Global25 automated nMonte for South/Central Asian members

**Kapisa** · 01-24-2023, 08:32 PM

Originally Posted by Kaazi

Captures good diversity of the West Himalaya as a whole. Difficult to differentiate any of them; they all look similar to each other on a group basis.

Anyways, do you have any samples/coordinates that could be added (unscaled required) to David's spreadsheet? He adds private real (not simulated) coordinates as well if permitted to do so; conditions are that the coords must be of a person representing only 1 ethnicity, caste or tribe (unadmixed/"pure").

Anyone else who wants to add their personal coordinates to David's spreadsheet as well can send their coords to me; both scaled and unscaled coordinates are required.

most of them are Saidu Sharif like population. I wouldn't be surprised if ancient buddhist individuals from Taxila and Ambaran, Akhnoor were similar to them.
Attachment 53597

Sample	Fit	Saidu Sharif H	Barikot H
dogra (Kapisa)	2.14	100	0
Salaria Rajput-HW-sim (Kapisa)	0.88	100	0
kayani scaled (KIANI)	2.44	100	0
Khakha Rajput Kashmir AVG (raasnokh)	1.31	99	1
Jarral Rajput Kashmir AVG (raasnokh)	1.85	99	1
Average (Potohar Brahmin)	1.34	97	3
Average (Kashmiri Pakistan)	0.94	97	3
Average (Kashmiri Pandit)	1.63	95	5
Janjua-R2a-HW-sim (Kapisa)	2.22	95	5
Jammu Rajput-HW-sim (Kapisa)	1.78	95	5
Average (Potohar Rajput)	1.84	90	10
Awan Average (Protein)	1.49	81	19
Kapisa Mom scaled (Kapisa)	2.30	78	22
Kapisa scaled (Kapisa)	1.82	72	28
Janjua Jehlum-HW-sim (Kapisa)	0.90	58	42
Average (Kohistani)	0.81	52	48
Chakwal-Janjua-HW-sim (raasnokh)	1.71	51	49
Kapisa dad scaled (Kapisa)	2.00	50	50
Kapisa Sister (Kapisa)	2.97	50	50

**Abceff** · 01-25-2023, 12:07 AM

Originally Posted by surasena

Bengali Muslim with supposed West Asian ancestry.
https://anthrogenica.com/showthread....l=1#post907102

Can someone check the veracity with better models?

Target: scaled
Distance: 3.5084% / 0.03508357
49.0 AASI
24.2 Iran_N
22.6 Yamnaya
4.2 CHN_Boshan_N

Target: Bengali_Bangladesh
Distance: 2.8966% / 0.02896600
49.8 AASI
23.2 Iran_N
21.0 Yamnaya
6.0 CHN_Boshan_N

almost identical, he has no west asian

**Aben Aboo** · 01-25-2023, 12:45 AM

Originally Posted by Abceff

Target: scaled
Distance: 3.5084% / 0.03508357
49.0 AASI
24.2 Iran_N
22.6 Yamnaya
4.2 CHN_Boshan_N

Target: Bengali_Bangladesh
Distance: 2.8966% / 0.02896600
49.8 AASI
23.2 Iran_N
21.0 Yamnaya
6.0 CHN_Boshan_N

almost identical, he has no west asian

Iran_N is West Asian

**Bobthebuilder** · 01-25-2023, 06:27 PM

Originally Posted by Kapisa

can you also post where these individuals are from specifically, what districts of JnK?

I gotta get better at labeling. The original I had labeled really well but then on the PCA couldn't make out, so I shorten.

JnK AVG.png

Mughals = Mirpur/Punch
Sudhans = Mirpur/Punch
Khakhas = Punch
Narmas = Punch
Jarrals = Rajouri
Jammu Rajputs = Jammu
Pahari Dar = Pahari named Dar
Kashmiri Pathan = Valley
Koshur me = Valley
Kashmiri muslim avg = Valley
Kashmiri Pandit = Valley
Kashmiri Sardar = Valley
AF Sri = Valley

**Kaazi** · 01-26-2023, 07:19 AM

https://www.reddit.com/r/SouthAsianA...t=share_button

Balija Naidu sample scores like Velamas Average and is slightly off the IVCp cline (4025 like, SISBA3) IMO? 4% less IranN than SISBA3.

Code:

Balija_Naidu_scaled,0.045529,-0.084289,-0.168196,0.106591,-0.084323,0.062193,-0.00188,0.016615,0.044177,0.026242,-0.00747,-0.002398,-0.004162,0.00234,-0.007736,0.004375,0.004042,0.004561,-0.002388,0.002626,0.016845,0.002844,0.002218,0.003976,-0.00455
Balija_Naidu_unscaled,0.004,-0.0083,-0.0446,0.033,-0.0274,0.0223,-0.0008,0.0072,0.0216,0.0144,-0.0046,-0.0016,-0.0028,0.0017,-0.0057,0.0033,0.0031,0.0036,-0.0019,0.0021,0.0135,0.0023,0.0018,0.0033,-0.0038

Her harappaworld scores
https://anthrogenica.com/showthread....l=1#post846868

Sample	Fit	AASI	Iran N	EHG	WSHG	Amerindian N	Africa N	Iberomaurusian EN	WHG	Sino-Tibetan MN	ANF	Levant N
Komati AVG(8) (kapu2329)	1.99	50.6	40.2	7.6	1.6	0	0	0	0	0	0	0
Telugu-IVCp (Kaazi)	2.08	50.6	41.4	5.6	2.4	0	0	0	0	0	0	0
HG04025.SG (Telugu GBR)	2.23	49.4	42.6	4	2.8	1	0	0.2	0	0	0	0
Balija Naidu scaled (Kaazi)	2.60	44.8	41.4	0	7.8	0	0	0	3.2	1.2	1	0.6
Average (Velamas)	1.50	44.4	42	7.6	2.8	0	0	0	0	0	3.2	0
S8728.E1.L1 (Shahr I Sokhta BA3)	2.62	44.2	45.4	2.6	6.6	0.6	0.6	0	0	0	0	0
IRN Shahr I Sokhta BA I8728 new (Kaazi)	2.44	43.6	45	0	7.6	0.8	0.6	0	2.4	0	0	0
Kush AGUser (Reddy)	2.18	42.2	44	6.6	0	1.8	0	0	2.2	0	3.2	0
tipirneni AGUser (Andhra Pradesh Kamma)	1.93	41.4	43.8	0	7	0	0	0.4	3.8	1	2.6	0

The sample (4025 & similar Telugu GBR) which we were taking as a IVCp base for lower IranN South Asians appear breakdown-wise closer to the Telugu Komati people average.

Originally Posted by Bobthebuilder

I gotta get better at labeling. The original I had labeled really well but then on the PCA couldn't make out, so I shorten.

JnK AVG.png

Mughals = Mirpur/Punch
Sudhans = Mirpur/Punch
Khakhas = Punch
Narmas = Punch
Jarrals = Rajouri
Jammu Rajputs = Jammu
Pahari Dar = Pahari named Dar
Kashmiri Pathan = Valley
Koshur me = Valley
Kashmiri muslim avg = Valley
Kashmiri Pandit = Valley
Kashmiri Sardar = Valley
AF Sri = Valley

Do you have this Jammu Rajput coordinates? What's his clan?

**Bobthebuilder** · 01-26-2023, 07:55 PM

Originally Posted by Kaazi

https://www.reddit.com/r/SouthAsianA...t=share_button

Balija Naidu sample scores like Velamas Average and is slightly off the IVCp cline (4025 like, SISBA3) IMO? 4% less IranN than SISBA3.

Code:

Balija_Naidu_scaled,0.045529,-0.084289,-0.168196,0.106591,-0.084323,0.062193,-0.00188,0.016615,0.044177,0.026242,-0.00747,-0.002398,-0.004162,0.00234,-0.007736,0.004375,0.004042,0.004561,-0.002388,0.002626,0.016845,0.002844,0.002218,0.003976,-0.00455
Balija_Naidu_unscaled,0.004,-0.0083,-0.0446,0.033,-0.0274,0.0223,-0.0008,0.0072,0.0216,0.0144,-0.0046,-0.0016,-0.0028,0.0017,-0.0057,0.0033,0.0031,0.0036,-0.0019,0.0021,0.0135,0.0023,0.0018,0.0033,-0.0038

Her harappaworld scores
https://anthrogenica.com/showthread....l=1#post846868

Sample	Fit	AASI	Iran N	EHG	WSHG	Amerindian N	Africa N	Iberomaurusian EN	WHG	Sino-Tibetan MN	ANF	Levant N
Komati AVG(8) (kapu2329)	1.99	50.6	40.2	7.6	1.6	0	0	0	0	0	0	0
Telugu-IVCp (Kaazi)	2.08	50.6	41.4	5.6	2.4	0	0	0	0	0	0	0
HG04025.SG (Telugu GBR)	2.23	49.4	42.6	4	2.8	1	0	0.2	0	0	0	0
Balija Naidu scaled (Kaazi)	2.60	44.8	41.4	0	7.8	0	0	0	3.2	1.2	1	0.6
Average (Velamas)	1.50	44.4	42	7.6	2.8	0	0	0	0	0	3.2	0
S8728.E1.L1 (Shahr I Sokhta BA3)	2.62	44.2	45.4	2.6	6.6	0.6	0.6	0	0	0	0	0
IRN Shahr I Sokhta BA I8728 new (Kaazi)	2.44	43.6	45	0	7.6	0.8	0.6	0	2.4	0	0	0
Kush AGUser (Reddy)	2.18	42.2	44	6.6	0	1.8	0	0	2.2	0	3.2	0
tipirneni AGUser (Andhra Pradesh Kamma)	1.93	41.4	43.8	0	7	0	0	0.4	3.8	1	2.6	0

The sample (4025 & similar Telugu GBR) which we were taking as a IVCp base for lower IranN South Asians appear breakdown-wise closer to the Telugu Komati people average.

Do you have this Jammu Rajput coordinates? What's his clan?

Just have sims someone shared and said they were Rajputs that are similar to the other Rajputs didn't give me exact clan/tribe/caste for them.

**Kakaji** · 01-29-2023, 02:40 PM

Originally Posted by Kakaji

Genomelink’s Ancient Admixture
Attachment 53031

This seems to be a K= 7 admixture calculator.

**Kaazi** · 01-30-2023, 04:25 PM

Gujjar from Gujranwala, Punjab, Pakistan (Chechi clan)- both paternally and maternally same clan & same region; Y-DNA: L-M27 (L1a1), mt-DNA: U7

Sample:	Kaazi ► Gujjar Punjabi Pakistan scaled
Fit:	1.51
Results:	IRN Shahr I Sokhta BA3	51
	UZB Dzharkutan1 BA	31
	RUS Srubnaya Alakul MLBA	17.2
	NPL Chokhopani 2700BP	0.8

Will be added in David's spreadsheet as a full Punjabi Gujjar 001 sample.

Punjabi_Gujjar_Gujranwala_Chechi_scaled,0.0665959,-0.0026748,-0.1189065,0.0774231,-0.0760767,0.0487838,0.0026478,0.0052179,-0.0011002,-0.006472,-0.0035469,-0.0006275,-0.0001087,-0.0055256,0.0068965,0.0103097,-0.0071247,0.0010991,-0.0000459,-0.0141168,-0.0012852,-0.0073575,0.0004447,-0.0037791,-0.0002108

Punjabi_Gujjar_Gujranwala_Chechi_unscaled,0.005851 ,-0.000263,-0.03153,0.02397,-0.02472,0.017492,0.001127,0.002261,-0.000538,-0.003551,-0.002184,-0.000419,-0.000073,-0.004015,0.005081,0.007776,-0.005464,0.000868,-0.000037,-0.011288,-0.00103,-0.00595,0.000361,-0.003136,-0.000176

**pegasus** · 01-30-2023, 11:09 PM

Originally Posted by Kaazi

Gujjar from Gujranwala, Punjab, Pakistan (Chechi clan)- both paternally and maternally same clan & same region; Y-DNA: L-M27 (L1a1), mt-DNA: U7

Sample:	Kaazi ► Gujjar Punjabi Pakistan scaled
Fit:	1.51
Results:	IRN Shahr I Sokhta BA3	51
	UZB Dzharkutan1 BA	31
	RUS Srubnaya Alakul MLBA	17.2
	NPL Chokhopani 2700BP	0.8

Will be added in David's spreadsheet as a full Punjabi Gujjar 001 sample.

Punjabi_Gujjar_Gujranwala_Chechi_scaled,0.0665959,-0.0026748,-0.1189065,0.0774231,-0.0760767,0.0487838,0.0026478,0.0052179,-0.0011002,-0.006472,-0.0035469,-0.0006275,-0.0001087,-0.0055256,0.0068965,0.0103097,-0.0071247,0.0010991,-0.0000459,-0.0141168,-0.0012852,-0.0073575,0.0004447,-0.0037791,-0.0002108

Punjabi_Gujjar_Gujranwala_Chechi_unscaled,0.005851 ,-0.000263,-0.03153,0.02397,-0.02472,0.017492,0.001127,0.002261,-0.000538,-0.003551,-0.002184,-0.000419,-0.000073,-0.004015,0.005081,0.007776,-0.005464,0.000868,-0.000037,-0.011288,-0.00103,-0.00595,0.000361,-0.003136,-0.000176

sample: Gujjar Gujranwala Chechi scaled
distance: 1.1555
CG_IVCp: 56.5
Dzharkutan1_BA: 26.5
Srubnaya_Alakul_MLBA: 14.5
KAZ_Botai: 2.5

**Kakaji** · 01-31-2023, 09:30 AM

Code:

South-Indian,Iranian,NW-Indian,South-Caucasian,Munda,Pamirian,Meso-Amerind,Central-African,Indo-Chinese,East-Asian,North-Amerind,Kushitic,North-Iberian,East-Iberian,Tibeto-Burman,North-African,North-Caucasian,Paleo-Balkan,Turkic-Altai,Proto-Austronesian,Nilotic,East-Med,Omotic,Arabic,East-Euro,Andean,NE-Asian,Volgan,Mongolian,Siberian,North-Sea-Germanic,Celtic,West-African,West-Finnic,Uralic,Sahelian,East-African,Amuro-Manchurian,Scando-Germanic,South-African,Amazonian,Baltic,Malay,South-Chinese,Papuan,West-Med,Central-Med
IVC:I11456,28.63,21.89,10.77,5.04,11.81,14.09,0,1.43,0,0,0,0,0,0,1.85,0,1.15,0,0,0,0,0,1.29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.04,0,0
IVC:I11459,28.67,15.91,16.22,10.57,13.48,5.24,0,0,0,0,0.07,0,0,0,0,0,7.79,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.53,0.53,0,0,0,0.01,0,0
IVC:I11466,26.86,23.47,14.43,10.89,9.85,5.31,4.7,2.77,1.46,0.22,0.02,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
IVC:I8726,21.91,21.14,14.72,8.58,2.51,12.85,0,0,0,0,0,0,0,0,0,0,16.51,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.78,0,0,0,0,0,0,0,0,0,0,0,0,0,0
IVC:I8728,38.07,7.44,15.26,6.36,19.23,7.17,0,0,0,0,0,0,0,0,0,0,2.32,0,0,0,0,0,1.19,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.45,1.02,0,0,0,1.48,0,0
Steppe:I0939,0,0,0,0,0,14.64,0,0,0,0,0,0,3.59,0,0,0,3.55,0,0,0,0,0,0.01,0,14.45,0,0,0,0,0,19.56,25.25,0,13.61,0,0,0,0,4.95,0,0.4,0,0,0,0,0,0
Steppe:I0942,0,8.15,0,0,0,8.53,0,0,0,0,0,0,0,8.29,0,0,9.83,4.62,0,0,0,0,0,0,19.91,0,0,0,0,0,5.88,0,0,3.45,0.96,0,0,0,10.92,0,0,19.47,0,0,0,0,0
Steppe:I0943,0,1.55,0,0,0,4.98,0,0,0,0,0,0,0.44,0,0,0,6.04,1.74,0,0,0,0,0,0,16.03,0.4,0,1.31,0,0,17.11,18.78,0,9.84,1.74,0,0,0,11.55,0.31,0,6.76,0,0,0,0,1.42
Steppe:I0984,0,0,0.26,0.85,0,7.77,0,0,0,0,0,0,3.96,0,0,0,9.92,0,0,0.24,0,0,0,0,19.4,0,0,0,0,0,8.82,21.57,0,13.02,0,0,0,0,10.06,0,0,3.3,0,0,0.83,0,0
Steppe:I0986,0,0,1.97,6.15,0,5.06,0.6,0,0,0,0,0,0,0,0,0,16.44,4.91,0,0,0,0,0,0,0,0,0,0,0,0,0,22.36,0,19.8,0,0,0,0,14.54,0,0,0,0,0,4.38,0,3.8

Andaman.SG,15.87,0,0.49,0,31.11,0,0,0.74,5.49,0,0,2.46,0,0,5.11,0,0,0,0.37,0,1.39,0,0,0,0,0,0,0,0,0,0,0,0,3.48,2.25,0,1.46,2.46,0,0,1.69,0,16.54,0,8.76,0,0.34
BMAC:I10410,6.78,26.52,9.07,19.94,0,12.57,0,2.45,0,0,0,0,0,0,0,0,15.3,0.93,0,0,0,2.07,0.24,0.17,0,0,0,0,0,0,0,0,0,0,0,1.01,2.93,0,0,0,0.01,0,0,0,0,0,0
BMAC:I2116,8.93,29.13,10.27,22.27,0,5.18,0,0,0,0,0,0,0,0,0,0,22.05,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.81,0.37,0,0,0,0,0,0,0,0,0,0
BMAC:I7492,7.26,30.19,4.57,23.79,0,11.08,0,0,0,0,0,0,0,0,0,0,17.96,0,0,0,0,1.53,0,1.41,0,0,0,0,0,0,0,0,1.45,0,0,0,0,0,0,0,0,0,0,0,0.75,0,0
CHG:KK1.SG,0.25,3.42,2.07,50.02,0,2.18,0,0,0,0,0,0,0,0,0,0,40.64,0,0,0,1.42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Steppe:I1290,7.51,46.27,5.03,13.3,0,7.56,0,0.9,0,0,0,0,0,0,0,0,13.6,0,0,0,0,0,1.47,0,0,0,0,0,0,0,0,0,4.3,0,0,0,0,0,0,0.07,0,0,0,0,0,0,0
Steppe:I0989,0,0,0,0,0,4.3,0,0,0,0,0.15,0,3.37,2.2,0,0,16.93,0,0,0,0,0,0,0,20,0,0,0.94,0,0,4.27,13.87,1.12,0,2.64,0.21,0,0,11.94,0.19,1.65,16.22,0,0,0,0,0
Steppe:I1008,0,0.19,1.36,0.32,0,6.81,0,0,0,0,1.53,0,0,3.94,0,0,13.67,3.97,0,0,0,0,0,0,5.14,0,0,4.64,0,0,18.5,17.49,0,8.41,0.08,0,0,0,11.48,0,0,2.47,0,0,0,0,0
Steppe:I1011,0,1.99,0.43,1.97,0,11.1,0,0,0,0,0,0,1.16,0,0,0,4.19,1.91,0,0,0,0,0.69,0,15.3,0,0,4.3,0,0,24.32,15.13,0,5.6,0,0,0.09,0,3.03,0.28,0,6.45,0,0,0,0,2.06
Steppe:I1012,0,0,1.09,0,0,4.95,0,0,0,0,1.93,0,0,5.99,0,0,7.25,0,0,0,0,0,0,0,15.02,0,0,2.69,0,0,0,25.32,0,15.26,0,0,0,0,18.02,0.07,0,1.2,0,0,0,0.14,1.06
Steppe:I1018,0,0,0,0,0,6.05,0,0,0,0,0,0,0,7.29,0,0,10.41,2.57,0,0,0,0,0,0,8.26,0,0,2.04,0,0,11.1,18.79,0,7.63,6.07,0,0,0,8.32,0,0,11.46,0,0,0,0,0
Steppe:I1019,0,2.56,3.16,0,0,1.44,0,0,0,0,0,0,2.71,1.3,0,0,13.84,0,0,0,0,0,0,2.13,0.19,0,0,6.73,0,0,18.27,16.21,0,2.96,0,0.55,0,0,18.89,0,0,6.29,0,0,1.58,0,1.18
Steppe:I1022,0,0,5.33,0,0,0,1.26,0,0,0,0,0,0,10.2,0,0,5.46,3.9,0,0,0,0,0,0,0,0,0,5.44,0,0,7.23,17.13,0,9.71,0.78,0,0,0,20.03,0,0,13.53,0,0,0,0,0
Steppe:I1024,0.51,0.57,0.04,0,0,9.84,0,0,0,0,0,0,2.81,4.87,0,0.36,6.87,2.26,0,0,0,0,0,0,12.66,0,0,7.59,0,0,11.37,12.86,0,10.02,0,0,0,0,3.21,0,0,8.41,0,0,0,3.94,1.79
Steppe:I1027,0,0,1.72,0,0,12.55,0,0,0,0,0,0,0,4.67,0,0,7.55,0.74,0,0,0,0,0,0,17.17,0,0,1.4,0,0,16.2,18.97,0,3.4,1.54,0,0,0,4.83,0,0,9.27,0,0,0,0,0
Steppe:I1029,0,0,4.94,0,0,7.58,0,0.74,0,0,1.77,0,0,0,0,0,4.37,0,0,0,0,0,0,0,12.69,0,0,4.24,0,0,16.86,9.45,0,6.38,0,0,0,0,18.76,0,0,12.21,0,0,0.02,0,0
Steppe:I1053,0,0,0,0,0,5.54,0,0,0,0,0,0,0,5.65,0,0,9.41,0,0,0,0,0,0,0,17.44,0,0,5.65,0,0,9.27,21.21,0,7.54,1.08,0,0,0,5.74,0,0,11.31,0,0,0,0,0.15
Steppe:I1055,0,2.88,2.19,0,0,11.32,0,0,0,0,0,0,4.78,0,0,0,1.94,1.93,0,0,0,0,0,0,11.34,0,0,0,0,0,10.51,25.47,0,5.25,0,0,0,0,6.51,0,0,12.81,0,0,0.11,0,2.94
Steppe:I1060,0,0,2,0,0,5.53,0,0,0,0,0.4,0,3.26,0,0,0,10.8,2.92,0,0,0,0,0,0,18.1,0,0,3.34,0,0,8.96,19.34,0,0,0,0,0,0,7.36,2.65,0.75,10.99,0,0,0,0,3.59
Steppe:I1061,0,0,5.51,0,0,12.38,0,0.8,0,0,0,0,0,0,0,0,5.08,0,0,0,0,0,0,0,11.87,1.04,0,0,0,0,11.56,19.48,0,0,5.51,0,0,0,6.89,0,0,9.36,0,0,0,0,10.53
Steppe:I1062,0,0,0,2.09,0,11.84,0.29,0.64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.45,0,0,0,0,0,22.21,12.51,0,11.58,0,0,0,0,6.79,2.72,0,12.76,0,0,1.13,0,0
Steppe:I1063,0,6.1,0,0,0,8.56,0.62,0,0,0,1.2,0,0.26,0,0,0,9.4,4.66,0,0,0,0.07,0,0,10.31,0,0,3.44,0,0,14.31,19.68,0,0,2.86,0.38,0,0,11.55,0,0,5.34,0,0,0,0,1.25
Steppe:I1064,0,0,1.5,0,0,7.24,1.56,0,0,0,0,0,5.45,2.28,0,0,13.16,0,0,0,0,0,0,0,16.78,0,0,1.77,0,0,19.34,16.27,0,4.39,0.62,0.32,0,0,8.34,0,0,0.99,0,0,0,0,0
Steppe:I1065,0,0,1.67,0.12,0,16.33,0,0,0,0,0,1.53,2.7,0,0,0,16.58,0,0,0,0,0,0,0,12.34,0,0,0,0,0,27.69,6.73,0,6.64,0.76,0,1.13,0,0,0,1.03,0,0,0,0,0,4.74
Steppe:I1082,0,0,4.85,0,0,10.11,0,0,0,0,0,0,0,0,0,0,9.57,0,0,0,0,0,2.98,0,9.35,0.08,0,4.9,0,0,1.28,19.2,0,12.95,1.09,0,0,0,14.42,0,0,9.21,0,0,0,0,0
Steppe:I1084,0,0,0,0,0,11.02,0,0,0,0,0,0,0.03,0,0,0,10.47,0,0,0,0,0,0.07,0,34.33,0,0,0.89,0,0,15.05,7.59,0,0,0.36,0,0.67,0,15.22,0,0,0.75,0,0,0,0,3.55
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Steppe:I1089,0,2.18,2.12,0,0,9.44,0.04,0,0,0,0,0,0,5.4,0,0,5.5,0,0,0,0,0,0,0,22.93,0.06,0,2.66,0,0,15.55,13.18,0,5.33,0.43,0.44,0,0,4.57,0.41,1.32,8.21,0,0,0.23,0,0
Steppe:I1090,0,0,0.09,0,0,8.02,0,0,0,0,0.63,0,0,0,0,0,14.7,0,0,0,0,0,0,0,14.8,0.8,0,0,0,0,19.11,19.74,0,3.89,0.8,0,0,0,10.6,0.81,0,5.99,0,0,0,0,0
Steppe:I7480,0,1.26,1.37,3.98,0,5.89,0,0,0,0,0,0,3.74,1.52,0,0,7.52,0,0,0,0,0,0,0,14.47,0,0,3.62,0,0,10.21,20.67,0.13,11.21,1.26,0,0,0,5.76,0,0.49,6.61,0,0,0.28,0,0
BMAC:I4161,8.29,27.41,8.25,17.09,0,13.23,0.41,0,0,0,0,0,0,0,0,0,25.05,0,0,0,0,0,0,0,0,0.13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.16,0,0,0,0,0,0
BMAC:I4163,8.59,27.8,5.57,13.31,0,10.57,0,0,0,0,0,0,0,0,0,0,31.73,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.08,0.08,0,0,0.54,0,0,0,0,1.72,0,0
BMAC:I4312,11.56,31.9,6.73,18.81,0,5.29,0,0,0,0,0,0,0,0,0,0,24.01,0,0,0,0,1.43,0,0.08,0,0,0,0,0,0,0,0,0,0,0,0.19,0,0,0,0,0,0,0,0,0,0,0
BMAC:I4313,7.53,29.84,7.69,13.01,0,8.55,0,0,0,0,0,0,0,0,0,0,24.7,0,0,0,0.72,7.17,0,0.41,0,0.38,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
BMAC:I7411,2.49,31.28,10.12,17.58,1.41,10.44,0,0,0,0,0,0,0,0,0,0,22.96,0,0,0,0.46,2.74,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.52,0,0,0,0,0,0,0
BMAC:I4157,10.36,27.73,6.86,13.98,0,12.48,2.23,0.52,0,0,0,0,0,0,0,0,17.62,0,0,0,0,5.66,0,0,0,0,0,1.14,0,0,0,0,0,0,0.48,0.41,0,0,0,0,0,0,0,0,0.54,0,0
BMAC:I5604,4.85,32.73,6.07,19.91,0,8.87,0,0,0,0,0,0,0,0,0,0,23.22,0,0,0,0.87,3.48,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
BMAC:I5605,5.1,29.82,2.96,24.43,0,12.93,0,0,4.37,0,0.26,0,0,0,0,0,9.22,0,0,0,0.21,10.7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
BMAC:I11027,2.58,23.92,9.62,30.27,0,11.48,0,0,0,0,0,0,0,0,0,0,18.76,0,0,0,0.44,0,0,1.61,0,0,0,0,0,0,0,0,0,0,0.07,0,0,0,0,0,0,0,0,0,1.26,0,0
BMAC:I1781,5.22,24.39,6.26,23.68,0,14.58,0,0,0,0,0,0,0,0,0,0,18.95,0,0,0,0,1.58,0,0,0,0,0,0,0,2.27,0,0,0.35,0,0.74,0,0.9,0,0,0.58,0,0,0,0,0.5,0,0
BMAC:I1784,10.15,32.99,8.5,15.81,0,11.31,0,0.47,0,0,0,0,0,0,0,0,19.16,0,0,0,0,0,0.04,0,0,0,0,0,0,0,0,0,0.99,0,0,0.35,0,0,0,0.22,0,0,0,0,0,0,0
BMAC:I1790,5.3,36.08,9.8,26.07,0,13.07,0,0,0,0,0,0,0,0,1.3,0,1.76,0,0.49,0,0,3.2,0.38,0,0,0,0,0,0,0,0,0,0,0,0,2.55,0,0,0,0,0,0,0,0,0,0,0
BMAC:I7414,10.5,29.65,10.6,16.29,0,8.23,0,0,0,0,0,0,0,0,0,0,21.42,0,0,0,0.26,1.51,0,0,0,0,0,0,0,0,0,0,1.16,0,0,0,0,0,0,0.37,0,0,0,0,0,0,0
BMAC:I7419,7.98,29.81,7.51,18.62,0,8.62,0,0,0,0,0,0,0,0,0,0,25.95,0,0,0,0,0.6,0,0,0,0,0,0,0,0,0,0,0,0,0,0.12,0.8,0,0,0,0,0,0,0,0,0,0
BMAC:I7420,4.32,23.75,10.44,22.95,0,10.15,0,0,0,0,0,0,0,0,0,0,23.05,0,0,0,0,1.89,0,2.92,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.52,0,0,0,0,0,0,0

Have fun with L-47 coordinates

Thread: Global25 automated nMonte for South/Central Asian members

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