Citation:

PANGAEA.923731

Name: Litter abundance and acculmulation rates on 24 beaches of 8 Mediterranean islands (2017-2019)
Published: 2020-10-07
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Beach; marine litter; Mediterranean islands; Microplastics

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Published: 2020-10-07 • DOI registered: 2020-12-14

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Keyword(s):

Beach; marine litter; Mediterranean islands; Microplastics

Supplement to:

Grelaud, Michaël; Ziveri, Patrizia (accepted): The generation of marine litter in Mediterranean island beaches as an effect of tourism and its mitigation. Scientific Reports, https://doi.org/10.1038/s41598-020-77225-5

Project(s):

Effect of seasonal variation of waste generated on Mediterranean islands as an effect of tourism (BLUEISLANDS)

Invest. of new marine biol. resources in deep waters of Ionian and Aegean Seas (INTERREG)

Coverage:

Median Latitude: 37.051775 * Median Longitude: 20.701925 * South-bound Latitude: 34.709100 * West-bound Longitude: 2.454400 * North-bound Latitude: 44.824100 * East-bound Longitude: 34.054600

Date/Time Start: 2017-02-26T00:00:00 * Date/Time End: 2019-10-02T00:00:00

Event(s):

CRT_L_3 * Latitude Start: 35.331000 * Longitude Start: 25.239100 * Latitude End: 35.331400 * Longitude End: 25.240100 * Date/Time: 2017-03-23T00:00:00 * Location: Crete, Greece * Method/Device: Litter Survey (LITTER) * Comment: Local beach (used mainly by local people)

CRT_L_5 * Latitude Start: 35.331000 * Longitude Start: 25.239100 * Latitude End: 35.331400 * Longitude End: 25.240100 * Date/Time: 2017-05-25T00:00:00 * Location: Crete, Greece * Method/Device: Litter Survey (LITTER) * Comment: Local beach (used mainly by local people)

CRT_L_6 * Latitude Start: 35.331000 * Longitude Start: 25.239100 * Latitude End: 35.331400 * Longitude End: 25.240100 * Date/Time: 2017-06-23T00:00:00 * Location: Crete, Greece * Method/Device: Litter Survey (LITTER) * Comment: Local beach (used mainly by local people)

Comment:

Surface area was measured with the “Polygon” tool from Google Earth© between the starting and ending coordinates, the back of the beach and the waterline.

Litter density per 100 m was calculated as litter count * 100 / distance.

Litter accumulation rates were either calculated as (1) litter count * 1000 / surface / days elapsed since the last cleaning, or (2) litter count * 1000 / surface / days elapsed since the last monitoring when no cleaning was performed, or (3) litter count * 1000 / surface / days elapsed since the last monitoring for Plastic / polystyrene pieces 0.5 and Pellets.

#999.999 = accumulation rate not calculated

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event		Grelaud, Michaël
2	Latitude of event	Latitude		Grelaud, Michaël
3	Longitude of event	Longitude		Grelaud, Michaël
4	Latitude of event 2	Latitude 2		Grelaud, Michaël
5	Longitude of event 2	Longitude 2		Grelaud, Michaël
6	Date/Time of event	Date/Time		Grelaud, Michaël
7	Distance, relative	Dist rel	m	Grelaud, Michaël		between coordinates
8	Surface area	Surface	m²	Grelaud, Michaël
9	Duration, number of days	Duration	days	Grelaud, Michaël		since last cleaning
10	Duration, number of days	Duration	days	Grelaud, Michaël		since last monitoring
11	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		4/6 pack yokes
12	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	4/6 pack yokes
13	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	4/6 pack yokes
14	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Bags (e.g. shopping)
15	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Bags (e.g. shopping)
16	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Bags (e.g. shopping)
17	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Small plastic bags, e.g., freezer bags
18	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Small plastic bags, e.g., freezer bags
19	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Small plastic bags, e.g., freezer bags
20	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Plastic bag ends
21	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Plastic bag ends
22	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Plastic bag ends
23	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Drink (bottles, containers and drums)
24	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Drink (bottles, containers and drums)
25	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Drink (bottles, containers and drums)
26	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Cleaner (bottles, containers and drums)
27	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Cleaner (bottles, containers and drums)
28	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Cleaner (bottles, containers and drums)
29	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Food containers (e.g. fast food containers)
30	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Food containers (e.g. fast food containers)
31	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Food containers (e.g. fast food containers)
32	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Cosmetic
33	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Cosmetic
34	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Cosmetic
35	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Other bottles, containers and drums
36	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Other bottles, containers and drums
37	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Other bottles, containers and drums
38	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Engine oil containers and drums <50cm
39	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Engine oil containers and drums <50cm
40	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Engine oil containers and drums <50cm
41	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Engine oil containers and drums >50cm
42	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Engine oil containers and drums >50cm
43	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Engine oil containers and drums >50cm
44	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Jerry cans
45	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Jerry cans
46	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Jerry cans
47	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Injection gun containers
48	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Injection gun containers
49	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Injection gun containers
50	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Crates
51	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Crates
52	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Crates
53	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Car parts
54	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Car parts
55	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Car parts
56	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Caps/lids
57	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Caps/lids
58	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Caps/lids
59	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Cigarette lighters
60	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Cigarette lighters
61	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Cigarette lighters
62	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Cigarette butts
63	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Cigarette butts
64	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Cigarette butts
65	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Pens
66	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Pens
67	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Pens
68	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Combs/hair brushes
69	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Combs/hair brushes
70	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Combs/hair brushes
71	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Crisp/sweet packets and lolly sticks
72	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Crisp/sweet packets and lolly sticks
73	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Crisp/sweet packets and lolly sticks
74	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Toys & party poppers
75	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Toys & party poppers
76	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Toys & party poppers
77	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Cups
78	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Cups
79	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Cups
80	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Cutlery/trays/straws
81	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Cutlery/trays/straws
82	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Cutlery/trays/straws
83	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Fertiliser/animal feed bags
84	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Fertiliser/animal feed bags
85	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Fertiliser/animal feed bags
86	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Mesh vegetable bags
87	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Mesh vegetable bags
88	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Mesh vegetable bags
89	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Gloves (typical washing up gloves)
90	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Gloves (typical washing up gloves)
91	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Gloves (typical washing up gloves)
92	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Gloves (industrial/professional gloves)
93	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Gloves (industrial/professional gloves)
94	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Gloves (industrial/professional gloves)
95	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Crab/lobster pots
96	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Crab/lobster pots
97	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Crab/lobster pots
98	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Lobster and fish tags
99	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Lobster and fish tags
100	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Lobster and fish tags
101	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Oyster nets or mussel bags
102	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Oyster nets or mussel bags
103	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Oyster nets or mussel bags
104	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Plastic sheeting from mussel culture
105	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Plastic sheeting from mussel culture
106	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Plastic sheeting from mussel culture
107	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Rope (diameter more than 1 cm)
108	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Rope (diameter more than 1 cm)
109	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Rope (diameter more than 1 cm)
110	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		String and cord (diameter less than 1 cm)
111	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	String and cord (diameter less than 1 cm)
112	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	String and cord (diameter less than 1 cm)
113	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Nets and pieces of net < 50 cm
114	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Nets and pieces of net < 50 cm
115	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Nets and pieces of net < 50 cm
116	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Nets and pieces of net > 50 cm
117	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Nets and pieces of net > 50 cm
118	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Nets and pieces of net > 50 cm
119	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Tangled nets / cord / rope and string
120	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Tangled nets / cord / rope and string
121	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Tangled nets / cord / rope and string
122	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Fish boxes
123	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Fish boxes
124	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Fish boxes
125	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Fishing line (angling)
126	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Fishing line (angling)
127	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Fishing line (angling)
128	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Light sticks (tubes with fluid)
129	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Light sticks (tubes with fluid)
130	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Light sticks (tubes with fluid)
131	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Floats / Buoys
132	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Floats / Buoys
133	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Floats / Buoys
134	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Buckets
135	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Buckets
136	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Buckets
137	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Strapping bands
138	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Strapping bands
139	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Strapping bands
140	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Industrial packaging, plastic sheeting
141	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Industrial packaging, plastic sheeting
142	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Industrial packaging, plastic sheeting
143	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Fibre glass
144	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Fibre glass
145	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Fibre glass
146	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Shotgun cartridges
147	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Shotgun cartridges
148	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Shotgun cartridges
149	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Shoes / sandals
150	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Shoes / sandals
151	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Shoes / sandals
152	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Foam sponge
153	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Foam sponge
154	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Foam sponge
155	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Plastic / polystyrene pieces 0.5-2.5 cm
156	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces 0.5-2.5 cm
157	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces 0.5-2.5 cm
158	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Plastic / polystyrene pieces <0.5 cm
159	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces <0.5 cm
160	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces <0.5 cm
161	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Pellets
162	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Pellets
163	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Pellets
164	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Plastic / polystyrene pieces 2.5-50cm
165	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces 2.5-50cm
166	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces 2.5-50cm
167	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Plastic / polystyrene pieces > 50 cm
168	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces > 50 cm
169	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Plastic / polystyrene pieces > 50 cm
170	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Cotton bud sticks
171	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Cotton bud sticks
172	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Cotton bud sticks
173	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Sanitary towels / panty liners / backing strips
174	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Sanitary towels / panty liners / backing strips
175	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Sanitary towels / panty liners / backing strips
176	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Toilet fresheners
177	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Toilet fresheners
178	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Toilet fresheners
179	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Syringes
180	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Syringes
181	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Syringes
182	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Containers / tubes
183	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Containers / tubes
184	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Containers / tubes
185	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Bagged dog faeces
186	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Bagged dog faeces
187	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Bagged dog faeces
188	Marine litter, artificial polymer materials	Art polymer	#	Grelaud, Michaël		Other plastic / polystyrene items
189	Marine litter, artificial polymer materials, density	Art polymer	#/m	Grelaud, Michaël	Calculated	Other plastic / polystyrene items
190	Marine litter, artificial polymer materials, accumulation rate	Art polymer	#/m²/day	Grelaud, Michaël	Calculated	Other plastic / polystyrene items
191	Marine litter, rubber	Rubber	#	Grelaud, Michaël		Balloons, including plastic valves, ribbons
192	Marine litter, rubber, density	Rubber	#/m	Grelaud, Michaël	Calculated	Balloons, including plastic valves, ribbons
193	Marine litter, rubber, accumulation rate	Rubber	#/m²/day	Grelaud, Michaël	Calculated	Balloons, including plastic valves, ribbons
194	Marine litter, rubber	Rubber	#	Grelaud, Michaël		Boots
195	Marine litter, rubber, density	Rubber	#/m	Grelaud, Michaël	Calculated	Boots
196	Marine litter, rubber, accumulation rate	Rubber	#/m²/day	Grelaud, Michaël	Calculated	Boots
197	Marine litter, rubber	Rubber	#	Grelaud, Michaël		Tyres and belts
198	Marine litter, rubber, density	Rubber	#/m	Grelaud, Michaël	Calculated	Tyres and belts
199	Marine litter, rubber, accumulation rate	Rubber	#/m²/day	Grelaud, Michaël	Calculated	Tyres and belts
200	Marine litter, rubber	Rubber	#	Grelaud, Michaël		Condoms
201	Marine litter, rubber, density	Rubber	#/m	Grelaud, Michaël	Calculated	Condoms
202	Marine litter, rubber, accumulation rate	Rubber	#/m²/day	Grelaud, Michaël	Calculated	Condoms
203	Marine litter, rubber	Rubber	#	Grelaud, Michaël		Other rubber pieces
204	Marine litter, rubber, density	Rubber	#/m	Grelaud, Michaël	Calculated	Other rubber pieces
205	Marine litter, rubber, accumulation rate	Rubber	#/m²/day	Grelaud, Michaël	Calculated	Other rubber pieces
206	Marine litter, fabric	Fabric	#	Grelaud, Michaël		Clothing
207	Marine litter, fabric, density	Fabric	#/m	Grelaud, Michaël	Calculated	Clothing
208	Marine litter, fabric, accumulation rate	Fabric	#/m²/day	Grelaud, Michaël	Calculated	Clothing
209	Marine litter, fabric	Fabric	#	Grelaud, Michaël		Shoes (leather)
210	Marine litter, fabric, density	Fabric	#/m	Grelaud, Michaël	Calculated	Shoes (leather)
211	Marine litter, fabric, accumulation rate	Fabric	#/m²/day	Grelaud, Michaël	Calculated	Shoes (leather)
212	Marine litter, fabric	Fabric	#	Grelaud, Michaël		Furnishing
213	Marine litter, fabric, density	Fabric	#/m	Grelaud, Michaël	Calculated	Furnishing
214	Marine litter, fabric, accumulation rate	Fabric	#/m²/day	Grelaud, Michaël	Calculated	Furnishing
215	Marine litter, fabric	Fabric	#	Grelaud, Michaël		Sacking
216	Marine litter, fabric, density	Fabric	#/m	Grelaud, Michaël	Calculated	Sacking
217	Marine litter, fabric, accumulation rate	Fabric	#/m²/day	Grelaud, Michaël	Calculated	Sacking
218	Marine litter, fabric	Fabric	#	Grelaud, Michaël		Tampon and tampon applicators
219	Marine litter, fabric, density	Fabric	#/m	Grelaud, Michaël	Calculated	Tampon and tampon applicators
220	Marine litter, fabric, accumulation rate	Fabric	#/m²/day	Grelaud, Michaël	Calculated	Tampon and tampon applicators
221	Marine litter, fabric	Fabric	#	Grelaud, Michaël		Other textiles
222	Marine litter, fabric, density	Fabric	#/m	Grelaud, Michaël	Calculated	Other textiles
223	Marine litter, fabric, accumulation rate	Fabric	#/m²/day	Grelaud, Michaël	Calculated	Other textiles
224	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Bags
225	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Bags
226	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Bags
227	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Cardboard
228	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Cardboard
229	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Cardboard
230	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Cartons e.g. tetrapack (milk)
231	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Cartons e.g. tetrapack (milk)
232	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Cartons e.g. tetrapack (milk)
233	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Cartons e.g. tetrapack (other)
234	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Cartons e.g. tetrapack (other)
235	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Cartons e.g. tetrapack (other)
236	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Cigarette packets
237	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Cigarette packets
238	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Cigarette packets
239	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Cups
240	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Cups
241	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Cups
242	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Newspapers & magazines
243	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Newspapers & magazines
244	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Newspapers & magazines
245	Marine litter, paper and cardboard	Paper+Cardboard	#	Grelaud, Michaël		Other paper items
246	Marine litter, paper and cardboard, density	Paper+Cardboard	#/m	Grelaud, Michaël	Calculated	Other paper items
247	Marine litter, paper and cardboard, accumulation rate	Paper+Cardboard	#/m²/day	Grelaud, Michaël	Calculated	Other paper items
248	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Corks
249	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Corks
250	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Corks
251	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Pallets
252	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Pallets
253	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Pallets
254	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Crates
255	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Crates
256	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Crates
257	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Fish boxes
258	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Fish boxes
259	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Fish boxes
260	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Ice lolly sticks / chip forks
261	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Ice lolly sticks / chip forks
262	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Ice lolly sticks / chip forks
263	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Paint brushes
264	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Paint brushes
265	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Paint brushes
266	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Other wood < 50 cm
267	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Other wood < 50 cm
268	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Other wood < 50 cm
269	Marine litter, wood, processed and worked	Wood proc+worked	#	Grelaud, Michaël		Other wood > 50 cm
270	Marine litter, wood, processed and worked, density	Wood proc+worked	#/m	Grelaud, Michaël	Calculated	Other wood > 50 cm
271	Marine litter, wood, processed and worked, accumulation rate	Wood proc+worked	#/m²/day	Grelaud, Michaël	Calculated	Other wood > 50 cm
272	Marine litter, metal	Metal	#	Grelaud, Michaël		Aerosol / Spray cans
273	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Aerosol / Spray cans
274	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Aerosol / Spray cans
275	Marine litter, metal	Metal	#	Grelaud, Michaël		Drink cans
276	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Drink cans
277	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Drink cans
278	Marine litter, metal	Metal	#	Grelaud, Michaël		Food cans
279	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Food cans
280	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Food cans
281	Marine litter, metal	Metal	#	Grelaud, Michaël		Foil wrappers
282	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Foil wrappers
283	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Foil wrappers
284	Marine litter, metal	Metal	#	Grelaud, Michaël		Bottle caps
285	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Bottle caps
286	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Bottle caps
287	Marine litter, metal	Metal	#	Grelaud, Michaël		Electric appliances
288	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Electric appliances
289	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Electric appliances
290	Marine litter, metal	Metal	#	Grelaud, Michaël		Fishing weights
291	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Fishing weights
292	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Fishing weights
293	Marine litter, metal	Metal	#	Grelaud, Michaël		Industrial scrap
294	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Industrial scrap
295	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Industrial scrap
296	Marine litter, metal	Metal	#	Grelaud, Michaël		Oil drums
297	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Oil drums
298	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Oil drums
299	Marine litter, metal	Metal	#	Grelaud, Michaël		Paint tins
300	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Paint tins
301	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Paint tins
302	Marine litter, metal	Metal	#	Grelaud, Michaël		Wire, wire mesh, barbed wire
303	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Wire, wire mesh, barbed wire
304	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Wire, wire mesh, barbed wire
305	Marine litter, metal	Metal	#	Grelaud, Michaël		Other metal pieces < 50 cm
306	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Other metal pieces < 50 cm
307	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Other metal pieces < 50 cm
308	Marine litter, metal	Metal	#	Grelaud, Michaël		Other metal pieces > 50 cm
309	Marine litter, metal, density	Metal	#/m	Grelaud, Michaël	Calculated	Other metal pieces > 50 cm
310	Marine litter, metal, accumulation rate	Metal	#/m²/day	Grelaud, Michaël	Calculated	Other metal pieces > 50 cm
311	Marine litter, glass and ceramics	Glass+Ceramic	#	Grelaud, Michaël		Bottles
312	Marine litter, glass and ceramics, density	Glass+Ceramic	#/m	Grelaud, Michaël	Calculated	Bottles
313	Marine litter, glass and ceramics, accumulation rate	Glass+Ceramic	#/m²/day	Grelaud, Michaël	Calculated	Bottles
314	Marine litter, glass and ceramics	Glass+Ceramic	#	Grelaud, Michaël		Light bulbs / tubes
315	Marine litter, glass and ceramics, density	Glass+Ceramic	#/m	Grelaud, Michaël	Calculated	Light bulbs / tubes
316	Marine litter, glass and ceramics, accumulation rate	Glass+Ceramic	#/m²/day	Grelaud, Michaël	Calculated	Light bulbs / tubes
317	Marine litter, glass and ceramics	Glass+Ceramic	#	Grelaud, Michaël		Construction material e.g. tiles
318	Marine litter, glass and ceramics, density	Glass+Ceramic	#/m	Grelaud, Michaël	Calculated	Construction material e.g. tiles
319	Marine litter, glass and ceramics, accumulation rate	Glass+Ceramic	#/m²/day	Grelaud, Michaël	Calculated	Construction material e.g. tiles
320	Marine litter, glass and ceramics	Glass+Ceramic	#	Grelaud, Michaël		Other glass items
321	Marine litter, glass and ceramics, density	Glass+Ceramic	#/m	Grelaud, Michaël	Calculated	Other glass items
322	Marine litter, glass and ceramics, accumulation rate	Glass+Ceramic	#/m²/day	Grelaud, Michaël	Calculated	Other glass items
323	Marine litter, glass and ceramics	Glass+Ceramic	#	Grelaud, Michaël		Other ceramic / pottery items
324	Marine litter, glass and ceramics, density	Glass+Ceramic	#/m	Grelaud, Michaël	Calculated	Other ceramic / pottery items
325	Marine litter, glass and ceramics, accumulation rate	Glass+Ceramic	#/m²/day	Grelaud, Michaël	Calculated	Other ceramic / pottery items
326	Marine litter, unidentified	Unident litter	#	Grelaud, Michaël		Other sanitary items
327	Marine litter, unidentified, density	Unident litter	#/m	Grelaud, Michaël	Calculated	Other sanitary items
328	Marine litter, unidentified, accumulation rate	Unident litter	#/m²/day	Grelaud, Michaël	Calculated	Other sanitary items
329	Marine litter, unidentified	Unident litter	#	Grelaud, Michaël		Other medical items
330	Marine litter, unidentified, density	Unident litter	#/m	Grelaud, Michaël	Calculated	Other medical items
331	Marine litter, unidentified, accumulation rate	Unident litter	#/m²/day	Grelaud, Michaël	Calculated	Other medical items
332	Marine litter, chemical	Chemical	#	Grelaud, Michaël		Parafin or wax pieces 0
333	Marine litter, chemical, density	Chemical	#/m	Grelaud, Michaël	Calculated	Parafin or wax pieces 0
334	Marine litter, chemical, accumulation rate	Chemical	#/m²/day	Grelaud, Michaël	Calculated	Parafin or wax pieces 0
335	Marine litter, chemical	Chemical	#	Grelaud, Michaël		Parafin or wax pieces 1
336	Marine litter, chemical, density	Chemical	#/m	Grelaud, Michaël	Calculated	Parafin or wax pieces 1
337	Marine litter, chemical, accumulation rate	Chemical	#/m²/day	Grelaud, Michaël	Calculated	Parafin or wax pieces 1
338	Marine litter, chemical	Chemical	#	Grelaud, Michaël		Parafin of wax pieces >10cm
339	Marine litter, chemical, density	Chemical	#/m	Grelaud, Michaël	Calculated	Parafin of wax pieces >10cm
340	Marine litter, chemical, accumulation rate	Chemical	#/m²/day	Grelaud, Michaël	Calculated	Parafin of wax pieces >10cm
341	Marine litter, unidentified	Unident litter	#	Grelaud, Michaël		Others polluants
342	Marine litter, unidentified, density	Unident litter	#/m	Grelaud, Michaël	Calculated	Others polluants
343	Marine litter, unidentified, accumulation rate	Unident litter	#/m²/day	Grelaud, Michaël	Calculated	Others polluants

License:

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

Size:

12630 data points

Data

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

1 Event	2 Latitude	3 Longitude	4 Latitude 2	5 Longitude 2	6 Date/Time	7 Dist rel [m] (between coordinates)	8 Surface [m²]	9 Duration [days] (since last cleaning)	10 Duration [days] (since last monitoring)	11 Art polymer [#] (4/6 pack yokes)	12 Art polymer [#/m] (4/6 pack yokes)	13 Art polymer [#/m²/day] (4/6 pack yokes)	14 Art polymer [#] (Bags (e.g. shopping))	15 Art polymer [#/m] (Bags (e.g. shopping))	16 Art polymer [#/m²/day] (Bags (e.g. shopping))	17 Art polymer [#] (Small plastic bags, e.g., fre...)	18 Art polymer [#/m] (Small plastic bags, e.g., fre...)	19 Art polymer [#/m²/day] (Small plastic bags, e.g., fre...)	20 Art polymer [#] (Plastic bag ends)	21 Art polymer [#/m] (Plastic bag ends)	22 Art polymer [#/m²/day] (Plastic bag ends)	23 Art polymer [#] (Drink (bottles, containers an...)	24 Art polymer [#/m] (Drink (bottles, containers an...)	25 Art polymer [#/m²/day] (Drink (bottles, containers an...)	26 Art polymer [#] (Cleaner (bottles, containers ...)	27 Art polymer [#/m] (Cleaner (bottles, containers ...)	28 Art polymer [#/m²/day] (Cleaner (bottles, containers ...)	29 Art polymer [#] (Food containers (e.g. fast fo...)	30 Art polymer [#/m] (Food containers (e.g. fast fo...)	31 Art polymer [#/m²/day] (Food containers (e.g. fast fo...)	32 Art polymer [#] (Cosmetic)	33 Art polymer [#/m] (Cosmetic)	34 Art polymer [#/m²/day] (Cosmetic)	35 Art polymer [#] (Other bottles, containers and...)	36 Art polymer [#/m] (Other bottles, containers and...)	37 Art polymer [#/m²/day] (Other bottles, containers and...)	38 Art polymer [#] (Engine oil containers and dru...)	39 Art polymer [#/m] (Engine oil containers and dru...)	40 Art polymer [#/m²/day] (Engine oil containers and dru...)	41 Art polymer [#] (Engine oil containers and dru...)	42 Art polymer [#/m] (Engine oil containers and dru...)	43 Art polymer [#/m²/day] (Engine oil containers and dru...)	44 Art polymer [#] (Jerry cans)	45 Art polymer [#/m] (Jerry cans)	46 Art polymer [#/m²/day] (Jerry cans)	47 Art polymer [#] (Injection gun containers)	48 Art polymer [#/m] (Injection gun containers)	49 Art polymer [#/m²/day] (Injection gun containers)	50 Art polymer [#] (Crates)	51 Art polymer [#/m] (Crates)	52 Art polymer [#/m²/day] (Crates)	53 Art polymer [#] (Car parts)	54 Art polymer [#/m] (Car parts)	55 Art polymer [#/m²/day] (Car parts)	56 Art polymer [#] (Caps/lids)	57 Art polymer [#/m] (Caps/lids)	58 Art polymer [#/m²/day] (Caps/lids)	59 Art polymer [#] (Cigarette lighters)	60 Art polymer [#/m] (Cigarette lighters)	61 Art polymer [#/m²/day] (Cigarette lighters)	62 Art polymer [#] (Cigarette butts)	63 Art polymer [#/m] (Cigarette butts)	64 Art polymer [#/m²/day] (Cigarette butts)	65 Art polymer [#] (Pens)	66 Art polymer [#/m] (Pens)	67 Art polymer [#/m²/day] (Pens)	68 Art polymer [#] (Combs/hair brushes)	69 Art polymer [#/m] (Combs/hair brushes)	70 Art polymer [#/m²/day] (Combs/hair brushes)	71 Art polymer [#] (Crisp/sweet packets and lolly...)	72 Art polymer [#/m] (Crisp/sweet packets and lolly...)	73 Art polymer [#/m²/day] (Crisp/sweet packets and lolly...)	74 Art polymer [#] (Toys & party poppers)	75 Art polymer [#/m] (Toys & party poppers)	76 Art polymer [#/m²/day] (Toys & party poppers)	77 Art polymer [#] (Cups)	78 Art polymer [#/m] (Cups)	79 Art polymer [#/m²/day] (Cups)	80 Art polymer [#] (Cutlery/trays/straws)	81 Art polymer [#/m] (Cutlery/trays/straws)	82 Art polymer [#/m²/day] (Cutlery/trays/straws)	83 Art polymer [#] (Fertiliser/animal feed bags)	84 Art polymer [#/m] (Fertiliser/animal feed bags)	85 Art polymer [#/m²/day] (Fertiliser/animal feed bags)	86 Art polymer [#] (Mesh vegetable bags)	87 Art polymer [#/m] (Mesh vegetable bags)	88 Art polymer [#/m²/day] (Mesh vegetable bags)	89 Art polymer [#] (Gloves (typical washing up gl...)	90 Art polymer [#/m] (Gloves (typical washing up gl...)	91 Art polymer [#/m²/day] (Gloves (typical washing up gl...)	92 Art polymer [#] (Gloves (industrial/profession...)	93 Art polymer [#/m] (Gloves (industrial/profession...)	94 Art polymer [#/m²/day] (Gloves (industrial/profession...)	95 Art polymer [#] (Crab/lobster pots)	96 Art polymer [#/m] (Crab/lobster pots)	97 Art polymer [#/m²/day] (Crab/lobster pots)	98 Art polymer [#] (Lobster and fish tags)	99 Art polymer [#/m] (Lobster and fish tags)	100 Art polymer [#/m²/day] (Lobster and fish tags)	101 Art polymer [#] (Oyster nets or mussel bags)	102 Art polymer [#/m] (Oyster nets or mussel bags)	103 Art polymer [#/m²/day] (Oyster nets or mussel bags)	104 Art polymer [#] (Plastic sheeting from mussel ...)	105 Art polymer [#/m] (Plastic sheeting from mussel ...)	106 Art polymer [#/m²/day] (Plastic sheeting from mussel ...)	107 Art polymer [#] (Rope (diameter more than 1 cm))	108 Art polymer [#/m] (Rope (diameter more than 1 cm))	109 Art polymer [#/m²/day] (Rope (diameter more than 1 cm))	110 Art polymer [#] (String and cord (diameter les...)	111 Art polymer [#/m] (String and cord (diameter les...)	112 Art polymer [#/m²/day] (String and cord (diameter les...)	113 Art polymer [#] (Nets and pieces of net < 50 cm)	114 Art polymer [#/m] (Nets and pieces of net < 50 cm)	115 Art polymer [#/m²/day] (Nets and pieces of net < 50 cm)	116 Art polymer [#] (Nets and pieces of net > 50 cm)	117 Art polymer [#/m] (Nets and pieces of net > 50 cm)	118 Art polymer [#/m²/day] (Nets and pieces of net > 50 cm)	119 Art polymer [#] (Tangled nets / cord / rope an...)	120 Art polymer [#/m] (Tangled nets / cord / rope an...)	121 Art polymer [#/m²/day] (Tangled nets / cord / rope an...)	122 Art polymer [#] (Fish boxes)	123 Art polymer [#/m] (Fish boxes)	124 Art polymer [#/m²/day] (Fish boxes)	125 Art polymer [#] (Fishing line (angling))	126 Art polymer [#/m] (Fishing line (angling))	127 Art polymer [#/m²/day] (Fishing line (angling))	128 Art polymer [#] (Light sticks (tubes with fluid))	129 Art polymer [#/m] (Light sticks (tubes with fluid))	130 Art polymer [#/m²/day] (Light sticks (tubes with fluid))	131 Art polymer [#] (Floats / Buoys)	132 Art polymer [#/m] (Floats / Buoys)	133 Art polymer [#/m²/day] (Floats / Buoys)	134 Art polymer [#] (Buckets)	135 Art polymer [#/m] (Buckets)	136 Art polymer [#/m²/day] (Buckets)	137 Art polymer [#] (Strapping bands)	138 Art polymer [#/m] (Strapping bands)	139 Art polymer [#/m²/day] (Strapping bands)	140 Art polymer [#] (Industrial packaging, plastic...)	141 Art polymer [#/m] (Industrial packaging, plastic...)	142 Art polymer [#/m²/day] (Industrial packaging, plastic...)	143 Art polymer [#] (Fibre glass)	144 Art polymer [#/m] (Fibre glass)	145 Art polymer [#/m²/day] (Fibre glass)	146 Art polymer [#] (Shotgun cartridges)	147 Art polymer [#/m] (Shotgun cartridges)	148 Art polymer [#/m²/day] (Shotgun cartridges)	149 Art polymer [#] (Shoes / sandals)	150 Art polymer [#/m] (Shoes / sandals)	151 Art polymer [#/m²/day] (Shoes / sandals)	152 Art polymer [#] (Foam sponge)	153 Art polymer [#/m] (Foam sponge)	154 Art polymer [#/m²/day] (Foam sponge)	155 Art polymer [#] (Plastic / polystyrene pieces ...)	156 Art polymer [#/m] (Plastic / polystyrene pieces ...)	157 Art polymer [#/m²/day] (Plastic / polystyrene pieces ...)	158 Art polymer [#] (Plastic / polystyrene pieces ...)	159 Art polymer [#/m] (Plastic / polystyrene pieces ...)	160 Art polymer [#/m²/day] (Plastic / polystyrene pieces ...)	161 Art polymer [#] (Pellets)	162 Art polymer [#/m] (Pellets)	163 Art polymer [#/m²/day] (Pellets)	164 Art polymer [#] (Plastic / polystyrene pieces ...)	165 Art polymer [#/m] (Plastic / polystyrene pieces ...)	166 Art polymer [#/m²/day] (Plastic / polystyrene pieces ...)	167 Art polymer [#] (Plastic / polystyrene pieces ...)	168 Art polymer [#/m] (Plastic / polystyrene pieces ...)	169 Art polymer [#/m²/day] (Plastic / polystyrene pieces ...)	170 Art polymer [#] (Cotton bud sticks)	171 Art polymer [#/m] (Cotton bud sticks)	172 Art polymer [#/m²/day] (Cotton bud sticks)	173 Art polymer [#] (Sanitary towels / panty liner...)	174 Art polymer [#/m] (Sanitary towels / panty liner...)	175 Art polymer [#/m²/day] (Sanitary towels / panty liner...)	176 Art polymer [#] (Toilet fresheners)	177 Art polymer [#/m] (Toilet fresheners)	178 Art polymer [#/m²/day] (Toilet fresheners)	179 Art polymer [#] (Syringes)	180 Art polymer [#/m] (Syringes)	181 Art polymer [#/m²/day] (Syringes)	182 Art polymer [#] (Containers / tubes)	183 Art polymer [#/m] (Containers / tubes)	184 Art polymer [#/m²/day] (Containers / tubes)	185 Art polymer [#] (Bagged dog faeces)	186 Art polymer [#/m] (Bagged dog faeces)	187 Art polymer [#/m²/day] (Bagged dog faeces)	188 Art polymer [#] (Other plastic / polystyrene i...)	189 Art polymer [#/m] (Other plastic / polystyrene i...)	190 Art polymer [#/m²/day] (Other plastic / polystyrene i...)	191 Rubber [#] (Balloons, including plastic v...)	192 Rubber [#/m] (Balloons, including plastic v...)	193 Rubber [#/m²/day] (Balloons, including plastic v...)	194 Rubber [#] (Boots)	195 Rubber [#/m] (Boots)	196 Rubber [#/m²/day] (Boots)	197 Rubber [#] (Tyres and belts)	198 Rubber [#/m] (Tyres and belts)	199 Rubber [#/m²/day] (Tyres and belts)	200 Rubber [#] (Condoms)	201 Rubber [#/m] (Condoms)	202 Rubber [#/m²/day] (Condoms)	203 Rubber [#] (Other rubber pieces)	204 Rubber [#/m] (Other rubber pieces)	205 Rubber [#/m²/day] (Other rubber pieces)	206 Fabric [#] (Clothing)	207 Fabric [#/m] (Clothing)	208 Fabric [#/m²/day] (Clothing)	209 Fabric [#] (Shoes (leather))	210 Fabric [#/m] (Shoes (leather))	211 Fabric [#/m²/day] (Shoes (leather))	212 Fabric [#] (Furnishing)	213 Fabric [#/m] (Furnishing)	214 Fabric [#/m²/day] (Furnishing)	215 Fabric [#] (Sacking)	216 Fabric [#/m] (Sacking)	217 Fabric [#/m²/day] (Sacking)	218 Fabric [#] (Tampon and tampon applicators)	219 Fabric [#/m] (Tampon and tampon applicators)	220 Fabric [#/m²/day] (Tampon and tampon applicators)	221 Fabric [#] (Other textiles)	222 Fabric [#/m] (Other textiles)	223 Fabric [#/m²/day] (Other textiles)	224 Paper+Cardboard [#] (Bags)	225 Paper+Cardboard [#/m] (Bags)	226 Paper+Cardboard [#/m²/day] (Bags)	227 Paper+Cardboard [#] (Cardboard)	228 Paper+Cardboard [#/m] (Cardboard)	229 Paper+Cardboard [#/m²/day] (Cardboard)	230 Paper+Cardboard [#] (Cartons e.g. tetrapack (milk))	231 Paper+Cardboard [#/m] (Cartons e.g. tetrapack (milk))	232 Paper+Cardboard [#/m²/day] (Cartons e.g. tetrapack (milk))	233 Paper+Cardboard [#] (Cartons e.g. tetrapack (other))	234 Paper+Cardboard [#/m] (Cartons e.g. tetrapack (other))	235 Paper+Cardboard [#/m²/day] (Cartons e.g. tetrapack (other))	236 Paper+Cardboard [#] (Cigarette packets)	237 Paper+Cardboard [#/m] (Cigarette packets)	238 Paper+Cardboard [#/m²/day] (Cigarette packets)	239 Paper+Cardboard [#] (Cups)	240 Paper+Cardboard [#/m] (Cups)	241 Paper+Cardboard [#/m²/day] (Cups)	242 Paper+Cardboard [#] (Newspapers & magazines)	243 Paper+Cardboard [#/m] (Newspapers & magazines)	244 Paper+Cardboard [#/m²/day] (Newspapers & magazines)	245 Paper+Cardboard [#] (Other paper items)	246 Paper+Cardboard [#/m] (Other paper items)	247 Paper+Cardboard [#/m²/day] (Other paper items)	248 Wood proc+worked [#] (Corks)	249 Wood proc+worked [#/m] (Corks)	250 Wood proc+worked [#/m²/day] (Corks)	251 Wood proc+worked [#] (Pallets)	252 Wood proc+worked [#/m] (Pallets)	253 Wood proc+worked [#/m²/day] (Pallets)	254 Wood proc+worked [#] (Crates)	255 Wood proc+worked [#/m] (Crates)	256 Wood proc+worked [#/m²/day] (Crates)	257 Wood proc+worked [#] (Fish boxes)	258 Wood proc+worked [#/m] (Fish boxes)	259 Wood proc+worked [#/m²/day] (Fish boxes)	260 Wood proc+worked [#] (Ice lolly sticks / chip forks)	261 Wood proc+worked [#/m] (Ice lolly sticks / chip forks)	262 Wood proc+worked [#/m²/day] (Ice lolly sticks / chip forks)	263 Wood proc+worked [#] (Paint brushes)	264 Wood proc+worked [#/m] (Paint brushes)	265 Wood proc+worked [#/m²/day] (Paint brushes)	266 Wood proc+worked [#] (Other wood < 50 cm)	267 Wood proc+worked [#/m] (Other wood < 50 cm)	268 Wood proc+worked [#/m²/day] (Other wood < 50 cm)	269 Wood proc+worked [#] (Other wood > 50 cm)	270 Wood proc+worked [#/m] (Other wood > 50 cm)	271 Wood proc+worked [#/m²/day] (Other wood > 50 cm)	272 Metal [#] (Aerosol / Spray cans)	273 Metal [#/m] (Aerosol / Spray cans)	274 Metal [#/m²/day] (Aerosol / Spray cans)	275 Metal [#] (Drink cans)	276 Metal [#/m] (Drink cans)	277 Metal [#/m²/day] (Drink cans)	278 Metal [#] (Food cans)	279 Metal [#/m] (Food cans)	280 Metal [#/m²/day] (Food cans)	281 Metal [#] (Foil wrappers)	282 Metal [#/m] (Foil wrappers)	283 Metal [#/m²/day] (Foil wrappers)	284 Metal [#] (Bottle caps)	285 Metal [#/m] (Bottle caps)	286 Metal [#/m²/day] (Bottle caps)	287 Metal [#] (Electric appliances)	288 Metal [#/m] (Electric appliances)	289 Metal [#/m²/day] (Electric appliances)	290 Metal [#] (Fishing weights)	291 Metal [#/m] (Fishing weights)	292 Metal [#/m²/day] (Fishing weights)	293 Metal [#] (Industrial scrap)	294 Metal [#/m] (Industrial scrap)	295 Metal [#/m²/day] (Industrial scrap)	296 Metal [#] (Oil drums)	297 Metal [#/m] (Oil drums)	298 Metal [#/m²/day] (Oil drums)	299 Metal [#] (Paint tins)	300 Metal [#/m] (Paint tins)	301 Metal [#/m²/day] (Paint tins)	302 Metal [#] (Wire, wire mesh, barbed wire)	303 Metal [#/m] (Wire, wire mesh, barbed wire)	304 Metal [#/m²/day] (Wire, wire mesh, barbed wire)	305 Metal [#] (Other metal pieces < 50 cm)	306 Metal [#/m] (Other metal pieces < 50 cm)	307 Metal [#/m²/day] (Other metal pieces < 50 cm)	308 Metal [#] (Other metal pieces > 50 cm)	309 Metal [#/m] (Other metal pieces > 50 cm)	310 Metal [#/m²/day] (Other metal pieces > 50 cm)	311 Glass+Ceramic [#] (Bottles)	312 Glass+Ceramic [#/m] (Bottles)	313 Glass+Ceramic [#/m²/day] (Bottles)	314 Glass+Ceramic [#] (Light bulbs / tubes)	315 Glass+Ceramic [#/m] (Light bulbs / tubes)	316 Glass+Ceramic [#/m²/day] (Light bulbs / tubes)	317 Glass+Ceramic [#] (Construction material e.g. tiles)	318 Glass+Ceramic [#/m] (Construction material e.g. tiles)	319 Glass+Ceramic [#/m²/day] (Construction material e.g. tiles)	320 Glass+Ceramic [#] (Other glass items)	321 Glass+Ceramic [#/m] (Other glass items)	322 Glass+Ceramic [#/m²/day] (Other glass items)	323 Glass+Ceramic [#] (Other ceramic / pottery items)	324 Glass+Ceramic [#/m] (Other ceramic / pottery items)	325 Glass+Ceramic [#/m²/day] (Other ceramic / pottery items)	326 Unident litter [#] (Other sanitary items)	327 Unident litter [#/m] (Other sanitary items)	328 Unident litter [#/m²/day] (Other sanitary items)	329 Unident litter [#] (Other medical items)	330 Unident litter [#/m] (Other medical items)	331 Unident litter [#/m²/day] (Other medical items)	332 Chemical [#] (Parafin or wax pieces 0)	333 Chemical [#/m] (Parafin or wax pieces 0)	334 Chemical [#/m²/day] (Parafin or wax pieces 0)	335 Chemical [#] (Parafin or wax pieces 1)	336 Chemical [#/m] (Parafin or wax pieces 1)	337 Chemical [#/m²/day] (Parafin or wax pieces 1)	338 Chemical [#] (Parafin of wax pieces >10cm)	339 Chemical [#/m] (Parafin of wax pieces >10cm)	340 Chemical [#/m²/day] (Parafin of wax pieces >10cm)	341 Unident litter [#] (Others polluants)	342 Unident litter [#/m] (Others polluants)	343 Unident litter [#/m²/day] (Others polluants)
MLC_T_2	39.5348	2.4544	39.5351	2.4555	2017-02-26	103.26	2149.0	118.00	56				3	0.029051569	0.000011830	2	0.019367713	0.000007887	3	0.029051569	0.000011830	3	0.029051569	0.000011830				3	0.029051569	0.000011830				2	0.019367713	0.000007887																			36	0.348618830	0.000141966	2	0.019367713	0.000007887	437	4.231845244	0.001723308							69	0.668186091	0.000272101				10	0.096838564	0.000039435	7	0.067786995	0.000027604																1	0.009683856	0.000003943							8	0.077470851	0.000031548	16	0.154941702	0.000063096							22	0.213044841	0.000086757										1	0.009683856	0.000003943				2	0.019367713	0.000007887	2	0.019367713	0.000007887				1	0.009683856	0.000003943				18	0.174309415	0.000070983	201	1.946455135	0.000792643	74	0.716605373	0.000614904	12	0.116206277	0.000099714	134	1.297636757	0.000528429				7	0.067786995	0.000027604	1	0.009683856	0.000003943							2	0.019367713	0.000007887	1	0.009683856	0.000003943	9	0.087154708	0.000035491	9	0.087154708	0.000035491													1	0.009683856	0.000003943				4	0.038735426	0.000015774				2	0.019367713	0.000007887	8	0.077470851	0.000031548				2	0.019367713	0.000007887							1	0.009683856	0.000003943				3	0.029051569	0.000011830	38	0.367986543	0.000149853													1	0.009683856	0.000003943				1	0.009683856	0.000003943	2	0.019367713	0.000007887				5	0.048419282	0.000019717				16	0.154941702	0.000063096	3	0.029051569	0.000011830																			4	0.038735426	0.000015774										25	0.242096410	0.000098587	11	0.106522420	0.000043378													2	0.019367713	0.000007887				7	0.067786995	0.000027604
MLC_T_5	39.5348	2.4544	39.5351	2.4555	2017-05-10	102.44	2149.0	1.00	73																									1	0.009762124	0.000465333																			8	0.078096990	0.003722662				643	6.277045584	0.299208934							82	0.800494149	0.038157282	4	0.039048495	0.001861331				10	0.097621238	0.004653327																3	0.029286371	0.001395998							2	0.019524248	0.000930665	51	0.497868312	0.023731968							4	0.039048495	0.001861331																1	0.009762124	0.000465333													11	0.107383361	0.005118660	160	1.561939803	0.074453234	144	1.405745823	0.000917917	13	0.126907609	0.000082867	238	2.323385457	0.110749186																						127	1.239789719	0.059097255	3	0.029286371	0.001395998										9	0.087859114	0.004187994	1	0.009762124	0.000465333				3	0.029286371	0.001395998							36	0.351436456	0.016751978				5	0.048810619	0.002326664																111	1.083595738	0.051651931													1	0.009762124	0.000465333				1	0.009762124	0.000465333							1	0.009762124	0.000465333				22	0.214766723	0.010237320																						2	0.019524248	0.000930665										2	0.019524248	0.000930665	4	0.039048495	0.001861331							3	0.029286371	0.001395998										5	0.048810619	0.002326664
MLC_T_6	39.5348	2.4544	39.5351	2.4555	2017-06-16	102.44	2149.0	0.75	37							6	0.058572743	0.003722662																																					3	0.029286371	0.001861331				823	8.034227863	0.510625097				1	0.009762124	0.000620444	15	0.146431857	0.009306654				1	0.009762124	0.000620444	14	0.136669733	0.008686211																												58	0.566203179	0.035985730	1	0.009762124	0.000620444																															1	0.009762124	0.000620444				2	0.019524248	0.001240887	158	1.542415556	0.098030092	76	0.741921407	0.000955819	10	0.097621238	0.000125766	249	2.430768819	0.154490461																						2	0.019524248	0.001240887	4	0.039048495	0.002481774										3	0.029286371	0.001861331	1	0.009762124	0.000620444													14	0.136669733	0.008686211				2	0.019524248	0.001240887							1	0.009762124	0.000620444							79	0.771207778	0.049015046													3	0.029286371	0.001861331				4	0.039048495	0.002481774	1	0.009762124	0.000620444										27	0.263577342	0.016751978	12	0.117145485	0.007445323																			2	0.019524248	0.001240887										26	0.253815218	0.016131534	14	0.136669733	0.008686211							4	0.039048495	0.002481774										5	0.048810619	0.003102218
MLC_T_7	39.5348	2.4544	39.5351	2.4555	2017-07-05	102.44	2149.0	0.50	19				4	0.039048495	0.003722662													2	0.019524248	0.001861331																									14	0.136669733	0.013029316				1142	11.148345350	1.062819916							40	0.390484951	0.037226617	2	0.019524248	0.001861331	2	0.019524248	0.001861331	4	0.039048495	0.003722662	4	0.039048495	0.003722662																6	0.058572743	0.005583993				2	0.019524248	0.001861331	28	0.273339466	0.026058632																									2	0.019524248	0.001861331																248	2.421006695	0.230805026	122	1.190979100	0.002987926	12	0.117145485	0.000293894	116	1.132406357	0.107957189				2	0.019524248	0.001861331	2	0.019524248	0.001861331													12	0.117145485	0.011167985													2	0.019524248	0.001861331																12	0.117145485	0.011167985				6	0.058572743	0.005583993																92	0.898115387	0.085621219																			2	0.019524248	0.001861331													16	0.156193980	0.014890647	6	0.058572743	0.005583993																			4	0.039048495	0.003722662										2	0.019524248	0.001861331	8	0.078096990	0.007445323				14	0.136669733	0.013029316
MLC_T_9	39.5348	2.4544	39.5351	2.4555	2017-09-15	102.44	2149.0	0.75	72													2	0.019524248	0.001240887										2	0.019524248	0.001240887																			24	0.234290970	0.014890647				1078	10.523569420	0.668838219				2	0.019524248	0.001240887	40	0.390484951	0.024817745	2	0.019524248	0.001240887	2	0.019524248	0.001240887	20	0.195242475	0.012408872																												14	0.136669733	0.008686211							12	0.117145485	0.007445323				4	0.039048495	0.002481774																									6	0.058572743	0.003722662	270	2.635773418	0.167519777	222	2.167191477	0.001434776	4	0.039048495	0.000025852	184	1.796230774	0.114161626				8	0.078096990	0.004963549	4	0.039048495	0.002481774													24	0.234290970	0.014890647	16	0.156193980	0.009927098										14	0.136669733	0.008686211																48	0.468581941	0.029781294				6	0.058572743	0.003722662																158	1.542415556	0.098030092													8	0.078096990	0.004963549				2	0.019524248	0.001240887							2	0.019524248	0.001240887				34	0.331912208	0.021095083	14	0.136669733	0.008686211																2	0.019524248	0.001240887	2	0.019524248	0.001240887										8	0.078096990	0.004963549	6	0.058572743	0.003722662				8	0.078096990	0.004963549	2	0.019524248	0.001240887
MLC_T_11	39.5348	2.4544	39.5351	2.4555	2017-11-17	102.44	2149.0	17.00	63													3	0.029286371	0.000082117																															51	0.497868312	0.001395998	6	0.058572743	0.000164235	1182	11.538830300	0.032354310							24	0.234290970	0.000656940	3	0.029286371	0.000082117				12	0.117145485	0.000328470																												45	0.439295570	0.001231763							15	0.146431857	0.000410588				6	0.058572743	0.000164235										6	0.058572743	0.000164235													3	0.029286371	0.000082117	570	5.564410549	0.015602332	201	1.962186878	0.001484633	48	0.468581941	0.000354539	204	1.991473249	0.005583993																						9	0.087859114	0.000246353	3	0.029286371	0.000082117													3	0.029286371	0.000082117													24	0.234290970	0.000656940	9	0.087859114	0.000246353	3	0.029286371	0.000082117																63	0.615013798	0.001724468	12	0.117145485	0.000328470																									3	0.029286371	0.000082117				12	0.117145485	0.000328470	15	0.146431857	0.000410588																3	0.029286371	0.000082117	12	0.117145485	0.000328470													21	0.205004599	0.000574823				42	0.410009198	0.001149646				9	0.087859114	0.000246353							30	0.292863713	0.000821175
MLC_T_PA	39.5348	2.4544	39.5351	2.4555	2019-09-26	102.44	2149.0	1.00																																															5	0.048810619	0.002326664				830	8.102562729	0.386226152							34	0.331912208	0.015821312							3	0.029286371	0.001395998																												24	0.234290970	0.011167985							2	0.019524248	0.000930665																															31	0.302625837	0.014425314	178	1.737658031	0.082829223	24	0.234290970	#999.999000000	104	1.015260872	#999.999000000										1	0.009762124	0.000465333				1	0.009762124	0.000465333							1	0.009762124	0.000465333	7	0.068334866	0.003257329													1	0.009762124	0.000465333				2	0.019524248	0.000930665							38	0.370960703	0.017682643																						109	1.064071491	0.050721266	1	0.009762124	0.000465333										7	0.068334866	0.003257329																			8	0.078096990	0.003722662	16	0.156193980	0.007445323																			1	0.009762124	0.000465333										1	0.009762124	0.000465333	10	0.097621238	0.004653327				4	0.039048495	0.001861331	6	0.058572743	0.002791996
MLC_L_2	39.2765	3.0439	39.2773	3.0440	2017-02-26	92.79	6015.0	118.00	56							10	0.107766551	0.000014089	3	0.032329965	0.000004227	24	0.258639721	0.000033814	3	0.032329965	0.000004227	3	0.032329965	0.000004227	3	0.032329965	0.000004227																						93	1.002228921	0.000131028	2	0.021553310	0.000002818	1	0.010776655	0.000001409	4	0.043106620	0.000005636	1	0.010776655	0.000001409	30	0.323299652	0.000042267	2	0.021553310	0.000002818	2	0.021553310	0.000002818	27	0.290969687	0.000038041				2	0.021553310	0.000002818																			10	0.107766551	0.000014089	72	0.775919164	0.000101441	1	0.010776655	0.000001409				3	0.032329965	0.000004227													1	0.010776655	0.000001409																3	0.032329965	0.000004227	235	2.532513939	0.000331093	67	0.722035889	0.000198907	12	0.129319861	0.000035625	238	2.564843904	0.000335320	7	0.075436585	0.000009862													1	0.010776655	0.000001409	1	0.010776655	0.000001409				2	0.021553310	0.000002818										2	0.021553310	0.000002818	2	0.021553310	0.000002818				2	0.021553310	0.000002818				3	0.032329965	0.000004227				1	0.010776655	0.000001409																			1	0.010776655	0.000001409	1	0.010776655	0.000001409																2	0.021553310	0.000002818							8	0.086213240	0.000011271				1	0.010776655	0.000001409	1	0.010776655	0.000001409																									1	0.010776655	0.000001409
MLC_L_5	39.2765	3.0439	39.2773	3.0440	2017-05-08	92.79	6015.0	2.00	71	1	0.010776655	0.0000831255	1	0.010776655	0.000083125				4	0.043106620	0.000332502	1	0.010776655	0.000083125																															183	1.972127876	0.015211970				26	0.280193032	0.002161264	2	0.021553310	0.000166251	1	0.010776655	0.000083125	144	1.551838329	0.011970075	6	0.064659930	0.000498753				47	0.506502788	0.003906899				2	0.021553310	0.000166251													1	0.010776655	0.000083125				13	0.140096516	0.001080632	140	1.508731708	0.011637573	12	0.129319861	0.000997506				20	0.215533101	0.001662510							1	0.010776655	0.000083125							4	0.043106620	0.000332502							3	0.032329965	0.000249377				9	0.096989896	0.000748130	2327	25.077276320	0.193433084	1455	15.680033110	0.003406976	338	3.642509410	0.000791449	733	7.899288159	0.060931006	1	0.010776655	0.000083125	68	0.732812544	0.005652535										1	0.010776655	0.000083125				8	0.086213240	0.000665004	4	0.043106620	0.000332502							1	0.010776655	0.000083125	4	0.043106620	0.000332502							3	0.032329965	0.000249377				2	0.021553310	0.000166251	4	0.043106620	0.000332502																						4	0.043106620	0.000332502																						1	0.010776655	0.000083125										2	0.021553310	0.000166251																																					1	0.010776655	0.000083125	1	0.010776655	0.000083125				1	0.010776655	0.000083125										11	0.118543206	0.000914381
MLC_L_6	39.2765	3.0439	39.2773	3.0440	2017-06-16	92.79	6015.0	2.00	39										56	0.603492683	0.004655029	10	0.107766551	0.000831255	2	0.021553310	0.000166251	2	0.021553310	0.000166251	2	0.021553310	0.000166251	24	0.258639721	0.001995012																			560	6.034926834	0.046550291	8	0.086213240	0.000665004	148	1.594944949	0.012302577	6	0.064659930	0.000498753	2	0.021553310	0.000166251	52	0.560386063	0.004322527	10	0.107766551	0.000831255	8	0.086213240	0.000665004	64	0.689705924	0.005320033													8	0.086213240	0.000665004	2	0.021553310	0.000166251							4	0.043106620	0.000332502	340	3.664062720	0.028262677	16	0.172426481	0.001330008				30	0.323299652	0.002493766				2	0.021553310	0.000166251										10	0.107766551	0.000831255							12	0.129319861	0.000997506	2	0.021553310	0.000166251	24	0.258639721	0.001995012	4318	46.533596550	0.358935993	1622	17.479734510	0.006914338	290	3.125229967	0.001236226	1286	13.858778410	0.106899418				342	3.685616030	0.028428928							2	0.021553310	0.000166251	4	0.043106620	0.000332502				46	0.495726133	0.003823774	26	0.280193032	0.002161264										16	0.172426481	0.001330008							4	0.043106620	0.000332502				8	0.086213240	0.000665004	12	0.129319861	0.000997506				2	0.021553310	0.000166251																14	0.150873171	0.001163757	12	0.129319861	0.000997506																4	0.043106620	0.000332502													2	0.021553310	0.000166251	2	0.021553310	0.000166251																																		2	0.021553310	0.000166251													2	0.021553310	0.000166251
MLC_L_7	39.2765	3.0439	39.2773	3.0440	2017-07-07	92.79	6015.0	2.00	21										4	0.043106620	0.000332502																																		224	2.413970733	0.018620116	8	0.086213240	0.000665004	72	0.775919164	0.005985037	20	0.215533101	0.001662510	4	0.043106620	0.000332502	116	1.250091987	0.009642560	12	0.129319861	0.000997506				16	0.172426481	0.001330008																									32	0.344852962	0.002660017	220	2.370864113	0.018287614	4	0.043106620	0.000332502				40	0.431066202	0.003325021																4	0.043106620	0.000332502							4	0.043106620	0.000332502				12	0.129319861	0.000997506	9876	106.430245400	0.820947631	2560	27.588236950	0.020266793	1528	16.466728930	0.012096742	1520	16.380515690	0.126350790				232	2.500183974	0.019285121										4	0.043106620	0.000332502				20	0.215533101	0.001662510	8	0.086213240	0.000665004							4	0.043106620	0.000332502	16	0.172426481	0.001330008													8	0.086213240	0.000665004	4	0.043106620	0.000332502																						8	0.086213240	0.000665004																												12	0.129319861	0.000997506				20	0.215533101	0.001662510	8	0.086213240	0.000665004																			4	0.043106620	0.000332502																			8	0.086213240	0.000665004													20	0.215533101	0.001662510
MLC_L_9	39.2765	3.0439	39.2773	3.0440	2017-09-24	92.79	6015.0	1.50	79				4	0.043106620	0.000443336	4	0.043106620	0.000443336				20	0.215533101	0.002216681				12	0.129319861	0.001330008																									204	2.198437632	0.022610141				228	2.457077354	0.025270158							24	0.258639721	0.002660017	12	0.129319861	0.001330008				20	0.215533101	0.002216681				8	0.086213240	0.000886672																4	0.043106620	0.000443336	204	2.198437632	0.022610141	12	0.129319861	0.001330008				8	0.086213240	0.000886672							16	0.172426481	0.001773344	8	0.086213240	0.000886672										4	0.043106620	0.000443336	4	0.043106620	0.000443336	4	0.043106620	0.000443336				44	0.474172823	0.004876697	5396	58.150830700	0.598060405	2616	28.191729640	0.005505224	1200	12.931986070	0.002525332	680	7.328125441	0.075367138				252	2.715717075	0.027930175										4	0.043106620	0.000443336				48	0.517279443	0.005320033	8	0.086213240	0.000886672										40	0.431066202	0.004433361													4	0.043106620	0.000443336	8	0.086213240	0.000886672																						12	0.129319861	0.001330008																															4	0.043106620	0.000443336	8	0.086213240	0.000886672	8	0.086213240	0.000886672																															4	0.043106620	0.000443336	16	0.172426481	0.001773344				4	0.043106620	0.000443336
MLC_L_11	39.2765	3.0439	39.2773	3.0440	2017-11-11	92.79	6015.0	14.00	48										5	0.053883275	0.000059375	55	0.592716028	0.000653129										20	0.215533101	0.000237501																			215	2.316980838	0.002553141				250	2.694163765	0.002968769	10	0.107766551	0.000118751				95	1.023782231	0.001128132	20	0.215533101	0.000237501				15	0.161649826	0.000178126																									45	0.484949478	0.000534378	175	1.885914635	0.002078138	5	0.053883275	0.000059375				15	0.161649826	0.000178126				15	0.161649826	0.000178126	5	0.053883275	0.000059375							5	0.053883275	0.000059375				5	0.053883275	0.000059375	10	0.107766551	0.000118751				45	0.484949478	0.000534378	11925	128.511611600	0.141610260	4165	44.884768320	0.014425741	2910	31.360066220	0.010078969	1485	16.003332760	0.017634485				440	4.741728226	0.005225033	5	0.053883275	0.000059375													45	0.484949478	0.000534378	40	0.431066202	0.000475003										20	0.215533101	0.000237501																10	0.107766551	0.000118751				5	0.053883275	0.000059375																			10	0.107766551	0.000118751				5	0.053883275	0.000059375										5	0.053883275	0.000059375													50	0.538832753	0.000593754																																		5	0.053883275	0.000059375	5	0.053883275	0.000059375				10	0.107766551	0.000118751				5	0.053883275	0.000059375							30	0.323299652	0.000356252
MLC_R_2	39.7294	3.2506	39.7292	3.2516	2017-02-26	93.92	4918.0	120.00	56													4	0.042588505	0.000006778	1	0.010647126	0.000001694																												15	0.159706893	0.000025417	2	0.021294252	0.000003389	1	0.010647126	0.000001694	1	0.010647126	0.000001694				2	0.021294252	0.000003389	8	0.085177009	0.000013556	2	0.021294252	0.000003389							1	0.010647126	0.000001694																						18	0.191648271	0.000030500	1	0.010647126	0.000001694				4	0.042588505	0.000006778				4	0.042588505	0.000006778										2	0.021294252	0.000003389										4	0.042588505	0.000006778	12	0.127765514	0.000020334	33	0.351355164	0.000055917	11	0.117118388	0.000039941	11	0.117118388	0.000039941	54	0.574944814	0.000091501				3	0.031941379	0.000005083	1	0.010647126	0.000001694							1	0.010647126	0.000001694				17	0.181001145	0.000028806	3	0.031941379	0.000005083										3	0.031941379	0.000005083	2	0.021294252	0.000003389				1	0.010647126	0.000001694				1	0.010647126	0.000001694							2	0.021294252	0.000003389																1	0.010647126	0.000001694	1	0.010647126	0.000001694																1	0.010647126	0.000001694							9	0.095824136	0.000015250							1	0.010647126	0.000001694																			2	0.021294252	0.000003389																			1	0.010647126	0.000001694				4	0.042588505	0.000006778	4	0.042588505	0.000006778				13	0.138412640	0.000022028
MLC_R_5	39.7294	3.2506	39.7292	3.2516	2017-05-13	93.92	4918.0	7.00	76										2	0.021294252	0.000058096	8	0.085177009	0.000232383																															8	0.085177009	0.000232383	1	0.010647126	0.000029048	18	0.191648271	0.000522861	1	0.010647126	0.000029048				8	0.085177009	0.000232383	1	0.010647126	0.000029048																																		12	0.127765514	0.000348574	1	0.010647126	0.000029048				10	0.106471262	0.000290478				7	0.074529883	0.000203335																									3	0.031941379	0.000087143	44	0.468473552	0.001278104	10	0.106471262	0.000026755	7	0.074529883	0.000018728	71	0.755945959	0.002062395				1	0.010647126	0.000029048																7	0.074529883	0.000203335	1	0.010647126	0.000029048							1	0.010647126	0.000029048	2	0.021294252	0.000058096							9	0.095824136	0.000261430							4	0.042588505	0.000116191																						2	0.021294252	0.000058096																			5	0.053235631	0.000145239							4	0.042588505	0.000116191							1	0.010647126	0.000029048																1	0.010647126	0.000029048	2	0.021294252	0.000058096				1	0.010647126	0.000029048																												2	0.021294252	0.000058096
MLC_R_6	39.7294	3.2506	39.7292	3.2516	2017-06-18	93.92	4918.0	1.00	36				1	0.010647126	0.000203335				1	0.010647126	0.000203335	2	0.021294252	0.000406669																															16	0.170354019	0.003253355				17	0.181001145	0.003456690	1	0.010647126	0.000203335				5	0.053235631	0.001016673	5	0.053235631	0.001016673	1	0.010647126	0.000203335	2	0.021294252	0.000406669																												13	0.138412640	0.002643351	1	0.010647126	0.000203335				11	0.117118388	0.002236682																6	0.063882757	0.001220008	1	0.010647126	0.000203335				1	0.010647126	0.000203335				10	0.106471262	0.002033347	37	0.393943669	0.007523383	7	0.074529883	0.000039537	1	0.010647126	0.000005648	60	0.638827571	0.012200081				6	0.063882757	0.001220008																14	0.149059767	0.002846686	1	0.010647126	0.000203335										3	0.031941379	0.000610004							1	0.010647126	0.000203335							1	0.010647126	0.000203335																						5	0.053235631	0.001016673																			1	0.010647126	0.000203335																																		1	0.010647126	0.000203335	1	0.010647126	0.000203335
MLC_R_7	39.7294	3.2506	39.7292	3.2516	2017-07-08	93.92	4918.0	1.00	20				1	0.010647126	0.000203335	1	0.010647126	0.000203335				4	0.042588505	0.000813339																															18	0.191648271	0.003660024	1	0.010647126	0.000203335	26	0.276825281	0.005286702							2	0.021294252	0.000406669	3	0.031941379	0.000610004																															1	0.010647126	0.000203335	9	0.095824136	0.001830012							55	0.585591940	0.011183408				3	0.031941379	0.000610004																			1	0.010647126	0.000203335	1	0.010647126	0.000203335	6	0.063882757	0.001220008	31	0.330060912	0.006303375	9	0.095824136	0.000091501	3	0.031941379	0.000030500	64	0.681416076	0.013013420				4	0.042588505	0.000813339																6	0.063882757	0.001220008													9	0.095824136	0.001830012	7	0.074529883	0.001423343							1	0.010647126	0.000203335	3	0.031941379	0.000610004	6	0.063882757	0.001220008																						4	0.042588505	0.000813339																												4	0.042588505	0.000813339																																											4	0.042588505	0.000813339
MLC_R_9	39.7294	3.2506	39.7292	3.2516	2017-09-17	93.92	4918.0	8.00	71																																														166	1.767422947	0.004219195	2	0.021294252	0.000050834	76	0.809181590	0.001931680	2	0.021294252	0.000050834				36	0.383296543	0.000915006	16	0.170354019	0.000406669																															10	0.106471262	0.000254168	8	0.085177009	0.000203335	2	0.021294252	0.000050834				6	0.063882757	0.000152501				2	0.021294252	0.000050834	6	0.063882757	0.000152501							4	0.042588505	0.000101667							16	0.170354019	0.000406669				4	0.042588505	0.000101667	1840	19.590712180	0.046766978	152	1.618363180	0.000435308	702	7.474282582	0.002010436	630	6.707689497	0.016012607				266	2.832135565	0.006760878							2	0.021294252	0.000050834	6	0.063882757	0.000152501				34	0.362002290	0.000864172													14	0.149059767	0.000355836							2	0.021294252	0.000050834				4	0.042588505	0.000101667																2	0.021294252	0.000050834										2	0.021294252	0.000050834																						2	0.021294252	0.000050834	2	0.021294252	0.000050834				2	0.021294252	0.000050834																																											2	0.021294252	0.000050834				84	0.894358600	0.002135014	2	0.021294252	0.000050834				4	0.042588505	0.000101667
MLC_R_11	39.7294	3.2506	39.7292	3.2516	2017-11-12	93.92	4918.0	22.00	56										7	0.074529883	0.000064697	14	0.149059767	0.000129395	1	0.010647126	0.000009242																1	0.010647126	0.000009242										294	3.130255098	0.002717291	1	0.010647126	0.000009242	34	0.362002290	0.000314245	1	0.010647126	0.000009242				80	0.851770095	0.000739399	16	0.170354019	0.000147880	8	0.085177009	0.000073940	45	0.479120678	0.000415912																									18	0.191648271	0.000166365	85	0.905005726	0.000785611	4	0.042588505	0.000036970	1	0.010647126	0.000009242	2	0.021294252	0.000018485							1	0.010647126	0.000009242							8	0.085177009	0.000073940							11	0.117118388	0.000101667	2	0.021294252	0.000018485	2	0.021294252	0.000018485	2374	25.276277560	0.021941661	978	10.412889410	0.003551095	1074	11.435013520	0.003899669	1661	17.684876590	0.015351769	1	0.010647126	0.000009242	255	2.715017177	0.002356834										8	0.085177009	0.000073940				5	0.053235631	0.000046212	8	0.085177009	0.000073940				1	0.010647126	0.000009242				2	0.021294252	0.000018485	1	0.010647126	0.000009242				1	0.010647126	0.000009242							3	0.031941379	0.000027727																									1	0.010647126	0.000009242																						1	0.010647126	0.000009242	3	0.031941379	0.000027727																																					1	0.010647126	0.000009242																99	1.054065492	0.000915006	37	0.393943669	0.000341972
SIC_T_3	37.8261	15.2700	37.8254	15.2704	2017-03-09	86.61	5110.0	166.00	67							1	0.011546173	0.000001179				3	0.034638520	0.000003537	2	0.023092347	0.000002358	3	0.034638520	0.000003537																									3	0.034638520	0.000003537				7	0.080823214	0.000008252	2	0.023092347	0.000002358				1	0.011546173	0.000001179	4	0.046184694	0.000004716	3	0.034638520	0.000003537	5	0.057730867	0.000005894																																																							1	0.011546173	0.000001179													2	0.023092347	0.000002358	52	0.600401016	0.000061302							42	0.484939282	0.000049513				3	0.034638520	0.000003537							1	0.011546173	0.000001179							15	0.173192601	0.000017683	1	0.011546173	0.000001179										1	0.011546173	0.000001179																1	0.011546173	0.000001179							1	0.011546173	0.000001179				2	0.023092347	0.000002358				2	0.023092347	0.000002358	6	0.069277040	0.000007073	1	0.011546173	0.000001179																									1	0.011546173	0.000001179	3	0.034638520	0.000003537	1	0.011546173	0.000001179																																		4	0.046184694	0.000004716	3	0.034638520	0.000003537	2	0.023092347	0.000002358	2	0.023092347	0.000002358
SIC_T_6	37.8259	15.2699	37.8251	15.2708	2017-06-27	114.35	7353.0	0.50	110																																																				16	0.139918269	0.004351965																																														2	0.017489784	0.000543996																																																																																																																																					2	0.017489784	0.000543996																																					1	0.008744892	0.000271998
SIC_T_7	37.8259	15.2700	37.8252	15.2707	2017-07-11	100.80	6296.0	0.75	14							1	0.009920330	0.000211775							1	0.009920330	0.000211775																																		19	0.188486279	0.004023719													1	0.009920330	0.000211775	2	0.019840661	0.000423549																									1	0.009920330	0.000211775	2	0.019840661	0.000423549										1	0.009920330	0.000211775																												2	0.019840661	0.000423549	11	0.109123635	0.002329521							23	0.228167601	0.004870817				1	0.009920330	0.000211775																2	0.019840661	0.000423549	5	0.049601652	0.001058873										1	0.009920330	0.000211775																																								1	0.009920330	0.000211775																																		2	0.019840661	0.000423549																						1	0.009920330	0.000211775
SIC_T_8	37.8259	15.2704	37.8251	15.2709	2017-08-08	93.64	6955.0	0.50	28							1	0.010679494	0.000287563																																					1	0.010679494	0.000287563				33	0.352423305	0.009489576							4	0.042717976	0.001150252																																					2	0.021358988	0.000575126																																								1	0.010679494	0.000287563	6	0.064076965	0.001725377							1	0.010679494	0.000287563																						3	0.032038482	0.000862689																																																							5	0.053397470	0.001437815													1	0.010679494	0.000287563													1	0.010679494	0.000287563				1	0.010679494	0.000287563	1	0.010679494	0.000287563																																								1	0.010679494	0.000287563
SIC_T_9	37.8258	15.2700	37.8250	15.2707	2017-09-13	103.32	7204.0	0.50	36																3	0.029035843	0.000832871	1	0.009678614	0.000277624																									2	0.019357229	0.000555247				28	0.271001200	0.007773459							1	0.009678614	0.000277624	1	0.009678614	0.000277624	1	0.009678614	0.000277624																															1	0.009678614	0.000277624																																											2	0.019357229	0.000555247							8	0.077428914	0.002220988				2	0.019357229	0.000555247																3	0.029035843	0.000832871	3	0.029035843	0.000832871																												1	0.009678614	0.000277624										1	0.009678614	0.000277624																																								1	0.009678614	0.000277624				1	0.009678614	0.000277624																																											3	0.029035843	0.000832871
SIC_T_11	37.8260	15.2698	37.8253	15.2705	2017-11-25	102.10	6122.0	0.50	73				1	0.009794075	0.000326691													3	0.029382224	0.000980072																															3	0.029382224	0.000980072																																														2	0.019588150	0.000653381																																											6	0.058764449	0.001960144							2	0.019588150	0.000653381				1	0.009794075	0.000326691																			2	0.019588150	0.000653381																																																				3	0.029382224	0.000980072
SIC_T_PA	37.8260	15.2700	37.8252	15.2710	2019-08-27	124.22	6973.0	0.50																																															2	0.016100354	0.000573641				21	0.169053719	0.006023232							2	0.016100354	0.000573641																																		1	0.008050177	0.000286821	3	0.024150531	0.000860462																																											14	0.112702480	0.004015488			#999.999000000	7	0.056351240	#999.999000000	1	0.008050177	0.000286821																																																																															2	0.016100354	0.000573641																																		2	0.016100354	0.000573641
SIC_L_3	37.8851	15.3136	37.8844	15.3130	2017-03-09	96.62	3679.0	166.00	67																			1	0.010349847	0.000001637							1	0.010349847	0.000001637																						3	0.031049540	0.000004912																																																																															1	0.010349847	0.000001637							1	0.010349847	0.000001637										5	0.051749233	0.000008187																			2	0.020699693	0.000003275	3	0.031049540	0.000004912																																														3	0.031049540	0.000004912																																		2	0.020699693	0.000003275																			25	0.258746163	0.000040936							4	0.041399386	0.000006550													10	0.103498465	0.000016374																						1	0.010349847	0.000001637
SIC_L_6	37.8850	15.3137	37.8844	15.3130	2017-06-27	97.44	3662.0		110																			7	0.071840873	0.000017378																									1	0.010262982	0.000002482				13	0.133418765	0.000032272							5	0.051314910	0.000012413				2	0.020525964	0.000004965	1	0.010262982	0.000002482																												1	0.010262982	0.000002482							1	0.010262982	0.000002482																2	0.020525964	0.000004965													1	0.010262982	0.000002482	3	0.030788946	0.000007448							9	0.092366837	0.000022343							3	0.030788946	0.000007448													18	0.184733675	0.000044685	1	0.010262982	0.000002482										1	0.010262982	0.000002482																1	0.010262982	0.000002482	2	0.020525964	0.000004965	1	0.010262982	0.000002482	1	0.010262982	0.000002482	1	0.010262982	0.000002482	3	0.030788946	0.000007448	1	0.010262982	0.000002482				10	0.102629819	0.000024825	1	0.010262982	0.000002482							1	0.010262982	0.00000248							2	0.020525964	0.000004965													2	0.020525964	0.000004965																			3	0.030788946	0.000007448	15	0.153944729	0.000037237				1	0.010262982	0.000002482
SIC_L_7	37.8853	15.3140	37.8846	15.3132	2017-07-10	99.58	3770.0	0.50	13													1	0.010042038	0.000530504																															1	0.010042038	0.000530504																																																																																														1	0.010042038	0.000530504	2	0.020084076	0.001061008										2	0.020084076	0.001061008																																																																			1	0.010042038	0.000530504							1	0.010042038	0.000530504																																														16	0.160672607	0.008488064							1	0.010042038	0.000530504
SIC_L_8	37.8851	15.3138	37.8845	15.3130	2017-08-10	96.69	3593.0	1.00	31				1	0.010342630	0.000278319							4	0.041370519	0.001113276	1	0.010342630	0.000278319				1	0.010342630	0.000278319																1	0.010342630	0.000278319				4	0.041370519	0.001113276				29	0.299936264	0.008071250																1	0.010342630	0.000278319																												1	0.010342630	0.000278319										1	0.010342630	0.000278319																															4	0.041370519	0.001113276							4	0.041370519	0.001113276				1	0.010342630	0.000278319																1	0.010342630	0.000278319																																																																															1	0.010342630	0.000278319																						3	0.031027889	0.000834957	1	0.010342630	0.000278319				2	0.020685260	0.000556638	4	0.041370519	0.001113276				2	0.020685260	0.000556638
SIC_L_9	37.8854	15.3140	37.8848	15.3133	2017-09-12	98.30	3691.0	1.00	33				1	0.010172970	0.000270929																												1	0.010172970	0.000270929																2	0.020345939	0.000541859																1	0.010172970	0.000270929																																																																									3	0.030518909	0.000812788							1	0.010172970	0.000270929	1	0.010172970	0.000270929																																																																									1	0.010172970	0.000270929																																		2	0.020345939	0.000541859													4	0.040691879	0.001083717							1	0.010172970	0.000270929																									1	0.010172970	0.000270929
SIC_L_11	37.8851	15.3137	37.8844	15.3129	2017-11-25	99.07	3682.0	68.00	74													3	0.030282683	0.000011982				1	0.010094228	0.000003994																																																																																																																			1	0.010094228	0.000003994							1	0.010094228	0.000003994							2	0.020188455	0.000007988	1	0.010094228	0.000003994																																																																												1	0.010094228	0.000003994																						1	0.010094228	0.000003994																						8	0.080753822	0.000031952							3	0.030282683	0.000011982	3	0.030282683	0.000011982	2	0.020188455	0.000007988	4	0.040376911	0.000015976										1	0.010094228	0.000003994
SIC_L_PA	37.8849	15.3134	37.8844	15.3130	2019-08-27	58.42	2198.0	0.50																																																					71	1.215253621	0.064604186							3	0.051348745	0.002729754							1	0.017116248	0.000909918																																																																									4	0.068464993	0.003639672			#999.999000000			#999.999000000	2	0.034232496	0.001819836				1	0.017116248	0.000909918																																																							1	0.017116248	0.000909918							1	0.017116248	0.000909918							2	0.034232496	0.001819836													3	0.051348745	0.002729754																			1	0.017116248	0.000909918	2	0.034232496	0.001819836																			13	0.222511226	0.011828935										2	0.034232496	0.001819836
SIC_R_3	37.9068	15.3373	37.9071	15.3377	2017-03-09	45.97	1243.0	190.00	67																																																				2	0.043502126	0.000008468																																																																																																				2	0.043502126	0.000008468																						2	0.043502126	0.000008468							1	0.021751063	0.000004234																																																																																																							2	0.043502126	0.000008468	11	0.239261694	0.000046577										4	0.087004252	0.000016937
SIC_R_6	37.9068	15.3372	37.9061	15.3369	2017-06-27	81.34	1971.0		110																																																				43	0.528649540	0.000198330																																														2	0.024588351	0.000009225																2	0.024588351	0.000009225																						1	0.012294175	0.000004612										1	0.012294175	0.000004612	2	0.024588351	0.000009225	1	0.012294175	0.000004612	3	0.036882526	0.000013837													2	0.024588351	0.000009225																																					1	0.012294175	0.000004612																8	0.098353403	0.000036899																												1	0.012294175	0.000004612							1	0.012294175	0.000004612																			1	0.012294175	0.000004612	1	0.012294175	0.000004612
SIC_R_7	37.9072	15.3378	37.9066	15.3369	2017-07-12	97.58	2682.0		15										1	0.010248089	0.000024857	2	0.020496177	0.000049714				2	0.020496177	0.000049714																									2	0.020496177	0.000049714				3	0.030744266	0.000074571													1	0.010248089	0.000024857																																		1	0.010248089	0.000024857																																					3	0.030744266	0.000074571	5	0.051240443	0.000124285							1	0.010248089	0.000024857																																																																						1	0.010248089	0.000024857							2	0.020496177	0.000049714																									1	0.010248089	0.000024857										1	0.010248089	0.000024857							2	0.020496177	0.000049714										2	0.020496177	0.000049714	1	0.010248089	0.000024857
SIC_R_8	37.9071	15.3375	37.9064	15.3368	2017-08-28	91.76	2685.0	4.00	47													1	0.010898559	0.000093110				1	0.010898559	0.000093110																															1	0.010898559	0.000093110							1	0.010898559	0.000093110																																																	1	0.010898559	0.000093110																																								1	0.010898559	0.000093110																																					1	0.010898559	0.000093110																																																																															1	0.010898559	0.000093110							1	0.010898559	0.000093110
SIC_R_9	37.9071	15.3377	37.9066	15.3369	2017-09-11	93.70	2654.0		14				1	0.010672059	0.000026914							4	0.042688236	0.000107654				2	0.021344118	0.000053827																																											1	0.010672059	0.000026914																																								1	0.010672059	0.000026914				1	0.010672059	0.000026914	2	0.021344118	0.000053827																																					3	0.032016177	0.000080741	1	0.010672059	0.000026914																			1	0.010672059	0.000026914																																																										1	0.010672059	0.000026914																												1	0.010672059	0.000026914				1	0.010672059	0.000026914							1	0.010672059	0.000026914							1	0.010672059	0.000026914	2	0.021344118	0.000053827																			1	0.010672059	0.000026914
SIC_R_11	37.9071	15.3376	37.9065	15.3369	2017-11-24	90.49	2568.0		74													2	0.022100716	0.000010525	1	0.011050358	0.000005262																																											1	0.011050358	0.000005262																																																	1	0.011050358	0.000005262																												2	0.022100716	0.000010525																																		2	0.022100716	0.000010525																			2	0.022100716	0.000010525										1	0.011050358	0.000005262																																																																															1	0.011050358	0.000005262				4	0.044201433	0.000021049
RAB_T_5	44.8240	14.7472	44.8241	14.7465	2017-05-25	53.81	4476.0	208.00	144				1	0.018583481	0.000001074				2	0.037166961	0.000002148	1	0.018583481	0.000001074				3	0.055750442	0.000003222																									20	0.371669611	0.000021482				10	0.185834805	0.000010741	2	0.037166961	0.000002148				7	0.130084364	0.000007519				3	0.055750442	0.000003222	3	0.055750442	0.000003222																												3	0.055750442	0.000003222							2	0.037166961	0.000002148				2	0.037166961	0.000002148																												4	0.074333922	0.000004296	26	0.483170494	0.000040339										1	0.018583481	0.000001074																									1	0.018583481	0.000001074																																																													8	0.148667844	0.000008593				1	0.018583481	0.000001074																2	0.037166961	0.000002148
RAB_T_8	44.8240	14.7472	44.8241	14.7465	2017-08-14	53.81	4476.0	2.00	81	9	0.167251325	0.0010053620	32	0.594671377	0.003574620	46	0.854840105	0.005138517	12	0.223001766	0.001340483	6	0.111500883	0.000670241	4	0.074333922	0.000446828	12	0.223001766	0.001340483	42	0.780506183	0.004691689				2	0.037166961	0.000223414										2	0.037166961	0.000223414	1	0.018583481	0.000111707	124	2.304351587	0.013851653	56	1.040674910	0.006255585	172	3.196358653	0.019213584	12	0.223001766	0.001340483	23	0.427420052	0.002569258	101	1.876931535	0.011282395	8	0.148667844	0.000893655	43	0.799089663	0.004803396	2	0.037166961	0.000223414	31	0.576087897	0.003462913	2	0.037166961	0.000223414	2	0.037166961	0.000223414							3	0.055750442	0.000335121							8	0.148667844	0.000893655	3	0.055750442	0.000335121	2	0.037166961	0.000223414	3	0.055750442	0.000335121	2	0.037166961	0.000223414										7	0.130084364	0.000781948	2	0.037166961	0.000223414	1	0.018583481	0.000111707	8	0.148667844	0.000893655							1	0.018583481	0.000111707	2	0.037166961	0.000223414	43	0.799089663	0.004803396	30	0.557504416	0.000082746				9	0.167251325	0.001005362	14	0.260168728	0.001563896	135	2.508769873	0.015080429	12	0.223001766	0.001340483	1	0.018583481	0.000111707	2	0.037166961	0.000223414	8	0.148667844	0.000893655																17	0.315919169	0.001899017				18	0.334502650	0.002010724	2	0.037166961	0.000223414	2	0.037166961	0.000223414	3	0.055750442	0.000335121	3	0.055750442	0.000335121				84	1.561012365	0.009383378	5	0.092917403	0.000558534	16	0.297335689	0.001787310	63	1.170759274	0.007037534	43	0.799089663	0.004803396	43	0.799089663	0.004803396	21	0.390253091	0.002345845				13	0.241585247	0.001452189	2	0.037166961	0.000223414	1	0.018583481	0.000111707				52	0.966340988	0.005808758										4	0.074333922	0.000446828	153	2.843272523	0.017091153	63	1.170759274	0.007037534	3	0.055750442	0.000335121	211	3.921114394	0.023570152							43	0.799089663	0.004803396																40	0.743339222	0.004468275	3	0.055750442	0.000335121	3	0.055750442	0.000335121													32	0.594671377	0.003574620	4	0.074333922	0.000446828
RAB_T_10	44.8240	14.7472	44.8241	14.7465	2017-10-02	53.81	4476.0	2.00	49	1	0.018583481	0.0001117070	9	0.167251325	0.001005362	16	0.297335689	0.001787310	7	0.130084364	0.000781948	4	0.074333922	0.000446828				7	0.130084364	0.000781948	3	0.055750442	0.000335121	3	0.055750442	0.000335121													2	0.037166961	0.000223414	1	0.018583481	0.000111707	24	0.446003533	0.002680965	13	0.241585247	0.001452189	68	1.263676677	0.007596068							12	0.223001766	0.001340483	3	0.055750442	0.000335121	30	0.557504416	0.003351206	12	0.223001766	0.001340483	3	0.055750442	0.000335121	1	0.018583481	0.000111707																			2	0.037166961	0.000223414													1	0.018583481	0.000111707							1	0.018583481	0.000111707	1	0.018583481	0.000111707	4	0.074333922	0.000446828	3	0.055750442	0.000335121													18	0.334502650	0.002010724	3	0.055750442	0.000013678				2	0.037166961	0.000223414				35	0.650421819	0.003909741	9	0.167251325	0.001005362							2	0.037166961	0.000223414										2	0.037166961	0.000223414				2	0.037166961	0.000223414				4	0.074333922	0.000446828	1	0.018583481	0.000111707				2	0.037166961	0.000223414	1	0.018583481	0.000111707				19	0.353086130	0.002122431	1	0.018583481	0.000111707	3	0.055750442	0.000335121	14	0.260168728	0.001563896	35	0.650421819	0.003909741	24	0.446003533	0.002680965	12	0.223001766	0.001340483										1	0.018583481	0.000111707				43	0.799089663	0.004803396													29	0.538920936	0.003239500	17	0.315919169	0.001899017				86	1.598179326	0.009606792							11	0.204418286	0.001228776																18	0.334502650	0.002010724																			38	0.706172261	0.004244861	5	0.092917403	0.000558534
RAB_L_5	44.7854	14.7051	44.7851	14.7075	2017-05-25	196.45	4389.0	243.00	144	1	0.005090475	0.0000009376	2	0.010180951	0.000001875	1	0.005090475	0.000000938	6	0.030542852	0.000005626	2	0.010180951	0.000001875				7	0.035633327	0.000006563																									24	0.122171407	0.000022503	1	0.005090475	0.000000938	30	0.152714258	0.000028129	3	0.015271426	0.000002813				3	0.015271426	0.000002813				4	0.020361901	0.000003750	4	0.020361901	0.000003750																												6	0.030542852	0.000005626							4	0.020361901	0.000003750				3	0.015271426	0.000002813																												17	0.086538080	0.000015940	30	0.152714258	0.000047467										2	0.010180951	0.000001875																																																							1	0.005090475	0.000000938							1	0.005090475	0.000000938																												4	0.020361901	0.000003750							1	0.005090475	0.000000938							10	0.050904753	0.000009376
RAB_L_8	44.7854	14.7051	44.7851	14.7075	2017-08-14	196.45	4389.0	2.00	81	23	0.117080931	0.0026201870	31	0.157804734	0.003531556	46	0.234161863	0.005240374	2	0.010180951	0.000227842	8	0.040723802	0.000911369	1	0.005090475	0.000113921	14	0.071266654	0.001594896	12	0.061085703	0.001367054										1	0.005090475	0.000113921				1	0.005090475	0.000113921				18	0.091628555	0.002050581	7	0.035633327	0.000797448	71	0.361423745	0.008088403	2	0.010180951	0.000227842	2	0.010180951	0.000227842	34	0.173076159	0.003873320	3	0.015271426	0.000341763	6	0.030542852	0.000683527	2	0.010180951	0.000227842	17	0.086538080	0.001936660										1	0.005090475	0.000113921				1	0.005090475	0.000113921				3	0.015271426	0.000341763	5	0.025452376	0.000569606	3	0.015271426	0.000341763	4	0.020361901	0.000455685													3	0.015271426	0.000341763	1	0.005090475	0.000113921	2	0.010180951	0.000227842	1	0.005090475	0.000113921													28	0.142533308	0.003189793	7	0.035633327	0.000019690				20	0.101809506	0.002278423	1	0.005090475	0.000113921	14	0.071266654	0.001594896	4	0.020361901	0.000455685																									1	0.005090475	0.000113921				1	0.005090475	0.000113921																12	0.061085703	0.001367054	4	0.020361901	0.000455685	3	0.015271426	0.000341763	12	0.061085703	0.001367054	45	0.229071387	0.005126452	10	0.050904753	0.001139212	11	0.055995228	0.001253133										1	0.005090475	0.000113921				67	0.341061844	0.007632718													32	0.162895209	0.003645477	18	0.091628555	0.002050581				53	0.269795190	0.006037822							3	0.015271426	0.000341763																8	0.040723802	0.000911369																			7	0.035633327	0.000797448	6	0.030542852	0.000683527
RAB_L_10	44.7854	14.7051	44.7851	14.7075	2017-10-02	196.45	4389.0	2.00	49				1	0.005090475	0.000113921	4	0.020361901	0.000455685	5	0.025452376	0.000569606	8	0.040723802	0.000911369				4	0.020361901	0.000455685				3	0.015271426	0.000341763							1	0.005090475	0.000113921										18	0.091628555	0.002050581	3	0.015271426	0.000341763	36	0.183257110	0.004101162							4	0.020361901	0.000455685				2	0.010180951	0.000227842																																																				1	0.005090475	0.000113921																						3	0.015271426	0.000341763	1	0.005090475	0.000004650				5	0.025452376	0.000569606																																																																			2	0.010180951	0.000227842	5	0.025452376	0.000569606	2	0.010180951	0.000227842																			2	0.010180951	0.000227842													7	0.035633327	0.000797448	2	0.010180951	0.000227842				13	0.066176179	0.001480975																									3	0.015271426	0.000341763
RAB_R_5	44.7076	14.8318	44.7074	14.8311	2017-05-25	64.21	1055.0	243.00	144																																														6	0.093437221	0.000023404				6	0.093437221	0.000023404	1	0.015572870	0.000003901				1	0.015572870	0.000003901																																					1	0.015572870	0.000003901							1	0.015572870	0.000003901				2	0.031145740	0.000007801																												3	0.046718611	0.000011702	7	0.109010092	0.000046077				2	0.031145740	0.000007801				1	0.015572870	0.000003901																																																																																								1	0.015572870	0.000003901				1	0.015572870	0.000003901																1	0.015572870	0.000003901
RAB_R_8	44.7076	14.8318	44.7074	14.8311	2017-08-14	64.21	1055.0	2.00	81	1	0.015572870	0.0004739340	1	0.015572870	0.000473934	5	0.077864351	0.002369668				4	0.062291481	0.001895735				1	0.015572870	0.000473934	3	0.046718611	0.001421801																						19	0.295884534	0.009004739	2	0.031145740	0.000947867	63	0.981090824	0.029857820	1	0.015572870	0.000473934				15	0.233593053	0.007109005	2	0.031145740	0.000947867	6	0.093437221	0.002843602							1	0.015572870	0.000473934																																																													2	0.031145740	0.000947867				10	0.155728702	0.004739336	3	0.046718611	0.000035106				6	0.093437221	0.002843602	1	0.015572870	0.000473934	5	0.077864351	0.002369668																																		1	0.015572870	0.000473934										2	0.031145740	0.000947867				4	0.062291481	0.001895735							4	0.062291481	0.001895735	15	0.233593053	0.007109005	6	0.093437221	0.002843602	1	0.015572870	0.000473934																8	0.124582962	0.003791469													30	0.467186107	0.014218009	2	0.031145740	0.000947867				71	1.105673785	0.033649289																									4	0.062291481	0.001895735																			2	0.031145740	0.000947867	3	0.046718611	0.001421801
RAB_R_10	44.7076	14.8318	44.7074	14.8311	2017-10-02	64.21	1055.0	2.00	49				3	0.046718611	0.001421801	8	0.124582962	0.003791469				12	0.186874443	0.005687204	2	0.031145740	0.000947867	2	0.031145740	0.000947867	14	0.218020183	0.006635071				1	0.015572870	0.000473934																30	0.467186107	0.014218009	14	0.218020183	0.006635071	83	1.292548228	0.039336493				4	0.062291481	0.001895735	18	0.280311664	0.008530806	6	0.093437221	0.002843602	14	0.218020183	0.006635071																																																				1	0.015572870	0.000473934	1	0.015572870	0.000473934																			12	0.186874443	0.005687204	8	0.124582962	0.000154754				4	0.062291481	0.001895735				14	0.218020183	0.006635071	2	0.031145740	0.000947867																			1	0.015572870	0.000473934										2	0.031145740	0.000947867																7	0.109010092	0.003317536	1	0.015572870	0.000473934	3	0.046718611	0.001421801	16	0.249165923	0.007582938	38	0.591769068	0.018009479	14	0.218020183	0.006635071	3	0.046718611	0.001421801																28	0.436040366	0.013270142													36	0.560623328	0.017061611	3	0.046718611	0.001421801				63	0.981090824	0.029857820																									7	0.109010092	0.003317536
MLT_T_3	35.9334	14.3448	35.9341	14.3444	2017-03-30	82.84	3230.0	0.50	88										1	0.012071287	0.000619195	69	0.832918817	0.042724458																															15	0.181069308	0.009287926				184	2.221116846	0.113931889							35	0.422495052	0.021671827	1	0.012071287	0.000619195	1	0.012071287	0.000619195	12	0.144855446	0.007430341																												3	0.036213862	0.001857585																																		1	0.012071287	0.000619195				2	0.024142574	0.001238390	129	1.557196049	0.079876161	10	0.120712872	0.000035182	294	3.548958438	0.001034337	49	0.591493073	0.030340557																						1	0.012071287	0.000619195																															11	0.132784159	0.006811146																						14	0.168998021	0.008668731	3	0.036213862	0.001857585										2	0.024142574	0.001238390																			6	0.072427723	0.003715170	5	0.060356436	0.003095975																									3	0.036213862	0.001857585																2	0.024142574	0.001238390										3	0.036213862	0.001857585
MLT_T_5	35.9334	14.3448	35.9341	14.3444	2017-05-24	82.84	3230.0	0.50	55							1	0.012071287	0.000619195				7	0.084499010	0.004334365																															18	0.217283170	0.011145511				589	7.109988163	0.364705882							19	0.229354457	0.011764706				4	0.048285149	0.002476780	16	0.193140595	0.009907121																												3	0.036213862	0.001857585																																											16	0.193140595	0.009907121	225	2.716039621	0.001266535				27	0.325924755	0.016718266																1	0.012071287	0.000619195				5	0.060356436	0.003095975	1	0.012071287	0.000619195																															3	0.036213862	0.001857585	2	0.024142574	0.001238390				1	0.012071287	0.000619195	1	0.012071287	0.000619195							23	0.277639606	0.014241486	5	0.060356436	0.003095975																									5	0.060356436	0.003095975							10	0.120712872	0.006191950																			1	0.012071287	0.000619195				5	0.060356436	0.003095975																2	0.024142574	0.001238390
MLT_T_6	35.9334	14.3448	35.9341	14.3444	2017-06-29	82.84	2907.0	0.50	36				9	0.108641585	0.006191950				3	0.036213862	0.002063983	14	0.168998021	0.009631923																															20	0.241425744	0.013759890				546	6.590922813	0.375644995							19	0.229354457	0.013071895				5	0.060356436	0.003439972	24	0.289710893	0.016511868																																																							1	0.012071287	0.000687994										2	0.024142574	0.001375989	1	0.012071287	0.000687994	54	0.651849509	0.037151703	37	0.446637627	0.000353553				17	0.205211882	0.011695906							8	0.096570298	0.005503956													5	0.060356436	0.003439972	3	0.036213862	0.002063983	1	0.012071287	0.000687994																									3	0.036213862	0.002063983				6	0.072427723	0.004127967										5	0.060356436	0.003439972				10	0.120712872	0.006879945	14	0.168998021	0.009631923																4	0.048285149	0.002751978							3	0.036213862	0.002063983							15	0.181069308	0.010319917																			2	0.024142574	0.001375989										2	0.024142574	0.001375989
MLT_T_7	35.9344	14.3446	35.9336	14.3449	2017-07-18	88.57	2261.0	0.50	19										3	0.033871746	0.002653693	9	0.101615239	0.007961079																															24	0.270973971	0.021229544				723	8.163090871	0.639540027							9	0.101615239	0.007961079				2	0.022581164	0.001769129	21	0.237102224	0.018575851																												2	0.022581164	0.001769129																																								1	0.011290582	0.000884564	28	0.316136299	0.024767802	96	1.083895883	0.002234689				3	0.033871746	0.002653693																						9	0.101615239	0.007961079													1	0.011290582	0.000884564																																		2	0.022581164	0.001769129				18	0.203230478	0.015922158	4	0.045162328	0.003538257																									3	0.033871746	0.002653693				2	0.022581164	0.001769129	10	0.112905821	0.008845644																			6	0.067743493	0.005307386				2	0.022581164	0.001769129				1	0.011290582	0.000884564
MLT_T_8	35.9334	14.3448	35.9341	14.3444	2017-08-23	82.84	1292.0	0.25	36													3	0.036213862	0.009287926				4	0.048285149	0.012383901																									12	0.144855446	0.037151703				110	1.327841592	0.340557276										1	0.012071287	0.003095975				20	0.241425744	0.061919505																												1	0.012071287	0.003095975																																											55	0.663920796	0.170278638	60	0.724277232	0.001289990				15	0.181069308	0.046439628																1	0.012071287	0.003095975																																											7	0.084499010	0.021671827										1	0.012071287	0.003095975				10	0.120712872	0.030959752	2	0.024142574	0.006191950																5	0.060356436	0.015479876							1	0.012071287	0.003095975				3	0.036213862	0.009287926	3	0.036213862	0.009287926																																		3	0.036213862	0.009287926				3	0.036213862	0.009287926
MLT_T_9	35.9334	14.3448	35.9341	14.3444	2017-09-15	82.84	1009.4	0.16	23							2	0.024142574	0.012383901																																					5	0.060356436	0.030959752				121	1.460625752	0.749226006							4	0.048285149	0.024767802	2	0.024142574	0.012383901				12	0.144855446	0.074303406																																																																									40	0.482851488	0.247678019							20	0.241425744	0.123839009																																																																																		2	0.024142574	0.012383901																																		3	0.036213862	0.018575851																																		3	0.036213862	0.018575851				2	0.024142574	0.012383901
MLT_T_11	35.9334	14.3448	35.9341	14.3444	2017-11-16	82.84	3230.0	0.50	62																																														15	0.181069308	0.009287926	2	0.024142574	0.001238390	44	0.531136637	0.027244582	1	0.012071287	0.000619195				4	0.048285149	0.002476780	2	0.024142574	0.001238390				12	0.144855446	0.007430341																																																																									371	4.478447553	0.229721362	125	1.508910900	0.000624189	889	10.731374320	0.004439229	15	0.181069308	0.009287926																																																																									1	0.012071287	0.000619195							2	0.024142574	0.001238390																												1	0.012071287	0.000619195																									1	0.012071287	0.000619195													2	0.024142574	0.001238390										1	0.012071287	0.000619195							1	0.012071287	0.000619195
MLT_T_PA	35.9334	14.3448	35.9341	14.3444	2019-10-01	82.84	3230.0	0.50														1	0.012071287	0.000619195																															22	0.265568318	0.013622291				563	6.796134696	0.348606811				1	0.012071287	0.000619195	7	0.084499010	0.004334365	4	0.048285149	0.002476780	3	0.036213862	0.001857585	12	0.144855446	0.007430341																												30	0.362138616	0.018575851																									4	0.048285149	0.002476780													3	0.036213862	0.001857585	229	2.764324770	0.141795666	93	1.122629710	#999.999000000	359	4.333592106	#999.999000000	122	1.472697039	0.075541796	1	0.012071287	0.000619195	1	0.012071287	0.000619195	1	0.012071287	0.000619195													2	0.024142574	0.001238390	2	0.024142574	0.001238390													4	0.048285149	0.002476780										1	0.012071287	0.000619195	22	0.265568318	0.013622291				1	0.012071287	0.000619195							2	0.024142574	0.001238390							49	0.591493073	0.030340557	5	0.060356436	0.003095975										17	0.205211882	0.010526316				5	0.060356436	0.003095975							6	0.072427723	0.003715170				3	0.036213862	0.001857585	13	0.156926734	0.008049536																			1	0.012071287	0.000619195																						5	0.060356436	0.003095975				3	0.036213862	0.001857585
MLT_L_3	35.9207	14.3439	35.9204	14.3429	2017-03-31	96.82	3187.0	0.75	89				1	0.010328589	0.000418366	11	0.113614479	0.004602029				2	0.020657178	0.000836733																															110	1.136144793	0.046020291	3	0.030985767	0.001255099	129	1.332387985	0.053969250	1	0.010328589	0.000418366	1	0.010328589	0.000418366	39	0.402814972	0.016316285	2	0.020657178	0.000836733	4	0.041314356	0.001673465	37	0.382157794	0.015479552																									1	0.010328589	0.000418366	22	0.227228959	0.009204058	6	0.061971534	0.002510198																						2	0.020657178	0.000836733							6	0.061971534	0.002510198				12	0.123943068	0.005020395	83	0.857272889	0.034724401	5	0.051642945	0.000017628	111	1.146473382	0.000391337	194	2.003746272	0.081163058							2	0.020657178	0.000836733				5	0.051642945	0.002091831							12	0.123943068	0.005020395										1	0.010328589	0.000418366																						1	0.010328589	0.000418366																						4	0.041314356	0.001673465				1	0.010328589	0.000418366																			3	0.030985767	0.001255099																																		3	0.030985767	0.001255099				2	0.020657178	0.000836733																			1	0.010328589	0.000418366
MLT_L_5	35.9207	14.3439	35.9204	14.3429	2017-05-23	96.82	3187.0	0.50	53										14	0.144600246	0.008785692	3	0.030985767	0.001882648																															48	0.495772273	0.030122372				248	2.561490079	0.155632256	1	0.010328589	0.000627549				18	0.185914603	0.011295890	1	0.010328589	0.000627549	8	0.082628712	0.005020395	24	0.247886137	0.015061186																												4	0.041314356	0.002510198																															1	0.010328589	0.000627549										53	0.547415219	0.033260119	60	0.619715342	0.000355217				56	0.578400986	0.035142767							3	0.030985767	0.001882648													8	0.082628712	0.005020395													1	0.010328589	0.000627549	2	0.020657178	0.001255099													1	0.010328589	0.000627549	2	0.020657178	0.001255099										1	0.010328589	0.000627549							18	0.185914603	0.011295890	4	0.041314356	0.002510198																5	0.051642945	0.003137747													2	0.020657178	0.001255099	4	0.041314356	0.002510198																			5	0.051642945	0.003137747										5	0.051642945	0.003137747	2	0.020657178	0.001255099
MLT_L_6	35.9207	14.3439	35.9204	14.3429	2017-06-22	96.82	2549.6	0.50	30										9	0.092957301	0.007059931	1	0.010328589	0.000784437																															31	0.320186260	0.024317540				338	3.491063092	0.265139630							10	0.103285890	0.007844368	1	0.010328589	0.000784437				18	0.185914603	0.014119862																												4	0.041314356	0.003137747																																		2	0.020657178	0.001568874							43	0.444129328	0.033730781	14	0.144600246	0.000183035				23	0.237557548	0.018042046							3	0.030985767	0.002353310													5	0.051642945	0.003922184	5	0.051642945	0.003922184																																		3	0.030985767	0.002353310										1	0.010328589	0.000784437				9	0.092957301	0.007059931	3	0.030985767	0.002353310																1	0.010328589	0.000784437													5	0.051642945	0.003922184	2	0.020657178	0.001568874																			3	0.030985767	0.002353310				4	0.041314356	0.003137747
MLT_L_7	35.9207	14.3439	35.9204	14.3429	2017-07-19	96.82	3187.0	0.50	27										12	0.123943068	0.007530593																																		33	0.340843438	0.020709131				559	5.773681267	0.350800126	1	0.010328589	0.000627549				59	0.609386753	0.037025416	1	0.010328589	0.000627549	19	0.196243192	0.011923439																															6	0.061971534	0.003765297																																											34	0.351172027	0.021336680	33	0.340843438	0.000383502				23	0.237557548	0.014433637																						5	0.051642945	0.003137747													1	0.010328589	0.000627549																1	0.010328589	0.000627549				4	0.041314356	0.002510198																39	0.402814972	0.024474427	7	0.072300123	0.004392846																5	0.051642945	0.003137747													7	0.072300123	0.004392846	5	0.051642945	0.003137747																			1	0.010328589	0.000627549
MLT_L_8	35.9207	14.3439	35.9204	14.3429	2017-08-24	96.82	3187.0	0.25	36				1	0.010328589	0.001255099							1	0.010328589	0.001255099				6	0.061971534	0.007530593																									24	0.247886137	0.030122372				185	1.910788970	0.232193285							8	0.082628712	0.010040791	7	0.072300123	0.008785692	2	0.020657178	0.002510198	30	0.309857671	0.037652965																									1	0.010328589	0.001255099	2	0.020657178	0.002510198	1	0.010328589	0.001255099				1	0.010328589	0.001255099																																		68	0.702344054	0.085346721	20	0.206571781	0.000174319				10	0.103285890	0.012550988							2	0.020657178	0.002510198							1	0.010328589	0.001255099																																																																3	0.030985767	0.003765297										2	0.020657178	0.002510198																			3	0.030985767	0.003765297	13	0.134271657	0.016316285																																								7	0.072300123	0.008785692
MLT_L_9	35.9207	14.3439	35.9204	14.3429	2017-09-14	96.82	2987.8	0.16	21				1	0.010328589	0.002091831	3	0.030985767	0.006275494																																					7	0.072300123	0.014642820				71	0.733329821	0.148520029							1	0.010328589	0.002091831	2	0.020657178	0.004183663	1	0.010328589	0.002091831	6	0.061971534	0.012550988																									1	0.010328589	0.002091831																																														30	0.309857671	0.062754942							20	0.206571781	0.041836628																																																																																		1	0.010328589	0.002091831																									1	0.010328589	0.002091831							2	0.020657178	0.004183663																																								1	0.010328589	0.002091831
MLT_L_11	35.9207	14.3439	35.9204	14.3429	2017-11-16	96.82	3187.0	0.50	63										2	0.020657178	0.001255099	1	0.010328589	0.000627549																															25	0.258214726	0.015688735	1	0.010328589	0.000627549	13	0.134271657	0.008158142	2	0.020657178	0.001255099				7	0.072300123	0.004392846	4	0.041314356	0.002510198	2	0.020657178	0.001255099	13	0.134271657	0.008158142																									2	0.020657178	0.001255099	5	0.051642945	0.003137747							2	0.020657178	0.001255099				1	0.010328589	0.000627549																			2	0.020657178	0.001255099							297	3.067590942	0.186382178	147	1.518302587	0.000732141	495	5.112651569	0.002465373	16	0.165257424	0.010040791																																																																																																													3	0.030985767	0.001882648	2	0.020657178	0.001255099																																								2	0.020657178	0.001255099	3	0.030985767	0.001882648																2	0.020657178	0.001255099
MLT_L_PA	35.9207	14.3439	35.9204	14.3429	2019-10-02	96.82	3187.0	1.00														1	0.010328589	0.000313775																															25	0.258214726	0.007844368				247	2.551161490	0.077502353	1	0.010328589	0.000313775				13	0.134271657	0.004079071	2	0.020657178	0.000627549	1	0.010328589	0.000313775	14	0.144600246	0.004392846																												27	0.278871904	0.008471917	1	0.010328589	0.000313775				4	0.041314356	0.001255099																															15	0.154928835	0.004706621	226	2.334261121	0.070913084	84	0.867601478	#999.999000000	154	1.590602710	#999.999000000	226	2.334261121	0.070913084				2	0.020657178	0.000627549																			3	0.030985767	0.000941324										1	0.010328589	0.000313775																						3	0.030985767	0.000941324																27	0.278871904	0.008471917	8	0.082628712	0.002510198										5	0.051642945	0.001568874				2	0.020657178	0.000627549													1	0.010328589	0.000313775	7	0.072300123	0.002196423																			3	0.030985767	0.000941324													2	0.020657178	0.000627549							6	0.061971534	0.001882648				4	0.041314356	0.001255099
MLT_R_3	35.8387	14.5491	35.8391	14.5482	2017-03-27	91.64	1041.0	0.75	85				17	0.185504219	0.021773935	4	0.043648052	0.005123279	6	0.065472077	0.007684918	9	0.098208116	0.011527378	1	0.010912013	0.001280820	3	0.032736039	0.003842459				6	0.065472077	0.007684918							1	0.010912013	0.001280820										55	0.600160709	0.070445085	6	0.065472077	0.007684918				4	0.043648052	0.005123279				23	0.250976296	0.029458854				16	0.174592206	0.020493116	13	0.141856168	0.016650656										1	0.010912013	0.00128082													15	0.163680193	0.019212296	60	0.654720773	0.076849183	1	0.010912013	0.001280820				1	0.010912013	0.001280820				4	0.043648052	0.005123279				4	0.043648052	0.005123279	1	0.010912013	0.001280820	14	0.152768180	0.017931476				1	0.010912013	0.001280820	20	0.218240258	0.025616394	2	0.021824026	0.002561639	28	0.305536361	0.035862952	22	0.240064283	0.028178034	13	0.141856168	0.000146918	1	0.010912013	0.000011301	162	1.767746087	0.207492795	1	0.010912013	0.001280820				7	0.076384090	0.008965738													20	0.218240258	0.025616394	4	0.043648052	0.005123279				4	0.043648052	0.005123279				4	0.043648052	0.005123279																4	0.043648052	0.005123279	14	0.152768180	0.017931476										3	0.032736039	0.003842459										6	0.065472077	0.007684918													1	0.010912013	0.001280820				2	0.021824026	0.002561639				10	0.109120129	0.012808197	1	0.010912013	0.001280820	4	0.043648052	0.005123279	1	0.010912013	0.001280820	1	0.010912013	0.00128082				11	0.120032142	0.014089017							2	0.021824026	0.002561639	1	0.010912013	0.001280820				66	0.720192850	0.084534102	1	0.010912013	0.001280820	15	0.163680193	0.019212296				6	0.065472077	0.007684918
MLT_R_5	35.8387	14.5491	35.8391	14.5482	2017-05-25	91.64	1041.0	0.75	59				27	0.294624348	0.034582133	2	0.021824026	0.002561639	21	0.229152271	0.026897214	2	0.021824026	0.002561639	3	0.032736039	0.003842459	1	0.010912013	0.001280820																									53	0.578336683	0.067883445	4	0.043648052	0.005123279	108	1.178497392	0.138328530	1	0.010912013	0.001280820				40	0.436480515	0.051232789				4	0.043648052	0.005123279	7	0.076384090	0.008965738																						1	0.010912013	0.001280820	8	0.087296103	0.010246558	57	0.621984734	0.073006724	3	0.032736039	0.003842459	1	0.010912013	0.001280820							3	0.032736039	0.003842459				3	0.032736039	0.003842459				2	0.021824026	0.002561639							8	0.087296103	0.010246558				56	0.611072722	0.071725905	65	0.709280838	0.083253282	62	0.676544799	0.001009460				89	0.971169147	0.113992955	2	0.021824026	0.002561639										1	0.010912013	0.001280820							8	0.087296103	0.010246558							4	0.043648052	0.005123279				2	0.021824026	0.002561639																3	0.032736039	0.003842459	2	0.021824026	0.002561639	2	0.021824026	0.002561639																6	0.065472077	0.007684918	3	0.032736039	0.003842459																17	0.185504219	0.021773935							5	0.054560064	0.006404099				3	0.032736039	0.003842459																			2	0.021824026	0.002561639	1	0.010912013	0.001280820				37	0.403744477	0.047390330				22	0.240064283	0.028178034				4	0.043648052	0.005123279
MLT_R_6	35.8388	14.5490	35.8392	14.5480	2017-06-21	97.83	942.4	0.50	27				7	0.071550751	0.014855688	4	0.040886144	0.008488964	12	0.122658431	0.025466893	5	0.051107679	0.010611205	2	0.020443072	0.004244482																												52	0.531519866	0.110356537	3	0.030664608	0.006366723	124	1.267470451	0.263157895	2	0.020443072	0.004244482	1	0.010221536	0.002122241	28	0.286203005	0.059422750	2	0.020443072	0.004244482	7	0.071550751	0.014855688	19	0.194209182	0.040322581																												17	0.173766110	0.036078098	2	0.020443072	0.004244482																2	0.020443072	0.004244482				2	0.020443072	0.004244482				1	0.010221536	0.002122241	2	0.020443072	0.004244482				25	0.255538397	0.053056027	64	0.654178297	0.135823430	161	1.645667279	0.006327422				44	0.449747579	0.093378608							1	0.010221536	0.002122241				1	0.010221536	0.002122241							7	0.071550751	0.014855688				2	0.020443072	0.004244482							2	0.020443072	0.004244482	1	0.010221536	0.002122241													4	0.040886144	0.008488964				3	0.030664608	0.006366723													4	0.040886144	0.008488964	1	0.010221536	0.002122241	7	0.071550751	0.014855688																4	0.040886144	0.008488964							2	0.020443072	0.004244482	1	0.010221536	0.002122241	3	0.030664608	0.006366723	1	0.010221536	0.002122241																									21	0.214652254	0.044567063				6	0.061329215	0.012733447				2	0.020443072	0.004244482
MLT_R_7	35.8387	14.5491	35.8391	14.5482	2017-07-26	91.64	1041.0	0.50	35				7	0.076384090	0.013448607				2	0.021824026	0.003842459	1	0.010912013	0.001921230																															21	0.229152271	0.040345821	2	0.021824026	0.003842459	371	4.048356781	0.712776177	1	0.010912013	0.001921230				21	0.229152271	0.040345821	3	0.032736039	0.005763689	11	0.120032142	0.021133525	29	0.316448374	0.055715658																												18	0.196416232	0.034582133																			1	0.010912013	0.001921230																						14	0.152768180	0.026897214	94	1.025729211	0.002579937				30	0.327360387	0.057636888																						13	0.141856168	0.024975985	7	0.076384090	0.013448607																												1	0.010912013	0.001921230													3	0.032736039	0.005763689				1	0.010912013	0.001921230				8	0.087296103	0.015369837																1	0.010912013	0.001921230													7	0.076384090	0.013448607	8	0.087296103	0.015369837																			4	0.043648052	0.007684918				21	0.229152271	0.040345821				12	0.130944155	0.023054755				3	0.032736039	0.005763689
MLT_R_8	35.8387	14.5491	35.8391	14.5482	2017-08-18	91.64	1041.0	0.50	23							5	0.054560064	0.009606148				1	0.010912013	0.001921230				26	0.283712335	0.049951969																									33	0.360096425	0.063400576				277	3.022627569	0.532180596							10	0.109120129	0.019212296				4	0.043648052	0.007684918	42	0.458304541	0.080691643																												6	0.065472077	0.011527378							1	0.010912013	0.001921230				1	0.010912013	0.001921230																			1	0.010912013	0.001921230							45	0.491040580	0.086455331	30	0.327360387	0.001252976				60	0.654720773	0.115273775																2	0.021824026	0.003842459																			2	0.021824026	0.003842459																																																																												3	0.032736039	0.005763689	7	0.076384090	0.013448607																			1	0.010912013	0.001921230				1	0.010912013	0.001921230													18	0.196416232	0.034582133
MLT_R_9	35.8387	14.5491	35.8391	14.5482	2017-09-18	91.64	1041.0	0.50	31				2	0.021824026	0.003842459	6	0.065472077	0.011527378				3	0.032736039	0.005763689				3	0.032736039	0.005763689																									42	0.458304541	0.080691643	13	0.141856168	0.024975985	81	0.883873044	0.155619597	1	0.010912013	0.001921230				5	0.054560064	0.009606148	3	0.032736039	0.005763689	8	0.087296103	0.015369837	18	0.196416232	0.034582133																									3	0.032736039	0.005763689	21	0.229152271	0.040345821	10	0.109120129	0.019212296										2	0.021824026	0.003842459										5	0.054560064	0.009606148							12	0.130944155	0.023054755							165	1.800482126	0.317002882							80	0.872961031	0.153698367																																																																																		8	0.087296103	0.015369837																			2	0.021824026	0.003842459				2	0.021824026	0.003842459							6	0.065472077	0.011527378																1	0.010912013	0.001921230				1	0.010912013	0.001921230	2	0.021824026	0.003842459							5	0.054560064	0.009606148	3	0.032736039	0.005763689	13	0.141856168	0.024975985
MLT_R_11	35.8387	14.5491	35.8391	14.5482	2017-11-13	91.64	1041.0	0.50	56	1	0.010912013	0.0019212300	3	0.032736039	0.005763689	1	0.010912013	0.001921230	3	0.032736039	0.005763689	1	0.010912013	0.001921230	1	0.010912013	0.001921230	1	0.010912013	0.001921230																									35	0.381920451	0.067243036	3	0.032736039	0.005763689	32	0.349184412	0.061479347	1	0.010912013	0.001921230				13	0.141856168	0.024975985	3	0.032736039	0.005763689	3	0.032736039	0.005763689	11	0.120032142	0.021133525				1	0.010912013	0.001921230	2	0.021824026	0.003842459																9	0.098208116	0.017291066	6	0.065472077	0.011527378				2	0.021824026	0.003842459	1	0.010912013	0.001921230				1	0.010912013	0.001921230																			6	0.065472077	0.011527378	1	0.010912013	0.001921230	8	0.087296103	0.015369837	100	1.091201289	0.192122959							27	0.294624348	0.051873199																1	0.010912013	0.001921230				3	0.032736039	0.005763689													1	0.010912013	0.001921230																												1	0.010912013	0.001921230				1	0.010912013	0.001921230							2	0.021824026	0.003842459																									3	0.032736039	0.005763689							1	0.010912013	0.001921230																															3	0.032736039	0.005763689	16	0.174592206	0.030739673				3	0.032736039	0.005763689													2	0.021824026	0.003842459
CRT_T_3	35.3694	24.4771	35.3686	24.4776	2017-03-24	99.63	2531.0	7.00	82	9	0.090335781	0.0005079870	85	0.853171264	0.004797652	18	0.180671562	0.001015973	7	0.070261163	0.000395101	4	0.040149236	0.000225772	2	0.020074618	0.000112886	12	0.120447708	0.000677316				1	0.010037309	0.000056443										2	0.020074618	0.000112886				1	0.010037309	0.000056443	94	0.943507045	0.005305639	6	0.060223854	0.000338658	500	5.018654494	0.028221482	9	0.090335781	0.000507987	39	0.391455051	0.002201276	109	1.094066680	0.006152283	11	0.110410399	0.000620873	4	0.040149236	0.000225772	319	3.201901567	0.018005306	5	0.050186545	0.000282215										6	0.060223854	0.000338658							2	0.020074618	0.000112886	16	0.160596944	0.000903087	201	2.017499107	0.011345036	2	0.020074618	0.000112886	2	0.020074618	0.000112886	21	0.210783489	0.001185302							4	0.040149236	0.000225772							38	0.381417742	0.002144833	54	0.542014685	0.003047920	2	0.020074618	0.000112886	2	0.020074618	0.000112886	1	0.010037309	0.000056443	11	0.110410399	0.000620873	201	2.017499107	0.011345036	30	0.301119270	0.000144549	4	0.040149236	0.000019273	13	0.130485017	0.000733759	122	1.224551697	0.006886042	15	0.150559635	0.000846644										4	0.040149236	0.000225772				36	0.361343124	0.002031947	24	0.240895416	0.001354631				1	0.010037309	0.000056443				9	0.090335781	0.000507987	1	0.010037309	0.000056443										2	0.020074618	0.000112886	22	0.220820798	0.001241745	1	0.010037309	0.000056443										5	0.050186545	0.000282215	4	0.040149236	0.000225772	5	0.050186545	0.000282215	24	0.240895416	0.001354631	3	0.030111927	0.000169329										1	0.010037309	0.000056443				2	0.020074618	0.000112886							1	0.010037309	0.000056443	1	0.010037309	0.000056443	9	0.090335781	0.000507987	14	0.140522326	0.000790202							1	0.010037309	0.000056443										1	0.010037309	0.000056443										300	3.011192696	0.016932889	25	0.250932725	0.001411074	1	0.010037309	0.000056443				2	0.020074618	0.000112886				1	0.010037309	0.000056443	1	0.010037309	0.000056443	6	0.060223854	0.000338658
CRT_T_5	35.3694	24.4771	35.3686	24.4776	2017-05-23	99.63	2531.0	7.00	60							161	1.616006747	0.009087317				5	0.050186545	0.000282215																															89	0.893320500	0.005023424	4	0.040149236	0.000225772	800	8.029847191	0.045154372	3	0.030111927	0.000169329				131	1.314887477	0.007394028	3	0.030111927	0.000169329	6	0.060223854	0.000338658	151	1.515633657	0.008522888																												71	0.712648938	0.004007450							2	0.020074618	0.000112886							2	0.020074618	0.000112886																						8	0.080298472	0.000451544	72	0.722686247	0.004063893							82	0.823059337	0.004628323	1	0.010037309	0.000056443	40	0.401492360	0.002257719																19	0.190708871	0.001072416																																														2	0.020074618	0.000112886							25	0.250932725	0.001411074	1	0.010037309	0.000056443																18	0.180671562	0.001015973													8	0.080298472	0.000451544	9	0.090335781	0.000507987																																		4	0.040149236	0.000225772				20	0.200746180	0.001128859	4	0.040149236	0.000225772										5	0.050186545	0.000282215
CRT_T_6	35.3694	24.4771	35.3686	24.4776	2017-06-19	99.63	2531.0	7.00	27							80	0.802984719	0.004515437	96	0.963581663	0.005418525	1	0.010037309	0.000056443				1	0.010037309	0.000056443	2	0.020074618	0.000112886																						40	0.401492360	0.002257719				475	4.767721769	0.026810408				1	0.010037309	0.000056443	23	0.230858107	0.001298188	2	0.020074618	0.000112886	3	0.030111927	0.000169329	79	0.792947410	0.004458994																												65	0.652425084	0.003668793	16	0.160596944	0.000903087				3	0.030111927	0.000169329							3	0.030111927	0.000169329							2	0.020074618	0.000112886																50	0.501865449	0.002822148							94	0.943507045	0.005305639				25	0.250932725	0.001411074										1	0.010037309	0.000056443				130	1.304850168	0.007337585																															8	0.080298472	0.000451544																																																													5	0.050186545	0.000282215				1	0.010037309	0.000056443										1	0.010037309	0.000056443	2	0.020074618	0.000112886				2	0.020074618	0.000112886				31	0.311156579	0.001749732										2	0.020074618	0.000112886										31	0.311156579	0.001749732
CRT_T_7	35.3694	24.4771	35.3686	24.4776	2017-07-25	99.63	2531.0	3.00	36				5	0.050186545	0.000658501	95	0.953544354	0.012511524	52	0.521940067	0.006848413	4	0.040149236	0.000526801																															77	0.772872792	0.010140919	3	0.030111927	0.000395101	450	4.516789045	0.059265113							88	0.883283191	0.011589622	4	0.040149236	0.000526801	16	0.160596944	0.002107204	88	0.883283191	0.011589622																									2	0.020074618	0.000263401	18	0.180671562	0.002370605							7	0.070261163	0.000921902	1	0.010037309	0.000131700																												8	0.080298472	0.001053602	196	1.967312562	0.025813249	49	0.491828140	0.000537776	1	0.010037309	0.000010975	61	0.612275848	0.008033715				29	0.291081961	0.003819307	3	0.030111927	0.000395101							2	0.020074618	0.000263401				17	0.170634253	0.002238904	20	0.200746180	0.002634005													2	0.020074618	0.000263401													1	0.010037309	0.000131700																			46	0.461716213	0.006058212	1	0.010037309	0.000131700	2	0.020074618	0.000263401																6	0.060223854	0.000790202							2	0.020074618	0.000263401							10	0.100373090	0.001317003																									1	0.010037309	0.000131700							4	0.040149236	0.000526801							2	0.020074618	0.000263401
CRT_T_8	35.3694	24.4771	35.3686	24.4776	2017-08-25	99.63	2531.0	3.00	31										10	0.100373090	0.001317003	3	0.030111927	0.000395101				4	0.040149236	0.000526801	3	0.030111927	0.000395101																						80	0.802984719	0.010536020	2	0.020074618	0.000263401	750	7.527981741	0.098775188							47	0.471753522	0.006189912	9	0.090335781	0.001185302	3	0.030111927	0.000395101	132	1.324924786	0.017384433																												50	0.501865449	0.006585013																1	0.010037309	0.000131700																						38	0.381417742	0.005004610	151	1.515633657	0.019886738	39	0.391455051	0.000497062	2	0.020074618	0.000025490	371	3.723841635	0.048860793				40	0.401492360	0.005268010	1	0.010037309	0.000131700							8	0.080298472	0.001053602				5	0.050186545	0.000658501													6	0.060223854	0.000790202										1	0.010037309	0.000131700																			3	0.030111927	0.000395101							55	0.552051994	0.007243514	4	0.040149236	0.000526801										3	0.030111927	0.000395101													1	0.010037309	0.000131700				3	0.030111927	0.000395101	10	0.100373090	0.001317003				3	0.030111927	0.000395101																									6	0.060223854	0.000790202	417	4.185557848	0.054919004				7	0.070261163	0.000921902	7	0.070261163	0.000921902				1	0.010037309	0.000131700
CRT_T_9	35.3694	24.4771	35.3686	24.4776	2017-09-26	99.63	2531.0	7.00	32										14	0.140522326	0.000790202	2	0.020074618	0.000112886																															55	0.552051994	0.003104363	5	0.050186545	0.000282215	850	8.531712640	0.047976520							166	1.666193292	0.009369532	13	0.130485017	0.000733759	15	0.150559635	0.000846644	89	0.893320500	0.005023424																												58	0.582163921	0.003273692	7	0.070261163	0.000395101													3	0.030111927	0.000169329																						17	0.170634253	0.000959530	158	1.585894820	0.008917988	17	0.170634253	0.000209897	80	0.802984719	0.000987752	23	0.230858107	0.001298188	2	0.020074618	0.000112886	55	0.552051994	0.003104363	3	0.030111927	0.000169329																3	0.030111927	0.000169329													1	0.010037309	0.000056443																												7	0.070261163	0.000395101				16	0.160596944	0.000903087	1	0.010037309	0.000056443	13	0.130485017	0.000733759										2	0.020074618	0.000112886																						2	0.020074618	0.000112886																																		3	0.030111927	0.000169329				31	0.311156579	0.001749732	24	0.240895416	0.001354631										2	0.020074618	0.000112886
CRT_T_11	35.3694	24.4771	35.3686	24.4776	2017-11-27	99.63	2531.0	27.00	62										25	0.250932725	0.000365834	3	0.030111927	0.000043900																															116	1.164327843	0.001697470	11	0.110410399	0.000160967	200	2.007461798	0.002926672							25	0.250932725	0.000365834	2	0.020074618	0.000029267	1	0.010037309	0.000014633	206	2.067685652	0.003014472																												63	0.632350466	0.000921902	3	0.030111927	0.000043900													1	0.010037309	0.000014633																									289	2.900782298	0.004229041				6	0.060223854	0.000038236	11	0.110410399	0.000160967				340	3.412685056	0.004975343																																																																2	0.020074618	0.000029267							10	0.100373090	0.000146334																																					1	0.010037309	0.000014633																			12	0.120447708	0.000175600
CRT_T_PA	35.3694	24.4771	35.3686	24.4776	2019-09-19	99.63	2531.0	7.00											5	0.050186545	0.000282215	1	0.010037309	0.000056443																															31	0.311156579	0.001749732	2	0.020074618	0.000112886	286	2.870670371	0.016142688							41	0.411529669	0.002314162	8	0.080298472	0.000451544	3	0.030111927	0.000169329	31	0.311156579	0.001749732																												12	0.120447708	0.000677316	3	0.030111927	0.000169329																																					8	0.080298472	0.000451544	614	6.162907719	0.034655980	181	1.816752927	#999.999000000	4	0.040149236	#999.999000000	12	0.120447708	0.000677316				27	0.271007343	0.001523960																			3	0.030111927	0.000169329																																											2	0.020074618	0.000112886							4	0.040149236	0.000225772	4	0.040149236	0.000225772										7	0.070261163	0.000395101													1	0.010037309	0.000056443																																																	11	0.110410399	0.000620873
CRT_L_3	35.3310	25.2391	35.3314	25.2401	2017-03-23	99.87	3173.0	146.00	81				13	0.130168523	0.000028062	73	0.730946322	0.000157580	2	0.020025927	0.000004317	67	0.670868542	0.000144628	7	0.070090743	0.000015110	3	0.030038890	0.000006476				1	0.010012963	0.000002159										1	0.010012963	0.000002159							490	4.906352024	0.001057726	11	0.110142596	0.000023745	13	0.130168523	0.000028062	8	0.080103707	0.000017269				57	0.570738909	0.000123042	40	0.400518533	0.000086345	33	0.330427789	0.000071235	159	1.592061167	0.000343221																												16	0.160207413	0.000034538	11	0.110142596	0.000023745				51	0.510661129	0.000110090				2	0.020025927	0.000004317	54	0.540700019	0.000116566							12	0.120155560	0.000025904							4	0.040051853	0.000008635	11	0.110142596	0.000023745	22	0.220285193	0.000047490	2158	21.607974830	0.004658311	332	3.324303820	0.001291763	721	7.219346549	0.002805306	383	3.834964949	0.000826753				204	2.042644516	0.000440359	13	0.130168523	0.000028062				4	0.040051853	0.000008635	3	0.030038890	0.000006476				211	2.112735259	0.000455470	2	0.020025927	0.000004317							2	0.020025927	0.000004317	15	0.150194450	0.000032379													1	0.010012963	0.000002159	25	0.250324083	0.000053966	1	0.010012963	0.000002159										1	0.010012963	0.000002159							3	0.030038890	0.000006476	4	0.040051853	0.000008635													2	0.020025927	0.000004317	31	0.310401863	0.000066917	1	0.010012963	0.000002159	1	0.010012963	0.000002159	19	0.190246303	0.000041014	1	0.010012963	0.000002159	1	0.010012963	0.000002159																						3	0.030038890	0.000006476				3	0.030038890	0.000006476							1	0.010012963	0.000002159	9	0.090116670	0.000019428	21	0.210272230	0.000045331													26	0.260337046	0.000056124
CRT_L_5	35.3310	25.2391	35.3314	25.2401	2017-05-25	99.87	3173.0	30.00	63	7	0.070090743	0.0000735371	7	0.070090743	0.000073537	1	0.010012963	0.000010505	77	0.770998175	0.000808908	8	0.080103707	0.000084042	2	0.020025927	0.000021011																												215	2.152787113	0.002258641	2	0.020025927	0.000021011	153	1.531983387	0.001607312							50	0.500648166	0.000525265	15	0.150194450	0.000157580	12	0.120155560	0.000126064	12	0.120155560	0.000126064	1	0.010012963	0.000010505																									86	0.861114845	0.000903456	10	0.100129633	0.000105053				1	0.010012963	0.000010505							19	0.190246303	0.000199601				1	0.010012963	0.000010505	1	0.010012963	0.000010505										2	0.020025927	0.000021011	70	0.700907432	0.000735371	1433	14.348576430	0.015054102	184	1.842385250	0.000920465	896	8.971615129	0.004482264	466	4.666040904	0.004895472				136	1.361763011	0.001428722							3	0.030038890	0.000031516	4	0.040051853	0.000042021				503	5.036520547	0.005284169										4	0.040051853	0.000042021	15	0.150194450	0.000157580																32	0.320414826	0.000336170													6	0.060077780	0.000063032							35	0.350453716	0.000367686	1	0.010012963	0.000010505																5	0.050064817	0.000052526							3	0.030038890	0.000031516	3	0.030038890	0.000031516	4	0.040051853	0.000042021	5	0.050064817	0.000052526																			3	0.030038890	0.000031516							1	0.010012963	0.000010505	6	0.060077780	0.000063032	25	0.250324083	0.000262633				1	0.010012963	0.000010505													5	0.050064817	0.000052526
CRT_L_6	35.3310	25.2391	35.3314	25.2401	2017-06-23	99.87	3173.0	20.00	29				13	0.130168523	0.000204853				82	0.821062992	0.001292153	10	0.100129633	0.000157580	1	0.010012963	0.000015758																												220	2.202851929	0.003466751	2	0.020025927	0.000031516	535	5.356935373	0.008430507	3	0.030038890	0.000047274				5	0.050064817	0.000078790	13	0.130168523	0.000204853	25	0.250324083	0.000393949	102	1.021322258	0.001607312																									1	0.010012963	0.000015758	30	0.300388899	0.000472739													4	0.040051853	0.000063032	10	0.100129633	0.000157580																			3	0.030038890	0.000047274	16	0.160207413	0.000252127	732	7.329489146	0.011534825	26	0.260337046	0.000282556	426	4.265522372	0.004629579	354	3.544589013	0.005578317	17	0.170220376	0.000267885	132	1.321711157	0.002080050	10	0.100129633	0.000157580							1	0.010012963	0.000015758				17	0.170220376	0.000267885										1	0.010012963	0.000015758	7	0.070090743	0.000110306																17	0.170220376	0.000267885													6	0.060077780	0.000094548	2	0.020025927	0.000031516				15	0.150194450	0.000236369													3	0.030038890	0.000047274				4	0.040051853	0.000063032	1	0.010012963	0.000015758				8	0.080103707	0.000126064				4	0.040051853	0.000063032	1	0.010012963	0.000015758																												2	0.020025927	0.000031516				6	0.060077780	0.000094548	1	0.010012963	0.000015758				6	0.060077780	0.000094548										5	0.050064817	0.000078790
CRT_L_7	35.3310	25.2391	35.3314	25.2401	2017-07-23	99.87	3173.0	10.00	30				23	0.230298156	0.000724866	80	0.801037065	0.002521273	40	0.400518533	0.001260637	9	0.090116670	0.000283643	1	0.010012963	0.000031516	22	0.220285193	0.000693350	2	0.020025927	0.000063032																2	0.020025927	0.000063032										350	3.504537160	0.011030570							20	0.200259266	0.000630318	4	0.040051853	0.000126064	49	0.490635202	0.001544280	57	0.570738909	0.001796407							2	0.020025927	0.000063032							2	0.020025927	0.000063032										18	0.180233340	0.000567286	2	0.020025927	0.000063032				25	0.250324083	0.000787898							6	0.060077780	0.000189095							7	0.070090743	0.000220611										2	0.020025927	0.000063032				609	6.097894658	0.019193193	25	0.250324083	0.000262633	108	1.081400038	0.001134573	97	0.971257441	0.003057044				82	0.821062992	0.002584305	19	0.190246303	0.000598802													10	0.100129633	0.000315159	8	0.080103707	0.000252127																												3	0.030038890	0.000094548													3	0.030038890	0.000094548																						12	0.120155560	0.000378191													2	0.020025927	0.000063032				3	0.030038890	0.000094548	1	0.010012963	0.000031516																			1	0.010012963	0.000031516				1	0.010012963	0.000031516				10	0.100129633	0.000315159	1	0.010012963	0.000031516	3	0.030038890	0.000094548	1	0.010012963	0.000031516													7	0.070090743	0.000220611
CRT_L_8	35.3310	25.2391	35.3314	25.2401	2017-08-23	99.87	3173.0	7.00	31							160	1.602074130	0.007203638	25	0.250324083	0.001125568	10	0.100129633	0.000450227				36	0.360466679	0.001620819							1	0.010012963	0.000045023																150	1.501944497	0.006753410	2	0.020025927	0.000090046	600	6.007777988	0.027013642										2	0.020025927	0.000090046	31	0.310401863	0.001395705	132	1.321711157	0.005943001																									4	0.040051853	0.000180091	80	0.801037065	0.003601819							4	0.040051853	0.000180091							13	0.130168523	0.000585296																			1	0.010012963	0.000045023	20	0.200259266	0.000900455	399	3.995172362	0.017964072	60	0.600777799	0.000609985	438	4.385677932	0.004452894	522	5.226766850	0.023501868				105	1.051361148	0.004727387	1	0.010012963	0.000045023							2	0.020025927	0.000090046																2	0.020025927	0.000090046	1	0.010012963	0.000045023																5	0.050064817	0.000225114																2	0.020025927	0.000090046				38	0.380492606	0.001710864	4	0.040051853	0.000180091										4	0.040051853	0.000180091													3	0.030038890	0.000135068				4	0.040051853	0.000180091	3	0.030038890	0.000135068																									3	0.030038890	0.000135068				15	0.150194450	0.000675341										4	0.040051853	0.000180091										3	0.030038890	0.000135068
CRT_L_9	35.3310	25.2391	35.3314	25.2401	2017-09-28	99.87	3173.0	36.00	36							120	1.201555598	0.001050531	18	0.180233340	0.000157580	12	0.120155560	0.000105053				22	0.220285193	0.000192597										1	0.010012963	0.000008754													130	1.301685231	0.001138075	3	0.030038890	0.000026263	801	8.020383615	0.007012291										4	0.040051853	0.000035018	20	0.200259266	0.000175088	98	0.981270405	0.000857933																									18	0.180233340	0.000157580	53	0.530687056	0.000463984							13	0.130168523	0.000113807							7	0.070090743	0.000061281																						25	0.250324083	0.000218861	1212	12.135711540	0.010610358	56	0.560725946	0.000490248	300	3.003888994	0.002626326	89	0.891153735	0.000779143				153	1.531983387	0.001339426	4	0.040051853	0.000035018				1	0.010012963	0.000008754	1	0.010012963	0.000008754							8	0.080103707	0.000070035							1	0.010012963	0.000008754	3	0.030038890	0.000026263																																		8	0.080103707	0.000070035				45	0.450583349	0.000393949	3	0.030038890	0.000026263																									2	0.020025927	0.000017509	4	0.040051853	0.000035018	9	0.090116670	0.000078790	4	0.040051853	0.000035018																															20	0.200259266	0.000175088	14	0.140181486	0.000122562							13	0.130168523	0.000113807										6	0.060077780	0.000052526
CRT_L_11	35.3310	25.2391	35.3314	25.2401	2017-11-24	99.87	3173.0	57.00	57							18	0.180233340	0.000099524	2	0.020025927	0.000011058	180	1.802333397	0.000995239				2	0.020025927	0.000011058																									165	1.652138947	0.000912303	2	0.020025927	0.000011058	150	1.501944497	0.000829366	1	0.010012963	0.000005529				5	0.050064817	0.000027646	6	0.060077780	0.000033175	2	0.020025927	0.000011058	130	1.301685231	0.000718784																												17	0.170220376	0.000093995																4	0.040051853	0.000022116																									1143	11.444817070	0.006319770	91	0.911179662	0.000503149	673	6.738724310	0.003721090	93	0.931205588	0.000514207				240	2.403111195	0.001326986																1000	10.012963310	0.005529108																																																							2	0.020025927	0.000011058																																																																						14	0.140181486	0.000077407	3	0.030038890	0.000016587																			22	0.220285193	0.000121640
CRT_L_PA	35.3310	25.2391	35.3314	25.2401	2019-09-20	99.87	3173.0	31.00								37	0.370479643	0.000376158	10	0.100129633	0.000101664	3	0.030038890	0.000030499	2	0.020025927	0.000020333							1	0.010012963	0.000010166													5	0.050064817	0.000050832	1	0.010012963	0.000010166	14	0.140181486	0.000142330	1	0.010012963	0.000010166	270	2.703500095	0.002744935							36	0.360466679	0.000365991	4	0.040051853	0.000040666	33	0.330427789	0.000335492	23	0.230298156	0.000233828																									10	0.100129633	0.000101664	31	0.310401863	0.000315159							23	0.230298156	0.000233828							3	0.030038890	0.000030499																						40	0.400518533	0.000406657	1124	11.254570770	0.011427061	689	6.898931723	#999.999000000	478	4.786196464	#999.999000000	299	2.993876031	0.003039761				59	0.590764836	0.000599819	2	0.020025927	0.000020333													33	0.330427789	0.000335492	1	0.010012963	0.000010166							1	0.010012963	0.000010166	1	0.010012963	0.000010166																1	0.010012963	0.000010166				1	0.010012963	0.000010166																2	0.020025927	0.000020333																												5	0.050064817	0.000050832																																																	2	0.020025927	0.000020333	2	0.020025927	0.000020333
CRT_R_4	34.9838	25.3053	34.9842	25.3043	2017-04-07	99.90	2541.0		96				3	0.030029421	0.000012298	1	0.010009807	0.000004099				3	0.030029421	0.000012298																																																																																																																																																																																																																																																				1	0.010009807	0.000004099
CRT_R_5	34.9838	25.3053	34.9842	25.3043	2017-05-24	99.90	2541.0		47				3	0.030029421	0.000025120							1	0.010009807	0.000008373																																																																																																																																																																																																																																																	1	0.010009807	0.000008373				1	0.010009807	0.000008373	1	0.010009807	0.000008373
CRT_R_6	34.9838	25.3053	34.9842	25.3043	2017-06-29	99.90	2541.0		36										3	0.030029421	0.000032796																																																																																																																																																																																																																																																							2	0.020019614	0.000021864
CRT_R_7	34.9838	25.3053	34.9842	25.3043	2017-07-31	99.90	2541.0		32				2	0.020019614	0.000024597							1	0.010009807	0.000012298
CRT_R_8	34.9838	25.3053	34.9842	25.3043	2017-08-31	99.90	2541.0		31				3	0.030029421	0.000038085							2	0.020019614	0.000025390																																																																																					1	0.010009807	0.000012695																																																																																																																																					3	0.030029421	0.000038085
CRT_R_9	34.9838	25.3053	34.9842	25.3043	2017-10-03	99.90	2541.0		33													1	0.010009807	0.000011926				2	0.020019614	0.000023851																																																																																																																																								4	0.040039228	0.000047702
CRT_R_11	34.9838	25.3053	34.9842	25.3043	2017-11-30	99.90	2541.0		58													4	0.040039228	0.000027141
MYK_T_4	37.4141	25.3428	37.4142	25.3439	2017-04-23	99.42	1611.0	28.00	112				4	0.040232779	0.000088676							11	0.110640143	0.000243859	1	0.010058195	0.000022169	6	0.060349169	0.000133014																									10	0.100581948	0.000221690	1	0.010058195	0.000022169	27	0.271571261	0.000598563							4	0.040232779	0.000088676				10	0.100581948	0.000221690	2	0.020116390	0.000044338																																														1	0.010058195	0.000022169																			1	0.010058195	0.000022169													21	0.211222092	0.000465549																						2	0.020116390	0.000044338																1	0.010058195	0.000022169	1	0.010058195	0.000022169										1	0.010058195	0.000022169										2	0.020116390	0.000044338				1	0.010058195	0.000022169																						1	0.010058195	0.000022169										5	0.050290974	0.000110845																																																	1	0.010058195	0.000022169
MYK_T_6	37.4141	25.3428	37.4142	25.3439	2017-06-03	99.42	1611.0	3.00	41				3	0.030174585	0.000620732							10	0.100581948	0.002069108				7	0.070407364	0.001448376																									8	0.080465559	0.001655287	2	0.020116390	0.000413822	20	0.201163897	0.004138216							5	0.050290974	0.001034554	10	0.100581948	0.002069108																																																																																								13	0.130756533	0.002689841																																																																2	0.020116390	0.000413822	2	0.020116390	0.000413822				2	0.020116390	0.000413822																																		8	0.080465559	0.001655287							2	0.020116390	0.000413822
MYK_T_7	37.4141	25.3428	37.4142	25.3439	2017-07-28	99.42	1611.0	2.00	55							5	0.050290974	0.001551831										7	0.070407364	0.002172564	2	0.020116390	0.000620732																						7	0.070407364	0.002172564	1	0.010058195	0.000310366	38	0.382211404	0.011793917							5	0.050290974	0.001551831				3	0.030174585	0.000931099	2	0.020116390	0.000620732	2	0.020116390	0.000620732																																																																																																																																																				5	0.050290974	0.001551831	2	0.020116390	0.000620732	7	0.070407364	0.002172564	1	0.010058195	0.000310366				1	0.010058195	0.000310366										4	0.040232779	0.001241465																						3	0.030174585	0.000931099																1	0.010058195	0.000310366
MYK_T_8	37.4141	25.3428	37.4142	25.3439	2017-08-08	99.42	1611.0	3.00	11	2	0.020116390	0.0004138220				2	0.020116390	0.000413822	4	0.040232779	0.000827643	5	0.050290974	0.001034554	1	0.010058195	0.000206911				1	0.010058195	0.000206911																						9	0.090523754	0.001862197	5	0.050290974	0.001034554	42	0.422444184	0.008690255							7	0.070407364	0.001448376	2	0.020116390	0.000413822				9	0.090523754	0.001862197																																														4	0.040232779	0.000827643																																																																																																										6	0.060349169	0.001241465				2	0.020116390	0.000413822				13	0.130756533	0.002689841										6	0.060349169	0.001241465																						10	0.100581948	0.002069108
MYK_T_9	37.4141	25.3428	37.4142	25.3439	2017-09-24	99.42	1611.0	4.00	47	1	0.010058195	0.0001551830				4	0.040232779	0.000620732	3	0.030174585	0.000465549	2	0.020116390	0.000310366				2	0.020116390	0.000310366	3	0.030174585	0.000465549																						13	0.130756533	0.002017381	2	0.020116390	0.000310366	34	0.341978625	0.005276226				1	0.010058195	0.000155183	10	0.100581948	0.001551831	1	0.010058195	0.000155183	4	0.040232779	0.000620732	4	0.040232779	0.000620732																																														7	0.070407364	0.001086282							4	0.040232779	0.000620732																									3	0.030174585	0.000465549	1	0.010058195	0.000155183																																																																			5	0.050290974	0.000775916										5	0.050290974	0.000775916										3	0.030174585	0.000465549													1	0.010058195	0.000155183				1	0.010058195	0.000155183	7	0.070407364	0.001086282																									1	0.010058195	0.000155183
MYK_T_11	37.4141	25.3428	37.4142	25.3439	2017-11-24	99.42	1611.0	30.00	61	3	0.030174585	0.0000620732	1	0.010058195	0.000020691	4	0.040232779	0.000082764	6	0.060349169	0.000124146	5	0.050290974	0.000103455	1	0.010058195	0.000020691	4	0.040232779	0.000082764	2	0.020116390	0.000041382										1	0.010058195	0.000020691				1	0.010058195	0.000020691				13	0.130756533	0.000268984	2	0.020116390	0.000041382	42	0.422444184	0.000869025							8	0.080465559	0.000165529	1	0.010058195	0.000020691	5	0.050290974	0.000103455	7	0.070407364	0.000144838																																																							4	0.040232779	0.000082764													1	0.010058195	0.000020691													7	0.070407364	0.000144838							1	0.010058195	0.000020691													4	0.040232779	0.000082764																																					1	0.010058195	0.000020691	3	0.030174585	0.000062073	7	0.070407364	0.000144838	1	0.010058195	0.000020691	1	0.010058195	0.000020691				2	0.020116390	0.000041382				1	0.010058195	0.000020691				4	0.040232779	0.000082764				2	0.020116390	0.000041382							7	0.070407364	0.000144838	6	0.060349169	0.000124146	2	0.020116390	0.000041382	12	0.120698338	0.000248293																2	0.020116390	0.000041382	1	0.010058195	0.000020691				2	0.020116390	0.000041382	1	0.010058195	0.000020691
MYK_L_4	37.4815	25.4101	37.4807	25.4103	2017-04-24	98.18	3800.0	29.00	113				1	0.010185208	0.000009074	10	0.101852082	0.000090744				2	0.020370416	0.000018149				14	0.142592914	0.000127042	2	0.020370416	0.000018149																						58	0.590742073	0.000526316	1	0.010185208	0.000009074	2	0.020370416	0.000018149													17	0.173148539	0.000154265																																		1	0.010185208	0.000009074				1	0.010185208	0.000009074							6	0.061111249	0.000054447																			1	0.010185208	0.000009074													1	0.010185208	0.000009074																						5	0.050926041	0.000045372													1	0.010185208	0.000009074																						2	0.020370416	0.000018149																																														1	0.010185208	0.000009074
MYK_L_6	37.4815	25.4101	37.4807	25.4103	2017-06-02	98.18	3800.0	2.00	39																			8	0.081481665	0.001052632																									10	0.101852082	0.001315789	5	0.050926041	0.000657895	15	0.152778122	0.001973684													5	0.050926041	0.000657895																																																																																																																2	0.020370416	0.000263158																															2	0.020370416	0.000263158							4	0.040740833	0.000526316	6	0.061111249	0.000789474	2	0.020370416	0.000263158																			2	0.020370416	0.000263158																						7	0.071296457	0.000921053
MYK_L_7	37.4815	25.4101	37.4807	25.4103	2017-07-27	98.18	3800.0	1.00	55							3	0.030555624	0.000789474	3	0.030555624	0.000789474							5	0.050926041	0.001315789	2	0.020370416	0.000526316																						8	0.081481665	0.002105263	2	0.020370416	0.000526316	23	0.234259787	0.006052632							2	0.020370416	0.000526316	1	0.010185208	0.000263158	5	0.050926041	0.001315789	8	0.081481665	0.002105263																																																																																																																																																				3	0.030555624	0.000789474				2	0.020370416	0.000526316	7	0.071296457	0.001842105	1	0.010185208	0.000263158																5	0.050926041	0.001315789													5	0.050926041	0.001315789							5	0.050926041	0.001315789																									1	0.010185208	0.000263158
MYK_L_8	37.4815	25.4101	37.4807	25.4103	2017-08-28	98.18	3800.0	1.00	32	2	0.020370416	0.0005263160	2	0.020370416	0.000526316				4	0.040740833	0.001052632	6	0.061111249	0.001578947	1	0.010185208	0.000263158	4	0.040740833	0.001052632	1	0.010185208	0.000263158																						6	0.061111249	0.001578947	1	0.010185208	0.000263158	23	0.234259787	0.006052632							7	0.071296457	0.001842105							2	0.020370416	0.000526316																																														5	0.050926041	0.001315789																																					3	0.030555624	0.000789474																						3	0.030555624	0.000789474																																											5	0.050926041	0.001315789				2	0.020370416	0.000526316				3	0.030555624	0.000789474										8	0.081481665	0.002105263													5	0.050926041	0.001315789							12	0.122222498	0.003157895																									1	0.010185208	0.000263158
MYK_L_9	37.4815	25.4101	37.4807	25.4103	2017-09-22	98.18	3800.0	2.00	25	3	0.030555624	0.0003947370	1	0.010185208	0.000131579	3	0.030555624	0.000394737	3	0.030555624	0.000394737	5	0.050926041	0.000657895	1	0.010185208	0.000131579	2	0.020370416	0.000263158	1	0.010185208	0.000131579																						12	0.122222498	0.001578947	1	0.010185208	0.000131579	18	0.183333747	0.002368421										1	0.010185208	0.000131579	4	0.040740833	0.000526316	6	0.061111249	0.000789474																																														1	0.010185208	0.000131579																																					7	0.071296457	0.000921053																						1	0.010185208	0.000131579																															1	0.010185208	0.000131579							2	0.020370416	0.000263158	5	0.050926041	0.000657895	2	0.020370416	0.000263158	1	0.010185208	0.000131579				3	0.030555624	0.000394737																									4	0.040740833	0.000526316	3	0.030555624	0.000394737	3	0.030555624	0.000394737	7	0.071296457	0.000921053																									2	0.020370416	0.000263158
MYK_L_11	37.4815	25.4101	37.4807	25.4103	2017-11-26	98.18	3800.0	32.00	65	1	0.010185208	0.0000082237	1	0.010185208	0.000008224	1	0.010185208	0.000008224	4	0.040740833	0.000032895	3	0.030555624	0.000024671				1	0.010185208	0.000008224	3	0.030555624	0.000024671	2	0.020370416	0.000016447																			18	0.183333747	0.000148026				23	0.234259787	0.000189145							11	0.112037290	0.000090461				7	0.071296457	0.000057566	1	0.010185208	0.000008224																															2	0.020370416	0.000016447				1	0.010185208	0.000008224							4	0.040740833	0.000032895				1	0.010185208	0.000008224	1	0.010185208	0.000008224																3	0.030555624	0.000024671																									2	0.020370416	0.000016447				1	0.010185208	0.000008224																1	0.010185208	0.000008224																			3	0.030555624	0.000024671				1	0.010185208	0.000008224	1	0.010185208	0.000008224	2	0.020370416	0.000016447							1	0.010185208	0.000008224	1	0.010185208	0.000008224													4	0.040740833	0.000032895				1	0.010185208	0.000008224	2	0.020370416	0.000016447	4	0.040740833	0.000032895				13	0.132407706	0.000106908				1	0.010185208	0.000008224							1	0.010185208	0.000008224	1	0.010185208	0.000008224							1	0.010185208	0.000008224	2	0.020370416	0.000016447
MYK_R_4	37.4719	25.4284	37.4711	25.4289	2017-04-26	94.35	2147.0	196.00	115							5	0.052994051	0.000011882				1	0.010598810	0.000002376				2	0.021197621	0.000004753																									18	0.190778585	0.000042774													17	0.180179774	0.000040398				1	0.010598810	0.000002376																																																																																					7	0.074191672	0.000016635																																																													1	0.010598810	0.000002376																																																	1	0.010598810	0.000002376
MYK_R_6	37.4719	25.4284	37.4711	25.4289	2017-06-01	94.35	2147.0	15.00	36										3	0.031796431	0.000093153							4	0.042395241	0.000124204																									15	0.158982154	0.000465766				5	0.052994051	0.000155255													2	0.021197621	0.000062102	2	0.021197621	0.000062102																																																																																																																																														1	0.010598810	0.000031051							1	0.010598810	0.000031051	3	0.031796431	0.000093153																																					1	0.010598810	0.000031051
MYK_R_7	37.4719	25.4284	37.4711	25.4289	2017-07-27	94.35	2147.0	15.00	56				1	0.010598810	0.000031051	2	0.021197621	0.000062102	5	0.052994051	0.000155255	1	0.010598810	0.000031051				4	0.042395241	0.000124204	1	0.010598810	0.000031051																						8	0.084790482	0.000248409	1	0.010598810	0.000031051	35	0.370958359	0.001086788							3	0.031796431	0.000093153	1	0.010598810	0.000031051	2	0.021197621	0.000062102	4	0.042395241	0.000124204																																														4	0.042395241	0.000124204							2	0.021197621	0.000062102																																																																																														5	0.052994051	0.000155255	7	0.074191672	0.000217358				1	0.010598810	0.000031051				2	0.021197621	0.000062102	1	0.010598810	0.000031051							7	0.074191672	0.000217358													3	0.031796431	0.000093153	5	0.052994051	0.000155255	3	0.031796431	0.000093153	5	0.052994051	0.000155255
MYK_R_8	37.4719	25.4284	37.4711	25.4289	2017-08-27	94.35	2147.0	11.00	31	3	0.031796431	0.0001270270				2	0.021197621	0.000084685	4	0.042395241	0.000169370	7	0.074191672	0.000296397				5	0.052994051	0.000211712	1	0.010598810	0.000042342																						11	0.116586913	0.000465766	2	0.021197621	0.000084685	19	0.201377395	0.000804505							8	0.084790482	0.000338739				8	0.084790482	0.000338739	5	0.052994051	0.000211712																																														3	0.031796431	0.000127027																																					3	0.031796431	0.000127027																																					1	0.010598810	0.000042342																									2	0.021197621	0.000084685	3	0.031796431	0.000127027	5	0.052994051	0.000211712																			7	0.074191672	0.000296397													4	0.042395241	0.000169370	4	0.042395241	0.000169370				12	0.127185723	0.000508109																									1	0.010598810	0.000042342
MYK_R_9	37.4719	25.4284	37.4711	25.4289	2017-09-23	94.35	2147.0	10.00	27	1	0.010598810	0.0000465766	2	0.021197621	0.000093153				4	0.042395241	0.000186306	4	0.042395241	0.000186306	2	0.021197621	0.000093153	2	0.021197621	0.000093153	1	0.010598810	0.000046577																						15	0.158982154	0.000698649				21	0.222575015	0.000978109							9	0.095389292	0.000419190	1	0.010598810	0.000046577	7	0.074191672	0.000326036	4	0.042395241	0.000186306																																																							2	0.021197621	0.000093153																									2	0.021197621	0.000093153																																																																						6	0.063592862	0.000279460	3	0.031796431	0.000139730										1	0.010598810	0.000046577													3	0.031796431	0.000139730							4	0.042395241	0.000186306	2	0.021197621	0.000093153	4	0.042395241	0.000186306	7	0.074191672	0.000326036																2	0.021197621	0.000093153							1	0.010598810	0.000046577
MYK_R_11	37.4719	25.4284	37.4711	25.4289	2017-11-24	94.35	2147.0	37.00	62	3	0.031796431	0.0000377648				6	0.063592862	0.000075530	7	0.074191672	0.000088118	4	0.042395241	0.000050353	2	0.021197621	0.000025177	1	0.010598810	0.000012588	4	0.042395241	0.000050353				1	0.010598810	0.000012588										1	0.010598810	0.000012588				9	0.095389292	0.000113294	4	0.042395241	0.000050353	22	0.233173826	0.000276942	1	0.010598810	0.000012588				16	0.169580964	0.000201412				8	0.084790482	0.000100706							1	0.010598810	0.000012588																									4	0.042395241	0.000050353										1	0.010598810	0.000012588										1	0.010598810	0.000012588																1	0.010598810	0.000012588							4	0.042395241	0.000050353																									2	0.021197621	0.000025177																																		2	0.021197621	0.000025177	1	0.010598810	0.000012588	1	0.010598810	0.000012588	7	0.074191672	0.000088118										4	0.042395241	0.000050353	1	0.010598810	0.000012588										1	0.010598810	0.000012588										4	0.042395241	0.000050353	4	0.042395241	0.000050353				12	0.127185723	0.000151059																1	0.010598810	0.000012588	3	0.031796431	0.000037765
RHD_T_2	36.2276	27.1478	36.2283	27.1483	2017-02-28	98.24	2813.0	289.00	58				5	0.050896047	0.000006150							16	0.162867349	0.000019681	1	0.010179209	0.000001230	10	0.101792093	0.000012301	3	0.030537628	0.000003690				2	0.020358419	0.000002460				2	0.020358419	0.000002460	4	0.040716837	0.000004920				6	0.061075256	0.000007380	49	0.498781257	0.000060274	3	0.030537628	0.000003690	3	0.030537628	0.000003690	2	0.020358419	0.000002460	1	0.010179209	0.000001230				3	0.030537628	0.000003690	4	0.040716837	0.000004920	1	0.010179209	0.000001230																									1	0.010179209	0.000001230	5	0.050896047	0.000006150																			1	0.010179209	0.000001230													1	0.010179209	0.000001230	3	0.030537628	0.000003690	4	0.040716837	0.000004920	68	0.692186234	0.000083645	2	0.020358419	0.000012258	6	0.061075256	0.000036775	44	0.447885210	0.000054123													1	0.010179209	0.000001230	3	0.030537628	0.000003690				3	0.030537628	0.000003690													4	0.040716837	0.000004920	3	0.030537628	0.000003690																						1	0.010179209	0.000001230	1	0.010179209	0.000001230																																					1	0.010179209	0.000001230	1	0.010179209	0.000001230	1	0.010179209	0.000001230																															3	0.030537628	0.000003690	2	0.020358419	0.000002460	1	0.010179209	0.000001230	2	0.020358419	0.000002460
RHD_T_5	36.2276	27.1478	36.2283	27.1483	2017-05-30	98.24	2813.0	45.00	91				2	0.020358419	0.000015800							13	0.132329721	0.000102698				3	0.030537628	0.000023699																									24	0.244301024	0.000189596	1	0.010179209	0.000007900	32	0.325734698	0.000252795													2	0.020358419	0.000015800																																																																												53	0.539498094	0.000418691	4	0.040716837	0.000015626				1	0.010179209	0.000007900																																																																2	0.020358419	0.000015800				2	0.020358419	0.000015800																																					11	0.111971303	0.000086898	5	0.050896047	0.000039499																															1	0.010179209	0.000007900																												1	0.010179209	0.000007900
RHD_T_6	36.2276	27.1478	36.2283	27.1483	2017-06-26	98.24	2813.0		27				8	0.081433675	0.000105331							19	0.193404977	0.000250161				2	0.020358419	0.000026333				1	0.010179209	0.000013166																			30	0.305376280	0.000394992	4	0.040716837	0.000052665	65	0.661648606	0.000855815										1	0.010179209	0.000013166	5	0.050896047	0.000065832																																																										2	0.020358419	0.000026333																116	1.180788281	0.001527300	7	0.071254465	0.000092165	2	0.020358419	0.000026333	15	0.152688140	0.000197496																																																																			2	0.020358419	0.000026333	5	0.050896047	0.000065832	3	0.030537628	0.000039499	5	0.050896047	0.000065832																															8	0.081433675	0.000105331	2	0.020358419	0.000026333																															3	0.030537628	0.000039499
RHD_T_7	36.2276	27.1478	36.2283	27.1483	2017-07-18	98.24	2813.0		22				5	0.050896047	0.000080794							15	0.152688140	0.000242381				5	0.050896047	0.000080794				2	0.020358419	0.000032317													1	0.010179209	0.000016159				45	0.458064420	0.000727143	8	0.081433675	0.000129270	88	0.895770420	0.001421969										4	0.040716837	0.000064635	6	0.061075256	0.000096952																																																																												39	0.396989164	0.000630191																2	0.020358419	0.000032317																									2	0.020358419	0.000032317																2	0.020358419	0.000032317										5	0.050896047	0.000080794	3	0.030537628	0.000048476	5	0.050896047	0.000080794	5	0.050896047	0.000080794	4	0.040716837	0.000064635																															5	0.050896047	0.000080794	3	0.030537628	0.000048476				6	0.061075256	0.000096952																												1	0.010179209	0.000016159																									3	0.030537628	0.000048476
RHD_T_8	36.2276	27.1478	36.2283	27.1483	2017-08-10	98.24	2813.0		23				2	0.020358419	0.000030912	2	0.020358419	0.000030912	2	0.020358419	0.000030912	10	0.101792093	0.000154562				12	0.122150512	0.000185474																									38	0.386809954	0.000587335	5	0.050896047	0.000077281	92	0.936487258	0.001421969	3	0.030537628	0.000046369							1	0.010179209	0.000015456	7	0.071254465	0.000108193										2	0.020358419	0.000030912																1	0.010179209	0.000015456	1	0.010179209	0.000015456																																											50	0.508960466	0.000772809	3	0.030537628	0.000046369	1	0.010179209	0.000015456										1	0.010179209	0.000015456																1	0.010179209	0.000015456							1	0.010179209	0.000015456							1	0.010179209	0.000015456													2	0.020358419	0.000030912				1	0.010179209	0.000015456	3	0.030537628	0.000046369	2	0.020358419	0.000030912	6	0.061075256	0.000092737	1	0.010179209	0.000015456																												1	0.010179209	0.000015456	8	0.081433675	0.000123650	4	0.040716837	0.000061825				2	0.020358419	0.000030912																									2	0.020358419	0.000030912																												15	0.152688140	0.000231843
RHD_T_9	36.2276	27.1478	36.2283	27.1483	2017-09-11	98.24	2813.0		32				2	0.020358419	0.000022218	1	0.010179209	0.000011109	3	0.030537628	0.000033327	7	0.071254465	0.000077764				15	0.152688140	0.000166637																									22	0.223942605	0.000244401	7	0.071254465	0.000077764	60	0.610752559	0.000666548	1	0.010179209	0.000011109										2	0.020358419	0.000022218																																		1	0.010179209	0.000011109																																								48	0.488602047	0.000533239				1	0.010179209	0.000011109																																											1	0.010179209	0.000011109										1	0.010179209	0.000011109				3	0.030537628	0.000033327				2	0.020358419	0.000022218							3	0.030537628	0.000033327	1	0.010179209	0.000011109																															6	0.061075256	0.000066655	2	0.020358419	0.000022218				3	0.030537628	0.000033327																									3	0.030537628	0.000033327																												6	0.061075256	0.000066655
RHD_T_11	36.2276	27.1478	36.2283	27.1483	2017-11-16	98.24	2813.0		66				1	0.010179209	0.000005386				2	0.020358419	0.000010773	3	0.030537628	0.000016159				5	0.050896047	0.000026931																									15	0.152688140	0.000080794	1	0.010179209	0.000005386	33	0.335913908	0.000177746	2	0.020358419	0.000010773																																																	1	0.010179209	0.000005386																																					106	1.078996188	0.000570942	51	0.519139675	0.000274699	6	0.061075256	0.000032317				1	0.010179209	0.000005386																									1	0.010179209	0.000005386				1	0.010179209	0.000005386																						2	0.020358419	0.000010773							1	0.010179209	0.000005386				1	0.010179209	0.000005386	1	0.010179209	0.000005386																															2	0.020358419	0.000010773	1	0.010179209	0.000005386				2	0.020358419	0.000010773																									2	0.020358419	0.000010773																												32	0.325734698	0.000172360
RHD_T_PA	35.0159	34.0546	35.0167	34.0540	2019-09-03	98.47	2813.0	30.00		1	0.010155461	0.0000118497	4	0.040621845	0.000047399	1	0.010155461	0.000011850				5	0.050777306	0.000059249				6	0.060932767	0.000071098				1	0.010155461	0.000011850																			12	0.121865534	0.000142197	3	0.030466383	0.000035549	26	0.264041990	0.000308093													6	0.060932767	0.000071098																																																																												408	4.143428153	0.004834696	200	2.031092232	#999.999000000			#999.999000000	1	0.010155461	0.000011850																																																										1	0.010155461	0.000011850	1	0.010155461	0.000011850										4	0.040621845	0.000047399	3	0.030466383	0.000035549																															2	0.020310922	0.000023699							2	0.020310922	0.000023699										1	0.010155461	0.000011850													4	0.040621845	0.000047399
RHD_L_2	36.2728	28.1700	36.2736	28.1705	2017-02-28	100.59	2049.0	289.00	58	1	0.009941441	0.0000016887	2	0.019882881	0.000003377							18	0.178945929	0.000030397	3	0.029824322	0.000005066				3	0.029824322	0.000005066	1	0.009941441	0.000001689	1	0.009941441	0.000001689													1	0.009941441	0.000001689	8	0.079531524	0.000013510	1	0.009941441	0.000001689	7	0.069590084	0.000011821							1	0.009941441	0.000001689				5	0.049707203	0.000008444																																																																1	0.009941441	0.000001689	1	0.009941441	0.000001689	2	0.019882881	0.000003377	41	0.407599061	0.000069238	67	0.666076514	0.000113145	6	0.059648643	0.000050487	11	0.109355846	0.000092560																			2	0.019882881	0.000003377																			5	0.049707203	0.000008444																1	0.009941441	0.000001689																			1	0.009941441	0.000001689																												4	0.039765762	0.000006755	4	0.039765762	0.000006755	3	0.029824322	0.000005066																															1	0.009941441	0.000001689				3	0.029824322	0.000005066																						1	0.009941441	0.000001689
RHD_L_5	36.2728	28.1700	36.2736	28.1705	2017-05-29	100.59	2049.0		90				5	0.049707203	0.000027114							15	0.149121608	0.000081340	1	0.009941441	0.000005423							1	0.009941441	0.000005423																			12	0.119297286	0.000065072				10	0.099414405	0.000054227										1	0.009941441	0.000005423	2	0.019882881	0.000010845																																																																												86	0.854963884	0.000466352	26	0.258477453	0.000140990	13	0.129238727	0.000070495																																																													2	0.019882881	0.000010845				1	0.009941441	0.000005423	2	0.019882881	0.000010845	2	0.019882881	0.000010845																																					2	0.019882881	0.000010845	2	0.019882881	0.000010845																																																													10	0.099414405	0.000054227
RHD_L_6	36.2728	28.1700	36.2736	28.1705	2017-06-22	100.59	2049.0		24				7	0.069590084	0.000142346							22	0.218711691	0.000447373				2	0.019882881	0.000040670																									22	0.218711691	0.000447373				19	0.188887370	0.000386367										1	0.009941441	0.000020335	3	0.029824322	0.000061005																																																																												96	0.954378289	0.001952172	13	0.129238727	0.000264357	10	0.099414405	0.000203351																																																													2	0.019882881	0.000040670							5	0.049707203	0.000101676							4	0.039765762	0.000081340																															8	0.079531524	0.000162681	6	0.059648643	0.000122011																																																													7	0.069590084	0.000142346
RHD_L_7	36.2728	28.1700	36.2736	28.1705	2017-07-17	100.59	2049.0		25				2	0.019882881	0.000039043							16	0.159063048	0.000312347				7	0.069590084	0.000136652							1	0.009941441	0.000019522																15	0.149121608	0.000292826	2	0.019882881	0.000039043	22	0.218711691	0.000429478													4	0.039765762	0.000078087							1	0.009941441	0.000019522																									2	0.019882881	0.000039043																																		3	0.029824322	0.000058565				56	0.556720669	0.001093216	2	0.019882881	0.000039043				1	0.009941441	0.000019522																																		2	0.019882881	0.000039043							1	0.009941441	0.000019522													1	0.009941441	0.000019522							5	0.049707203	0.000097609							1	0.009941441	0.000019522																												2	0.019882881	0.000039043	6	0.059648643	0.000117130	4	0.039765762	0.000078087																															2	0.019882881	0.000039043
RHD_L_8	36.2728	28.1700	36.2736	28.1705	2017-08-09	100.59	2049.0		23										3	0.029824322	0.000063658	112	1.113441337	0.002376557	2	0.019882881	0.000042438	8	0.079531524	0.000169754				2	0.019882881	0.000042438																			28	0.278360334	0.000594139	2	0.019882881	0.000042438	20	0.198828810	0.000424385	1	0.009941441	0.000021219										9	0.089472965	0.000190973	3	0.029824322	0.000063658							2	0.019882881	0.000042438																									1	0.009941441	0.000021219																																					21	0.208770251	0.000445604													1	0.009941441	0.000021219				1	0.009941441	0.000021219													1	0.009941441	0.000021219																1	0.009941441	0.000021219							2	0.019882881	0.000042438				4	0.039765762	0.000084877				5	0.049707203	0.000106096	4	0.039765762	0.000084877							2	0.019882881	0.000042438																												2	0.019882881	0.000042438	7	0.069590084	0.000148535	4	0.039765762	0.000084877				3	0.029824322	0.000063658																									4	0.039765762	0.000084877	1	0.009941441	0.000021219
RHD_L_9	36.2728	28.1700	36.2736	28.1705	2017-09-12	100.59	2049.0		34	1	0.009941441	0.0000143542				1	0.009941441	0.000014354	1	0.009941441	0.000014354	10	0.099414405	0.000143542				10	0.099414405	0.000143542				1	0.009941441	0.000014354																1	0.009941441	0.000014354	22	0.218711691	0.000315792	1	0.009941441	0.000014354	21	0.208770251	0.000301438	2	0.019882881	0.000028708										8	0.079531524	0.000114834				1	0.009941441	0.000014354				2	0.019882881	0.000028708																						1	0.009941441	0.000014354																																								22	0.218711691	0.000315792							2	0.019882881	0.000028708							2	0.019882881	0.000028708																																					2	0.019882881	0.000028708										6	0.059648643	0.000086125				2	0.019882881	0.000028708	2	0.019882881	0.000028708							3	0.029824322	0.000043063																												1	0.009941441	0.000014354	9	0.089472965	0.000129188	5	0.049707203	0.000071771																															3	0.029824322	0.000043063
RHD_L_11	36.2728	28.1700	36.2736	28.1705	2017-11-15	100.59	2049.0		64							2	0.019882881	0.000015251				5	0.049707203	0.000038128				3	0.029824322	0.000022877				2	0.019882881	0.000015251																2	0.019882881	0.000015251	10	0.099414405	0.000076257	5	0.049707203	0.000038128	8	0.079531524	0.000061005	6	0.059648643	0.000045754										4	0.039765762	0.000030503	2	0.019882881	0.000015251																																		1	0.009941441	0.000007626																1	0.009941441	0.000007626																			44	0.437423383	0.000335530	4	0.039765762	0.000030503																1	0.009941441	0.000007626																															1	0.009941441	0.000007626							1	0.009941441	0.000007626				2	0.019882881	0.000015251				3	0.029824322	0.000022877	1	0.009941441	0.000007626							2	0.019882881	0.000015251																															5	0.049707203	0.000038128	1	0.009941441	0.000007626																															2	0.019882881	0.000015251
RHD_L_PA	36.2728	28.1700	36.2736	28.1705	2019-09-03	100.59	20149.0	141.00														5	0.049707203	0.000001760				7	0.069590084	0.000002464																									8	0.079531524	0.000002816	5	0.049707203	0.000001760	11	0.109355846	0.000003872													4	0.039765762	0.000001408																																																																												211	2.097643948	0.000074269	206	2.047936746	#999.999000000			#999.999000000																																																													2	0.019882881	0.000000704				1	0.009941441	0.000000352																																											5	0.049707203	0.000001760	1	0.009941441	0.000000352																															1	0.009941441	0.000000352
RHD_R_3	36.0252	27.9334	36.0259	27.9339	2017-03-14	93.92	3998.0	303.00	72							3	0.031942292	0.000002476				10	0.106474308	0.000008255	1	0.010647431	0.000000825	1	0.010647431	0.000000825	1	0.010647431	0.000000825																						16	0.170358893	0.000013208	1	0.010647431	0.000000825													1	0.010647431	0.000000825	1	0.010647431	0.000000825																															2	0.021294862	0.000001651																																					8	0.085179446	0.000006604	4	0.042589723	0.000003302	5	0.053237154	0.000004127				1	0.010647431	0.000003474	1	0.010647431	0.000000825	4	0.042589723	0.000003302													5	0.053237154	0.000004127				1	0.010647431	0.000000825	2	0.021294862	0.000001651				1	0.010647431	0.000000825				2	0.021294862	0.000001651																												1	0.010647431	0.000000825	1	0.010647431	0.000000825																																		1	0.010647431	0.000000825																																		1	0.010647431	0.000000825	4	0.042589723	0.000003302																3	0.031942292	0.000002476										2	0.021294862	0.000001651
RHD_R_5	36.0252	27.9334	36.0259	27.9339	2017-05-24	93.92	3998.0		71							1	0.010647431	0.000003523				2	0.021294862	0.000007046																															5	0.053237154	0.000017614				8	0.085179446	0.000028183																																																																																											6	0.063884585	0.000021137																																																																															3	0.031942292	0.000010569				1	0.010647431	0.000003523																																																																			1	0.010647431	0.000003523
RHD_R_6	36.0252	27.9334	36.0259	27.9339	2017-06-22	93.92	3998.0		29							2	0.021294862	0.000017250																																					10	0.106474308	0.000086250				13	0.138416600	0.000112125																																																																																											93	0.990211063	0.000802125	8	0.085179446	0.000069000	7	0.074532015	0.000060375																																																																									2	0.021294862	0.000017250																																					2	0.021294862	0.000017250	1	0.010647431	0.000008625																																																													4	0.042589723	0.000034500
RHD_R_7	36.0252	27.9334	36.0259	27.9339	2017-07-17	93.92	3998.0		25										2	0.021294862	0.000020010																																		8	0.085179446	0.000080040				15	0.159711462	0.000150075	2	0.021294862	0.000020010										1	0.010647431	0.000010005																																																																						1	0.010647431	0.000010005				15	0.159711462	0.000150075	1	0.010647431	0.000010005																																																																												3	0.031942292	0.000030015																																					3	0.031942292	0.000030015	3	0.031942292	0.000030015																															2	0.021294862	0.000020010
RHD_R_8	36.0252	27.9334	36.0259	27.9339	2017-08-11	93.92	3998.0		25				1	0.010647431	0.000010005	4	0.042589723	0.000040020																																					9	0.095826877	0.000090045	2	0.021294862	0.000020010	20	0.212948616	0.000200100										1	0.010647431	0.000010005				2	0.021294862	0.000020010																																																				1	0.010647431	0.000010005																			42	0.447192093	0.000420210	8	0.085179446	0.000080040										1	0.010647431	0.000010005																			1	0.010647431	0.000010005																1	0.010647431	0.000010005							1	0.010647431	0.000010005																2	0.021294862	0.000020010				1	0.010647431	0.000010005																															3	0.031942292	0.000030015	3	0.031942292	0.000030015				2	0.021294862	0.000020010																									3	0.031942292	0.000030015
RHD_R_9	36.0252	27.9334	36.0259	27.9339	2017-09-14	93.92	3998.0		34							5	0.053237154	0.000036783																															1	0.010647431	0.000007357	5	0.053237154	0.000036783							17	0.181006323	0.000125063																3	0.031942292	0.000022070																																																																									17	0.181006323	0.000125063										1	0.010647431	0.000007357				1	0.010647431	0.000007357																						1	0.010647431	0.000007357	1	0.010647431	0.000007357																																		1	0.010647431	0.000007357				2	0.021294862	0.000014713																															1	0.010647431	0.000007357	1	0.010647431	0.000007357																															1	0.010647431	0.000007357	1	0.010647431	0.000007357				1	0.010647431	0.000007357
RHD_R_11	36.0252	27.9334	36.0259	27.9339	2017-11-20	93.92	3998.0		67							2	0.021294862	0.000007466																																					2	0.021294862	0.000007466				10	0.106474308	0.000037332													1	0.010647431	0.000003733	3	0.031942292	0.000011200							1	0.010647431	0.000003733																																																																18	0.191653754	0.000067198																																																													1	0.010647431	0.000003733										1	0.010647431	0.000003733	1	0.010647431	0.000003733	2	0.021294862	0.000007466				1	0.010647431	0.000003733																																								1	0.010647431	0.000003733																									2	0.021294862	0.000007466
CYP_T_3	35.0159	34.0546	35.0167	34.0540	2017-03-04	98.47	2157.0	17.00	62																																														2	0.020310922	0.000054542				27	0.274197451	0.000736317										4	0.040621845	0.000109084				1	0.010155461	0.000027271																																																																						1	0.010155461	0.000027271	45	0.456995752	0.001227195	2	0.020310922	0.000014955				3	0.030466383	0.000081813																																																																						1	0.010155461	0.000027271																												1	0.010155461	0.000027271													2	0.020310922	0.000054542																																		1	0.010155461	0.000027271	2	0.020310922	0.000054542				3	0.030466383	0.000081813													15	0.152331917	0.000409065
CYP_T_5	35.0159	34.0546	35.0167	34.0540	2017-06-01	98.47	2157.0	3.00	89							1	0.010155461	0.000154536																																					6	0.060932767	0.000927214	1	0.010155461	0.000154536	70	0.710882281	0.010817493							8	0.081243689	0.001236285	4	0.040621845	0.000618142	1	0.010155461	0.000154536	9	0.091399150	0.001390821																												3	0.030466383	0.000463607							1	0.010155461	0.000154536																															1	0.010155461	0.000154536	533	5.412860798	0.082367486	120	1.218655339	0.000625088	448	4.549646600	0.002333662	38	0.385907524	0.005872354																						5	0.050777306	0.000772678													2	0.020310922	0.000309071	1	0.010155461	0.000154536																									2	0.020310922	0.000309071				1	0.010155461	0.000154536				14	0.142176456	0.002163499													1	0.010155461	0.000154536				7	0.071088228	0.001081749							3	0.030466383	0.000463607																												8	0.081243689	0.001236285							1	0.010155461	0.000154536				3	0.030466383	0.000463607				7	0.071088228	0.001081749	1	0.010155461	0.000154536										18	0.182798301	0.002781641
CYP_T_6	35.0159	34.0546	35.0167	34.0540	2017-06-30	98.47	2157.0	1.00	29							4	0.040621845	0.001854427				1	0.010155461	0.000463607				2	0.020310922	0.000927214																									10	0.101554612	0.004636069				50	0.507773058	0.023180343							16	0.162487379	0.007417710	12	0.121865534	0.005563282	2	0.020310922	0.000927214	68	0.690571359	0.031525267																									1	0.010155461	0.000463607	1	0.010155461	0.000463607																																											152	1.543630096	0.070468243	49	0.497617597	0.000783336	78	0.792125970	0.001246943																									12	0.121865534	0.005563282	2	0.020310922	0.000927214										1	0.010155461	0.000463607	2	0.020310922	0.000927214																												2	0.020310922	0.000927214	2	0.020310922	0.000927214				11	0.111710073	0.005099675																												1	0.010155461	0.000463607				3	0.030466383	0.001390821	7	0.071088228	0.003245248																			3	0.030466383	0.001390821				4	0.040621845	0.001854427							3	0.030466383	0.001390821				20	0.203109223	0.009272137
CYP_T_7	35.0159	34.0546	35.0167	34.0540	2017-07-14	98.47	2157.0	0.75	14							4	0.040621845	0.002472570				13	0.132020995	0.008035852				1	0.010155461	0.000618142																									6	0.060932767	0.003708855				35	0.355441141	0.021634987							2	0.020310922	0.001236285	4	0.040621845	0.002472570	24	0.243731068	0.014835420	10	0.101554612	0.006181425																																																																									262	2.660730824	0.161953330	78	0.792125970	0.002582953	63	0.639794053	0.002086231	11	0.111710073	0.006799567																						6	0.060932767	0.003708855																																					1	0.010155461	0.000618142							1	0.010155461	0.000618142							12	0.121865534	0.007417710																			1	0.010155461	0.000618142							4	0.040621845	0.002472570																												4	0.040621845	0.002472570				4	0.040621845	0.002472570													4	0.040621845	0.002472570													2	0.020310922	0.001236285
CYP_T_8	35.0159	34.0546	35.0167	34.0540	2017-08-30	98.47	2157.0	1.00	47							3	0.030466383	0.001390821				7	0.071088228	0.003245248																															13	0.132020995	0.006026889				483	4.905087740	0.223922114							8	0.081243689	0.003708855	4	0.040621845	0.001854427	7	0.071088228	0.003245248	13	0.132020995	0.006026889																																																																									216	2.193579610	0.100139082	33	0.335130218	0.000325511	58	0.589016747	0.000572111	14	0.142176456	0.006490496																						4	0.040621845	0.001854427	1	0.010155461	0.000463607													1	0.010155461	0.000463607																																					6	0.060932767	0.002781641																																		2	0.020310922	0.000927214																						1	0.010155461	0.000463607													1	0.010155461	0.000463607				20	0.203109223	0.009272137													4	0.040621845	0.001854427
CYP_T_9	35.0159	34.0546	35.0167	34.0540	2017-09-21	98.47	2157.0	1.00	22													2	0.020310922	0.000927214				1	0.010155461	0.000463607																									10	0.101554612	0.004636069				168	1.706117475	0.077885953							4	0.040621845	0.001854427	7	0.071088228	0.003245248	5	0.050777306	0.002318034	13	0.132020995	0.006026889	1	0.010155461	0.000463607																									1	0.010155461	0.000463607																1	0.010155461	0.000463607																									267	2.711508130	0.123783032	74	0.751504126	0.001559405	146	1.482697329	0.003076664	10	0.101554612	0.004636069																						6	0.060932767	0.002781641	2	0.020310922	0.000927214																												4	0.040621845	0.001854427																						24	0.243731068	0.011126565																												1	0.010155461	0.000463607				3	0.030466383	0.001390821	3	0.030466383	0.001390821																			1	0.010155461	0.000463607																			3	0.030466383	0.001390821													5	0.050777306	0.002318034
CYP_T_11	35.0159	34.0546	35.0167	34.0540	2017-11-02	98.47	2157.0	3.00	42													2	0.020310922	0.000309071																															9	0.091399150	0.001390821	1	0.010155461	0.000154536	305	3.097415654	0.047133364							10	0.101554612	0.001545356	8	0.081243689	0.001236285	1	0.010155461	0.000154536	23	0.233575607	0.003554319																																																	1	0.010155461	0.000154536																						489	4.966020507	0.075567918	105	1.066323422	0.001159017	526	5.341772570	0.005806124	46	0.467151213	0.007108639							4	0.040621845	0.000618142																1	0.010155461	0.000154536																																								3	0.030466383	0.000463607										10	0.101554612	0.001545356																			2	0.020310922	0.000309071							2	0.020310922	0.000309071				1	0.010155461	0.000154536																						4	0.040621845	0.000618142													1	0.010155461	0.000154536																			10	0.101554612	0.001545356
CYP_T_PA	35.0159	34.0546	35.0167	34.0540	2019-08-22	98.47	2157.0	1.00								2	0.020310922	0.000927214				14	0.142176456	0.006490496							3	0.030466383	0.001390821																						18	0.182798301	0.008344924				317	3.219281188	0.146963375							6	0.060932767	0.002781641	16	0.162487379	0.007417710	10	0.101554612	0.004636069	32	0.324974757	0.014835420				1	0.010155461	0.000463607																																																																11	0.111710073	0.005099675	202	2.051403154	0.093648586	34	0.345285679	#999.999000000	81	0.822592354	#999.999000000	16	0.162487379	0.007417710																						1	0.010155461	0.000463607													1	0.010155461	0.000463607																									1	0.010155461	0.000463607	1	0.010155461	0.000463607										8	0.081243689	0.003708855													2	0.020310922	0.000927214							1	0.010155461	0.000463607				3	0.030466383	0.001390821				3	0.030466383	0.001390821	2	0.020310922	0.000927214																																								8	0.081243689	0.003708855													1	0.010155461	0.000463607
CYP_L_3	34.8201	33.6049	34.8210	33.6049	2017-03-03	99.41	4316.0	16.00	61							1	0.010059713	0.000014481	2	0.020119426	0.000028962	2	0.020119426	0.000028962										1	0.010059713	0.000014481																			4	0.040238852	0.000057924				6	0.060358278	0.000086886							1	0.010059713	0.000014481	1	0.010059713	0.000014481	1	0.010059713	0.000014481	1	0.010059713	0.000014481																									1	0.010059713	0.000014481				3	0.030179139	0.000043443				1	0.010059713	0.000014481				1	0.010059713	0.000014481																												28	0.281671964	0.000405468							2	0.020119426	0.000028962																						3	0.030179139	0.000043443																																								1	0.010059713	0.000014481													1	0.010059713	0.000014481																												3	0.030179139	0.000043443				4	0.040238852	0.000057924
CYP_L_5	34.8201	33.6049	34.8210	33.6049	2017-05-26	99.41	4316.0	0.50	84							2	0.020119426	0.000926784				4	0.040238852	0.001853568																															4	0.040238852	0.001853568	1	0.010059713	0.000463392				1	0.010059713	0.000463392				2	0.020119426	0.000926784	3	0.030179139	0.001390176	1	0.010059713	0.000463392	1	0.010059713	0.000463392																																					1	0.010059713	0.000463392																																		222	2.233256284	0.102873031	48	0.482866223	0.000132398	9	0.090537417	0.000024825	3	0.030179139	0.001390176																						1	0.010059713	0.000463392																																														6	0.060358278	0.002780352																												1	0.010059713	0.000463392							6	0.060358278	0.002780352
CYP_L_6	34.8201	33.6049	34.8210	33.6049	2017-06-29	99.41	4316.0	0.50	34							2	0.020119426	0.000926784				2	0.020119426	0.000926784																															12	0.120716556	0.005560704				48	0.482866223	0.022242817							6	0.060358278	0.002780352	3	0.030179139	0.001390176	4	0.040238852	0.001853568	9	0.090537417	0.004170528																												1	0.010059713	0.000463392																																											218	2.193017432	0.101019462	49	0.492925936	0.000333915	3	0.030179139	0.000020444							1	0.010059713	0.000463392																8	0.080477704	0.003707136													1	0.010059713	0.000463392																															1	0.010059713	0.000463392							13	0.130776269	0.006024096																			4	0.040238852	0.001853568							1	0.010059713	0.000463392				6	0.060358278	0.002780352																			1	0.010059713	0.000463392																						3	0.030179139	0.001390176													1	0.010059713	0.000463392
CYP_L_7	34.8201	33.6049	34.8210	33.6049	2017-07-13	99.41	4316.0	1.00	14							1	0.010059713	0.000231696										1	0.010059713	0.000231696																									10	0.100597130	0.002316960				74	0.744418761	0.017145505																19	0.191134547	0.004402224																																																																						1	0.010059713	0.000231696	223	2.243315997	0.051668211	40	0.402388520	0.000661989	18	0.181074834	0.000297895	1	0.010059713	0.000231696				1	0.010059713	0.000231696																6	0.060358278	0.001390176																																																							4	0.040238852	0.000926784													1	0.010059713	0.000231696																			1	0.010059713	0.000231696	2	0.020119426	0.000463392																									2	0.020119426	0.000463392													12	0.120716556	0.002780352													2	0.020119426	0.000463392
CYP_L_8	34.8201	33.6049	34.8210	33.6049	2017-08-10	99.41	4316.0	2.00	28													4	0.040238852	0.000463392																															7	0.070417991	0.000810936				198	1.991823172	0.022937905							1	0.010059713	0.000115848				9	0.090537417	0.001042632	24	0.241433112	0.002780352																																																																									143	1.438538957	0.016566265	30	0.301791390	0.000248246	7	0.070417991	0.000057924	1	0.010059713	0.000115848																						1	0.010059713	0.000115848																															5	0.050298565	0.000579240																						7	0.070417991	0.000810936																												12	0.120716556	0.001390176				2	0.020119426	0.000231696																						2	0.020119426	0.000231696																			7	0.070417991	0.000810936													3	0.030179139	0.000347544
CYP_L_9	34.8201	33.6049	34.8210	33.6049	2017-09-20	99.41	4316.0	2.00	41				2	0.020119426	0.000231696							3	0.030179139	0.000347544																															9	0.090537417	0.001042632				108	1.086449003	0.012511585							2	0.020119426	0.000231696	1	0.010059713	0.000115848				5	0.050298565	0.000579240	5	0.050298565	0.000579240																									3	0.030179139	0.000347544																									5	0.050298565	0.000579240																219	2.203077145	0.025370714	56	0.563343927	0.000316463	20	0.201194260	0.000113022	2	0.020119426	0.000231696																						1	0.010059713	0.000115848																1	0.010059713	0.000115848																																					8	0.080477704	0.000926784													1	0.010059713	0.000115848													2	0.020119426	0.000231696				3	0.030179139	0.000347544	2	0.020119426	0.000231696																			8	0.080477704	0.000926784				1	0.010059713	0.000115848							2	0.020119426	0.000231696				2	0.020119426	0.000231696													1	0.010059713	0.000115848
CYP_L_11	34.8201	33.6049	34.8210	33.6049	2017-11-08	99.41	4316.0	18.00	49													3	0.030179139	0.000038616																															11	0.110656843	0.000141592				25	0.251492825	0.000321800							5	0.050298565	0.000064360	1	0.010059713	0.000012872	4	0.040238852	0.000051488																																																																												368	3.701974380	0.004736896	57	0.573403640	0.000269524	22	0.221313686	0.000104027	23	0.231373399	0.000296056							4	0.040238852	0.000051488																																																																						1	0.010059713	0.000012872																																					2	0.020119426	0.000025744																2	0.020119426	0.000025744	6	0.060358278	0.000077232				1	0.010059713	0.000012872							1	0.010059713	0.000012872																			2	0.020119426	0.000025744
CYP_L_PA	34.8201	33.6049	34.8210	33.6049	2019-08-16	99.41	4316.0	2.00														4	0.040238852	0.000463392																															3	0.030179139	0.000347544	1	0.010059713	0.000115848	71	0.714239622	0.008225209							10	0.100597130	0.001158480	2	0.020119426	0.000231696	3	0.030179139	0.000347544	9	0.090537417	0.001042632																																																																									270	2.716122507	0.031278962	79	0.794717326	#999.999000000	6	0.060358278	#999.999000000	10	0.100597130	0.001158480							2	0.020119426	0.000231696													4	0.040238852	0.000463392																																											1	0.010059713	0.000115848	1	0.010059713	0.000115848							2	0.020119426	0.000231696													1	0.010059713	0.000115848													4	0.040238852	0.000463392				6	0.060358278	0.000695088	2	0.020119426	0.000231696																			1	0.010059713	0.000115848				4	0.040238852	0.000463392							4	0.040238852	0.000463392				9	0.090537417	0.001042632
CYP_R_3	34.7099	32.4879	34.7091	32.4883	2017-03-03	99.54	2300.0	16.00	61							4	0.040186546	0.000108696	4	0.040186546	0.000108696	6	0.060279819	0.000163043																															6	0.060279819	0.000163043													2	0.020093273	0.000054348																																		1	0.010046636	0.000027174																																								1	0.010046636	0.000027174	4	0.040186546	0.000108696																																					1	0.010046636	0.000027174										1	0.010046636	0.000027174																																																													1	0.010046636	0.000027174							5	0.050233182	0.000135870				2	0.020093273	0.000054348	2	0.020093273	0.000054348																																		3	0.030139909	0.000081522
CYP_R_5	34.7099	32.4879	34.7091	32.4883	2017-05-26	99.54	2300.0		84							8	0.080373092	0.000041408				17	0.170792820	0.000087992	4	0.040186546	0.000020704	3	0.030139909	0.000015528																									1	0.010046636	0.000005176				8	0.080373092	0.000041408							1	0.010046636	0.000005176	2	0.020093273	0.000010352	4	0.040186546	0.000020704	1	0.010046636	0.000005176							1	0.010046636	0.000005176																2	0.020093273	0.000010352	5	0.050233182	0.000025880	3	0.030139909	0.000015528				7	0.070326455	0.000036232																3	0.030139909	0.000015528													8	0.080373092	0.000041408	123	1.235736283	0.000636646	33	0.331539003	0.000170807	5	0.050233182	0.000025880	5	0.050233182	0.000025880																						5	0.050233182	0.000025880													2	0.020093273	0.000010352	2	0.020093273	0.000010352	1	0.010046636	0.000005176										2	0.020093273	0.000010352	2	0.020093273	0.000010352							1	0.010046636	0.000005176				3	0.030139909	0.000015528	1	0.010046636	0.000005176	2	0.020093273	0.000010352																			1	0.010046636	0.000005176	1	0.010046636	0.000005176	1	0.010046636	0.000005176	5	0.050233182	0.000025880																												1	0.010046636	0.000005176							1	0.010046636	0.000005176				13	0.130606274	0.000067288																			3	0.030139909	0.000015528
CYP_R_6	34.7099	32.4879	34.7091	32.4883	2017-06-29	99.54	2300.0		34													4	0.040186546	0.000051151																															12	0.120559637	0.000153453				8	0.080373092	0.000102302							5	0.050233182	0.000063939				6	0.060279819	0.000076726	10	0.100466364	0.000127877																									4	0.040186546	0.000051151	1	0.010046636	0.000012788							2	0.020093273	0.000025575										2	0.020093273	0.000025575																			9	0.090419728	0.000115090	149	1.496948830	0.001905371	43	0.432005367	0.000549872	2	0.020093273	0.000025575	11	0.110513001	0.000140665																						8	0.080373092	0.000102302	1	0.010046636	0.000012788													3	0.030139909	0.000038363																1	0.010046636	0.000012788										1	0.010046636	0.000012788							4	0.040186546	0.000051151																			5	0.050233182	0.000063939							3	0.030139909	0.000038363																												1	0.010046636	0.000012788													4	0.040186546	0.000051151				5	0.050233182	0.000063939
CYP_R_7	34.7099	32.4879	34.7091	32.4883	2017-07-13	99.54	2300.0		14							1	0.010046636	0.000031056				9	0.090419728	0.000279503	1	0.010046636	0.000031056																												15	0.150699547	0.000465839				2	0.020093273	0.000062112							1	0.010046636	0.000031056	1	0.010046636	0.000031056	7	0.070326455	0.000217391	4	0.040186546	0.000124224																																					1	0.010046636	0.000031056																															4	0.040186546	0.000124224	191	1.918907561	0.005931677	64	0.642984732	0.001987578	3	0.030139909	0.000093168	8	0.080373092	0.000248447																						7	0.070326455	0.000217391																																											1	0.010046636	0.000031056	1	0.010046636	0.000031056							6	0.060279819	0.000186335																												2	0.020093273	0.000062112																															2	0.020093273	0.000062112										2	0.020093273	0.000062112				1	0.010046636	0.000031056
CYP_R_8	34.7099	32.4879	34.7091	32.4883	2017-08-10	99.54	2300.0		28													4	0.040186546	0.000062112																															6	0.060279819	0.000093168				3	0.030139909	0.000046584										2	0.020093273	0.000031056				1	0.010046636	0.000015528	3	0.030139909	0.000046584																						3	0.030139909	0.000046584										2	0.020093273	0.000031056																																		188	1.888767652	0.002919255	29	0.291352457	0.000450311	13	0.130606274	0.000201863				7	0.070326455	0.000108696																			3	0.030139909	0.000046584																1	0.010046636	0.000015528													1	0.010046636	0.000015528	1	0.010046636	0.000015528										1	0.010046636	0.000015528	1	0.010046636	0.000015528				2	0.020093273	0.000031056																			1	0.010046636	0.000015528							2	0.020093273	0.000031056																																											1	0.010046636	0.000015528				1	0.010046636	0.000015528
CYP_R_9	34.7099	32.4879	34.7091	32.4883	2017-09-20	99.54	2300.0		41				1	0.010046636	0.000010604							7	0.070326455	0.000074231				8	0.080373092	0.000084836																									9	0.090419728	0.000095440				13	0.130606274	0.000137858										1	0.010046636	0.000010604	6	0.060279819	0.000063627	5	0.050233182	0.000053022																												7	0.070326455	0.000074231																						1	0.010046636	0.000010604																2	0.020093273	0.000021209	224	2.250446564	0.002375398	85	0.853964098	0.000901379	4	0.040186546	0.000042418	3	0.030139909	0.000031813							2	0.020093273	0.000021209													3	0.030139909	0.000031813																															2	0.020093273	0.000021209													1	0.010046636	0.000010604							11	0.110513001	0.000116649																												1	0.010046636	0.000010604																																		1	0.010046636	0.000010604							4	0.040186546	0.000042418				5	0.050233182	0.000053022
CYP_R_11	34.7099	32.4879	34.7091	32.4883	2017-11-08	99.54	2300.0		49													2	0.020093273	0.000017746																															19	0.190886092	0.000168589				5	0.050233182	0.000044366							1	0.010046636	0.000008873				4	0.040186546	0.000035492	6	0.060279819	0.000053239																									3	0.030139909	0.000026619																																											1	0.010046636	0.000008873	259	2.602078839	0.002298137	70	0.703264551	0.000621118	3	0.030139909	0.000026619	12	0.120559637	0.000106477							5	0.050233182	0.000044366																																																													2	0.020093273	0.000017746																																					8	0.080373092	0.000070985				1	0.010046636	0.000008873																																					5	0.050233182	0.000044366