Citation:

BF01300061

Name: Pollen analysis of sediment core GKSA, Großer Krebssee, Germany
Creator: Susanne Jahns
Published: 2000
License: https://creativecommons.org/licenses/by/3.0/

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Project(s):

Changes in the Geo-Biosphere during the last 15000 years (GeoBio15k)

Coverage:

Latitude: 52.846590 * Longitude: 14.099320

Date/Time Start: 1997-10-17T00:00:00 * Date/Time End: 1997-10-17T00:00:00

Minimum DEPTH, sediment/rock: 4.50 m * Maximum DEPTH, sediment/rock: 12.09 m

Event(s):

GKSA (Großer Krebssee) * Latitude: 52.846590 * Longitude: 14.099320 * Date/Time: 1997-10-17T00:00:00 * Elevation: 5.0 m * Lake water depth: 7 m * Recovery: 9.7 m * Location: Germany * Campaign: * Basis: Sampling/drilling in lake * Method/Device: Usinger Piston Corer (UPC)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	DEPTH, sediment/rock	Depth sed	m			Geocode
2	Abies	Abi	#	Jahns, Susanne	Counting, palynology
3	Acer	Ace	#	Jahns, Susanne	Counting, palynology
4	Alisma	Ali	#	Jahns, Susanne	Counting, palynology
5	Alnus	Aln	#	Jahns, Susanne	Counting, palynology
6	Anemone-type	Ane-T	#	Jahns, Susanne	Counting, palynology
7	Apiaceae	Apiae	#	Jahns, Susanne	Counting, palynology
8	Artemisia	Art	#	Jahns, Susanne	Counting, palynology
9	Compositae Liguliflorae	AsteLigu	#	Jahns, Susanne	Counting, palynology
10	Compositae Tubuliflorae	AsteTubu	#	Jahns, Susanne	Counting, palynology
11	Avena-type	Ave-T	#	Jahns, Susanne	Counting, palynology
12	Betula	Bet	#	Jahns, Susanne	Counting, palynology
13	Betula nana	Bet.n	#	Jahns, Susanne	Counting, palynology
14	Brassicaceae	Braae	#	Jahns, Susanne	Counting, palynology
15	Butomus	But	#	Jahns, Susanne	Counting, palynology
16	Calluna	Cal	#	Jahns, Susanne	Counting, palynology
17	Caltha-type	Clh-T	#	Jahns, Susanne	Counting, palynology
18	Campanula-type	Cam-T	#	Jahns, Susanne	Counting, palynology
19	Humulus and Cannabis	Hum+Can	#	Jahns, Susanne	Counting, palynology
20	Carpinus	Car	#	Jahns, Susanne	Counting, palynology
21	Caryophyllaceae indeterminata	Cphae.indet	#	Jahns, Susanne	Counting, palynology
22	Centaurea jacea-type	Cen.j-T	#	Jahns, Susanne	Counting, palynology
23	Centaurea scabiosa	Cen.s	#	Jahns, Susanne	Counting, palynology
24	Cerealia-type	Crl-T	#	Jahns, Susanne	Counting, palynology
25	Chenopodiaceae	Cheae	#	Jahns, Susanne	Counting, palynology
26	Convolvulus arvensis	Con.a	#	Jahns, Susanne	Counting, palynology
27	Corylus	Cor	#	Jahns, Susanne	Counting, palynology
28	Cyperaceae	Cypae	#	Jahns, Susanne	Counting, palynology
29	Delphinium-type	Del-T	#	Jahns, Susanne	Counting, palynology
30	Digitalis-type	Dig-T	#	Jahns, Susanne	Counting, palynology
31	Dipsacus	Dps	#	Jahns, Susanne	Counting, palynology
32	Empetrum	Emp	#	Jahns, Susanne	Counting, palynology
33	Ephedra	Eph	#	Jahns, Susanne	Counting, palynology
34	Epilobium	Epl	#	Jahns, Susanne	Counting, palynology
35	Euphorbiaceae indeterminata	Eupae.indet	#	Jahns, Susanne	Counting, palynology
36	Fabaceae indeterminata	Fabae.indet	#	Jahns, Susanne	Counting, palynology
37	Fagus	Fag	#	Jahns, Susanne	Counting, palynology
38	Fallopia convolvulvus	Fal.con	#	Jahns, Susanne	Counting, palynology
39	Filipendula	Flp	#	Jahns, Susanne	Counting, palynology
40	Frangula alnus	Frg.a	#	Jahns, Susanne	Counting, palynology
41	Fraxinus	Frx	#	Jahns, Susanne	Counting, palynology
42	Gentiana pneumonanthe	Gen.p	#	Jahns, Susanne	Counting, palynology
43	Geranium	Ger	#	Jahns, Susanne	Counting, palynology
44	Gypsophila	Gyp	#	Jahns, Susanne	Counting, palynology
45	Hedera	Hed	#	Jahns, Susanne	Counting, palynology
46	Helianthemum	Hel	#	Jahns, Susanne	Counting, palynology
47	Hippophae	Hpp	#	Jahns, Susanne	Counting, palynology
48	Hordeum-type	Hor-T	#	Jahns, Susanne	Counting, palynology
49	Hydrocharis	Hyd	#	Jahns, Susanne	Counting, palynology
50	Hypericum elodes	Hyp.e	#	Jahns, Susanne	Counting, palynology
51	Ilex	Ile	#	Jahns, Susanne	Counting, palynology
52	Jasione	Jas	#	Jahns, Susanne	Counting, palynology
53	Juniperus	Jun	#	Jahns, Susanne	Counting, palynology
54	Lamiaceae	Lamae	#	Jahns, Susanne	Counting, palynology
55	Liliaceae	Lilae	#	Jahns, Susanne	Counting, palynology
56	Lonicera	Lon	#	Jahns, Susanne	Counting, palynology
57	Malvaceae	Malvae	#	Jahns, Susanne	Counting, palynology
58	Menyanthes	Mey	#	Jahns, Susanne	Counting, palynology
59	Mercurialis	Mer	#	Jahns, Susanne	Counting, palynology
60	Montia fontana	Mon.f	#	Jahns, Susanne	Counting, palynology
61	Myriophyllum spicatum	Myo.s	#	Jahns, Susanne	Counting, palynology
62	Myriophyllum verticillatum	Myo.v	#	Jahns, Susanne	Counting, palynology
63	Nigella	Nig	#	Jahns, Susanne	Counting, palynology
64	Nuphar	Nup	#	Jahns, Susanne	Counting, palynology
65	Nymphaea	Nym	#	Jahns, Susanne	Counting, palynology
66	Papaveraceae	Papae	#	Jahns, Susanne	Counting, palynology
67	Papaver rhoeas-type	Pap.h-T	#	Jahns, Susanne	Counting, palynology
68	Picea	Pic	#	Jahns, Susanne	Counting, palynology
69	Pinus	Pin	#	Jahns, Susanne	Counting, palynology
70	Plantago lanceolata	Pla.l	#	Jahns, Susanne	Counting, palynology
71	Plantago major/media	Pla.m/m	#	Jahns, Susanne	Counting, palynology
72	Poaceae	Poac	#	Jahns, Susanne	Counting, palynology
73	Polygonum amphibium	Pol.m	#	Jahns, Susanne	Counting, palynology
74	Polygonum aviculare	Pol.i	#	Jahns, Susanne	Counting, palynology
75	Polygonum bistorta	Pol.b	#	Jahns, Susanne	Counting, palynology
76	Polygonum persicaria	Pol.p	#	Jahns, Susanne	Counting, palynology
77	Populus	Pop	#	Jahns, Susanne	Counting, palynology
78	Potamogeton	Pot	#	Jahns, Susanne	Counting, palynology
79	Potentilla-type	Pti-T	#	Jahns, Susanne	Counting, palynology
80	Primulaceae	Priae	#	Jahns, Susanne	Counting, palynology
81	Quercus	Que	#	Jahns, Susanne	Counting, palynology
82	Ranunculaceae indeterminata	Ranae.indet	#	Jahns, Susanne	Counting, palynology
83	Ranunculus acris-type	Ran.a-T	#	Jahns, Susanne	Counting, palynology
84	Rosaceae indeterminata	Rosae.indet	#	Jahns, Susanne	Counting, palynology
85	Scabiosa	Sca	#	Jahns, Susanne	Counting, palynology
86	Scleranthus	Scl	#	Jahns, Susanne	Counting, palynology
87	Scrophulariaceae	Scoae	#	Jahns, Susanne	Counting, palynology
88	Secale	Sec	#	Jahns, Susanne	Counting, palynology
89	Selaginella selaginoides	Sel.s	#	Jahns, Susanne	Counting, palynology
90	Solanum	Sol	#	Jahns, Susanne	Counting, palynology
91	Sorbus-type	Sor-T	#	Jahns, Susanne	Counting, palynology
92	Typha angustifolia/Sparganium	Typ.a/Sp	#	Jahns, Susanne	Counting, palynology
93	Taxus	Tax	#	Jahns, Susanne	Counting, palynology
94	Thalictrum	Tha	#	Jahns, Susanne	Counting, palynology
95	Tilia cordata	Til.c	#	Jahns, Susanne	Counting, palynology
96	Tilia platyphyllos	Til.p	#	Jahns, Susanne	Counting, palynology
97	Trifolium-type	Tri-T	#	Jahns, Susanne	Counting, palynology
98	Triticum-type	Trt-T	#	Jahns, Susanne	Counting, palynology
99	Typha latifolia	Typ.l	#	Jahns, Susanne	Counting, palynology
100	Ulmus	Ulm	#	Jahns, Susanne	Counting, palynology
101	Urtica	Urt	#	Jahns, Susanne	Counting, palynology
102	Utricularia	Utr	#	Jahns, Susanne	Counting, palynology
103	Vaccinium	Vac	#	Jahns, Susanne	Counting, palynology
104	Valeriana	Val	#	Jahns, Susanne	Counting, palynology
105	Vicia-type	Vic-T	#	Jahns, Susanne	Counting, palynology
106	Viscum	Vis	#	Jahns, Susanne	Counting, palynology
107	Indeterminata/varia	Indet	#	Jahns, Susanne	Counting, palynology
108	Filicinae	Filiciae	#	Jahns, Susanne	Counting, palynology
109	Pteridium	Ptd	#	Jahns, Susanne	Counting, palynology
110	Pediastrum boryanum	Ped.b	#	Jahns, Susanne	Counting, palynology
111	Pediastrum duplex	Pdi.d	#	Jahns, Susanne	Counting, palynology
112	Pediastrum integrum	Pdi.i	#	Jahns, Susanne	Counting, palynology
113	Pediastrum kawraiskyi	Ped.k	#	Jahns, Susanne	Counting, palynology
114	Marker, added	Mark add	#	Jahns, Susanne	Counting, palynology
115	Marker, found	Mark found	#	Jahns, Susanne	Counting, palynology
116	Volume	Vol	ml	Jahns, Susanne

License:

Creative Commons Attribution 3.0 Unported (CC-BY-3.0)

Size:

18400 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 Depth sed [m]	2 Abi [#]	3 Ace [#]	4 Ali [#]	5 Aln [#]	6 Ane-T [#]	7 Apiae [#]	8 Art [#]	9 AsteLigu [#]	10 AsteTubu [#]	11 Ave-T [#]	12 Bet [#]	13 Bet.n [#]	14 Braae [#]	15 But [#]	16 Cal [#]	17 Clh-T [#]	18 Cam-T [#]	19 Hum+Can [#]	20 Car [#]	21 Cphae.indet [#]	22 Cen.j-T [#]	23 Cen.s [#]	24 Crl-T [#]	25 Cheae [#]	26 Con.a [#]	27 Cor [#]	28 Cypae [#]	29 Del-T [#]	30 Dig-T [#]	31 Dps [#]	32 Emp [#]	33 Eph [#]	34 Epl [#]	35 Eupae.indet [#]	36 Fabae.indet [#]	37 Fag [#]	38 Fal.con [#]	39 Flp [#]	40 Frg.a [#]	41 Frx [#]	42 Gen.p [#]	43 Ger [#]	44 Gyp [#]	45 Hed [#]	46 Hel [#]	47 Hpp [#]	48 Hor-T [#]	49 Hyd [#]	50 Hyp.e [#]	51 Ile [#]	52 Jas [#]	53 Jun [#]	54 Lamae [#]	55 Lilae [#]	56 Lon [#]	57 Malvae [#]	58 Mey [#]	59 Mer [#]	60 Mon.f [#]	61 Myo.s [#]	62 Myo.v [#]	63 Nig [#]	64 Nup [#]	65 Nym [#]	66 Papae [#]	67 Pap.h-T [#]	68 Pic [#]	69 Pin [#]	70 Pla.l [#]	71 Pla.m/m [#]	72 Poac [#]	73 Pol.m [#]	74 Pol.i [#]	75 Pol.b [#]	76 Pol.p [#]	77 Pop [#]	78 Pot [#]	79 Pti-T [#]	80 Priae [#]	81 Que [#]	82 Ranae.indet [#]	83 Ran.a-T [#]	84 Rosae.indet [#]	85 Sca [#]	86 Scl [#]	87 Scoae [#]	88 Sec [#]	89 Sel.s [#]	90 Sol [#]	91 Sor-T [#]	92 Typ.a/Sp [#]	93 Tax [#]	94 Tha [#]	95 Til.c [#]	96 Til.p [#]	97 Tri-T [#]	98 Trt-T [#]	99 Typ.l [#]	100 Ulm [#]	101 Urt [#]	102 Utr [#]	103 Vac [#]	104 Val [#]	105 Vic-T [#]	106 Vis [#]	107 Indet [#]	108 Filiciae [#]	109 Ptd [#]	110 Ped.b [#]	111 Pdi.d [#]	112 Pdi.i [#]	113 Ped.k [#]	114 Mark add [#]	115 Mark found [#]	116 Vol [ml]
4.50	0	0	0	144	0	0	1	0	0	1	162	0	0	0	4	0	0	0	18	0	0	0	0	0	0	55	0	0	0	0	0	0	0	0	0	7	0	0	0	1	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	1	90	1	0	29	0	0	0	0	0	0	0	0	93	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	2	15	0	0	0	0	0	0	0	0	1	67	12	2	0	38	50168	2.0
4.58	0	1	0	100	0	0	0	0	0	0	42	0	2	0	5	0	0	0	9	0	0	0	0	0	0	53	2	0	0	0	0	0	0	0	0	11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	97	1	0	15	0	0	0	0	0	0	0	0	79	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	15	0	0	0	0	0	0	0	0	0	86	6	0	0	46	50168	2.1
4.66	0	0	0	74	0	0	1	2	0	0	56	0	1	0	7	0	0	1	22	1	0	0	0	0	0	62	5	0	0	0	0	0	0	0	0	14	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	3	197	1	2	20	0	0	0	0	0	0	0	0	93	0	0	0	0	0	0	0	0	0	0	2	0	0	4	0	0	0	1	7	0	0	0	0	0	0	0	0	0	109	41	0	0	49	50168	2.0
4.74	2	0	0	57	0	0	0	1	0	0	42	0	0	0	7	0	0	0	19	0	0	0	0	0	0	50	2	0	0	0	0	0	0	0	0	14	0	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	369	1	1	14	0	0	0	0	0	0	0	0	68	0	0	0	0	0	0	0	0	0	0	1	0	0	5	0	0	0	1	8	0	0	0	0	0	0	0	2	0	122	20	0	0	47	50168	2.0
4.82	3	0	0	108	0	1	3	0	1	1	47	0	0	0	4	0	0	0	24	0	0	0	0	0	0	53	10	0	0	0	0	0	0	0	0	12	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	7	969	0	0	32	0	0	0	0	0	0	0	0	116	0	0	1	0	0	0	0	0	0	0	0	0	0	7	0	0	0	4	19	0	1	0	0	0	0	1	4	1	261	29	3	0	64	50168	2.1
4.90	1	0	0	157	0	0	8	0	0	0	118	0	0	0	7	0	0	0	7	1	0	0	1	1	0	77	4	0	0	0	0	0	0	0	1	5	0	1	0	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	216	1	1	40	0	0	0	0	0	0	0	0	65	0	0	0	0	0	0	0	0	0	0	1	0	0	4	0	0	0	1	8	0	0	0	0	0	0	4	0	0	143	0	1	0	25	50168	2.0
4.94	0	0	0	29	0	0	0	0	0	0	29	0	0	0	0	0	0	0	5	0	0	0	0	0	0	19	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	111	1	0	16	0	0	0	0	0	0	0	0	16	0	0	0	0	0	0	0	0	0	0	2	0	0	1	0	0	0	0	2	0	0	0	0	0	0	0	0	0	27	0	2	0	20	50168	2.1
4.98	0	1	0	133	0	0	7	0	0	0	72	0	0	0	8	0	0	0	23	1	0	0	0	1	0	82	7	0	0	0	0	0	0	0	0	11	0	1	0	5	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	318	3	0	29	0	0	0	0	0	0	0	0	91	0	0	0	0	0	0	0	0	0	0	3	0	0	4	0	0	0	0	9	0	0	0	0	0	0	1	1	0	369	1	2	0	51	50168	2.0
5.02	0	1	0	180	0	0	11	1	2	0	125	0	0	0	5	0	0	1	22	1	0	0	0	1	0	62	7	0	0	0	0	0	0	0	0	7	0	0	0	7	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	3	298	9	2	59	0	0	0	0	0	0	0	0	76	0	0	0	0	0	0	0	0	0	0	3	0	0	5	1	0	1	0	10	0	0	0	0	0	0	0	8	0	355	1	3	0	58	50168	2.1
5.06	0	0	0	155	0	0	14	0	1	0	126	0	0	0	8	0	0	0	10	0	0	0	0	0	0	82	7	0	0	0	0	0	0	0	0	5	0	0	0	5	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	120	11	1	81	0	0	0	0	0	0	0	0	95	1	0	0	0	0	0	0	0	0	0	1	0	0	2	0	0	1	1	14	3	0	0	0	0	0	2	0	0	4880	0	1	0	72	50168	2.0
5.09	0	0	0	139	0	0	13	2	0	0	75	0	0	0	20	0	0	0	14	0	0	0	1	0	0	137	1	0	0	0	0	0	0	0	0	17	0	0	0	2	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	7	151	9	1	52	0	0	0	1	0	0	0	0	91	0	0	0	0	0	0	0	0	0	0	2	0	0	6	0	0	0	1	12	0	0	0	0	0	0	3	1	0	8770	0	0	0	140	50168	2.0
5.14	0	0	0	108	1	0	11	1	2	1	56	0	0	0	8	0	0	1	8	0	0	0	0	2	0	93	12	0	0	0	0	0	0	0	0	9	0	0	0	7	0	0	0	0	0	0	2	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	4	255	9	3	87	0	0	0	0	0	0	0	0	103	0	0	0	0	0	0	0	0	0	0	6	0	0	3	0	0	0	0	6	0	0	0	1	0	0	2	7	0	11680	0	0	0	108	50168	2.0
5.18	0	0	0	63	0	0	4	0	0	0	27	0	0	0	10	0	0	0	16	0	0	0	0	1	0	119	27	0	0	0	0	0	0	0	0	11	0	0	0	2	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	11	517	10	1	105	0	0	0	0	0	0	0	0	127	0	0	1	0	0	0	0	0	0	0	1	0	0	10	1	0	0	3	12	0	1	0	0	0	0	0	21	1	21160	0	0	0	116	50168	2.0
5.22	0	1	0	140	1	0	21	0	1	1	64	0	0	0	14	0	0	0	3	0	0	0	1	1	0	86	23	0	0	0	0	0	0	0	0	5	0	0	0	6	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	205	10	2	91	0	0	0	0	0	0	0	0	84	0	0	2	0	1	0	0	0	0	0	7	0	0	3	0	0	0	0	6	0	0	0	0	0	0	4	14	2	20553	1	0	0	79	50168	2.0
5.26	0	0	0	113	0	0	3	1	0	0	45	0	0	0	14	0	0	0	11	0	0	0	0	2	0	94	17	0	0	0	0	0	0	0	0	14	0	0	0	3	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	3	295	4	0	54	0	0	0	0	0	0	0	0	98	0	0	0	0	0	0	0	0	0	0	5	0	0	2	0	0	2	0	13	0	0	0	0	0	0	0	18	2	18921	0	0	0	167	50168	2.0
5.30	0	0	0	122	0	0	9	2	1	0	65	0	0	0	4	0	0	0	1	0	0	0	0	2	0	107	9	0	0	0	0	0	0	0	0	7	0	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	189	9	1	59	0	0	0	0	0	0	0	0	95	0	0	1	0	0	0	0	0	0	0	3	0	0	3	0	0	0	8	12	0	0	1	0	0	0	1	9	1	23495	0	0	0	90	50168	2.0
5.34	1	1	0	38	1	0	1	0	1	0	16	0	0	0	9	0	0	0	9	1	0	0	0	2	0	103	31	0	0	0	0	0	0	0	0	22	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	530	7	2	55	0	0	0	0	0	0	0	0	172	0	0	1	0	0	0	0	0	0	0	1	0	0	3	0	0	0	0	26	0	0	0	0	0	0	1	21	3	30080	1	1	0	181	50168	2.0
5.38	2	0	0	138	0	0	4	0	0	0	69	0	0	0	7	0	0	0	8	0	0	0	0	1	0	109	10	0	0	0	0	0	0	0	0	17	0	0	0	6	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	4	120	7	0	61	0	0	0	0	0	0	0	0	123	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	1	1	16	0	0	0	0	0	0	3	3	0	11600	0	0	0	92	50168	2.1
5.42	1	0	0	21	1	0	0	2	2	0	17	0	0	0	17	0	0	0	13	1	0	0	1	3	0	121	43	0	0	0	0	0	0	1	0	17	0	0	0	5	1	0	0	0	0	0	4	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	2	0	0	9	565	4	1	64	0	0	0	0	0	0	0	0	173	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	1	3	19	0	0	0	0	0	0	3	25	4	20320	0	0	0	201	50168	2.0
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5.50	2	1	0	129	1	0	6	1	0	0	51	0	1	0	7	0	0	0	11	0	0	0	0	0	0	119	29	0	0	0	0	0	0	0	0	10	0	0	0	6	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	341	6	1	66	0	2	0	0	0	0	0	0	144	0	0	0	0	0	0	0	0	0	0	2	0	0	11	0	0	0	2	10	0	0	0	0	0	0	1	17	1	10260	0	0	0	124	50168	2.1
5.54	3	0	0	175	0	1	6	2	0	0	78	0	1	0	6	0	0	0	5	3	0	0	0	1	0	85	8	0	0	0	0	0	0	0	0	8	0	0	0	6	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	104	5	3	44	0	0	0	0	0	0	0	0	102	0	0	1	0	0	0	0	0	0	0	3	0	0	9	0	0	0	3	14	0	0	0	0	0	0	2	4	0	1925	0	0	0	100	50168	2.1
5.58	1	0	0	174	0	0	4	3	2	0	41	0	0	0	9	0	0	0	4	1	0	0	0	3	0	112	16	0	0	0	0	0	0	0	0	31	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	4	228	7	0	44	0	1	0	0	0	0	0	0	108	0	0	0	0	0	0	1	0	0	0	3	0	0	8	0	0	1	0	14	0	0	0	0	0	0	0	5	2	10330	0	2	0	149	50168	2.0
5.62	1	0	0	167	0	0	3	0	2	0	78	0	0	0	4	0	0	0	6	1	0	0	2	7	0	89	13	0	0	0	0	0	0	0	1	3	0	1	0	9	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	7	213	14	2	70	0	0	0	0	0	0	0	0	110	0	0	0	0	1	0	0	0	0	0	4	0	0	15	0	0	1	2	10	0	0	0	0	0	0	2	8	1	785	1	0	0	99	50168	2.0
5.66	2	0	0	195	0	1	6	1	4	0	77	0	1	0	5	0	0	0	8	3	0	0	0	4	0	88	13	0	0	0	0	0	0	0	0	2	0	0	0	8	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	2	171	2	2	61	0	0	0	0	0	0	0	0	100	1	0	4	0	0	1	0	0	0	0	3	0	0	4	0	0	2	2	10	0	1	0	0	0	0	3	10	1	252	2	2	0	70	50168	2.1
5.70	1	0	0	94	1	0	4	0	1	0	70	0	1	0	11	0	0	0	11	0	0	0	1	3	0	143	11	0	0	0	0	0	0	0	0	10	0	0	0	6	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	7	207	2	0	57	0	0	0	0	0	0	0	0	132	0	0	0	0	0	0	0	0	0	0	4	0	0	13	1	0	0	1	8	0	0	0	0	0	0	3	12	2	1160	0	0	0	110	50168	2.0
5.74	1	0	0	112	0	0	4	0	0	0	83	0	0	0	6	0	0	1	6	0	0	0	1	2	0	126	10	0	0	0	0	0	0	0	0	30	0	0	0	5	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	1	0	0	2	221	7	3	47	0	0	0	0	0	0	0	0	115	0	0	0	0	0	0	0	0	0	0	2	0	0	7	0	0	0	1	13	0	0	0	1	0	0	1	6	1	1185	2	2	0	155	50168	2.0
5.78	1	0	0	142	0	0	5	3	0	1	69	0	0	0	10	0	0	0	6	2	0	0	0	0	0	91	8	0	0	1	0	0	0	0	0	17	0	0	0	12	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	1	163	11	1	84	0	1	0	0	0	0	0	0	138	0	0	0	0	1	0	0	0	0	0	0	0	0	8	0	0	0	2	9	0	0	0	0	0	0	1	4	1	1661	2	0	0	103	50168	2.0
5.82	1	2	0	81	0	0	3	3	2	0	23	0	0	0	17	0	0	0	2	2	0	0	1	0	0	146	19	0	0	0	0	0	0	0	0	32	0	0	0	1	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	0	0	6	534	13	2	46	0	1	0	0	0	0	0	0	173	0	1	0	0	0	0	0	0	0	0	1	0	0	10	0	0	2	7	22	0	0	0	0	1	0	3	12	0	3151	2	14	0	217	50168	2.1
5.86	0	0	0	199	1	0	4	1	1	0	46	0	0	0	2	0	0	0	1	3	1	0	0	5	0	109	14	0	0	0	0	0	0	0	0	7	0	0	0	6	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	0	0	1	147	8	1	64	0	0	0	0	0	0	0	0	117	0	0	0	0	0	1	0	0	0	0	0	0	0	3	0	0	0	2	8	0	0	0	0	0	0	1	10	0	1370	1	0	0	135	50168	2.0
5.90	0	0	0	167	0	0	3	0	2	1	41	0	0	0	13	0	0	1	4	0	0	0	1	1	0	136	16	0	0	0	0	0	0	0	0	8	0	0	0	6	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	2	215	17	2	81	0	0	0	0	0	0	0	0	122	0	0	0	0	0	0	0	0	0	0	3	0	0	5	1	0	1	2	7	0	0	0	0	0	0	3	7	1	1895	0	2	0	178	50168	2.0
5.94	0	0	0	143	0	0	3	0	0	0	60	0	0	0	11	0	0	1	12	2	0	0	0	1	0	124	27	0	0	0	0	0	0	0	1	7	0	0	0	8	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	2	187	10	3	60	0	1	0	0	0	0	0	0	126	0	0	0	0	0	0	0	0	0	0	3	1	0	11	0	0	0	2	5	0	0	0	0	0	0	2	7	1	3200	1	1	0	184	50168	2.0
5.98	6	0	0	107	0	0	1	0	2	0	40	0	0	0	9	0	0	0	4	4	0	0	3	5	0	144	16	0	0	0	0	0	0	1	0	22	0	0	0	2	0	2	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	2	0	0	7	352	10	1	31	0	0	0	0	0	0	0	0	133	0	0	0	0	3	0	0	0	0	0	2	0	0	13	0	0	2	2	20	0	0	0	0	0	0	0	4	1	5830	3	2	0	235	50168	2.0
6.02	0	0	0	175	0	0	8	1	1	0	36	0	1	0	13	0	0	0	7	1	0	0	0	1	0	118	8	0	0	0	0	0	0	0	0	8	0	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	8	120	14	0	39	0	0	0	0	0	0	0	0	125	0	0	0	0	0	0	0	0	0	0	2	0	0	9	0	0	0	1	12	0	0	0	0	0	0	0	0	0	1734	2	1	0	185	50168	2.1
6.06	1	0	0	104	1	0	3	2	2	1	71	0	0	0	7	0	0	0	8	0	0	0	0	2	0	119	14	0	0	0	0	0	0	1	0	6	1	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	1	314	9	1	60	0	0	0	0	0	0	0	0	152	0	0	0	0	0	0	0	0	0	0	1	0	0	16	0	0	0	2	17	0	0	0	0	0	0	0	4	0	5310	0	1	0	199	50168	2.0
6.08	2	0	0	158	0	0	2	2	1	0	55	0	0	0	11	0	0	0	2	1	0	0	3	4	0	109	27	0	0	0	0	0	0	0	0	11	0	0	0	9	0	1	0	0	0	0	2	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	5	353	10	2	59	0	0	0	0	0	0	0	0	117	1	1	0	0	0	0	0	0	0	0	4	0	0	5	0	1	0	2	23	0	0	0	0	0	0	3	12	2	7190	2	3	0	137	50168	2.0
6.09	0	0	0	144	0	0	4	0	1	0	43	0	0	0	9	0	0	0	5	3	0	0	0	1	0	128	12	0	0	0	0	0	0	0	0	16	0	0	0	3	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	4	379	15	2	49	0	1	0	0	0	0	0	0	142	0	1	1	0	0	0	0	0	0	0	3	0	0	3	0	0	0	2	10	0	0	0	0	0	0	1	6	0	4150	0	0	0	199	50168	2.0
6.14	0	0	0	172	0	0	5	2	2	0	60	0	0	0	2	0	0	0	3	4	1	0	1	2	0	105	8	0	0	0	0	0	0	0	0	11	0	0	0	2	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	3	153	3	1	42	0	0	0	1	0	0	0	0	125	0	0	0	0	0	0	0	0	0	0	3	0	1	2	0	0	0	2	16	0	0	0	0	0	0	0	6	0	1085	1	2	0	145	50168	2.0
6.18	0	0	0	172	0	0	5	2	0	0	57	0	0	0	7	0	0	0	3	1	0	0	0	3	0	101	18	0	0	0	0	0	0	0	0	14	0	0	0	4	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	2	293	4	0	37	0	0	0	0	0	0	0	0	119	0	0	0	0	0	0	0	0	0	0	3	0	0	12	0	0	0	3	15	0	0	0	0	0	0	0	7	1	402	3	12	0	143	50168	2.0
6.22	0	0	0	159	1	0	3	1	2	0	92	0	0	0	12	0	0	0	5	0	0	0	2	2	0	91	23	0	1	0	0	0	0	0	0	9	0	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	6	241	8	0	72	0	0	0	0	0	0	0	0	117	0	0	0	0	0	0	0	0	0	0	5	1	0	9	0	0	0	4	10	0	0	0	0	0	0	2	18	1	2060	2	2	0	144	50168	2.0
6.26	2	0	0	136	0	0	5	6	1	0	59	0	0	0	11	0	0	0	10	2	0	0	0	2	0	74	6	0	0	0	0	0	0	1	0	14	0	0	0	3	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	5	210	11	0	37	0	1	0	0	0	0	0	0	176	0	0	0	0	0	0	0	0	0	0	3	0	0	5	0	0	1	0	13	0	0	0	0	0	0	2	4	0	1365	0	8	0	203	50168	2.0
6.30	1	0	0	135	0	1	6	4	3	1	64	0	0	0	1	0	0	0	4	1	0	0	1	5	0	121	17	0	0	0	0	0	0	0	0	3	0	0	0	10	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	2	0	0	4	0	0	7	208	9	2	65	0	1	0	0	0	0	0	0	126	0	0	1	0	0	0	0	0	0	0	5	0	0	8	0	0	0	0	9	0	0	0	0	0	0	9	11	2	2250	0	0	0	100	50168	2.0
6.34	1	1	0	114	0	0	0	2	1	1	68	0	0	0	12	0	0	0	8	1	0	0	2	2	0	104	1	0	0	0	0	0	0	0	0	14	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	8	111	8	1	32	0	0	0	0	0	0	0	0	162	0	0	0	0	2	0	0	0	0	0	0	0	0	8	0	0	1	2	11	0	0	0	0	0	0	0	1	0	5110	0	2	0	235	50168	2.0
6.38	0	1	0	118	0	1	2	4	1	0	45	0	0	0	6	0	0	0	10	0	0	0	1	0	0	71	17	0	0	0	0	0	0	0	0	5	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	1	0	0	6	290	9	1	52	0	0	0	0	0	0	0	0	123	0	0	1	0	1	0	0	0	0	0	3	0	0	6	0	0	0	0	12	0	0	0	0	0	0	3	4	1	2584	0	1	0	93	50168	2.1
6.42	3	1	0	138	1	0	4	4	0	1	66	0	0	0	11	0	0	0	4	0	0	0	0	0	0	79	5	0	0	0	0	0	0	0	0	15	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	124	12	2	28	0	1	0	0	0	0	0	0	175	0	0	1	0	0	0	0	0	0	0	2	0	0	1	0	0	0	0	13	0	0	0	0	0	0	0	1	2	2800	0	5	0	203	50168	2.1
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10.74	0	0	0	57	0	0	6	1	4	0	123	0	0	0	2	0	0	0	0	4	0	0	0	1	0	92	8	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	3	289	0	1	38	0	0	0	0	0	0	0	0	157	0	0	0	0	0	0	0	0	0	0	3	0	0	5	0	0	0	1	19	0	0	0	0	0	1	1	9	2	3	2	1	0	43	50168	2.1
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10.90	0	0	0	81	0	0	9	0	2	0	121	0	0	0	2	0	0	0	0	2	0	0	0	0	0	138	3	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	2	0	0	0	254	0	0	42	0	0	0	0	0	0	0	0	140	0	0	0	0	0	0	0	0	0	0	3	0	0	6	0	0	1	0	36	0	0	0	0	0	0	0	3	1	3	0	7	0	37	50168	2.0
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11.06	0	0	0	72	0	0	3	1	3	0	134	0	0	1	5	0	0	0	0	0	0	0	0	0	0	92	4	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	0	0	0	1	252	0	0	45	0	0	0	0	1	0	0	0	96	0	0	0	0	0	0	0	0	0	0	1	0	0	2	0	0	0	1	19	0	0	0	0	0	0	0	4	0	5	1	8	0	48	50168	2.1
11.18	0	0	0	89	0	1	18	0	1	0	170	0	0	0	3	0	0	0	0	1	0	0	0	0	0	148	4	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	1	0	0	0	183	0	0	79	0	0	0	0	0	0	0	0	131	1	0	2	0	0	0	0	0	0	0	8	0	0	10	0	0	0	1	20	0	0	0	0	0	1	1	7	0	2	0	0	0	30	50168	2.0
11.26	0	0	0	129	0	0	13	1	1	0	157	0	0	0	2	0	0	0	0	0	0	0	0	0	0	152	2	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	4	0	0	0	103	0	0	38	0	0	0	0	0	0	0	0	182	0	0	0	0	0	0	0	0	0	0	6	0	0	6	0	0	0	0	44	0	0	0	0	0	0	3	1	0	2	3	0	0	44	50168	2.0
11.34	0	0	0	94	0	1	5	0	2	0	155	0	0	0	3	0	0	0	0	0	0	0	0	0	0	104	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	0	1	0	0	0	72	0	0	37	0	0	0	0	0	0	0	0	113	0	0	0	0	0	0	0	0	0	0	4	0	0	5	0	0	0	0	25	0	0	0	0	0	0	1	3	0	0	1	1	0	8	50168	2.1
11.42	0	0	0	82	0	0	6	2	1	0	121	0	0	0	2	0	0	0	0	1	0	0	0	0	0	203	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	96	0	0	41	0	0	0	0	0	0	0	0	135	0	0	0	0	0	0	0	0	0	0	7	0	0	6	0	0	0	0	35	0	0	0	0	0	0	2	0	0	0	1	2	0	22	50168	2.1
11.43	0	0	0	67	0	0	4	0	1	0	160	0	0	0	2	0	0	0	1	0	0	0	0	1	2	249	12	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	185	0	0	62	0	0	0	0	0	0	0	0	191	0	0	0	0	0	0	0	0	0	0	5	0	1	2	0	0	0	0	25	0	0	0	0	0	0	3	2	0	3	0	0	0	21	50168	2.0
11.50	0	0	0	15	0	0	7	0	3	0	212	0	0	0	1	0	0	0	0	0	0	0	0	0	0	253	4	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	125	0	0	38	0	0	0	0	0	0	0	0	57	0	0	0	0	0	0	0	0	0	0	9	0	0	0	0	0	0	1	12	0	0	0	0	0	1	0	1	0	0	0	3	0	21	50168	2.1
11.54	0	0	0	1	0	0	3	0	0	0	216	0	0	0	1	0	0	0	0	0	0	0	0	0	0	227	5	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	385	0	0	32	0	0	0	0	0	0	0	0	24	0	0	0	0	0	1	0	0	0	0	7	0	0	1	0	0	0	1	27	0	0	0	0	0	0	4	11	1	2	0	0	0	18	50168	2.2
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11.66	0	0	0	0	0	0	2	1	1	0	338	0	0	0	3	0	0	0	0	0	0	0	0	0	0	33	3	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	3	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	190	0	0	33	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	6	0	0	0	0	0	0	0	5	0	0	0	0	0	0	1	0	0	0	1	2	0	15	50168	2.0
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11.70	0	0	1	0	1	1	4	0	0	0	517	0	0	0	3	0	0	0	0	2	0	0	0	0	0	1	12	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	526	0	2	67	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	5	0	0	1	0	0	0	0	9	0	0	0	6	0	37	50168	1.9
11.72	0	0	0	0	0	0	3	0	0	0	484	0	0	0	1	0	0	0	0	0	0	0	0	0	0	3	15	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	338	0	0	34	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	5	0	0	1	0	0	0	1	13	0	0	1	0	0	20	50168	2.1
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11.80	0	0	0	1	0	0	17	0	1	0	394	0	1	0	0	0	0	0	0	0	0	0	0	1	0	3	42	0	0	0	0	0	1	0	0	0	0	8	0	0	0	0	0	0	0	0	0	0	0	0	0	11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	619	0	2	94	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	15	3	0	0	42	50168	2.1
11.82	0	0	0	1	1	0	17	0	3	0	195	0	0	0	0	0	0	0	0	1	0	0	0	2	0	0	11	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	549	0	0	32	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	15	8	34	1	105	50168	2.0
11.84	0	0	0	0	0	0	15	1	2	0	68	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	32	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	3	1	0	0	0	0	0	6	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	844	0	0	38	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	107	5	0	1	147	50168	2.0
11.86	0	0	0	0	0	0	12	2	2	0	67	0	0	0	1	0	0	0	0	0	0	0	0	2	0	0	33	0	0	0	3	1	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	856	0	0	57	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	17	4	58	0	172	50168	2.0
11.87	0	0	0	0	0	0	30	5	2	0	150	0	0	0	0	0	0	0	0	1	0	0	0	6	0	1	25	0	0	0	3	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	854	0	0	87	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	2	0	0	42	3	0	1	170	50168	2.0
11.90	0	0	0	0	0	0	9	1	1	0	367	3	0	0	2	0	0	0	0	1	0	0	0	0	0	0	10	0	0	0	1	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	324	0	1	51	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	9	0	40	50168	2.1
11.92	0	0	0	0	0	0	10	1	1	0	395	3	0	0	1	0	0	0	0	0	0	0	0	0	0	0	14	0	0	0	1	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	395	0	0	66	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	1	0	2	0	67	50168	2.0
11.95	0	0	0	0	0	0	19	1	2	0	552	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	12	0	0	0	0	0	0	0	0	0	0	6	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	716	0	2	95	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	3	2	15	0	65	50168	2.1
11.97	0	0	0	0	0	0	2	0	0	0	238	0	1	0	0	0	0	0	0	1	0	0	0	3	0	0	11	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	2	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	910	0	0	118	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	2	0	2	1	0	0	44	50168	2.1
11.98	0	0	0	1	0	0	17	1	1	0	390	0	0	0	0	0	0	0	0	4	1	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	602	0	2	89	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	3	2	11	0	61	50168	2.0
12.00	0	0	0	0	0	1	6	0	0	0	196	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	15	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1005	0	0	103	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	9	0	0	0	46	50168	1.9
12.02	0	0	0	0	1	0	15	0	2	0	288	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	22	0	0	0	0	1	0	0	0	0	0	2	0	0	0	0	0	0	1	2	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1002	0	2	163	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	13	10	31	1	59	50168	2.1
12.04	0	0	0	0	0	1	18	0	0	0	292	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	17	0	0	0	1	0	0	0	0	0	0	4	0	0	0	0	0	0	4	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	747	0	2	150	1	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	115	12	0	1	76	50168	2.0
12.05	0	0	0	0	0	0	21	0	2	0	341	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	21	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	2	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	453	0	3	160	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	83	6	0	0	83	50168	2.1
12.06	0	0	0	0	0	0	14	0	1	0	489	4	0	0	0	0	0	0	0	1	0	0	0	0	0	0	11	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	6	0	0	0	0	0	3	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	38	0	0	137	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	35	0	22	0	127	50168	2.0
12.07	0	0	0	0	0	0	15	1	4	0	482	0	0	0	0	0	0	0	0	4	0	0	0	0	0	1	26	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	7	0	0	0	0	0	7	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	65	0	0	83	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	52	5	0	0	131	50168	2.0
12.08	0	0	0	0	1	0	26	0	2	0	441	0	0	0	0	0	0	0	0	3	0	0	0	2	0	0	39	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	4	9	0	0	0	0	0	16	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	119	0	2	102	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	154	5	0	0	182	50168	2.1
12.09	0	0	0	1	0	0	37	0	7	0	165	0	0	0	0	0	0	0	0	9	0	0	0	0	0	2	26	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	9	6	0	0	0	0	0	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	157	0	0	98	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	232	31	295	1	403	50168	2.1