_s164,2011,J,254,2,s164,2,0,0,0,0,0,0,N,N
2_s165,2011,J,255,2,s165,2,0,0,0,0,0,0,N,N
2_s166,2011,J,256,2,s166,2,0,0,0,0,0,0,N,N
2_s167,2011,J,257,2,s167,2,0,0,0,0,0,0,N,N
2_s168,2011,J,258,2,s168,2,0,0,0,0,0,0,N,N
2_s169,2011,J,259,2,s169,2,0,0,0,0,0,0,N,N
2_s170,2011,J,260,2,s170,2,0,0,0,0,0,0,N,N
2_s171,2011,J,261,2,s171,2,0,0,0,0,0,0,N,N
6_s171,2011,J,570,6,s171,2,0,0,0,0,0,0,N,N
2_s172,2011,J,262,2,s172,2,0,0,0,0,0,0,N,N
6_s172,2011,J,571,6,s172,2,0,0,0,0,0,0,N,N
2_s173,2011,J,263,2,s173,2,0,0,0,0,0,0,N,N
6_s173,2011,J,572,6,s173,2,0,0,0,0,0,0,N,N
2_s174,2011,J,264,2,s174,2,0,0,0,0,0,0,N,N
5_s174,2011,J,550,5,s174,2,0,0,0,0,0,0,N,N
2_s175,2011,J,265,2,s175,2,0,0,0,0,0,0,N,N
5_s175,2011,J,551,5,s175,2,0,0,0,0,0,0,N,N
2_s176,2011,J,266,2,s176,2,0,0,0,0,0,0,N,N
5_s176,2011,J,552,5,s176,2,0,0,0,0,0,0,N,N
2_s177,2011,J,267,2,s177,2,0,0,0,0,0,0,N,N
2_s178,2011,J,268,2,s178,2,0,0,0,0,0,0,N,N
2_s179,2011,J,269,2,s179,2,0,0,0,0,0,0,N,N
2_s180,2011,J,270,2,s180,2,0,0,0,0,0,0,N,N
2_s181,2011,J,271,2,s181,2,0,0,0,0,0,0,N,N
2_s182,2011,J,272,2,s182,2,0,0,0,0,0,0,N,N
2_s183,2011,J,273,2,s183,2,0,0,0,0,0,0,N,N
2_s184,2011,J,274,2,s184,2,0,0,0,0,0,0,N,N
2_s185,2011,J,275,2,s185,2,0,0,0,0,0,0,N,N
2_s186,2011,J,276,2,s186,2,0,0,0,0,0,0,N,N
2_s187,2011,J,277,2,s187,2,0,0,0,0,0,0,N,N
2_s188,2011,J,278,2,s188,2,0,0,0,0,0,0,N,N
2_s189,2011,J,279,2,s189,2,0,0,0,0,0,0,N,N
2_s190,2011,J,280,2,s190,2,0,0,0,0,0,0,N,N
2_s191,2011,J,281,2,s191,2,0,0,0,0,0,0,N,N
2_s192,2011,J,282,2,s192,2,0,0,0,0,0,0,N,N
2_s193,2011,J,283,2,s193,2,0,0,0,0,0,0,N,N
2_s194,2011,J,284,2,s194,2,0,0,0,0,0,0,N,N
2_s195,2011,J,285,2,s195,2,0,0,0,0,0,0,N,N
2_s196,2011,J,286,2,s196,2,0,0,0,0,0,0,N,N
2_s197,2011,J,287,2,s197,2,0,0,0,0,0,0,N,N
2_s198,2011,J,288,2,s198,2,0,0,0,0,0,0,N,N
2_s199,2011,J,289,2,s199,2,0,0,0,0,0,0,N,N
2_s200,2011,J,290,2,s200,2,0,0,0,0,0,0,N,N
2_s201,2011,J,291,2,s201,2,0,0,0,0,0,0,N,N
2_s202,2011,J,292,2,s202,2,0,0,0,0,0,0,N,N
2_s203,2011,J,293,2,s203,2,0,0,0,0,0,0,N,N
2_s204,2011,J,294,2,s204,2,0,0,0,0,0,0,N,N
2_s205,2011,J,295,2,s205,2,0,0,0,0,0,0,N,N
2_s206,2011,J,296,2,s206,2,0,0,0,0,0,0,N,N
2_s207,2011,J,297,2,s207,2,0,0,0,0,0,0,N,N
2_s208,2011,J,298,2,s208,2,0,0,0,0,0,0,N,N
2_s209,2011,J,299,2,s209,2,0,0,0,0,0,0,N,N
2_s210,2011,J,300,2,s210,2,0,0,0,0,0,0,N,N
2_s211,2011,J,301,2,s211,2,0,0,0,0,0,0,N,N
2_s212,2011,J,302,2,s212,2,0,0,0,0,0,0,N,N
2_s213,2011,J,303,2,s213,2,0,0,0,0,0,0,N,N
2_s214,2011,J,304,2,s214,2,0,0,0,0,0,0,N,N
2_s215,2011,J,305,2,s215,2,0,0,0,0,0,0,N,N
2_s216,2011,J,306,2,s216,2,0,0,0,0,0,0,N,N
2_s217,2011,J,307,2,s217,2,0,0,0,0,0,0,N,N
2_s218,2011,J,308,2,s218,2,0,0,0,0,0,0,N,N
2_s219,2011,J,309,2,s219,2,0,0,0,0,0,0,N,N
2_s220,2011,J,310,2,s220,2,0,0,0,0,0,0,N,N
2_s221,2011,J,311,2,s221,2,0,0,0,0,0,0,N,N
2_s222,2011,J,312,2,s222,2,0,0,0,0,0,0,N,N
2_s223,2011,J,313,2,s223,2,0,0,0,0,0,0,N,N
2_s224,2011,J,314,2,s224,2,0,0,0,0,0,0,N,N
2_s225,2011,J,315,2,s225,2,0,0,0,0,0,0,N,N
2_s226,2011,J,316,2,s226,2,0,0,0,0,0,0,N,N
2_s227,2011,J,317,2,s227,2,0,0,0,0,0,0,N,N
2_s228,2011,J,318,2,s228,2,0,0,0,0,0,0,N,N
2_s229,2011,J,319,2,s229,2,0,0,0,0,0,0,N,N
2_s230,2011,J,320,2,s230,2,0,0,0,0,0,0,N,N
2_s231,2011,J,321,2,s231,2,0,0,0,0,0,0,N,N
2_s232,2011,J,322,2,s232,2,0,0,0,0,0,0,N,N
2_s233,2011,J,323,2,s233,2,0,0,0,0,0,0,N,N
2_s234,2011,J,324,2,s234,2,0,0,0,0,0,0,N,N
2_s235,2011,J,325,2,s235,2,0,0,0,0,0,0,N,N
2_s236,2011,J,326,2,s236,2,0,0,0,0,0,0,N,N
2_s237,2011,J,327,2,s237,2,0,0,0,0,0,0,N,N
2_s238,2011,J,328,2,s238,2,0,0,0,0,0,0,N,N
2_s239,2011,J,329,2,s239,2,0,0,0,0,0,0,N,N
2_s240,2011,J,330,2,s240,2,0,0,0,0,0,0,N,N
2_s241,2011,J,331,2,s241,2,0,0,0,0,0,0,N,N
2_s242,2011,J,332,2,s242,2,0,0,0,0,0,0,N,N
2_s243,2011,J,333,2,s243,2,0,0,0,0,0,0,N,N
2_s244,2011,J,334,2,s244,2,0,0,0,0,0,0,N,N
2_s245,2011,J,335,2,s245,2,0,0,0,0,0,0,N,N
2_s246,2011,J,336,2,s246,2,0,0,0,0,0,0,N,N
2_s247,2011,J,337,2,s247,2,0,0,0,0,0,0,N,N
2_s248,2011,J,338,2,s248,2,0,0,0,0,0,0,N,N
2_s249,2011,J,339,2,s249,2,0,0,0,0,0,0,N,N
2_s250,2011,J,340,2,s250,2,0,0,0,0,0,0,N,N
2_s251,2011,J,341,2,s251,2,0,0,0,0,0,0,N,N
2_s252,2011,J,342,2,s252,2,0,0,0,0,0,0,N,N
2_s253,2011,J,343,2,s253,2,0,0,0,0,0,0,N,N
2_s254,2011,J,344,2,s254,2,0,0,0,0,0,0,N,N
2_s255,2011,J,345,2,s255,2,0,0,0,0,0,0,N,N
2_s256,2011,J,346,2,s256,2,0,0,0,0,0,0,N,N
2_s257,2011,J,347,2,s257,2,0,0,0,0,0,0,N,N
2_s258,2011,J,348,2,s258,2,0,0,0,0,0,0,N,N
2_s259,2011,J,349,2,s259,2,0,0,0,0,0,0,N,N
2_s260,2011,J,350,2,s260,2,0,0,0,0,0,0,N,N
2_s261,2011,J,351,2,s261,2,0,0,0,0,0,0,N,N
2_s262,2011,J,352,2,s262,2,0,0,0,0,0,0,N,N
2_s263,2011,J,353,2,s263,2,0,0,0,0,0,0,N,N
2_s264,2011,J,354,2,s264,2,0,0,0,0,0,0,N,N
2_s265,2011,J,355,2,s265,2,0,0,0,0,0,0,N,N
2_s266,2011,J,356,2,s266,2,0,0,0,0,0,0,N,N
2_s267,2011,J,357,2,s267,2,0,0,0,0,0,0,N,N
2_s268,2011,J,358,2,s268,2,0,0,0,0,0,0,N,N
2_s269,2011,J,359,2,s269,2,0,0,0,0,0,0,N,N
2_s270,2011,J,360,2,s270,2,0,0,0,0,0,0,N,N
2_s271,2011,J,361,2,s271,2,0,0,0,0,0,0,N,N
2_s272,2011,J,362,2,s272,2,0,0,0,0,0,0,N,N
2_s273,2011,J,363,2,s273,2,0,0,0,0,0,0,N,N
2_s274,2011,J,364,2,s274,2,0,0,0,0,0,0,N,N
2_s275,2011,J,365,2,s275,2,0,0,0,0,0,0,N,N
2_s276,2011,J,366,2,s276,2,0,0,0,0,0,0,N,N
2_s277,2011,J,367,2,s277,2,0,0,0,0,0,0,N,N
2_s278,2011,J,368,2,s278,2,0,0,0,0,0,0,N,N
2_s279,2011,J,369,2,s279,2,0,0,0,0,0,0,N,N
2_s280,2011,J,370,2,s280,2,0,0,0,0,0,0,N,N
2_s281,2011,J,371,2,s281,2,0,0,0,0,0,0,N,N
2_s282,2011,J,372,2,s282,2,0,0,0,0,0,0,N,N
2_s283,2011,J,373,2,s283,2,0,0,0,0,0,0,N,N
2_s284,2011,J,374,2,s284,2,0,0,0,0,0,0,N,N
2_s285,2011,J,375,2,s285,2,0,0,0,0,0,0,N,N
2_s286,2011,J,376,2,s286,2,0,0,0,0,0,0,N,N
2_s287,2011,J,377,2,s287,2,0,0,0,0,0,0,N,N
2_s288,2011,J,378,2,s288,2,0,0,0,0,0,0,N,N
1_706,2011,J,6,1,706,4,0,0,0,0,1,0,N,N
9_317,2011,J,108,9,317,9,0,5,1,111,2,0,N,N
8_747,2011,J,91,8,747,1.1,0,0,0,0,0,0,Y,N
2_750,2011,J,24,2,750,8,0,0,0,0,0,0,Y,N
8_7481,2011,J,92,8,7481,1,0,0,0,0,0,0,Y,N
8_7482,2011,J,93,8,7482,1.35,0,0,0,0,0,0,Y,N
2_749B,2011,J,379,2,749B,2,0,0,0,0,0,0,Y,N
2_749C,2011,J,380,2,749C,2,0,0,0,0,0,0,Y,N
2_749D,2011,J,381,2,749D,2,0,0,0,0,0,0,Y,N
2_749E,2011,J,382,2,749E,2,0,0,0,0,0,0,Y,N
2_749F,2011,J,383,2,749F,2,0,0,0,0,0,0,Y,N
2_749G,2011,J,384,2,749G,2,0,0,0,0,0,0,Y,N
2_749H,2011,J,385,2,749H,2,0,0,0,0,0,0,Y,N
2_750A,2011,J,386,2,750A,2,0,0,0,0,0,0,Y,N
2_750B,2011,J,387,2,750B,2,0,0,0,0,0,0,Y,N
2_750C,2011,J,388,2,750C,2,0,0,0,0,0,0,Y,N
2_s1,2011,J,0,2,s1,2,0,0,0,0,0,0,Y,N
2_s10,2011,J,398,2,s10,2,0,0,0,0,0,0,Y,N
2_s100,2011,J,488,2,s100,2,0,0,0,0,0,0,Y,N
2_s101,2011,J,489,2,s101,2,0,0,0,0,0,0,Y,N
2_s102,2011,J,490,2,s102,2,0,0,0,0,0,0,Y,N
2_s103,2011,J,491,2,s103,2,0,0,0,0,0,0,Y,N
2_s104,2011,J,492,2,s104,2,0,0,0,0,0,0,Y,N
2_s105,2011,J,493,2,s105,2,0,0,0,0,0,0,Y,N
2_s106,2011,J,494,2,s106,2,0,0,0,0,0,0,Y,N
2_s107,2011,J,495,2,s107,2,0,0,0,0,0,0,Y,N
2_s108,2011,J,496,2,s108,2,0,0,0,0,0,0,Y,N
2_s109,2011,J,497,2,s109,2,0,0,0,0,0,0,Y,N
2_s11,2011,J,399,2,s11,2,0,0,0,0,0,0,Y,N
2_s110,2011,J,498,2,s110,2,0,0,0,0,0,0,Y,N
2_s111,2011,J,499,2,s111,2,0,0,0,0,0,0,Y,N
2_s112,2011,J,500,2,s112,2,0,0,0,0,0,0,Y,N
2_s113,2011,J,501,2,s113,2,0,0,0,0,0,0,Y,N
2_s114,2011,J,502,2,s114,2,0,0,0,0,0,0,Y,N
2_s115,2011,J,503,2,s115,2,0,0,0,0,0,0,Y,N
2_s116,2011,J,504,2,s116,2,0,0,0,0,0,0,Y,N
2_s117,2011,J,505,2,s117,2,0,0,0,0,0,0,Y,N
2_s118,2011,J,506,2,s118,2,0,0,0,0,0,0,Y,N
2_s119,2011,J,507,2,s119,2,0,0,0,0,0,0,Y,N
2_s12,2011,J,400,2,s12,2,0,0,0,0,0,0,Y,N
2_s120,2011,J,508,2,s120,2,0,0,0,0,0,0,Y,N
2_s121,2011,J,509,2,s121,2,0,0,0,0,0,0,Y,N
2_s122,2011,J,510,2,s122,2,0,0,0,0,0,0,Y,N
2_s123,2011,J,511,2,s123,2,0,0,0,0,0,0,Y,N
2_s124,2011,J,512,2,s124,2,0,0,0,0,0,0,Y,N
2_s125,2011,J,513,2,s125,2,0,0,0,0,0,0,Y,N
2_s126,2011,J,514,2,s126,2,0,0,0,0,0,0,Y,N
2_s127,2011,J,515,2,s127,2,0,0,0,0,0,0,Y,N
2_s128,2011,J,516,2,s128,2,0,0,0,0,0,0,Y,N
2_s129,2011,J,517,2,s129,2,0,0,0,0,0,0,Y,N
2_s13,2011,J,401,2,s13,2,0,0,0,0,0,0,Y,N
2_s130,2011,J,518,2,s130,2,0,0,0,0,0,0,Y,N
2_s131,2011,J,519,2,s131,2,0,0,0,0,0,0,Y,N
2_s132,2011,J,520,2,s132,2,0,0,0,0,0,0,Y,N
2_s133,2011,J,521,2,s133,2,0,0,0,0,0,0,Y,N
2_s134,2011,J,522,2,s134,2,0,0,0,0,0,0,Y,N
2_s135,2011,J,523,2,s135,2,0,0,0,0,0,0,Y,N
2_s136,2011,J,524,2,s136,2,0,0,0,0,0,0,Y,N
2_s137,2011,J,525,2,s137,2,0,0,0,0,0,0,Y,N
2_s138,2011,J,526,2,s138,2,0,0,0,0,0,0,Y,N
2_s139,2011,J,527,2,s139,2,0,0,0,0,0,0,Y,N
2_s14,2011,J,402,2,s14,2,0,0,0,0,0,0,Y,N
2_s140,2011,J,528,2,s140,2,0,0,0,0,0,0,Y,N
2_s141,2011,J,529,2,s141,2,0,0,0,0,0,0,Y,N
2_s142,2011,J,530,2,s142,2,0,0,0,0,0,0,Y,N
2_s143,2011,J,531,2,s143,2,0,0,0,0,0,0,Y,N
2_s144,2011,J,532,2,s144,2,0,0,0,0,0,0,Y,N
2_s145,2011,J,533,2,s145,2,0,0,0,0,0,0,Y,N
2_s146,2011,J,534,2,s146,2,0,0,0,0,0,0,Y,N
2_s147,2011,J,535,2,s147,2,0,0,0,0,0,0,Y,N
2_s148,2011,J,536,2,s148,2,0,0,0,0,0,0,Y,N
2_s149,2011,J,537,2,s149,2,0,0,0,0,0,0,Y,N
2_s15,2011,J,403,2,s15,2,0,0,0,0,0,0,Y,N
2_s150,2011,J,538,2,s150,2,0,0,0,0,0,0,Y,N
2_s151,2011,J,539,2,s151,2,0,0,0,0,0,0,Y,N
2_s152,2011,J,540,2,s152,2,0,0,0,0,0,0,Y,N
2_s153,2011,J,541,2,s153,2,0,0,0,0,0,0,Y,N
2_s154,2011,J,542,2,s154,2,0,0,0,0,0,0,Y,N
4_s155,2011,J,543,4,s155,2,0,0,0,0,0,0,Y,N
4_s156,2011,J,544,4,s156,2,0,0,0,0,0,0,Y,N
4_s157,2011,J,545,4,s157,2,0,0,0,0,0,0,Y,N
6_s157,2011,J,556,6,s157,2,0,0,0,0,0,0,Y,N
4_s158,2011,J,546,4,s158,2,0,0,0,0,0,0,Y,N
6_s158,2011,J,557,6,s158,2,0,0,0,0,0,0,Y,N
6_s159,2011,J,558,6,s159,2,0,0,0,0,0,0,Y,N
2_s16,2011,J,404,2,s16,2,0,0,0,0,0,0,Y,N
6_s160,2011,J,559,6,s160,2,0,0,0,0,0,0,Y,N
6_s161,2011,J,560,6,s161,2,0,0,0,0,0,0,Y,N
6_s162,2011,J,561,6,s162,2,0,0,0,0,0,0,Y,N
6_s163,2011,J,562,6,s163,2,0,0,0,0,0,0,Y,N
6_s164,2011,J,563,6,s164,2,0,0,0,0,0,0,Y,N
6_s165,2011,J,564,6,s165,2,0,0,0,0,0,0,Y,N
6_s166,2011,J,565,6,s166,2,0,0,0,0,0,0,Y,N
6_s167,2011,J,566,6,s167,2,0,0,0,0,0,0,Y,N
6_s168,2011,J,567,6,s168,2,0,0,0,0,0,0,Y,N
6_s169,2011,J,568,6,s169,2,0,0,0,0,0,0,Y,N
2_s17,2011,J,405,2,s17,2,0,0,0,0,0,0,Y,N
6_s170,2011,J,569,6,s170,2,0,0,0,0,0,0,Y,N
5_s177,2011,J,553,5,s177,2,0,0,0,0,0,0,Y,N
5_s178,2011,J,554,5,s178,2,0,0,0,0,0,0,Y,N
5_s179,2011,J,555,5,s179,2,0,0,0,0,0,0,Y,N
2_s18,2011,J,406,2,s18,2,0,0,0,0,0,0,Y,N
2_s19,2011,J,407,2,s19,2,0,0,0,0,0,0,Y,N
2_s2,2011,J,390,2,s2,2,0,0,0,0,0,0,Y,N
2_s20,2011,J,408,2,s20,2,0,0,0,0,0,0,Y,N
2_s21,2011,J,409,2,s21,2,0,0,0,0,0,0,Y,N
2_s22,2011,J,410,2,s22,2,0,0,0,0,0,0,Y,N
2_s23,2011,J,411,2,s23,2,0,0,0,0,0,0,Y,N
2_s24,2011,J,412,2,s24,2,0,0,0,0,0,0,Y,N
2_s25,2011,J,413,2,s25,2,0,0,0,0,0,0,Y,N
2_s26,2011,J,414,2,s26,2,0,0,0,0,0,0,Y,N
2_s27,2011,J,415,2,s27,2,0,0,0,0,0,0,Y,N
2_s28,2011,J,416,2,s28,2,0,0,0,0,0,0,Y,N
2_s29,2011,J,417,2,s29,2,0,0,0,0,0,0,Y,N
2_s3,2011,J,391,2,s3,2,0,0,0,0,0,0,Y,N
2_s30,2011,J,418,2,s30,2,0,0,0,0,0,0,Y,N
2_s31,2011,J,419,2,s31,2,0,0,0,0,0,0,Y,N
2_s32,2011,J,420,2,s32,2,0,0,0,0,0,0,Y,N
2_s33,2011,J,421,2,s33,2,0,0,0,0,0,0,Y,N
2_s34,2011,J,422,2,s34,2,0,0,0,0,0,0,Y,N
2_s35,2011,J,423,2,s35,2,0,0,0,0,0,0,Y,N
2_s36,2011,J,424,2,s36,2,0,0,0,0,0,0,Y,N
2_s37,2011,J,425,2,s37,2,0,0,0,0,0,0,Y,N
2_s38,2011,J,426,2,s38,2,0,0,0,0,0,0,Y,N
2_s39,2011,J,427,2,s39,2,0,0,0,0,0,0,Y,N
2_s4,2011,J,392,2,s4,2,0,0,0,0,0,0,Y,N
2_s40,2011,J,428,2,s40,2,0,0,0,0,0,0,Y,N
2_s41,2011,J,429,2,s41,2,0,0,0,0,0,0,Y,N
2_s42,2011,J,430,2,s42,2,0,0,0,0,0,0,Y,N
2_s43,2011,J,431,2,s43,2,0,0,0,0,0,0,Y,N
2_s44,2011,J,432,2,s44,2,0,0,0,0,0,0,Y,N
2_s45,2011,J,433,2,s45,2,0,0,0,0,0,0,Y,N
2_s46,2011,J,434,2,s46,2,0,0,0,0,0,0,Y,N
2_s47,2011,J,435,2,s47,2,0,0,0,0,0,0,Y,N
2_s48,2011,J,436,2,s48,2,0,0,0,0,0,0,Y,N
2_s49,2011,J,437,2,s49,2,0,0,0,0,0,0,Y,N
2_s5,2011,J,393,2,s5,2,0,0,0,0,0,0,Y,N
2_s50,2011,J,438,2,s50,2,0,0,0,0,0,0,Y,N
2_s51,2011,J,439,2,s51,2,0,0,0,0,0,0,Y,N
2_s52,2011,J,440,2,s52,2,0,0,0,0,0,0,Y,N
2_s53,2011,J,441,2,s53,2,0,0,0,0,0,0,Y,N
2_s54,2011,J,442,2,s54,2,0,0,0,0,0,0,Y,N
2_s55,2011,J,443,2,s55,2,0,0,0,0,0,0,Y,N
2_s56,2011,J,444,2,s56,2,0,0,0,0,0,0,Y,N
2_s57,2011,J,445,2,s57,2,0,0,0,0,0,0,Y,N
2_s58,2011,J,446,2,s58,2,0,0,0,0,0,0,Y,N
2_s59,2011,J,447,2,s59,2,0,0,0,0,0,0,Y,N
2_s6,2011,J,394,2,s6,2,0,0,0,0,0,0,Y,N
2_s60,2011,J,448,2,s60,2,0,0,0,0,0,0,Y,N
2_s61,2011,J,449,2,s61,2,0,0,0,0,0,0,Y,N
2_s62,2011,J,450,2,s62,2,0,0,0,0,0,0,Y,N
2_s63,2011,J,451,2,s63,2,0,0,0,0,0,0,Y,N
2_s64,2011,J,452,2,s64,2,0,0,0,0,0,0,Y,N
2_s65,2011,J,453,2,s65,2,0,0,0,0,0,0,Y,N
2_s66,2011,J,454,2,s66,2,0,0,0,0,0,0,Y,N
2_s67,2011,J,455,2,s67,2,0,0,0,0,0,0,Y,N
2_s68,2011,J,456,2,s68,2,0,0,0,0,0,0,Y,N
2_s69,2011,J,457,2,s69,2,0,0,0,0,0,0,Y,N
2_s7,2011,J,395,2,s7,2,0,0,0,0,0,0,Y,N
2_s70,2011,J,458,2,s70,2,0,0,0,0,0,0,Y,N
2_s71,2011,J,459,2,s71,2,0,0,0,0,0,0,Y,N
2_s72,2011,J,460,2,s72,2,0,0,0,0,0,0,Y,N
2_s73,2011,J,461,2,s73,2,0,0,0,0,0,0,Y,N
2_s74,2011,J,462,2,s74,2,0,0,0,0,0,0,Y,N
2_s75,2011,J,463,2,s75,2,0,0,0,0,0,0,Y,N
2_s76,2011,J,464,2,s76,2,0,0,0,0,0,0,Y,N
2_s77,2011,J,465,2,s77,2,0,0,0,0,0,0,Y,N
2_s78,2011,J,466,2,s78,2,0,0,0,0,0,0,Y,N
2_s79,2011,J,467,2,s79,2,0,0,0,0,0,0,Y,N
2_s8,2011,J,396,2,s8,2,0,0,0,0,0,0,Y,N
2_s80,2011,J,468,2,s80,2,0,0,0,0,0,0,Y,N
2_s81,2011,J,469,2,s81,2,0,0,0,0,0,0,Y,N
2_s82,2011,J,470,2,s82,2,0,0,0,0,0,0,Y,N
2_s83,2011,J,471,2,s83,2,0,0,0,0,0,0,Y,N
2_s84,2011,J,472,2,s84,2,0,0,0,0,0,0,Y,N
2_s85,2011,J,473,2,s85,2,0,0,0,0,0,0,Y,N
2_s86,2011,J,474,2,s86,2,0,0,0,0,0,0,Y,N
2_s87,2011,J,475,2,s87,2,0,0,0,0,0,0,Y,N
2_s88,2011,J,476,2,s88,2,0,0,0,0,0,0,Y,N
2_s89,2011,J,477,2,s89,2,0,0,0,0,0,0,Y,N
2_s9,2011,J,397,2,s9,2,0,0,0,0,0,0,Y,N
2_s90,2011,J,478,2,s90,2,0,0,0,0,0,0,Y,N
2_s91,2011,J,479,2,s91,2,0,0,0,0,0,0,Y,N
2_s92,2011,J,480,2,s92,2,0,0,0,0,0,0,Y,N
2_s93,2011,J,481,2,s93,2,0,0,0,0,0,0,Y,N
2_s94,2011,J,482,2,s94,2,0,0,0,0,0,0,Y,N
2_s95,2011,J,483,2,s95,2,0,0,0,0,0,0,Y,N
2_s96,2011,J,484,2,s96,2,0,0,0,0,0,0,Y,N
2_s97,2011,J,485,2,s97,2,0,0,0,0,0,0,Y,N
2_s98,2011,J,486,2,s98,2,0,0,0,0,0,0,Y,N
2_s99,2011,J,487,2,s99,2,0,0,0,0,0,0,Y,N
9_319,2012,A1,221,9,319,17,26.7,0,0,0,0,0,N,N
6_766,2012,A1,158,6,766,15,26.7,0,0,0,0,0,N,N
6_767,2012,A1,159,6,767,13.75,26.7,0,0,0,0,0,N,Y
6_771,2012,A1,163,6,771,20.5,26.7,0,0,0,0,0,N,Y
6_772,2012,A1,164,6,772,19.5,26.7,0,0,0,0,0,N,N
7_774,2012,A1,166,7,774,20,26.7,0,0,0,0,0,N,N
7_780,2012,A1,172,7,780,17.5,26.7,0,0,0,0,0,N,N
7_781,2012,A1,173,7,781,13.5,26.7,0,0,0,0,0,N,N
7_782,2012,A1,174,7,782,19,26.7,0,0,0,0,0,N,Y
7_783,2012,A1,175,7,783,20,26.7,0,0,0,0,0,N,Y
7_784,2012,A1,176,7,784,16.5,26.7,0,0,0,0,0,N,Y
7_789,2012,A1,181,7,789,15,26.7,0,0,0,0,0,N,Y
7_793,2012,A1,185,7,793,19,26.7,0,0,0,0,0,N,Y
9_307,2012,A1,209,9,307,15.75,26.7,0,0,0,0,0,Y,N
9_318,2012,A1,220,9,318,11,26.7,0,0,0,0,0,Y,N
5_763,2012,A2,155,5,763,27.5,476.6,0,0,0,0,0,N,N
6_765,2012,A2,157,6,765,22.5,476.6,0,0,0,0,0,N,Y
6_768,2012,A2,160,6,768,22.5,476.6,0,0,0,0,0,N,Y
6_769,2012,A2,161,6,769,28.5,476.6,0,0,0,0,0,N,Y
7_773,2012,A2,165,7,773,23,476.6,5,1,111,1,0,N,Y
9_303,2012,A2,205,9,303,28.5,476.6,0,0,0,0,0,Y,N
1_715,2012,A2,125,1,715,22,476.6,0,0,0,0,0,Y,N
5_760,2012,A2,152,5,760,26.5,476.6,0,0,0,0,0,Y,N
5_764,2012,A2,156,5,764,30,476.6,0,0,0,0,0,Y,N
6_770,2012,A2,162,6,770,22.5,476.6,0,0,0,0,0,Y,N
7_775,2012,A2,167,7,775,28.5,476.6,0,0,0,0,0,Y,N
7_776,2012,A2,168,7,776,26.5,476.6,0,0,0,0,0,Y,N
1_718,2012,A2,127,1,718,22,476.6,5,1,111,1,115,Y,N
2_750,2012,A2,135,2,750,21.5,476.6,5,1,111,3,322,Y,N
5_759,2012,A3,151,5,759,36.25,668.1,0,0,0,0,0,N,Y
5_761,2012,A3,153,5,761,32,668.1,0,0,0,0,0,N,Y
7_792,2012,A3,184,7,792,35,668.1,0,0,0,0,0,N,Y
7_791,2012,A3,183,7,791,37.5,668.1,0,0,0,0,0,Y,N
7_788,2012,A3,180,7,788,35,668.1,18,2,123,22,7185.2,Y,N
7_779,2012,A4,171,7,779,44,1860,0,0,0,0,0,N,N
7_790,2012,A4,182,7,790,44,1860,0,0,0,0,0,Y,N
1_719,2012,A4,128,1,719,44,1860,181,4,312,87,28414.2,Y,N
9_305,2012,dead,207,9,305,0,0,0,0,0,0,0,N,N
9_306,2012,dead,208,9,306,0,0,0,0,0,0,0,N,N
9_311,2012,dead,213,9,311,0,0,0,0,0,0,0,N,N
9_312,2012,dead,214,9,312,0,0,0,0,0,0,0,N,N
9_313,2012,dead,215,9,313,0,0,0,0,0,0,0,N,N
9_315,2012,dead,217,9,315,0,0,0,0,0,0,0,N,N
1_703,2012,dead,113,1,703,0,0,0,0,0,0,0,N,Y
1_704,2012,dead,114,1,704,0,0,0,0,0,0,0,N,Y
1_705,2012,dead,115,1,705,0,0,0,0,0,0,0,N,N
1_708,2012,dead,118,1,708,0,0,0,0,0,0,0,N,N
1_709,2012,dead,119,1,709,0,0,0,0,0,0,0,N,N
1_710,2012,dead,120,1,710,0,0,0,0,0,0,0,N,N
4_727,2012,dead,146,4,727,0,0,0,0,0,0,0,N,N
4_728,2012,dead,147,4,728,0,0,0,0,0,0,0,N,N
8_732,2012,dead,187,8,732,0,0,0,0,0,0,0,N,N
8_733,2012,dead,188,8,733,0,0,0,0,0,0,0,N,N
8_734,2012,dead,189,8,734,0,0,0,0,0,0,0,N,N
8_735,2012,dead,190,8,735,0,0,0,0,0,0,0,N,N
8_736,2012,dead,191,8,736,0,0,0,0,0,0,0,N,N
8_737,2012,dead,192,8,737,0,0,0,0,0,0,0,N,N
8_740,2012,dead,195,8,740,0,0,0,0,0,0,0,N,N
8_741,2012,dead,196,8,741,0,0,0,0,0,0,0,N,N
8_743,2012,dead,198,8,743,0,0,0,0,0,0,0,N,N
8_744,2012,dead,199,8,744,0,0,0,0,0,0,0,N,N
8_746,2012,dead,201,8,746,0,0,0,0,0,0,0,N,N
3_751,2012,dead,136,3,751,0,0,0,0,0,0,0,N,N
3_753,2012,dead,138,3,753,0,0,0,0,0,0,0,N,N
3_755,2012,dead,140,3,755,0,0,0,0,0,0,0,N,N
3_756,2012,dead,141,3,756,0,0,0,0,0,0,0,N,N
7_785,2012,dead,177,7,785,0,0,0,0,0,0,0,N,N
7_786,2012,dead,178,7,786,0,0,0,0,0,0,0,N,N
8_7482,2012,dead,204,8,7482,0,0,0,0,0,0,0,N,N
2_s155,2012,dead,245,2,s155,2,0,0,0,0,0,0,N,N
2_s156,2012,dead,246,2,s156,2,0,0,0,0,0,0,N,N
5_s156,2012,dead,548,5,s156,2,0,0,0,0,0,0,N,N
2_s157,2012,dead,247,2,s157,2,0,0,0,0,0,0,N,N
2_s158,2012,dead,248,2,s158,2,0,0,0,0,0,0,N,N
2_s159,2012,dead,249,2,s159,2,0,0,0,0,0,0,N,N
5_s159,2012,dead,547,5,s159,2,0,0,0,0,0,0,N,N
2_s160,2012,dead,250,2,s160,2,0,0,0,0,0,0,N,N
2_s161,2012,dead,251,2,s161,2,0,0,0,0,0,0,N,N
2_s162,2012,dead,252,2,s162,2,0,0,0,0,0,0,N,N
2_s163,2012,dead,253,2,s163,2,0,0,0,0,0,0,N,N
2_s164,2012,dead,254,2,s164,2,0,0,0,0,0,0,N,N
2_s165,2012,dead,255,2,s165,2,0,0,0,0,0,0,N,N
2_s166,2012,dead,256,2,s166,2,0,0,0,0,0,0,N,N
2_s167,2012,dead,257,2,s167,2,0,0,0,0,0,0,N,N
2_s168,2012,dead,258,2,s168,2,0,0,0,0,0,0,N,N
2_s169,2012,dead,259,2,s169,2,0,0,0,0,0,0,N,N
2_s170,2012,dead,260,2,s170,2,0,0,0,0,0,0,N,N
2_s171,2012,dead,261,2,s171,2,0,0,0,0,0,0,N,N
6_s171,2012,dead,570,6,s171,2,0,0,0,0,0,0,N,N
2_s172,2012,dead,262,2,s172,2,0,0,0,0,0,0,N,N
6_s172,2012,dead,571,6,s172,2,0,0,0,0,0,0,N,N
2_s173,2012,dead,263,2,s173,2,0,0,0,0,0,0,N,N
6_s173,2012,dead,572,6,s173,2,0,0,0,0,0,0,N,N
2_s174,2012,dead,264,2,s174,2,0,0,0,0,0,0,N,N
5_s174,2012,dead,550,5,s174,2,0,0,0,0,0,0,N,N
2_s175,2012,dead,265,2,s175,2,0,0,0,0,0,0,N,N
5_s175,2012,dead,551,5,s175,2,0,0,0,0,0,0,N,N
2_s176,2012,dead,266,2,s176,2,0,0,0,0,0,0,N,N
5_s176,2012,dead,552,5,s176,2,0,0,0,0,0,0,N,N
2_s177,2012,dead,267,2,s177,2,0,0,0,0,0,0,N,N
2_s178,2012,dead,268,2,s178,2,0,0,0,0,0,0,N,N
2_s179,2012,dead,269,2,s179,2,0,0,0,0,0,0,N,N
2_s180,2012,dead,270,2,s180,2,0,0,0,0,0,0,N,N
2_s181,2012,dead,271,2,s181,2,0,0,0,0,0,0,N,N
2_s182,2012,dead,272,2,s182,2,0,0,0,0,0,0,N,N
2_s183,2012,dead,273,2,s183,2,0,0,0,0,0,0,N,N
2_s184,2012,dead,274,2,s184,2,0,0,0,0,0,0,N,N
2_s185,2012,dead,275,2,s185,2,0,0,0,0,0,0,N,N
2_s186,2012,dead,276,2,s186,2,0,0,0,0,0,0,N,N
2_s187,2012,dead,277,2,s187,2,0,0,0,0,0,0,N,N
2_s188,2012,dead,278,2,s188,2,0,0,0,0,0,0,N,N
2_s189,2012,dead,279,2,s189,2,0,0,0,0,0,0,N,N
2_s190,2012,dead,280,2,s190,2,0,0,0,0,0,0,N,N
2_s191,2012,dead,281,2,s191,2,0,0,0,0,0,0,N,N
2_s192,2012,dead,282,2,s192,2,0,0,0,0,0,0,N,N
2_s193,2012,dead,283,2,s193,2,0,0,0,0,0,0,N,N
2_s194,2012,dead,284,2,s194,2,0,0,0,0,0,0,N,N
2_s195,2012,dead,285,2,s195,2,0,0,0,0,0,0,N,N
2_s196,2012,dead,286,2,s196,2,0,0,0,0,0,0,N,N
2_s197,2012,dead,287,2,s197,2,0,0,0,0,0,0,N,N
2_s198,2012,dead,288,2,s198,2,0,0,0,0,0,0,N,N
2_s199,2012,dead,289,2,s199,2,0,0,0,0,0,0,N,N
2_s200,2012,dead,290,2,s200,2,0,0,0,0,0,0,N,N
2_s201,2012,dead,291,2,s201,2,0,0,0,0,0,0,N,N
2_s202,2012,dead,292,2,s202,2,0,0,0,0,0,0,N,N
2_s203,2012,dead,293,2,s203,2,0,0,0,0,0,0,N,N
2_s204,2012,dead,294,2,s204,2,0,0,0,0,0,0,N,N
2_s205,2012,dead,295,2,s205,2,0,0,0,0,0,0,N,N
2_s206,2012,dead,296,2,s206,2,0,0,0,0,0,0,N,N
2_s207,2012,dead,297,2,s207,2,0,0,0,0,0,0,N,N
2_s208,2012,dead,298,2,s208,2,0,0,0,0,0,0,N,N
2_s209,2012,dead,299,2,s209,2,0,0,0,0,0,0,N,N
2_s210,2012,dead,300,2,s210,2,0,0,0,0,0,0,N,N
2_s211,2012,dead,301,2,s211,2,0,0,0,0,0,0,N,N
2_s212,2012,dead,302,2,s212,2,0,0,0,0,0,0,N,N
2_s213,2012,dead,303,2,s213,2,0,0,0,0,0,0,N,N
2_s214,2012,dead,304,2,s214,2,0,0,0,0,0,0,N,N
2_s215,2012,dead,305,2,s215,2,0,0,0,0,0,0,N,N
2_s216,2012,dead,306,2,s216,2,0,0,0,0,0,0,N,N
2_s217,2012,dead,307,2,s217,2,0,0,0,0,0,0,N,N
2_s218,2012,dead,308,2,s218,2,0,0,0,0,0,0,N,N
2_s219,2012,dead,309,2,s219,2,0,0,0,0,0,0,N,N
2_s220,2012,dead,310,2,s220,2,0,0,0,0,0,0,N,N
2_s221,2012,dead,311,2,s221,2,0,0,0,0,0,0,N,N
2_s222,2012,dead,312,2,s222,2,0,0,0,0,0,0,N,N
2_s223,2012,dead,313,2,s223,2,0,0,0,0,0,0,N,N
2_s224,2012,dead,314,2,s224,2,0,0,0,0,0,0,N,N
2_s225,2012,dead,315,2,s225,2,0,0,0,0,0,0,N,N
2_s226,2012,dead,316,2,s226,2,0,0,0,0,0,0,N,N
2_s227,2012,dead,317,2,s227,2,0,0,0,0,0,0,N,N
2_s228,2012,dead,318,2,s228,2,0,0,0,0,0,0,N,N
2_s229,2012,dead,319,2,s229,2,0,0,0,0,0,0,N,N
2_s230,2012,dead,320,2,s230,2,0,0,0,0,0,0,N,N
2_s231,2012,dead,321,2,s231,2,0,0,0,0,0,0,N,N
2_s232,2012,dead,322,2,s232,2,0,0,0,0,0,0,N,N
2_s233,2012,dead,323,2,s233,2,0,0,0,0,0,0,N,N
2_s234,2012,dead,324,2,s234,2,0,0,0,0,0,0,N,N
2_s235,2012,dead,325,2,s235,2,0,0,0,0,0,0,N,N
2_s236,2012,dead,326,2,s236,2,0,0,0,0,0,0,N,N
2_s237,2012,dead,327,2,s237,2,0,0,0,0,0,0,N,N
2_s238,2012,dead,328,2,s238,2,0,0,0,0,0,0,N,N
2_s239,2012,dead,329,2,s239,2,0,0,0,0,0,0,N,N
2_s240,2012,dead,330,2,s240,2,0,0,0,0,0,0,N,N
2_s241,2012,dead,331,2,s241,2,0,0,0,0,0,0,N,N
2_s242,2012,dead,332,2,s242,2,0,0,0,0,0,0,N,N
2_s243,2012,dead,333,2,s243,2,0,0,0,0,0,0,N,N
2_s244,2012,dead,334,2,s244,2,0,0,0,0,0,0,N,N
2_s245,2012,dead,335,2,s245,2,0,0,0,0,0,0,N,N
2_s246,2012,dead,336,2,s246,2,0,0,0,0,0,0,N,N
2_s247,2012,dead,337,2,s247,2,0,0,0,0,0,0,N,N
2_s248,2012,dead,338,2,s248,2,0,0,0,0,0,0,N,N
2_s249,2012,dead,339,2,s249,2,0,0,0,0,0,0,N,N
2_s250,2012,dead,340,2,s250,2,0,0,0,0,0,0,N,N
2_s251,2012,dead,341,2,s251,2,0,0,0,0,0,0,N,N
2_s252,2012,dead,342,2,s252,2,0,0,0,0,0,0,N,N
2_s253,2012,dead,343,2,s253,2,0,0,0,0,0,0,N,N
2_s254,2012,dead,344,2,s254,2,0,0,0,0,0,0,N,N
2_s255,2012,dead,345,2,s255,2,0,0,0,0,0,0,N,N
2_s256,2012,dead,346,2,s256,2,0,0,0,0,0,0,N,N
2_s257,2012,dead,347,2,s257,2,0,0,0,0,0,0,N,N
2_s258,2012,dead,348,2,s258,2,0,0,0,0,0,0,N,N
2_s259,2012,dead,349,2,s259,2,0,0,0,0,0,0,N,N
2_s260,2012,dead,350,2,s260,2,0,0,0,0,0,0,N,N
2_s261,2012,dead,351,2,s261,2,0,0,0,0,0,0,N,N
2_s262,2012,dead,352,2,s262,2,0,0,0,0,0,0,N,N
2_s263,2012,dead,353,2,s263,2,0,0,0,0,0,0,N,N
2_s264,2012,dead,354,2,s264,2,0,0,0,0,0,0,N,N
2_s265,2012,dead,355,2,s265,2,0,0,0,0,0,0,N,N
2_s266,2012,dead,356,2,s266,2,0,0,0,0,0,0,N,N
2_s267,2012,dead,357,2,s267,2,0,0,0,0,0,0,N,N
2_s268,2012,dead,358,2,s268,2,0,0,0,0,0,0,N,N
2_s269,2012,dead,359,2,s269,2,0,0,0,0,0,0,N,N
2_s270,2012,dead,360,2,s270,2,0,0,0,0,0,0,N,N
2_s271,2012,dead,361,2,s271,2,0,0,0,0,0,0,N,N
2_s272,2012,dead,362,2,s272,2,0,0,0,0,0,0,N,N
2_s273,2012,dead,363,2,s273,2,0,0,0,0,0,0,N,N
2_s274,2012,dead,364,2,s274,2,0,0,0,0,0,0,N,N
2_s275,2012,dead,365,2,s275,2,0,0,0,0,0,0,N,N
2_s276,2012,dead,366,2,s276,2,0,0,0,0,0,0,N,N
2_s277,2012,dead,367,2,s277,2,0,0,0,0,0,0,N,N
2_s278,2012,dead,368,2,s278,2,0,0,0,0,0,0,N,N
2_s279,2012,dead,369,2,s279,2,0,0,0,0,0,0,N,N
2_s280,2012,dead,370,2,s280,2,0,0,0,0,0,0,N,N
2_s281,2012,dead,371,2,s281,2,0,0,0,0,0,0,N,N
2_s282,2012,dead,372,2,s282,2,0,0,0,0,0,0,N,N
2_s283,2012,dead,373,2,s283,2,0,0,0,0,0,0,N,N
2_s284,2012,dead,374,2,s284,2,0,0,0,0,0,0,N,N
2_s285,2012,dead,375,2,s285,2,0,0,0,0,0,0,N,N
2_s286,2012,dead,376,2,s286,2,0,0,0,0,0,0,N,N
2_s287,2012,dead,377,2,s287,2,0,0,0,0,0,0,N,N
2_s288,2012,dead,378,2,s288,2,0,0,0,0,0,0,N,N
9_308,2012,dead,210,9,308,0,0,0,0,0,0,0,Y,N
1_701,2012,dead,111,1,701,0,0,0,0,0,0,0,Y,N
1_702,2012,dead,112,1,702,0,0,0,0,0,0,0,Y,N
1_707,2012,dead,117,1,707,0,0,0,0,0,0,0,Y,N
1_711,2012,dead,121,1,711,0,0,0,0,0,0,0,Y,N
1_713,2012,dead,123,1,713,0,0,0,0,0,0,0,Y,N
1_714,2012,dead,124,1,714,0,0,0,0,0,0,0,Y,N
2_721,2012,dead,130,2,721,0,0,0,0,0,0,0,Y,N
4_724,2012,dead,143,4,724,0,0,0,0,0,0,0,Y,N
4_725,2012,dead,144,4,725,0,0,0,0,0,0,0,Y,N
4_730,2012,dead,149,4,730,0,0,0,0,0,0,0,Y,N
8_739,2012,dead,194,8,739,0,0,0,0,0,0,0,Y,N
8_742,2012,dead,197,8,742,0,0,0,0,0,0,0,Y,N
8_745,2012,dead,200,8,745,0,0,0,0,0,0,0,Y,N
8_747,2012,dead,202,8,747,0,0,0,0,0,0,0,Y,N
3_754,2012,dead,139,3,754,0,0,0,0,0,0,0,Y,N
3_757,2012,dead,142,3,757,0,0,0,0,0,0,0,Y,N
8_7481,2012,dead,203,8,7481,0,0,0,0,0,0,0,Y,N
2_s1,2012,dead,99999,2,s1,2,0,0,0,0,0,0,Y,N
2_s10,2012,dead,398,2,s10,2,0,0,0,0,0,0,Y,N
2_s100,2012,dead,488,2,s100,2,0,0,0,0,0,0,Y,N
2_s101,2012,dead,489,2,s101,2,0,0,0,0,0,0,Y,N
2_s102,2012,dead,490,2,s102,2,0,0,0,0,0,0,Y,N
2_s103,2012,dead,491,2,s103,2,0,0,0,0,0,0,Y,N
2_s104,2012,dead,492,2,s104,2,0,0,0,0,0,0,Y,N
2_s105,2012,dead,493,2,s105,2,0,0,0,0,0,0,Y,N
2_s106,2012,dead,494,2,s106,2,0,0,0,0,0,0,Y,N
2_s107,2012,dead,495,2,s107,2,0,0,0,0,0,0,Y,N
2_s108,2012,dead,496,2,s108,2,0,0,0,0,0,0,Y,N
2_s109,2012,dead,497,2,s109,2,0,0,0,0,0,0,Y,N
2_s11,2012,dead,399,2,s11,2,0,0,0,0,0,0,Y,N
2_s110,2012,dead,498,2,s110,2,0,0,0,0,0,0,Y,N
2_s111,2012,dead,499,2,s111,2,0,0,0,0,0,0,Y,N
2_s112,2012,dead,500,2,s112,2,0,0,0,0,0,0,Y,N
2_s113,2012,dead,501,2,s113,2,0,0,0,0,0,0,Y,N
2_s114,2012,dead,502,2,s114,2,0,0,0,0,0,0,Y,N
2_s115,2012,dead,503,2,s115,2,0,0,0,0,0,0,Y,N
2_s116,2012,dead,504,2,s116,2,0,0,0,0,0,0,Y,N
2_s117,2012,dead,505,2,s117,2,0,0,0,0,0,0,Y,N
2_s118,2012,dead,506,2,s118,2,0,0,0,0,0,0,Y,N
2_s119,2012,dead,507,2,s119,2,0,0,0,0,0,0,Y,N
2_s12,2012,dead,400,2,s12,2,0,0,0,0,0,0,Y,N
2_s120,2012,dead,508,2,s120,2,0,0,0,0,0,0,Y,N
2_s121,2012,dead,509,2,s121,2,0,0,0,0,0,0,Y,N
2_s122,2012,dead,510,2,s122,2,0,0,0,0,0,0,Y,N
2_s123,2012,dead,511,2,s123,2,0,0,0,0,0,0,Y,N
2_s124,2012,dead,512,2,s124,2,0,0,0,0,0,0,Y,N
2_s125,2012,dead,513,2,s125,2,0,0,0,0,0,0,Y,N
2_s126,2012,dead,514,2,s126,2,0,0,0,0,0,0,Y,N
2_s127,2012,dead,515,2,s127,2,0,0,0,0,0,0,Y,N
2_s128,2012,dead,516,2,s128,2,0,0,0,0,0,0,Y,N
2_s129,2012,dead,517,2,s129,2,0,0,0,0,0,0,Y,N
2_s13,2012,dead,401,2,s13,2,0,0,0,0,0,0,Y,N
2_s130,2012,dead,518,2,s130,2,0,0,0,0,0,0,Y,N
2_s131,2012,dead,519,2,s131,2,0,0,0,0,0,0,Y,N
2_s132,2012,dead,520,2,s132,2,0,0,0,0,0,0,Y,N
2_s133,2012,dead,521,2,s133,2,0,0,0,0,0,0,Y,N
2_s134,2012,dead,522,2,s134,2,0,0,0,0,0,0,Y,N
2_s135,2012,dead,523,2,s135,2,0,0,0,0,0,0,Y,N
2_s136,2012,dead,524,2,s136,2,0,0,0,0,0,0,Y,N
2_s137,2012,dead,525,2,s137,2,0,0,0,0,0,0,Y,N
2_s138,2012,dead,526,2,s138,2,0,0,0,0,0,0,Y,N
2_s139,2012,dead,527,2,s139,2,0,0,0,0,0,0,Y,N
2_s14,2012,dead,402,2,s14,2,0,0,0,0,0,0,Y,N
2_s140,2012,dead,528,2,s140,2,0,0,0,0,0,0,Y,N
2_s141,2012,dead,529,2,s141,2,0,0,0,0,0,0,Y,N
2_s142,2012,dead,530,2,s142,2,0,0,0,0,0,0,Y,N
2_s143,2012,dead,531,2,s143,2,0,0,0,0,0,0,Y,N
2_s144,2012,dead,532,2,s144,2,0,0,0,0,0,0,Y,N
2_s145,2012,dead,533,2,s145,2,0,0,0,0,0,0,Y,N
2_s146,2012,dead,534,2,s146,2,0,0,0,0,0,0,Y,N
2_s147,2012,dead,535,2,s147,2,0,0,0,0,0,0,Y,N
2_s148,2012,dead,536,2,s148,2,0,0,0,0,0,0,Y,N
2_s149,2012,dead,537,2,s149,2,0,0,0,0,0,0,Y,N
2_s15,2012,dead,403,2,s15,2,0,0,0,0,0,0,Y,N
2_s150,2012,dead,538,2,s150,2,0,0,0,0,0,0,Y,N
2_s151,2012,dead,539,2,s151,2,0,0,0,0,0,0,Y,N
2_s152,2012,dead,540,2,s152,2,0,0,0,0,0,0,Y,N
2_s153,2012,dead,541,2,s153,2,0,0,0,0,0,0,Y,N
2_s154,2012,dead,542,2,s154,2,0,0,0,0,0,0,Y,N
4_s155,2012,dead,543,4,s155,2,0,0,0,0,0,0,Y,N
4_s156,2012,dead,544,4,s156,2,0,0,0,0,0,0,Y,N
4_s157,2012,dead,545,4,s157,2,0,0,0,0,0,0,Y,N
6_s157,2012,dead,556,6,s157,2,0,0,0,0,0,0,Y,N
4_s158,2012,dead,546,4,s158,2,0,0,0,0,0,0,Y,N
6_s158,2012,dead,557,6,s158,2,0,0,0,0,0,0,Y,N
6_s159,2012,dead,558,6,s159,2,0,0,0,0,0,0,Y,N
2_s16,2012,dead,404,2,s16,2,0,0,0,0,0,0,Y,N
6_s160,2012,dead,559,6,s160,2,0,0,0,0,0,0,Y,N
6_s161,2012,dead,560,6,s161,2,0,0,0,0,0,0,Y,N
6_s162,2012,dead,561,6,s162,2,0,0,0,0,0,0,Y,N
6_s163,2012,dead,562,6,s163,2,0,0,0,0,0,0,Y,N
6_s164,2012,dead,563,6,s164,2,0,0,0,0,0,0,Y,N
6_s165,2012,dead,564,6,s165,2,0,0,0,0,0,0,Y,N
6_s166,2012,dead,565,6,s166,2,0,0,0,0,0,0,Y,N
6_s167,2012,dead,566,6,s167,2,0,0,0,0,0,0,Y,N
6_s168,2012,dead,567,6,s168,2,0,0,0,0,0,0,Y,N
6_s169,2012,dead,568,6,s169,2,0,0,0,0,0,0,Y,N
2_s17,2012,dead,405,2,s17,2,0,0,0,0,0,0,Y,N
6_s170,2012,dead,569,6,s170,2,0,0,0,0,0,0,Y,N
5_s177,2012,dead,553,5,s177,2,0,0,0,0,0,0,Y,N
5_s178,2012,dead,554,5,s178,2,0,0,0,0,0,0,Y,N
5_s179,2012,dead,555,5,s179,2,0,0,0,0,0,0,Y,N
2_s18,2012,dead,406,2,s18,2,0,0,0,0,0,0,Y,N
2_s19,2012,dead,407,2,s19,2,0,0,0,0,0,0,Y,N
2_s2,2012,dead,390,2,s2,2,0,0,0,0,0,0,Y,N
2_s20,2012,dead,408,2,s20,2,0,0,0,0,0,0,Y,N
2_s21,2012,dead,409,2,s21,2,0,0,0,0,0,0,Y,N
2_s22,2012,dead,410,2,s22,2,0,0,0,0,0,0,Y,N
2_s23,2012,dead,411,2,s23,2,0,0,0,0,0,0,Y,N
2_s24,2012,dead,412,2,s24,2,0,0,0,0,0,0,Y,N
2_s25,2012,dead,413,2,s25,2,0,0,0,0,0,0,Y,N
2_s26,2012,dead,414,2,s26,2,0,0,0,0,0,0,Y,N
2_s27,2012,dead,415,2,s27,2,0,0,0,0,0,0,Y,N
2_s28,2012,dead,416,2,s28,2,0,0,0,0,0,0,Y,N
2_s29,2012,dead,417,2,s29,2,0,0,0,0,0,0,Y,N
2_s3,2012,dead,391,2,s3,2,0,0,0,0,0,0,Y,N
2_s30,2012,dead,418,2,s30,2,0,0,0,0,0,0,Y,N
2_s31,2012,dead,419,2,s31,2,0,0,0,0,0,0,Y,N
2_s32,2012,dead,420,2,s32,2,0,0,0,0,0,0,Y,N
2_s33,2012,dead,421,2,s33,2,0,0,0,0,0,0,Y,N
2_s34,2012,dead,422,2,s34,2,0,0,0,0,0,0,Y,N
2_s35,2012,dead,423,2,s35,2,0,0,0,0,0,0,Y,N
2_s36,2012,dead,424,2,s36,2,0,0,0,0,0,0,Y,N
2_s37,2012,dead,425,2,s37,2,0,0,0,0,0,0,Y,N
2_s38,2012,dead,426,2,s38,2,0,0,0,0,0,0,Y,N
2_s39,2012,dead,427,2,s39,2,0,0,0,0,0,0,Y,N
2_s4,2012,dead,392,2,s4,2,0,0,0,0,0,0,Y,N
2_s40,2012,dead,428,2,s40,2,0,0,0,0,0,0,Y,N
2_s41,2012,dead,429,2,s41,2,0,0,0,0,0,0,Y,N
2_s42,2012,dead,430,2,s42,2,0,0,0,0,0,0,Y,N
2_s43,2012,dead,431,2,s43,2,0,0,0,0,0,0,Y,N
2_s44,2012,dead,432,2,s44,2,0,0,0,0,0,0,Y,N
2_s45,2012,dead,433,2,s45,2,0,0,0,0,0,0,Y,N
2_s46,2012,dead,434,2,s46,2,0,0,0,0,0,0,Y,N
2_s47,2012,dead,435,2,s47,2,0,0,0,0,0,0,Y,N
2_s48,2012,dead,436,2,s48,2,0,0,0,0,0,0,Y,N
2_s49,2012,dead,437,2,s49,2,0,0,0,0,0,0,Y,N
2_s5,2012,dead,393,2,s5,2,0,0,0,0,0,0,Y,N
2_s50,2012,dead,438,2,s50,2,0,0,0,0,0,0,Y,N
2_s51,2012,dead,439,2,s51,2,0,0,0,0,0,0,Y,N
2_s52,2012,dead,440,2,s52,2,0,0,0,0,0,0,Y,N
2_s53,2012,dead,441,2,s53,2,0,0,0,0,0,0,Y,N
2_s54,2012,dead,442,2,s54,2,0,0,0,0,0,0,Y,N
2_s55,2012,dead,443,2,s55,2,0,0,0,0,0,0,Y,N
2_s56,2012,dead,444,2,s56,2,0,0,0,0,0,0,Y,N
2_s57,2012,dead,445,2,s57,2,0,0,0,0,0,0,Y,N
2_s58,2012,dead,446,2,s58,2,0,0,0,0,0,0,Y,N
2_s59,2012,dead,447,2,s59,2,0,0,0,0,0,0,Y,N
2_s6,2012,dead,394,2,s6,2,0,0,0,0,0,0,Y,N
2_s60,2012,dead,448,2,s60,2,0,0,0,0,0,0,Y,N
2_s61,2012,dead,449,2,s61,2,0,0,0,0,0,0,Y,N
2_s62,2012,dead,450,2,s62,2,0,0,0,0,0,0,Y,N
2_s63,2012,dead,451,2,s63,2,0,0,0,0,0,0,Y,N
2_s64,2012,dead,452,2,s64,2,0,0,0,0,0,0,Y,N
2_s65,2012,dead,453,2,s65,2,0,0,0,0,0,0,Y,N
2_s66,2012,dead,454,2,s66,2,0,0,0,0,0,0,Y,N
2_s67,2012,dead,455,2,s67,2,0,0,0,0,0,0,Y,N
2_s68,2012,dead,456,2,s68,2,0,0,0,0,0,0,Y,N
2_s69,2012,dead,457,2,s69,2,0,0,0,0,0,0,Y,N
2_s7,2012,dead,395,2,s7,2,0,0,0,0,0,0,Y,N
2_s70,2012,dead,458,2,s70,2,0,0,0,0,0,0,Y,N
2_s71,2012,dead,459,2,s71,2,0,0,0,0,0,0,Y,N
2_s72,2012,dead,460,2,s72,2,0,0,0,0,0,0,Y,N
2_s73,2012,dead,461,2,s73,2,0,0,0,0,0,0,Y,N
2_s74,2012,dead,462,2,s74,2,0,0,0,0,0,0,Y,N
2_s75,2012,dead,463,2,s75,2,0,0,0,0,0,0,Y,N
2_s76,2012,dead,464,2,s76,2,0,0,0,0,0,0,Y,N
2_s77,2012,dead,465,2,s77,2,0,0,0,0,0,0,Y,N
2_s78,2012,dead,466,2,s78,2,0,0,0,0,0,0,Y,N
2_s79,2012,dead,467,2,s79,2,0,0,0,0,0,0,Y,N
2_s8,2012,dead,396,2,s8,2,0,0,0,0,0,0,Y,N
2_s80,2012,dead,468,2,s80,2,0,0,0,0,0,0,Y,N
2_s81,2012,dead,469,2,s81,2,0,0,0,0,0,0,Y,N
2_s82,2012,dead,470,2,s82,2,0,0,0,0,0,0,Y,N
2_s83,2012,dead,471,2,s83,2,0,0,0,0,0,0,Y,N
2_s84,2012,dead,472,2,s84,2,0,0,0,0,0,0,Y,N
2_s85,2012,dead,473,2,s85,2,0,0,0,0,0,0,Y,N
2_s86,2012,dead,474,2,s86,2,0,0,0,0,0,0,Y,N
2_s87,2012,dead,475,2,s87,2,0,0,0,0,0,0,Y,N
2_s88,2012,dead,476,2,s88,2,0,0,0,0,0,0,Y,N
2_s89,2012,dead,477,2,s89,2,0,0,0,0,0,0,Y,N
2_s9,2012,dead,397,2,s9,2,0,0,0,0,0,0,Y,N
2_s90,2012,dead,478,2,s90,2,0,0,0,0,0,0,Y,N
2_s91,2012,dead,479,2,s91,2,0,0,0,0,0,0,Y,N
2_s92,2012,dead,480,2,s92,2,0,0,0,0,0,0,Y,N
2_s93,2012,dead,481,2,s93,2,0,0,0,0,0,0,Y,N
2_s94,2012,dead,482,2,s94,2,0,0,0,0,0,0,Y,N
2_s95,2012,dead,483,2,s95,2,0,0,0,0,0,0,Y,N
2_s96,2012,dead,484,2,s96,2,0,0,0,0,0,0,Y,N
2_s97,2012,dead,485,2,s97,2,0,0,0,0,0,0,Y,N
2_s98,2012,dead,486,2,s98,2,0,0,0,0,0,0,Y,N
2_s99,2012,dead,487,2,s99,2,0,0,0,0,0,0,Y,N
2_1,2012,J,574,2,1,2.45,0,0,0,0,0,0,N,N
2_61,2012,J,575,2,61,3.25,0,0,0,0,0,0,N,N
2_64,2012,J,576,2,64,2,0,0,0,0,0,0,N,N
2_73,2012,J,577,2,73,2,0,0,0,0,0,0,N,N
2_74,2012,J,578,2,74,2,0,0,0,0,0,0,N,N
2_81,2012,J,579,2,81,3.5,0,0,0,0,0,0,N,N
2_93,2012,J,580,2,93,2,0,0,0,0,0,0,N,N
2_96,2012,J,581,2,96,3.7,0,0,0,0,0,0,N,N
2_97,2012,J,582,2,97,3.5,0,0,0,0,0,0,N,N
2_98,2012,J,583,2,98,3.45,0,0,0,0,0,0,N,N
9_317,2012,J,219,9,317,1.5,0,0,0,0,0,0,N,N
1_706,2012,J,116,1,706,0.85,0,0,0,0,0,0,N,N
1_712,2012,J,122,1,712,4,0,0,0,0,0,0,N,Y
1_716,2012,J,126,1,716,0.5,0,0,0,0,0,0,N,Y
2_720,2012,J,129,2,720,7,0,0,0,0,0,0,N,N
2_722,2012,J,131,2,722,4.5,0,0,0,0,0,0,N,N
4_726,2012,J,145,4,726,1.1,0,0,0,0,0,0,N,N
8_731,2012,J,186,8,731,5,0,0,0,0,0,0,N,N
8_738,2012,J,193,8,738,0.4,0,0,0,0,0,0,N,N
2_749,2012,J,134,2,749,8,0,0,0,0,0,0,N,N
3_752,2012,J,137,3,752,5,0,0,0,0,0,0,N,Y
5_758,2012,J,150,5,758,1,0,0,0,0,0,0,N,Y
5_762,2012,J,154,5,762,7,0,0,0,0,0,0,N,N
7_787,2012,J,179,7,787,3,0,0,0,0,0,0,N,Y
2_749A,2012,J,584,2,749A,2.15,0,0,0,0,0,0,N,N
2_750D,2012,J,585,2,750D,1.45,0,0,0,0,0,0,N,N
2_750E,2012,J,586,2,750E,2.05,0,0,0,0,0,0,N,N
2_750F,2012,J,587,2,750F,2,0,0,0,0,0,0,N,N
2_750G,2012,J,588,2,750G,2,0,0,0,0,0,0,N,N
2_750H,2012,J,589,2,750H,2.25,0,0,0,0,0,0,N,N
2_750I,2012,J,590,2,750I,3,0,0,0,0,0,0,N,N
2_750J,2012,J,591,2,750J,1,0,0,0,0,0,0,N,N
2_751A,2012,J,592,2,751A,3.2,0,0,0,0,0,0,N,N
2_752A,2012,J,593,2,752A,1.5,0,0,0,0,0,0,N,N
2_752B,2012,J,594,2,752B,1.4,0,0,0,0,0,0,N,N
2_752C,2012,J,595,2,752C,1.15,0,0,0,0,0,0,N,N
2_752D,2012,J,596,2,752D,1.35,0,0,0,0,0,0,N,N
5_761A,2012,J,607,5,761A,3.7,0,0,0,0,0,0,N,N
6_772A,2012,J,608,6,772A,4.7,0,0,0,0,0,0,N,N
9_304,2012,J,206,9,304,2.75,0,0,0,0,0,0,Y,N
9_309,2012,J,211,9,309,3.25,0,0,0,0,0,0,Y,N
9_310,2012,J,212,9,310,5,0,0,0,0,0,0,Y,N
9_314,2012,J,216,9,314,5.25,0,0,0,0,0,0,Y,N
9_316,2012,J,218,9,316,5.75,0,0,0,0,0,0,Y,N
2_723,2012,J,132,2,723,1.5,0,0,0,0,0,0,Y,N
4_729,2012,J,148,4,729,1.5,0,0,0,0,0,0,Y,N
7_777,2012,J,169,7,777,10.5,0,0,0,0,0,0,Y,N
2_749B,2012,J,597,2,749B,2.75,0,0,0,0,0,0,Y,N
2_749C,2012,J,598,2,749C,5.8,0,0,0,0,0,0,Y,N
2_749D,2012,J,599,2,749D,8.9,0,0,0,0,0,0,Y,N
2_749E,2012,J,600,2,749E,8.7,0,0,0,0,0,0,Y,N
2_749F,2012,J,601,2,749F,5.75,0,0,0,0,0,0,Y,N
2_749G,2012,J,602,2,749G,4.65,0,0,0,0,0,0,Y,N
2_749H,2012,J,603,2,749H,3.35,0,0,0,0,0,0,Y,N
2_750A,2012,J,604,2,750A,0.85,0,0,0,0,0,0,Y,N
2_750B,2012,J,605,2,750B,2.9,0,0,0,0,0,0,Y,N
2_750C,2012,J,606,2,750C,4.25,0,0,0,0,0,0,Y,N
Moore Popbio D-RUG 4-4-13.R
R
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# Demographic analysis using the popbio library and some other fun stuff
# A population viability type analysis for a rare herbacious perennial plant,
# Penstemon albomarginatus, for its only remaining California population
 
# Objectives:
# 1) Estimating the population growth rate - deterministic and stochastic methods
# 2) Sensitivity and elasticity analysis - which transitions/rate are most variable, sensitive to change
# 3) Projecting the population stochastically for different scenarios, observing variation in growth rate
# 4) Quasi extinction probability
# 5) Estimating vital rates from real data, which will never be as good/much the data
# that you would like to have for a PVA - some therapy for me, and maybe you too
 
 
# Load popbio and some other helpful libraries. I use the dropdown menu in RStudio
# to install libraries, it seems to work more consistently for my mac than scripting the installs, sorry.
# Am I missing something basic about installing packages?
 
library(popbio)
library(plyr)
library(reshape)
 
 
# I have already done a bit of magic on my data get here, most or all of which is suggested
# in the Morris and Doak 2005 book Quantitative population biology. That book was an excellent
# guide to this kind of analysis.
# If you want to go deep (and deeper) into this kind of analysis you should get borrow or steal
# Morris and Doak 2005 and Caswell 2002 from the start!
# They are both really excellent and straightforward and you'll be able to answer a lot of the
# questions that you have along the way.
# Most of the functions in popbio are based on functions in these two books. Many of the popbio
# examples are on their data and generate the same graphs etc.
 
# what you need for a class/stage structured demographic model:
# - a bunch of individuals (maybe in different populations)
# - annual survival rates
# - annual class or stage transition rates
# - annual fecundity,
# ie. probability of contribution to the juvenile class in the next year
# - these data for a lot of years, preferably 10 or more (but we do what we can with less)
 
# The crux for plants is that its challenging to 1) count all seeds produced annually and
# 2) know how many seeds really yeilds a juvenile in any year. I am doing a bit of work
# on these issues from limited field data.
# If you have a well behaved penguin that you can collar and track and you
# know produces 2 live juveniles each season, your PVA might be a bit simpler.
 
 
# Our field data had surivival for each year, mean plant diameter, and inflorescence count
# classes. From this I found the median inflorescence number for each class MEDIAN_INLF
# I assigned each plant to CLASS based on its xDIAM_cm. I
# convinced myself that this had biological meaning by looking at the relationship between
# size class and survival. Whatever classes or stages you use, you should be confident
# that they are meaningful for your study species. OR use an integral projection model (IPM)
# instead. These allow you to use continuous variables like size or age rather than classes.
 
# nice abbreviated dataset
andre <-read.csv ("karadat.csv")
str(andre)
 
# Let's look at the stages/classes
levels(andre$CLASS) # note that you need "dead" as a class for the first year that an individual is
# dead. After that it can be omitted.
 
 
#####################################################################################
#### 1. ESTIMATING FECUNDITY
#####################################################################################
# The big challenge for plants = estimating seeds/indiv --> juveniles produced the next year
# based on a few fruit and seed counts and a lot of inflorescence class data
 
# Part 1: How to estimate seed production per plant?
# Multiply seeds/infl from field observations by inflorescence number.
# Ideally you would have seed counts for each plant, but in the absence of those nearly impossible
# data, I'm using a few seeds/fruit counts * fruits/infl counts from 2011 and 2012.
 
# Part 2: How many seeds makes an emergent juvenile?
 
# I'll add some notes on how I made these estimates at the end of this script, but let's start today
# with a dataset ready to go for popbio
# I'm sure that every PVA has a hurdle or five to leap before you have the vital rate data ready to go.
 
# I've added estimated seeds produced per individual per year as a column in this simple dataset
# more on how I generated that later if we are intersted
str(andre)
 
#####################################################################################
#### 2. PICK A STARTING POPULATION VECTOR
#####################################################################################
# this is the # of individuals in each class/stage at the start of your model.
# you should play around with this to see how it effects the outcome. My model is insensitive to realistic changes in this vector.
 
# Here are the "options", the number in each class observed annually
n_options<-ddply (andre, c("YEAR"), function (df)
return(table(df$CLASS)))
n_options
 
# picked starting population vector from 1995, the first year with 9 observed populations
n95<-c(81,31,17,13,11)
n=n95 # this must be called "n" for popbio to work its magic
 
# you can also see that I only have J class individuals for a subset of the years. Check your data for
# missing bits like this. Perhaps your collaborator is forgetting to tell you that they didn't survey
# for new juveniles from 1996-2003. It happens!
 
#####################################################################################
#### 3. GENERATE A TRANSITION MATRIX
#####################################################################################
# this matrix links each individual to its fate in the next year/cycle/season
# this is why you need each individual to be "dead" for a year, but no longer.
# If your raw data is like mine and only taken on live plants, "dead" might be something you have to add.
 
# make columns for year2, fate, and seeds2 for the whole census
trans<-subset(merge(andre, andre, by = "PLANT_UNQ", sort = FALSE), YEAR.x == YEAR.y - 1)
head2(trans)
 
# rename rows and columns to improve clarity (I use the names used by popbio, which are similar to Morris and Doak)
# I think I worked out somewhat painfully that you need these particular column names.
rownames(trans) <- 1:nrow(trans)
colnames(trans)[1:7] <- c("plant", "year", "stage", "seeds", "year2", "fate", "seeds2")
head2(trans)
 
# add individual fertility estimates from the calculations above
seedlingtrans<-0.00305 # This is the rate at which a seed becomes a J individual (I estimated this elsewhere, see Appendix below)
 
# adding in the number of J individuals produced by each individual
trans$J<- trans$seeds * seedlingtrans # note that J is not an integer, which is totally fine, its a rate of J production
head2(trans)
 
#####################################################################################
#### 3. GENERATE ANNUAL MATRICES --- THE SIMPLE WAY for 3 easy years
#####################################################################################
 
################# NAME STAGES ###########################
stages <- c("J", "A1", "A2", "A3", "A4")
# you must have a vector named stages in this way for your own clases or stages used
# in the "stage" vector of your data frame
 
################# SET ITERATIONS ############################
it<-100 # set the number of time steps for a deterministic model
 
# Make a demographic projection matrix for each year like so:
 
# 1994
trans94 <-subset(trans, year == 1994, c(plant, stage, fate, J))
(proj94<-projection.matrix(trans94, stage, fate, J, sort = stages)) #this gives you a projection matrix for 1994
 
# you can do a simple deterministic projection of the matrix for just this year
(p94<-pop.projection(proj94, n, it))
(l94<-p94$lambda) # wow! if we looked only at 1994 based on these estimates the population would be booming!
 
# stable.stage shows the proportion of the population in each stage class at the mythical equilibrium, 48% of plants are juveniles in 100 years
# note that the population has gone from around 200 individuals in 1994 to 2.8e+19 in 100 years, nice!
 
# Now make some matrices for other years
 
# 1995
trans95 <-subset(trans, year == 1995, c(plant, stage, fate, J))
(proj95<-projection.matrix(trans95, stage, fate, J, sort = stages))
 
# 2011
trans11 <-subset(trans, year == 2011, c(plant, stage, fate, J))
(proj11<-projection.matrix(trans11, stage, fate, J, sort = stages))
 
p95<-pop.projection(proj95, n, it)
(l95<-p95$lambda) # lambda is much lower in 1995
 
(p11<-pop.projection(proj11, n, pi))
(l11<-p11$lambda) # and based on 2011 alone extinction is eminent. The gist here is we need lots of years of data to make any decent estimation
# of what the population is really likely to do (ie more than the three here)
 
#####################################################################################
#### 4. DETERMINISTIC ANALAYSIS OF THESE 3 WELL BEHAVED YEARS - basic non-stochastic PVA
#####################################################################################
thesearethemeanprojmats<-list(proj94, proj95, proj11) # make a list of the three matrices
(meanxprojmat <-mean(thesearethemeanprojmats)) # make a mean of the three projection matrices for deterministic analysis
 
n # recall what n is, our starting population vector, ie the # of individuals in each class at the start of the projection
(pprojme <- pop.projection(meanxprojmat, n)) # do the deterministic projection, lambda is the dominant left eigenvalue
(DetLamb<-pprojme$lambda)
 
 
#####################################################################################
#### 5. RUN STOCHASTIC ANALYSES ON THESE 3 WELL BEHAVED YEARS
#####################################################################################
 
# for a stochastic analysis, include all of the annual matrices, then make a random draw with replacement
# for a series of time step, or until stable stage distribution is reached.
 
thesearethemeanprojmats # our list of projection matrices
 
stochme <- stoch.growth.rate(thesearethemeanprojmats, prob=NULL, maxt=50000, verbose=TRUE)
 
# note that these stochastic approximations of lambda are in log form (not immediately comparable to pop.project$lambda)
exp(stochme$approx) # is the analytic approximation of lambda via Tuljapakar's method
stochme$approx # this is more accurate (perhaps) when there is a lot of covariation in matrix elements
exp(stochme$sim) # gives stochastic growth rate by simulation, random draws of whole
stochme$sim
 
# Tuljapurkar’s approximation takes into account how stochastic variation in the matrix elements affects the
# long-term stochastic growth rate (Caswell 2001). It can be more accurate in cases where there is
# covariation between matrix elements within the same year but may not be as accurate when there is a high
# level of temporal variation (Morris and Doak 2002, Stubben et al. 2012).
 
#### Fun with stochastic analyses!
# Its easy to give years "weights" in the stochastic model. For example, you can increase the
# drought rate by weighting drought years (2011)
 
yearweight<-c(1,1,2)
moredrought <- stoch.projection(thesearethemeanprojmats, n, tmax=50, prob=yearweight, nreps = 500)
# the output is population sizes, which are fun to graph when comparing models
yearweight<-c(1,1,0)
nodrought <- stoch.projection(thesearethemeanprojmats, n, tmax=50, prob=yearweight, nreps = 500)
 
par(mfrow=c(2,1))
hist(log(apply(moredrought, 1, sum)),col="blue",density=50, ylim=c(0,150),
xlim=c(-1.3,25), xlab="", main='More drought')
abline(v=log10(200), lty=3) # puts a line at the starting population size for reference
hist(log(apply(nodrought, 1, sum)),col="green3",density=50, ylim=c(0,150),
xlim=c(-1.3,25), xlab="", main='No drought')
abline(v=log10(200), lty=3)
# you can get fancy and put these on the same graph too to compare outcomes.
# y axis is frequency of final population size at tmax.
 
 
#####################################################################################
#### 6. QUASI EXTINCTION BASED ON THESE 3 WELL BEHAVED YEARS
#####################################################################################
# another useful way to think about populations. Since our ability to really estimate lambda
# is based on the assumption of equilibrium at stable stage, it might be more realistic
# to think about comparing extinction probabilities for different scenarios that comparing
# lambdas.
# these are based on stochastic runs
 
obsd<-stoch.quasi.ext(thesearethemeanprojmats, n,prob=c(1,1,1),
Nx=10, tmax = 50, maxruns = 10, nreps=500, sumweight=c(1,1,1))
 
drt<-stoch.quasi.ext(thesearethemeanprojmats, n,prob=c(1,1,2),
Nx=10, tmax = 50, maxruns = 10, nreps=500, sumweight=c(1,1,1))
 
par(mfrow=c(2,1))
matplot(obsd, ylab="Quasi-extinction probability", ylim=c(0,1.1),
type="l", lty=1, col=rainbow(10), las=1, main='Observed climate',
xlab="Years")
matplot(drt, ylab="Quasi-extinction probability", ylim=c(0,1.1),
type="l", lty=1, col=rainbow(10), las=1, main='Double drought',
xlab="Years")
 
#####################################################################################
#### 7. SENSITIVITY AND ELASTICITY
#####################################################################################
# SENSITIVITY is a measure of the amount of change is lambda give a small change in a matrix element.
 
# ELASTICITY is a measure of ``proportional'' effect,
#i.e., the effect that a change in a given matrix element has as a proportional to the change in that element
 
 
meanxprojmat # for an overall look at sensitivity and elasticity use the mean projection matrix
# you could do separate analyses by year or type of year too to examine how sensitivity and elasticity
# vary among years
 
(eigout <- eigen.analysis(meanxprojmat)) # do the associated sensitivity analysis
 
colSums(eigout$sensitivities) # this gives the cumulative sensitivity of each stage/class, fun to graph
 
# calculate fertility and survival sums
(projsums <- colSums(meanxprojmat))
(fert_row <- meanxprojmat[1,])
(surv_row <- projsums-fert_row)
 
# can do this for sens and elas too to make a bar chart
# make x where columes are name, sens and elas
# for my data I'm summing elasticity and sensitivity for each class. You could also pick the vital
# rates that are most meaningful in your own analysis
 
(eigout <- eigen.analysis(meanxprojmat))
eigout$sensitivities
 
(fert_row_s <- eigout$sensitivities[1,])
(surv_row_s <-eigout$sensitivities[2,] + eigout$sensitivities[3,]
+eigout$sensitivities[4,] + eigout$sensitivities[5,] )
sensme<-t(cbind(fert_row_s, surv_row_s))
 
 
(fert_row_e <- eigout$elasticities[1,])
(surv_row_e <-eigout$elasticities[2,] + eigout$elasticities[3,]
+eigout$elasticities[4,] + eigout$elasticities[5,] )
(survtable<-t(rbind(surv_row_s, surv_row_e)))
(ferttable<-t(rbind(fert_row_s, fert_row_e)))
 
par(mfrow=c(2,2))
mynames <- c("Sensitivity", "Elasticity")
barplot(t(survtable[,1:2]), beside=TRUE, las=1, ylim=c(0, 3.5),xlab="Stage class",
main="Growth and survival")
abline(h=0)
barplot(t(ferttable[,1:2]), beside=TRUE, las=1, ylim=c(0, .25), xlab="Stage class",
main="Fertility")
abline(h=0)
legend("topright", mynames, fill=grey.colors(2))
 
 
 
 
#####################################################################################
#### APPENDIX A. HOW I GENERATED A FECUNDITY ESTIMATE
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# I'm including this for plant folks who might like to see how I made fecundity estimates from real data
# I also have developed a script to simulate juvenile numbers and transition rates for the years in my dataset
# that are missing these data, and bootstraps of the whole model.
 
 
# Load up the raw-ish data
 
andre <-read.csv ("D__composite9_13_2012.csv")
str(andre)
 
# BEST ESTIMATE OF SEED PRODUCTION: average of seeds/fruit, weighed average of fruits/infl where 0.14 is 1/8 drought years
andre$SEEDS<-andre$MEDIAN_INFL * 14.35 # = 14.35 seeds/infl
 
# The big crux Part 2: How many seeds makes a J plant the next year?
# ie what is the transition rate or fecundity rate?
 
# observed juveniles in each year (sadly not all years have the same # of cohorts, so I adjust for that below)
seedling_yr<-ddply (andre, c("YEAR"), function (df)
return(c(sdlgs=sum(df$CLASS == "J")))) # shows the OBSERVED # of J plants each year,
# and some of these are not observation years and are omitted below
seedling_yr
 
#seedlings for 9 cohorts based on census from each year
sdl94=seedling_yr$sdlgs[(seedling_yr$YEAR=="1994")]*9/2 # this year had only 2 cohorts
sdl95=seedling_yr$sdlgs[(seedling_yr$YEAR=="1995")]
sdl11=seedling_yr$sdlgs[(seedling_yr$YEAR=="2011")]
sdl12=0 # in 2012 observed seedlings were 0
 
seedling_pick=c(sdl94,sdl95,sdl11, sdl12)
seedling_pick
 
# estimate seedlings as the mean of the 4 OBSERVED years:
# in the other years seedlings where not surveyed for
(seedlings=mean(seedling_pick)) # = 125.375 seedlings/year on average
 
# what's the annual total seed production rate?
# add up all the seeds estimated to be produced in each year
seed_yr<-ddply (andre, c("YEAR"), function (df)
return(c(sumseeds=sum(df$SEEDS))))
seed_yr
 
# adjust so that 1994 has an estimate of all cohorts based on the observed 2 cohorts
seed_yr$sumseeds[(seedling_yr$YEAR=="1994")]<-(seed_yr$sumseeds[(seedling_yr$YEAR=="1994")]*9/2)
 
# get mean seeds/year
avg_seeds_p_yr<-mean(seed_yr$sumseeds)
 
# for each of the 4 years in which seedlings were observed, calculate an estimate of the transition rate from seed --> J
str(sdl.trans94<-sdl94/avg_seeds_p_yr)
str(sdl.trans95<-sdl95/avg_seeds_p_yr)
str(sdl.trans11<-sdl11/avg_seeds_p_yr)
sdl.trans12<-0 # no seedlings observed this year
 
# looks at the options for transition rate
str(seedlingtrans_pick<-c(sdl.trans94,sdl.trans95,sdl.trans11,sdl.trans12))
# pick the mean for this analysis
(seedlingtrans<-mean(seedlingtrans_pick)) # mean seedling transition rate 0.00305
 
### Now remove watered and caged plants from main dataset, these have different survival and transition rates.
# I included them thus far because we needed to get seed production estimates for them. Since they might have contributed
# to the observed juveniles
andre<-andre[(andre$CAGED =="N"),]
andre<-andre[(andre$WATERED =="N"),]
head2(andre)
 
# reduce datafile to include only PLANT_UNQ, YEAR, CLASS and SEEDS
str(andre)
str(andre<-andre[,c(1:3,16)])
 
# Go back to step 2.
karadat.csv
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1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222
"PLANT_UNQ","YEAR","CLASS","SEEDS"
"A_1",1994,"A1",71.75
"A_3",1994,"A1",0
"B_13",1994,"A1",71.75
"B_17",1994,"A1",0
"B_4",1994,"A1",71.75
"B_9",1994,"A1",71.75
"B_14",1994,"A2",258.3
"B_19",1994,"A2",258.3
"B_5",1994,"A2",258.3
"A_2",1994,"A3",258.3
"A_7",1994,"A3",258.3
"A_5",1994,"A4",258.3
"B_6",1994,"A4",2597.35
"A_4",1994,"J",0
"A_6",1994,"J",0
"B_1",1994,"J",0
"B_10",1994,"J",0
"B_11",1994,"J",0
"B_12",1994,"J",0
"B_15",1994,"J",0
"B_16",1994,"J",0
"B_18",1994,"J",0
"B_2",1994,"J",0
"B_3",1994,"J",0
"B_7",1994,"J",0
"B_8",1994,"J",0
"A_3",1995,"A1",258.3
"A_4",1995,"A1",71.75
"A_6",1995,"A1",258.3
"B_10",1995,"A1",71.75
"B_11",1995,"A1",0
"B_13",1995,"A1",0
"B_14",1995,"A1",71.75
"B_18",1995,"A1",258.3
"B_3",1995,"A1",258.3
"B_7",1995,"A1",258.3
"C_23",1995,"A1",71.75
"C_3",1995,"A1",71.75
"C_9",1995,"A1",0
"D_10",1995,"A1",0
"D_18",1995,"A1",258.3
"D_26",1995,"A1",0
"D_29",1995,"A1",71.75
"D_6",1995,"A1",0
"D_7",1995,"A1",71.75
"E_1",1995,"A1",71.75
"E_10",1995,"A1",0
"E_2",1995,"A1",0
"E_8",1995,"A1",0
"F_18",1995,"A1",0
"F_2",1995,"A1",71.75
"F_20",1995,"A1",71.75
"G_8",1995,"A1",258.3
"H_12",1995,"A1",0
"H_13",1995,"A1",71.75
"H_2",1995,"A1",0
"I_2",1995,"A1",71.75
"A_1",1995,"A2",258.3
"B_1",1995,"A2",258.3
"B_9",1995,"A2",71.75
"C_26",1995,"A2",258.3
"C_4",1995,"A2",258.3
"D_15",1995,"A2",71.75
"D_8",1995,"A2",258.3
"E_12",1995,"A2",545.3
"E_3",1995,"A2",545.3
"F_13",1995,"A2",258.3
"F_22",1995,"A2",545.3
"F_5",1995,"A2",258.3
"G_9",1995,"A2",545.3
"H_16",1995,"A2",545.3
"I_5",1995,"A2",258.3
"I_8",1995,"A2",545.3
"I_9",1995,"A2",258.3
"A_2",1995,"A3",545.3
"B_4",1995,"A3",545.3
"B_5",1995,"A3",545.3
"C_10",1995,"A3",545.3
"C_17",1995,"A3",545.3
"D_14",1995,"A3",545.3
"D_19",1995,"A3",2597.35
"D_24",1995,"A3",545.3
"D_28",1995,"A3",545.3
"F_11",1995,"A3",2597.35
"F_6",1995,"A3",2597.35
"H_4",1995,"A3",2597.35
"H_9",1995,"A3",258.3
"A_5",1995,"A4",2597.35
"A_7",1995,"A4",545.3
"B_19",1995,"A4",2597.35
"B_6",1995,"A4",545.3
"C_12",1995,"A4",2597.35
"C_18",1995,"A4",2597.35
"D_1",1995,"A4",545.3
"E_11",1995,"A4",2597.35
"E_9",1995,"A4",2597.35
"F_12",1995,"A4",2597.35
"H_3",1995,"A4",2597.35
"B_12",1995,"dead",0
"B_15",1995,"dead",0
"B_17",1995,"dead",0
"B_2",1995,"dead",0
"B_8",1995,"dead",0
"B_16",1995,"J",0
"C_1",1995,"J",0
"C_11",1995,"J",0
"C_13",1995,"J",0
"C_14",1995,"J",0
"C_15",1995,"J",0
"C_16",1995,"J",0
"C_19",1995,"J",0
"C_2",1995,"J",0
"C_20",1995,"J",0
"C_21",1995,"J",0
"C_22",1995,"J",0
"C_24",1995,"J",0
"C_25",1995,"J",0
"C_5",1995,"J",0
"C_6",1995,"J",0
"C_7",1995,"J",0
"C_8",1995,"J",0
"D_11",1995,"J",0
"D_12",1995,"J",0
"D_13",1995,"J",0
"D_16",1995,"J",0
"D_17",1995,"J",0
"D_2",1995,"J",0
"D_20",1995,"J",0
"D_21",1995,"J",0
"D_22",1995,"J",0
"D_23",1995,"J",0
"D_25",1995,"J",0
"D_27",1995,"J",0
"D_3",1995,"J",0
"D_4",1995,"J",0
"D_5",1995,"J",0
"D_9",1995,"J",0
"E_13",1995,"J",0
"E_14",1995,"J",0
"E_4",1995,"J",0
"E_5",1995,"J",0
"E_6",1995,"J",0
"E_7",1995,"J",0
"F_1",1995,"J",0
"F_10",1995,"J",0
"F_14",1995,"J",0
"F_15",1995,"J",0
"F_16",1995,"J",0
"F_17",1995,"J",0
"F_19",1995,"J",0
"F_21",1995,"J",0
"F_3",1995,"J",0
"F_4",1995,"J",0
"F_7",1995,"J",0
"F_8",1995,"J",0
"F_9",1995,"J",0
"G_1",1995,"J",0
"G_10",1995,"J",0
"G_11",1995,"J",0
"G_12",1995,"J",0
"G_2",1995,"J",0
"G_3",1995,"J",0
"G_4",1995,"J",0
"G_5",1995,"J",0
"G_6",1995,"J",0
"G_7",1995,"J",0
"H_1",1995,"J",0
"H_10",1995,"J",0
"H_11",1995,"J",0
"H_14",1995,"J",0
"H_15",1995,"J",0
"H_17",1995,"J",0
"H_18",1995,"J",0
"H_19",1995,"J",0
"H_20",1995,"J",0
"H_5",1995,"J",0
"H_6",1995,"J",0
"H_7",1995,"J",0
"H_8",1995,"J",0
"I_1",1995,"J",0
"I_3",1995,"J",0
"I_4",1995,"J",0
"I_6",1995,"J",0
"I_7",1995,"J",0
"A_3",1996,"A1",71.75
"A_4",1996,"A1",0
"B_1",1996,"A1",71.75
"B_10",1996,"A1",0
"B_13",1996,"A1",0
"B_18",1996,"A1",71.75
"B_4",1996,"A1",0
"B_7",1996,"A1",71.75
"C_15",1996,"A1",71.75
"C_16",1996,"A1",71.75
"C_22",1996,"A1",0
"C_25",1996,"A1",0
"C_26",1996,"A1",258.3
"C_4",1996,"A1",258.3
"C_8",1996,"A1",0
"C_9",1996,"A1",71.75
"D_10",1996,"A1",0
"D_11",1996,"A1",0
"D_15",1996,"A1",0
"D_16",1996,"A1",71.75
"D_26",1996,"A1",0
"D_27",1996,"A1",0
"D_29",1996,"A1",0
"D_4",1996,"A1",0
"D_6",1996,"A1",0
"E_1",1996,"A1",0
"E_10",1996,"A1",71.75
"E_2",1996,"A1",0
"E_3",1996,"A1",258.3
"E_5",1996,"A1",0
"E_8",1996,"A1",0
"F_13",1996,"A1",258.3
"F_15",1996,"A1",71.75
"F_18",1996,"A1",0
"F_2",1996,"A1",71.75
"F_20",1996,"A1",71.75
"F_4",1996,"A1",71.75
"F_5",1996,"A1",258.3
"F_9",1996,"A1",0
"G_1",1996,"A1",71.75
"G_11",1996,"A1",0
"G_8",1996,"A1",71.75
"H_12",1996,"A1",0
"H_13",1996,"A1",71.75
"H_2",1996,"A1",0
"H_8",1996,"A1",0
"I_2",1996,"A1",0
"I_4",1996,"A1",0
"I_5",1996,"A1",71.75
"A_7",1996,"A2",71.75
"B_14",1996,"A2",71.75
"B_9",1996,"A2",258.3
"C_23",1996,"A2",71.75
"D_18",1996,"A2",258.3
"D_24",1996,"A2",258.3
"D_7",1996,"A2",71.75
"D_8",1996,"A2",258.3
"E_12",1996,"A2",258.3
"F_11",1996,"A2",258.3
"F_22",1996,"A2",258.3
"G_9",1996,"A2",258.3
"H_16",1996,"A2",71.75
"I_8",1996,"A2",258.3
"I_9",1996,"A2",258.3
"A_2",1996,"A3",71.75
"B_19",1996,"A3",258.3
"B_5",1996,"A3",545.3
"B_6",1996,"A3",258.3
"C_10",1996,"A3",258.3
"C_17",1996,"A3",258.3
"D_1",1996,"A3",258.3
"D_14",1996,"A3",258.3
"D_19",1996,"A3",545.3
"D_28",1996,"A3",545.3
"E_11",1996,"A3",545.3
"F_6",1996,"A3",545.3
"H_4",1996,"A3",258.3
"H_9",1996,"A3",545.3
"A_5",1996,"A4",258.3
"C_12",1996,"A4",545.3
"C_18",1996,"A4",545.3
"E_9",1996,"A4",258.3
"F_12",1996,"A4",545.3
"H_3",1996,"A4",545.3
"A_1",1996,"dead",0
"A_6",1996,"dead",0
"B_11",1996,"dead",0
"B_16",1996,"dead",0
"B_3",1996,"dead",0
"C_11",1996,"dead",0
"C_13",1996,"dead",0
"C_14",1996,"dead",0
"C_2",1996,"dead",0
"C_21",1996,"dead",0
"C_24",1996,"dead",0
"C_3",1996,"dead",0
"C_6",1996,"dead",0
"C_7",1996,"dead",0
"D_12",1996,"dead",0
"D_13",1996,"dead",0
"D_17",1996,"dead",0
"D_2",1996,"dead",0
"D_20",1996,"dead",0
"D_21",1996,"dead",0
"D_22",1996,"dead",0
"D_23",1996,"dead",0
"D_25",1996,"dead",0
"D_5",1996,"dead",0
"D_9",1996,"dead",0
"E_13",1996,"dead",0
"E_4",1996,"dead",0
"E_6",1996,"dead",0
"F_10",1996,"dead",0
"F_14",1996,"dead",0
"F_16",1996,"dead",0
"F_17",1996,"dead",0
"F_21",1996,"dead",0
"F_3",1996,"dead",0
"F_7",1996,"dead",0
"G_10",1996,"dead",0
"G_2",1996,"dead",0
"G_3",1996,"dead",0
"G_5",1996,"dead",0
"G_6",1996,"dead",0
"G_7",1996,"dead",0
"H_10",1996,"dead",0
"H_14",1996,"dead",0
"H_15",1996,"dead",0
"H_18",1996,"dead",0
"H_20",1996,"dead",0
"H_5",1996,"dead",0
"H_6",1996,"dead",0
"I_1",1996,"dead",0
"I_3",1996,"dead",0
"I_6",1996,"dead",0
"I_7",1996,"dead",0
"C_1",1996,"J",0
"C_19",1996,"J",0
"C_20",1996,"J",0
"C_5",1996,"J",0
"D_3",1996,"J",0
"E_14",1996,"J",0
"E_7",1996,"J",0
"F_1",1996,"J",0
"F_19",1996,"J",0
"F_8",1996,"J",0
"G_12",1996,"J",0
"G_4",1996,"J",0
"H_1",1996,"J",0
"H_17",1996,"J",0
"H_19",1996,"J",0
"H_7",1996,"J",0
"B_1",1997,"A1",71.75
"B_10",1997,"A1",71.75
"C_16",1997,"A1",71.75
"C_22",1997,"A1",0
"C_23",1997,"A1",0
"C_26",1997,"A1",71.75
"C_5",1997,"A1",71.75
"D_10",1997,"A1",71.75
"D_16",1997,"A1",71.75
"D_26",1997,"A1",71.75
"D_4",1997,"A1",71.75
"D_6",1997,"A1",71.75
"E_10",1997,"A1",71.75
"E_12",1997,"A1",71.75
"E_2",1997,"A1",71.75
"E_5",1997,"A1",71.75
"E_7",1997,"A1",71.75
"E_8",1997,"A1",71.75
"F_1",1997,"A1",0
"F_11",1997,"A1",71.75
"F_13",1997,"A1",71.75
"F_15",1997,"A1",0
"F_20",1997,"A1",71.75
"F_5",1997,"A1",71.75
"F_9",1997,"A1",0
"G_1",1997,"A1",71.75
"G_11",1997,"A1",0
"G_12",1997,"A1",0
"G_9",1997,"A1",71.75
"H_11",1997,"A1",71.75
"H_13",1997,"A1",0
"H_16",1997,"A1",71.75
"H_19",1997,"A1",0
"H_2",1997,"A1",0
"H_8",1997,"A1",71.75
"I_5",1997,"A1",71.75
"A_3",1997,"A2",258.3
"B_14",1997,"A2",258.3
"B_7",1997,"A2",258.3
"B_9",1997,"A2",545.3
"C_17",1997,"A2",258.3
"C_4",1997,"A2",71.75
"C_8",1997,"A2",71.75
"C_9",1997,"A2",258.3
"D_14",1997,"A2",258.3
"D_18",1997,"A2",258.3
"D_19",1997,"A2",258.3
"D_24",1997,"A2",258.3
"D_8",1997,"A2",258.3
"E_3",1997,"A2",258.3
"F_22",1997,"A2",71.75
"H_4",1997,"A2",545.3
"H_9",1997,"A2",258.3
"I_8",1997,"A2",258.3
"I_9",1997,"A2",71.75
"A_2",1997,"A3",545.3
"B_19",1997,"A3",545.3
"B_5",1997,"A3",545.3
"D_1",1997,"A3",545.3
"D_28",1997,"A3",2597.35
"E_11",1997,"A3",258.3
"E_9",1997,"A3",545.3
"F_12",1997,"A3",258.3
"F_6",1997,"A3",545.3
"H_3",1997,"A3",258.3
"A_5",1997,"A4",545.3
"B_6",1997,"A4",545.3
"C_12",1997,"A4",545.3
"C_18",1997,"A4",545.3
"A_4",1997,"dead",0
"A_7",1997,"dead",0
"B_13",1997,"dead",0
"B_18",1997,"dead",0
"B_4",1997,"dead",0
"C_1",1997,"dead",0
"C_10",1997,"dead",0
"C_15",1997,"dead",0
"C_19",1997,"dead",0
"C_20",1997,"dead",0
"C_25",1997,"dead",0
"D_11",1997,"dead",0
"D_15",1997,"dead",0
"D_29",1997,"dead",0
"D_3",1997,"dead",0
"D_7",1997,"dead",0
"E_1",1997,"dead",0
"E_14",1997,"dead",0
"F_18",1997,"dead",0
"F_19",1997,"dead",0
"F_2",1997,"dead",0
"F_8",1997,"dead",0
"G_4",1997,"dead",0
"G_8",1997,"dead",0
"H_1",1997,"dead",0
"H_12",1997,"dead",0
"H_17",1997,"dead",0
"H_7",1997,"dead",0
"I_2",1997,"dead",0
"I_4",1997,"dead",0
"D_27",1997,"J",0
"F_4",1997,"J",0
"D_10",1998,"A1",258.3
"E_12",1998,"A1",0
"E_5",1998,"A1",258.3
"F_1",1998,"A1",258.3
"F_13",1998,"A1",258.3
"F_15",1998,"A1",71.75
"G_11",1998,"A1",71.75
"G_12",1998,"A1",71.75
"H_11",1998,"A1",71.75
"H_19",1998,"A1",258.3
"B_10",1998,"A2",258.3
"B_14",1998,"A2",258.3
"C_22",1998,"A2",258.3
"C_26",1998,"A2",71.75
"C_5",1998,"A2",258.3
"C_9",1998,"A2",258.3
"D_16",1998,"A2",258.3
"D_19",1998,"A2",258.3
"D_24",1998,"A2",258.3
"D_26",1998,"A2",258.3
"D_6",1998,"A2",258.3
"E_10",1998,"A2",545.3
"E_2",1998,"A2",258.3
"E_8",1998,"A2",258.3
"F_20",1998,"A2",258.3
"F_5",1998,"A2",258.3
"G_1",1998,"A2",258.3
"G_9",1998,"A2",545.3
"H_16",1998,"A2",545.3
"H_8",1998,"A2",258.3
"I_5",1998,"A2",258.3
"I_9",1998,"A2",71.75
"B_1",1998,"A3",545.3
"B_7",1998,"A3",545.3
"C_16",1998,"A3",258.3
"C_23",1998,"A3",258.3
"D_18",1998,"A3",545.3
"D_4",1998,"A3",258.3
"D_8",1998,"A3",2597.35
"E_3",1998,"A3",545.3
"F_12",1998,"A3",545.3
"F_22",1998,"A3",545.3
"H_4",1998,"A3",545.3
"H_9",1998,"A3",2597.35
"I_8",1998,"A3",545.3
"A_2",1998,"A4",2597.35
"A_3",1998,"A4",545.3
"A_5",1998,"A4",2597.35
"B_19",1998,"A4",545.3
"B_5",1998,"A4",2597.35
"B_6",1998,"A4",2597.35
"B_9",1998,"A4",2597.35
"C_12",1998,"A4",2597.35
"C_18",1998,"A4",545.3
"C_4",1998,"A4",545.3
"D_1",1998,"A4",2597.35
"D_14",1998,"A4",2597.35
"D_28",1998,"A4",2597.35
"E_11",1998,"A4",545.3
"E_9",1998,"A4",2597.35
"F_6",1998,"A4",2597.35
"H_3",1998,"A4",2597.35
"C_17",1998,"dead",0
"C_8",1998,"dead",0
"D_27",1998,"dead",0
"E_7",1998,"dead",0
"F_11",1998,"dead",0
"F_4",1998,"dead",0
"F_9",1998,"dead",0
"H_13",1998,"dead",0
"H_2",1998,"dead",0
"C_22",1999,"A1",71.75
"D_10",1999,"A1",0
"G_1",1999,"A1",258.3
"G_11",1999,"A1",0
"G_12",1999,"A1",258.3
"H_11",1999,"A1",258.3
"H_3",1999,"A1",0
"I_9",1999,"A1",0
"A_3",1999,"A2",258.3
"B_19",1999,"A2",71.75
"C_9",1999,"A2",71.75
"D_26",1999,"A2",258.3
"E_10",1999,"A2",545.3
"E_2",1999,"A2",258.3
"E_5",1999,"A2",258.3
"E_8",1999,"A2",258.3
"F_1",1999,"A2",545.3
"F_13",1999,"A2",258.3
"F_15",1999,"A2",258.3
"F_20",1999,"A2",545.3
"F_5",1999,"A2",258.3
"H_16",1999,"A2",258.3
"H_19",1999,"A2",71.75
"H_8",1999,"A2",258.3
"A_2",1999,"A3",545.3
"B_10",1999,"A3",545.3
"B_14",1999,"A3",258.3
"B_7",1999,"A3",71.75
"C_16",1999,"A3",545.3
"C_18",1999,"A3",258.3
"C_23",1999,"A3",545.3
"C_26",1999,"A3",258.3
"C_5",1999,"A3",545.3
"D_16",1999,"A3",545.3
"D_18",1999,"A3",258.3
"D_24",1999,"A3",545.3
"D_4",1999,"A3",545.3
"D_6",1999,"A3",545.3
"E_11",1999,"A3",258.3
"E_3",1999,"A3",545.3
"E_9",1999,"A3",545.3
"F_22",1999,"A3",2597.35
"F_6",1999,"A3",2597.35
"G_9",1999,"A3",545.3
"H_4",1999,"A3",2597.35
"H_9",1999,"A3",545.3
"I_5",1999,"A3",545.3
"I_8",1999,"A3",2597.35
"A_5",1999,"A4",2597.35
"B_5",1999,"A4",545.3
"B_6",1999,"A4",545.3
"B_9",1999,"A4",2597.35
"C_12",1999,"A4",545.3
"C_4",1999,"A4",2597.35
"D_1",1999,"A4",545.3
"D_14",1999,"A4",2597.35
"D_28",1999,"A4",2597.35
"D_8",1999,"A4",2597.35
"F_12",1999,"A4",2597.35
"B_1",1999,"dead",0
"D_19",1999,"dead",0
"E_12",1999,"dead",0
"C_12",2000,"A1",71.75
"E_8",2000,"A1",71.75
"F_13",2000,"A1",71.75
"G_12",2000,"A1",0
"H_11",2000,"A1",258.3
"H_19",2000,"A1",0
"B_14",2000,"A2",545.3
"B_5",2000,"A2",258.3
"B_6",2000,"A2",258.3
"B_7",2000,"A2",0
"C_18",2000,"A2",258.3
"C_23",2000,"A2",71.75
"D_18",2000,"A2",258.3
"D_26",2000,"A2",258.3
"E_11",2000,"A2",545.3
"F_1",2000,"A2",258.3
"F_20",2000,"A2",258.3
"F_22",2000,"A2",71.75
"F_5",2000,"A2",71.75
"G_9",2000,"A2",258.3
"H_16",2000,"A2",258.3
"H_8",2000,"A2",545.3
"H_9",2000,"A2",258.3
"B_10",2000,"A3",258.3
"B_9",2000,"A3",258.3
"C_16",2000,"A3",258.3
"C_5",2000,"A3",258.3
"D_1",2000,"A3",258.3
"D_14",2000,"A3",258.3
"D_16",2000,"A3",258.3
"D_24",2000,"A3",258.3
"D_4",2000,"A3",258.3
"D_8",2000,"A3",258.3
"E_2",2000,"A3",258.3
"E_3",2000,"A3",545.3
"E_9",2000,"A3",545.3
"F_6",2000,"A3",545.3
"H_4",2000,"A3",545.3
"I_5",2000,"A3",258.3
"I_8",2000,"A3",2597.35
"A_2",2000,"A4",545.3
"A_5",2000,"A4",545.3
"C_26",2000,"A4",545.3
"C_4",2000,"A4",258.3
"D_28",2000,"A4",545.3
"D_6",2000,"A4",545.3
"E_10",2000,"A4",2597.35
"F_12",2000,"A4",545.3
"A_3",2000,"dead",0
"B_19",2000,"dead",0
"C_22",2000,"dead",0
"C_9",2000,"dead",0
"D_10",2000,"dead",0
"E_5",2000,"dead",0
"F_15",2000,"dead",0
"G_1",2000,"dead",0
"G_11",2000,"dead",0
"H_3",2000,"dead",0
"I_9",2000,"dead",0
"D_16",2001,"A1",258.3
"B_9",2001,"A2",71.75
"C_18",2001,"A2",71.75
"D_18",2001,"A2",258.3
"D_24",2001,"A2",258.3
"D_8",2001,"A2",71.75
"E_11",2001,"A2",258.3
"F_1",2001,"A2",545.3
"F_13",2001,"A2",258.3
"F_22",2001,"A2",258.3
"H_11",2001,"A2",258.3
"I_5",2001,"A2",258.3
"B_14",2001,"A3",545.3
"B_6",2001,"A3",545.3
"C_16",2001,"A3",545.3
"D_1",2001,"A3",545.3
"D_14",2001,"A3",545.3
"D_26",2001,"A3",545.3
"E_2",2001,"A3",545.3
"F_20",2001,"A3",545.3
"F_5",2001,"A3",258.3
"F_6",2001,"A3",545.3
"G_9",2001,"A3",545.3
"H_16",2001,"A3",545.3
"H_4",2001,"A3",2597.35
"H_8",2001,"A3",2597.35
"H_9",2001,"A3",545.3
"I_8",2001,"A3",545.3
"A_2",2001,"A4",2597.35
"A_5",2001,"A4",2597.35
"B_10",2001,"A4",2597.35
"C_23",2001,"A4",545.3
"C_26",2001,"A4",2597.35
"C_4",2001,"A4",545.3
"C_5",2001,"A4",545.3
"D_28",2001,"A4",2597.35
"D_4",2001,"A4",2597.35
"D_6",2001,"A4",2597.35
"E_10",2001,"A4",2597.35
"E_3",2001,"A4",2597.35
"E_9",2001,"A4",2597.35
"F_12",2001,"A4",2597.35
"B_5",2001,"dead",0
"B_7",2001,"dead",0
"C_12",2001,"dead",0
"E_8",2001,"dead",0
"G_12",2001,"dead",0
"H_19",2001,"dead",0
"B_14",2002,"A1",71.75
"C_16",2002,"A1",0
"C_5",2002,"A1",0
"D_1",2002,"A1",0
"D_24",2002,"A1",0
"E_2",2002,"A1",0
"F_13",2002,"A1",0
"F_20",2002,"A1",71.75
"F_5",2002,"A1",0
"G_9",2002,"A1",0
"H_11",2002,"A1",0
"H_9",2002,"A1",0
"I_8",2002,"A1",0
"A_5",2002,"A2",0
"C_23",2002,"A2",71.75
"C_4",2002,"A2",71.75
"D_14",2002,"A2",71.75
"D_26",2002,"A2",0
"D_4",2002,"A2",258.3
"E_10",2002,"A2",71.75
"E_9",2002,"A2",0
"F_1",2002,"A2",0
"F_12",2002,"A2",258.3
"F_6",2002,"A2",71.75
"H_16",2002,"A2",71.75
"H_4",2002,"A2",71.75
"H_8",2002,"A2",258.3
"A_2",2002,"A3",71.75
"B_10",2002,"A3",71.75
"C_26",2002,"A3",258.3
"D_28",2002,"A3",258.3
"D_6",2002,"A3",258.3
"E_3",2002,"A3",258.3
"B_6",2002,"dead",0
"B_9",2002,"dead",0
"C_18",2002,"dead",0
"D_16",2002,"dead",0
"D_18",2002,"dead",0
"D_8",2002,"dead",0
"E_11",2002,"dead",0
"F_22",2002,"dead",0
"I_5",2002,"dead",0
"A_2",2003,"A1",71.75
"D_26",2003,"A1",71.75
"F_12",2003,"A1",71.75
"I_8",2003,"A1",71.75
"B_10",2003,"A2",258.3
"B_14",2003,"A2",258.3
"C_23",2003,"A2",258.3
"D_4",2003,"A2",71.75
"E_9",2003,"A2",71.75
"F_6",2003,"A2",71.75
"H_16",2003,"A2",258.3
"H_8",2003,"A2",258.3
"C_26",2003,"A3",258.3
"C_4",2003,"A3",258.3
"D_28",2003,"A3",545.3
"D_6",2003,"A3",545.3
"E_10",2003,"A3",258.3
"E_3",2003,"A3",2597.35
"A_5",2003,"dead",0
"C_16",2003,"dead",0
"C_5",2003,"dead",0
"D_1",2003,"dead",0
"D_14",2003,"dead",0
"D_24",2003,"dead",0
"E_2",2003,"dead",0
"F_1",2003,"dead",0
"F_13",2003,"dead",0
"F_20",2003,"dead",0
"F_5",2003,"dead",0
"G_9",2003,"dead",0
"H_11",2003,"dead",0
"H_9",2003,"dead",0
"H_4",2003,"J",0
"A_2",2004,"dead",0
"B_10",2004,"dead",0
"B_14",2004,"dead",0
"C_23",2004,"dead",0
"C_26",2004,"dead",0
"C_4",2004,"dead",0
"D_26",2004,"dead",0
"D_28",2004,"dead",0
"D_4",2004,"dead",0
"D_6",2004,"dead",0
"E_10",2004,"dead",0
"E_3",2004,"dead",0
"E_9",2004,"dead",0
"F_12",2004,"dead",0
"F_6",2004,"dead",0
"H_16",2004,"dead",0
"H_4",2004,"dead",0
"H_8",2004,"dead",0
"I_8",2004,"dead",0
"1_709",2011,"A1",71.75
"1_705",2011,"A1",71.75
"5_762",2011,"A1",258.3
"1_708",2011,"A1",258.3
"3_753",2011,"A1",258.3
"9_305",2011,"A1",258.3
"3_755",2011,"A1",258.3
"7_773",2011,"A1",258.3
"7_780",2011,"A1",258.3
"4_727",2011,"A1",258.3
"7_783",2011,"A1",545.3
"4_728",2011,"A1",545.3
"7_784",2011,"A1",545.3
"4_726",2011,"A1",545.3
"9_312",2011,"A1",545.3
"9_311",2011,"A1",545.3
"1_716",2011,"A1",2597.35
"9_313",2011,"A1",71.75
"2_720",2011,"A1",71.75
"2_722",2011,"A1",71.75
"3_751",2011,"A1",71.75
"3_756",2011,"A1",71.75
"5_758",2011,"A2",71.75
"7_782",2011,"A2",71.75
"6_766",2011,"A2",258.3
"6_767",2011,"A2",545.3
"7_793",2011,"A2",545.3
"7_785",2011,"A2",545.3
"8_732",2011,"A2",545.3
"7_774",2011,"A2",545.3
"8_738",2011,"A2",545.3
"9_306",2011,"A2",545.3
"6_772",2011,"A2",2597.35
"8_733",2011,"A2",2597.35
"1_710",2011,"A2",2597.35
"1_703",2011,"A2",2597.35
"1_704",2011,"A2",2597.35
"7_781",2011,"A2",2597.35
"7_787",2011,"A2",2597.35
"9_309",2011,"A2",2597.35
"7_786",2011,"A2",2597.35
"8_736",2011,"A2",2597.35
"4_729",2011,"A2",258.3
"2_749",2011,"A2",258.3
"3_752",2011,"A2",258.3
"7_779",2011,"A3",2597.35
"5_759",2011,"A3",2597.35
"6_771",2011,"A3",2597.35
"6_765",2011,"A3",2597.35
"9_315",2011,"A3",2597.35
"7_789",2011,"A3",2597.35
"8_744",2011,"A3",2597.35
"9_319",2011,"A3",2597.35
"1_712",2011,"A3",2597.35
"8_743",2011,"A3",2597.35
"8_731",2011,"A3",2597.35
"8_735",2011,"A3",2597.35
"6_769",2011,"A4",2597.35
"6_768",2011,"A4",2597.35
"5_763",2011,"A4",2597.35
"5_761",2011,"A4",2597.35
"7_792",2011,"A4",2597.35
"8_734",2011,"A4",2597.35
"2_1",2011,"J",0
"2_61",2011,"J",0
"2_64",2011,"J",0
"2_73",2011,"J",0
"2_74",2011,"J",0
"2_81",2011,"J",0
"2_93",2011,"J",0
"2_96",2011,"J",0
"2_97",2011,"J",0
"2_98",2011,"J",0
"8_737",2011,"J",0
"8_740",2011,"J",0
"8_741",2011,"J",0
"8_746",2011,"J",0
"2_749A",2011,"J",0
"2_750D",2011,"J",0
"2_750E",2011,"J",0
"2_750F",2011,"J",0
"2_750G",2011,"J",0
"2_750H",2011,"J",0
"2_750I",2011,"J",0
"2_750J",2011,"J",0
"2_751A",2011,"J",0
"2_752A",2011,"J",0
"2_752B",2011,"J",0
"2_752C",2011,"J",0
"2_752D",2011,"J",0
"5_761A",2011,"J",0
"6_772A",2011,"J",0
"2_s155",2011,"J",0
"2_s156",2011,"J",0
"5_s156",2011,"J",0
"2_s157",2011,"J",0
"2_s158",2011,"J",0
"2_s159",2011,"J",0
"5_s159",2011,"J",0
"2_s160",2011,"J",0
"2_s161",2011,"J",0
"2_s162",2011,"J",0
"2_s163",2011,"J",0
"2_s164",2011,"J",0
"2_s165",2011,"J",0
"2_s166",2011,"J",0
"2_s167",2011,"J",0
"2_s168",2011,"J",0
"2_s169",2011,"J",0
"2_s170",2011,"J",0
"2_s171",2011,"J",0
"6_s171",2011,"J",0
"2_s172",2011,"J",0
"6_s172",2011,"J",0
"2_s173",2011,"J",0
"6_s173",2011,"J",0
"2_s174",2011,"J",0
"5_s174",2011,"J",0
"2_s175",2011,"J",0
"5_s175",2011,"J",0
"2_s176",2011,"J",0
"5_s176",2011,"J",0
"2_s177",2011,"J",0
"2_s178",2011,"J",0
"2_s179",2011,"J",0
"2_s180",2011,"J",0
"2_s181",2011,"J",0
"2_s182",2011,"J",0
"2_s183",2011,"J",0
"2_s184",2011,"J",0
"2_s185",2011,"J",0
"2_s186",2011,"J",0
"2_s187",2011,"J",0
"2_s188",2011,"J",0
"2_s189",2011,"J",0
"2_s190",2011,"J",0
"2_s191",2011,"J",0
"2_s192",2011,"J",0
"2_s193",2011,"J",0
"2_s194",2011,"J",0
"2_s195",2011,"J",0
"2_s196",2011,"J",0
"2_s197",2011,"J",0
"2_s198",2011,"J",0
"2_s199",2011,"J",0
"2_s200",2011,"J",0
"2_s201",2011,"J",0
"2_s202",2011,"J",0
"2_s203",2011,"J",0
"2_s204",2011,"J",0
"2_s205",2011,"J",0
"2_s206",2011,"J",0
"2_s207",2011,"J",0
"2_s208",2011,"J",0
"2_s209",2011,"J",0
"2_s210",2011,"J",0
"2_s211",2011,"J",0
"2_s212",2011,"J",0
"2_s213",2011,"J",0
"2_s214",2011,"J",0
"2_s215",2011,"J",0
"2_s216",2011,"J",0
"2_s217",2011,"J",0
"2_s218",2011,"J",0
"2_s219",2011,"J",0
"2_s220",2011,"J",0
"2_s221",2011,"J",0
"2_s222",2011,"J",0
"2_s223",2011,"J",0
"2_s224",2011,"J",0
"2_s225",2011,"J",0
"2_s226",2011,"J",0
"2_s227",2011,"J",0
"2_s228",2011,"J",0
"2_s229",2011,"J",0
"2_s230",2011,"J",0
"2_s231",2011,"J",0
"2_s232",2011,"J",0
"2_s233",2011,"J",0
"2_s234",2011,"J",0
"2_s235",2011,"J",0
"2_s236",2011,"J",0
"2_s237",2011,"J",0
"2_s238",2011,"J",0
"2_s239",2011,"J",0
"2_s240",2011,"J",0
"2_s241",2011,"J",0
"2_s242",2011,"J",0
"2_s243",2011,"J",0
"2_s244",2011,"J",0
"2_s245",2011,"J",0
"2_s246",2011,"J",0
"2_s247",2011,"J",0
"2_s248",2011,"J",0
"2_s249",2011,"J",0
"2_s250",2011,"J",0
"2_s251",2011,"J",0
"2_s252",2011,"J",0
"2_s253",2011,"J",0
"2_s254",2011,"J",0
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