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Commit 2a63c38f authored by Peter Alexander's avatar Peter Alexander
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Sync data files between hindcast and future directories

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...@@ -62,10 +62,10 @@ Azerbaijan,9.054332,Europe & Central Asia,Upper middle income,Other former USSR ...@@ -62,10 +62,10 @@ Azerbaijan,9.054332,Europe & Central Asia,Upper middle income,Other former USSR
Belarus,9.49,Europe & Central Asia,Upper middle income,Other former USSR Belarus,9.49,Europe & Central Asia,Upper middle income,Other former USSR
Kazakhstan,16.321581,Europe & Central Asia,Upper middle income,Other former USSR Kazakhstan,16.321581,Europe & Central Asia,Upper middle income,Other former USSR
Uzbekistan,28.5624,Europe & Central Asia,Lower middle income,Other former USSR Uzbekistan,28.5624,Europe & Central Asia,Lower middle income,Other former USSR
Poland,38.042794,Europe & Central Asia,High income: OECD,Poland & Baltic states Poland,38.042794,Europe & Central Asia,High income: OECD,Poland
Estonia,1.331475,Europe & Central Asia,High income: OECD,Poland & Baltic states Estonia,1.331475,Europe & Central Asia,High income: OECD,Scandinavia
Latvia,2.097555,Europe & Central Asia,High income: nonOECD,Poland & Baltic states Latvia,2.097555,Europe & Central Asia,High income: nonOECD,Scandinavia
Lithuania,3.097282,Europe & Central Asia,High income: nonOECD,Poland & Baltic states Lithuania,3.097282,Europe & Central Asia,High income: nonOECD,Scandinavia
Russian Federation,142.849449,Europe & Central Asia,High income: nonOECD,Russian Federation Russian Federation,142.849449,Europe & Central Asia,High income: nonOECD,Russian Federation
Greenland,0.056905,Europe & Central Asia,High income: nonOECD,Scandinavia Greenland,0.056905,Europe & Central Asia,High income: nonOECD,Scandinavia
Iceland,0.318041,Europe & Central Asia,High income: OECD,Scandinavia Iceland,0.318041,Europe & Central Asia,High income: OECD,Scandinavia
...@@ -137,14 +137,14 @@ Libya,6.265697,Middle East & North Africa,Upper middle income,North Africa other ...@@ -137,14 +137,14 @@ Libya,6.265697,Middle East & North Africa,Upper middle income,North Africa other
Tunisia,10.5471,Middle East & North Africa,Upper middle income,North Africa other Tunisia,10.5471,Middle East & North Africa,Upper middle income,North Africa other
Canada,34.005274,North America,High income: OECD,Canada Canada,34.005274,North America,High income: OECD,Canada
United States of America,309.346863,North America,High income: OECD,United States of America United States of America,309.346863,North America,High income: OECD,United States of America
Afghanistan,27.962207,South Asia,Low income,Afghanistan Afghanistan,27.962207,South Asia,Low income,Pakistan & Afghanistan
Bangladesh,151.616777,South Asia,Low income,Bangladesh Bangladesh,151.616777,South Asia,Low income,Bangladesh
Maldives,0.367,South Asia,Upper middle income,India & Sri Lanka Maldives,0.367,South Asia,Upper middle income,India & Sri Lanka
Sri Lanka,20.118,South Asia,Lower middle income,India & Sri Lanka Sri Lanka,20.118,South Asia,Lower middle income,India & Sri Lanka
India,1230.984504,South Asia,Lower middle income,India & Sri Lanka India,1230.984504,South Asia,Lower middle income,India & Sri Lanka
Bhutan,0.720246,South Asia,Lower middle income,Nepal & Butan Bhutan,0.720246,South Asia,Lower middle income,Nepal & Butan
Nepal,26.87591,South Asia,Low income,Nepal & Butan Nepal,26.87591,South Asia,Low income,Nepal & Butan
Pakistan,170.043918,South Asia,Lower middle income,Pakistan Pakistan,170.043918,South Asia,Lower middle income,Pakistan & Afghanistan
Sao Tome and Principe,0.17088,Sub-Saharan Africa,Lower middle income,Central Africa Sao Tome and Principe,0.17088,Sub-Saharan Africa,Lower middle income,Central Africa
Comoros,0.698695,Sub-Saharan Africa,Low income,Central Africa Comoros,0.698695,Sub-Saharan Africa,Low income,Central Africa
Equatorial Guinea,0.72871,Sub-Saharan Africa,High income: nonOECD,Central Africa Equatorial Guinea,0.72871,Sub-Saharan Africa,High income: nonOECD,Central Africa
......
...@@ -6,10 +6,10 @@ PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2015 ...@@ -6,10 +6,10 @@ PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2015
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2020,31 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2020,31
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2025,23 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2025,23
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2030,33 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2030,33
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2035,125 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2035,40
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2040,221 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2040,45
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2045,166 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2045,40
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2050,61 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2050,30
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2055,25 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2055,25
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2060,24 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2060,24
PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2065,23 PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2065,23
...@@ -23,21 +23,21 @@ PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2100 ...@@ -23,21 +23,21 @@ PLUM,BAU,World,Agricultural Demand|Bioenergy|1st generation,million t DM/yr,2100
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2000,0 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2000,0
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2005,0 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2005,0
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2010,0 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2010,0
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2015,45 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2015,90
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2020,114 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2020,230
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2025,249 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2025,500
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2030,509 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2030,1000
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2035,856 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2035,1700
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2040,1241 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2040,2500
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2045,1659 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2045,2700
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2050,1927 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2050,2900
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2055,1934 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2055,2950
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2060,1797 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2060,2800
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2065,1599 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2065,3000
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2070,1591 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2070,3100
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2075,1798 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2075,3300
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2080,1913 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2080,3700
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2085,1920 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2085,3800
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2090,1962 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2090,3900
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2095,1995 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2095,4000
PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2100,2014 PLUM,BAU,World,Agricultural Demand|Bioenergy|2nd generation,million t DM/yr,2100,4000
...@@ -54,9 +54,6 @@ Switzerland,7.824909,Europe & Central Asia,High income: OECD,Germany Austria & S ...@@ -54,9 +54,6 @@ Switzerland,7.824909,Europe & Central Asia,High income: OECD,Germany Austria & S
Austria,8.363404,Europe & Central Asia,High income: OECD,Germany Austria & Switzerland Austria,8.363404,Europe & Central Asia,High income: OECD,Germany Austria & Switzerland
Germany,81.77693,Europe & Central Asia,High income: OECD,Germany Austria & Switzerland Germany,81.77693,Europe & Central Asia,High income: OECD,Germany Austria & Switzerland
Italy,59.277417,Europe & Central Asia,High income: OECD,Italy Italy,59.277417,Europe & Central Asia,High income: OECD,Italy
Estonia,1.331475,Europe & Central Asia,High income: OECD,Scandinavia
Latvia,2.097555,Europe & Central Asia,High income: nonOECD,Scandinavia
Lithuania,3.097282,Europe & Central Asia,High income: nonOECD,Scandinavia
Georgia,3.926,Europe & Central Asia,Lower middle income,Other former USSR Georgia,3.926,Europe & Central Asia,Lower middle income,Other former USSR
Turkmenistan,5.041995,Europe & Central Asia,Upper middle income,Other former USSR Turkmenistan,5.041995,Europe & Central Asia,Upper middle income,Other former USSR
Kyrgyzstan,5.4479,Europe & Central Asia,Low income,Other former USSR Kyrgyzstan,5.4479,Europe & Central Asia,Low income,Other former USSR
...@@ -66,6 +63,9 @@ Belarus,9.49,Europe & Central Asia,Upper middle income,Other former USSR ...@@ -66,6 +63,9 @@ Belarus,9.49,Europe & Central Asia,Upper middle income,Other former USSR
Kazakhstan,16.321581,Europe & Central Asia,Upper middle income,Other former USSR Kazakhstan,16.321581,Europe & Central Asia,Upper middle income,Other former USSR
Uzbekistan,28.5624,Europe & Central Asia,Lower middle income,Other former USSR Uzbekistan,28.5624,Europe & Central Asia,Lower middle income,Other former USSR
Poland,38.042794,Europe & Central Asia,High income: OECD,Poland Poland,38.042794,Europe & Central Asia,High income: OECD,Poland
Estonia,1.331475,Europe & Central Asia,High income: OECD,Scandinavia
Latvia,2.097555,Europe & Central Asia,High income: nonOECD,Scandinavia
Lithuania,3.097282,Europe & Central Asia,High income: nonOECD,Scandinavia
Russian Federation,142.849449,Europe & Central Asia,High income: nonOECD,Russian Federation Russian Federation,142.849449,Europe & Central Asia,High income: nonOECD,Russian Federation
Greenland,0.056905,Europe & Central Asia,High income: nonOECD,Scandinavia Greenland,0.056905,Europe & Central Asia,High income: nonOECD,Scandinavia
Iceland,0.318041,Europe & Central Asia,High income: OECD,Scandinavia Iceland,0.318041,Europe & Central Asia,High income: OECD,Scandinavia
...@@ -137,14 +137,14 @@ Libya,6.265697,Middle East & North Africa,Upper middle income,North Africa other ...@@ -137,14 +137,14 @@ Libya,6.265697,Middle East & North Africa,Upper middle income,North Africa other
Tunisia,10.5471,Middle East & North Africa,Upper middle income,North Africa other Tunisia,10.5471,Middle East & North Africa,Upper middle income,North Africa other
Canada,34.005274,North America,High income: OECD,Canada Canada,34.005274,North America,High income: OECD,Canada
United States of America,309.346863,North America,High income: OECD,United States of America United States of America,309.346863,North America,High income: OECD,United States of America
Afghanistan,27.962207,South Asia,Low income,Afghanistan Afghanistan,27.962207,South Asia,Low income,Pakistan & Afghanistan
Bangladesh,151.616777,South Asia,Low income,Bangladesh Bangladesh,151.616777,South Asia,Low income,Bangladesh
Maldives,0.367,South Asia,Upper middle income,India & Sri Lanka Maldives,0.367,South Asia,Upper middle income,India & Sri Lanka
Sri Lanka,20.118,South Asia,Lower middle income,India & Sri Lanka Sri Lanka,20.118,South Asia,Lower middle income,India & Sri Lanka
India,1230.984504,South Asia,Lower middle income,India & Sri Lanka India,1230.984504,South Asia,Lower middle income,India & Sri Lanka
Bhutan,0.720246,South Asia,Lower middle income,Nepal & Butan Bhutan,0.720246,South Asia,Lower middle income,Nepal & Butan
Nepal,26.87591,South Asia,Low income,Nepal & Butan Nepal,26.87591,South Asia,Low income,Nepal & Butan
Pakistan,170.043918,South Asia,Lower middle income,Pakistan Pakistan,170.043918,South Asia,Lower middle income,Pakistan & Afghanistan
Sao Tome and Principe,0.17088,Sub-Saharan Africa,Lower middle income,Central Africa Sao Tome and Principe,0.17088,Sub-Saharan Africa,Lower middle income,Central Africa
Comoros,0.698695,Sub-Saharan Africa,Low income,Central Africa Comoros,0.698695,Sub-Saharan Africa,Low income,Central Africa
Equatorial Guinea,0.72871,Sub-Saharan Africa,High income: nonOECD,Central Africa Equatorial Guinea,0.72871,Sub-Saharan Africa,High income: nonOECD,Central Africa
......
...@@ -40169,3 +40169,312 @@ FPU,Year,Value ...@@ -40169,3 +40169,312 @@ FPU,Year,Value
307,2099,0.161867397257906 307,2099,0.161867397257906
308,2099,0.398715070512395 308,2099,0.398715070512395
309,2099,0.197570261548918 309,2099,0.197570261548918
1,2100,1.88687808718898e-05
2,2100,0.206564808367889
3,2100,0.0444486195702849
4,2100,0.174522488202001
5,2100,0.030832672264296
6,2100,0.0172927181433096
7,2100,0.188520490030896
8,2100,0.575141081831689
9,2100,1.0205137597597
10,2100,0.518566466179873
11,2100,0.130999641650533
12,2100,0.340730698635411
13,2100,0.81978929275963
14,2100,5.00678887062895
15,2100,0.00124871744796451
16,2100,0.522774953504268
17,2100,0.189367675047881
18,2100,0.852362059561678
19,2100,1.17846341796511
20,2100,0.301327849470972
21,2100,0.196070608324439
22,2100,0.969064405245717
23,2100,0.387708748146636
24,2100,0.344043591744082
25,2100,0.492618069304399
26,2100,1.45981875338862
27,2100,0.441474804935297
28,2100,0.223270617252638
29,2100,0.413291826451143
30,2100,0.29786722346832
31,2100,4.2104586123005
32,2100,0.0260551298606515
33,2100,0.0777100088299107
34,2100,2.39660865380847
35,2100,4.0583820003659
36,2100,3.35601219902512
37,2100,2.02853658288739
38,2100,1.0692593687607
39,2100,0.811520508327249
40,2100,1.50173337486922
41,2100,1.90766812824895
42,2100,1.12747679453582
43,2100,0.0647257746695686
44,2100,0.0583266040698618
45,2100,0.111804107461239
46,2100,0.144288611208399
47,2100,0.0530587903387634
48,2100,4.10370701947404
49,2100,0.188448647138089
50,2100,0.0582723738563289
51,2100,1.22874230841314
52,2100,2.93192604093929
53,2100,0.695978334622902
54,2100,0.0249364984223348
55,2100,0.450945873217812
56,2100,0.218866732235832
57,2100,0.195051710119699
58,2100,0.294330573666912
59,2100,5.76871990434483
60,2100,0.220711942517482
61,2100,0.91591994232482
62,2100,0.396192035030396
63,2100,3.06509091547372
64,2100,0.405101207798907
65,2100,0.505266945437654
66,2100,0.00992006713931914
67,2100,0.208551598242593
68,2100,0.215424445826102
69,2100,1.9002733364841
70,2100,0.372050918184414
71,2100,0.665764873984699
72,2100,1.0161849897122
73,2100,5.71460464608435
74,2100,2.79503683440271
75,2100,1.09163540422014
76,2100,0.0182346573276391
77,2100,0.456661561411519
78,2100,0.146857047941921
79,2100,0.19222879500802
80,2100,0.087919844489079
81,2100,0.755920918250922
82,2100,2.80171273822498
83,2100,0.848005872593774
84,2100,0.219223202006617
85,2100,2.70269047454531
86,2100,0.00401615417695211
87,2100,7.69155150422694
88,2100,4.07639167479766
89,2100,0.200932409578577
90,2100,1.00364885592371
91,2100,1.95848374654209
92,2100,8.74411912379401
93,2100,5.14052913727528
94,2100,4.26998119094719
95,2100,0.869467002916736
96,2100,1.93313208260406
97,2100,12.1551707871727
98,2100,0.22316646369643
99,2100,0.788764127332627
100,2100,3.31149561509301
101,2100,0.760893872760446
102,2100,0.00850839679594628
103,2100,3.98330441678218
104,2100,0.550945106934179
105,2100,3.10615639804968
106,2100,0.0696426752254089
107,2100,0.0722311890914877
108,2100,0.0682309198516009
109,2100,4.36753030527325
110,2100,0.556735196441874
111,2100,0.196704295256495
112,2100,0.100620698292914
113,2100,0.148551942655786
114,2100,0.621604885033577
115,2100,0.0740267472624225
116,2100,0.563702275394462
117,2100,0.424618898312663
118,2100,0.0089230343314739
119,2100,0.422180694865574
120,2100,0.377084798651481
121,2100,1.11943255017786
122,2100,0.224139095415239
123,2100,1.13554549255673
124,2100,0.357159893871914
125,2100,0.116184128922297
126,2100,1.86096746614714
127,2100,4.2855853521794
128,2100,3.02224515774287
129,2100,0.0161053505180462
130,2100,1.40701724931705
131,2100,3.19310560005033
132,2100,5.93672335216098
133,2100,1.9934832528491
134,2100,1.31253391709084
135,2100,0.320918039053837
136,2100,0.558007632293929
137,2100,0.124657363136066
138,2100,0.580127622048167
139,2100,0.30075481475069
140,2100,0.103963973702776
141,2100,0.144656081845824
142,2100,0.0394580503343605
143,2100,2.03896248506521
144,2100,2.98033020493487
145,2100,0.125000322252163
146,2100,12.5786998826776
147,2100,0.317466083461795
148,2100,2.82240541303679
149,2100,5.84972310785034
150,2100,1.12509265054223
151,2100,1.11447347819643
152,2100,1.02510241014658
153,2100,0.16629325689183
154,2100,0.28955199037952
155,2100,0.245511349716112
156,2100,0.0387102549053111
157,2100,0.118058659936509
158,2100,3.14872937379869
159,2100,0.0936867571260809
160,2100,0.98024845947532
161,2100,0.0294072220344788
162,2100,2.24127008432242
163,2100,0.887617108222912
164,2100,0.0131586534947701
165,2100,0.606599566453838
166,2100,1.20432724823378
167,2100,0.202035974823389
168,2100,1.36704228365352
169,2100,0.0351727882034538
170,2100,2.00470439078262
171,2100,0.171218394389143
172,2100,0.0211956352932248
173,2100,0.887777138465992
174,2100,0.309727491222247
175,2100,1.44071878225119
176,2100,0.229319051083579
177,2100,2.64617223709405
178,2100,4.68903883078875
179,2100,0.446514705583743
180,2100,1.48769058281403
181,2100,3.5085026328575
182,2100,0.597609611350083
183,2100,0.129615886053671
184,2100,0.291893209739555
185,2100,2.67745695296253
186,2100,0.244853730715931
187,2100,0.882015727239832
188,2100,0.835957145525526
189,2100,0.584480748305729
190,2100,0.374933550144377
191,2100,0.81875996198869
192,2100,0.390262696834782
193,2100,0.42246322590654
194,2100,5.7965001355891
195,2100,0.317598370433575
196,2100,0.307915814927822
197,2100,0.0114179773489465
198,2100,0.0426001814130501
199,2100,0.0868389024001388
200,2100,0.167974581339234
201,2100,0.0235582382725852
202,2100,0.124150008580187
203,2100,1.70757005507496
204,2100,15.78236607041
205,2100,1.37191132909868
206,2100,9.28004865018505
207,2100,0.820646334246931
208,2100,0.477716656074108
209,2100,0.432720058490304
210,2100,0.206383337424882
211,2100,1.0866297537832
212,2100,6.43831338405113
213,2100,1.73053996916743
214,2100,0.168224487046245
215,2100,1.62177137951359
216,2100,0.821070508778803
217,2100,0.39639324865675
218,2100,0.213552505244479
219,2100,2.97219282844492
220,2100,0.843503358561428
221,2100,0.328211755214703
222,2100,0.17605330332708
223,2100,1.1069043794173
224,2100,0.21612240455579
225,2100,1.20577492524808
226,2100,1.25291219222737
227,2100,0.200468749273568
228,2100,0.780454671720967
229,2100,0.106299340147643
230,2100,0.169379075578263
231,2100,1.83722166799052
232,2100,0.369450444717586
233,2100,1.18527965247631
234,2100,0.854136994448481
235,2100,3.84873594390002
236,2100,0.735046560642303
237,2100,0.136281480070954
238,2100,0.0413730341306859
239,2100,0.255527432230359
240,2100,0.147967382299043
241,2100,0.0292073392551373
242,2100,1.26825856954292
243,2100,0.321247202948207
244,2100,0.0485922709822262
245,2100,3.31187047969279
246,2100,0.978121764652315
247,2100,2.31946069830155
248,2100,1.63554747949217
249,2100,1.62674657825119
250,2100,0.148847691296396
251,2100,0.191906322492287
252,2100,0.163661165563099
253,2100,0.111012678244151
254,2100,0.180439168732846
255,2100,0.401822217529116
256,2100,0.59604340145205
257,2100,0.367647576531454
258,2100,0.46186141538945
259,2100,2.81616635550927
260,2100,2.80417958429488
261,2100,0.571035745688278
262,2100,0.192959470989173
263,2100,0.143823357043626
264,2100,1.29683103004572
265,2100,0.219663890987213
266,2100,1.11320642325646
267,2100,0.28657518663158
268,2100,0.654926170169006
269,2100,2.30867047360834
270,2100,0.0334534515545215
271,2100,0.0056169209278778
272,2100,0.172145810711299
273,2100,4.41872451874951
274,2100,0.409619658019437
275,2100,0.0359870281607755
276,2100,0.310719558172423
277,2100,5.38563572439637
278,2100,2.17224025123187
279,2100,11.5301647254202
280,2100,4.38766390518703
281,2100,18.9189891972046
282,2100,0.0341369833784171
283,2100,0.514444477284599
284,2100,0.279895664211153
285,2100,4.05473946462735
286,2100,13.5828679154583
287,2100,10.7211283306124
288,2100,12.2894399501215
289,2100,3.09632456176877
290,2100,5.63209184040729
291,2100,1.70516409765219
292,2100,14.7788975165167
293,2100,7.56016000240061
294,2100,2.05425777406847
295,2100,0.03664298461063
296,2100,4.01162510614813
297,2100,3.09453219841089
298,2100,8.98950905029051
299,2100,0.811757224664589
300,2100,0.762723579194691
301,2100,0.88460226088979
302,2100,4.80506116481229
303,2100,10.1391146961203
304,2100,0.381055037625629
305,2100,1.33972262755319
306,2100,1.91011800912111
307,2100,0.161867397257906
308,2100,0.398715070512395
309,2100,0.197570261548918
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