# Pompeani fire data from Copper Falls Lake, Great Lakes region - IMPD USCFL001
#-----------------------------------------------------------------------
#               World Data Service for Paleoclimatology, Boulder
#                                   and
#                      NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# Template Version 3.0
# Encoding: UTF-8
#
# NOTE: Please cite original publication, online resource and date accessed when using this data.
# If there is no publication information, please cite Investigator, title, online resource and date accessed.
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/28834
#      Description: NOAA Landing Page
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/northamerica/uscfl001.txt
#      Description: NOAA location of this template
#
# Original_Source_URL: https://pubs.acs.org/doi/full/10.1021/acs.est.8b01523
#      Description: Environmental Scicence and Technology
#
# Archive: Fire History
#
# Dataset_DOI:
#
# Parameter_Keywords:  Michigan, Keweenaw Peninsula, Lake Superior, Holocene, Mercury, Carbon, Nitrogen, Fire history, Paleolimnology
#---------------------------------------
# Contribution_Date
#    Date: 2020-01-15
#---------------------------------------
# File_Last_Modified_Date
#    Date: 2020-01-15
#---------------------------------------
# Title
#    Study_Name: Pompeani fire data from Copper Falls Lake, Great Lakes region - IMPD USCFL001
#---------------------------------------
# Investigators
#      Investigators: Pompeani, David; Cooke, Colin; Abbott, Mark; Drevnick, Paul
#---------------------------------------
# Description_Notes_and_Keywords
#        Description: 
# Contact person:	David Pompeani
# Sample storage location:	University of Pittsburgh, Department of Geology and Environmental Science
# Entity name:	Copper Falls Lake
# Sampling date:	2011
# Lake surface area (km^2):	0.3
# Lake watershed area (not including surface area)(km^2):	0.4
# Location description:	Keweenaw Peninsula
# State/Province:	Michigan
# Core Diameter(cm):	6.6
# Water depth(cm):	300
# Sampling device:	1 cm^3 piston sampler
# Instrumentation:	binocular microscope
# Analysis method:	Sediment subsamples (1 cm^3) for charcoal analysis were measured continuously down core at 1-cm intervals. Prior to counting, the samples were treated with 7% H2O2 overnight at 60 °C in 20 mL HDPE scintillation vials, shaken briefly by hand, and sieved with tap water at 125 µm to isolate the larger charcoal particulates. Charcoal concentration is defined as >125 µm charcoal counts per cm^3 of wet sediment. Charcoal accumulation rates (CHAR) were calculated by multiplying charcoal concentration by sedimentation rate. CHAR background levels were estimated using a 500-year moving average window.
#         Provided Keywords: Michigan, Keweenaw Peninsula, Lake Superior, Holocene, Mercury, Carbon, Nitrogen, Fire
#---------------------------------------
# Publication
# Authors: David P. Pompeani, Colin A. Cooke, Mark B. Abbott, Paul E. Drevnick
# Published_Date_or_Year: 2018
# Published_Title: Climate, Fire, and Vegetation Mediate Mercury Delivery to Midlatitude Lakes over the Holocene
# Journal_Name: Environmental Science and Technology
# Volume: 52
# Edition: 
# Issue: 15
# Pages: 8157-8164
# Report_Number: 
# DOI: https://doi.org/10.1021/acs.est.8b01523
# Online_Resource: 
# Full_Citation: 
# Abstract: The rise in mercury concentrations in lake sediment deposited over the last ~150 years is widely recognized to have resulted from human activity. However, few studies in the Great Lakes region have used lake sediment to reconstruct atmospheric mercury deposition on millennial time scales. Here we present a 9000-year mercury record from sediment in Copper Falls; a small closed-basin lake on the Keweenaw Peninsula. Prior to abrupt increases in the 19th and 20th centuries, mercury remains at relatively low concentrations for the last 9000 years. Higher mercury fluxes in the early Holocene (3.4 ± 1.1 µg m–2 yr–1) are attributed to drier conditions and greater forest fire occurrence. The gradual decline in mercury flux over the middle to late Holocene (1.9 ± 0.2 µg m–2 yr–1) is interpreted to reflect a transition to wetter conditions, which reduced forest fires, and promoted the development of soil organic matter and deciduous forests that sequestered natural sources of mercury. The Copper Falls Lake record highlights the sensitivity of watersheds to changes in mercury inputs from both human and natural forcings, and provides millennial-scale context for recent mercury contamination that will aid in establishing baseline values for restoration efforts.
#---------------------------------------
# Funding_Agency
#    Funding_Agency_Name: Geological Society of America
#    Grant: Graduate Student Research Award
#---------------------------------------
# Site_Information
# Site_Name: Copper Falls Lake
# Location: Keweenaw Peninsula, Michigan
# Country: United States
# Northernmost_Latitude: 47.417
# Southernmost_Latitude: 47.417
# Easternmost_Longitude: -88.192
# Westernmost_Longitude: -88.192
# Elevation: 392
#---------------------------------------
# Data_Collection
#   Collection_Name: USCFL001 CHAR
#   First_Year: 12002
#   Last_Year: -60
#   Time_Unit: cal yr BP
#   Core_Length: 
#   Notes: Copper Falls Lake cores A10 and B10
#---------------------------------------
# Chronology_Information 
# Chronology: 
# 
# Paste Measured Radiocarbon Ages into a table below.  Ages from other sources can be included using the depth, calib.14C, and notes columns	
# ID	date type	
# C14_age	conventional radiocarbon date, years before 1950AD  	
# cal_BP	radiometric age in calendar years before 1950AD	
# error	one standard deviation error in years	
# depth	core depth in centimeters	
# thickness	thickness of sample in cm	
# 
# ID	C14_age	cal_BP	error	depth	thickness	
# Pb-210	NaN  -59	1	0.25	0.5	
# Pb-210	NaN  -58	1	0.75	0.5	
# Pb-210	NaN  -57	1	1.25	0.5	
# Pb-210	NaN  -56	1	1.75	0.5	
# Pb-210	NaN  -55	1	2.25	0.5	
# Pb-210	NaN  -53	1	2.75	0.5	
# Pb-210	NaN  -52	1	3.25	0.5	
# Pb-210	NaN  -51	1	3.75	0.5	
# Pb-210	NaN  -50	1	4.25	0.5	
# Pb-210	NaN  -46	1	4.75	0.5	
# Pb-210	NaN  -43	1	5.75	0.5	
# Pb-210	NaN  -39	1	6.75	0.5	
# Pb-210	NaN  -34	1	7.75	0.5	
# Pb-210	NaN  -30	1	8.75	0.5	
# Pb-210	NaN  -23	2	9.75	0.5	
# Pb-210	NaN  -18	2	11.25	0.5	
# Pb-210	NaN  -13	2	12.25	0.5	
# Pb-210	NaN  -4	2	13.25	0.5	
# Pb-210	NaN  0	2	14.25	0.5	
# Pb-210	NaN  9	3	15	0.5	
# Pb-210	NaN  22	3	15.75	0.5	
# Pb-210	NaN  32	4	17.25	0.5	
# Pb-210	NaN  70	8	18.25	0.5	
# C-14	1090	NaN  15	31.25	1	
# C-14	1260	NaN  20	58.5	1	
# C-14	3435	NaN  20	106.5	1	
# C-14	4435	NaN  20	157.5	1	
# C-14	4550	NaN  20	171.5	1	
# C-14	5110	NaN  70	188.5	1	
# C-14	5755	NaN  40	226.5	1	
# C-14	6455	NaN  20	269.5	1	
# C-14	7260	NaN  20	308	1	
# C-14	8125	NaN  20	355.5	1	
# C-14	8745	NaN  25	405.5	1	
# C-14	10255	NaN  25	436.5	1	
# 
#---------------------------------------
# Variables
# Data variables follow that are preceded by "##" in columns one and two.
# Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data)
## depth-cm-top	depth at sample end,,,centimeter,,fire history;paleolimnology,,,N,
## depth-cm-bottom	depth at sample start,,,centimeter,,fire history;paleolimnology,,,N,
## age-calBP-best	age,,,calendar year before present,,fire history;paleolimnology,,,N,best age estimate of sample; CLAM output
## vol-wetsed	volume,wet sediment,,cubic centimeter,,fire history;paleolimnology,,,N,used for charcoal counts
## char>125µm	charcoal,,,count,,fire history;paleolimnology,,,N,> 125 µm
#------------------------
# Data
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing_Values: 
depth-cm-top	depth-cm-bottom	age-calBP-best	vol-wetsed	char>125µm	
0.00	0.50	-60	1.0	0.0	
0.50	1.00	-59	1.0	2.0	
1.00	1.50	-57	1.0	0.0	
1.50	2.00	-56	1.0	0.0	
2.00	2.50	-55	1.0	1.0	
2.50	3.00	-54	1.0	1.0	
3.00	3.50	-52	1.0	0.0	
3.50	4.00	-51	1.0	0.0	
4.00	4.50	-49	1.0	0.0	
4.50	5.00	-48	1.0	1.0	
5.00	5.50	-46	1.0	1.0	
5.50	6.00	-45	1.0	1.0	
6.00	6.50	-43	1.0	3.0	
6.50	7.00	-42	1.0	1.0	
7.00	7.50	-40	1.0	7.0	
7.50	8.00	-38	1.0	1.0	
8.00	8.50	-36	1.0	4.0	
8.50	9.00	-34	1.0	1.0	
9.00	9.50	-32	1.0	5.0	
9.50	10.00	-29	1.0	5.0	
10.25	10.75	-25	1.0	11.0	
11.00	11.50	-20	1.0	1.0	
11.50	12.00	-16	1.0	7.0	
12.00	12.50	-11	1.0	0.0	
12.50	13.00	-6	1.0	1.0	
13.00	13.50	-1	1.0	0.0	
13.50	14.00	6	1.0	1.0	
14.00	14.50	12	1.0	2.0	
14.75	15.25	25	1.0	2.0	
15.50	16.00	39	1.0	2.0	
16.00	16.50	48	1.0	1.0	
16.50	17.00	60	1.0	2.0	
17.00	17.50	71	1.0	0.0	
17.50	18.00	84	1.0	2.0	
18.00	18.50	97	1.0	0.0	
18.50	19.00	112	1.0	8.0	
19.00	19.50	127	1.0	4.0	
19.50	20.00	143	1.0	2.0	
20.00	20.50	159	1.0	6.0	
20.50	21.00	176	1.0	4.0	
21.00	21.50	193	1.0	3.0	
21.50	22.00	211	1.0	2.0	
22.00	22.50	229	1.0	4.0	
22.50	23.00	248	1.0	3.0	
23.00	23.50	267	1.0	6.0	
23.50	24.00	287	1.0	4.0	
24.00	24.50	307	1.0	2.0	
24.50	25.00	327	1.0	4.0	
25.00	25.50	347	1.0	3.0	
25.50	26.00	368	1.0	4.0	
26.00	26.50	388	1.0	2.0	
26.50	27.00	409	1.0	4.0	
27.00	27.50	429	1.0	2.0	
27.50	28.00	450	1.0	1.0	
28.00	28.50	470	1.0	2.0	
28.50	29.00	491	1.0	11.0	
29.00	29.50	511	1.0	11.0	
29.50	30.00	531	1.0	18.0	
30.00	30.50	551	1.0	13.0	
30.50	31.00	571	1.0	17.0	
31.00	31.50	590	1.0	11.0	
31.50	32.00	609	1.0	15.0	
32.00	32.50	627	1.0	20.0	
32.50	33.00	645	1.0	8.0	
33.00	33.50	663	1.0	15.0	
33.50	34.00	681	1.0	9.0	
34.00	34.50	698	1.0	11.0	
34.50	35.00	715	1.0	12.0	
35.00	35.50	732	1.0	18.0	
35.50	36.00	748	1.0	11.0	
36.00	36.50	764	1.0	17.0	
36.50	37.00	780	1.0	19.0	
37.00	37.50	796	1.0	19.0	
37.50	38.00	811	1.0	17.0	
38.00	38.50	826	1.0	16.0	
38.50	39.00	841	1.0	14.0	
39.00	39.50	856	1.0	16.0	
39.50	40.00	871	1.0	6.0	
40.00	40.50	885	1.0	17.0	
40.75	41.25	906	1.0	20.0	
41.50	42.00	927	1.0	4.0	
42.00	42.50	941	1.0	6.0	
42.50	43.00	955	1.0	4.0	
43.00	43.50	969	1.0	0.0	
43.50	44.00	983	1.0	1.0	
44.00	44.50	996	1.0	0.0	
44.50	45.00	1010	1.0	2.0	
45.00	45.50	1023	1.0	3.0	
45.50	46.00	1037	1.0	3.0	
46.00	46.50	1050	1.0	1.0	
46.50	47.00	1064	1.0	2.0	
47.00	47.50	1077	1.0	2.0	
47.50	48.00	1091	1.0	1.0	
48.00	48.50	1104	1.0	0.0	
48.50	49.00	1118	1.0	0.0	
49.00	49.50	1131	1.0	0.0	
49.50	50.00	1145	1.0	1.0	
50.00	52.00	1179	1.0	3.0	
52.00	53.00	1221	1.0	1.0	
53.00	54.00	1250	1.0	2.0	
54.00	55.00	1280	1.0	1.0	
55.00	56.00	1310	1.0	1.0	
56.00	57.00	1340	1.0	1.0	
57.00	58.00	1372	1.0	2.0	
58.00	59.00	1406	1.0	0.0	
59.00	60.00	1440	1.0	4.0	
60.00	61.00	1475	1.0	2.0	
61.00	62.00	1511	1.0	2.0	
62.00	63.00	1549	1.0	3.0	
63.00	64.00	1588	1.0	3.0	
64.00	65.00	1627	1.0	2.0	
65.00	66.00	1667	1.0	1.0	
66.00	67.00	1709	1.0	0.0	
67.00	68.00	1751	1.0	0.0	
68.00	69.00	1793	1.0	2.0	
69.00	70.00	1836	1.0	2.0	
70.00	71.00	1881	1.0	0.0	
71.00	72.00	1926	1.0	2.0	
72.00	73.00	1971	1.0	6.0	
73.00	74.00	2017	1.0	0.0	
74.00	75.00	2064	1.0	1.0	
75.00	76.00	2111	1.0	4.0	
76.00	77.00	2158	1.0	1.0	
77.00	78.00	2206	1.0	0.0	
78.00	79.00	2254	1.0	1.0	
79.00	80.00	2303	1.0	2.0	
80.00	81.00	2352	1.0	3.0	
81.00	82.00	2401	1.0	4.0	
82.00	83.00	2451	1.0	1.0	
83.00	84.00	2501	1.0	2.0	
84.00	85.00	2550	1.0	2.0	
85.00	86.00	2600	1.0	2.0	
86.00	87.00	2650	1.0	2.0	
87.00	88.00	2700	1.0	0.0	
88.00	89.00	2750	1.0	2.0	
89.00	90.00	2799	1.0	1.0	
90.00	91.00	2849	1.0	3.0	
91.00	92.00	2898	1.0	0.0	
92.00	93.00	2947	1.0	3.0	
93.00	94.00	2996	1.0	2.0	
94.00	95.00	3045	1.0	3.0	
95.00	96.00	3094	1.0	0.0	
96.00	97.00	3142	1.0	2.0	
97.00	98.00	3190	1.0	1.0	
98.00	99.00	3237	1.0	3.0	
99.00	100.00	3284	1.0	2.0	
100.00	101.00	3330	1.0	3.0	
101.00	102.00	3375	1.0	5.0	
102.00	103.00	3420	1.0	3.0	
103.00	104.00	3465	1.0	0.0	
104.00	105.00	3509	1.0	0.0	
105.00	106.00	3552	1.0	2.0	
106.00	107.00	3594	1.0	1.0	
107.00	108.00	3635	1.0	1.0	
108.00	109.00	3676	1.0	4.0	
109.00	110.00	3716	1.0	1.0	
110.00	111.00	3755	1.0	1.0	
111.00	112.00	3793	1.0	3.0	
112.00	113.00	3830	1.0	1.0	
113.00	114.00	3867	1.0	2.0	
114.00	115.00	3903	1.0	1.0	
115.00	116.00	3939	1.0	2.0	
116.00	117.00	3974	1.0	1.0	
117.00	118.00	4008	1.0	2.0	
118.00	119.00	4041	1.0	0.0	
119.00	120.00	4074	1.0	3.0	
120.00	121.00	4106	1.0	6.0	
121.00	122.00	4138	1.0	3.0	
122.00	123.00	4169	1.0	3.0	
123.00	124.00	4200	1.0	1.0	
124.00	125.00	4229	1.0	8.0	
125.00	126.00	4258	1.0	5.0	
126.00	127.00	4287	1.0	5.0	
127.00	128.00	4316	1.0	4.0	
128.00	129.00	4344	1.0	0.0	
129.00	130.00	4371	1.0	0.0	
130.00	131.00	4398	1.0	2.0	
131.00	132.00	4425	1.0	3.0	
132.00	133.00	4451	1.0	0.0	
133.00	134.00	4476	1.0	2.0	
134.00	135.00	4501	1.0	0.0	
135.00	136.00	4526	1.0	1.0	
136.00	137.00	4550	1.0	3.0	
137.00	138.00	4575	1.0	0.0	
138.00	139.00	4598	1.0	3.0	
139.00	140.00	4622	1.0	1.0	
140.00	141.00	4645	1.0	2.0	
141.00	142.00	4668	1.0	2.0	
142.00	143.00	4691	1.0	1.0	
143.00	144.00	4713	1.0	1.0	
144.00	145.00	4735	1.0	4.0	
145.00	146.00	4757	1.0	3.0	
146.00	147.00	4778	1.0	2.0	
147.00	148.00	4800	1.0	6.0	
148.00	149.00	4821	1.0	1.0	
149.00	150.00	4842	1.0	6.0	
150.00	151.00	4863	1.0	1.0	
151.00	152.00	4883	1.0	2.0	
152.00	153.00	4904	1.0	2.0	
153.00	154.00	4925	1.0	9.0	
154.00	155.00	4945	1.0	12.0	
155.00	156.00	4965	1.0	8.0	
156.00	157.00	4986	1.0	10.0	
157.00	158.00	5006	1.0	19.0	
158.00	159.00	5026	1.0	7.0	
159.00	160.00	5046	1.0	7.0	
160.00	161.00	5067	1.0	5.0	
161.00	162.00	5087	1.0	1.0	
162.00	163.00	5107	1.0	3.0	
163.00	164.00	5128	1.0	2.0	
164.00	165.00	5148	1.0	3.0	
165.00	166.00	5169	1.0	3.0	
166.00	167.00	5191	1.0	6.0	
167.00	168.00	5212	1.0	6.0	
168.00	169.00	5234	1.0	3.0	
169.00	170.00	5256	1.0	2.0	
170.00	171.00	5278	1.0	1.0	
171.00	172.00	5301	1.0	5.0	
172.00	173.00	5324	1.0	3.0	
173.00	174.00	5347	1.0	2.0	
174.00	175.00	5370	1.0	6.0	
175.00	176.00	5394	1.0	1.0	
176.00	177.00	5419	1.0	1.0	
177.00	178.00	5443	1.0	1.0	
178.00	179.00	5468	1.0	5.0	
179.00	180.00	5493	1.0	4.0	
180.00	181.00	5518	1.0	2.0	
181.00	182.00	5543	1.0	1.0	
182.00	183.00	5568	1.0	0.0	
183.00	184.00	5593	1.0	4.0	
184.00	185.00	5618	1.0	3.0	
185.00	186.00	5643	1.0	2.0	
186.00	187.00	5668	1.0	3.0	
187.00	188.00	5693	1.0	3.0	
188.00	189.00	5718	1.0	1.0	
189.00	190.00	5743	1.0	4.0	
190.00	191.00	5768	1.0	15.0	
191.00	192.00	5792	1.0	4.0	
192.00	193.00	5816	1.0	8.0	
193.00	194.00	5840	1.0	5.0	
194.00	195.00	5864	1.0	9.0	
195.00	196.00	5888	1.0	9.0	
196.00	197.00	5912	1.0	6.0	
197.00	198.00	5935	1.0	5.0	
198.00	199.00	5958	1.0	7.0	
199.00	200.00	5981	1.0	10.0	
200.00	201.00	6004	1.0	8.0	
201.00	202.00	6027	1.0	4.0	
202.00	203.00	6050	1.0	8.0	
203.00	204.00	6073	1.0	18.0	
204.00	205.00	6095	1.0	13.0	
205.00	206.00	6117	1.0	18.0	
206.00	207.00	6140	1.0	11.0	
207.00	208.00	6162	1.0	3.0	
208.00	209.00	6183	1.0	0.0	
209.00	210.00	6205	1.0	0.0	
210.00	211.00	6227	1.0	3.0	
211.00	212.00	6248	1.0	5.0	
212.00	213.00	6269	1.0	10.0	
213.00	214.00	6291	1.0	1.0	
214.00	215.00	6312	1.0	0.0	
215.00	216.00	6333	1.0	2.0	
216.00	217.00	6354	1.0	4.0	
217.00	218.00	6375	1.0	2.0	
218.00	219.00	6395	1.0	2.0	
219.00	220.00	6416	1.0	6.0	
220.00	221.00	6437	1.0	1.0	
221.00	222.00	6457	1.0	5.0	
222.00	223.00	6478	1.0	4.0	
223.00	224.00	6498	1.0	2.0	
224.00	225.00	6518	1.0	6.0	
225.00	226.00	6538	1.0	5.0	
226.00	227.00	6558	1.0	6.0	
227.00	228.00	6578	1.0	6.0	
228.00	229.00	6598	1.0	12.0	
229.00	230.00	6618	1.0	8.0	
230.00	231.00	6638	1.0	5.0	
231.00	232.00	6657	1.0	3.0	
232.00	233.00	6677	1.0	3.0	
233.00	234.00	6697	1.0	2.0	
234.00	235.00	6716	1.0	5.0	
235.00	236.00	6735	1.0	5.0	
236.00	237.00	6755	1.0	1.0	
237.00	238.00	6774	1.0	4.0	
238.00	239.00	6793	1.0	2.0	
239.00	240.00	6812	1.0	3.0	
240.00	241.00	6831	1.0	3.0	
241.00	242.00	6851	1.0	3.0	
242.00	243.00	6870	1.0	3.0	
243.00	244.00	6889	1.0	5.0	
244.00	245.00	6907	1.0	1.0	
245.00	246.00	6926	1.0	7.0	
246.00	247.00	6945	1.0	2.0	
247.00	248.00	6964	1.0	0.0	
248.00	249.00	6983	1.0	1.0	
249.00	250.00	7001	1.0	3.0	
250.00	251.00	7020	1.0	4.0	
251.00	252.00	7039	1.0	4.0	
252.00	253.00	7057	1.0	1.0	
253.00	254.00	7076	1.0	0.0	
254.00	255.00	7094	1.0	7.0	
255.00	256.00	7113	1.0	1.0	
256.00	257.00	7132	1.0	1.0	
257.00	258.00	7150	1.0	2.0	
258.00	259.00	7169	1.0	4.0	
259.00	260.00	7187	1.0	11.0	
260.00	261.00	7205	1.0	0.0	
261.00	262.00	7224	1.0	1.0	
262.00	263.00	7242	1.0	2.0	
263.00	264.00	7261	1.0	1.0	
264.00	265.00	7279	1.0	1.0	
265.00	266.00	7298	1.0	4.0	
266.00	267.00	7316	1.0	3.0	
267.00	268.00	7334	1.0	0.0	
268.00	269.00	7353	1.0	3.0	
269.00	270.00	7371	1.0	1.0	
270.00	271.00	7390	1.0	4.0	
271.00	272.00	7408	1.0	1.0	
272.00	273.00	7427	1.0	3.0	
273.00	274.00	7445	1.0	1.0	
274.00	275.00	7464	1.0	1.0	
275.00	276.00	7482	1.0	3.0	
276.00	277.00	7501	1.0	4.0	
277.00	278.00	7519	1.0	3.0	
278.00	279.00	7538	1.0	1.0	
279.00	280.00	7556	1.0	1.0	
280.00	281.00	7575	1.0	3.0	
281.00	282.00	7594	1.0	1.0	
282.00	283.00	7612	1.0	2.0	
283.00	284.00	7631	1.0	7.0	
284.00	285.00	7650	1.0	2.0	
285.00	286.00	7668	1.0	1.0	
286.00	287.00	7687	1.0	9.0	
287.00	288.00	7706	1.0	4.0	
288.00	289.00	7725	1.0	7.0	
289.00	290.00	7744	1.0	4.0	
290.00	291.00	7763	1.0	4.0	
291.00	292.00	7782	1.0	4.0	
292.00	293.00	7801	1.0	1.0	
293.00	294.00	7820	1.0	2.0	
294.00	295.00	7839	1.0	3.0	
295.00	296.00	7859	1.0	8.0	
296.00	297.00	7878	1.0	6.0	
297.00	298.00	7897	1.0	5.0	
298.00	299.00	7917	1.0	2.0	
299.00	300.00	7936	1.0	3.0	
300.00	301.00	7956	1.0	5.0	
301.00	302.00	7975	1.0	8.0	
302.00	303.00	7995	1.0	5.0	
303.00	304.00	8015	1.0	5.0	
304.00	305.00	8034	1.0	2.0	
305.00	306.00	8054	1.0	1.0	
306.00	307.00	8074	1.0	1.0	
307.00	308.00	8094	1.0	3.0	
308.00	309.00	8115	1.0	2.0	
309.00	310.00	8135	1.0	6.0	
310.00	311.00	8155	1.0	2.0	
311.00	312.00	8175	1.0	5.0	
312.00	313.00	8196	1.0	2.0	
313.00	314.00	8216	1.0	1.0	
314.00	315.00	8237	1.0	2.0	
315.00	316.00	8257	1.0	1.0	
316.00	317.00	8278	1.0	4.0	
317.00	318.00	8298	1.0	7.0	
318.00	319.00	8319	1.0	6.0	
319.00	320.00	8339	1.0	12.0	
320.00	321.00	8359	1.0	5.0	
321.00	322.00	8380	1.0	2.0	
322.00	323.00	8400	1.0	4.0	
323.00	324.00	8421	1.0	26.0	
324.00	325.00	8441	1.0	27.0	
325.00	326.00	8461	1.0	27.0	
326.00	327.00	8481	1.0	21.0	
327.00	328.00	8501	1.0	22.0	
328.00	329.00	8521	1.0	12.0	
329.00	330.00	8541	1.0	29.0	
330.00	331.00	8561	1.0	24.0	
331.00	332.00	8580	1.0	11.0	
332.00	333.00	8600	1.0	10.0	
333.00	334.00	8619	1.0	9.0	
334.00	335.00	8638	1.0	6.0	
335.00	336.00	8657	1.0	6.0	
336.00	337.00	8676	1.0	3.0	
337.00	338.00	8694	1.0	9.0	
338.00	339.00	8713	1.0	4.0	
339.00	340.00	8731	1.0	12.0	
340.00	341.00	8749	1.0	10.0	
341.00	342.00	8766	1.0	2.0	
342.00	343.00	8783	1.0	3.0	
343.00	344.00	8800	1.0	1.0	
344.00	345.00	8817	1.0	3.0	
345.00	346.00	8834	1.0	1.0	
346.00	347.00	8851	1.0	4.0	
347.00	348.00	8867	1.0	4.0	
348.00	349.00	8883	1.0	4.0	
349.00	350.00	8899	1.0	8.0	
350.00	351.00	8914	1.0	4.0	
351.00	352.00	8929	1.0	3.0	
352.00	353.00	8944	1.0	10.0	
353.00	354.00	8958	1.0	5.0	
354.00	355.00	8972	1.0	3.0	
355.00	356.00	8985	1.0	3.0	
356.00	357.00	8998	1.0	4.0	
357.00	358.00	9011	1.0	3.0	
358.00	359.00	9024	1.0	5.0	
359.00	360.00	9036	1.0	2.0	
360.00	361.00	9048	1.0	10.0	
361.00	362.00	9060	1.0	1.0	
362.00	363.00	9072	1.0	7.0	
363.00	364.00	9084	1.0	3.0	
364.00	365.00	9095	1.0	6.0	
365.00	366.00	9107	1.0	10.0	
366.00	367.00	9119	1.0	6.0	
367.00	368.00	9130	1.0	13.0	
368.00	369.00	9142	1.0	11.0	
369.00	370.00	9154	1.0	10.0	
370.00	371.00	9166	1.0	8.0	
371.00	372.00	9179	1.0	5.0	
372.00	373.00	9191	1.0	4.0	
373.00	374.00	9204	1.0	3.0	
374.00	375.00	9218	1.0	6.0	
375.00	376.00	9232	1.0	2.0	
376.00	377.00	9246	1.0	8.0	
377.00	378.00	9260	1.0	5.0	
378.00	379.00	9275	1.0	10.0	
379.00	380.00	9290	1.0	12.0	
380.00	381.00	9306	1.0	6.0	
381.00	382.00	9323	1.0	6.0	
382.00	383.00	9341	1.0	7.0	
383.00	384.00	9359	1.0	8.0	
384.00	385.00	9377	1.0	4.0	
385.00	386.00	9397	1.0	4.0	
386.00	387.00	9417	1.0	12.0	
387.00	388.00	9439	1.0	4.0	
388.00	389.00	9461	1.0	9.0	
389.00	390.00	9483	1.0	11.0	
390.00	391.00	9507	1.0	2.0	
391.00	392.00	9532	1.0	2.0	
392.00	393.00	9558	1.0	2.0	
393.00	394.00	9585	1.0	8.0	
394.00	395.00	9613	1.0	4.0	
395.00	396.00	9643	1.0	18.0	
396.00	397.00	9673	1.0	10.0	
397.00	398.00	9704	1.0	2.0	
398.00	399.00	9738	1.0	4.0	
399.00	400.00	9772	1.0	2.0	
400.00	401.00	9807	1.0	3.0	
401.00	402.00	9845	1.0	36.0	
402.00	403.00	9883	1.0	25.0	
403.00	404.00	9922	1.0	18.0	
404.00	405.00	9964	1.0	6.0	
405.00	406.00	10007	1.0	4.0	
406.00	407.00	10051	1.0	3.0	
407.00	408.00	10097	1.0	15.0	
408.00	409.00	10144	1.0	45.0	
409.00	410.00	10194	1.0	3.0	
410.00	411.00	10244	1.0	2.0	
411.00	412.00	10295	1.0	4.0	
412.00	413.00	10348	1.0	4.0	
413.00	414.00	10402	1.0	5.0	
414.00	415.00	10457	1.0	5.0	
415.00	416.00	10514	1.0	4.0	
416.00	417.00	10572	1.0	3.0	
417.00	418.00	10630	1.0	4.0	
418.00	419.00	10689	1.0	11.0	
419.00	420.00	10749	1.0	11.0	
420.00	421.00	10811	1.0	7.0	
421.00	422.00	10873	1.0	1.0	
422.00	423.00	10936	1.0	8.0	
423.00	424.00	10999	1.0	4.0	
424.00	425.00	11063	1.0	11.0	
425.00	426.00	11128	1.0	10.0	
426.00	427.00	11193	1.0	5.0	
427.00	428.00	11259	1.0	6.0	
428.00	429.00	11326	1.0	3.0	
429.00	430.00	11392	1.0	2.0	
430.00	431.00	11459	1.0	3.0	
431.00	432.00	11526	1.0	19.0	
432.00	433.00	11594	1.0