Citation:

PANGAEA.56805

Always quote citation above when using data! You can download the citation in several formats below.

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Related to:

Chen, Su-Hwa (1988): Neue Untersuchungen über die spät- und postglaziale Vegetationsgeschichte im Gebiet zwischen Harz und Leine (BRD). Flora, 181, 147-177

Project(s):

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

Coverage:

Latitude: 51.684875 * Longitude: 10.305869

Minimum DEPTH, sediment/rock: 0.00 m * Maximum DEPTH, sediment/rock: 4.87 m

Event(s):

Luederholz-2 * Latitude: 51.684875 * Longitude: 10.305869 * Elevation: 228.0 m * Location: Harz, Germany * Campaign: * Basis: Sampling on land * Method/Device: Sampling by hand (HAND) * Comment: Detritus-, Ton- und Torfmudden, eingeschalteter Sphagnum-Torf/Spätglazial, Holozän/Pollenzonen III-X

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	DEPTH, sediment/rock	Depth sed	m			Geocode
2	Pinus	Pin	#	Chen, Su-Hwa	Counting, palynology
3	Betula	Bet	#	Chen, Su-Hwa	Counting, palynology
4	Alnus	Aln	#	Chen, Su-Hwa	Counting, palynology
5	Quercus	Que	#	Chen, Su-Hwa	Counting, palynology
6	Ulmus	Ulm	#	Chen, Su-Hwa	Counting, palynology
7	Tilia indeterminata	Til.indet	#	Chen, Su-Hwa	Counting, palynology
8	Tilia cordata-type	Til.c-T	#	Chen, Su-Hwa	Counting, palynology
9	Tilia platyphyllos-type	Til.p-T	#	Chen, Su-Hwa	Counting, palynology
10	Fraxinus	Frx	#	Chen, Su-Hwa	Counting, palynology
11	Acer	Ace	#	Chen, Su-Hwa	Counting, palynology
12	Hedera	Hed	#	Chen, Su-Hwa	Counting, palynology
13	Viscum	Vis	#	Chen, Su-Hwa	Counting, palynology
14	Picea	Pic	#	Chen, Su-Hwa	Counting, palynology
15	Fagus	Fag	#	Chen, Su-Hwa	Counting, palynology
16	Carpinus	Car	#	Chen, Su-Hwa	Counting, palynology
17	Abies	Abi	#	Chen, Su-Hwa	Counting, palynology
18	Salix	Sal	#	Chen, Su-Hwa	Counting, palynology
19	Humulus and Cannabis	Hum+Can	#	Chen, Su-Hwa	Counting, palynology
20	Frangula alnus	Frg.a	#	Chen, Su-Hwa	Counting, palynology
21	Juniperus	Jun	#	Chen, Su-Hwa	Counting, palynology
22	Rhamnus catharticus	Rha.c	#	Chen, Su-Hwa	Counting, palynology
23	Hippophae	Hpp	#	Chen, Su-Hwa	Counting, palynology
24	Corylus	Cor	#	Chen, Su-Hwa	Counting, palynology
25	Gramineae	Graae	#	Chen, Su-Hwa	Counting, palynology
26	Cyperaceae	Cypae	#	Chen, Su-Hwa	Counting, palynology
27	Calluna	Cal	#	Chen, Su-Hwa	Counting, palynology
28	Empetrum	Emp	#	Chen, Su-Hwa	Counting, palynology
29	Vaccinium-type	Vac-T	#	Chen, Su-Hwa	Counting, palynology
30	Cichorioideae	Cicoid	#	Chen, Su-Hwa	Counting, palynology
31	Tubuliflorae indeterminata	Tubuliflorae indet	#	Chen, Su-Hwa	Counting, palynology
32	Centaurea cyanus	Cen.c	#	Chen, Su-Hwa	Counting, palynology
33	Centaurea jacea-type	Cen.j-T	#	Chen, Su-Hwa	Counting, palynology
34	Apiaceae	Apiae	#	Chen, Su-Hwa	Counting, palynology
35	Rosaceae	Rosae	#	Chen, Su-Hwa	Counting, palynology	pro part
36	Potentilla-type	Pti-T	#	Chen, Su-Hwa	Counting, palynology
37	Scrophulariaceae	Scoae	#	Chen, Su-Hwa	Counting, palynology
38	Ranunculus acris-type	Ran.a-T	#	Chen, Su-Hwa	Counting, palynology
39	Anemone-type	Ane-T	#	Chen, Su-Hwa	Counting, palynology
40	Caryophyllaceae	Cphae	#	Chen, Su-Hwa	Counting, palynology
41	Brassicaceae	Braae	#	Chen, Su-Hwa	Counting, palynology
42	Campanulaceae	Camae	#	Chen, Su-Hwa	Counting, palynology
43	Polygonum aviculare	Pol.i	#	Chen, Su-Hwa	Counting, palynology
44	Hypericum	Hyp	#	Chen, Su-Hwa	Counting, palynology
45	Fabaceae	Fabae	#	Chen, Su-Hwa	Counting, palynology
46	Thalictrum	Tha	#	Chen, Su-Hwa	Counting, palynology
47	Artemisia	Art	#	Chen, Su-Hwa	Counting, palynology
48	Chenopodiaceae	Cheae	#	Chen, Su-Hwa	Counting, palynology
49	Rumex	Rum	#	Chen, Su-Hwa	Counting, palynology
50	Plantago lanceolata	Pla.l	#	Chen, Su-Hwa	Counting, palynology
51	Plantago major/media	Pla.m/m	#	Chen, Su-Hwa	Counting, palynology
52	Hordeum-type	Hor-T	#	Chen, Su-Hwa	Counting, palynology
53	Triticum-type	Trt-T	#	Chen, Su-Hwa	Counting, palynology
54	Secale	Sec	#	Chen, Su-Hwa	Counting, palynology
55	Cerealia-type	Crl-T	#	Chen, Su-Hwa	Counting, palynology
56	Varia	Varia	#	Chen, Su-Hwa	Counting, palynology
57	Filipendula	Flp	#	Chen, Su-Hwa	Counting, palynology
58	Rubiaceae	Rubae	#	Chen, Su-Hwa	Counting, palynology
59	Urtica	Urt	#	Chen, Su-Hwa	Counting, palynology
60	Melampyrum	Mel	#	Chen, Su-Hwa	Counting, palynology
61	Lysimachia	Lys	#	Chen, Su-Hwa	Counting, palynology
62	Valeriana dioica	Val.d	#	Chen, Su-Hwa	Counting, palynology
63	Valeriana officinalis	Val.o	#	Chen, Su-Hwa	Counting, palynology
64	Lamiaceae	Lamae	#	Chen, Su-Hwa	Counting, palynology
65	Polemonium caeruleum	Poe.c	#	Chen, Su-Hwa	Counting, palynology
66	Succisa	Suc	#	Chen, Su-Hwa	Counting, palynology
67	Knautia	Kna	#	Chen, Su-Hwa	Counting, palynology
68	Helianthemum	Hel	#	Chen, Su-Hwa	Counting, palynology
69	Caltha	Clh	#	Chen, Su-Hwa	Counting, palynology
70	Trollius	Tro	#	Chen, Su-Hwa	Counting, palynology
71	Sanguisorba officinalis	San.o	#	Chen, Su-Hwa	Counting, palynology
72	Geranium	Ger	#	Chen, Su-Hwa	Counting, palynology
73	Batrachium	Bat	#	Chen, Su-Hwa	Counting, palynology
74	Typha latifolia-type	Typ.l-T	#	Chen, Su-Hwa	Counting, palynology
75	Alisma	Ali	#	Chen, Su-Hwa	Counting, palynology
76	Potamogeton	Pot	#	Chen, Su-Hwa	Counting, palynology
77	Nymphaea	Nym	#	Chen, Su-Hwa	Counting, palynology
78	Sparganium-type	Spa-T	#	Chen, Su-Hwa	Counting, palynology
79	Lythrum	Lyt	#	Chen, Su-Hwa	Counting, palynology
80	Lemna	Lem	#	Chen, Su-Hwa	Counting, palynology
81	Cladium	Cla	#	Chen, Su-Hwa	Counting, palynology
82	Polypodium	Ppd	#	Chen, Su-Hwa	Counting, palynology
83	Filicinae	Filiciae	#	Chen, Su-Hwa	Counting, palynology
84	Equisetum	Equ	#	Chen, Su-Hwa	Counting, palynology
85	Athyrium	Ath	#	Chen, Su-Hwa	Counting, palynology
86	Pteridium	Ptd	#	Chen, Su-Hwa	Counting, palynology
87	Botrychium	Bot	#	Chen, Su-Hwa	Counting, palynology
88	Selaginella selaginoides	Sel.s	#	Chen, Su-Hwa	Counting, palynology
89	Dryopteris filix-mas	Drp.f-m	#	Chen, Su-Hwa	Counting, palynology
90	Ophioglossum	Oph	#	Chen, Su-Hwa	Counting, palynology
91	Sphagnum	Sph	#	Chen, Su-Hwa	Counting, palynology

License:

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

Size:

3150 data points

Data

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

1 Depth sed [m]	2 Pin [#]	3 Bet [#]	4 Aln [#]	5 Que [#]	6 Ulm [#]	7 Til.indet [#]	8 Til.c-T [#]	9 Til.p-T [#]	10 Frx [#]	11 Ace [#]	12 Hed [#]	13 Vis [#]	14 Pic [#]	15 Fag [#]	16 Car [#]	17 Abi [#]	18 Sal [#]	19 Hum+Can [#]	20 Frg.a [#]	21 Jun [#]	22 Rha.c [#]	23 Hpp [#]	24 Cor [#]	25 Graae [#]	26 Cypae [#]	27 Cal [#]	28 Emp [#]	29 Vac-T [#]	30 Cicoid [#]	31 Tubuliflorae indet [#]	32 Cen.c [#]	33 Cen.j-T [#]	34 Apiae [#]	35 Rosae [#]	36 Pti-T [#]	37 Scoae [#]	38 Ran.a-T [#]	39 Ane-T [#]	40 Cphae [#]	41 Braae [#]	42 Camae [#]	43 Pol.i [#]	44 Hyp [#]	45 Fabae [#]	46 Tha [#]	47 Art [#]	48 Cheae [#]	49 Rum [#]	50 Pla.l [#]	51 Pla.m/m [#]	52 Hor-T [#]	53 Trt-T [#]	54 Sec [#]	55 Crl-T [#]	56 Varia [#]	57 Flp [#]	58 Rubae [#]	59 Urt [#]	60 Mel [#]	61 Lys [#]	62 Val.d [#]	63 Val.o [#]	64 Lamae [#]	65 Poe.c [#]	66 Suc [#]	67 Kna [#]	68 Hel [#]	69 Clh [#]	70 Tro [#]	71 San.o [#]	72 Ger [#]	73 Bat [#]	74 Typ.l-T [#]	75 Ali [#]	76 Pot [#]	77 Nym [#]	78 Spa-T [#]	79 Lyt [#]	80 Lem [#]	81 Cla [#]	82 Ppd [#]	83 Filiciae [#]	84 Equ [#]	85 Ath [#]	86 Ptd [#]	87 Bot [#]	88 Sel.s [#]	89 Drp.f-m [#]	90 Oph [#]	91 Sph [#]
0.00	8	8	400	30	1	1	1	0	0	1	0	0	32	15	3	1	1	1	0	0	0	0	3	48	67	2	0	0	1	3	0	0	1	0	0	1	2	2	0	0	1	0	0	1	1	1	0	2	6	1	0	6	6	1	3	0	105	1	0	0	0	0	0	0	0	0	0	1	0	0	0	1	2	0	0	0	25	1	1	0	0	105	0	0	1	0	0	0	0	146
0.10	19	17	197	91	1	3	3	0	1	1	0	0	84	47	27	2	5	3	0	1	0	0	8	75	210	3	0	0	2	7	1	0	0	0	3	0	2	9	4	4	0	0	0	3	0	0	2	3	8	0	4	13	25	0	1	0	3	0	0	0	0	0	1	0	0	0	1	4	0	0	0	0	14	0	0	0	5	3	0	4	0	48	0	0	0	0	0	0	0	19
0.20	17	20	164	114	0	2	1	1	0	1	0	0	78	68	28	0	4	2	2	0	0	0	23	75	196	2	0	0	5	2	0	0	1	1	2	0	0	3	3	5	0	1	0	0	0	0	0	6	11	1	7	8	23	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	0	0	0	9	3	1	1	0	58	0	0	1	0	0	0	0	1
0.30	16	71	181	114	3	1	0	0	0	0	0	0	10	50	50	0	2	1	0	0	1	0	21	26	83	0	0	0	5	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	0	5	5	0	8	3	13	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	1	2	0	29	0	0	1	0	0	0	0	2
0.37	43	51	139	88	1	5	5	1	0	3	0	0	18	93	52	1	4	1	0	1	0	0	55	45	191	2	0	0	3	10	0	1	0	0	0	1	0	2	0	0	0	0	0	0	0	3	2	1	3	0	3	3	10	1	2	1	5	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	5	0	0	0	2	0	0	1	0	246	0	0	1	0	0	0	0	2
0.45	30	11	80	90	10	8	0	0	5	2	0	0	10	176	75	1	0	0	0	0	1	0	76	29	179	0	0	0	2	3	1	0	0	0	2	0	2	0	0	0	0	0	0	0	0	2	0	2	0	0	1	0	7	0	0	0	7	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	167	0	0	1	0	0	0	0	1
0.50	23	11	80	82	10	18	0	1	2	5	0	0	7	215	45	1	1	0	0	0	0	0	33	19	134	0	0	0	2	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	1	0	0	0	1	2	0	1	1	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	2	0	0	3	1	74	0	0	0	0	0	0	0	0
0.60	25	12	90	101	9	17	0	2	1	5	0	0	10	184	34	0	1	0	0	0	0	0	58	27	115	0	0	0	6	2	2	0	0	0	0	0	2	0	0	0	0	0	0	0	0	5	0	0	0	0	0	0	0	0	1	0	4	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	2	1	94	0	0	0	0	0	0	1	2
0.70	18	10	106	139	9	80	76	4	3	6	1	0	8	116	5	1	3	1	0	0	0	0	47	24	67	1	0	0	4	0	0	0	0	1	0	2	0	1	2	0	2	0	1	0	0	3	1	2	1	0	0	1	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	2	0	0	0	0	1	0	210	0	0	0	0	0	0	0	0
0.80	25	3	170	187	26	60	50	10	3	7	3	0	10	4	1	1	0	0	0	0	0	0	132	5	12	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	3	0	1	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	1	4	239	0	0	0	0	0	0	0	0
0.90	47	8	167	72	9	88	81	7	3	13	2	0	33	4	2	1	0	1	0	0	0	0	123	17	38	1	0	0	0	0	1	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	2	0	1	0	1	3	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	2	104	0	0	0	0	0	0	0	0
1.00	23	4	260	87	21	80	64	16	5	4	2	1	9	3	0	1	0	0	0	0	0	0	123	14	22	2	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	1	0	0	1	2	0	0	3	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	34	1	0	1	0	0	0	0	0
1.10	29	10	76	227	19	104	85	19	9	0	2	3	14	1	6	0	0	0	0	0	0	0	117	7	64	0	0	0	0	0	0	0	0	0	0	0	1	0	3	0	0	0	0	0	0	4	1	0	0	0	1	4	0	1	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	2	0	17	3	0	1	1	67	0	0	0	0	0	0	0	2
1.30	66	15	18	168	57	149	121	28	16	4	2	1	3	1	0	0	0	0	0	0	0	0	185	17	12	1	0	0	0	0	0	0	0	0	0	1	0	0	9	0	1	0	0	0	0	1	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	10	0	0	0	0	0	8	0	0	2	12	0	0	0	0	0	1	0	1
1.50	62	8	14	105	66	220	171	46	16	2	3	2	2	0	0	0	0	0	0	0	0	0	134	6	9	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	1	0	0	7	0	0	2	17	1	0	2	0	0	0	0	0
1.70	46	5	15	167	71	163	147	16	23	2	4	1	4	0	0	0	0	0	0	0	0	0	99	7	6	1	0	0	0	0	0	0	1	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	1	0	0	0	0	0	0	0	0	2	0	0	0	0	0	1	3	0	0	7	0	0	0	0	0	1	0	0
1.90	71	3	8	81	77	236	220	16	6	3	11	2	3	0	0	0	0	0	0	0	0	0	202	8	10	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	1	0	2	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	83	0	0	1	0	0	2	0	1
2.10	93	4	9	55	70	249	234	15	8	1	4	5	0	0	1	0	0	1	0	0	0	0	172	5	4	0	0	0	1	0	1	0	0	1	0	0	0	0	0	1	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	0	0	0	0	0	0	0	0	0	0	15	2	0	0	0	0	0	0	0
2.30	67	13	19	119	122	137	123	14	10	0	2	11	0	0	0	0	0	0	0	0	0	0	446	5	6	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	4	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	3	0	11	0	1	13	1	0	1	0	0	1	0	1
2.40	198	16	13	78	97	121	113	9	1	1	0	4	2	1	1	0	1	0	0	0	0	0	404	1	28	0	0	0	1	0	0	0	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	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	14	4	0	4	0	0	3	1	4
2.49	161	13	1	102	73	133	124	0	9	0	3	1	1	0	0	0	3	1	0	0	0	0	466	8	12	2	0	0	1	0	0	0	1	2	0	0	0	0	0	0	0	0	0	0	0	3	0	1	0	0	0	0	0	0	0	0	1	4	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	4	0	2	0	0	6	1	0	11	1	0	5	0	0	3	0	0
2.60	94	14	4	58	34	294	292	2	0	0	0	0	0	0	0	0	2	0	0	0	0	0	283	1	10	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	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	0	0	0	0	0	0	0	0	0	3	1	0	0	0	0	3	0	0
2.70	143	24	0	41	55	229	227	0	0	0	3	3	0	0	0	0	0	2	0	0	0	0	425	9	2	0	0	0	1	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	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	0	0	0	0	0	0	0	0	0	11	1	0	3	0	0	1	0	0
2.80	247	75	1	127	45	0	0	0	0	0	0	0	0	0	0	0	5	0	0	0	0	0	846	15	20	0	0	0	0	0	1	0	1	0	4	0	1	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	2	0	5	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	3	0	0	47	3	0	2	0	0	0	0	0
2.90	395	85	0	9	3	0	0	0	0	0	0	0	0	0	0	0	5	3	0	0	0	0	157	14	31	0	0	0	0	0	2	0	4	0	11	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	2	3	5	5	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	3	0	0	41	1	0	0	0	0	0	0	0
3.11	318	168	0	0	0	0	0	0	0	0	0	0	0	0	0	0	14	0	0	0	0	0	6	29	60	0	1	0	1	0	2	0	1	0	7	0	0	0	0	0	0	0	0	0	1	5	0	0	0	0	0	0	0	0	0	11	2	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	40	0	0	0	0	0	0	0	2
3.30	264	234	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	3	17	53	1	0	0	0	0	0	0	1	0	3	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	3	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	8	0	1	0	0	0	1	0	1
3.50	278	217	0	0	1	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	5	19	35	0	0	0	2	0	0	0	1	0	2	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	7	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	11	1	2	0	0	0	7	0	0
3.71	283	200	0	3	0	1	1	0	0	0	0	0	0	0	0	0	13	0	0	0	0	0	0	98	315	0	1	0	1	0	4	0	2	0	15	0	0	0	1	3	0	0	1	0	2	9	0	2	0	0	0	0	0	0	2	35	4	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	0	0	0	0	0	0	0	51
3.90	81	409	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	7	0	0	1	62	49	1	0	0	1	0	0	0	1	0	1	0	0	0	0	0	1	1	0	0	1	6	0	0	0	0	0	0	0	0	2	52	0	0	0	0	0	0	0	1	0	0	0	2	0	2	0	0	7	0	0	0	0	0	1	0	0	1	1	0	0	0	0	0	0	1
4.10	147	294	0	1	0	0	0	0	0	0	0	0	0	0	0	0	26	0	0	32	0	0	8	166	71	2	2	0	10	0	4	0	4	3	3	0	3	0	2	0	0	0	0	0	1	5	0	0	0	0	0	0	0	0	3	124	3	0	1	0	0	0	0	0	0	0	0	2	0	6	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	11	0	0	0	11
4.30	131	326	0	1	0	0	0	0	0	0	0	0	0	0	0	0	13	0	0	29	0	0	12	274	140	0	2	0	76	0	25	0	1	0	5	8	1	0	10	1	1	0	1	0	10	21	2	4	0	0	0	0	0	0	8	10	11	0	6	0	0	0	0	0	0	1	2	6	0	1	1	0	0	0	0	0	2	0	0	0	0	4	0	0	0	38	1	0	0	2
4.50	89	355	0	2	0	0	0	0	0	0	0	0	0	0	0	0	14	0	0	39	0	1	4	240	64	0	4	0	15	0	15	0	1	0	4	8	2	0	3	6	3	0	0	0	5	20	1	1	0	0	0	0	0	0	3	23	6	1	1	0	0	0	0	1	0	0	3	6	0	0	3	0	0	0	1	0	41	0	0	0	0	2	0	0	0	17	0	0	0	17
4.60	89	352	0	0	0	0	0	0	0	0	0	0	0	0	0	0	12	0	0	47	0	0	1	252	75	0	3	1	12	0	19	0	3	0	9	9	3	1	2	3	2	0	0	0	5	2	0	1	0	0	0	0	0	0	4	20	4	0	1	0	0	0	0	0	0	1	5	2	1	3	2	0	0	0	0	0	29	0	0	0	0	2	0	0	0	11	0	0	0	2
4.87	356	126	0	0	0	0	0	0	0	0	0	0	0	0	0	0	6	0	0	14	0	0	0	258	260	2	3	0	111	0	51	0	2	0	12	3	3	15	9	14	0	0	0	0	8	3	0	0	0	0	0	0	0	0	8	0	10	0	2	0	12	0	0	2	0	3	3	4	0	6	2	6	0	0	0	0	0	0	0	0	0	46	0	0	0	140	2	0	0	6