Citation:

PANGAEA.946601

Name: Planktonic foraminifera counts of sediment core MD95-2042 off the Iberian margin for the past 60 ka
Creator: Linda Rossignol
Published: 2022-07-26
License: https://creativecommons.org/licenses/by/4.0/
Keywords: absolute abundance; abundance data; Iberian margin; MD95-2042; Planktonic foraminifera

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Abstract:

Absolute abundance data of planktonic foraminifera of sediment core MD95-2042 (3146 m water depth) off the Western Iberian margin for the past 60 ka. Counts were performed within the coarse sedimentary fraction (>150 µm) and a minimum of 300 specimens were counted per sample. Harmonized taxonomy follows Siccha and Kucera (2017). Age (ka) is based on Chabaud et al., 2014, The Holocene and Sanchez Goñi et al., 2013 Nature Geoscience.

Keyword(s):

absolute abundance; abundance data; Iberian margin; MD95-2042; Planktonic foraminifera

Related to:

Chabaud, Ludivine; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Rossignol, Linda (2014): Land–sea climatic variability in the eastern North Atlantic subtropical region over the last 14,200 years: Atmospheric and oceanic processes at different timescales. The Holocene, 24(7), 787-797, https://doi.org/10.1177/0959683614530439

Further details:

Sanchez Goñi, Maria Fernanda; Bard, Edouard; Landais, Amaëlle; Rossignol, Linda; d'Errico, Francesco (2013): Air–sea temperature decoupling in western Europe during the last interglacial–glacial transition. Nature Geoscience, 6(10), 837-841, https://doi.org/10.1038/ngeo1924

Siccha, Michael; Kucera, Michal (2017): ForCenS, a curated database of planktonic foraminifera census counts in marine surface sediment samples. Scientific Data, 4, 170109, https://doi.org/10.1038/sdata.2017.109

Coverage:

Latitude: 37.799833 * Longitude: -10.166500

Date/Time Start: 1995-07-09T00:00:00 * Date/Time End: 1995-07-09T00:00:00

Minimum DEPTH, sediment/rock: 0.040 m * Maximum DEPTH, sediment/rock: 17.700 m

Event(s):

MD95-2042 (MD952042) * Latitude: 37.799833 * Longitude: -10.166500 * Date/Time: 1995-07-09T00:00:00 * Elevation: -3146.0 m * Recovery: 40 m * Location: Marge Ibérique * Campaign: (IMAGES I) * Basis: * Method/Device: Calypso Corer (CALYPSO) * Comment: XXVII Sections, OK; core bent

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	DEPTH, sediment/rock	Depth sed	m	Rossignol, Linda		Geocode
2	AGE	Age	ka BP	Rossignol, Linda	Age model in radiocarbon 14C ages	Geocode – based on Chabaud et al., 2014 and Sanchez Goñi et al., 2013
3	Neogloboquadrina pachyderma	N. pachyderma	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
4	Neogloboquadrina incompta	N. incompta	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
5	Globigerina bulloides	G. bulloides	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
6	Turborotalita quinqueloba	T. quinqueloba	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
7	Globorotalia scitula	G. scitula	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
8	Globigerinita glutinata	G. glutinata	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
9	Globoconella inflata	G. inflata	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
10	Globigerinella siphonifera	G. siphonifera	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
11	Globoturborotalita rubescens	G. rubescens	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
12	Globigerina falconensis	G. falconensis	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
13	Globorotalia hirsuta	G. hirsuta	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
14	Globorotalia truncatulinoides dextral	G. truncatulinoides d	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
15	Globorotalia truncatulinoides sinistral	G. truncatulinoides s	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
16	Globigerinoides ruber albus	G. ruber albus	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
17	Globigerinoides ruber ruber	G. ruber ruber	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
18	Beella digitata	B. digitata	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
19	Orbulina universa	O. universa	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
20	Orbulina bilobata	O. bilobata	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
21	Globigerinoides conglobatus	G. conglobatus	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
22	Trilobatus trilobus	T. trilobus	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
23	Trilobatus sacculifer	T. sacculifer	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
24	Neogloboquadrina dutertrei	N. dutertrei	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
25	Globigerinoides tenellus	G. tenellus	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
26	Globigerinella calida	G. calida	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
27	Globorotalia crassaformis	G. crassaformis	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
28	Pulleniatina obliquiloculata	P. obliquiloculata	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
29	Turborotalita humilis	T. humilis	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
30	Globorotaloides hexagonus	G. hexagonus	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
31	Globorotalia menardii	G. menardii	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
32	Orbulina suturalis	O. suturalis	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
33	Foraminifera indeterminata	Foram indet	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
34	Foraminifera, benthic	Foram benth	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted
35	Foraminifera, planktic, fragments	Foram plankt fragm	#	Rossignol, Linda	Counting >150 µm fraction	min. 300 specimens counted

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

7436 data points

Data

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

1 Depth sed [m]	2 Age [ka BP]	3 N. pachyderma [#]	4 N. incompta [#]	5 G. bulloides [#]	6 T. quinqueloba [#]	7 G. scitula [#]	8 G. glutinata [#]	9 G. inflata [#]	10 G. siphonifera [#]	11 G. rubescens [#]	12 G. falconensis [#]	13 G. hirsuta [#]	14 G. truncatulinoides d [#]	15 G. truncatulinoides s [#]	16 G. ruber albus [#]	17 G. ruber ruber [#]	18 B. digitata [#]	19 O. universa [#]	20 O. bilobata [#]	21 G. conglobatus [#]	22 T. trilobus [#]	23 T. sacculifer [#]	24 N. dutertrei [#]	25 G. tenellus [#]	26 G. calida [#]	27 G. crassaformis [#]	29 T. humilis [#]	30 G. hexagonus [#]	32 O. suturalis [#]	33 Foram indet [#]	34 Foram benth [#]	35 Foram plankt fragm [#]
0.040	0.179	3	74	153	0	4	31	62	7	0	2	2	2	3	46	0	0	6	0	1	16	0	0	0	3	1	0	0	0	1	5
0.140	0.628	3	91	110	0	1	24	65	2	1	0	4	7	7	49	1	0	5	0	1	21	1	0	0	1	0	0	0	0	0	0
0.240	1.076	5	86	145	1	5	26	56	5	0	3	9	3	5	39	1	0	2	0	0	24	4	0	0	1	0	0	3	1	0	5
0.340	1.441	4	80	123	2	8	15	54	7	9	2	6	5	6	39	3	0	4	0	0	20	8	0	2	3	0	0	2	0	0	4
0.440	1.805	2	73	176	1	6	22	43	2	6	7	2	7	9	29	0	0	6	0	1	17	2	0	1	2	0	0	0	0	0	3
0.540	2.170	5	79	125	3	6	14	61	3	1	3	3	8	4	43	3	1	6	0	1	29	2	0	0	3	0	0	0	0	1	0
0.640	2.543	2	90	137	2	1	19	53	6	2	1	8	10	3	40	1	0	3	0	0	17	9	0	0	2	0	0	0	1	1	2
0.740	2.916	6	89	130	0	4	8	65	5	5	0	4	6	1	35	2	0	3	0	2	18	0	0	0	4	0	0	0	0	3	1
0.840	3.290	6	92	133	0	1	12	40	7	6	5	2	8	4	35	10	1	3	0	1	17	5	0	0	2	0	0	1	1	0	1
0.940	3.663	3	118	107	0	0	23	34	4	5	3	5	14	1	46	5	0	4	0	1	16	3	0	0	4	0	0	1	0	0	2
1.040	4.036	2	110	160	0	4	8	38	5	6	4	0	14	2	34	5	0	3	0	2	11	2	0	1	5	0	0	0	0	1	2
1.140	4.267	4	84	147	2	3	14	34	3	5	3	2	15	3	29	1	1	7	0	1	17	2	0	1	1	0	0	2	0	0	2
1.240	4.498	3	97	154	0	1	15	44	0	2	1	8	6	5	62	0	0	3	0	0	9	0	0	0	3	0	0	2	0	0	2
1.340	4.729	5	95	121	1	2	9	46	4	2	8	4	5	3	62	0	0	4	0	1	9	0	0	0	0	1	0	0	0	1	1
1.440	4.960	2	87	129	0	1	19	39	3	0	4	4	5	6	70	1	0	7	0	1	6	1	0	3	1	1	0	0	0	1	2
1.540	5.191	1	92	135	3	8	13	50	4	5	6	4	7	1	65	0	0	3	0	0	3	0	0	0	2	0	0	0	0	0	2
1.640	5.600	2	88	118	1	3	22	50	4	1	2	1	9	4	62	2	0	6	0	1	8	2	0	1	5	0	0	0	0	2	1
1.740	6.009	2	69	106	0	1	15	65	3	5	7	6	9	2	67	0	0	10	1	0	10	2	0	0	3	1	0	0	1	0	0
1.840	6.418	0	73	127	1	3	14	61	3	2	6	1	12	3	80	0	2	3	0	1	7	1	0	0	2	1	0	1	0	0	0
1.940	6.754	3	64	147	0	2	15	55	5	3	2	1	7	2	69	3	2	7	0	3	8	7	0	0	3	0	0	0	0	0	3
2.040	7.090	8	74	149	1	3	22	65	8	3	4	2	8	0	67	2	4	6	0	1	8	0	0	0	1	0	0	0	1	0	1
2.140	7.568	4	73	148	3	2	14	34	9	2	4	2	7	1	76	2	0	8	0	0	7	1	0	0	5	2	0	0	0	1	2
2.240	8.046	2	101	143	3	0	20	42	3	3	3	9	2	3	58	1	0	2	0	0	11	0	0	0	3	0	0	0	0	0	3
2.340	8.302	3	93	128	0	3	21	42	0	4	2	1	0	5	63	4	0	2	0	0	5	3	0	0	5	0	0	0	0	0	3
2.440	8.559	3	73	139	0	1	15	53	1	3	4	6	0	1	48	4	1	5	0	0	7	2	0	2	4	2	0	0	0	1	2
2.540	8.815	2	99	157	0	1	20	48	1	5	4	3	0	1	63	3	0	10	0	0	4	0	0	0	5	1	0	0	0	1	4
2.640	9.071	3	90	159	6	2	13	36	5	5	6	1	2	3	42	9	1	6	0	1	0	1	0	0	2	1	0	0	0	0	2
2.740	9.328	3	89	153	3	0	16	47	1	4	2	1	1	5	41	3	0	3	0	0	3	0	0	0	4	1	0	0	0	0	2
2.840	9.584	3	89	169	2	4	7	28	2	3	4	2	2	2	43	10	0	6	0	0	1	0	0	0	5	0	0	0	0	1	2
2.940	10.712	3	102	167	3	0	10	30	4	3	4	1	3	2	66	1	0	3	0	0	0	0	0	0	1	2	0	0	0	0	7
3.040	11.840	2	106	159	14	5	28	41	9	2	15	0	6	3	47	0	0	6	0	0	0	0	0	0	0	1	0	0	0	0		113
3.140	11.964	9	117	159	26	4	39	79	2	0	13	0	2	1	26	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0		25
3.240	12.088	14	76	154	46	8	35	61	0	0	11	2	3	1	13	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0		36
3.340	12.213	22	80	141	53	3	35	35	0	0	1	4	3	0	3	0	1	4	0	0	0	0	0	0	2	0	0	0	0	0		36
3.440	12.337	25	115	138	47	4	15	54	0	0	0	2	4	0	1	0	0	7	0	0	0	0	0	0	0	0	0	0	0	0		53
3.540	12.461	11	84	132	50	0	15	50	0	0	0	0	6	1	4	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0		68
3.640	12.712	6	136	121	55	3	30	78	0	0	0	3	7	0	21	0	0	10	0	0	0	0	0	0	2	0	0	0	0	0		157
3.740	12.963	8	143	103	17	3	21	68	2	0	7	5	5	1	20	0	0	5	0	0	0	0	0	0	1	0	0	0	0	0		151
3.840	13.214	8	135	77	22	1	11	62	1	0	1	1	6	1	18	0	0	5	0	0	0	0	0	0	0	0	0	0	0	0		143
3.940	13.464	2	143	68	7	0	16	83	5	0	0	1	9	0	5	0	1	10	0	0	0	0	0	0	0	0	0	0	0	0		152
4.040	13.715	0	120	79	1	0	15	88	4	5	2	2	4	2	11	0	0	8	0	0	0	0	0	0	0	0	0	0	0	0		163
4.140	13.966	3	108	70	5	0	15	90	2	5	3	0	10	1	10	0	0	6	0	0	0	0	0	0	4	0	0	0	0	0		183
4.250	14.242	1	136	98	2	3	13	184	4	7	8	3	17	4	23	0	0	9	0	0	0	0	0	0	1	0	0	0	0	0		158
4.340	14.468	2	91	96	15	1	19	73	8	3	6	0	6	1	45	0	0	4	0	0	0	0	0	0	2	0	0	0	0	0		128
4.450	14.744	15	98	99	73	7	27	60	0	0	0	1	2	0	16	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0		80
4.540	14.970	75	87	162	74	4	20	40	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0		14
4.650	15.246	71	43	97	100	6	15	14	0	0	0	0	0	1	4	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0		54
4.740	15.471	202	28	124	57	1	1	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0		20
4.850	15.747	213	21	114	75	2	6	1	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0		27
4.940	15.973	236	24	110	84	7	5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0		33
5.030	16.199	175	37	113	99	9	21	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0		20
5.150	16.500	189	56	211	118	14	24	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0		52
5.250	16.751	203	11	137	67	0	6	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0		43
5.340	16.977	206	19	104	71	5	14	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0		33
5.450	17.253	141	38	162	69	5	16	6	0	0	0	0	0	0	2	0	0	3	0	0	1	0	0	0	0	0	0	0	0	0		38
5.540	17.478	132	29	187	107	7	14	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0		29
5.650	17.754	92	36	169	77	1	20	2	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0		32
5.740	17.980	76	35	141	62	8	33	12	0	0	1	0	0	1	2	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0		47
5.850	18.256	13	181	99	19	10	39	38	0	0	6	0	4	0	1	0	0	3	0	0	0	0	0	0	3	1	0	0	0	0		157
5.940	18.482	3	177	53	5	30	39	41	7	0	9	0	1	0	5	0	1	8	0	0	0	0	0	0	5	0	0	0	0	0		64
6.050	18.758	12	165	85	10	36	48	44	3	0	4	0	4	1	2	0	0	4	0	0	1	0	0	0	4	0	0	0	0	0		85
6.140	18.984	4	166	53	7	29	40	35	3	0	12	0	2	0	8	0	0	10	0	0	0	0	0	0	5	0	0	0	0	0		66
6.250	19.260	6	199	97	2	22	52	37	5	2	5	0	8	0	4	0	0	4	0	0	0	0	0	0	4	0	0	0	0	0		37
6.340	19.485	0	167	69	13	30	42	45	3	2	3	0	0	0	8	0	0	15	0	0	0	0	0	0	4	0	0	0	0	0		60
6.450	19.761	2	113	62	0	46	34	38	3	2	0	0	3	1	7	0	0	9	0	0	0	0	0	0	3	0	0	0	0	0		113
6.540	19.987	1	103	66	7	32	32	47	5	0	0	0	2	0	10	0	0	7	0	0	0	0	0	0	6	0	0	0	0	0		66
6.650	20.263	6	142	97	11	16	43	31	7	1	0	0	0	0	25	0	1	7	0	0	0	0	0	0	11	0	0	0	0	0		78
6.740	20.489	0	129	135	11	20	35	36	5	0	0	0	1	0	19	0	1	10	0	0	0	0	0	0	6	0	0	0	0	0		37
6.850	20.765	1	107	99	14	36	31	19	2	0	0	0	0	0	32	0	0	7	0	0	0	0	0	0	9	0	0	0	0	0		65
6.940	20.991	1	89	69	13	45	24	60	7	1	0	0	1	0	32	0	0	4	0	0	0	0	0	0	4	0	0	0	0	0		111
7.000	21.141	4	108	98	11	42	18	59	1	0	1	0	1	0	29	0	0	6	0	0	0	0	0	0	2	0	0	0	0	1	9
7.050	21.267	1	117	69	7	37	45	85	3	0	0	0	1	0	29	0	2	7	0	0	0	0	0	0	5	0	0	0	0	0		100
7.100	21.392	3	119	114	6	37	27	62	3	2	0	0	1	0	20	0	0	10	0	0	0	0	0	0	3	0	0	0	0	0	9
7.140	21.492	3	101	95	17	31	41	59	6	0	0	0	1	0	23	0	1	9	0	0	0	0	0	0	5	0	0	0	0	0		67
7.200	21.643	2	126	110	6	26	21	70	3	2	1	0	4	0	23	0	0	11	0	0	0	0	0	0	4	0	0	0	2	0	6
7.250	21.768	1	193	141	11	39	75	85	2	2	1	0	1	0	22	0	0	23	0	0	0	0	0	0	2	0	0	0	0	0		175
7.290	21.869	8	142	109	4	34	36	70	2	0	5	0	1	0	9	0	1	12	0	0	0	0	0	0	0	0	0	0	0	3	7
7.340	21.994	2	173	89	10	20	69	89	1	0	0	0	4	0	22	0	0	6	0	0	0	0	0	0	3	0	0	0	0	0		135
7.400	22.145	5	178	97	3	18	24	60	3	1	2	0	3	0	15	0	0	9	0	0	0	0	0	0	4	0	0	0	0	4	4
7.450	22.270	5	143	91	2	23	19	54	0	6	4	0	1	0	17	0	0	10	0	1	0	0	2	1	8	0	0	0	0	5	13
7.500	22.396	7	157	87	15	25	20	34	1	4	3	0	0	0	23	0	0	3	1	0	0	0	0	0	2	0	0	0	0	3	3
7.540	22.496	6	192	80	17	16	17	21	0	1	1	0	2	0	21	0	0	6	0	0	0	0	0	0	2	0	0	0	0	2	1
7.600	22.647	5	150	108	10	24	21	40	1	0	5	0	1	0	25	0	0	8	0	0	0	0	0	0	2	0	0	0	0	1	2
7.700	22.897	4	163	98	3	23	28	57	1	3	0	0	1	0	16	0	0	10	0	0	0	0	0	0	4	0	0	0	1	2	1
7.800	23.148	2	193	68	4	27	19	41	0	4	0	0	3	0	15	0	0	8	0	1	0	0	0	0	1	0	0	0	1	0	4
7.900	23.399	4	205	100	14	20	15	17	1	2	5	0	2	0	24	0	1	13	0	0	0	0	1	0	4	0	0	0	0	1	0
8.000	23.650	5	163	93	19	32	23	26	1	1	0	0	4	0	4	0	0	3	0	0	0	0	0	0	0	0	0	2	0	3	5
8.090	23.825	5	156	120	16	18	26	51	3	2	3	0	0	0	14	0	0	5	0	0	0	0	0	0	1	0	0	0	0	1	8
8.200	24.040	9	119	163	23	19	22	22	0	2	2	0	0	0	9	0	0	10	0	0	0	0	0	0	1	2	0	0	0	0	4
8.300	24.234	76	78	169	14	9	11	19	2	2	2	0	0	0	5	0	0	6	0	0	0	0	0	0	2	1	0	0	0	0	6
8.340	24.312	36	50	177	36	7	12	17	1	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	3	2	0	0	0	0		12
8.400	24.429	75	40	177	36	13	17	23	0	2	0	0	0	0	15	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	2
8.470	24.566	57	14	172	63	12	10	14	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0		28
8.500	24.624	90	37	177	46	8	12	30	0	1	1	0	1	0	1	0	0	3	0	0	0	0	0	0	0	0	0	0	0	1	3
8.540	24.702	68	21	161	48	5	11	30	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0		31
8.600	24.819	28	110	138	16	16	24	39	0	1	3	0	2	0	3	0	0	2	0	0	0	0	0	0	3	0	0	0	0	0	5
8.700	25.014	9	104	166	1	17	22	55	4	1	1	0	2	0	1	0	0	10	0	0	0	0	0	0	2	0	0	0	0	4	7
8.800	25.208	8	112	137	4	20	35	57	1	3	6	0	0	0	5	0	1	11	0	0	0	0	0	0	1	0	0	1	0	1	4
8.900	25.403	6	144	126	6	23	35	35	2	3	2	0	3	0	1	0	0	5	0	0	0	0	0	0	3	1	0	1	0	2	5
9.000	25.598	10	99	174	9	14	26	25	1	0	7	0	0	0	4	0	0	5	0	0	0	0	0	0	4	0	0	0	0	0	6
9.100	25.793	14	82	247	16	17	41	9	0	0	5	0	0	0	4	0	0	5	0	0	0	0	0	0	3	0	0	0	0	2	6
9.170	25.929	29	52	136	28	9	32	6	0	0	4	0	0	0	1	0	0	4	0	0	0	0	0	0	2	0	0	0	0	0		19
9.200	25.988	18	87	179	24	15	36	9	0	1	5	0	1	0	1	0	1	1	1	0	0	0	0	0	0	0	0	0	0	1	5
9.300	26.183	15	98	166	26	20	29	43	0	1	15	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	1
9.400	26.377	7	181	116	17	16	30	28	1	0	4	0	0	0	1	0	0	5	0	0	0	0	0	0	1	0	0	0	0	2	3
9.500	26.572	13	192	108	8	11	16	28	2	0	3	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	6
9.600	26.767	3	184	76	16	14	31	33	0	0	3	0	2	0	5	0	1	11	0	0	0	0	1	0	1	0	0	0	2	1	2
9.700	26.962	7	126	138	14	27	27	41	1	1	9	0	2	0	6	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	4
9.800	27.157	3	145	147	14	15	39	39	0	4	4	0	0	1	3	0	0	2	0	0	0	0	0	0	4	0	0	0	2	1	6
9.900	27.351	5	127	115	12	17	42	73	0	2	2	0	0	0	4	0	0	3	0	0	0	0	0	0	2	0	0	0	0	0	4
9.990	27.527	1	135	147	48	31	44	113	0	0	4	0	0	0	4	0	1	4	0	0	0	0	0	0	0	0	0	0	0	0		56
10.040	27.624	5	123	143	34	26	18	48	0	8	6	0	0	0	10	0	1	0	0	0	0	0	1	0	5	0	0	0	0	2	10
10.120	27.780	6	103	148	34	19	26	54	0	15	5	0	0	0	5	0	0	4	0	0	0	0	1	0	4	0	0	0	0	1	3
10.200	28.029	23	79	185	31	23	16	40	0	6	15	0	0	0	1	0	0	0	0	0	0	0	1	0	2	2	0	0	0	2	4
10.320	28.402	56	61	159	64	10	13	35	0	2	3	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	7
10.400	28.651	4	137	143	22	19	13	62	0	5	7	0	0	0	4	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	7
10.520	29.013	8	127	155	26	8	16	20	0	7	14	0	1	0	6	0	0	0	1	0	0	0	1	0	1	5	0	2	0	1	5
10.600	29.240	40	144	133	28	8	16	24	0	8	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	2	1	4	7
10.720	29.580	76	24	163	72	5	9	16	0	2	4	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	5
10.800	29.807	103	46	165	101	9	14	2	0	2	3	0	0	0	1	0	0	2	0	0	0	0	0	0	0	0	0	0	0	2	2
10.920	30.147	177	17	149	51	3	4	1	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	5
11.000	30.374	130	15	152	74	2	5	1	0	1	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0
11.120	30.714	89	48	147	46	8	9	20	1	0	4	0	0	0	2	0	0	8	0	0	0	0	1	0	0	0	0	0	0	1	4
11.200	30.941	19	125	136	11	8	21	44	0	2	4	0	0	0	7	0	0	3	0	0	0	0	1	0	2	0	0	0	0	1	8
11.320	31.281	2	139	171	22	16	23	46	0	5	11	0	0	0	0	0	0	1	0	0	0	0	1	0	1	0	0	0	0	2	8
11.400	31.508	8	134	129	26	16	26	33	0	0	7	0	3	0	6	0	0	2	0	0	0	0	0	0	0	0	0	0	0	3	7
11.520	31.848	9	116	126	22	15	27	45	0	0	7	0	0	0	4	0	1	2	0	0	0	0	1	0	2	0	0	0	0	0	0
11.600	32.075	3	151	150	20	18	23	24	0	1	12	0	0	0	4	0	0	0	0	0	0	0	1	0	2	0	0	0	0	1	1
11.720	32.415	4	174	139	32	13	11	46	0	5	3	0	1	0	6	0	0	0	0	0	0	0	2	0	1	0	0	0	0	3	1
11.800	32.651	4	156	107	17	13	15	48	0	2	12	0	2	0	5	0	0	2	0	0	0	0	0	2	0	0	0	0	0	3	6
11.920	33.014	26	91	187	50	8	16	27	0	0	3	0	0	0	8	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	4
12.000	33.256	16	59	135	39	14	41	41	0	0	3	0	1	0	3	0	1	6	0	1	0	0	0	0	0	0	0	0	0	0
12.120	33.619	2	75	134	16	14	32	74	0	0	3	0	3	0	6	0	3	14	0	1	0	0	0	0	0	0	0	0	0	0
12.200	33.876	4	131	184	30	20	44	70	0	0	9	0	1	0	10	0	0	11	0	0	0	0	0	0	6	0	0	0	0	0
12.320	34.286	13	110	200	39	37	62	77	0	0	5	0	0	0	0	0	0	6	0	0	0	0	0	0	1	0	0	0	0	0
12.400	34.559	6	116	138	39	34	61	82	0	0	0	0	0	0	7	0	0	13	0	0	0	0	0	0	0	0	0	0	0	0
12.520	34.968	4	176	147	31	26	55	80	0	0	6	0	1	4	22	0	3	5	0	0	0	0	0	0	5	0	0	0	0	0
12.600	35.241	2	138	93	32	18	28	48	0	1	0	0	0	2	12	0	0	5	0	0	0	0	0	0	2	0	0	0	0	0
12.720	35.679	18	127	95	39	10	28	18	4	1	2	0	0	1	1	0	0	14	0	0	0	0	0	0	4	0	0	0	0	0
12.800	35.996	62	90	174	63	12	30	4	0	0	3	0	0	0	0	0	0	10	0	0	0	0	0	0	0	0	0	0	0	0
12.920	36.473	67	64	200	60	16	41	14	0	0	4	0	2	1	0	0	0	7	0	0	0	0	0	0	0	0	0	0	0	0
12.950	36.592	26	67	151	29	29	24	47	0	1	9	0	0	2	2	0	0	4	2	0	0	0	0	0	0	0	0	0	0	1	7
13.000	36.790	8	76	73	16	15	34	137	0	0	4	0	1	4	8	0	0	7	0	4	0	0	0	0	0	0	0	0	0	0
13.030	36.910	9	125	91	26	14	23	80	0	2	3	0	0	3	8	0	0	2	0	0	0	0	1	0	1	0	0	0	0	1	6
13.040	36.949	9	115	103	24	14	21	89	0	0	12	0	3	3	16	0	0	10	0	2	0	0	0	0	0	0	0	0	0	0
13.120	37.267	1	129	104	23	9	16	140	4	0	11	0	1	3	27	0	0	3	0	8	0	0	0	0	0	0	0	0	0	0
13.150	37.386	1	104	106	35	8	26	76	6	2	0	0	1	2	28	0	0	5	0	0	0	0	0	0	1	0	0	0	0	0
13.200	37.585	1	171	98	44	11	28	43	6	9	3	0	3	0	24	0	0	5	0	6	0	0	0	0	0	0	0	0	0	0
13.230	37.704	7	162	105	46	5	16	27	2	5	1	0	0	1	17	0	0	6	0	0	0	0	0	1	2	0	0	0	0	1	3
13.260	37.823	0	162	106	37	10	18	27	3	6	0	0	1	0	18	0	0	2	0	0	1	0	0	0	0	0	0	0	0	0
13.270	37.863	6	159	137	27	4	21	26	3	9	2	0	0	0	19	0	0	6	0	0	0	0	0	0	1	0	0	0	0	0	9
13.320	38.061	4	138	84	42	6	11	14	1	1	3	0	2	0	17	0	0	14	0	0	0	0	0	0	0	0	0	0	0	0
13.360	38.220	7	142	112	59	4	27	9	0	9	0	0	0	1	19	0	0	5	0	0	0	0	2	0	0	0	0	0	0	0
13.400	38.346	19	163	96	56	19	33	5	2	3	0	0	0	0	8	0	0	16	0	0	0	0	0	0	4	0	1	0	0	0
13.440	38.472	22	132	104	53	12	23	5	1	0	0	0	0	2	2	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
13.470	38.566	30	111	139	33	22	18	4	0	3	0	0	0	2	1	0	0	10	0	0	0	0	0	0	0	0	0	0	0	1	4
13.520	38.723	58	117	187	47	12	41	2	0	0	2	0	1	1	0	0	2	3	0	0	0	0	0	0	0	0	0	0	0	0
13.560	38.849	48	63	180	116	18	25	1	0	0	0	0	0	1	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0
13.585	38.928	90	11	147	50	5	7	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
13.600	38.975	152	29	138	138	10	15	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13.640	39.101	190	9	125	83	14	5	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
13.680	39.227	196	8	120	73	2	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13.720	39.352	145	8	140	66	9	5	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13.760	39.478	128	16	146	50	1	4	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13.780	39.541	171	8	165	57	5	6	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
13.800	39.604	155	9	161	62	6	3	4	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13.840	39.730	167	28	256	106	18	16	6	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
13.880	39.856	83	14	187	76	14	5	3	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
13.900	39.919	77	15	246	63	20	12	12	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
13.920	39.982	43	19	237	47	12	16	7	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13.950	40.076	29	51	178	53	15	19	52	0	0	1	0	2	0	1	0	0	5	0	0	0	0	0	0	0	0	0	0	0	0
13.960	40.107	52	64	165	90	32	36	77	3	0	0	0	3	0	3	0	0	5	0	0	0	0	0	0	1	0	0	0	0	0
14.000	40.233	24	70	92	75	36	30	98	0	0	0	0	1	2	11	0	0	5	0	0	0	0	0	0	2	0	0	0	0	0
14.020	40.296	9	79	102	43	29	20	99	2	0	1	0	3	0	9	0	0	4	0	0	0	0	0	0	1	0	0	0	0	0
14.070	40.453	1	59	72	23	39	30	110	2	0	1	0	3	0	3	0	0	10	0	0	0	0	0	0	4	0	0	0	0	0
14.100	40.894	1	74	74	54	38	33	120	2	0	5	0	3	0	16	0	0	10	0	0	0	0	0	0	2	0	0	0	0	0
14.180	41.177	1	57	99	28	46	25	106	1	0	6	0	2	0	5	0	0	9	1	0	0	0	0	0	1	0	0	0	0	4	7
14.210	41.460	1	104	52	46	26	42	76	1	0	2	0	0	0	5	0	1	12	0	0	0	0	0	0	0	0	0	0	0	0
14.300	41.503	1	122	85	33	15	35	132	0	0	1	0	0	0	9	0	0	17	0	0	0	0	0	0	0	0	0	0	0	0
14.390	41.887	3	76	70	64	25	39	107	1	0	1	0	2	1	6	0	0	12	0	0	0	0	0	0	1	0	0	0	0	0
14.400	41.930	7	87	99	37	9	29	94	1	3	1	0	1	2	10	0	0	14	1	0	0	0	1	0	1	0	0	0	0	1	2
14.490	42.315	17	82	148	54	17	36	38	0	0	1	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0
14.500	42.357	27	91	171	63	23	9	35	0	1	4	0	0	1	0	0	0	6	0	0	0	0	0	0	0	0	0	0	0	2	2
14.590	42.742	8	123	112	41	17	32	67	0	0	1	0	1	1	2	0	0	14	0	0	0	0	0	0	0	0	0	0	0	0
14.600	42.785	10	119	109	79	14	19	55	0	0	5	0	0	0	0	0	0	10	0	0	0	0	0	0	0	1	0	0	0	2	16
14.690	42.998	3	99	92	79	6	31	90	2	0	0	0	0	0	6	0	0	17	0	0	0	0	0	0	3	0	0	0	0	0
14.700	43.169	7	117	100	47	10	24	77	3	2	3	0	0	1	3	0	0	7	0	0	0	0	0	0	2	0	0	0	0	0	5
14.750	43.212	7	133	100	85	6	21	87	0	5	5	0	0	0	4	1	0	2	0	0	0	0	0	0	0	0	0	0	0	0	14
14.790	43.719	1	145	69	91	16	30	54	3	0	0	0	0	1	14	0	0	9	0	0	0	0	0	0	0	0	0	0	0	0
14.800	44.261	2	142	88	42	8	12	70	2	2	4	0	0	1	15	0	0	18	0	0	0	0	2	0	0	0	0	0	0	4	2
14.900	44.802	3	88	85	35	10	29	91	2	0	4	0	0	4	9	0	0	4	0	0	0	0	2	0	2	0	0	0	0	0
15.000	45.073	13	103	113	39	11	44	55	0	0	2	0	1	2	1	0	0	10	0	0	0	0	2	0	1	0	0	0	0	0
15.100	45.344	8	109	42	47	9	36	93	0	0	2	0	2	2	1	0	2	9	0	0	0	0	0	0	0	0	0	0	0	0
15.150	45.614	4	101	41	43	5	23	91	1	1	4	0	7	2	10	0	2	12	0	0	0	0	0	0	2	0	0	0	0	0
15.200	46.048	3	102	82	54	11	21	103	2	3	2	0	4	1	11	0	2	10	0	0	0	0	3	0	1	0	0	0	0	0
15.250	46.427	1	97	75	65	25	16	87	1	4	1	1	7	0	9	0	0	12	0	0	0	0	0	0	0	0	0	0	0	0
15.300	46.589	1	78	69	87	6	31	114	2	3	1	1	3	1	11	0	0	15	0	0	0	0	0	0	3	0	0	0	0	0
15.330	46.971	4	71	108	50	4	11	84	2	1	0	2	2	1	7	0	0	16	0	0	0	0	0	0	1	0	0	0	0	0
15.400	46.999	1	99	113	26	5	19	82	8	2	0	1	2	2	10	0	0	17	0	0	0	0	0	0	5	0	0	0	0	0
15.430	47.250	1	80	82	42	8	14	71	3	5	2	0	8	0	15	0	1	20	0	0	0	0	0	0	4	0	0	0	0	0
15.500	47.362	1	79	101	59	11	24	71	8	6	1	1	6	0	12	0	0	17	0	0	0	0	0	0	6	0	0	0	0	0
15.505	47.529	7	135	78	41	9	10	49	2	3	2	2	2	2	26	0	1	9	1	1	0	0	0	0	2	1	0	0	0	1	11
15.550	47.641	9	120	105	63	11	34	32	3	2	5	1	3	1	29	0	1	8	0	0	0	0	0	0	1	0	0	0	0	0
15.570	48.031	21	101	134	34	10	15	34	2	1	1	0	1	4	33	0	1	7	0	0	0	0	0	1	1	0	0	0	0	1	12
15.600	48.087	15	92	146	64	8	43	3	0	0	4	2	5	7	15	0	0	3	0	0	0	0	0	0	1	0	0	0	0	0
15.620	48.309	36	106	123	41	14	29	2	0	1	7	5	2	2	0	0	0	7	0	0	0	0	0	0	0	0	0	0	0	2	9
15.690	48.644	51	53	174	73	12	24	0	0	0	3	2	1	1	0	0	0	3	0	0	0	0	0	0	0	0	0	0	1	0	7
15.700	48.700	24	54	168	83	8	37	1	0	1	0	4	1	1	1	0	0	11	0	0	0	0	0	0	1	0	0	0	0	0
15.740	49.202	63	33	130	100	3	16	1	0	1	1	1	1	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
15.800	49.608	65	21	215	74	5	30	2	1	0	2	2	0	0	0	0	0	13	0	0	0	0	0	0	0	0	0	0	0	0
15.810	49.759	98	32	166	72	2	12	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	1	10
15.900	49.982	117	48	151	54	5	11	3	0	0	0	6	0	1	7	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0
15.973	50.261	34	97	129	46	19	9	42	2	3	4	2	3	0	5	0	0	9	0	0	0	0	0	0	1	0	0	0	0	2	2
16.000	50.316	10	105	76	55	21	27	101	1	1	4	1	3	0	20	0	0	11	0	0	0	0	0	0	3	0	0	0	0	0
16.040	50.651	5	106	75	42	8	15	89	1	7	0	1	5	0	4	0	0	17	0	0	0	0	0	0	8	0	0	0	0	0
16.090	50.874	3	101	125	66	7	20	46	4	11	1	3	4	0	4	0	0	14	0	0	0	0	0	0	7	0	0	0	0	0
16.100	50.930	11	117	84	51	7	15	58	0	4	1	1	6	0	3	0	1	11	0	0	0	0	3	0	2	0	0	0	0	0	2
16.160	51.431	0	142	120	72	13	29	35	2	3	3	4	3	0	6	0	0	16	0	0	0	0	0	0	4	0	0	0	0	0
16.200	51.989	3	137	97	48	2	26	80	5	0	1	4	12	0	12	0	0	26	0	0	0	0	0	0	1	0	0	0	0	0
16.210	53.104	7	176	69	25	11	14	56	3	7	3	0	7	0	10	0	0	7	0	0	0	0	2	0	1	0	0	0	0	0	6
16.300	53.662	1	102	110	45	10	18	99	4	20	0	3	7	3	14	0	0	32	0	0	0	0	0	0	0	0	0	0	0	0
16.400	54.220	4	87	99	52	26	33	113	2	12	1	1	6	1	22	0	0	38	0	0	0	0	0	0	2	0	0	0	0	0
16.500	54.834	2	73	113	67	10	27	27	4	10	0	3	4	1	30	0	0	23	0	0	0	0	0	0	1	0	0	0	0	0
16.600	55.387	1	174	90	108	15	27	12	5	4	5	2	2	0	12	0	0	15	0	0	0	0	0	0	3	0	0	0	0	0
16.700	56.062	3	178	122	48	9	17	17	3	1	0	0	4	1	11	0	0	22	0	0	0	0	0	0	2	0	0	0	0	0
16.800	56.676	12	151	160	68	5	17	4	6	6	0	0	4	0	16	0	0	16	0	0	0	0	0	0	0	0	0	0	0	0
16.900	57.291	77	54	106	108	14	21	3	0	0	1	0	2	0	3	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0
16.990	57.905	5	77	63	35	4	13	3	0	0	0	0	2	0	10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
17.100	58.519	5	201	120	59	5	26	7	2	4	4	0	3	0	31	0	0	1	0	0	0	0	0	0	2	0	0	0	0	0
17.200	59.133	26	101	140	55	8	32	5	0	2	4	0	2	0	9	0	0	6	0	0	0	0	0	0	2	0	0	0	0	0
17.300	59.753	4	154	63	36	7	19	52	4	2	0	0	5	0	23	0	1	9	0	0	0	0	0	0	1	0	0	0	0	0
17.400		2	109	68	41	11	15	116	1	1	5	0	4	0	22	0	0	4	0	0	0	0	0	0	1	0	0	0	0	0
17.500		5	139	72	83	5	11	70	2	14	10	0	5	0	21	0	0	6	0	0	0	0	0	0	0	0	0	0	0	0
17.600		22	147	111	96	33	27	31	3	0	8	0	2	0	11	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0
17.700		9	172	96	31	5	17	50	5	0	10	0	3	0	11	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0