Citation:

PANGAEA.930512

Name: Reconstruction model statistics for Asian samples from the Northern Hemisphere Harmonized Pollen Archive
Published: 2023-05-09
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Neotoma; Northern Hemisphere; paleoecology; pollen; precipitation; Temperature

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Keyword(s):

Neotoma; Northern Hemisphere; paleoecology; pollen; precipitation; Temperature

Project(s):

Polar Terrestrial Environmental Systems @ AWI (AWI_Envi)

Coverage:

Median Latitude: 46.489435 * Median Longitude: 113.877667 * South-bound Latitude: 18.383333 * West-bound Longitude: 45.466667 * North-bound Latitude: 75.333333 * East-bound Longitude: -170.248270

Date/Time Start: 1959-06-17T00:00:00 * Date/Time End: 2011-08-11T00:00:00

Minimum Elevation: -479.0 m * Maximum Elevation: 4620.0 m

Event(s):

11-CH-12A * Latitude: 72.398881 * Longitude: 102.288566 * Date/Time: 2011-08-11T00:00:00 * Elevation: 60.0 m * Location: Taymyr peninsula, northern Siberia * Campaign: (Chatanga2011) * Basis: AWI Arctic Land Expedition * Method/Device: Gravity corer, UWITEC (GCUWI) * Comment: Lake radius: 90 m

ACHIT8 * Latitude: 49.500000 * Longitude: 90.600000 * Date/Time: 1978-06-30T00:00:00 * Elevation Start: 1435.0 m * Elevation End: 2.8 m * Location: Achit-Nur, Mongolia

ACHITNUR (Achit Nur Lake) * Latitude: 49.500000 * Longitude: 90.600000 * Location: Asia

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event		Herzschuh, Ulrike
2	Reference/source	Reference		Herzschuh, Ulrike		Event
3	Identification	ID		Herzschuh, Ulrike		Site
4	Identification	ID		Herzschuh, Ulrike		Dataset
5	Site	Site		Herzschuh, Ulrike
6	LONGITUDE	Longitude		Herzschuh, Ulrike		Geocode
7	LATITUDE	Latitude		Herzschuh, Ulrike		Geocode
8	Continent	Cont		Herzschuh, Ulrike
9	Number	n	#	Herzschuh, Ulrike		modern training sites full dataset
10	Temperature, air, July	T air (7)	°C	Herzschuh, Ulrike		minimum modern T_July full dataset
11	Temperature, air, July	T air (7)	°C	Herzschuh, Ulrike		maximum modern T_July full dataset
12	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		minimum modern T_ann full dataset
13	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		maximum modern T_ann full dataset
14	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		minimum modern P_ann full dataset
15	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		maximum modern P_ann full dataset
16	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component T_July full dataset
17	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted T_July full dataset
18	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP T_July full dataset
19	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	MAT r2 observed vs. predicted T_July full dataset
20	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	MAT RMSEP T_July full dataset
21	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component T_ann full dataset
22	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted T_ann full dataset
23	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP T_ann full dataset
24	Correlation coefficient	R		Herzschuh, Ulrike	Modern analogue technique (MAT)	MAT r2 observed vs. predicted T_ann full dataset
25	Root mean square error	RMS		Herzschuh, Ulrike	Modern analogue technique (MAT)	MAT RMSEP T_ann full dataset
26	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component P_ann full dataset
27	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted P_ann full dataset
28	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP P_ann full dataset
29	Correlation coefficient	R		Herzschuh, Ulrike	Modern analogue technique (MAT)	MAT r2 observed vs. predicted P_ann full dataset
30	Root mean square error	RMS		Herzschuh, Ulrike	Modern analogue technique (MAT)	MAT RMSEP P_ann full dataset
31	Temperature, air, July	T air (7)	°C	Herzschuh, Ulrike		minimum modern T_July after tailoring
32	Temperature, air, July	T air (7)	°C	Herzschuh, Ulrike		maximum modern T_July after tailoring
33	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		minimum modern T_ann after tailoring
34	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		maximum modern T_ann after tailoring
35	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		minimum modern P_ann after tailoring
36	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		maximum modern P_ann after tailoring
37	Number	n	#	Herzschuh, Ulrike		modern training sites T_July-tailored dataset
38	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		minimum modern T_July T_July-tailored dataset
39	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		maximum modern T_July T_July-tailored dataset
40	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		minimum modern P_ann T_July-tailored dataset
41	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		maximum modern P_ann T_July-tailored dataset
42	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component T_July T_July-tailored dataset
43	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted T_July T_July-tailored dataset
44	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP T_July T_July-tailored dataset
45	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component P_ann T_July-tailored dataset
46	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted P_ann T_July-tailored dataset
47	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP P_ann T_July-tailored dataset
48	Number	n	#	Herzschuh, Ulrike		modern training-sites T_ann-tailored dataset
49	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		minimum modern T_ann T_ann-tailored dataset
50	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		maximum modern T_ann T_ann-tailored dataset
51	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		minimum modern P_ann T_ann-tailored dataset
52	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		maximum modern P_ann T_ann-tailored dataset
53	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component T_ann T_ann-tailored dataset
54	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted T_ann T_ann-tailored dataset
55	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP T_ann T_ann-tailored dataset
56	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component P_ann T_ann-tailored dataset
57	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted P_ann T_ann-tailored dataset
58	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP P_ann T_ann-tailored dataset
59	Number	n	#	Herzschuh, Ulrike		modern training-sites P_ann-tailored dataset
60	Temperature, air, July	T air (7)	°C	Herzschuh, Ulrike		minimum modern T_July P_ann-tailored dataset
61	Temperature, air, July	T air (7)	°C	Herzschuh, Ulrike		maximum modern T_July P_ann-tailored dataset
62	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		minimum modern T_ann P_ann-tailored dataset
63	Temperature, air, annual mean	MAAT	°C	Herzschuh, Ulrike		maximum modern T_ann P_ann-tailored dataset
64	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		minimum modern P_ann P_ann-tailored dataset
65	Precipitation, annual total	Precip annual total	mm/a	Herzschuh, Ulrike		maximum modern P_ann P_ann-tailored dataset
66	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component T_July P_ann-tailored dataset
67	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted T_July P_ann-tailored dataset
68	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP T_July P_ann-tailored dataset
69	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component T_ann P_ann-tailored dataset
70	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted T_ann P_ann-tailored dataset
71	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP T_ann P_ann-tailored dataset
72	Factor	Factor		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS component P_ann P_ann-tailored dataset
73	Correlation coefficient	R		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS r2 observed vs. predicted P_ann P_ann-tailored dataset
74	Root mean square error	RMS		Herzschuh, Ulrike	Weighted averaging partial least squares (WA-PLS) regression	WA-PLS RMSEP P_ann P_ann-tailored dataset

License:

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

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

34628 data points

Data

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

1 Event	2 Reference (Event)	3 ID (Site)	4 ID (Dataset)	5 Site	6 Longitude	7 Latitude	8 Cont	9 n [#] (modern training sites full da...)	10 T air (7) [°C] (minimum modern T_July full da...)	11 T air (7) [°C] (maximum modern T_July full da...)	12 MAAT [°C] (minimum modern T_ann full dat...)	13 MAAT [°C] (maximum modern T_ann full dat...)	14 Precip annual total [mm/a] (minimum modern P_ann full dat...)	15 Precip annual total [mm/a] (maximum modern P_ann full dat...)	16 Factor (WA-PLS component T_July full ...)	17 R (WA-PLS r2 observed vs. predic...)	18 RMS (WA-PLS RMSEP T_July full data...)	19 R (MAT r2 observed vs. predicted...)	20 RMS (MAT RMSEP T_July full dataset...)	21 Factor (WA-PLS component T_ann full d...)	22 R (WA-PLS r2 observed vs. predic...)	23 RMS (WA-PLS RMSEP T_ann full datas...)	24 R (MAT r2 observed vs. predicted...)	25 RMS (MAT RMSEP T_ann full dataset,...)	26 Factor (WA-PLS component P_ann full d...)	27 R (WA-PLS r2 observed vs. predic...)	28 RMS (WA-PLS RMSEP P_ann full datas...)	29 R (MAT r2 observed vs. predicted...)	30 RMS (MAT RMSEP P_ann full dataset,...)	31 T air (7) [°C] (minimum modern T_July after t...)	32 T air (7) [°C] (maximum modern T_July after t...)	33 MAAT [°C] (minimum modern T_ann after ta...)	34 MAAT [°C] (maximum modern T_ann after ta...)	35 Precip annual total [mm/a] (minimum modern P_ann after ta...)	36 Precip annual total [mm/a] (maximum modern P_ann after ta...)	37 n [#] (modern training sites T_July-...)	38 MAAT [°C] (minimum modern T_July T_July-...)	39 MAAT [°C] (maximum modern T_July T_July-...)	40 Precip annual total [mm/a] (minimum modern P_ann T_July-t...)	41 Precip annual total [mm/a] (maximum modern P_ann T_July-t...)	42 Factor (WA-PLS component T_July T_Jul...)	43 R (WA-PLS r2 observed vs. predic...)	44 RMS (WA-PLS RMSEP T_July T_July-ta...)	45 Factor (WA-PLS component P_ann T_July...)	46 R (WA-PLS r2 observed vs. predic...)	47 RMS (WA-PLS RMSEP P_ann T_July-tai...)	48 n [#] (modern training-sites T_ann-t...)	49 MAAT [°C] (minimum modern T_ann T_ann-ta...)	50 MAAT [°C] (maximum modern T_ann T_ann-ta...)	51 Precip annual total [mm/a] (minimum modern P_ann T_ann-ta...)	52 Precip annual total [mm/a] (maximum modern P_ann T_ann-ta...)	53 Factor (WA-PLS component T_ann T_ann-...)	54 R (WA-PLS r2 observed vs. predic...)	55 RMS (WA-PLS RMSEP T_ann T_ann-tail...)	56 Factor (WA-PLS component P_ann T_ann-...)	57 R (WA-PLS r2 observed vs. predic...)	58 RMS (WA-PLS RMSEP P_ann T_ann-tail...)	59 n [#] (modern training-sites P_ann-t...)	60 T air (7) [°C] (minimum modern T_July P_ann-t...)	61 T air (7) [°C] (maximum modern T_July P_ann-t...)	62 MAAT [°C] (minimum modern T_ann P_ann-ta...)	63 MAAT [°C] (maximum modern T_ann P_ann-ta...)	64 Precip annual total [mm/a] (minimum modern P_ann P_ann-ta...)	65 Precip annual total [mm/a] (maximum modern P_ann P_ann-ta...)	66 Factor (WA-PLS component T_July P_ann...)	67 R (WA-PLS r2 observed vs. predic...)	68 RMS (WA-PLS RMSEP T_July P_ann-tai...)	69 Factor (WA-PLS component T_ann P_ann-...)	70 R (WA-PLS r2 observed vs. predic...)	71 RMS (WA-PLS RMSEP T_ann P_ann-tail...)	72 Factor (WA-PLS component P_ann P_ann-...)	73 R (WA-PLS r2 observed vs. predic...)	74 RMS (WA-PLS RMSEP P_ann P_ann-tail...)
Adycha_River	Neotoma	11	11	Konus Exposure, Adycha River	135.583333	67.750000	Asia	987	-2.4	20.0	-18.9	0.1	136	1058	2	0.47	2.52	0.68	1.96	1	0.55	2.84	0.63	2.56	1	0.50	97.79	0.63	83.72	7.6	17.0	-14.0	-10.6	226	313	730	7.8	17.0	148	1058	1	0.32	1.82	2	0.57	95.31	383	-14.0	-10.7	148	453	1	0.35	0.89	1	0.30	51.24	395	5.3	18.6	-16.1	-7.5	227	312	2	0.64	2.19	1	0.44	1.44	1	0.08	21.78
AKULININ	Neotoma	19	19	Akulinin Exposure P1282	138.550000	47.116667	Asia	1686	7.6	27.2	-16.1	19.0	196	3486	1	0.58	2.24	0.77	1.66	2	0.80	3.30	0.88	2.60	2	0.86	237.79	0.90	204.03	13.6	17.3	-10.2	-1.2	278	668	353	13.7	17.3	232	2209	1	0.22	0.94	2	0.88	177.95	337	-10.1	-1.2	236	1411	1	0.46	2.10	2	0.48	107.10	732	8.7	26.9	-16.0	13.4	278	666	2	0.71	1.88	2	0.73	2.98	2	0.48	79.36
ALUT	Neotoma	31	31	Alut Lake	152.312778	60.136667	Asia	962	2.0	22.5	-16.1	6.8	136	1411	2	0.50	2.54	0.68	2.05	1	0.75	3.17	0.81	2.83	1	0.80	122.55	0.84	110.48	6.7	16.0	-15.9	-8.2	94	418	596	6.8	15.9	148	1411	2	0.41	1.67	2	0.78	108.39	586	-15.7	-8.4	136	619	1	0.27	1.64	1	0.24	54.84	613	2.0	18.6	-16.1	-3.3	136	412	1	0.54	2.41	1	0.23	1.96	1	0.26	54.96
AMBA	Neotoma	33	33	Amba River Exposure 596	131.816667	43.316667	Asia	1599	11.0	28.5	-10.4	19.0	107	3486	2	0.59	2.06	0.71	1.74	2	0.72	2.85	0.82	2.32	2	0.84	250.89	0.89	209.00	18.4	20.2	2.7	6.3	656	1020	399	18.5	20.1	197	3486	1	0.06	0.40	2	0.86	195.42	517	2.7	6.2	107	2147	1	0.13	0.96	2	0.88	158.08	317	11.0	28.4	-4.8	16.1	659	1016	2	0.67	1.70	2	0.73	1.78	2	0.41	57.25
AMGUEMA1	Neotoma	68	68	Amguema River Valley Exposure 1	178.700000	67.750000	Asia	986	2.0	16.5	-16.1	2.1	109	1058	1	0.40	1.86	0.62	1.49	2	0.47	3.03	0.63	2.55	1	0.24	104.16	0.41	91.72	7.7	11.9	-18.0	-9.6	126	279	447	7.7	11.9	112	1058	1	0.17	0.99	1	0.34	99.65	507	-16.1	-9.7	109	391	1	0.47	1.38	1	0.30	53.43	530	2.0	16.2	-16.1	-2.4	127	278	1	0.48	1.85	2	0.70	1.66	1	0.18	34.33
AMGUEMA2	Neotoma	69	69	Amguema River Valley Exposure 2	178.600000	67.666667	Asia	983	2.0	16.5	-16.1	2.1	109	1058	1	0.40	1.86	0.62	1.49	2	0.47	3.04	0.63	2.55	1	0.24	104.10	0.41	91.86	9.5	13.3	-16.6	-3.0	128	464	558	9.6	13.3	121	1058	1	0.24	0.88	2	0.37	105.08	902	-16.1	-3.1	109	550	2	0.51	2.48	1	0.32	73.09	905	2.0	16.5	-16.1	-1.0	129	458	1	0.43	1.84	2	0.57	2.46	1	0.29	69.35
BARABA	Neotoma	228	230	Lower Barabaschevka River Exposure 594	131.600000	43.133333	Asia	1603	11.0	28.5	-10.4	19.0	107	3486	2	0.59	2.05	0.71	1.74	2	0.72	2.85	0.82	2.31	2	0.84	250.68	0.89	208.85	18.7	20.8	2.7	7.5	637	1247	474	18.8	20.7	149	3486	1	0.13	0.49	2	0.85	210.71	599	2.7	7.4	107	2209	2	0.30	1.06	2	0.89	176.17	454	11.0	28.5	-7.3	16.6	638	1246	2	0.76	1.72	2	0.81	1.95	2	0.62	110.38
BELSKALA	Neotoma	251	256	Belaya Skala Exposure	134.566667	43.250000	Asia	1570	7.6	28.5	-10.4	19.0	123	3486	2	0.58	2.10	0.71	1.76	2	0.73	2.83	0.82	2.30	2	0.84	252.83	0.89	209.99	17.9	20.3	1.4	6.6	675	1058	474	18.0	20.2	249	3486	1	0.09	0.55	2	0.87	202.13	704	1.4	6.5	123	2147	2	0.26	1.20	2	0.88	151.55	338	7.6	28.5	-4.8	16.1	676	1057	2	0.69	1.81	2	0.77	1.78	2	0.51	71.98
Indigirka_Lowland	Neotoma	253	259	Berelyekh River, Indigirka Lowland	145.000000	70.583333	Asia	866	-2.4	18.6	-18.9	0.1	136	1058	1	0.46	2.52	0.70	1.89	1	0.34	2.73	0.47	2.44	1	0.33	87.79	0.48	76.87	9.2	12.3	-14.3	-11.5	207	305	296	9.3	12.2	148	1058	1	0.21	0.69	1	0.45	80.47	299	-14.2	-11.5	148	391	1	0.18	0.64	1	0.25	49.07	421	5.3	18.6	-16.1	-5.8	208	305	2	0.63	2.29	2	0.46	1.52	1	0.14	23.02
BETENK	Neotoma	255	261	Betenkyos Exposure, Adycha River	135.583333	67.666667	Asia	989	-2.4	20.3	-18.9	0.2	136	1058	2	0.47	2.53	0.68	1.96	1	0.55	2.84	0.64	2.55	1	0.51	97.80	0.64	84.14	11.0	13.3	-12.9	-11.3	255	300	259	11.1	13.3	153	925	2	0.30	0.58	2	0.60	76.52	104	-12.8	-11.3	148	391	1	0.24	0.37	2	0.52	47.02	227	6.7	18.6	-16.1	-7.5	255	299	1	0.60	2.38	1	0.50	1.31	1	0.12	11.05
BLUD	Neotoma	278	284	Bludlivaya River	148.400000	69.066667	Asia	904	-2.4	18.6	-18.9	0.1	130	1058	2	0.50	2.41	0.70	1.88	2	0.47	2.69	0.57	2.44	1	0.43	91.56	0.58	78.64	10.8	14.6	-14.1	-11.8	225	276	367	10.9	14.6	149	925	2	0.29	0.91	2	0.58	85.71	265	-14.0	-11.9	148	385	1	0.13	0.54	1	0.30	43.53	265	5.3	18.6	-16.1	-5.3	226	275	1	0.60	2.18	2	0.44	1.63	1	0.26	13.22
BOLOTNYI	Neotoma	293	299	Bolotnyii Stream Exposure 117	132.783333	42.850000	Asia	1588	11.0	28.5	-10.4	19.0	107	3486	2	0.59	2.05	0.71	1.74	2	0.72	2.83	0.82	2.30	2	0.84	251.52	0.89	209.34	15.2	20.7	-3.5	5.6	362	865	940	15.3	20.7	197	3486	2	0.33	1.22	2	0.85	214.01	899	-3.4	5.5	107	2192	2	0.48	1.77	2	0.87	136.05	759	11.0	27.5	-10.3	14.2	362	864	2	0.52	2.06	2	0.60	2.74	2	0.74	72.29
Byllatskoye	Neotoma	320	327	Byllatskoye Exposure, Byllat River, Indigirka Basin	140.062500	69.165278	Asia	899	-2.4	18.6	-18.9	0.1	136	1058	2	0.50	2.42	0.69	1.90	2	0.54	2.58	0.60	2.42	2	0.51	87.98	0.60	79.47	10.9	13.4	-13.4	-11.5	218	308	261	10.9	13.3	149	925	1	0.24	0.62	1	0.52	78.67	169	-13.3	-11.5	148	391	1	0.16	0.49	1	0.33	53.82	408	5.3	18.6	-16.1	-7.5	219	307	2	0.63	2.30	1	0.45	1.44	1	0.13	21.93
CAMPING	Neotoma	328	335	Chistoye Lake Exposure	151.833333	59.550000	Asia	979	2.0	22.5	-16.1	8.6	136	1411	2	0.51	2.54	0.68	2.06	1	0.76	3.20	0.82	2.84	1	0.81	126.21	0.85	113.32	9.0	15.4	-12.7	-7.6	234	431	514	9.0	15.3	148	1411	2	0.36	1.35	2	0.78	106.57	318	-12.6	-7.9	148	619	1	0.28	0.88	2	0.38	58.99	447	5.3	18.6	-16.1	-3.2	234	422	1	0.50	2.28	1	0.27	2.20	1	0.28	47.33
CHABADA2	Neotoma	346	354	Chabada Lake	129.377875	61.976835	Asia	1212	2.0	24.4	-16.1	6.5	136	1063	1	0.58	2.56	0.73	2.04	1	0.69	3.25	0.76	2.91	1	0.65	100.63	0.73	88.20	12.5	18.5	-11.0	-3.2	275	510	619	12.5	18.3	162	1063	1	0.33	1.43	2	0.72	94.67	383	-11.0	-3.3	236	904	1	0.38	2.13	1	0.30	89.21	533	5.7	24.4	-16.0	6.5	275	509	2	0.66	2.22	2	0.72	2.59	1	0.27	59.74
CHERYAR	Neotoma	356	364	Chernyii Yar Exposure 955	134.433333	43.183333	Asia	1572	7.6	28.5	-10.4	19.0	107	3486	2	0.58	2.10	0.71	1.76	2	0.73	2.83	0.82	2.29	2	0.84	252.74	0.89	209.88	17.9	20.4	1.5	6.9	680	1042	511	17.9	20.3	249	3486	1	0.10	0.61	2	0.87	200.32	712	1.6	6.8	107	2209	2	0.27	1.21	2	0.87	162.41	317	7.6	28.4	-4.8	16.1	682	1041	2	0.68	1.78	2	0.74	1.76	2	0.46	62.02
CHESNOK	Neotoma	357	365	Chesnok Peat, Irtysh River	66.500000	60.000000	Asia	2089	5.6	28.8	-13.6	13.4	112	992	1	0.61	2.27	0.73	1.88	1	0.59	2.95	0.73	2.40	2	0.58	96.21	0.73	76.21	12.6	20.6	-5.9	4.9	308	636	1578	12.6	20.5	112	834	1	0.44	1.46	2	0.53	83.98	1630	-5.8	4.9	112	992	2	0.51	1.93	2	0.61	87.89	1549	6.8	28.8	-12.4	13.4	309	635	2	0.60	1.86	1	0.51	2.79	1	0.31	72.56
DERPUT	Neotoma	664	682	Derput	124.116667	57.033333	Asia	1754	3.8	25.2	-16.1	10.8	107	1411	1	0.59	2.49	0.77	1.87	1	0.78	3.28	0.86	2.58	2	0.78	102.96	0.84	89.03	13.1	16.5	-10.7	-3.7	297	530	408	13.1	16.5	192	1356	1	0.22	0.92	2	0.83	91.14	325	-10.7	-3.7	220	904	2	0.34	1.96	1	0.25	94.74	629	7.8	24.6	-16.0	9.4	297	529	2	0.73	2.03	2	0.78	2.70	1	0.27	56.50
Dlinnoye_Lake	Neotoma	695	715	Dlinnoye Lake	-178.842260	67.756725	Asia	987	2.0	16.5	-16.1	2.1	109	1058	1	0.36	1.93	0.59	1.55	2	0.44	3.05	0.61	2.56	1	0.19	117.81	0.39	102.08	8.8	9.8	-14.3	-11.8	173	221	54	8.8	9.7	116	454	1	0.08	0.25	1	0.23	79.32	127	-14.3	-11.9	111	385	1	0.18	0.67	1	0.39	45.46	208	3.8	15.9	-15.5	-5.3	173	220	1	0.53	1.55	2	0.75	1.34	1	0.13	12.29
EK4	Neotoma	769	788	Elikchan 4 Lake	151.883333	60.750000	Asia	931	2.0	21.7	-16.1	6.8	136	1280	2	0.49	2.57	0.67	2.07	1	0.73	3.13	0.78	2.86	1	0.76	118.97	0.80	109.40	6.9	16.5	-16.1	-8.4	101	399	628	7.1	16.5	148	1243	2	0.41	1.75	2	0.79	105.21	591	-16.1	-8.5	136	619	1	0.27	1.67	1	0.24	54.78	602	2.0	18.6	-16.1	-6.2	136	394	1	0.55	2.40	1	0.24	1.80	1	0.25	52.80
ICDP5011-1	Neotoma	772	791	Elgygytgyn Stream Section	172.083333	67.416667	Asia	966	2.0	18.3	-16.1	1.8	109	1058	1	0.40	2.09	0.64	1.61	2	0.48	3.04	0.63	2.59	1	0.27	101.15	0.43	89.76	10.6	11.4	-12.5	-10.9	257	287	130	10.6	11.4	140	724	1	0.05	0.21	1	0.43	88.79	126	-12.4	-11.0	109	391	1	0.25	0.42	1	0.42	50.53	79	6.7	18.3	-16.1	-2.9	257	287	2	0.52	2.08	2	0.82	1.63	1	0.08	9.30
ELGENNYA	Neotoma	773	792	Elgennya Lake	149.000000	62.083333	Asia	920	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.90	1	0.66	113.02	0.72	102.85	7.7	13.9	-15.3	-9.3	148	368	428	7.8	13.8	148	1058	1	0.22	1.39	2	0.57	97.42	577	-15.3	-9.5	136	391	1	0.33	1.47	1	0.28	50.57	594	3.8	18.6	-16.1	-7.5	148	368	1	0.56	2.40	1	0.27	1.70	1	0.25	46.47
ENM109	Neotoma	779	799	Enmyvaam River, 2.5-3 m terrace	172.166667	67.433333	Asia	965	2.0	18.3	-16.1	1.8	109	1058	1	0.40	2.09	0.65	1.60	2	0.48	3.04	0.63	2.59	1	0.27	101.20	0.43	89.78	10.1	11.3	-14.3	-10.2	224	270	217	10.1	11.3	140	1058	1	0.20	0.37	1	0.43	91.38	348	-14.3	-10.2	109	391	1	0.26	1.01	1	0.43	55.08	164	5.3	16.2	-16.1	-2.4	225	270	2	0.43	1.73	2	0.76	1.89	1	0.19	11.78
ENMYN	Neotoma	781	801	Enmynveem River	166.000000	68.250000	Asia	1064	2.0	18.6	-16.1	1.4	109	1058	1	0.47	2.29	0.70	1.72	2	0.44	2.87	0.62	2.39	1	0.24	96.13	0.44	82.44	9.2	12.7	-13.3	-8.6	207	364	435	9.3	12.6	116	1058	1	0.10	0.83	1	0.31	103.80	499	-13.2	-8.6	109	422	1	0.27	1.00	2	0.43	51.42	621	5.3	18.6	-16.1	-2.4	208	363	2	0.57	2.07	2	0.65	1.95	1	0.18	34.81
ENTARNOY	Neotoma	784	804	Entarnoye Peat Exposure	78.333333	59.000000	Asia	2041	4.6	34.0	-15.4	15.6	15	992	2	0.57	3.08	0.73	2.43	2	0.67	3.02	0.78	2.45	2	0.61	103.06	0.79	75.58	7.9	23.6	-12.8	6.5	174	798	1812	7.9	23.6	58	992	1	0.51	2.35	2	0.60	100.83	1839	-12.5	6.5	58	992	1	0.56	2.62	2	0.61	98.22	1860	4.6	28.8	-15.4	13.4	175	797	2	0.62	2.60	1	0.66	2.88	2	0.56	93.78
GEK	Neotoma	838	866	Gek Lake	147.650000	63.383333	Asia	928	2.0	21.7	-16.1	4.1	136	1058	2	0.50	2.60	0.69	2.05	1	0.66	3.09	0.71	2.84	1	0.65	109.92	0.72	98.12	9.5	13.9	-12.9	-10.3	247	328	376	9.5	13.9	148	1058	2	0.29	1.03	2	0.61	97.39	244	-12.8	-10.3	148	391	2	0.59	0.51	2	0.42	48.30	298	6.7	18.6	-16.1	-7.5	248	325	1	0.56	2.25	2	0.50	1.29	1	0.26	20.66
GLADKOYE	Neotoma	847	876	Gladkoye Bog	83.333333	55.000000	Asia	2130	4.6	34.0	-12.9	15.6	15	992	2	0.54	3.27	0.70	2.63	2	0.62	3.07	0.75	2.51	2	0.69	100.90	0.82	76.38	11.5	21.8	-6.1	5.7	233	687	1604	11.5	21.8	32	992	1	0.35	2.03	2	0.64	98.42	1572	-6.1	5.5	46	992	1	0.44	2.11	2	0.67	98.86	1624	4.6	28.8	-12.9	13.4	233	682	2	0.62	2.44	1	0.58	2.64	2	0.55	80.61
GLUPEAT	Neotoma	851	880	Peat Exposure, Glukhoye Lake	149.916667	59.750000	Asia	998	2.0	22.5	-16.1	8.6	136	1411	2	0.53	2.52	0.68	2.08	2	0.79	3.07	0.81	2.94	1	0.80	127.81	0.84	114.97	11.4	12.8	-11.5	-9.0	290	338	123	11.5	12.7	155	925	1	0.06	0.35	2	0.72	76.45	221	-11.4	-9.0	170	407	1	0.16	0.50	1	0.30	40.90	123	7.4	17.8	-15.6	-8.7	290	336	2	0.71	1.74	1	0.38	0.99	1	0.21	10.50
GOLUBOY	Neotoma	939	968	Goluboye Lake	152.266667	61.116667	Asia	907	2.0	21.7	-16.1	6.8	136	1198	2	0.49	2.59	0.66	2.08	1	0.71	3.12	0.75	2.87	1	0.71	116.09	0.76	106.84	8.7	15.7	-13.4	-9.0	220	378	534	8.7	15.6	148	1198	1	0.29	1.49	2	0.76	107.26	372	-13.3	-9.0	148	407	1	0.38	0.94	1	0.29	51.42	405	5.3	18.6	-16.1	-6.2	223	378	1	0.51	2.44	1	0.27	1.76	1	0.12	35.06
GURSKII	Neotoma	966	997	Gurskii Peat [Site 4381]	137.083333	50.066667	Asia	1701	7.6	27.2	-16.1	17.6	182	3192	1	0.57	2.18	0.76	1.64	2	0.79	3.46	0.87	2.70	2	0.86	197.14	0.89	175.49	13.5	19.2	-12.8	6.7	157	995	830	13.5	19.1	192	3192	1	0.30	1.23	2	0.87	173.82	1314	-12.4	6.7	182	2192	2	0.74	2.78	2	0.84	148.76	1287	8.7	25.2	-16.1	10.8	182	984	2	0.60	1.94	1	0.73	3.36	2	0.73	102.69
GYTGYKAI	Neotoma	967	998	Gytgykai Lake	175.000000	63.166667	Asia	851	2.0	16.5	-16.1	1.8	109	1058	1	0.41	1.91	0.61	1.55	2	0.48	3.11	0.61	2.69	1	0.30	105.26	0.43	95.03	5.7	13.9	-18.2	-5.8	34	494	637	6.0	13.8	109	1058	1	0.26	1.56	2	0.42	104.16	625	-16.1	-5.8	109	502	2	0.45	2.18	2	0.48	60.42	791	2.0	16.5	-16.1	-0.2	109	486	1	0.45	1.88	2	0.56	2.57	1	0.38	68.77
IGARKA	Neotoma	1108	1141	Igarka Peat Exposure	86.000000	67.666667	Asia	1570	-2.4	22.3	-18.9	4.8	147	992	2	0.61	2.23	0.71	1.90	1	0.72	2.92	0.81	2.38	2	0.51	105.26	0.70	82.97	5.0	18.7	-22.4	8.6	30	887	1419	5.3	18.7	147	992	1	0.54	2.27	2	0.53	106.75	1570	-18.9	4.8	147	992	1	0.72	2.92	2	0.51	105.26	1564	-2.4	22.3	-18.9	4.8	147	834	2	0.61	2.22	1	0.72	2.92	2	0.53	100.89
Ilinka_Terrace	Neotoma	1111	1144	Il'inka Terrace	142.166667	47.966667	Asia	1368	7.6	27.2	-16.1	17.6	215	3192	2	0.62	2.17	0.78	1.68	2	0.81	3.31	0.88	2.67	2	0.85	220.36	0.88	198.87	16.1	18.4	-3.4	2.0	519	837	404	16.2	18.3	236	3192	1	0.07	0.53	2	0.85	185.30	315	-3.3	2.0	215	2192	2	0.40	1.09	2	0.73	125.84	400	10.6	24.2	-8.8	10.0	520	836	2	0.59	1.63	1	0.55	2.07	2	0.41	64.45
Izylmetevskaya	Neotoma	1122	1156	Izylmet'evskaya Terrace Exposure 3410	141.966667	48.816667	Asia	1363	7.6	26.7	-16.1	17.6	215	3192	2	0.60	2.18	0.76	1.68	2	0.81	3.33	0.88	2.63	2	0.85	210.26	0.88	188.68	14.8	17.6	-5.5	4.3	465	765	348	14.9	17.5	243	2147	1	0.12	0.77	2	0.89	164.58	594	-5.3	4.3	215	2192	2	0.66	1.63	2	0.81	138.66	387	8.7	24.2	-8.8	10.0	467	762	1	0.52	1.94	2	0.64	2.23	2	0.64	57.68
JACKLOND	Neotoma	1124	1158	Jack London Lake	149.500000	62.166667	Asia	920	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.90	1	0.66	113.02	0.72	102.85	9.9	15.9	-13.9	-8.8	193	391	511	10.1	15.8	148	1058	1	0.29	1.39	2	0.74	99.75	398	-13.8	-9.0	148	407	1	0.38	1.01	1	0.27	51.05	513	5.3	18.6	-16.1	-6.2	194	391	1	0.53	2.35	1	0.27	1.83	1	0.19	45.41
Wrangle_Island_JackLondonLake	Neotoma	1126	1161	Jack London Lake	179.623611	70.894167	Asia	1045	2.0	16.5	-16.1	2.1	109	1033	1	0.40	1.87	0.62	1.51	2	0.47	2.97	0.64	2.48	1	0.21	99.52	0.43	84.68	6.8	8.8	-16.6	-12.3	112	250	77	6.9	8.8	112	477	1	0.15	0.53	2	0.64	52.80	308	-16.1	-12.3	136	386	1	0.15	0.91	1	0.26	48.04	490	2.0	15.9	-16.0	-2.4	116	249	1	0.46	1.88	2	0.68	1.47	1	0.14	30.47
KALIST	Neotoma	1397	1433	Kalistratikha Exposure	83.250000	53.333333	Asia	2196	1.9	34.0	-10.9	15.6	15	992	2	0.46	3.65	0.63	3.00	2	0.56	3.29	0.69	2.78	2	0.73	99.47	0.84	75.89	6.0	25.7	-9.6	9.2	-19	482	2004	6.1	25.7	27	992	2	0.44	2.90	2	0.71	99.45	2052	-9.6	9.1	27	992	2	0.54	2.82	2	0.71	99.02	1471	1.9	34.0	-10.9	15.6	15	482	2	0.48	4.14	2	0.57	3.64	2	0.71	71.34
KARASYE	Neotoma	1402	1439	Karasye Lake	70.220000	53.030000	Asia	2072	2.2	34.0	-10.0	17.3	15	992	2	0.49	3.51	0.66	2.83	2	0.57	3.26	0.70	2.71	2	0.71	100.27	0.83	76.92	16.4	21.7	-0.6	4.1	349	511	953	16.4	21.7	27	828	2	0.40	0.96	2	0.70	80.59	836	-0.6	4.0	28	828	2	0.35	0.96	2	0.74	81.07	587	4.6	26.3	-10.0	10.0	350	511	1	0.72	1.92	1	0.72	2.28	1	0.26	39.73
KARGA	Neotoma	1404	1441	Karginskii Cape Peat Exposure	85.000000	70.000000	Asia	1250	-2.4	21.6	-18.9	3.0	136	992	2	0.65	2.09	0.74	1.81	2	0.78	2.84	0.82	2.54	2	0.55	99.61	0.72	79.39	9.9	19.8	-12.6	0.2	260	770	1104	10.0	19.7	181	992	2	0.65	1.65	2	0.55	94.62	625	-12.5	0.2	264	992	1	0.52	2.39	1	0.31	99.94	1077	5.7	21.6	-15.4	3.0	261	761	2	0.65	1.99	2	0.75	2.67	2	0.48	83.97
KARGOPOL	Neotoma	1405	1442	Kargopolovo Exposure	83.000000	55.000000	Asia	2135	4.6	34.0	-12.9	15.6	15	992	2	0.54	3.28	0.70	2.64	2	0.62	3.08	0.74	2.53	2	0.69	100.86	0.82	76.45	12.2	21.7	-5.4	3.5	340	511	1498	12.3	21.7	32	992	2	0.42	1.73	2	0.65	95.01	1373	-5.3	3.5	46	992	1	0.36	1.86	2	0.68	95.92	638	4.6	26.3	-10.8	10.0	341	510	2	0.74	2.10	1	0.71	2.39	1	0.27	42.76
KAYAKSK	Neotoma	1407	1444	Kayakskoye Zaimitschye	81.000000	55.000000	Asia	2107	4.6	34.0	-12.5	15.6	15	992	2	0.54	3.25	0.70	2.63	2	0.61	3.05	0.73	2.54	2	0.69	100.16	0.81	76.94	9.7	22.9	-8.4	4.4	230	622	1766	9.7	22.9	27	992	1	0.40	2.32	2	0.66	97.66	1796	-8.3	4.3	56	992	1	0.50	2.40	2	0.64	98.32	1556	4.6	28.8	-12.5	13.4	231	622	2	0.62	2.48	1	0.58	2.67	2	0.57	74.74
Khlebnikova_Stream	Neotoma	1476	1513	Khlebnikov Stream Exposure 5858	145.488200	43.733860	Asia	1063	7.6	27.2	-10.2	19.0	342	3486	2	0.69	2.15	0.80	1.75	2	0.82	2.64	0.89	2.11	2	0.82	254.33	0.84	240.38	12.2	22.0	-3.2	8.6	737	1236	790	12.3	22.0	376	3486	2	0.45	1.71	2	0.78	237.32	665	-3.2	8.4	384	3192	2	0.61	1.89	2	0.77	199.76	295	7.6	23.5	-4.8	12.8	738	1228	1	0.65	1.53	2	0.74	1.68	2	0.62	101.04
KHOMUR	Neotoma	1478	1515	Bol'shoi Khomus-Yuryakh River	153.750000	70.125000	Asia	915	-2.4	18.6	-18.9	0.1	109	1058	1	0.48	2.45	0.70	1.87	1	0.30	2.85	0.50	2.40	1	0.30	86.71	0.45	77.13	10.7	10.9	-12.4	-11.8	255	264	16											40	-12.3	-11.9	111	385	1	0.40	0.10	2	0.81	31.70	50	6.7	18.6	-16.1	-3.7	255	264	1	0.55	2.20	2	0.29	2.15	1	0.21	2.57
KOLYMA	Neotoma	1504	1542	Berelyekh River	147.750000	63.283333	Asia	928	2.0	21.7	-16.1	4.1	136	1058	2	0.50	2.60	0.69	2.05	1	0.66	3.09	0.71	2.84	1	0.65	109.92	0.72	98.12	7.8	14.1	-15.7	-10.2	135	333	477	8.0	14.1	148	1058	1	0.26	1.45	2	0.62	96.77	551	-15.7	-10.3	136	391	1	0.28	1.44	1	0.27	49.29	587	2.0	18.6	-16.1	-7.5	136	329	1	0.58	2.43	1	0.35	1.53	1	0.28	42.46
CHESNOK	Neotoma	1505	1543	Komaritsa Peat Exposure	69.000000	57.500000	Asia	1883	5.6	30.8	-12.5	14.1	77	992	2	0.63	2.43	0.73	2.09	2	0.62	2.82	0.74	2.35	2	0.62	98.94	0.75	79.22	16.3	20.4	-3.3	6.3	260	841	912	16.4	20.4	90	828	2	0.37	0.78	2	0.59	74.98	1275	-3.2	6.2	77	992	1	0.45	1.70	2	0.64	89.02	1617	5.6	28.8	-12.5	13.4	261	834	1	0.54	2.20	1	0.57	2.74	2	0.43	90.25
Kosmodemyanskaya-1	Neotoma	1507	1545	Gulf of Kosmodem'yanskaya-1 Exposure 5706	145.941060	44.151410	Asia	1050	7.6	27.2	-10.2	18.9	342	3421	2	0.68	2.17	0.79	1.76	2	0.81	2.65	0.88	2.11	2	0.81	250.27	0.84	230.47	15.5	18.6	-0.4	3.9	645	888	322	15.5	18.5	422	3192	1	0.14	0.77	2	0.79	209.74	233	-0.4	3.9	395	2031	1	0.28	1.05	2	0.81	135.29	299	10.6	21.9	-3.7	6.8	647	885	1	0.56	1.56	1	0.52	1.54	1	0.12	46.94
Kosmodemyanskaya-2	Neotoma	1508	1546	Gulf of Kosmodem'yanskaya-2 Exposure 5705	145.941020	44.151360	Asia	1050	7.6	27.2	-10.2	18.9	342	3421	2	0.68	2.17	0.79	1.76	2	0.81	2.65	0.88	2.11	2	0.81	250.27	0.84	230.47	13.2	18.8	-1.7	3.4	560	866	453	13.3	18.8	422	3192	1	0.31	1.17	2	0.80	201.58	245	-1.6	3.4	488	2192	2	0.46	1.20	2	0.79	134.52	381	10.6	23.0	-7.9	6.8	561	866	2	0.57	1.59	1	0.60	1.55	1	0.22	68.24
Kosmodemyanskaya-3	Neotoma	1509	1547	Gulf of Kosmodem'yanskaya-3 Exposure 5815	145.939860	44.152200	Asia	1050	7.6	27.2	-10.2	18.9	342	3421	2	0.68	2.17	0.79	1.76	2	0.81	2.65	0.88	2.11	2	0.81	250.27	0.84	230.47	12.2	19.7	-4.8	5.0	497	957	610	12.3	19.6	376	3421	1	0.33	1.50	2	0.80	198.16	529	-4.8	4.9	395	2192	2	0.67	1.68	2	0.80	144.95	457	8.8	24.2	-7.9	7.6	497	928	2	0.55	1.73	2	0.59	1.96	2	0.42	79.56
KOTYRKOL	Neotoma	1511	1549	Kotyrkol' Peat Bog	70.380440	52.962220	Asia	2043	2.0	34.0	-10.3	17.3	15	992	2	0.48	3.55	0.67	2.84	2	0.56	3.28	0.70	2.72	2	0.71	101.02	0.82	77.82	13.8	19.4	-3.3	1.5	323	509	1097	13.8	19.4	27	828	1	0.36	1.21	2	0.66	84.43	758	-3.3	1.4	28	992	1	0.17	1.31	2	0.76	92.43	687	4.6	28.8	-10.0	13.4	325	508	2	0.77	2.23	2	0.71	2.38	1	0.37	44.82
KREST	Neotoma	1513	1551	Kresta Gulf Exposure	-179.000000	66.000000	Asia	959	2.0	16.5	-16.1	2.1	109	1058	1	0.36	1.94	0.59	1.55	2	0.45	3.05	0.61	2.57	1	0.21	118.24	0.41	102.32	9.5	11.3	-13.3	-9.2	191	279	228	9.5	11.3	116	1058	1	0.14	0.47	2	0.51	88.14	330	-13.3	-9.2	109	391	1	0.46	0.85	2	0.54	47.41	328	6.0	16.2	-16.1	-2.4	192	278	1	0.44	1.75	2	0.77	1.74	1	0.19	22.21
KUBAGA	Neotoma	1515	1553	Bol'shaya Kuobakh-Baga River, Terrace Site	143.375000	64.983333	Asia	997	2.0	21.7	-16.1	3.1	136	1058	2	0.53	2.48	0.72	1.90	1	0.64	2.92	0.73	2.55	1	0.61	105.21	0.71	91.43	11.8	13.7	-12.2	-10.4	273	330	182	11.8	13.7	155	925	1	0.04	0.57	2	0.65	88.26	139	-12.1	-10.5	149	391	2	0.63	0.30	1	0.40	54.19	232	5.7	18.3	-15.6	-7.5	274	329	1	0.61	2.34	1	0.50	1.14	1	0.24	14.05
KURO11	Neotoma	1521	1559	East Siberian Sea Coast 11	156.250000	71.066667	Asia	958	-2.4	18.6	-18.9	0.1	109	1058	1	0.47	2.43	0.70	1.83	1	0.32	2.73	0.50	2.35	1	0.24	84.29	0.40	75.05	8.9	12.6	-14.4	-10.2	221	276	437	9.0	12.6	140	1058	1	0.16	0.90	1	0.39	87.38	499	-14.4	-10.3	109	391	2	0.42	1.00	1	0.27	51.92	314	5.3	18.6	-16.1	-3.4	222	276	2	0.63	2.15	2	0.50	1.90	1	0.16	15.52
KUROP7	Neotoma	1524	1562	Bol'shaya Kuropatoch'ya River (KUROP7)	156.750000	70.666667	Asia	967	-2.4	18.6	-18.9	0.1	109	1058	1	0.47	2.43	0.70	1.83	1	0.34	2.76	0.52	2.35	1	0.25	85.44	0.41	75.81	9.8	11.9	-14.1	-12.6	219	247	299	9.8	11.8	144	1058	1	0.11	0.58	1	0.42	84.25	216	-14.1	-12.6	151	329	1	0.18	0.36	1	0.35	35.85	103	5.3	18.3	-16.0	-3.4	222	246	2	0.55	1.88	2	0.58	1.80	1	0.08	6.12
KURPEAT	Neotoma	1525	1563	Bol'shaya Kuropatoch'ya River (KURPEAT)	156.375000	69.966667	Asia	945	-2.4	18.6	-18.9	0.1	109	1058	1	0.47	2.44	0.69	1.86	1	0.33	2.84	0.52	2.39	1	0.26	87.54	0.41	77.93	7.6	14.6	-15.2	-10.6	198	299	637	7.7	14.5	127	1058	1	0.27	1.44	1	0.35	91.06	548	-15.1	-10.6	109	391	1	0.23	1.22	1	0.26	52.19	450	5.3	18.6	-16.1	-3.4	199	298	2	0.60	2.25	1	0.49	1.91	1	0.16	23.85
Kyurbe-Yuryakh-2	Neotoma	1528	1566	Kyurbe-Yuryakh-2	138.616667	68.598611	Asia	931	-2.4	20.0	-18.9	0.1	136	1058	2	0.46	2.55	0.69	1.95	1	0.52	2.85	0.61	2.56	1	0.49	95.83	0.61	83.54	11.3	13.3	-12.4	-10.9	267	326	187	11.4	13.2	153	925	1	0.06	0.50	1	0.56	81.22	93	-12.3	-11.0	148	391	1	0.23	0.39	1	0.34	54.33	256	5.7	18.3	-16.1	-7.5	268	325	1	0.62	2.32	1	0.48	1.21	1	0.21	15.07
LEDOBOZ	Neotoma	1577	1623	Ledovyi Obryu Exposure, Southern Section	171.183333	64.100000	Asia	886	2.0	18.3	-16.1	1.8	109	1058	1	0.38	2.11	0.65	1.59	2	0.47	3.08	0.61	2.65	1	0.29	103.95	0.43	92.98	9.4	11.8	-14.9	-5.4	167	422	313	9.5	11.8	143	1058	1	0.11	0.59	1	0.35	98.29	647	-14.9	-5.4	109	502	2	0.47	2.02	1	0.39	65.19	720	3.8	18.3	-16.1	-1.0	167	422	1	0.43	1.99	2	0.60	2.37	1	0.32	59.93
Lesnaya_River	Neotoma	1580	1627	Lesnaya River Exposure	145.750000	44.000000	Asia	1054	7.6	27.2	-10.2	19.0	342	3421	2	0.69	2.16	0.79	1.76	2	0.82	2.65	0.88	2.11	2	0.82	250.71	0.84	232.00	11.8	18.5	-4.7	4.3	474	1093	462	11.9	18.4	374	3192	1	0.30	1.42	2	0.81	194.27	463	-4.6	4.2	395	2192	2	0.68	1.55	2	0.78	141.31	524	7.6	24.2	-7.9	7.6	476	1091	1	0.46	2.00	2	0.62	2.05	2	0.51	100.52
Lesnoye_Lake	Neotoma	1581	1628	Lesnoye Lake	151.866667	59.583333	Asia	978	2.0	22.5	-16.1	8.6	136	1411	2	0.51	2.54	0.68	2.06	1	0.76	3.21	0.82	2.85	1	0.81	126.28	0.85	113.41	9.2	15.4	-13.2	-2.4	200	652	500	9.5	15.3	148	1411	2	0.36	1.28	2	0.78	106.34	492	-13.2	-2.6	148	925	1	0.23	2.39	1	0.27	95.91	653	5.3	22.5	-16.1	3.7	201	644	1	0.41	2.70	1	0.50	3.21	1	0.48	88.78
Lorino	Neotoma	1612	1664	Lorino Exposure	-171.700000	65.500000	Asia	889	2.0	16.6	-16.0	6.1	109	2515	1	0.38	1.93	0.62	1.51	2	0.48	2.80	0.68	2.20	1	0.58	144.37	0.76	112.71	7.2	11.4	-16.8	-6.9	144	267	348	7.2	11.4	112	724	1	0.21	1.04	1	0.33	116.98	533	-16.0	-7.0	109	422	1	0.52	1.39	1	0.40	56.26	402	2.0	16.2	-16.0	-2.4	145	267	1	0.44	1.86	2	0.64	1.56	1	0.11	31.79
LUKA	Neotoma	1626	1680	Lukaschin Yar Peat Exposure	78.500000	61.000000	Asia	1856	5.6	29.2	-15.4	11.0	58	992	2	0.67	2.35	0.76	2.01	2	0.74	2.64	0.82	2.20	2	0.61	102.66	0.78	76.80	6.7	20.4	-13.8	2.9	224	686	1639	6.8	20.4	90	992	2	0.57	2.06	2	0.57	101.76	1563	-13.6	2.9	77	992	1	0.63	2.52	2	0.58	100.08	1533	5.6	26.9	-15.4	10.3	225	682	2	0.67	2.07	1	0.73	2.57	2	0.54	80.90
MADJAGA	Neotoma	1632	1687	Lake Madjagara	120.966667	64.833333	Asia	1204	-2.4	21.8	-18.9	1.4	136	779	1	0.56	2.46	0.74	1.87	1	0.66	2.96	0.77	2.43	1	0.56	88.77	0.72	70.64	13.6	17.1	-9.7	-5.2	338	443	347	13.6	17.1	192	779	1	0.25	0.89	2	0.67	84.28	173	-9.7	-5.2	236	644	2	0.34	1.05	1	0.15	75.88	195	10.1	20.0	-16.0	-0.9	342	440	2	0.85	1.22	2	0.64	2.12	1	0.14	26.72
MAIN	Neotoma	1633	1688	Ledovyi Obryv Exposure, Northern Section	171.183333	64.100000	Asia	886	2.0	18.3	-16.1	1.8	109	1058	1	0.38	2.11	0.65	1.59	2	0.47	3.08	0.61	2.65	1	0.29	103.95	0.43	92.98	7.7	12.8	-17.0	-5.0	109	438	509	7.8	12.8	127	1058	1	0.13	1.16	2	0.40	101.60	734	-16.1	-5.1	109	502	2	0.50	2.21	1	0.38	63.45	801	2.0	18.3	-16.1	-1.0	111	436	1	0.44	2.06	2	0.59	2.32	1	0.36	63.15
MALTAN	Neotoma	1640	1695	Maltan River Exposure	151.616667	60.883333	Asia	924	2.0	21.7	-16.1	6.8	136	1199	2	0.49	2.58	0.67	2.07	1	0.72	3.13	0.77	2.87	1	0.75	117.40	0.78	109.22	8.0	14.5	-15.1	-9.3	146	367	462	8.0	14.5	148	1198	2	0.33	1.37	2	0.68	104.81	527	-15.1	-9.5	136	391	1	0.36	1.36	1	0.28	51.20	560	3.8	18.6	-16.1	-7.5	148	365	1	0.55	2.41	1	0.27	1.69	1	0.24	46.16
MAMENM	Neotoma	1641	1696	Enmynveem River (mammoth site)	165.933333	68.166667	Asia	1063	2.0	18.6	-16.1	1.4	109	1058	1	0.47	2.29	0.70	1.73	2	0.44	2.87	0.62	2.39	1	0.24	96.16	0.44	82.48	8.8	12.3	-17.4	-10.1	111	315	414	8.9	12.2	116	1058	1	0.12	0.84	1	0.33	102.74	626	-16.1	-10.1	109	391	1	0.28	1.53	1	0.30	52.25	745	2.0	18.6	-16.1	-3.1	111	315	2	0.61	2.15	2	0.58	1.83	1	0.29	43.06
Mereya_River	Neotoma	1680	1736	Mereya River, Lagoon Terrace Exposure S4000(30)	142.916667	46.616667	Asia	1326	7.6	27.2	-15.6	18.9	218	3421	2	0.64	2.17	0.79	1.67	2	0.82	3.18	0.89	2.53	2	0.85	231.97	0.87	211.79	12.2	28.3	-8.6	6.8	271	819	1227	12.3	27.2	218	3421	2	0.61	1.95	2	0.84	238.00	851	-8.1	6.8	218	2192	2	0.71	2.07	2	0.82	161.16	748	8.7	24.6	-15.6	10.0	272	817	1	0.65	1.92	2	0.71	2.79	2	0.78	79.65
Nizmennyii_Cape	Neotoma	1751	1809	Cape Nizmennyii Exposure C3352	142.016667	49.166667	Asia	1366	7.6	26.7	-16.1	17.6	215	3192	2	0.59	2.19	0.76	1.68	2	0.81	3.34	0.88	2.65	2	0.85	209.37	0.88	188.29	14.4	18.3	-8.3	0.6	354	643	571	14.4	18.3	236	3192	1	0.12	0.96	2	0.86	177.77	391	-8.1	0.6	218	2192	1	0.52	1.48	1	0.48	131.40	371	8.7	24.6	-12.3	7.6	355	641	1	0.74	1.90	1	0.65	2.42	1	0.51	58.93
NIZVAR	Neotoma	1752	1810	Nizhnevartovskoye Exposure	77.000000	61.250000	Asia	1808	5.6	29.2	-15.4	11.0	77	992	1	0.62	2.44	0.74	2.00	1	0.71	2.71	0.81	2.20	2	0.60	102.55	0.77	77.39	10.2	18.1	-9.3	0.2	210	592	1101	10.2	18.1	93	992	1	0.41	1.71	2	0.60	102.03	894	-9.2	0.1	103	992	1	0.38	2.05	2	0.62	103.66	1374	5.6	26.9	-15.4	10.3	211	591	2	0.71	2.05	1	0.75	2.58	2	0.54	75.18
ONEMEN	Neotoma	1773	1832	Northern Coast of Onemen Gulf	176.166667	64.783333	Asia	864	2.0	16.5	-16.1	2.1	109	1058	1	0.40	1.91	0.61	1.55	2	0.49	3.11	0.61	2.71	1	0.29	108.78	0.40	99.99	10.0	13.5	-13.8	-0.8	176	623	459	10.1	13.4	140	1058	1	0.18	0.88	1	0.33	113.23	673	-13.6	-0.9	109	1058	2	0.46	2.45	2	0.42	87.47	711	6.0	16.5	-16.1	1.8	177	606	1	0.35	1.77	2	0.51	3.05	1	0.20	87.06
Opasnaya_River	Neotoma	1777	1836	Headwaters Opasnaya River	138.483333	48.233333	Asia	1684	7.6	27.2	-16.1	18.9	196	3421	1	0.57	2.23	0.77	1.63	2	0.80	3.29	0.88	2.54	2	0.85	234.48	0.90	195.71	15.8	17.4	-6.4	1.9	349	734	252	15.9	17.4	248	2209	1	0.14	0.44	2	0.89	189.28	463	-6.4	1.8	215	2192	1	0.61	1.44	1	0.57	128.86	596	8.7	25.2	-12.3	10.8	349	734	2	0.72	1.88	2	0.73	2.47	2	0.62	68.76
OPASMS	Neotoma	1778	1837	Headwaters Opasnaya River (mine shaft)	138.483333	48.233333	Asia	1684	7.6	27.2	-16.1	18.9	196	3421	1	0.57	2.23	0.77	1.63	2	0.80	3.29	0.88	2.54	2	0.85	234.48	0.90	195.71	16.2	17.6	-2.2	1.5	587	710	293	16.3	17.6	248	2209	1	0.09	0.39	2	0.90	186.76	264	-2.2	1.5	215	2192	2	0.34	0.88	1	0.57	152.70	137	10.6	25.2	-8.8	10.8	588	709	2	0.67	1.77	2	0.58	2.17	1	0.19	36.47
Oumi	Neotoma	1783	1842	Oumi Exposure	138.400000	48.216667	Asia	1690	7.6	27.2	-16.1	18.9	196	3421	1	0.57	2.23	0.77	1.65	2	0.80	3.31	0.88	2.58	2	0.85	234.25	0.90	195.69	14.9	16.5	-7.6	-1.3	329	575	152	14.9	16.4	243	2147	1	0.01	0.48	2	0.90	141.65	260	-7.3	-1.4	310	1411	1	0.56	1.17	2	0.58	87.89	450	8.7	24.6	-16.0	8.5	330	574	2	0.78	1.75	2	0.78	2.36	2	0.45	50.50
OVRA1	Neotoma	1784	1843	Ovrazhnyii-1 Stream Exposure	134.566667	43.250000	Asia	1570	7.6	28.5	-10.4	19.0	123	3486	2	0.58	2.10	0.71	1.76	2	0.73	2.83	0.82	2.30	2	0.84	252.83	0.89	209.99	13.8	21.1	-5.2	7.4	223	1303	1052	13.8	21.0	215	3486	2	0.42	1.39	2	0.85	211.31	1102	-5.2	7.3	123	2209	2	0.54	2.05	2	0.85	162.70	1128	7.6	28.5	-10.4	16.6	226	1301	2	0.58	2.03	2	0.68	2.69	2	0.81	118.67
Ovrazhnyii_Stream-2	Neotoma	1785	1844	Ovrazhnyii-2 Exposure 667-842	134.566667	43.250000	Asia	1570	7.6	28.5	-10.4	19.0	123	3486	2	0.58	2.10	0.71	1.76	2	0.73	2.83	0.82	2.30	2	0.84	252.83	0.89	209.99	14.6	21.1	-4.0	8.2	440	1108	1015	14.7	21.0	215	3486	2	0.35	1.34	2	0.85	212.24	1122	-3.9	8.2	123	3192	2	0.52	2.07	2	0.86	180.85	688	7.6	28.5	-8.8	16.1	440	1108	2	0.60	2.20	2	0.69	2.67	2	0.63	98.54
OZERKI	Neotoma	1786	1845	Ozerki	80.466667	50.416667	Asia	2065	0.6	34.0	-12.4	15.6	15	992	2	0.44	3.83	0.60	3.22	2	0.51	3.36	0.64	2.90	2	0.74	99.42	0.85	76.12	12.5	20.4	-3.5	3.0	88	493	1319	12.6	20.3	27	834	1	0.28	1.71	2	0.72	91.34	1136	-3.4	2.9	28	992	1	0.28	1.51	2	0.75	91.60	1264	1.9	30.4	-10.4	13.6	88	493	1	0.56	3.59	2	0.57	3.11	2	0.63	66.87
Paramonovskii_Stream	Neotoma	1791	1850	Paramonovskii Stream Exposure 4980	133.750000	43.200000	Asia	1585	7.6	28.5	-10.4	19.0	107	3486	2	0.58	2.10	0.71	1.75	2	0.72	2.84	0.82	2.30	2	0.84	252.09	0.89	209.88	14.9	21.9	-2.9	8.7	417	1185	1128	15.0	21.8	185	3486	2	0.35	1.45	2	0.84	223.45	1117	-2.8	8.7	107	3192	2	0.49	2.03	2	0.85	187.35	772	7.6	28.5	-8.8	16.1	418	1185	2	0.61	2.21	2	0.69	2.75	2	0.70	105.94
PASHENN	Neotoma	1798	1860	Pashennoe	75.398580	49.367710	Asia	1949	0.6	34.0	-12.4	16.5	15	992	1	0.41	3.93	0.62	3.13	2	0.50	3.35	0.64	2.86	2	0.73	101.82	0.84	77.33	15.2	18.9	-1.2	2.3	187	411	786	15.2	18.8	27	828	1	0.27	0.89	2	0.66	85.84	667	-1.2	2.2	28	803	1	0.23	0.82	2	0.79	79.54	658	4.5	28.8	-10.0	13.4	187	410	2	0.65	3.32	1	0.59	2.97	2	0.41	45.63
PAVLOVKA	Neotoma	1805	1867	Pavlovka Exposure 988	134.000000	44.316667	Asia	1649	7.6	28.5	-11.1	19.0	107	3486	2	0.59	2.05	0.70	1.76	2	0.73	3.21	0.83	2.58	2	0.84	250.07	0.89	208.00	14.2	19.5	-8.0	3.3	389	817	757	14.3	19.4	218	3192	1	0.23	1.17	2	0.86	203.68	632	-8.0	3.3	148	2192	2	0.60	1.56	2	0.83	113.22	656	11.0	27.5	-9.2	14.2	390	817	2	0.54	2.10	2	0.63	2.75	2	0.73	65.69
PENZHIN	Neotoma	1821	1885	Penzhinskaya Gulf	165.416667	62.416667	Asia	853	2.0	18.6	-16.1	1.4	109	1058	2	0.48	2.29	0.69	1.76	2	0.54	3.07	0.66	2.63	2	0.53	104.16	0.63	91.91	10.6	13.6	-10.4	-7.2	256	426	319	10.7	13.5	148	925	1	0.23	0.73	2	0.48	104.63	144	-10.4	-7.4	143	422	2	0.52	0.54	2	0.52	40.99	365	6.7	18.6	-16.1	-1.0	256	422	2	0.57	1.99	2	0.49	2.30	2	0.42	39.13
PEPELNOY	Neotoma	1822	1886	Pepel'noye Lake	150.616667	59.850000	Asia	991	2.0	22.5	-16.1	8.6	136	1411	2	0.53	2.53	0.69	2.06	2	0.79	3.05	0.81	2.90	1	0.80	127.60	0.84	114.58	11.0	13.2	-11.6	-9.7	262	341	206	11.1	13.2	153	1411	2	0.33	0.54	2	0.74	83.05	208	-11.6	-9.7	158	391	1	0.19	0.40	2	0.35	40.62	221	6.7	18.5	-16.1	-7.5	262	336	2	0.63	2.19	1	0.38	1.34	1	0.23	16.59
PESCHANK	Neotoma	1825	1889	Peschanka Exposure 155	132.116667	43.300000	Asia	1596	11.0	28.5	-10.4	19.0	107	3486	2	0.59	2.05	0.71	1.74	2	0.72	2.84	0.82	2.31	2	0.84	251.15	0.89	209.24	14.5	20.5	-4.7	6.5	300	995	939	14.5	20.4	197	3486	2	0.34	1.29	2	0.85	205.86	1060	-4.7	6.5	107	2192	2	0.51	2.01	2	0.85	146.84	904	11.0	28.4	-10.4	16.1	300	995	2	0.51	2.00	2	0.59	2.72	2	0.76	82.36
PODKOVA	Neotoma	1895	1959	Podkova Lake	152.100000	59.950000	Asia	965	2.0	22.5	-16.1	6.8	136	1411	2	0.50	2.55	0.67	2.07	1	0.75	3.19	0.80	2.85	1	0.80	123.22	0.84	110.90	11.7	14.9	-11.7	-9.5	270	359	300	11.7	14.8	155	1411	1	0.12	0.90	2	0.81	100.43	221	-11.7	-9.5	155	391	1	0.21	0.44	2	0.38	42.15	207	6.7	18.3	-16.0	-7.5	271	357	2	0.58	2.28	1	0.21	1.55	1	0.10	19.11
POSYET	Neotoma	1904	1969	Pos'yet Bay	130.800000	42.633333	Asia	1635	11.0	29.8	-10.3	19.0	107	3486	2	0.58	2.11	0.71	1.78	2	0.71	2.93	0.81	2.42	2	0.84	252.40	0.89	212.17	18.8	20.7	3.1	6.9	619	1179	484	18.8	20.7	149	3486	1	0.12	0.49	2	0.84	214.19	493	3.2	6.8	107	2209	1	0.17	0.93	2	0.87	174.51	437	11.0	28.5	-8.8	16.1	619	1176	2	0.73	1.79	2	0.77	2.01	2	0.60	96.95
PRIYAT	Neotoma	1913	1979	Priyatnoye Lake	151.716667	61.033333	Asia	918	2.0	21.7	-16.1	6.8	136	1199	2	0.49	2.58	0.67	2.08	1	0.72	3.12	0.76	2.87	1	0.73	116.69	0.77	108.35	9.3	14.6	-13.0	-9.2	228	375	418	9.5	14.5	148	1198	2	0.30	1.13	2	0.70	103.43	303	-12.9	-9.5	148	391	1	0.42	0.69	2	0.40	47.81	373	5.3	18.6	-16.1	-6.2	229	374	2	0.56	2.22	1	0.26	1.75	1	0.10	31.69
PURTAZ	Neotoma	1919	1986	Pur-Taz Peatland	79.733333	66.700000	Asia	1727	-2.4	22.3	-18.9	4.8	145	992	2	0.65	2.09	0.73	1.83	2	0.76	2.58	0.82	2.20	2	0.51	102.12	0.72	77.37	10.1	15.6	-11.8	-1.4	237	679	712	10.1	15.5	145	992	2	0.49	1.20	2	0.60	101.67	698	-10.8	-1.4	145	992	1	0.33	2.04	2	0.50	109.21	1545	5.3	22.3	-15.4	4.3	237	673	2	0.66	2.02	2	0.75	2.56	2	0.51	81.70
Rock_Island_Lake	Neotoma	2192	2268	Rock Island Lake	149.500000	62.166667	Asia	920	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.90	1	0.66	113.02	0.72	102.85	12.1	15.5	-11.2	-9.6	297	354	293	12.1	15.4	160	904	1	0.20	0.86	1	0.79	101.52	191	-11.2	-9.7	172	386	1	0.12	0.35	1	0.37	33.19	111	8.1	17.5	-16.0	-8.4	298	349	2	0.69	1.56	1	0.26	1.51	1	0.07	13.55
RYAZANOV	Neotoma	2238	2317	Ryazanovka Exposure	131.366667	42.833333	Asia	1607	11.0	29.8	-10.4	19.0	107	3486	2	0.59	2.07	0.71	1.76	2	0.72	2.86	0.82	2.35	2	0.84	251.27	0.89	210.04	18.3	20.9	2.2	7.9	629	1175	558	18.3	20.9	149	3486	1	0.09	0.64	2	0.86	205.14	701	2.3	7.8	107	2547	2	0.34	1.21	2	0.88	178.14	419	11.0	28.5	-7.3	16.1	630	1174	2	0.74	1.74	2	0.79	1.91	2	0.60	94.45
SELEN1	Neotoma	2276	2358	Selennyakhskaya-1 Exposure	137.822222	69.240278	Asia	914	-2.4	18.6	-18.9	0.1	136	732	2	0.50	2.40	0.69	1.88	1	0.48	2.67	0.58	2.39	2	0.50	85.62	0.62	74.99	10.7	13.8	-13.2	-10.8	179	347	323	10.7	13.8	148	732	2	0.33	0.74	2	0.50	84.02	180	-13.1	-10.9	148	391	1	0.34	0.58	1	0.32	52.82	578	-2.4	18.6	-18.9	-7.5	180	342	1	0.55	2.47	1	0.35	1.57	1	0.14	36.30
SELEN2	Neotoma	2277	2359	Selennyakhskaya-2 Exposure	137.900000	69.293056	Asia	911	-2.4	18.6	-18.9	0.1	136	732	2	0.50	2.40	0.69	1.89	1	0.46	2.67	0.57	2.39	2	0.49	85.78	0.61	75.15	8.7	14.7	-15.0	-10.9	135	307	557	8.7	14.6	148	732	1	0.25	1.38	2	0.55	83.20	441	-14.9	-11.0	136	391	1	0.15	0.99	1	0.23	48.50	604	-2.4	18.6	-18.9	-7.5	136	307	1	0.56	2.54	1	0.33	1.54	1	0.24	38.65
SELEN4	Neotoma	2279	2361	Selennyakhskaya-4 Exposure	138.055556	69.113889	Asia	914	-2.4	18.6	-18.9	0.1	136	732	2	0.50	2.41	0.70	1.88	2	0.55	2.54	0.60	2.39	2	0.53	84.48	0.64	73.88	10.0	13.9	-13.7	-11.6	231	313	422	10.1	13.9	148	732	1	0.25	1.01	2	0.51	80.27	241	-13.6	-11.6	148	391	1	0.20	0.55	1	0.27	48.83	378	5.3	18.6	-16.1	-7.5	232	312	2	0.64	2.19	1	0.45	1.42	1	0.06	20.75
Selitkan-1	Neotoma	2280	2362	Selitkan-1 Exposure	135.050000	53.216667	Asia	1677	7.6	25.5	-16.1	15.7	148	2239	1	0.56	2.12	0.75	1.62	2	0.78	3.44	0.86	2.73	2	0.85	173.19	0.88	154.61	14.5	17.5	-9.5	0.6	279	664	418	14.6	17.4	192	2147	1	0.15	0.84	2	0.89	155.63	451	-9.5	0.6	218	2192	1	0.48	1.79	1	0.46	132.95	785	8.7	25.2	-16.0	10.8	280	663	2	0.72	1.80	2	0.74	2.91	1	0.42	82.47
Selitkan-2	Neotoma	2281	2363	Selitkan-2 Exposure	135.033333	53.216667	Asia	1677	7.6	25.5	-16.1	15.7	148	2239	1	0.56	2.12	0.75	1.62	2	0.78	3.44	0.86	2.73	2	0.85	173.19	0.88	154.61	14.6	17.8	-8.8	-3.1	318	439	527	14.6	17.7	192	2147	1	0.14	0.92	2	0.89	154.93	174	-8.7	-3.2	265	904	1	0.42	1.08	1	0.08	73.55	329	10.1	24.6	-16.0	7.6	319	439	2	0.82	1.54	2	0.82	2.30	1	0.10	32.96
Selitkan-3	Neotoma	2282	2364	Selitkan-3 Exposure	135.066667	53.216667	Asia	1675	7.6	25.5	-16.1	15.7	148	2239	1	0.56	2.12	0.75	1.62	2	0.78	3.44	0.86	2.73	2	0.85	173.28	0.88	154.70	15.0	17.1	-5.3	-1.6	402	572	257	15.0	17.0	192	2147	1	0.08	0.60	2	0.89	156.80	192	-5.3	-1.7	310	1058	1	0.35	0.86	2	0.52	86.33	279	8.7	24.6	-9.2	8.5	403	570	1	0.73	1.99	2	0.78	2.16	1	0.41	37.85
Sergeevskii	Neotoma	2286	2368	Sergeevskii Peat	142.083333	49.233333	Asia	1366	7.6	26.7	-16.1	17.6	215	2549	2	0.59	2.19	0.76	1.67	2	0.81	3.34	0.88	2.64	2	0.85	203.22	0.88	181.08	13.7	19.2	-8.3	6.0	389	960	733	13.7	19.2	232	2547	1	0.27	1.20	2	0.87	169.62	808	-8.1	6.0	215	2192	2	0.70	2.02	2	0.82	155.81	608	8.7	24.6	-11.6	10.0	389	928	1	0.61	2.01	2	0.68	2.24	2	0.69	79.41
Sergeevka_River	Neotoma	2287	2369	Mouth of Sergeevka River	142.083333	49.233333	Asia	1366	7.6	26.7	-16.1	17.6	215	2549	2	0.59	2.19	0.76	1.67	2	0.81	3.34	0.88	2.64	2	0.85	203.22	0.88	181.08	14.1	17.4	-4.8	1.4	462	713	362	14.2	17.4	232	2147	1	0.13	0.89	2	0.88	168.44	350	-4.8	1.4	215	2192	2	0.45	1.17	1	0.54	139.30	257	8.7	24.2	-8.8	10.0	467	711	2	0.58	2.02	1	0.50	2.42	2	0.49	52.89
Seryebryanka_Stream	Neotoma	2289	2371	Seryebryanka Stream Exposure 5822	145.858270	44.050830	Asia	1051	7.6	27.2	-10.2	19.0	342	3421	2	0.68	2.16	0.79	1.76	2	0.81	2.65	0.88	2.12	2	0.81	250.58	0.84	231.48	12.4	18.6	-3.7	4.0	542	991	455	12.5	18.6	378	3192	1	0.32	1.26	2	0.80	200.51	392	-3.6	3.9	395	2192	2	0.64	1.44	2	0.77	139.84	407	8.8	23.0	-7.9	6.8	550	984	1	0.51	1.78	1	0.57	1.68	1	0.18	80.61
SILYAR2	Neotoma	2306	2388	Siluyanov Yar-2 Exposure	137.833333	46.133333	Asia	1685	7.6	27.2	-15.6	19.0	182	3486	2	0.61	2.16	0.77	1.66	2	0.79	3.18	0.88	2.47	2	0.86	238.80	0.90	203.83	13.4	18.9	-11.0	1.9	249	666	689	13.5	18.8	236	3192	1	0.22	1.14	2	0.86	196.83	664	-10.9	1.9	215	2192	1	0.63	2.61	2	0.64	121.65	813	8.7	26.9	-15.6	13.4	250	664	2	0.67	1.95	2	0.74	3.04	2	0.47	82.82
SMOR	Neotoma	2495	2579	Smorodinovoye Lake	141.116667	64.766667	Asia	1060	2.0	21.7	-16.1	3.7	136	1058	2	0.53	2.53	0.69	2.04	1	0.64	3.06	0.71	2.78	1	0.62	106.36	0.70	94.42	6.7	14.1	-15.9	-9.4	149	360	555	6.7	14.0	148	1058	1	0.26	1.54	2	0.62	90.57	691	-15.7	-9.5	136	391	1	0.32	1.45	1	0.22	49.15	690	3.8	18.6	-16.1	-2.1	149	359	1	0.57	2.37	1	0.29	1.68	1	0.20	44.95
Sosednee_Lake	Neotoma	2499	2583	Sosednee Lake	149.500000	62.166667	Asia	920	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.90	1	0.66	113.02	0.72	102.85	8.4	15.5	-15.2	-9.0	152	381	560	8.4	15.5	148	1058	1	0.30	1.61	2	0.72	102.62	558	-15.1	-9.2	136	407	1	0.37	1.40	1	0.29	51.28	599	3.8	18.6	-16.1	-6.2	153	381	1	0.55	2.39	1	0.27	1.77	1	0.24	48.23
STAD	Neotoma	2511	2596	Stadukhinskaya Protoka Channel (Alas section)	159.500000	68.666667	Asia	917	2.0	18.6	-16.1	1.4	109	1058	2	0.54	2.24	0.72	1.75	2	0.41	2.89	0.56	2.50	1	0.29	99.15	0.45	86.97	8.7	14.4	-15.5	-7.0	204	324	562	8.8	14.4	131	1058	1	0.24	1.33	1	0.33	104.24	724	-15.5	-7.1	109	644	1	0.30	1.74	1	0.29	56.38	478	5.3	18.6	-16.1	-3.1	204	324	2	0.60	2.17	2	0.56	1.84	1	0.14	31.51
SUMINSK	Neotoma	2523	2612	Suminskoye Zaimitschye Peat Exposure	80.250000	55.000000	Asia	2127	3.1	34.0	-12.5	15.6	15	992	2	0.53	3.27	0.68	2.68	2	0.61	3.07	0.72	2.58	2	0.69	99.69	0.81	76.83	12.9	16.8	-4.0	0.8	257	528	616	12.9	16.8	56	805	1	0.20	1.08	2	0.72	88.27	744	-4.0	0.7	76	992	1	0.14	1.30	2	0.73	97.50	1074	4.6	28.8	-12.5	13.4	258	528	2	0.68	2.50	1	0.60	2.71	2	0.53	55.72
SUOLLAKH	Neotoma	2525	2614	Suollakh	123.850000	57.050000	Asia	1777	3.8	25.2	-16.1	10.8	107	1391	1	0.58	2.49	0.76	1.88	1	0.78	3.27	0.86	2.59	2	0.76	107.88	0.82	93.07	12.5	16.8	-11.4	-4.1	313	505	462	12.6	16.7	192	1199	1	0.22	1.01	2	0.80	95.28	365	-11.2	-4.2	220	904	1	0.36	1.91	1	0.27	86.08	513	7.8	24.6	-16.0	9.4	313	505	2	0.74	2.02	2	0.79	2.53	1	0.23	48.87
SVERDRUP	Neotoma	2528	2618	Sverdrup	79.457420	74.520900	Asia	963	-2.4	19.0	-18.9	3.8	136	845	2	0.67	1.96	0.77	1.64	2	0.75	2.79	0.84	2.27	2	0.62	89.97	0.81	62.73	6.9	16.8	-13.7	-2.3	245	550	736	6.9	16.7	167	845	1	0.52	1.59	2	0.67	84.18	484	-13.6	-2.3	239	834	2	0.62	2.21	2	0.62	78.77	633	3.8	19.0	-15.4	2.1	249	550	2	0.72	1.72	2	0.73	2.75	2	0.63	57.93
TANON	Neotoma	2537	2627	Tanon River [Quarry Site]	151.200000	59.666667	Asia	988	2.0	22.5	-16.1	8.6	136	1411	2	0.53	2.53	0.68	2.06	2	0.79	3.04	0.81	2.89	1	0.81	127.25	0.84	114.60	8.2	15.2	-16.7	-8.3	96	386	509	8.4	15.1	148	1411	2	0.34	1.40	2	0.74	108.86	593	-16.1	-8.4	136	619	1	0.26	1.68	1	0.24	54.96	597	2.0	18.6	-16.1	-6.2	136	386	1	0.55	2.41	1	0.25	1.77	1	0.25	51.96
TIKHAN	Neotoma	2552	2643	Tikhangou Exposure	132.783333	42.833333	Asia	1588	11.0	28.5	-10.4	19.0	107	3486	2	0.59	2.05	0.71	1.74	2	0.72	2.83	0.82	2.30	2	0.84	251.52	0.89	209.34	13.9	22.3	-4.7	9.7	395	1173	1218	14.0	22.2	107	3486	2	0.40	1.56	2	0.85	224.19	1227	-4.7	9.7	107	3192	2	0.55	2.25	2	0.85	196.17	798	11.0	28.5	-9.2	16.1	396	1168	2	0.62	2.12	2	0.68	2.78	2	0.73	101.32
TOLMACH	Neotoma	2558	2649	Tolmachevsko-Krivodanovskii Peat	84.000000	55.000000	Asia	2130	4.6	34.0	-12.9	15.6	15	992	2	0.54	3.29	0.70	2.64	2	0.62	3.07	0.75	2.52	2	0.69	100.83	0.82	76.46	11.2	21.1	-6.0	3.6	229	588	1585	11.2	21.0	46	992	1	0.38	1.95	2	0.64	97.63	1454	-6.0	3.5	46	992	2	0.45	1.92	2	0.66	98.90	1448	4.6	28.8	-12.9	13.4	230	588	2	0.63	2.50	1	0.58	2.72	2	0.55	71.60
TOM1	Neotoma	2559	2650	Tom' River Peat	84.000000	56.166667	Asia	2133	4.6	34.0	-13.6	15.6	15	992	2	0.56	3.14	0.73	2.49	2	0.66	3.02	0.77	2.47	2	0.65	102.45	0.81	75.95	10.7	20.1	-7.5	1.8	323	613	1558	10.8	20.1	90	992	1	0.44	1.84	2	0.59	100.18	1403	-7.5	1.8	77	992	2	0.45	2.12	2	0.62	100.33	1135	4.6	28.8	-10.8	13.4	323	613	2	0.68	2.19	1	0.61	2.50	1	0.30	69.31
TS	Neotoma	2568	2660	Taloye Lake	152.333333	61.016667	Asia	909	2.0	21.7	-16.1	6.8	136	1198	2	0.49	2.59	0.67	2.08	1	0.71	3.12	0.76	2.87	1	0.72	116.53	0.76	107.38	11.5	16.8	-11.3	-9.2	292	364	427	11.5	16.7	155	1198	1	0.23	1.24	2	0.82	100.48	200	-11.2	-9.5	172	386	1	0.14	0.38	2	0.44	32.72	129	7.4	17.5	-16.0	-8.1	293	359	2	0.71	1.56	1	0.24	1.56	1	0.02	17.09
Ulakhan_Adycha_River	Neotoma	2789	2884	Ulakhan Exposure, Adycha River	135.583333	67.833333	Asia	986	-2.4	20.0	-18.9	0.1	136	1058	2	0.47	2.52	0.68	1.96	1	0.55	2.83	0.63	2.56	1	0.50	96.56	0.64	82.57	7.4	16.1	-14.0	-10.8	230	301	695	7.5	16.1	148	1058	1	0.31	1.71	2	0.58	92.49	308	-13.9	-10.9	148	391	1	0.21	0.80	1	0.26	47.83	345	5.3	18.6	-16.1	-7.5	230	300	2	0.65	2.22	1	0.47	1.46	1	0.19	17.22
UNASCHI	Neotoma	2790	2885	Unaschi Exposure	133.166667	42.950000	Asia	1586	7.6	28.5	-10.4	19.0	107	3486	2	0.59	2.07	0.71	1.75	2	0.73	2.83	0.82	2.29	2	0.84	251.68	0.89	209.68	14.8	18.6	-3.9	2.4	372	684	493	14.9	18.6	251	3192	1	0.18	0.93	2	0.85	209.56	449	-3.8	2.4	197	2192	2	0.52	1.26	2	0.75	115.10	452	12.5	27.5	-9.5	14.2	374	683	2	0.55	2.21	2	0.67	3.02	2	0.49	59.55
Vechernii_River	Neotoma	2807	2904	Vechernii River	147.750000	63.283333	Asia	928	2.0	21.7	-16.1	4.1	136	1058	2	0.50	2.60	0.69	2.05	1	0.66	3.09	0.71	2.84	1	0.65	109.92	0.72	98.12	9.6	19.3	-12.8	-8.9	247	370	756	9.7	19.3	148	1058	2	0.39	2.06	1	0.65	107.94	301	-12.7	-9.0	148	407	1	0.39	0.70	2	0.40	48.99	327	6.7	18.6	-16.1	-7.5	248	369	1	0.54	2.26	1	0.28	1.63	1	0.18	26.75
VENYU1	Neotoma	2808	2905	Venyukovka-1 Exposure	138.583333	47.116667	Asia	1686	7.6	27.2	-16.1	19.0	196	3486	1	0.58	2.24	0.77	1.66	2	0.80	3.30	0.88	2.60	2	0.86	237.79	0.90	204.03	16.3	17.2	-3.5	-0.8	488	650	115	16.4	17.2	278	2209	1	0.06	0.25	2	0.86	222.04	191	-3.4	-0.9	301	1411	1	0.16	0.75	1	0.51	116.64	220	10.5	26.9	-8.8	13.4	488	647	2	0.67	1.91	2	0.72	2.47	1	0.34	38.31
Venyukovka-2	Neotoma	2809	2906	Venyukovka-2 Exposure	138.583333	47.033333	Asia	1687	7.6	27.2	-16.1	19.0	196	3486	1	0.59	2.24	0.78	1.64	2	0.80	3.29	0.88	2.60	2	0.86	238.81	0.90	204.76	16.2	17.6	-4.6	-0.5	436	727	239	16.3	17.5	248	2209	1	0.10	0.36	2	0.89	195.64	257	-4.5	-0.6	291	2192	2	0.35	0.92	1	0.41	146.97	361	8.7	26.9	-8.8	13.4	436	726	2	0.60	2.16	2	0.70	2.45	2	0.52	57.39
Venyukovka-3	Neotoma	2810	2907	Venyukovka-3 Exposure	138.583333	47.116667	Asia	1686	7.6	27.2	-16.1	19.0	196	3486	1	0.58	2.24	0.77	1.66	2	0.80	3.30	0.88	2.60	2	0.86	237.79	0.90	204.03	16.0	17.5	-6.1	-0.2	400	685	247	16.0	17.4	248	2209	1	0.14	0.43	2	0.89	189.88	311	-5.8	-0.3	280	2192	2	0.42	1.11	1	0.43	138.68	402	8.7	26.9	-9.2	13.4	400	685	2	0.71	2.07	2	0.72	2.46	1	0.50	56.86
VOSTOK_neotoma	Neotoma	2823	2920	Vostok Gulf	132.750000	42.900000	Asia	1588	11.0	28.5	-10.4	19.0	107	3486	2	0.59	2.05	0.71	1.74	2	0.72	2.83	0.82	2.30	2	0.84	251.52	0.89	209.34	18.7	20.1	3.3	6.7	816	1119	358	18.7	20.0	197	3486	1	0.08	0.32	2	0.86	196.12	458	3.4	6.7	107	2209	1	0.19	0.85	2	0.87	178.10	111	11.0	28.5	-4.8	16.1	816	1118	2	0.87	1.70	2	0.84	2.11	2	0.45	75.56
Wrangel_Island_wr12	Neotoma	2942	3040	Wrangel Island Exposure 12	-179.750000	71.166667	Asia	1040	2.0	16.5	-16.1	2.1	109	1033	1	0.40	1.90	0.63	1.50	2	0.47	2.98	0.64	2.48	1	0.21	99.77	0.44	84.61	6.5	10.2	-19.1	-11.7	60	339	208	6.6	10.2	112	502	1	0.05	1.06	1	0.37	66.51	349	-16.1	-11.7	109	386	1	0.20	1.02	1	0.21	50.33	786	2.0	16.5	-16.1	-2.4	109	338	1	0.46	1.92	2	0.72	1.76	1	0.20	51.93
DIMA1	Neotoma	672	3077	Kirgirlakh Stream, Berelyekh River Basin	147.983333	62.666667	Asia	921	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.91	1	0.66	113.04	0.72	103.05	10.9	14.3	-13.0	-10.4	231	331	319	10.9	14.2	149	925	2	0.28	0.87	2	0.68	93.01	193	-12.9	-10.5	148	391	2	0.57	0.49	1	0.40	53.67	343	5.3	18.6	-16.1	-7.5	231	329	2	0.58	2.21	1	0.40	1.47	1	0.15	25.49
DIMA2	Neotoma	672	3078	Kirgirlakh Stream, Berelyekh River Basin	147.983333	62.666667	Asia	921	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.91	1	0.66	113.04	0.72	103.05	10.8	14.4	-13.3	-9.8	218	349	330	10.9	14.4	149	925	2	0.30	0.89	2	0.70	92.35	345	-13.3	-9.8	148	391	1	0.41	0.84	1	0.27	50.23	393	5.3	18.6	-16.1	-7.5	219	348	2	0.58	2.33	1	0.33	1.62	1	0.09	31.30
DIMA3	Neotoma	672	3079	Kirgirlakh Stream, Berelyekh River Basin	147.983333	62.666667	Asia	921	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.91	1	0.66	113.04	0.72	103.05	9.9	14.5	-13.8	-10.5	199	326	412	9.9	14.5	148	1058	1	0.21	1.19	2	0.64	100.80	272	-13.8	-10.6	148	391	1	0.31	0.84	1	0.34	52.77	412	5.3	18.6	-16.1	-7.5	201	325	1	0.54	2.42	1	0.39	1.53	1	0.16	31.57
DIMA4	Neotoma	672	3080	Kirgirlakh Stream, Berelyekh River Basin	147.983333	62.666667	Asia	921	2.0	21.7	-16.1	6.2	136	1128	2	0.50	2.61	0.68	2.08	1	0.66	3.13	0.71	2.91	1	0.66	113.04	0.72	103.05	11.7	14.6	-11.9	-11.0	273	303	272	11.7	14.6	155	925	1	0.12	0.85	2	0.75	91.09	46	-11.9	-11.1	149	391	1	0.42	0.19	1	0.34	52.47	107	7.1	18.3	-13.9	-7.5	274	302	1	0.48	2.29	1	0.34	1.20	1	0.14	7.13
OROKESS	Neotoma	1779	3499	Orokess River Mouth Exposure 4036	142.000000	48.850000	Asia	1366	7.6	26.7	-16.1	17.6	215	3192	2	0.59	2.19	0.76	1.68	2	0.81	3.33	0.88	2.65	2	0.85	210.31	0.88	190.16	14.7	20.3	-7.9	6.4	297	966	826	14.7	20.2	236	3192	1	0.24	1.22	2	0.84	189.57	828	-7.6	6.3	215	2192	2	0.70	2.04	2	0.83	157.60	750	8.7	24.6	-16.0	10.0	300	928	1	0.65	1.94	2	0.67	2.79	2	0.73	87.73
STAD2	Neotoma	2511	3776	Stadukhinskaya Protoka Channel (Alas section)	159.500000	68.666667	Asia	917	2.0	18.6	-16.1	1.4	109	1058	2	0.54	2.24	0.72	1.75	2	0.41	2.89	0.56	2.50	1	0.29	99.15	0.45	86.97	9.7	12.9	-11.3	-7.0	259	358	358	9.7	12.8	144	1058	1	0.09	0.82	1	0.35	105.17	318	-11.2	-7.0	130	644	2	0.32	0.79	2	0.51	48.84	288	6.7	18.6	-16.1	-2.4	259	358	2	0.60	2.15	1	0.44	2.05	1	0.10	23.26
ACHIT8	Neotoma	2962	3861	Achit-Nur	90.499750	49.480790	Asia	2339	0.6	34.0	-12.4	15.6	15	992	1	0.52	4.00	0.66	3.36	2	0.48	3.44	0.63	2.93	2	0.63	105.30	0.76	84.72	16.1	20.7	-0.5	3.4	84	317	764	16.1	20.7	27	828	1	0.13	1.11	2	0.72	82.30	699	-0.4	3.4	28	828	1	0.08	0.99	2	0.63	97.98	951	2.0	29.2	-10.9	13.3	85	317	1	0.49	3.97	1	0.55	3.31	1	0.26	52.94
BAIDARA	Neotoma	2994	3898	Baidara	66.900000	68.850000	Asia	1555	-2.4	21.9	-18.9	5.2	167	1362	2	0.71	1.79	0.79	1.52	2	0.67	2.92	0.79	2.31	2	0.42	100.86	0.72	69.07	9.4	18.1	-13.0	3.4	307	690	1132	9.4	18.0	181	1362	1	0.62	1.50	1	0.38	102.81	1350	-12.9	3.3	261	1362	1	0.47	2.68	1	0.28	96.44	1338	3.8	21.6	-12.4	5.2	307	683	2	0.67	1.65	1	0.49	2.64	1	0.35	68.86
BOGUDA	Neotoma	3029	3945	Lake Boguda	123.245590	63.667310	Asia	1227	-2.4	23.8	-18.9	5.2	136	904	1	0.56	2.53	0.72	2.00	1	0.67	3.04	0.76	2.61	1	0.61	93.41	0.72	78.85	13.6	18.8	-10.3	-3.3	292	498	561	13.7	18.8	192	904	1	0.26	1.28	2	0.65	89.41	316	-10.3	-3.3	236	904	2	0.36	1.95	1	0.15	97.08	449	5.7	23.8	-16.0	5.2	292	497	2	0.70	1.95	2	0.66	2.73	1	0.17	59.17
BUGRIST	Neotoma	3038	3956	Bugristoe	85.166667	58.250000	Asia	2119	4.6	34.0	-15.4	15.6	15	992	2	0.56	3.07	0.72	2.45	2	0.67	2.97	0.78	2.43	2	0.61	103.77	0.79	76.04	-0.3	25.1	-19.7	8.4	122	772	2043	4.6	25.1	51	992	1	0.52	2.85	2	0.59	103.01	2064	-15.4	8.3	51	992	2	0.68	2.73	2	0.60	102.77	2027	4.6	28.5	-15.4	11.5	122	772	1	0.57	2.93	2	0.68	2.83	2	0.60	94.82
CHABADA1	Neotoma	346	3975	Chabada Lake	129.377875	61.976835	Asia	1212	2.0	24.4	-16.1	6.5	136	1063	1	0.58	2.56	0.73	2.04	1	0.69	3.25	0.76	2.91	1	0.65	100.63	0.73	88.20	12.0	16.0	-11.6	-6.8	289	426	364	12.1	15.9	160	904	2	0.30	0.90	2	0.79	96.47	255	-11.6	-7.0	158	644	1	0.29	0.84	1	0.26	73.52	344	5.7	24.3	-16.0	6.3	289	426	2	0.73	2.07	2	0.74	2.63	1	0.26	39.47
CHERNOE	Neotoma	3054	3984	Chernoe Lake	106.646530	50.964745	Asia	2519	1.9	34.0	-11.2	15.6	15	992	1	0.50	3.60	0.68	2.88	2	0.62	3.30	0.71	2.90	2	0.56	112.67	0.66	99.67	14.0	17.8	-2.6	-1.0	348	546	691	14.1	17.8	46	828	1	0.10	1.00	2	0.63	96.18	214	-2.6	-1.1	65	689	1	0.05	0.46	1	0.51	94.60	801	4.3	27.5	-10.3	13.9	349	545	2	0.72	2.65	2	0.66	2.66	1	0.31	48.59
CHERNYAR	Neotoma	3055	3985	Cherny Yar	161.000000	56.066667	Asia	748	6.0	21.4	-16.1	6.9	148	1411	2	0.52	2.20	0.68	1.80	2	0.82	2.82	0.85	2.57	2	0.84	121.25	0.88	106.50	11.0	14.2	-12.1	-7.3	242	449	265	11.1	14.1	153	1411	2	0.36	0.78	2	0.78	96.59	223	-12.0	-8.1	149	422	1	0.24	0.71	2	0.41	51.22	292	7.4	18.6	-16.1	-2.6	242	438	2	0.66	1.71	1	0.20	2.40	1	0.36	50.29
DABA8	Neotoma	3076	4010	Daba-Nur	98.762510	48.189240	Asia	2582	1.9	34.0	-10.4	15.6	15	992	1	0.58	3.66	0.73	2.93	1	0.52	3.34	0.67	2.78	1	0.55	115.76	0.71	93.56	11.5	19.3	-2.2	1.5	264	394	1113	11.6	19.2	41	992	1	0.23	1.96	1	0.57	109.34	736	-2.2	1.4	58	858	1	0.10	0.97	1	0.59	96.33	757	1.9	25.9	-10.4	10.3	265	393	2	0.72	2.98	2	0.62	2.55	1	0.06	34.32
DOOD4	Neotoma	3085	4020	Dood-Nur	99.383333	51.333333	Asia	2471	1.9	34.0	-10.4	15.6	15	992	1	0.55	3.59	0.70	2.90	2	0.59	3.13	0.69	2.72	2	0.56	105.12	0.68	89.55	13.5	17.4	-4.0	-0.7	327	446	583	13.5	17.3	46	828	1	0.11	1.02	2	0.64	91.35	594	-4.0	-0.8	65	992	1	0.10	0.93	2	0.56	96.77	561	4.6	27.5	-10.3	13.3	328	445	2	0.74	2.88	2	0.66	2.60	1	0.20	30.60
ERAVNOE	Neotoma	3095	4030	Bol'shoe Eravnoe Lake	111.500500	52.624200	Asia	2340	1.9	34.0	-16.0	15.6	15	992	2	0.52	2.86	0.67	2.36	2	0.67	3.07	0.76	2.62	2	0.68	105.80	0.76	92.45	17.0	19.6	-3.6	-1.7	371	506	794	17.0	19.6	93	866	1	0.28	0.69	2	0.76	94.09	276	-3.5	-1.7	129	992	1	0.11	0.51	2	0.62	107.66	480	6.3	27.5	-9.5	13.3	372	505	2	0.66	2.45	2	0.66	2.57	1	0.21	35.37
GUNNUR	Neotoma	3137	4081	Gun-Nur	106.618800	50.261800	Asia	2567	1.9	34.0	-10.9	15.6	15	992	1	0.53	3.60	0.70	2.90	2	0.60	3.29	0.70	2.90	2	0.56	116.20	0.67	100.91	14.5	19.9	-4.0	0.4	261	450	1051	14.6	19.8	40	864	1	0.10	1.35	2	0.59	96.88	755	-3.9	0.3	65	992	1	0.14	1.17	1	0.47	113.88	1010	1.9	27.5	-10.9	13.3	262	450	2	0.71	2.82	2	0.68	2.77	1	0.14	48.51
HOTON	Neotoma	3149	4097	Hoton-Nur	88.284550	48.672560	Asia	2291	0.6	34.0	-12.4	15.6	15	992	1	0.52	3.99	0.67	3.33	2	0.48	3.44	0.63	2.89	2	0.65	101.97	0.77	82.79	7.3	24.2	-7.9	7.3	-99	671	1913	7.4	24.1	27	992	1	0.49	3.08	2	0.64	101.28	2006	-7.6	7.3	27	992	1	0.35	2.82	2	0.61	101.96	2242	0.6	34.0	-12.4	15.6	15	671	1	0.53	3.99	1	0.43	3.61	2	0.65	93.31
HUBSUGUL_neotoma	Neotoma	3154	4102	Hubsugul	100.226650	50.628600	Asia	2457	1.9	34.0	-10.4	15.6	15	992	1	0.55	3.66	0.71	2.94	2	0.58	3.15	0.69	2.75	1	0.52	117.64	0.70	93.93	13.1	19.0	-4.5	1.5	410	551	909	13.2	18.9	46	828	1	0.20	1.45	2	0.65	93.48	1071	-4.5	1.5	58	992	1	0.19	1.57	1	0.50	113.15	567	4.3	27.5	-8.8	13.9	412	551	2	0.73	2.59	2	0.69	2.72	1	0.15	35.47
KARASEOZ	Neotoma	3182	4138	Karasieozerskoe	60.750000	56.766667	Asia	1948	6.5	31.8	-10.8	16.5	98	1218	2	0.67	2.00	0.74	1.78	1	0.55	2.99	0.70	2.43	2	0.53	92.83	0.70	74.78	14.4	19.9	-3.3	3.0	398	586	1299	14.5	19.9	172	958	2	0.46	0.97	1	0.46	77.82	1012	-3.2	2.9	232	885	1	0.29	1.31	1	0.44	85.43	961	6.8	26.3	-10.8	10.3	398	586	2	0.68	1.63	2	0.64	2.57	1	0.14	48.02
MAKSIMKI	Neotoma	3268	4245	Maksimkin Yar	86.785515	58.695235	Asia	2090	4.6	34.0	-15.4	15.6	15	992	2	0.55	3.06	0.71	2.43	2	0.67	2.96	0.78	2.40	2	0.61	105.12	0.79	76.94	8.0	22.9	-11.5	6.3	303	763	1855	8.3	22.9	58	992	1	0.48	2.32	2	0.60	103.74	1876	-10.8	6.3	58	992	1	0.52	2.62	2	0.61	99.92	1336	4.6	26.3	-12.4	9.6	304	761	2	0.65	2.17	1	0.58	2.47	2	0.40	83.05
NULSAVEI	Neotoma	3324	4316	Nulsaveito	70.166667	67.533333	Asia	1628	-2.4	22.8	-18.9	5.6	167	845	1	0.68	1.89	0.79	1.52	1	0.65	2.99	0.80	2.24	2	0.46	90.90	0.74	63.54	9.4	15.8	-11.3	-1.3	341	571	665	9.4	15.7	181	845	1	0.53	1.23	2	0.62	80.93	418	-10.8	-1.4	270	834	1	0.26	2.39	2	0.49	70.12	959	8.9	22.8	-10.8	5.6	346	569	2	0.72	1.52	2	0.59	2.40	1	0.18	52.39
NUOCHAGA	Neotoma	3325	4317	Lake Nuochaga	129.555840	61.300580	Asia	1249	2.0	24.5	-16.1	6.8	136	1128	2	0.63	2.44	0.74	2.03	2	0.74	3.12	0.77	2.95	1	0.67	105.69	0.75	93.13	14.2	17.8	-10.7	-4.0	338	496	409	14.2	17.8	192	1128	1	0.17	1.05	2	0.76	96.96	266	-10.6	-4.0	236	904	1	0.33	1.90	1	0.24	95.16	238	8.7	24.5	-16.0	6.8	342	494	2	0.77	1.70	2	0.65	2.31	1	0.13	38.35
PETROP	Neotoma	3350	4347	Petropavlovka	82.927095	58.381420	Asia	2133	4.6	34.0	-15.4	15.6	15	992	2	0.56	3.11	0.72	2.47	2	0.66	3.03	0.77	2.47	2	0.61	103.26	0.79	76.18	6.9	22.4	-10.7	4.9	355	720	1891	7.0	22.3	58	992	1	0.50	2.38	2	0.58	103.80	1879	-10.7	4.9	58	992	1	0.55	2.51	2	0.61	98.67	1141	4.6	26.3	-10.8	10.0	355	714	1	0.59	1.97	1	0.62	2.37	1	0.25	71.60
TEGULD	Neotoma	3462	4481	Teguldet	88.166667	57.333333	Asia	2073	4.6	34.0	-15.4	15.6	15	992	2	0.56	3.14	0.73	2.47	2	0.68	3.01	0.79	2.42	2	0.63	105.36	0.80	76.45	14.0	20.5	-5.1	4.6	405	807	1165	14.0	20.4	90	828	2	0.40	1.23	2	0.62	89.79	1332	-5.1	4.5	58	992	1	0.36	1.89	2	0.67	97.24	965	6.8	26.3	-10.8	9.6	407	805	1	0.48	1.84	1	0.61	2.30	1	0.22	78.78
URMIA20	Neotoma	3484	4504	Lake Urmia	45.466667	37.583333	Asia	901	8.6	33.9	-2.2	22.7	51	2121	2	0.40	3.33	0.62	2.67	2	0.60	3.15	0.76	2.47	2	0.54	174.08	0.69	143.10	19.9	24.4	5.9	12.6	224	601	407	20.0	24.4	189	2121	1	0.14	1.00	2	0.56	161.11	364	6.0	12.5	114	1007	2	0.44	1.42	1	0.39	98.70	453	15.0	32.2	1.8	19.2	226	601	1	0.21	2.61	1	0.60	2.66	2	0.39	67.27
USTMASH	Neotoma	3485	4505	Ust'Mashevskoe	57.883333	56.316667	Asia	1934	6.5	31.8	-10.3	17.3	98	2121	2	0.64	2.04	0.77	1.64	2	0.60	2.82	0.73	2.35	2	0.59	104.19	0.70	88.43	13.8	19.2	-5.0	4.6	445	719	1295	13.9	19.1	305	958	1	0.37	1.06	2	0.50	72.34	1299	-4.8	4.6	179	1511	2	0.41	1.62	2	0.66	83.56	1385	8.4	25.1	-9.9	12.8	446	714	2	0.63	1.60	2	0.62	2.53	1	0.33	53.73
ZERIBAR	Neotoma	3521	4548	Lake Zeribar	46.116667	35.533333	Asia	712	8.6	33.9	-2.2	22.7	51	2121	1	0.31	3.49	0.63	2.56	2	0.50	3.23	0.72	2.40	2	0.56	188.47	0.71	154.36	16.9	26.1	2.3	14.3	110	925	532	17.0	26.0	130	2121	1	0.25	1.70	2	0.56	162.46	515	2.9	14.2	98	2121	1	0.48	2.22	2	0.54	162.60	616	8.6	33.9	-2.2	21.3	111	913	1	0.24	3.47	1	0.34	3.38	2	0.53	127.07
HACHI-NU	Neotoma	8578	13079	Hachiman-Numa	140.866667	39.950000	Asia	1148	7.6	27.2	-5.2	19.0	280	3486	2	0.61	2.00	0.70	1.73	2	0.78	2.56	0.85	2.15	2	0.81	273.06	0.86	235.41	16.8	20.2	3.7	9.5	1188	1638	539	16.8	20.2	291	3486	1	0.08	0.94	2	0.83	230.32	428	3.7	9.5	370	3192	1	0.44	1.20	2	0.80	242.88	203	12.8	26.7	-1.4	15.9	1191	1637	2	0.68	1.58	2	0.71	1.96	1	0.22	113.48
Iwaya	Neotoma	9606	14134	Iwaya site	135.886740	35.517630	Asia	1425	11.0	29.8	-4.8	21.9	242	4360	2	0.63	2.18	0.72	1.91	2	0.79	2.71	0.84	2.41	2	0.83	283.26	0.88	242.34	18.0	22.3	3.6	12.3	1003	1757	673	18.1	22.2	242	3486	1	0.17	1.00	2	0.87	244.40	638	3.7	12.3	282	4360	1	0.58	1.67	2	0.79	288.56	346	12.8	29.8	-1.4	20.6	1008	1750	2	0.78	1.81	2	0.75	2.06	1	0.41	154.88
HURLEG	Neotoma	9861	14612	Hurleg Lake	96.900740	37.274460	Asia	2827	-3.0	34.0	-12.4	21.9	15	1832	2	0.57	4.06	0.70	3.40	2	0.63	3.72	0.73	3.22	2	0.78	148.10	0.85	123.78	15.0	22.0	0.1	6.3	35	274	983	15.0	22.0	27	1743	1	0.26	1.71	2	0.83	105.02	1048	0.2	6.3	27	858	1	0.23	1.49	2	0.70	110.46	837	-3.0	31.7	-12.4	14.2	36	274	1	0.40	4.66	1	0.51	3.71	2	0.46	54.17
ZOIGE08C1	Neotoma	9864	14619	Zoige Basin	102.633333	33.450000	Asia	2467	-3.0	34.0	-11.0	25.7	15	2250	2	0.70	3.91	0.80	3.23	2	0.80	3.60	0.85	3.09	2	0.87	180.01	0.92	148.08	-2.1	9.8	-10.0	-1.2	393	552	480	1.9	9.8	43	782	1	0.13	1.48	2	0.59	89.47	498	-10.0	-1.2	43	752	1	0.20	1.67	1	0.51	91.94	440	4.2	27.5	-7.2	13.9	394	551	2	0.82	2.66	1	0.73	2.58	1	0.31	36.76
TIANCHI	Neotoma	9877	14648	Tianchi Lake	106.308840	35.264675	Asia	2694	1.9	34.0	-10.4	25.7	15	4360	2	0.70	3.81	0.80	3.10	2	0.81	3.59	0.87	3.02	2	0.86	227.85	0.92	174.69	11.4	20.9	-0.2	6.5	283	821	1117	11.4	20.9	40	4360	1	0.34	2.44	2	0.84	182.63	937	-0.2	6.4	40	864	1	0.23	1.59	2	0.71	106.45	1367	1.9	27.5	-10.4	20.0	284	820	1	0.67	3.39	1	0.51	3.36	1	0.53	94.81
HACHIHAM	Neotoma	10293	15612	Hachihama	133.950540	34.552260	Asia	1452	11.0	29.8	-4.8	21.9	222	4360	2	0.62	2.18	0.71	1.93	2	0.78	2.80	0.84	2.44	2	0.83	286.44	0.88	241.62	15.8	23.5	1.3	13.6	665	2129	1058	15.8	23.4	222	3486	1	0.26	1.59	2	0.85	249.49	1016	1.3	13.6	222	4360	2	0.61	2.15	2	0.83	263.04	819	11.0	29.8	-4.8	21.9	666	2123	2	0.75	1.98	2	0.84	2.34	2	0.74	228.21
HOSOIKE	Neotoma	10297	15624	Hosoike Moor	134.133333	35.350000	Asia	1536	11.0	29.8	-5.2	21.9	193	4360	2	0.63	2.16	0.72	1.90	2	0.78	2.86	0.85	2.42	2	0.84	280.44	0.88	237.82	17.4	21.8	3.0	9.9	950	1653	783	17.5	21.7	215	3486	1	0.15	1.07	2	0.86	224.96	598	3.1	9.9	193	4360	1	0.45	1.38	2	0.84	240.85	343	12.8	29.8	-1.4	20.6	963	1652	2	0.79	1.84	2	0.79	2.05	1	0.40	146.36
IKENOKOC	Neotoma	10310	15649	Ikenokochi Moor	136.130790	35.653925	Asia	1408	11.0	29.8	-4.8	21.9	248	4360	2	0.63	2.14	0.72	1.88	2	0.80	2.67	0.84	2.37	2	0.83	283.45	0.88	242.56	19.6	22.3	7.5	11.6	1137	1773	377	19.6	22.3	248	3421	1	0.25	0.71	2	0.88	259.89	211	7.5	11.5	377	4360	1	0.27	1.05	2	0.65	392.07	276	12.8	29.8	-1.4	20.6	1138	1772	2	0.70	1.76	2	0.71	2.11	2	0.36	139.86
MAKURA	Neotoma	10318	15665	Makura Moor	132.387500	34.730556	Asia	1598	11.0	29.8	-5.2	21.9	180	4360	2	0.64	2.14	0.72	1.89	2	0.78	2.89	0.85	2.43	2	0.84	279.60	0.89	235.11	18.8	21.3	5.0	8.1	912	1315	526	18.8	21.2	215	3486	1	0.10	0.63	2	0.86	223.29	273	5.0	8.1	193	3192	1	0.15	0.79	2	0.83	237.64	186	13.2	29.0	1.1	20.8	963	1314	1	0.89	1.43	2	0.87	1.50	1	0.34	79.59
OHNUMA	Neotoma	10324	15678	Ohnuma Moor	134.566667	35.408333	Asia	1497	11.0	29.8	-5.2	21.9	215	4360	2	0.63	2.17	0.72	1.91	2	0.79	2.79	0.84	2.43	2	0.83	282.05	0.88	239.40	16.7	21.5	1.8	9.9	1019	1540	826	16.8	21.5	215	3486	1	0.13	1.18	2	0.86	231.99	781	1.8	9.9	217	4360	2	0.50	1.52	2	0.84	228.44	271	12.8	29.8	-1.4	20.6	1023	1539	2	0.81	1.71	2	0.79	1.97	1	0.33	118.70
UBUKA	Neotoma	10335	15704	Ubuka Basin	131.586111	34.490278	Asia	1666	11.0	29.8	-5.2	21.9	156	4360	2	0.64	2.18	0.73	1.87	2	0.77	3.02	0.85	2.45	2	0.83	281.57	0.89	232.99	16.4	21.7	1.6	11.4	912	1655	946	16.5	21.7	185	3486	1	0.15	1.32	2	0.86	229.88	964	1.6	11.3	156	4360	2	0.57	1.72	2	0.84	244.09	411	12.8	29.8	-1.4	21.7	963	1654	2	0.78	1.99	2	0.78	2.28	1	0.43	144.44
YABITSU	Neotoma	10338	15709	Yabitsuyachi	140.900000	40.616667	Asia	1188	7.6	27.2	-5.2	19.0	239	3486	2	0.60	1.98	0.70	1.71	2	0.78	2.57	0.85	2.15	2	0.82	269.97	0.87	231.71	17.4	20.8	2.2	8.6	807	1537	535	17.4	20.7	280	3486	1	0.09	0.89	2	0.83	234.96	528	2.2	8.5	355	3192	1	0.42	1.32	2	0.82	215.46	297	7.6	27.1	-4.8	15.7	808	1521	2	0.68	1.87	2	0.73	2.22	1	0.51	145.88
STLAWR2	Neotoma	11580	17340	St. Lawrence Section 2	-171.547917	63.667222	Asia	840	6.0	16.5	-15.1	6.1	109	2515	2	0.42	1.70	0.58	1.45	2	0.49	2.74	0.69	2.13	1	0.61	147.64	0.78	111.84	7.8	11.1	-16.3	-5.0	168	332	283	7.9	11.1	112	1058	1	0.21	0.85	1	0.35	128.69	659	-15.1	-5.1	109	662	2	0.51	1.80	1	0.30	96.02	431	6.0	16.2	-15.1	-0.7	169	332	2	0.52	1.58	2	0.66	1.83	1	0.28	41.66
STLAWR3	Neotoma	11584	17347	St. Lawrence Island Section 3	-171.581944	63.673889	Asia	840	6.0	16.5	-15.1	6.1	109	2515	2	0.42	1.70	0.58	1.45	2	0.49	2.74	0.69	2.13	1	0.61	147.64	0.78	111.84	8.2	10.6	-15.8	-6.5	167	297	180	8.2	10.5	112	1058	1	0.07	0.73	1	0.29	146.83	506	-15.1	-6.6	109	502	1	0.47	1.42	1	0.44	57.51	371	6.0	16.2	-15.1	-0.7	168	297	1	0.47	1.62	2	0.62	1.82	1	0.18	36.21
Naskak_neotoma	Neotoma	12999	19264	Naskak_neotoma	-171.454010	63.641012	Asia	838	6.0	16.5	-15.1	6.1	109	2515	2	0.42	1.70	0.58	1.45	2	0.49	2.73	0.69	2.13	1	0.61	147.81	0.78	111.80	7.7	11.6	-19.7	-4.3	99	346	340	7.8	11.5	112	1058	1	0.18	0.95	1	0.31	124.43	691	-15.1	-4.4	109	662	2	0.52	1.87	1	0.29	95.01	585	6.0	16.5	-15.1	-0.7	109	346	2	0.52	1.62	2	0.65	1.80	2	0.36	50.40
AGHNAGHA	Neotoma	13000	19266	Aghnaghak	-171.553815	63.656005	Asia	840	6.0	16.5	-15.1	6.1	109	2515	2	0.42	1.70	0.58	1.45	2	0.49	2.74	0.69	2.13	1	0.61	147.64	0.78	111.84	8.1	10.7	-15.8	-6.5	169	297	189	8.2	10.6	112	1058	1	0.05	0.76	1	0.29	147.12	506	-15.1	-6.6	109	502	1	0.47	1.42	1	0.44	57.51	364	6.0	16.2	-15.1	-0.7	169	296	2	0.53	1.52	2	0.63	1.81	1	0.18	35.78
LAHI	Neotoma	13454	20188	Lake Hill	-170.248270	57.178240	Asia	577	6.0	16.5	-13.3	6.1	109	2515	2	0.46	1.79	0.63	1.50	2	0.55	2.53	0.65	2.22	1	0.69	146.16	0.79	134.59	7.2	12.6	-13.2	9.9	150	368	346	7.2	12.6	112	2515	1	0.16	1.36	2	0.82	138.81	573	-12.9	6.1	109	2515	2	0.55	2.53	1	0.69	146.49	426	6.0	16.5	-13.3	-2.3	151	367	2	0.54	1.64	2	0.67	1.72	1	0.41	50.89
KAKITU1	Neotoma	15804	24294	Kakitu Mountain	96.466667	38.050000	Asia	2822	-3.0	34.0	-12.4	21.2	15	1832	2	0.57	4.03	0.70	3.37	2	0.62	3.68	0.72	3.19	2	0.78	143.90	0.85	120.06	3.6	9.0	-6.5	-3.1	318	433	421	4.2	8.9	37	782	1	0.12	1.22	2	0.60	97.67	419	-6.5	-3.2	37	992	1	0.11	0.92	2	0.51	118.05	587	1.9	27.4	-10.4	13.1	318	431	2	0.73	2.84	2	0.64	2.50	1	0.20	32.14
CS98-10	Neotoma	16712	26563	Cape Shpindler	62.800000	69.716667	Asia	1609	-2.4	21.6	-18.9	5.6	167	1843	2	0.70	1.78	0.79	1.51	2	0.66	3.00	0.78	2.40	1	0.28	125.18	0.68	83.25	6.9	15.7	-11.9	-1.3	238	562	741	7.0	15.6	167	1843	1	0.51	1.40	1	0.33	153.37	426	-10.8	-1.4	270	834	1	0.26	2.36	2	0.49	69.44	953	3.8	21.6	-15.4	5.6	244	561	2	0.76	1.67	2	0.70	2.76	1	0.45	61.59
Lyadhej-To	Neotoma	16713	26565	Lyadhej-To lake	65.791110	68.246555	Asia	1644	-2.4	22.8	-18.9	5.6	167	1402	1	0.68	1.90	0.80	1.50	2	0.68	2.92	0.80	2.31	2	0.43	101.62	0.72	70.24	10.6	15.9	-10.1	-0.2	289	682	617	10.7	15.8	187	1402	1	0.49	1.07	1	0.32	112.85	596	-10.1	-0.3	270	865	1	0.37	2.43	1	0.39	73.09	1431	3.8	22.8	-15.4	5.6	293	681	2	0.69	1.70	1	0.52	2.76	2	0.43	67.57
KNS11B	Neotoma	17917	30184	Kanas Lake	87.072250	48.802645	Asia	2237	0.6	34.0	-12.4	15.6	15	992	1	0.52	3.98	0.66	3.33	2	0.48	3.43	0.63	2.88	2	0.66	99.63	0.79	79.04	10.9	15.2	-3.9	-0.3	220	373	488	10.9	15.1	28	992	1	0.08	1.09	2	0.64	114.55	636	-3.8	-0.4	30	992	1	0.10	1.00	2	0.62	96.07	716	1.9	28.8	-10.4	13.4	220	372	1	0.53	3.62	1	0.44	3.15	1	0.13	38.43
KTK1	Neotoma	23692	40990	Lake Kotokel	108.133333	52.783333	Asia	2263	1.9	34.0	-16.0	15.6	15	992	1	0.45	3.53	0.66	2.78	2	0.65	3.23	0.74	2.81	2	0.55	107.72	0.66	93.37	9.7	18.1	-9.9	0.4	230	574	1099	9.8	18.0	46	992	1	0.24	2.06	2	0.51	111.22	1063	-9.9	0.4	65	992	1	0.30	2.12	2	0.50	104.26	1633	1.9	27.5	-16.0	13.9	231	574	2	0.60	2.84	2	0.67	3.08	1	0.32	82.17
Baikal_Lake-CON01-603-5	Neotoma	23696	40997	Lake Baikal	108.913611	53.954722	Asia	2123	5.4	34.0	-16.0	15.6	15	992	2	0.55	2.91	0.69	2.42	2	0.71	3.02	0.78	2.66	2	0.57	106.28	0.68	92.38	11.0	21.0	-10.4	1.4	207	509	1561	11.0	21.0	46	992	1	0.31	2.22	2	0.52	107.04	1207	-10.4	1.4	82	992	2	0.46	2.37	2	0.51	104.99	1411	5.6	27.5	-16.0	13.3	207	508	2	0.57	2.65	2	0.74	2.88	1	0.31	71.03
PG1756	Neotoma	23749	41098	Lake Billyakh	126.769945	65.289100	Asia	1159	-2.4	21.8	-18.9	2.2	136	904	1	0.55	2.52	0.74	1.91	2	0.70	2.77	0.77	2.42	1	0.60	92.52	0.73	76.84	9.4	15.7	-15.6	-7.7	149	456	612	9.5	15.7	148	904	1	0.29	1.44	2	0.66	86.51	744	-15.6	-7.9	136	619	1	0.38	1.54	1	0.31	66.97	883	-2.4	21.8	-18.9	1.2	151	454	2	0.62	2.36	2	0.63	2.59	1	0.24	66.31
PG1755	Neotoma	23749	41138	Lake Billyakh	126.769945	65.289100	Asia	1159	-2.4	21.8	-18.9	2.2	136	904	1	0.55	2.52	0.74	1.91	2	0.70	2.77	0.77	2.42	1	0.60	92.52	0.73	76.84	8.0	15.8	-18.7	-7.2	125	447	690	8.0	15.8	148	904	2	0.39	1.58	2	0.68	84.69	767	-16.1	-7.2	136	644	1	0.40	1.61	1	0.33	69.65	879	-2.4	21.8	-18.9	1.2	136	445	2	0.62	2.39	2	0.63	2.57	1	0.24	64.98
NOVO-USP	Neotoma	23800	41235	Novo-Uspenka	84.166667	56.616667	Asia	2115	4.6	34.0	-13.6	15.6	15	992	2	0.55	3.13	0.72	2.47	2	0.65	3.01	0.76	2.46	2	0.64	102.77	0.80	76.36	11.5	21.5	-8.2	5.5	345	714	1593	11.5	21.5	90	992	1	0.40	1.93	2	0.60	99.96	1797	-8.1	5.5	58	992	1	0.51	2.42	2	0.63	98.02	1158	4.6	26.3	-10.8	10.0	346	711	1	0.57	2.11	1	0.60	2.45	1	0.24	74.53
NIZHNIVA	Neotoma	23801	41237	Nizhnevartovsk	76.666667	62.000000	Asia	1816	5.6	29.2	-15.4	10.0	77	992	1	0.62	2.39	0.74	1.97	1	0.72	2.67	0.82	2.17	2	0.59	103.17	0.77	76.72	9.0	18.0	-10.8	0.7	248	593	1176	9.0	17.9	103	992	1	0.46	1.87	2	0.61	104.85	1060	-10.8	0.7	90	992	1	0.45	2.25	2	0.62	101.68	1291	5.6	25.0	-15.4	9.1	248	593	2	0.69	1.98	1	0.72	2.57	1	0.41	76.82
BAYANCH	Neotoma	23805	41245	Lake Bayanchagan	115.225425	41.632845	Asia	2482	1.9	29.8	-10.4	21.9	35	3486	2	0.66	3.27	0.77	2.72	2	0.77	3.24	0.84	2.77	2	0.86	239.94	0.92	183.95	14.6	22.3	-0.3	5.4	121	836	1280	14.7	22.2	35	3486	1	0.19	1.80	2	0.88	207.98	921	-0.2	5.3	46	1437	1	0.14	1.34	2	0.80	105.76	1765	1.9	27.5	-10.4	14.2	122	830	1	0.60	3.17	2	0.52	2.91	2	0.70	101.81
TIANCHIYL	Neotoma	23806	41247	Lake Tianchi	99.279740	25.870850	Asia	1610	-3.0	29.8	-12.4	25.7	28	2250	2	0.77	3.66	0.83	3.16	2	0.84	3.49	0.87	3.07	2	0.88	194.42	0.91	165.33	13.4	20.5	4.0	13.2	661	1143	296	13.5	20.4	40	2250	1	0.24	1.75	1	0.80	141.28	416	4.0	13.1	28	2250	1	0.43	1.68	2	0.87	121.39	286	6.2	28.3	-3.4	20.0	661	1141	2	0.76	3.09	1	0.71	3.33	2	0.83	65.61
K7/P2	Neotoma	23809	41252	Dyanushka K7P2	125.036944	65.039444	Asia	1172	-2.4	21.8	-18.9	1.9	136	904	1	0.55	2.51	0.74	1.90	1	0.66	3.00	0.77	2.46	1	0.60	92.12	0.74	74.54	10.8	15.0	-13.8	-8.3	226	434	444	10.9	15.0	149	904	2	0.27	1.04	2	0.66	88.98	495	-13.8	-8.7	148	619	1	0.46	1.09	1	0.32	66.57	658	5.3	21.8	-16.1	1.2	227	431	2	0.63	2.30	2	0.67	2.62	1	0.17	52.08
FADEYEVS	Neotoma	23811	41262	Faddeyevskiy	143.833333	75.333333	Asia	876	-2.4	18.6	-18.9	-2.6	109	550	1	0.49	2.45	0.71	1.86	1	0.23	2.48	0.43	2.14	1	0.22	77.22	0.55	58.75	8.0	10.0	-14.1	-13.0	191	235	101	8.0	9.9	130	502	1	0.09	0.53	1	0.43	63.34	184	-14.0	-13.0	151	329	1	0.15	0.30	1	0.36	37.02	143	6.0	15.5	-16.0	-5.5	192	234	1	0.53	1.96	2	0.51	1.37	1	0.32	11.62
Nikolay	Neotoma	23812	41264	Nikolay Lake	124.200000	73.333333	Asia	926	-2.4	18.6	-18.9	-2.6	136	644	1	0.48	2.44	0.67	1.94	1	0.34	2.37	0.51	2.07	1	0.34	81.96	0.56	67.23	6.4	15.0	-14.0	-8.5	188	440	652	6.5	15.0	148	619	1	0.32	1.71	1	0.40	78.82	547	-13.9	-8.7	148	619	1	0.43	1.15	1	0.30	65.56	698	5.3	18.6	-16.1	-2.6	192	438	1	0.52	2.33	1	0.29	2.24	1	0.20	56.16
Barbarina_Tumsa	Neotoma	23875	41397	Barbarina Tumsa	123.350000	73.566667	Asia	926	-2.4	18.6	-18.9	-2.6	136	644	1	0.48	2.43	0.67	1.93	1	0.35	2.35	0.52	2.03	1	0.35	81.46	0.57	66.12	5.2	11.7	-15.9	-10.0	172	390	367	5.3	11.7	148	496	1	0.32	1.40	1	0.42	62.72	676	-15.7	-10.0	136	497	1	0.32	1.41	1	0.24	52.40	694	-2.4	18.6	-18.9	-6.2	173	389	1	0.52	2.43	1	0.31	1.74	1	0.19	47.21
TMGM2	Neotoma	24173	42417	Gomishan	54.056667	37.151667	Asia	704	3.1	33.9	-9.5	22.7	45	2121	2	0.41	4.02	0.66	3.03	2	0.60	3.93	0.78	2.99	2	0.64	192.28	0.80	142.72	19.1	25.2	6.1	12.4	292	819	321	19.1	25.1	83	2121	1	0.32	1.39	2	0.71	171.40	200	6.2	12.3	77	1007	1	0.18	1.66	1	0.62	131.32	429	8.1	32.2	-5.1	19.2	294	815	2	0.46	3.01	2	0.68	2.81	2	0.46	96.58
ALMALOU3	Neotoma	24175	42421	Lake Almalou	46.631944	37.665278	Asia	876	8.6	33.9	-2.2	22.7	51	2121	2	0.39	3.19	0.64	2.44	2	0.60	3.10	0.79	2.28	2	0.57	173.83	0.72	140.28	10.1	24.6	-0.4	11.7	365	1019	714	11.0	24.6	179	2121	2	0.53	1.91	2	0.53	154.28	570	0.1	11.7	114	1511	2	0.61	1.97	2	0.63	112.82	694	8.6	30.9	-2.2	19.3	367	1019	2	0.44	2.47	2	0.67	2.43	2	0.49	97.71
MAHARLOU	Neotoma	24179	42539	Maharlou Lake	52.759722	29.477222	Asia	346	8.6	33.9	-2.2	22.7	51	2121	2	0.49	4.01	0.74	2.84	2	0.59	3.48	0.79	2.48	2	0.66	223.35	0.77	183.48	19.8	26.0	9.7	15.7	274	854	153	19.8	25.9	130	2121	1	0.26	1.47	2	0.67	219.85	159	9.7	15.6	98	2121	1	0.40	1.43	2	0.60	237.92	172	13.9	32.2	2.9	19.2	284	852	1	0.48	3.56	1	0.49	2.96	1	0.33	115.93
GS18	Neotoma	26016	45092	GS18	51.101111	41.548056	Asia	1226	8.6	33.9	-3.4	22.7	51	2121	2	0.46	2.97	0.71	2.19	2	0.71	3.00	0.85	2.14	2	0.54	163.21	0.73	125.94	16.4	27.1	4.0	12.0	-32	711	1007	16.5	27.0	114	2121	2	0.56	1.70	2	0.57	142.19	502	4.1	11.9	114	1007	2	0.61	1.64	2	0.60	95.28	1002	9.7	33.9	-3.4	22.7	51	705	2	0.46	2.87	2	0.69	2.93	2	0.54	104.19
LL13	Neotoma	26026	45111	Langarud	50.147500	37.185556	Asia	766	8.6	33.9	-2.2	22.7	51	2121	1	0.32	3.47	0.67	2.40	2	0.58	3.28	0.79	2.34	2	0.57	187.62	0.74	145.99	9.1	25.9	-2.4	13.7	185	1801	641	11.0	25.9	130	2121	1	0.45	2.23	2	0.58	171.45	554	-2.2	13.7	98	1511	2	0.61	2.37	2	0.61	137.96	694	8.6	32.8	-2.2	19.9	186	1511	1	0.30	3.16	2	0.60	2.99	2	0.55	163.06
KBG801	Neotoma	26043	45164	Kara-Bogaz Gol	53.250000	41.850000	Asia	1258	3.1	33.9	-9.5	21.3	53	2121	2	0.38	3.26	0.63	2.50	2	0.65	3.21	0.79	2.49	2	0.57	163.75	0.75	122.89	19.2	26.2	4.8	12.2	175	659	531	19.2	26.2	77	2121	2	0.33	1.49	2	0.67	160.51	402	4.9	12.2	77	1007	1	0.51	1.64	2	0.65	107.43	868	8.1	33.9	-5.1	21.3	175	658	2	0.44	2.49	2	0.68	2.54	2	0.49	83.90
BAIKA2	Neotoma	26562	46449	Baika	46.755130	61.268400	Asia	2014	6.5	27.4	-10.3	12.3	130	1870	2	0.67	1.77	0.79	1.41	2	0.59	2.64	0.71	2.21	1	0.29	135.66	0.60	102.66	13.5	19.2	-2.2	4.5	548	684	1367	13.5	19.1	314	1554	2	0.45	1.04	1	0.41	83.81	1193	-2.1	4.4	179	1804	2	0.43	1.27	2	0.46	120.75	883	8.4	19.9	-8.3	8.3	549	683	2	0.58	1.51	2	0.68	2.09	1	0.18	31.18
KHARINEI	Neotoma	26581	46488	Lake Kharinei	62.750000	67.366667	Asia	1766	-2.4	24.3	-18.9	6.7	167	1435	1	0.67	1.90	0.80	1.50	2	0.68	2.93	0.80	2.34	1	0.35	115.63	0.73	73.74	10.9	16.3	-7.5	1.4	350	667	713	11.0	16.3	187	1435	1	0.54	1.09	1	0.31	123.38	845	-7.4	1.3	325	921	1	0.37	2.03	1	0.31	78.98	1398	4.2	22.8	-10.8	6.2	351	666	2	0.66	1.64	1	0.50	2.71	1	0.34	63.30
Khorpiya	Neotoma	26583	46492	Khorpyia	60.050000	61.033333	Asia	1878	6.5	28.8	-12.5	12.3	114	834	2	0.66	1.79	0.76	1.51	2	0.56	2.71	0.69	2.26	2	0.51	83.12	0.69	66.46	12.4	20.0	-4.5	4.4	510	708	1536	12.4	20.0	297	834	2	0.53	1.31	1	0.37	77.75	1283	-4.3	4.4	179	834	2	0.40	1.54	2	0.53	73.99	1092	8.4	22.9	-9.0	9.4	510	707	2	0.55	1.58	2	0.58	2.25	1	0.35	40.49
KHARTYM	Neotoma	26588	46512	Man'inskii Khartym	60.900000	64.383333	Asia	1921	-2.4	26.7	-18.9	9.2	151	1362	1	0.65	1.91	0.78	1.51	1	0.61	3.11	0.78	2.31	1	0.41	99.50	0.71	69.67	8.5	29.3	-12.3	12.5	55	659	1893	8.8	26.7	151	1362	2	0.70	1.66	1	0.40	98.65	1822	-10.8	9.2	151	1362	2	0.53	2.67	1	0.39	92.42	1717	-2.4	26.7	-18.9	9.2	151	658	1	0.66	1.94	1	0.62	3.12	2	0.52	77.31
MOKHOVOE	Neotoma	1704	46523	Mokhovoye	64.250000	53.766667	Asia	1966	5.6	31.8	-9.2	17.5	40	1019	2	0.57	2.70	0.65	2.42	2	0.61	3.02	0.70	2.63	2	0.58	108.66	0.73	87.09	14.0	20.6	-3.0	3.5	291	508	1291	14.1	20.6	53	958	2	0.44	1.15	2	0.55	81.58	996	-2.8	3.5	56	885	1	0.34	1.34	2	0.64	85.05	715	5.6	28.8	-9.2	13.4	292	507	1	0.62	2.38	2	0.64	2.69	1	0.31	53.55
KARAKOL	Neotoma	27070	47663	Karakol	77.392500	42.838889	Asia	2022	-3.0	34.0	-12.4	17.3	15	992	1	0.51	4.12	0.67	3.38	1	0.43	3.61	0.63	2.89	2	0.69	102.05	0.81	79.00	5.3	13.7	-5.3	-0.6	195	351	711	5.3	13.7	30	992	1	0.32	1.98	2	0.58	111.71	635	-5.2	-0.6	30	992	1	0.14	1.29	2	0.66	104.86	609	-3.0	28.8	-11.0	16.8	195	351	1	0.55	3.78	1	0.41	3.48	1	0.11	41.88
KICHIKOL	Neotoma	27072	47669	Kichikol	73.551930	39.987670	Asia	1606	-3.0	34.0	-12.4	18.2	15	828	1	0.50	4.34	0.66	3.59	1	0.42	3.85	0.63	3.09	1	0.63	109.13	0.81	77.97	7.1	15.2	-7.6	0.9	183	252	563	7.2	15.2	28	772	1	0.37	1.70	1	0.64	113.65	825	-7.6	0.8	30	772	2	0.34	2.00	1	0.58	112.21	166	-3.0	29.0	-11.0	17.5	183	252	2	0.72	3.39	2	0.64	3.40	1	0.14	18.27
BAKALY_neotoma	Neotoma	27073	47671	Bakaly	71.960080	41.867340	Asia	1648	-3.0	34.0	-12.4	18.2	15	1158	2	0.50	4.10	0.67	3.36	2	0.52	3.59	0.67	2.99	2	0.70	111.18	0.84	82.54	7.7	16.7	-7.9	1.9	43	310	593	7.7	16.7	28	772	2	0.40	1.87	1	0.72	107.68	996	-7.6	1.8	28	772	2	0.51	1.95	2	0.70	96.07	596	-3.0	31.8	-12.4	18.2	45	309	2	0.57	4.64	2	0.57	4.08	1	0.43	58.43
NIZHNEE	Neotoma	27074	47673	Nizhnee	72.963990	41.309350	Asia	1686	-3.0	34.0	-12.4	18.2	15	992	1	0.48	4.24	0.66	3.45	1	0.42	3.74	0.63	3.01	2	0.68	105.61	0.80	83.15	7.9	15.4	-4.8	1.4	-13	297	535	8.1	15.3	28	992	2	0.44	1.51	2	0.75	105.42	742	-4.7	1.3	28	992	2	0.36	1.43	2	0.71	103.02	706	-3.0	34.0	-12.4	18.2	15	297	2	0.56	4.72	2	0.58	4.14	2	0.59	55.56
VERKHNEE	Neotoma	27081	47681	Verkhnee	72.957620	41.309120	Asia	1686	-3.0	34.0	-12.4	18.2	15	992	1	0.48	4.24	0.66	3.45	1	0.42	3.74	0.63	3.01	1	0.64	111.80	0.80	83.15	6.5	25.0	-8.3	8.4	36	302	1430	6.5	24.9	27	992	1	0.43	3.26	1	0.64	109.70	1525	-8.2	8.3	27	992	1	0.44	2.75	1	0.62	109.75	651	-3.0	31.8	-12.4	18.2	36	302	2	0.56	4.72	2	0.56	4.13	1	0.49	58.15
AKTEREK	Neotoma	27082	47683	Ak Terek	72.834310	41.281500	Asia	1684	-3.0	34.0	-12.4	18.2	15	1158	1	0.49	4.25	0.67	3.42	1	0.46	3.74	0.66	2.98	2	0.70	108.72	0.83	81.47	8.8	16.2	-3.6	1.4	110	400	558	8.8	16.1	28	992	2	0.44	1.57	2	0.74	104.51	645	-3.5	1.4	28	720	1	0.26	1.22	2	0.74	91.72	780	-3.0	31.8	-11.0	18.2	110	400	1	0.63	4.12	1	0.57	3.57	1	0.35	65.99
ORTOK_neotoma	Neotoma	27083	47685	Ortok	73.264520	41.245650	Asia	1700	-3.0	34.0	-12.4	18.2	15	992	1	0.49	4.24	0.66	3.48	1	0.42	3.74	0.63	3.01	1	0.63	112.33	0.80	83.38	10.2	16.0	-3.6	0.5	117	281	436	10.3	15.9	28	992	1	0.18	1.41	1	0.73	117.47	481	-3.6	0.4	30	992	1	0.17	1.09	1	0.65	113.13	393	-3.0	31.8	-11.0	17.5	118	280	2	0.68	3.92	1	0.60	3.67	1	0.29	39.37
WENQUAN1	Neotoma	27156	47817	Wenquan wetland	81.031340	44.973730	Asia	2319	-3.0	34.0	-12.4	15.6	15	992	1	0.53	3.98	0.68	3.29	1	0.43	3.47	0.62	2.83	2	0.66	103.02	0.79	80.39	8.5	19.4	-3.1	5.3	14	362	1535	8.5	19.4	27	992	2	0.52	2.22	1	0.60	110.12	1466	-3.1	5.3	28	992	1	0.32	1.69	1	0.63	100.96	1260	-3.0	34.0	-12.4	15.6	15	361	2	0.50	4.66	1	0.47	4.09	1	0.48	74.17
CHAOCH1	Cao et al.	1	100001	Chaohu Lake CH1	117.394333	31.562333	Asia	2368	4.2	29.8	-7.2	25.7	35	4360	2	0.71	3.30	0.81	2.68	2	0.82	3.24	0.87	2.77	2	0.84	273.06	0.90	218.03	18.2	22.5	6.6	13.5	677	1443	808	18.2	22.5	103	3486	1	0.21	1.05	2	0.90	224.11	485	6.7	13.4	35	4360	2	0.45	1.46	2	0.85	312.79	584	6.2	29.8	-3.4	25.1	678	1437	2	0.75	2.83	2	0.79	2.85	2	0.75	108.09
LONGGAN	Cao et al.	2	100002	Longgan Lake	116.116667	29.966667	Asia	2073	4.2	29.8	-7.2	25.7	35	4360	2	0.73	3.39	0.81	2.80	2	0.83	3.19	0.88	2.78	2	0.84	281.67	0.90	220.36	17.3	25.5	5.8	14.7	557	1348	972	17.4	25.4	41	3486	1	0.24	1.77	2	0.90	260.25	574	5.9	14.6	35	4360	2	0.49	1.80	2	0.85	303.41	580	4.2	29.3	-3.8	25.1	560	1347	2	0.75	3.30	2	0.77	3.04	2	0.80	97.98
DONGGAN	Cao et al.	3	100003	Dongganchi	115.783333	39.533333	Asia	2595	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.29	0.78	2.73	2	0.79	3.31	0.85	2.86	5	0.86	252.45	0.90	207.60	4.1	28.9	-6.3	11.6	-185	1040	2566	4.2	28.8	35	4360	2	0.68	3.24	5	0.86	250.16	1988	-6.2	11.6	35	4360	2	0.58	2.69	2	0.81	203.40	1926	1.9	28.4	-10.4	20.0	35	1031	1	0.60	3.26	2	0.56	2.98	2	0.76	106.27
FENZHU	Cao et al.	4	100004	Fenzhuang	115.900000	39.566667	Asia	2599	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.28	0.78	2.73	2	0.79	3.31	0.85	2.86	2	0.85	255.79	0.90	208.45	10.4	24.3	-4.7	8.3	-15	852	1898	10.4	24.2	35	4360	2	0.46	2.68	2	0.86	235.08	1697	-4.6	8.2	35	3192	2	0.47	2.40	2	0.82	155.89	1853	1.9	27.5	-10.4	20.0	35	851	1	0.60	3.22	2	0.52	2.95	2	0.74	103.40
MAWEI32	Cao et al.	5	100005	Mawei ZK32	119.633333	26.050000	Asia	1581	6.1	29.8	-3.4	25.7	150	4360	2	0.66	3.18	0.76	2.67	2	0.81	3.12	0.86	2.73	2	0.81	309.16	0.88	242.99	18.5	26.5	9.2	17.0	923	1739	882	18.6	26.4	150	3486	2	0.49	1.60	2	0.89	264.85	460	9.3	17.0	189	4360	1	0.44	1.62	2	0.77	326.61	437	12.8	29.8	4.7	25.7	929	1738	2	0.66	2.24	2	0.76	2.30	2	0.61	161.08
DADIWAN07	Cao et al.	6	100006	Dadiwan_2007	105.914833	35.000000	Asia	2682	-3.0	34.0	-11.0	25.7	15	4360	2	0.70	3.83	0.80	3.12	2	0.81	3.59	0.87	3.02	2	0.86	228.50	0.92	175.07	12.3	24.8	-1.1	12.5	-14	1869	1439	12.4	24.7	35	4360	2	0.38	2.58	2	0.88	215.80	1540	-1.1	12.4	28	4360	1	0.47	2.53	2	0.81	177.01	2499	-3.0	34.0	-11.0	25.7	15	1863	2	0.69	3.88	2	0.78	3.62	2	0.87	167.98
DADIWAN08	Cao et al.	7	100007	Dadiwan_2008	105.914667	35.013000	Asia	2682	-3.0	34.0	-11.0	25.7	15	4360	2	0.70	3.83	0.80	3.12	2	0.81	3.59	0.87	3.02	2	0.86	228.50	0.92	175.07	10.6	27.0	-0.8	12.5	-81	1744	1862	10.6	26.9	28	4360	2	0.56	3.02	2	0.87	221.26	1471	-0.7	12.4	28	4360	1	0.46	2.49	2	0.81	180.28	2427	-3.0	34.0	-11.0	25.7	15	1743	2	0.68	3.87	2	0.76	3.61	2	0.86	156.97
DINGXI	Cao et al.	8	100008	Dingxi	104.609333	35.548167	Asia	2647	-3.0	34.0	-11.0	25.7	15	2250	2	0.70	3.86	0.80	3.18	2	0.80	3.62	0.86	3.05	2	0.88	178.57	0.92	144.58	13.4	24.0	1.5	8.3	204	836	1204	13.4	23.9	35	2250	2	0.35	2.33	2	0.89	132.80	834	1.5	8.2	35	929	1	0.28	1.66	2	0.74	97.06	1704	-3.0	27.5	-11.0	20.0	204	834	1	0.63	3.53	1	0.49	3.39	1	0.57	102.14
LANZHOU	Cao et al.	11	100011	Lanzhou	103.850000	36.066667	Asia	2704	-3.0	34.0	-11.0	25.1	15	2250	2	0.69	3.86	0.79	3.20	2	0.79	3.68	0.85	3.10	2	0.87	177.95	0.91	146.06	17.7	26.7	1.7	9.0	62	267	1084	17.7	26.6	28	2250	2	0.50	1.78	2	0.92	156.46	907	1.7	9.0	35	929	1	0.31	1.83	2	0.76	98.86	590	-3.0	29.2	-11.0	11.8	64	266	1	0.46	3.92	1	0.57	3.02	1	0.21	47.05
MAYING	Cao et al.	12	100012	Maying	104.989833	35.338333	Asia	2728	-3.0	34.0	-11.0	25.7	15	2852	2	0.70	3.83	0.80	3.14	2	0.80	3.58	0.86	3.03	2	0.87	221.43	0.93	161.35	13.4	17.8	1.4	6.2	398	703	412	13.4	17.8	46	2209	1	0.16	1.17	2	0.88	148.74	661	1.5	6.1	40	851	1	0.20	1.18	2	0.74	98.41	702	4.2	27.5	-7.2	14.2	398	702	1	0.71	3.30	1	0.62	2.91	1	0.29	73.19
SANJIAO	Cao et al.	13	100013	Sanjiaocheng	103.337500	39.006333	Asia	2947	-3.0	34.0	-11.0	22.2	15	2250	2	0.65	3.75	0.76	3.10	2	0.72	3.55	0.81	3.01	1	0.81	163.52	0.88	132.91	8.0	14.9	-2.3	2.4	352	543	899	8.0	14.9	65	992	1	0.34	1.53	1	0.52	131.93	917	-2.2	2.3	46	858	1	0.19	1.18	1	0.57	109.08	815	4.2	27.5	-7.5	13.3	353	543	2	0.75	2.79	2	0.66	2.62	1	0.28	44.59
SUANFENG	Cao et al.	14	100014	Suancigou_Feng	105.810000	35.510000	Asia	2713	-3.0	34.0	-11.0	25.7	15	4360	2	0.70	3.82	0.80	3.10	2	0.80	3.60	0.87	3.02	2	0.86	227.70	0.92	174.29	10.0	18.1	-0.9	8.9	268	1444	800	10.0	18.1	46	4360	1	0.32	2.04	2	0.73	192.88	1359	-0.9	8.8	35	2209	1	0.39	2.23	2	0.80	140.40	1655	1.9	29.8	-10.4	25.1	269	1431	2	0.74	3.34	2	0.74	3.21	2	0.80	112.12
SUANTANG	Cao et al.	15	100015	Suancigou_Tang	105.833333	35.500000	Asia	2713	-3.0	34.0	-11.0	25.7	15	4360	2	0.70	3.82	0.80	3.10	2	0.80	3.60	0.87	3.02	2	0.86	227.70	0.92	174.29	4.2	27.2	-6.3	9.8	-162	898	2439	4.3	27.2	28	4360	2	0.66	3.61	2	0.86	203.00	1938	-6.2	9.8	35	4360	1	0.49	2.89	2	0.77	154.74	2065	-3.0	34.0	-11.0	20.0	15	896	1	0.60	3.87	1	0.47	3.56	1	0.65	112.86
SUJIA06	Cao et al.	16	100016	Sujiawan_2006	104.522833	35.538833	Asia	2647	-3.0	34.0	-11.0	25.7	15	2250	2	0.70	3.86	0.80	3.18	2	0.80	3.62	0.86	3.05	2	0.88	178.70	0.92	144.59	15.0	21.9	1.9	8.1	268	706	815	15.1	21.8	35	2250	1	0.21	1.71	2	0.89	128.78	761	1.9	8.1	35	929	1	0.25	1.58	2	0.75	97.48	1317	1.9	27.5	-10.4	14.2	269	706	2	0.72	3.16	2	0.59	2.93	1	0.44	86.55
HONGSHU03	Cao et al.	17	100017	Hongshui River_2003	102.765000	38.179400	Asia	2942	-3.0	34.0	-11.0	23.2	15	2250	2	0.66	3.80	0.77	3.12	2	0.74	3.63	0.83	3.01	2	0.84	162.19	0.89	134.10	7.4	27.9	-2.6	11.6	-40	600	2582	7.4	27.8	25	2250	2	0.64	3.30	1	0.82	151.98	1869	-2.6	11.5	28	2250	1	0.48	2.58	1	0.67	125.42	2199	-3.0	34.0	-11.0	15.6	15	598	1	0.60	3.74	1	0.55	3.28	1	0.50	98.47
WUYING	Cao et al.	18	100018	Wuying River	105.820000	35.760000	Asia	2726	1.9	34.0	-10.4	25.7	15	4360	2	0.70	3.81	0.80	3.10	2	0.81	3.59	0.87	3.02	2	0.86	227.30	0.92	173.78	11.8	20.9	0.6	5.6	302	820	1049	11.9	20.9	40	4360	1	0.26	2.30	2	0.85	179.40	735	0.6	5.5	46	864	1	0.15	1.22	2	0.73	103.95	1278	1.9	27.5	-10.4	20.0	303	820	1	0.67	3.40	1	0.51	3.37	1	0.52	92.86
ZOIGERM	Cao et al.	19	100019	Zoige RM	102.350000	33.950000	Asia	2515	-3.0	34.0	-12.4	25.7	15	2250	2	0.70	3.93	0.79	3.27	2	0.79	3.63	0.85	3.11	2	0.87	179.93	0.92	146.75	7.3	18.6	-1.1	6.2	263	727	1098	7.3	18.5	32	1010	1	0.43	2.41	2	0.71	115.37	1057	-1.0	6.2	40	858	1	0.25	1.72	2	0.66	108.21	1269	1.9	27.5	-10.4	14.2	263	727	2	0.72	3.10	2	0.62	2.86	1	0.48	89.13
CHENGCH2	Cao et al.	20	100020	Chenghai CH2	116.800000	23.483333	Asia	1338	4.2	29.8	-3.8	25.7	176	4360	2	0.72	3.27	0.79	2.83	2	0.81	3.09	0.86	2.72	2	0.78	325.36	0.87	245.47	20.4	29.8	12.1	21.3	1377	2240	858	20.4	29.7	176	3294	2	0.52	1.97	2	0.81	299.72	517	12.1	21.3	415	3136	2	0.57	1.55	2	0.74	303.92	481	16.7	29.8	4.7	25.7	1381	2239	2	0.68	2.06	2	0.79	2.26	2	0.44	155.03
DONGGUPK16	Cao et al.	21	100021	Dongguan_PK16	113.716667	22.733333	Asia	1324	4.2	29.8	-7.2	25.7	150	4360	2	0.77	3.35	0.83	2.87	2	0.84	3.18	0.88	2.79	2	0.79	314.23	0.88	241.76	19.6	24.4	11.3	15.3	1055	1674	314	19.7	24.3	150	3294	1	0.23	1.10	2	0.89	284.33	133	11.4	15.2	415	3084	1	0.33	0.87	2	0.81	261.46	250	19.6	29.8	9.3	25.7	1057	1673	2	0.50	1.64	2	0.74	1.91	1	0.57	138.30
HUANGH24	Cao et al.	22	100022	Huangsha H24	113.233333	23.133333	Asia	1474	4.2	29.8	-7.2	25.7	113	4360	2	0.77	3.44	0.84	2.90	2	0.85	3.27	0.88	2.86	2	0.81	301.25	0.89	232.67	1.8	46.5	-7.2	43.0	457	2677	1474	4.2	29.8	113	4360	2	0.77	3.44	2	0.81	301.25	1474	-7.2	25.7	113	4360	2	0.85	3.27	2	0.81	301.25	1142	4.2	29.8	-7.2	25.7	458	2656	2	0.79	3.41	2	0.84	3.30	2	0.78	259.07
LINGDINGL2	Cao et al.	24	100024	Lingdingyang L2	113.816667	22.350000	Asia	1229	4.2	29.8	-7.2	25.7	176	4360	2	0.77	3.35	0.83	2.90	2	0.83	3.19	0.87	2.82	2	0.77	320.93	0.86	248.27	20.1	28.6	10.6	22.2	856	2359	629	20.1	28.5	176	3294	2	0.53	1.79	2	0.83	290.01	580	10.6	22.0	415	3486	2	0.65	1.84	2	0.73	306.04	626	11.0	29.8	0.7	25.7	858	2267	2	0.66	2.46	2	0.76	2.35	2	0.64	219.65
SHANTSH5	Cao et al.	25	100025	Shantou SH5	116.666667	23.450000	Asia	1347	4.2	29.8	-3.8	25.7	176	4360	2	0.73	3.26	0.80	2.82	2	0.82	3.08	0.86	2.71	2	0.78	325.05	0.87	244.41	16.9	32.1	9.0	22.3	916	2147	1012	16.9	29.8	176	3486	2	0.56	2.33	2	0.80	310.72	725	9.1	22.2	189	4360	2	0.67	2.13	2	0.68	349.08	645	12.8	29.8	4.7	25.7	917	2146	2	0.60	2.48	2	0.74	2.43	2	0.60	210.94
SHUIDOA1	Cao et al.	26	100026	Shuidong A1	111.666667	21.550000	Asia	1258	4.2	29.8	-7.2	25.7	186	4360	2	0.79	3.46	0.85	2.90	2	0.84	3.36	0.88	2.91	2	0.79	292.44	0.88	222.20	17.3	31.9	7.6	23.2	940	1903	765	17.4	29.8	186	2852	2	0.57	2.25	2	0.78	286.85	737	7.7	23.2	186	4360	2	0.73	2.34	2	0.74	307.06	497	15.4	29.8	9.2	25.7	950	1902	2	0.59	2.36	2	0.69	2.23	2	0.63	184.06
SHUNDEZK08	Cao et al.	27	100027	Shunde ZK08	113.250000	22.833333	Asia	1393	4.2	29.8	-7.2	25.7	128	4360	2	0.78	3.44	0.84	2.88	2	0.84	3.28	0.89	2.83	2	0.81	297.83	0.88	232.41	4.3	33.3	-1.0	24.9	1041	2353	1391	4.3	29.8	128	4360	2	0.78	3.43	2	0.81	297.80	1270	-0.9	24.8	128	4360	2	0.83	3.03	2	0.80	306.79	556	16.7	29.8	6.6	25.7	1043	2267	2	0.64	2.00	2	0.76	2.18	2	0.54	205.21
TIANYANTY1	Cao et al.	28	100028	Tianyang TY1	110.350000	20.350000	Asia	1114	4.2	29.8	-7.2	25.7	198	4360	2	0.80	3.40	0.86	2.92	2	0.85	3.34	0.89	2.92	2	0.80	273.04	0.85	234.55	14.2	32.7	5.4	23.8	747	2148	777	14.5	29.8	198	2852	2	0.64	2.66	2	0.78	280.92	731	5.4	23.7	198	4360	2	0.76	2.51	2	0.75	298.63	618	6.2	29.8	-3.4	25.7	747	2120	2	0.67	3.05	2	0.71	3.04	2	0.70	209.92
ZHONGPK19	Cao et al.	29	100029	Zhongshan PK19	113.300000	21.800000	Asia	1152	4.2	29.8	-7.2	25.7	188	4360	2	0.78	3.34	0.84	2.88	2	0.84	3.19	0.87	2.82	2	0.76	313.44	0.86	244.27	10.1	31.4	6.0	20.3	126	1939	1038	10.2	29.8	188	4360	2	0.71	3.18	2	0.75	324.82	662	6.0	20.2	188	4360	2	0.71	2.23	2	0.77	326.66	1023	4.2	29.8	-7.2	25.7	188	1934	2	0.79	3.38	2	0.84	3.20	2	0.84	209.07
BAJIAO	Cao et al.	30	100030	Bajiaotian	110.200000	25.200000	Asia	1869	1.9	29.8	-10.4	25.7	40	4360	2	0.76	3.61	0.84	2.95	2	0.84	3.32	0.88	2.89	2	0.84	256.93	0.90	200.31	20.0	26.6	11.3	17.3	1150	1603	580	20.0	26.5	46	2852	2	0.50	1.38	2	0.91	230.30	272	11.4	17.3	415	2852	1	0.48	1.06	2	0.87	208.50	125	19.6	29.8	9.3	25.7	1165	1599	1	0.43	1.96	1	0.67	2.10	1	0.38	118.29
BEIHAIGK10	Cao et al.	31	100031	Beihai GK10	109.083333	21.533333	Asia	1396	4.2	29.8	-7.2	25.7	116	4360	2	0.79	3.57	0.86	2.98	2	0.85	3.42	0.89	3.00	2	0.83	254.89	0.88	220.41	19.3	26.0	12.0	19.1	1337	1857	335	19.4	25.9	116	2852	1	0.33	1.36	2	0.90	247.96	344	12.0	19.0	415	2852	2	0.51	1.24	2	0.82	241.47	295	18.6	29.8	10.8	25.7	1358	1846	2	0.51	2.04	2	0.57	2.11	1	0.21	108.47
NANTUN	Cao et al.	34	100034	Nantun	104.233333	26.700000	Asia	1885	-3.0	29.8	-11.0	25.7	35	4360	2	0.76	3.65	0.83	3.11	2	0.84	3.35	0.88	2.99	2	0.86	230.02	0.90	199.78	-9.9	29.7	-17.2	20.2	383	1575	1884	-3.0	29.7	35	4360	2	0.77	3.65	2	0.86	229.68	1697	-11.0	20.1	35	4360	2	0.80	3.18	2	0.85	214.19	1070	4.2	29.8	-7.2	25.7	383	1572	2	0.78	3.40	2	0.82	3.11	2	0.82	132.00
SUOMA	Cao et al.	35	100035	Suoma	105.833333	26.033333	Asia	1864	-3.0	29.8	-11.0	25.7	35	4360	2	0.77	3.65	0.83	3.10	2	0.84	3.35	0.88	2.99	2	0.86	230.25	0.89	200.47	19.2	26.3	8.8	17.3	905	1615	590	19.4	26.2	35	2852	2	0.49	1.44	2	0.92	212.50	347	8.8	17.3	35	4360	1	0.49	1.89	2	0.78	284.56	258	12.8	29.8	6.7	25.7	906	1614	2	0.75	2.35	2	0.77	1.97	1	0.54	155.21
XIAOHE	Cao et al.	36	100036	Xiaoheitu	105.916667	26.233333	Asia	1882	-3.0	29.8	-11.0	25.7	35	4360	2	0.76	3.64	0.83	3.09	2	0.84	3.34	0.88	2.98	2	0.86	229.32	0.90	199.40	13.9	20.4	4.9	12.5	881	1566	358	14.0	20.4	40	2250	1	0.20	1.84	2	0.79	131.74	404	5.0	12.4	35	4360	2	0.41	1.36	1	0.69	217.38	241	12.8	29.8	6.7	25.7	887	1566	2	0.76	2.35	2	0.77	1.93	2	0.66	124.27
SHUANGSC1	Cao et al.	39	100039	Shuangchi Maar Lake SC1	110.183333	19.950000	Asia	1042	4.2	29.8	-7.2	25.7	227	4360	2	0.80	3.36	0.85	2.95	2	0.85	3.27	0.88	2.92	2	0.78	278.37	0.84	240.93	1.6	42.4	-5.4	31.5	630	2615	1042	4.2	29.8	227	4360	2	0.80	3.36	2	0.78	278.37	1028	-4.3	25.7	227	4360	2	0.84	3.21	2	0.78	279.50	764	6.1	29.8	-3.4	25.7	633	2529	2	0.77	3.39	2	0.81	3.34	2	0.76	221.57
BAIHE	Cao et al.	40	100040	Baihe	115.850000	40.866667	Asia	2555	1.9	29.8	-10.4	22.5	35	4360	2	0.67	3.27	0.77	2.70	2	0.78	3.28	0.85	2.80	2	0.86	251.49	0.90	206.97	16.6	20.8	2.4	4.9	375	841	836	16.6	20.8	40	3486	1	0.10	1.09	2	0.89	185.58	460	2.4	4.8	53	2147	1	0.06	0.69	2	0.87	114.67	1032	4.3	27.5	-8.8	14.2	376	836	2	0.68	2.98	2	0.55	2.94	2	0.58	84.18
BAIYANGGY	Cao et al.	41	100041	Baiyangdian Lake GY	115.916667	38.833333	Asia	2626	1.9	29.8	-10.4	23.4	35	4360	2	0.68	3.29	0.77	2.76	2	0.79	3.33	0.85	2.88	2	0.85	256.28	0.90	209.16	17.2	21.4	1.9	6.4	227	860	845	17.2	21.3	40	3486	1	0.12	1.07	2	0.88	202.83	748	2.0	6.4	40	2147	1	0.17	1.15	2	0.83	135.40	1619	1.9	27.5	-10.4	20.0	227	858	1	0.61	3.16	2	0.55	2.98	2	0.69	98.60
CANGUMI	Cao et al.	42	100042	Cangumiao	118.600000	38.966667	Asia	2650	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.18	0.78	2.65	2	0.78	3.27	0.84	2.81	2	0.84	266.83	0.89	221.53	13.9	22.5	3.1	7.6	460	1014	1445	14.0	22.4	53	3486	1	0.20	1.90	2	0.85	240.35	615	3.2	7.6	51	2547	1	0.25	1.08	2	0.84	212.23	840	4.3	28.4	-7.9	16.8	461	1014	2	0.64	3.07	2	0.53	3.00	2	0.61	79.82
DAZIYIN	Cao et al.	43	100043	Daziying	119.170000	39.333333	Asia	2616	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.13	0.78	2.61	2	0.78	3.28	0.85	2.78	2	0.85	258.95	0.90	215.54	16.5	20.3	2.5	5.1	360	804	823	16.5	20.3	113	3486	1	0.09	1.04	2	0.86	211.81	454	2.6	5.1	101	2147	1	0.06	0.69	2	0.88	144.84	1040	4.3	27.5	-7.9	14.2	360	803	2	0.66	2.94	2	0.54	2.91	2	0.60	85.00
FENGNIN	Cao et al.	44	100044	Fengning	116.633333	41.200000	Asia	2514	1.9	29.8	-10.4	21.9	35	4360	2	0.67	3.20	0.77	2.69	2	0.77	3.27	0.84	2.80	2	0.86	244.81	0.91	203.76	18.1	22.8	1.4	7.1	141	552	964	18.1	22.7	35	3486	1	0.15	1.19	2	0.90	218.89	890	1.4	7.0	40	2209	1	0.20	1.36	2	0.82	153.26	1177	1.9	27.5	-10.4	13.9	143	552	1	0.65	2.96	2	0.62	2.71	1	0.42	80.72
HUANGJI	Cao et al.	45	100045	Huangjiapu	115.150000	40.566667	Asia	2566	1.9	29.8	-10.4	22.5	35	4360	2	0.68	3.29	0.78	2.73	2	0.79	3.28	0.85	2.83	2	0.86	247.67	0.91	200.60	16.8	23.4	1.6	7.6	198	724	1197	16.9	23.4	35	3486	1	0.21	1.55	2	0.89	208.72	881	1.6	7.5	35	2209	1	0.24	1.39	2	0.81	156.42	1434	1.9	27.5	-10.4	14.2	198	722	1	0.63	3.16	2	0.56	2.91	1	0.52	99.33
MAOHEBE	Cao et al.	46	100046	Maohebei	119.170000	39.500000	Asia	2620	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.13	0.78	2.61	2	0.78	3.29	0.85	2.78	2	0.85	258.56	0.90	215.14	15.3	18.6	1.9	4.4	459	737	492	15.3	18.6	101	3192	1	0.12	0.87	2	0.87	212.83	501	1.9	4.3	101	2147	1	0.18	0.67	2	0.85	137.68	588	4.3	26.9	-7.9	14.2	461	737	2	0.66	3.08	2	0.54	3.12	1	0.34	71.23
MENGCUN	Cao et al.	47	100047	Mengcun	117.116667	38.050000	Asia	2603	1.9	29.8	-10.4	23.4	35	4360	2	0.69	3.25	0.78	2.73	2	0.80	3.28	0.85	2.85	2	0.85	262.05	0.90	211.69	15.5	24.3	1.3	6.8	55	916	1473	15.5	24.2	35	3486	1	0.29	1.90	2	0.89	229.15	893	1.4	6.7	40	2209	1	0.20	1.32	2	0.80	170.58	1769	1.9	27.5	-10.4	20.0	55	908	1	0.60	3.21	2	0.54	2.92	2	0.74	101.60
NANWANG	Cao et al.	48	100048	Nanwangzhuang	114.916667	38.450000	Asia	2645	1.9	29.8	-10.4	23.4	35	4360	2	0.69	3.31	0.78	2.76	2	0.80	3.36	0.86	2.87	2	0.85	254.83	0.91	201.96	16.4	22.6	0.3	6.8	190	756	1136	16.4	22.5	35	3486	1	0.17	1.51	2	0.89	207.12	1000	0.4	6.7	40	2209	1	0.21	1.46	1	0.67	160.24	1582	1.9	27.5	-10.4	14.2	190	755	1	0.63	3.16	2	0.53	2.94	2	0.65	98.05
YANGERZ	Cao et al.	50	100050	Yangerzhuang	117.350000	38.350000	Asia	2567	1.9	29.8	-10.4	23.4	35	4360	2	0.68	3.23	0.78	2.71	2	0.79	3.26	0.85	2.83	2	0.85	262.01	0.90	215.02	16.0	23.4	1.7	6.9	167	863	1328	16.0	23.4	35	3486	1	0.22	1.72	2	0.88	225.23	821	1.8	6.9	40	2209	1	0.20	1.26	2	0.81	176.71	1653	1.9	27.5	-10.4	20.0	170	858	1	0.61	3.15	2	0.51	2.89	2	0.71	98.38
YANGJIA	Cao et al.	51	100051	Yangjiapo	118.683333	40.016667	Asia	2622	1.9	29.8	-10.4	22.5	35	4360	2	0.68	3.13	0.78	2.61	2	0.78	3.30	0.85	2.76	2	0.86	254.86	0.90	213.64	15.6	28.9	0.9	11.1	204	1102	1995	15.7	28.9	35	3486	2	0.57	2.24	2	0.86	268.29	1358	0.9	11.0	35	4360	2	0.50	1.94	2	0.85	224.02	1646	1.9	28.5	-10.4	16.1	205	1092	1	0.60	3.15	2	0.57	2.92	2	0.71	102.56
YANGYUANCA	Cao et al.	52	100052	Yangyuan-Caocun, Yangyuan County, Hebei Province	114.400000	40.100000	Asia	2594	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.31	0.78	2.77	2	0.79	3.31	0.85	2.89	2	0.85	249.61	0.90	203.35	18.7	23.2	2.4	5.9	68	471	893	18.7	23.2	35	3486	1	0.18	1.18	2	0.90	202.46	575	2.4	5.8	41	1437	1	0.18	0.88	2	0.84	96.71	1036	1.9	27.5	-10.4	13.3	77	470	1	0.58	3.15	2	0.62	2.52	1	0.29	80.36
YANGYUANXI	Cao et al.	53	100053	Yangyuan-Xipu	114.216667	40.116667	Asia	2588	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.32	0.78	2.78	2	0.79	3.32	0.85	2.89	2	0.85	248.74	0.90	202.87	17.0	22.7	1.0	5.1	175	432	1089	17.1	22.7	35	3486	1	0.17	1.42	2	0.90	199.13	742	1.1	5.0	46	1437	1	0.14	1.01	2	0.81	101.17	843	1.9	27.4	-10.4	13.1	176	431	1	0.60	2.98	1	0.56	2.53	1	0.20	61.48
YANSHEN	Cao et al.	54	100054	Yanshengang	118.866667	39.866667	Asia	2625	1.9	29.8	-10.4	22.5	35	4360	2	0.68	3.12	0.78	2.60	2	0.78	3.30	0.85	2.77	2	0.86	255.26	0.90	213.80	9.5	24.3	-2.0	8.5	163	823	2021	9.5	24.3	51	4360	2	0.51	2.60	2	0.86	236.11	1517	-1.9	8.5	38	3192	2	0.42	2.13	2	0.85	175.74	1641	1.9	27.5	-10.4	14.2	164	820	1	0.59	3.11	2	0.52	2.89	2	0.70	98.40
BEIDAWA	Cao et al.	55	100055	Beidawan	134.700000	48.133333	Asia	1854	7.6	27.5	-16.1	19.0	107	3421	2	0.61	2.20	0.76	1.71	2	0.78	3.40	0.87	2.63	2	0.86	228.48	0.90	190.55	16.0	20.0	-6.6	4.7	495	832	891	16.0	19.9	197	3421	1	0.23	0.98	2	0.87	193.37	951	-6.6	4.7	107	2192	1	0.67	1.82	2	0.84	128.34	498	10.5	26.9	-8.8	13.4	496	830	2	0.54	1.92	2	0.62	2.30	2	0.57	64.08
CHUANGY	Cao et al.	56	100056	Chuangye	134.466667	48.333333	Asia	1853	7.6	27.5	-16.1	18.9	107	3421	2	0.61	2.20	0.76	1.71	2	0.78	3.40	0.87	2.63	2	0.86	227.82	0.90	189.24	16.0	19.7	-3.8	4.2	476	941	821	16.0	19.6	197	3421	1	0.22	0.92	2	0.87	195.92	764	-3.8	4.2	107	2192	2	0.61	1.47	2	0.83	131.65	568	8.7	26.9	-8.8	13.6	477	928	2	0.49	2.22	2	0.59	2.57	2	0.53	77.48
MINZHU	Cao et al.	57	100057	Minzhuqiao	133.866667	47.533333	Asia	1882	7.6	27.5	-16.1	19.0	107	3486	2	0.61	2.22	0.77	1.72	2	0.78	3.42	0.87	2.65	2	0.86	230.39	0.90	197.51	17.6	20.5	-0.7	4.0	586	841	630	17.7	20.4	197	3486	1	0.20	0.72	2	0.85	204.83	487	-0.7	3.9	107	2192	1	0.24	1.13	2	0.87	122.63	364	11.0	26.9	-8.8	14.2	588	837	2	0.55	1.80	2	0.53	2.07	1	0.33	55.35
QINDEL	Cao et al.	58	100058	Qindeli	133.666667	47.883333	Asia	1890	7.6	27.5	-16.1	19.0	107	3486	2	0.61	2.20	0.77	1.71	2	0.79	3.40	0.88	2.62	2	0.86	229.83	0.90	197.18	16.8	19.7	-3.1	4.6	382	962	748	16.8	19.7	197	3486	1	0.27	0.78	2	0.87	201.86	796	-3.1	4.6	107	2192	1	0.48	1.62	2	0.85	132.62	810	8.7	27.5	-12.3	14.4	383	928	2	0.63	2.24	2	0.70	2.77	2	0.68	81.88
TANGBE94	Cao et al.	59	100059	Tangbei 94-A	129.666667	48.350000	Asia	1961	7.6	27.5	-16.1	19.0	107	3421	2	0.60	2.21	0.75	1.77	2	0.78	3.43	0.86	2.67	2	0.87	222.95	0.91	185.52	16.7	19.1	-2.7	3.7	528	857	551	16.7	19.0	165	3192	1	0.11	0.54	2	0.87	207.02	652	-2.7	3.6	107	2192	1	0.47	1.38	2	0.83	121.72	473	11.0	26.9	-8.8	14.2	529	852	2	0.54	1.95	2	0.61	2.28	2	0.48	63.76
TUQIANG	Cao et al.	61	100061	Tuqiang	122.800000	52.233333	Asia	1899	6.1	27.5	-16.1	13.9	35	1834	1	0.49	2.46	0.68	1.94	1	0.73	3.49	0.83	2.79	2	0.84	130.78	0.88	112.98	14.9	17.6	-7.3	-1.0	366	580	483	15.0	17.6	121	1650	1	0.08	0.80	2	0.87	119.43	438	-7.2	-1.0	140	1411	1	0.34	1.45	2	0.63	103.01	466	8.7	27.5	-14.8	13.9	366	579	2	0.76	2.10	2	0.79	2.81	1	0.37	47.80
CHADIAN	Cao et al.	63	100063	Chadianpo	114.400000	36.100000	Asia	2671	1.9	29.8	-10.4	25.1	35	4360	2	0.69	3.37	0.79	2.77	2	0.81	3.34	0.86	2.90	2	0.86	254.02	0.91	202.15	12.5	22.8	-0.4	9.8	266	909	1479	12.6	22.8	35	4360	1	0.18	2.34	2	0.87	216.29	1351	-0.3	9.8	35	4360	1	0.40	2.05	2	0.82	185.17	1505	1.9	27.5	-10.4	20.0	266	908	1	0.62	3.18	2	0.55	3.06	2	0.69	96.14
DENGJIAC	Cao et al.	64	100064	Dengjiacun	113.650000	34.468933	Asia	2597	1.9	29.8	-10.4	25.7	35	4360	2	0.70	3.43	0.80	2.80	2	0.82	3.35	0.87	2.86	2	0.85	254.71	0.91	200.30	15.5	22.6	1.5	10.5	196	1537	1144	15.6	22.6	35	3486	1	0.18	1.67	2	0.90	196.05	1093	1.5	10.4	35	4360	1	0.41	1.84	2	0.81	201.59	1907	1.9	29.8	-10.4	25.7	196	1532	2	0.69	3.30	2	0.74	3.19	2	0.82	129.98
GUANGRU1	Cao et al.	65	100065	Guangrunpo 1	114.533333	36.016667	Asia	2648	1.9	29.8	-10.4	25.1	35	4360	2	0.69	3.35	0.79	2.75	2	0.81	3.34	0.87	2.87	2	0.86	253.98	0.91	201.24	12.6	20.8	0.0	6.3	257	623	1109	12.7	20.8	40	4360	1	0.25	1.80	2	0.85	194.08	972	0.1	6.2	40	1437	1	0.20	1.42	2	0.82	103.68	1053	1.9	27.5	-10.4	13.9	258	623	1	0.68	3.03	2	0.61	2.75	1	0.44	77.80
WANGJIAD	Cao et al.	66	100066	Wangjiadian profile	114.669167	36.161000	Asia	2640	1.9	29.8	-10.4	25.1	35	4360	2	0.69	3.34	0.79	2.75	2	0.81	3.34	0.87	2.88	2	0.86	254.15	0.91	201.50	15.1	23.8	1.7	8.9	8	1028	1448	15.1	23.7	35	3486	1	0.24	2.00	2	0.88	224.77	1005	1.7	8.8	35	3192	1	0.36	1.68	2	0.84	160.39	1900	1.9	28.4	-10.4	20.0	35	1024	1	0.60	3.29	2	0.57	3.06	2	0.78	104.53
XISHAN	Cao et al.	67	100067	Xishan	113.530000	34.911667	Asia	2643	1.9	29.8	-10.4	25.7	35	4360	2	0.69	3.42	0.80	2.79	2	0.82	3.34	0.87	2.85	1	0.82	282.86	0.91	198.79	-11.0	30.9	-13.0	7.7	20	460	2643	1.9	29.8	35	4360	2	0.69	3.42	1	0.82	282.86	1676	-10.4	7.7	35	2547	2	0.48	2.50	1	0.67	165.37	1009	1.9	27.5	-10.4	13.3	35	459	1	0.60	3.24	2	0.62	2.50	1	0.47	75.09
DAJIUHUC1	Cao et al.	68	100068	Dajiuhu Lake C1	110.666667	31.750000	Asia	2398	1.9	29.8	-10.4	25.7	35	4360	2	0.74	3.53	0.81	2.95	2	0.83	3.27	0.87	2.88	2	0.85	261.34	0.91	202.32	16.2	27.8	5.0	19.0	1084	1847	1275	16.2	27.7	35	3486	2	0.44	2.23	2	0.89	253.84	932	5.0	18.9	35	4360	2	0.73	2.24	2	0.84	310.45	440	17.5	29.8	4.7	25.7	1092	1846	2	0.52	2.05	2	0.70	2.34	1	0.52	165.16
JIANGLING	Cao et al.	69	100069	Jiangling	112.333333	30.133333	Asia	2191	1.9	29.8	-10.4	25.7	35	4360	2	0.73	3.57	0.82	2.91	2	0.83	3.26	0.88	2.85	2	0.85	272.05	0.91	210.47	13.0	25.0	1.8	13.8	454	1376	1167	13.0	24.9	35	4360	2	0.36	2.44	2	0.87	267.02	1040	1.9	13.7	35	4360	2	0.54	2.23	2	0.84	240.39	834	4.2	29.7	-7.2	25.1	454	1373	2	0.75	3.39	2	0.77	3.15	2	0.78	111.75
LONGQUANLC2	Cao et al.	70	100070	Longquan Lake LC2	112.238000	31.081400	Asia	2292	1.9	29.8	-10.4	25.7	35	4360	2	0.73	3.55	0.82	2.92	2	0.83	3.28	0.87	2.87	2	0.85	267.93	0.91	206.56	11.0	25.0	-1.2	15.7	459	1760	1416	11.0	25.0	35	4360	2	0.49	2.78	2	0.86	258.52	1538	-1.2	15.6	35	4360	2	0.68	2.62	2	0.84	232.41	1066	4.2	29.8	-7.2	25.7	459	1757	2	0.76	3.62	2	0.82	3.44	2	0.83	176.15
MIANCHEM1	Cao et al.	71	100071	Miancheng M1	113.216667	30.183333	Asia	2136	1.9	29.8	-10.4	25.7	35	4360	2	0.72	3.56	0.81	2.89	2	0.83	3.26	0.87	2.83	2	0.85	275.47	0.91	211.36	15.8	27.6	2.2	16.8	490	1657	1235	15.8	27.6	35	3486	2	0.43	2.24	2	0.89	258.34	1191	2.3	16.7	35	4360	2	0.71	2.41	2	0.85	267.42	901	4.2	29.8	-7.2	25.7	491	1655	2	0.76	3.63	2	0.82	3.34	2	0.79	166.27
TAIBAITN1	Cao et al.	72	100072	Taibai Lake TN1	115.807333	29.995667	Asia	2071	1.9	29.8	-10.4	25.7	35	4360	2	0.73	3.40	0.81	2.83	2	0.83	3.21	0.87	2.80	2	0.84	281.59	0.90	220.67	21.5	26.1	8.5	15.4	737	1228	512	21.5	26.1	38	3136	2	0.35	1.01	2	0.91	253.46	429	8.6	15.4	35	4360	2	0.58	1.50	2	0.75	345.24	272	6.2	29.3	-3.4	25.1	739	1221	2	0.80	2.83	2	0.76	2.95	2	0.78	74.90
ZHOULAO	Cao et al.	73	100073	Zhoulao	112.883333	29.816667	Asia	2140	1.9	29.8	-10.4	25.7	35	4360	2	0.72	3.59	0.82	2.91	2	0.83	3.27	0.87	2.85	2	0.85	275.68	0.91	212.68	11.7	27.6	3.2	14.9	606	1635	1444	11.8	27.5	35	4360	2	0.48	2.90	2	0.87	273.33	842	3.3	14.8	35	4360	2	0.58	2.11	2	0.86	257.16	644	4.2	29.8	-4.2	25.7	607	1632	2	0.77	3.57	2	0.82	3.30	2	0.77	161.98
ANGUNUR	Cao et al.	74	100074	Anguli Nur Lake	114.366667	41.333333	Asia	2488	1.9	29.8	-10.4	21.9	35	3486	2	0.67	3.30	0.77	2.74	2	0.78	3.24	0.84	2.79	2	0.86	235.63	0.92	180.87	13.6	24.8	2.4	6.2	-247	1052	1614	13.7	24.7	35	3486	1	0.29	2.26	2	0.89	217.84	602	2.4	6.2	40	1437	1	0.18	0.96	1	0.75	128.19	1965	1.9	28.5	-10.4	16.8	35	1049	1	0.60	3.26	2	0.57	2.95	1	0.71	117.25
BAAHNUUR	Cao et al.	75	100075	Baahar Nuur Lake	109.266667	39.316667	Asia	2951	1.9	34.0	-10.4	23.4	15	2852	2	0.69	3.71	0.80	2.98	2	0.78	3.62	0.86	2.97	2	0.86	212.59	0.92	155.25	12.8	23.6	3.2	8.6	385	892	1543	12.8	23.6	35	2852	1	0.33	2.38	2	0.88	175.44	627	3.3	8.6	35	2209	1	0.25	1.39	2	0.88	151.17	1120	4.2	27.5	-7.2	20.0	385	887	1	0.64	3.28	2	0.59	3.24	1	0.43	94.41
BAYANBY	Cao et al.	76	100076	Bayanchagan Lake BY	115.210000	41.650000	Asia	2483	1.9	29.8	-10.4	21.9	35	3486	2	0.66	3.27	0.77	2.72	2	0.77	3.24	0.84	2.77	2	0.86	239.93	0.92	183.92	14.5	23.5	-1.0	5.5	99	778	1459	14.5	23.4	35	3486	1	0.23	2.01	2	0.88	212.35	1079	-1.0	5.5	46	1437	1	0.17	1.61	2	0.78	107.84	1735	1.9	27.5	-10.4	14.2	100	778	1	0.60	3.19	2	0.53	2.92	2	0.68	103.11
CHARIMUCH	Cao et al.	77	100077	Charisu/Muchang profile	122.350000	42.950000	Asia	2269	5.4	29.8	-10.4	20.6	35	3486	2	0.57	2.81	0.70	2.32	2	0.71	3.08	0.80	2.57	2	0.84	239.85	0.90	195.26	19.1	22.9	4.0	7.5	366	827	813	19.2	22.8	103	3486	1	0.15	1.04	2	0.87	219.00	464	4.1	7.5	51	2209	1	0.22	0.85	2	0.86	202.68	992	5.4	27.5	-10.3	14.2	367	825	1	0.53	2.80	2	0.57	2.84	2	0.67	76.70
CHIFEQIGU	Cao et al.	78	100078	Chifeng-Qiguo Mt.	118.966667	42.283333	Asia	2499	1.9	29.8	-10.4	21.9	35	3486	2	0.64	3.05	0.75	2.54	2	0.75	3.20	0.83	2.67	2	0.86	243.29	0.90	200.44	18.5	22.3	1.1	5.2	109	781	852	18.5	22.2	64	3486	1	0.13	0.97	2	0.88	223.70	791	1.1	5.2	58	2147	1	0.17	1.04	2	0.87	135.57	1653	1.9	27.5	-10.4	14.2	113	780	1	0.57	3.08	2	0.54	2.87	2	0.68	100.24
DAIHAI99A	Cao et al.	79	100079	Daihai Lake 99a	112.666667	40.583333	Asia	2634	1.9	34.0	-10.4	22.5	15	3486	2	0.67	3.38	0.76	2.85	2	0.78	3.35	0.84	2.88	2	0.86	232.75	0.92	175.93	15.7	23.6	2.0	6.7	210	571	1373	15.7	23.6	35	3486	1	0.23	1.81	2	0.89	199.80	735	2.1	6.7	40	2209	1	0.22	1.14	1	0.65	174.62	1148	1.9	27.5	-10.4	13.9	211	570	1	0.66	3.04	1	0.58	2.88	1	0.38	76.25
DAIHAI99B	Cao et al.	80	100080	Daihai Lake DH99B	112.666667	40.583333	Asia	2634	1.9	34.0	-10.4	22.5	15	3486	2	0.67	3.38	0.76	2.85	2	0.78	3.35	0.84	2.88	2	0.86	232.75	0.92	175.93	17.9	23.0	0.6	8.2	-40	696	964	18.0	23.0	35	3486	1	0.16	1.27	2	0.91	195.86	1121	0.6	8.2	35	3192	1	0.31	1.70	2	0.81	162.17	1669	1.9	34.0	-10.4	15.6	15	695	1	0.59	3.41	1	0.53	3.10	1	0.55	108.42
DALAINUR	Cao et al.	81	100081	Dalai Nur Lake-Haiyan	116.583333	43.283333	Asia	2325	1.9	29.8	-10.4	20.6	35	3486	2	0.64	3.12	0.75	2.60	2	0.72	3.11	0.80	2.70	2	0.86	220.50	0.90	181.45	12.6	22.0	-0.4	5.4	164	578	1408	12.6	21.9	35	3486	1	0.19	2.11	2	0.86	196.68	926	-0.3	5.3	46	2147	2	0.23	1.29	2	0.84	120.51	1204	1.9	27.5	-10.4	13.9	165	577	1	0.65	2.97	2	0.62	2.75	1	0.44	81.48
DIAOJIAO	Cao et al.	82	100082	Diaojiaohaizi DJ	112.350000	41.300000	Asia	2651	1.9	34.0	-10.4	21.9	15	3421	2	0.64	3.45	0.75	2.88	2	0.74	3.37	0.81	2.89	2	0.83	211.34	0.91	155.42	16.1	22.8	-0.9	6.5	-53	945	1235	16.1	22.7	35	3421	1	0.17	1.67	2	0.88	177.45	1232	-0.9	6.4	40	1437	2	0.29	1.69	2	0.78	111.43	2194	1.9	34.0	-10.4	20.0	15	935	1	0.57	3.41	2	0.55	3.11	2	0.71	111.95
GAOXI	Cao et al.	83	100083	Gaoximage	115.366833	42.954000	Asia	2345	1.9	29.8	-10.4	20.6	35	3486	2	0.65	3.19	0.76	2.63	2	0.74	3.12	0.81	2.68	2	0.86	211.78	0.91	165.11	16.2	24.1	-3.0	6.8	-52	804	1327	16.3	24.0	35	3486	1	0.25	1.75	2	0.88	200.63	1413	-3.0	6.7	40	2209	2	0.38	2.00	2	0.75	130.94	1887	1.9	27.5	-10.4	14.2	35	803	1	0.58	3.18	2	0.55	2.86	2	0.72	105.57
HAILAER	Cao et al.	84	100084	Hailaer	119.000000	49.233333	Asia	2185	5.4	28.5	-16.0	16.1	35	2209	2	0.51	2.53	0.64	2.16	2	0.72	3.10	0.79	2.70	2	0.84	162.81	0.91	123.74	16.2	20.8	-0.6	7.4	264	458	1210	16.2	20.8	90	2209	1	0.25	1.11	2	0.88	148.24	1084	-0.6	7.3	51	2209	2	0.44	1.64	2	0.83	140.35	726	6.1	27.5	-16.0	13.3	264	458	2	0.56	2.24	2	0.78	2.62	1	0.18	52.08
HAMAHA2	Cao et al.	85	100085	Hamaertai Lake Ha2	108.750000	38.716667	Asia	2941	1.9	34.0	-10.4	23.4	15	2852	2	0.69	3.71	0.80	3.00	2	0.78	3.62	0.86	2.99	2	0.86	212.62	0.92	155.45	19.8	24.4	5.5	11.5	347	1003	633	19.9	24.3	35	2852	1	0.19	1.15	2	0.94	167.89	521	5.6	11.5	30	2250	2	0.41	1.23	2	0.89	194.69	1341	4.2	28.4	-7.5	20.0	348	992	2	0.67	3.17	2	0.63	3.18	2	0.60	98.37
HANHAIH1	Cao et al.	86	100086	Hanhai Lake H1	112.833333	40.283333	Asia	2604	1.9	34.0	-10.4	22.7	15	4360	2	0.67	3.38	0.77	2.86	2	0.79	3.37	0.84	2.90	2	0.86	242.76	0.91	193.78	11.6	21.1	-2.7	5.1	174	511	1320	11.6	21.1	40	4360	2	0.32	2.12	2	0.85	187.92	1188	-2.6	5.1	46	1437	2	0.32	1.69	2	0.74	112.25	1087	1.9	27.5	-10.4	13.3	175	511	1	0.65	3.06	2	0.61	2.70	1	0.35	73.95
DALINURHAO	Cao et al.	87	100087	Dali Nur-Haoluku Lake	116.757000	42.956333	Asia	2333	1.9	29.8	-10.4	20.6	35	3486	2	0.65	3.12	0.75	2.60	2	0.72	3.13	0.80	2.70	2	0.86	222.44	0.90	183.41	13.6	21.0	-1.4	3.2	121	525	1167	13.7	20.9	40	3486	1	0.19	1.67	2	0.86	189.88	752	-1.4	3.1	46	2192	1	0.18	1.20	2	0.77	122.81	1159	1.9	27.5	-10.4	13.3	121	525	1	0.63	2.99	2	0.62	2.71	1	0.41	80.65
HULUNHL6	Cao et al.	88	100088	Hulun Lake HL06	117.505933	49.126917	Asia	2225	5.4	28.5	-16.0	16.1	35	2209	2	0.52	2.68	0.66	2.27	2	0.72	3.05	0.78	2.71	2	0.83	153.75	0.91	114.84	17.3	20.5	-0.8	4.2	216	412	866	17.4	20.5	90	2171	1	0.28	0.81	2	0.88	140.83	798	-0.7	4.2	58	1352	2	0.39	1.19	2	0.79	99.84	810	5.6	24.3	-16.0	9.4	216	409	2	0.53	2.41	2	0.79	2.60	1	0.18	46.96
HULUNNUR	Cao et al.	89	100089	Hulun Nur Lake	117.400000	49.280000	Asia	2213	5.4	28.5	-16.0	16.1	35	2209	2	0.52	2.68	0.66	2.26	2	0.72	3.04	0.78	2.71	2	0.83	153.10	0.91	113.36	10.0	20.6	-3.0	7.5	59	1417	1648	10.1	20.5	90	2209	1	0.25	2.19	2	0.83	144.22	1418	-2.9	7.5	51	2209	2	0.52	1.90	2	0.82	131.07	2112	5.4	28.5	-16.0	16.1	64	1400	2	0.50	2.69	2	0.70	3.03	2	0.75	123.55
DALINURJIAN	Cao et al.	90	100090	Dali Nur-Jiangjunpaozi Lake	117.470000	42.374000	Asia	2516	1.9	29.8	-10.4	21.9	35	3486	2	0.66	3.11	0.77	2.56	2	0.76	3.19	0.83	2.68	2	0.87	237.22	0.91	194.64	18.1	22.5	0.2	6.4	57	632	935	18.2	22.4	35	3486	1	0.13	1.10	2	0.89	223.08	1033	0.3	6.4	40	2147	2	0.30	1.39	2	0.86	147.39	1406	1.9	27.5	-10.4	13.9	58	630	1	0.60	3.11	1	0.56	2.97	1	0.50	96.88
JUYAN	Cao et al.	91	100091	Juyan Lake	101.850000	41.890000	Asia	2867	1.9	34.0	-10.4	20.0	15	1729	2	0.63	3.68	0.75	3.03	2	0.66	3.39	0.76	2.92	2	0.79	127.33	0.85	108.66	16.6	24.3	1.4	6.3	1	285	1113	16.6	24.3	35	1694	1	0.33	1.72	2	0.85	104.70	770	1.4	6.2	40	828	1	0.17	1.25	2	0.73	99.52	812	4.5	34.0	-8.2	15.6	15	285	2	0.58	3.71	1	0.65	3.07	1	0.45	54.41
DALINURLIU	Cao et al.	92	100092	Dali Nur-Liuzhouwan Lake	116.683000	42.707333	Asia	2342	1.9	29.8	-10.4	20.6	35	3486	2	0.65	3.13	0.75	2.62	2	0.72	3.15	0.80	2.71	2	0.86	224.62	0.90	186.23	15.6	22.7	-1.0	5.9	50	673	1302	15.6	22.6	35	3486	1	0.18	1.67	2	0.87	207.92	1116	-0.9	5.8	41	2192	2	0.27	1.59	2	0.82	125.61	1486	1.9	27.5	-10.4	14.2	50	672	1	0.59	3.15	2	0.57	2.89	1	0.51	103.72
QASQ	Cao et al.	93	100093	Qasq	111.133333	40.666667	Asia	2872	1.9	34.0	-10.4	22.5	15	3192	2	0.66	3.53	0.77	2.90	2	0.77	3.42	0.84	2.89	2	0.85	196.05	0.91	154.43	8.3	24.6	-4.7	8.6	62	850	2221	8.4	24.5	35	3192	2	0.50	2.93	2	0.83	180.27	2040	-4.6	8.5	35	3192	2	0.50	2.53	2	0.77	144.81	2246	1.9	27.5	-10.4	20.0	64	845	1	0.58	3.41	2	0.56	3.07	2	0.70	109.42
HEXIGSANY	Cao et al.	94	100094	Hexigten-Sanyixiang	117.383333	43.616667	Asia	2367	1.9	29.8	-10.4	20.6	35	3486	2	0.63	3.09	0.74	2.58	2	0.71	3.10	0.79	2.68	2	0.85	226.59	0.90	185.72	14.5	23.9	-1.3	5.7	199	416	1605	14.5	23.8	35	3486	1	0.26	2.00	2	0.87	216.44	1157	-1.3	5.7	46	2192	2	0.30	1.61	2	0.83	136.59	725	1.9	27.1	-10.4	13.1	199	416	2	0.62	2.74	1	0.55	2.45	1	0.15	54.15
HEXIGSHI	Cao et al.	96	100096	Hexigten-Shidicun	117.516667	43.250000	Asia	2368	1.9	29.8	-10.4	20.6	35	3486	2	0.63	3.09	0.74	2.59	2	0.71	3.11	0.79	2.69	2	0.85	228.23	0.90	188.79	15.8	23.9	0.9	5.5	72	797	1483	15.8	23.9	35	3486	1	0.26	1.78	2	0.87	222.07	835	0.9	5.5	53	2147	1	0.14	1.17	2	0.87	133.99	1742	1.9	27.5	-10.4	14.2	77	796	1	0.57	3.13	2	0.53	2.88	2	0.69	103.73
LIAOHEWANG	Cao et al.	97	100097	Liaohe River-Wangxianggou	119.916667	42.066667	Asia	2480	4.3	29.8	-10.0	21.9	35	3486	2	0.64	2.97	0.75	2.47	2	0.75	3.16	0.83	2.63	2	0.86	245.26	0.90	199.81	15.9	23.6	-0.2	6.3	222	721	1508	15.9	23.6	51	3486	1	0.27	1.73	2	0.87	230.69	1052	-0.1	6.2	107	2147	2	0.33	1.36	2	0.86	144.57	1284	4.3	27.5	-10.0	14.2	225	720	1	0.59	2.95	2	0.54	2.92	2	0.54	93.60
ORDOSYANG	Cao et al.	98	100098	Ordos-Yangjiawan	110.165333	39.468000	Asia	3003	1.9	34.0	-10.4	22.7	15	2924	2	0.68	3.66	0.79	2.93	2	0.78	3.50	0.85	2.91	2	0.87	201.17	0.92	156.66	13.3	23.1	-3.2	7.3	-7	675	1558	13.3	23.0	35	2924	1	0.25	2.24	2	0.88	169.09	1687	-3.2	7.3	36	2209	2	0.42	2.17	2	0.74	136.64	2069	1.9	34.0	-10.4	15.6	15	675	1	0.61	3.70	1	0.52	3.28	1	0.55	103.76
BOYIQZK1	Cao et al.	99	100099	Boyiqiao ZK01	119.800000	31.766667	Asia	2281	4.3	29.8	-7.2	25.7	36	4360	2	0.69	3.16	0.79	2.62	2	0.81	3.26	0.87	2.79	2	0.83	282.49	0.89	226.88	21.0	26.7	9.6	17.8	703	1859	725	21.0	26.6	36	3206	2	0.44	1.28	2	0.88	276.75	505	9.7	17.8	415	3486	1	0.44	1.65	2	0.74	319.09	920	6.2	29.8	-3.4	25.7	704	1854	2	0.72	2.98	2	0.83	3.05	2	0.75	205.13
CHANGJICM97	Cao et al.	100	100100	Changjiang CM97	121.383333	31.616667	Asia	2186	5.4	29.8	-6.2	25.7	98	4360	2	0.66	3.05	0.78	2.46	2	0.81	3.17	0.87	2.65	2	0.82	290.79	0.89	232.01	12.6	28.5	1.6	16.3	372	1580	1840	12.6	28.5	98	4360	2	0.54	2.49	2	0.84	291.19	1456	1.7	16.3	98	4360	2	0.68	2.49	2	0.81	284.04	1205	5.4	29.8	-6.2	25.7	372	1580	2	0.69	3.17	2	0.77	3.05	2	0.82	143.60
CHANGJIHQ98	Cao et al.	101	100101	Changjiang HQ98	120.233333	32.250000	Asia	2303	4.3	29.8	-7.2	25.7	36	4360	2	0.69	3.10	0.79	2.56	2	0.81	3.24	0.87	2.78	2	0.83	283.90	0.89	228.04	19.7	28.0	2.4	20.0	167	1631	1063	19.8	27.9	36	3294	2	0.48	1.64	2	0.88	272.02	1514	2.5	19.9	36	4360	2	0.75	2.65	2	0.82	311.34	1718	4.3	29.8	-7.2	25.7	173	1630	2	0.70	3.09	2	0.77	3.17	2	0.85	151.16
CHANGSHAN	Cao et al.	102	100102	Changshan	120.350000	31.950000	Asia	2275	4.3	29.8	-7.2	25.7	46	4360	2	0.70	3.10	0.80	2.53	2	0.81	3.22	0.87	2.75	2	0.83	285.00	0.89	228.91	18.0	28.1	4.9	16.8	417	1804	1408	18.1	28.0	46	3486	2	0.51	1.87	2	0.87	267.72	913	5.0	16.8	46	4360	2	0.62	2.26	2	0.80	325.51	1359	4.3	29.8	-7.2	25.7	417	1800	2	0.73	3.28	2	0.82	3.27	2	0.83	177.66
GUANGTA	Cao et al.	103	100103	Guangtangtou	119.150000	31.950000	Asia	2350	4.3	29.8	-7.2	25.7	35	4360	2	0.69	3.26	0.79	2.69	2	0.81	3.28	0.87	2.81	2	0.84	277.27	0.90	222.78	16.2	25.0	7.1	14.7	902	1425	1333	16.2	24.9	98	3486	1	0.34	1.79	2	0.88	247.37	497	7.2	14.6	35	4360	2	0.47	1.64	2	0.83	319.47	221	12.8	29.8	5.0	25.1	906	1424	1	0.70	2.49	2	0.70	2.13	2	0.59	93.72
GUCHENG	Cao et al.	104	100104	Gucheng Lake	118.897000	31.275500	Asia	2273	4.3	29.8	-7.2	25.7	35	4360	2	0.70	3.28	0.80	2.71	2	0.81	3.23	0.87	2.78	2	0.83	280.94	0.89	224.97	16.9	27.9	0.7	19.4	-184	2226	1464	17.0	27.9	35	3486	2	0.50	2.03	2	0.87	266.13	1760	0.7	19.4	35	4360	2	0.75	2.74	2	0.84	282.56	2177	4.3	29.8	-7.2	25.7	35	2224	2	0.70	3.31	2	0.81	3.25	2	0.84	236.58
HUASHAN	Cao et al.	105	100105	Huashankou	119.150000	31.950000	Asia	2350	4.3	29.8	-7.2	25.7	35	4360	2	0.69	3.26	0.79	2.69	2	0.81	3.28	0.87	2.81	2	0.84	277.27	0.90	222.78	22.5	28.7	7.3	18.7	533	1601	662	22.6	28.6	35	3136	2	0.42	1.46	2	0.83	285.08	800	7.4	18.7	35	4360	2	0.67	2.00	2	0.79	343.79	915	4.6	29.8	-6.3	25.7	533	1599	2	0.71	3.30	2	0.80	2.91	2	0.77	144.62
QIDONG	Cao et al.	107	100107	Qidong	121.700000	31.900000	Asia	2203	5.4	29.8	-6.2	25.7	98	4360	2	0.66	3.01	0.78	2.41	2	0.81	3.17	0.87	2.67	2	0.83	287.19	0.89	229.82	13.3	26.3	4.6	16.2	994	1359	1634	13.3	26.2	98	4360	2	0.47	2.14	2	0.85	280.99	933	4.7	16.2	98	4360	2	0.59	2.29	2	0.79	322.58	185	18.4	29.3	7.0	25.1	1012	1358	2	0.69	1.46	2	0.70	1.84	1	0.47	62.56
XINGXH1	Cao et al.	108	100108	Xinghua XH1	119.875833	32.709667	Asia	2363	4.3	29.8	-7.2	25.7	35	4360	2	0.69	3.14	0.79	2.60	2	0.81	3.25	0.87	2.80	2	0.83	280.45	0.89	225.62	0.0	36.8	-9.5	32.3	-528	3092	2363	4.3	29.8	35	4360	2	0.69	3.14	2	0.83	280.45	2363	-7.2	25.7	35	4360	2	0.81	3.25	2	0.83	280.45	2355	4.3	29.8	-7.2	25.7	35	3084	2	0.70	3.14	2	0.82	3.25	2	0.84	267.35
ZHENJI	Cao et al.	109	100109	Zhenjiang	119.450000	32.183333	Asia	2349	4.3	29.8	-7.2	25.7	35	4360	2	0.69	3.22	0.79	2.65	2	0.81	3.28	0.87	2.81	2	0.84	278.41	0.89	224.42	9.4	27.8	0.5	17.0	145	4041	1981	9.5	27.8	35	4360	2	0.58	2.87	2	0.85	272.74	1651	0.6	17.0	35	4360	2	0.70	2.64	2	0.83	271.27	2320	4.3	29.8	-7.2	25.7	146	3486	2	0.70	3.19	2	0.81	3.28	2	0.84	274.08
DAHU	Cao et al.	110	100110	Dahu Lake	115.033333	24.250000	Asia	1589	4.2	29.8	-7.2	25.7	113	4360	2	0.76	3.33	0.83	2.77	2	0.84	3.20	0.88	2.76	2	0.81	304.34	0.89	227.59	9.9	24.5	4.8	17.3	686	2064	978	9.9	24.5	113	4360	2	0.64	2.66	2	0.83	299.96	727	4.9	17.3	113	4360	2	0.68	2.12	2	0.83	305.60	786	6.2	29.8	-3.4	25.7	687	2057	2	0.74	3.23	2	0.78	3.23	2	0.75	216.93
DINGNAN	Cao et al.	111	100111	Dingnan	115.033333	24.750000	Asia	1680	4.2	29.8	-7.2	25.7	98	4360	2	0.75	3.36	0.83	2.81	2	0.83	3.24	0.88	2.84	2	0.82	299.27	0.90	227.45	15.2	19.3	7.7	12.8	994	1708	235	15.4	19.3	212	3192	1	0.44	0.96	2	0.92	183.05	284	7.8	12.8	98	4360	1	0.42	1.18	2	0.82	331.42	350	15.7	29.8	4.7	25.7	1010	1706	2	0.58	1.87	2	0.76	2.21	2	0.60	141.83
POYANGZK2	Cao et al.	112	100112	Poyang Lake ZK2	116.213833	29.741667	Asia	2062	4.2	29.8	-7.2	25.7	35	4360	2	0.73	3.38	0.82	2.79	2	0.83	3.19	0.88	2.79	2	0.84	282.24	0.90	220.47	16.4	25.0	3.0	16.5	484	1722	988	16.5	24.9	50	3486	1	0.23	1.87	2	0.89	260.64	1013	3.1	16.4	35	4360	2	0.68	2.31	2	0.85	283.82	959	4.2	29.8	-7.2	25.7	486	1720	2	0.76	3.51	2	0.82	3.35	2	0.82	176.81
DASHAN	Cao et al.	114	100114	Dashan	124.850000	44.883333	Asia	2110	7.8	29.8	-11.1	19.0	35	3486	2	0.57	2.35	0.67	2.04	2	0.73	3.37	0.81	2.87	2	0.84	242.95	0.89	200.89	16.2	19.7	-1.6	3.5	250	636	830	16.3	19.6	149	3486	1	0.16	0.90	2	0.86	208.09	601	-1.5	3.5	123	2192	1	0.39	1.22	2	0.82	130.44	926	7.8	27.5	-11.1	13.9	251	632	2	0.46	2.26	2	0.71	3.08	2	0.49	82.67
ERLONGWA	Cao et al.	115	100115	Erlongwan Maar Lake	126.366667	42.300000	Asia	1925	10.7	29.8	-10.3	20.6	46	3486	2	0.59	2.25	0.69	1.95	2	0.72	3.06	0.81	2.55	2	0.84	256.00	0.89	209.67	14.8	23.6	-4.0	11.0	209	1347	1543	14.8	23.6	107	3486	2	0.40	1.75	2	0.85	227.57	1517	-4.0	11.0	46	3486	2	0.57	2.42	2	0.84	217.95	1444	10.7	29.0	-10.3	17.1	210	1347	2	0.57	2.19	2	0.69	2.86	2	0.84	121.57
HARBA	Cao et al.	117	100117	Harbaling	129.200000	43.633333	Asia	1733	11.0	29.8	-10.7	19.0	107	3486	2	0.59	2.09	0.70	1.80	2	0.71	3.04	0.80	2.53	2	0.84	250.06	0.89	208.48	17.9	20.1	0.1	5.0	545	948	481	18.0	20.0	149	3486	1	0.05	0.55	2	0.87	198.18	599	0.2	4.9	107	2147	2	0.23	1.08	2	0.89	126.74	473	11.0	26.9	-8.8	14.4	547	906	2	0.52	1.96	2	0.59	2.30	2	0.41	69.60
HONGSHE	Cao et al.	118	100118	Hongsheng	123.716667	46.666667	Asia	2133	6.1	29.8	-11.1	19.0	35	3486	2	0.56	2.29	0.66	2.02	2	0.74	3.34	0.82	2.85	2	0.86	233.08	0.90	196.83	18.4	20.0	1.5	2.4	234	416	416	18.4	19.9	149	3486	1	0.06	0.40	2	0.87	188.84	120	1.5	2.3	149	2030	1	0.21	0.22	1	0.69	149.84	643	6.1	27.1	-11.1	13.1	235	416	2	0.42	2.05	2	0.81	2.53	1	0.13	44.27
JINCHU	Cao et al.	119	100119	Jinchuan	126.383333	42.350000	Asia	1909	10.7	29.8	-10.3	20.6	46	3486	2	0.58	2.26	0.69	1.96	2	0.71	3.05	0.80	2.55	2	0.83	253.80	0.89	206.97	21.2	22.0	6.2	9.8	767	1275	129	21.3	22.0	107	3084	1	0.01	0.23	2	0.87	251.97	323	6.2	9.8	46	3421	1	0.16	0.94	2	0.87	258.71	333	11.0	28.5	-4.8	16.7	769	1274	2	0.79	2.14	2	0.81	2.50	2	0.50	119.92
SONGJI	Cao et al.	121	100121	Songjiang	128.325833	42.580500	Asia	1745	11.0	29.8	-10.3	19.0	107	3486	2	0.57	2.15	0.68	1.86	2	0.70	2.99	0.79	2.54	2	0.84	250.34	0.89	210.15	18.4	21.3	0.7	6.5	417	681	646	18.4	21.3	149	3486	1	0.05	0.75	2	0.86	209.05	760	0.8	6.4	107	2147	2	0.25	1.29	2	0.88	150.38	399	11.3	27.5	-8.8	14.2	418	678	2	0.57	2.27	2	0.69	3.10	2	0.39	53.52
XIAONAN	Cao et al.	122	100122	Xiaonan	125.216667	43.883333	Asia	2002	7.8	29.8	-10.7	19.0	35	3486	2	0.58	2.33	0.68	2.05	2	0.71	3.11	0.80	2.61	2	0.84	247.56	0.89	202.47	16.7	20.4	1.0	4.8	237	790	836	16.8	20.4	139	3486	1	0.13	0.97	2	0.85	212.70	551	1.1	4.7	107	2147	1	0.09	0.92	2	0.89	129.75	1147	7.8	27.5	-10.7	14.2	237	789	2	0.43	2.26	2	0.59	2.87	2	0.75	84.42
KARAS	Cao et al.	123	100123	Karas'e Lake	70.220000	53.026667	Asia	2071	2.2	34.0	-10.0	17.3	15	992	2	0.48	3.51	0.66	2.83	2	0.57	3.26	0.70	2.71	2	0.71	100.29	0.83	76.94	16.4	21.7	-0.6	4.1	349	512	953	16.4	21.7	27	828	2	0.40	0.96	2	0.70	80.59	836	-0.6	4.0	28	828	2	0.35	0.96	2	0.74	81.07	593	4.6	26.3	-10.0	10.0	350	512	1	0.72	1.92	1	0.72	2.27	1	0.26	39.97
KOTYR	Cao et al.	124	100124	Kotyrkol	70.416667	52.966667	Asia	2045	2.0	34.0	-10.3	17.3	15	992	2	0.48	3.55	0.67	2.84	2	0.56	3.28	0.70	2.71	2	0.71	100.96	0.82	77.76	13.8	19.5	-3.3	1.5	323	507	1098	13.8	19.4	27	828	1	0.36	1.21	2	0.66	84.41	769	-3.3	1.5	28	992	1	0.18	1.32	2	0.75	92.44	685	4.6	28.8	-10.0	13.4	325	507	2	0.77	2.23	2	0.71	2.39	1	0.36	44.76
OZERKI2	Cao et al.	125	100125	Ozerki	80.466667	50.400000	Asia	2067	0.6	34.0	-12.4	15.6	15	992	2	0.44	3.83	0.60	3.22	2	0.51	3.36	0.64	2.90	2	0.74	99.38	0.85	76.07	12.5	20.4	-3.5	3.0	88	493	1321	12.6	20.3	27	834	1	0.28	1.71	2	0.72	91.33	1136	-3.4	2.9	28	992	1	0.28	1.51	2	0.75	91.60	1265	1.9	30.4	-10.4	13.6	88	493	1	0.56	3.59	2	0.57	3.11	2	0.63	66.84
PASHENNOE	Cao et al.	126	100126	Pashennoe Lake	75.400000	49.370000	Asia	1949	0.6	34.0	-12.4	16.5	15	992	1	0.41	3.93	0.62	3.13	2	0.50	3.35	0.64	2.86	2	0.73	101.82	0.84	77.33	15.2	18.9	-1.2	2.3	187	411	786	15.2	18.8	27	828	1	0.27	0.89	2	0.66	85.84	667	-1.2	2.2	28	803	1	0.23	0.82	2	0.79	79.54	658	4.5	28.8	-10.0	13.4	187	410	2	0.65	3.32	1	0.59	2.97	2	0.41	45.63
AKTEREK	Cao et al.	127	100127	Ak Terek	72.833333	41.283333	Asia	1682	-3.0	34.0	-12.4	18.2	15	1158	1	0.48	4.25	0.67	3.43	1	0.46	3.74	0.66	2.98	2	0.70	108.76	0.83	81.48	10.4	18.7	-2.3	4.4	18	243	810	10.5	18.6	27	992	2	0.42	1.90	2	0.75	99.84	939	-2.3	4.3	28	828	1	0.37	1.32	1	0.68	95.93	546	0.6	31.8	-12.4	18.2	25	243	2	0.51	4.97	1	0.48	4.56	1	0.49	49.60
BAKALY_neotoma	Cao et al.	128	100128	Bakaly Lake	71.966667	41.866667	Asia	1649	-3.0	34.0	-12.4	18.2	15	1158	2	0.50	4.10	0.67	3.36	2	0.52	3.59	0.67	2.99	2	0.70	111.17	0.84	82.54	7.8	18.9	-8.6	3.5	-27	278	997	7.8	18.8	27	828	2	0.54	2.14	1	0.68	104.92	1260	-8.5	3.4	28	828	2	0.54	2.12	1	0.63	104.44	607	-3.0	34.0	-12.4	18.2	15	277	2	0.55	4.87	2	0.56	4.31	1	0.53	55.20
KICHIKOL	Cao et al.	129	100129	Kichikol Lake	73.550000	39.983333	Asia	1606	-3.0	34.0	-12.4	18.2	15	828	1	0.50	4.34	0.66	3.59	1	0.42	3.85	0.63	3.09	1	0.63	109.13	0.81	77.97	7.8	16.8	-7.6	1.9	119	222	655	7.9	16.7	28	772	2	0.47	1.81	1	0.65	113.07	1001	-7.5	1.8	28	772	2	0.44	2.04	1	0.57	110.18	229	3.1	31.8	-9.5	17.5	120	222	1	0.55	4.70	1	0.56	3.91	1	0.13	27.64
NIZNEE	Cao et al.	131	100131	Nizhnee Lake	72.950000	41.300000	Asia	1686	-3.0	34.0	-12.4	18.2	15	992	1	0.48	4.24	0.66	3.45	1	0.42	3.74	0.63	3.01	1	0.64	111.80	0.80	83.15	8.6	16.3	-4.1	1.2	79	266	579	8.6	16.3	28	992	2	0.45	1.60	1	0.68	119.77	646	-4.1	1.1	30	992	1	0.22	1.36	1	0.64	115.06	427	-3.0	31.8	-11.0	18.2	80	265	2	0.59	4.42	1	0.55	4.07	1	0.34	44.08
ORTOK_neotoma	Cao et al.	132	100132	Ortok Lake	73.250000	41.233333	Asia	1700	-3.0	34.0	-12.4	18.2	15	992	1	0.49	4.24	0.66	3.48	1	0.42	3.74	0.63	3.01	1	0.63	112.33	0.80	83.38	11.7	14.9	-1.3	1.4	104	216	261	11.7	14.8	28	992	1	0.10	0.90	1	0.75	120.49	434	-1.2	1.4	28	668	2	0.34	0.61	2	0.76	85.39	236	3.1	31.8	-9.5	18.2	106	216	1	0.53	4.83	1	0.53	4.27	1	0.10	28.95
VERKHNEE	Cao et al.	133	100133	Verkhnee Lake	72.950000	41.300000	Asia	1686	-3.0	34.0	-12.4	18.2	15	992	1	0.48	4.24	0.66	3.45	1	0.42	3.74	0.63	3.01	1	0.64	111.80	0.80	83.15	11.5	18.2	-2.8	2.8	97	222	639	11.5	18.1	27	992	2	0.33	1.72	1	0.75	107.34	830	-2.8	2.7	28	802	2	0.41	1.15	1	0.68	96.72	265	3.1	31.8	-9.5	18.2	98	221	1	0.55	4.72	1	0.56	4.16	1	0.14	32.37
CHANGXING	Cao et al.	134	100134	Changxing Island	121.416667	39.583333	Asia	2487	5.4	29.8	-7.9	22.5	35	4360	2	0.64	2.95	0.75	2.47	2	0.77	3.18	0.84	2.65	2	0.85	261.38	0.90	215.59	17.2	22.6	3.8	7.5	353	871	1176	17.3	22.6	103	3486	1	0.18	1.36	2	0.87	228.40	497	3.9	7.5	51	2209	1	0.24	0.90	2	0.87	197.49	1075	5.4	27.5	-7.9	14.2	355	866	1	0.57	3.00	2	0.55	2.70	2	0.65	86.60
MAILI	Cao et al.	135	100135	Maili	122.883333	42.866667	Asia	2219	5.4	29.8	-10.3	20.6	35	3486	2	0.56	2.76	0.70	2.26	2	0.71	3.07	0.80	2.57	2	0.84	241.31	0.90	196.27	16.2	22.0	1.7	6.4	274	761	1213	16.2	21.9	116	3486	1	0.15	1.45	2	0.85	221.35	790	1.8	6.3	107	2147	2	0.25	1.14	2	0.86	157.79	1145	5.4	27.5	-10.3	14.2	275	760	1	0.47	2.78	2	0.58	2.81	2	0.68	82.85
ACHITNUR8	Cao et al.	136	100136	Achit Nur 8	90.600000	49.500000	Asia	2336	0.6	34.0	-12.4	15.6	15	992	1	0.51	4.01	0.66	3.37	2	0.48	3.44	0.63	2.93	2	0.63	105.18	0.76	84.83	15.5	20.6	-1.1	3.5	90	319	798	15.6	20.5	27	828	1	0.13	1.15	2	0.71	82.81	848	-1.1	3.4	28	828	1	0.11	1.16	2	0.62	95.33	946	2.2	29.2	-10.0	13.3	91	319	1	0.51	3.88	1	0.56	3.25	1	0.25	51.49
DABANUR	Cao et al.	137	100137	Daba Nur Lake	98.794444	48.200000	Asia	2577	1.9	34.0	-10.4	15.6	15	992	1	0.58	3.66	0.73	2.93	1	0.52	3.33	0.67	2.77	1	0.55	115.82	0.71	93.49	11.6	18.5	-2.4	1.3	277	400	947	11.7	18.4	46	992	1	0.21	1.78	1	0.59	109.69	708	-2.4	1.2	58	858	1	0.10	0.94	1	0.54	99.41	717	1.9	25.0	-10.4	9.4	277	400	2	0.73	2.90	2	0.64	2.48	1	0.07	33.01
DOODNUR	Cao et al.	138	100138	Dood Nur Lake	99.383333	51.333333	Asia	2471	1.9	34.0	-10.4	15.6	15	992	1	0.55	3.59	0.70	2.90	2	0.59	3.13	0.69	2.72	2	0.56	105.12	0.68	89.55	12.8	16.9	-5.3	-0.6	327	464	568	12.9	16.9	46	802	1	0.14	1.14	2	0.62	93.96	783	-5.2	-0.7	65	992	1	0.12	1.23	2	0.56	98.16	628	4.6	27.5	-10.3	13.3	327	463	2	0.74	2.87	2	0.67	2.60	1	0.18	36.10
GUNNURLA	Cao et al.	139	100139	Gun Nur Lake	106.600000	50.250000	Asia	2567	1.9	34.0	-10.9	15.6	15	992	1	0.53	3.60	0.70	2.90	2	0.60	3.29	0.70	2.90	2	0.56	116.20	0.67	100.91	14.2	19.7	-4.0	0.5	266	457	1022	14.3	19.6	40	864	1	0.11	1.33	2	0.60	97.03	822	-4.0	0.5	65	992	1	0.13	1.28	1	0.48	111.88	1001	1.9	27.5	-10.9	13.3	267	456	2	0.72	2.79	2	0.69	2.75	1	0.17	48.61
HOTONNUR2	Cao et al.	140	100140	Hoton-Nur-2	88.345833	48.621667	Asia	2296	0.6	34.0	-12.4	15.6	15	992	1	0.52	4.00	0.67	3.33	1	0.42	3.62	0.63	2.89	2	0.64	102.54	0.76	83.21	10.8	16.1	-2.7	1.0	220	485	599	10.9	16.0	28	992	1	0.10	1.37	2	0.60	116.80	683	-2.6	0.9	30	739	1	0.10	0.92	2	0.67	91.33	1209	1.9	28.8	-10.4	13.4	221	484	2	0.65	3.06	2	0.52	2.72	2	0.46	55.95
HOVSGOLC8	Cao et al.	141	100141	Hovsgol Lake C8	100.500000	51.100000	Asia	2452	1.9	34.0	-10.4	15.6	15	992	1	0.55	3.66	0.71	2.93	2	0.59	3.14	0.69	2.74	1	0.52	117.07	0.70	93.53	9.6	21.9	-7.1	0.2	393	640	1776	9.6	21.9	35	992	1	0.35	2.66	1	0.49	118.27	1112	-7.1	0.2	65	992	1	0.18	1.82	2	0.50	106.04	840	4.3	27.5	-9.2	13.3	393	634	1	0.66	2.76	2	0.68	2.66	1	0.20	54.99
KHONINNU	Cao et al.	142	100142	Khonin Nuga-River Terrace	107.287500	49.080000	Asia	2526	1.9	34.0	-10.7	15.6	15	1328	1	0.54	3.62	0.70	2.95	1	0.54	3.43	0.68	2.90	2	0.59	116.93	0.69	102.63	12.4	17.8	-4.9	-0.3	356	545	785	12.5	17.7	46	992	1	0.11	1.50	2	0.61	107.91	783	-4.8	-0.3	65	992	1	0.15	1.23	2	0.50	112.28	741	4.3	27.5	-10.3	13.9	357	544	2	0.74	2.59	2	0.67	2.67	1	0.28	45.79
UGIINUR	Cao et al.	143	100143	Lake Ugii Nuur	102.766670	47.766667	Asia	2542	1.9	34.0	-10.4	15.6	15	1328	1	0.57	3.72	0.73	2.96	2	0.61	3.21	0.71	2.81	2	0.70	113.90	0.78	97.49	13.3	18.2	-1.5	2.0	277	407	681	13.4	18.1	46	828	1	0.16	1.21	2	0.70	90.63	658	-1.4	2.0	58	858	1	0.11	0.95	1	0.63	101.65	725	1.9	25.0	-10.4	9.4	278	407	2	0.75	2.82	2	0.66	2.41	1	0.12	34.32
YOLINAM	Cao et al.	145	100145	Yolin Am	104.100000	43.433333	Asia	2841	1.9	34.0	-10.4	20.0	15	1611	1	0.59	3.82	0.74	3.02	2	0.64	3.36	0.74	2.90	1	0.73	129.75	0.81	109.76	6.3	15.1	-5.1	0.6	288	411	1066	6.4	15.0	58	992	1	0.33	1.93	1	0.53	126.78	1103	-5.0	0.6	65	992	1	0.14	1.49	2	0.54	104.48	700	1.9	24.3	-10.4	9.4	288	410	2	0.73	2.87	2	0.64	2.46	1	0.12	33.23
HAIYUAN	Cao et al.	146	100146	Haiyuan	105.966667	36.433333	Asia	2830	1.9	34.0	-10.4	25.1	15	2852	2	0.70	3.79	0.80	3.08	2	0.80	3.62	0.87	3.02	2	0.87	217.29	0.93	155.58	11.8	23.1	0.3	7.9	87	878	1432	11.8	23.0	35	2852	2	0.35	2.55	2	0.89	182.33	1002	0.4	7.9	35	2209	1	0.29	1.76	2	0.78	146.51	2089	1.9	27.6	-10.4	20.0	89	864	1	0.61	3.65	2	0.54	3.30	1	0.60	112.50
SOUTHCHINSEAC4	Cao et al.	147	100147	South China Sea C4	108.066667	18.383333	Asia	983	4.2	29.8	-7.2	25.7	414	4360	2	0.81	3.31	0.85	2.90	2	0.85	3.26	0.88	2.91	2	0.77	283.96	0.82	246.88	23.7	24.4	14.1	15.6	999	1172	22											105	14.3	15.6	812	2710	2	0.49	0.25	2	0.75	184.33	82	15.7	28.5	11.3	16.7	1010	1165	2	0.40	1.28	1	0.01	0.87	2	0.60	28.83
AYONGWA	Cao et al.	149	100149	Ayongwama Co	98.198167	34.830500	Asia	2715	-3.0	34.0	-12.4	24.4	15	1904	2	0.63	4.09	0.75	3.39	2	0.72	3.87	0.80	3.24	2	0.84	162.18	0.90	131.10	17.9	19.3	4.4	5.3	441	588	143	17.9	19.3	27	1743	1	0.16	0.41	1	0.62	147.20	104	4.4	5.3	30	743	1	0.07	0.30	1	0.75	93.60	350	4.2	27.5	-7.2	13.9	442	588	2	0.79	2.89	2	0.76	2.63	1	0.18	39.15
DABSANCK181	Cao et al.	151	100151	Dabsan Lake CK1/81	95.500000	37.100000	Asia	2794	-3.0	34.0	-12.4	21.2	15	1832	2	0.57	4.03	0.70	3.37	2	0.62	3.68	0.73	3.17	1	0.76	152.39	0.85	119.74	9.8	26.8	-2.9	10.5	-119	600	2171	9.8	26.7	25	1743	2	0.53	3.23	2	0.82	132.84	1893	-2.8	10.5	27	1328	1	0.46	2.50	2	0.71	114.85	2252	-3.0	34.0	-12.4	15.6	15	600	1	0.54	4.12	1	0.49	3.61	2	0.58	100.81
DASHUI	Cao et al.	152	100152	Dashuitang	100.333333	37.133333	Asia	2862	-3.0	34.0	-12.4	23.2	15	2250	2	0.64	3.96	0.76	3.25	2	0.72	3.74	0.81	3.10	2	0.83	162.51	0.89	133.69	10.7	19.3	-1.4	4.6	183	625	1167	10.8	19.2	28	1743	1	0.27	2.13	1	0.64	136.03	1084	-1.3	4.5	28	858	1	0.22	1.45	2	0.65	109.30	1825	-3.0	27.5	-11.0	13.9	184	624	1	0.64	3.33	1	0.56	3.02	1	0.45	88.18
DOUCO	Cao et al.	153	100153	Douco Lake	99.183300	35.316700	Asia	2777	-3.0	34.0	-12.4	24.4	15	2250	2	0.64	4.07	0.76	3.38	2	0.73	3.86	0.81	3.24	2	0.84	169.56	0.90	137.60	13.6	18.2	-0.6	6.5	290	510	511	13.7	18.1	27	1010	1	0.12	1.18	2	0.83	101.66	1073	-0.6	6.5	27	858	1	0.23	1.75	2	0.67	112.20	928	1.9	27.5	-10.4	13.3	290	510	2	0.75	2.90	2	0.67	2.69	1	0.29	52.27
GOUNONGKX1	Cao et al.	154	100154	Gounong Co KX-1	92.150000	34.633333	Asia	2364	-3.0	34.0	-12.4	21.2	15	1743	2	0.57	4.10	0.70	3.44	2	0.63	3.73	0.73	3.19	1	0.79	138.38	0.88	104.52	6.4	29.0	-5.2	9.6	-36	481	2190	6.5	28.9	25	1743	2	0.59	3.69	1	0.80	138.23	1849	-5.1	9.6	27	1328	1	0.50	2.91	1	0.69	123.22	1609	-3.0	34.0	-12.4	15.6	15	480	1	0.50	4.49	1	0.49	3.81	2	0.56	83.39
HALALI	Cao et al.	155	100155	Halali	99.783333	36.716667	Asia	2850	-3.0	34.0	-12.4	23.2	15	2250	2	0.63	4.00	0.76	3.26	2	0.71	3.77	0.81	3.10	2	0.83	163.26	0.89	133.74	15.1	21.3	-0.2	4.7	191	286	837	15.2	21.2	40	2250	1	0.29	1.52	2	0.84	104.99	850	-0.2	4.6	28	858	1	0.18	1.23	2	0.69	108.86	463	-3.0	24.6	-11.0	9.4	191	286	2	0.58	3.26	1	0.58	2.82	1	0.10	25.42
HURLEGHL5-2	Cao et al.	156	100156	Hurleg Lake HL05-2	96.900000	37.283333	Asia	2827	-3.0	34.0	-12.4	21.9	15	1832	2	0.57	4.06	0.70	3.40	2	0.63	3.72	0.73	3.22	2	0.78	148.10	0.85	123.78	14.5	21.3	0.2	5.9	54	315	974	14.5	21.3	27	1743	1	0.25	1.69	2	0.82	106.43	1004	0.2	5.8	27	858	1	0.21	1.41	2	0.70	110.92	962	-3.0	29.2	-12.4	12.4	54	314	1	0.41	4.34	1	0.53	3.45	1	0.32	59.08
KOUCHA	Cao et al.	157	100157	Koucha Lake	97.240500	34.011167	Asia	2612	-3.0	34.0	-12.4	24.4	15	1904	2	0.64	4.12	0.75	3.44	2	0.72	3.87	0.80	3.31	2	0.85	161.83	0.90	130.20	6.6	13.9	-5.3	0.6	271	425	932	6.7	13.9	30	929	1	0.20	1.76	2	0.64	114.21	800	-5.2	0.6	30	782	1	0.15	1.54	1	0.58	102.13	755	1.9	27.4	-10.4	13.1	272	425	2	0.73	2.87	2	0.66	2.52	1	0.19	40.87
LUANHAILH2	Cao et al.	158	100158	Luanhaizi LH2	101.350000	37.593333	Asia	2898	-3.0	34.0	-12.4	23.2	15	2250	2	0.64	3.94	0.76	3.25	2	0.72	3.74	0.81	3.10	2	0.83	162.03	0.89	134.78	7.6	16.9	-4.2	1.7	208	388	1236	7.7	16.8	30	1010	1	0.35	2.09	2	0.64	124.41	1073	-4.1	1.6	30	992	1	0.18	1.47	1	0.55	114.37	1005	-3.0	24.4	-11.0	9.4	208	388	1	0.59	3.49	1	0.54	2.86	1	0.10	47.53
QINGHAIQH2000	Cao et al.	159	100159	Qinghai Lake QH-2000	100.516667	36.666667	Asia	2878	-3.0	34.0	-12.4	23.4	15	2250	2	0.65	3.95	0.76	3.24	2	0.73	3.73	0.82	3.08	2	0.84	164.52	0.90	135.39	10.8	24.2	-2.9	5.9	132	550	1781	10.8	24.2	28	2250	1	0.40	3.01	2	0.80	132.98	1450	-2.8	5.8	28	858	1	0.35	1.88	2	0.63	110.96	1749	-3.0	28.0	-11.0	13.9	133	550	1	0.64	3.49	1	0.57	3.04	1	0.39	83.40
FOYECHI	Cao et al.	162	100162	Foyechi	107.733333	33.950000	Asia	2484	1.9	34.0	-10.4	25.7	15	4360	2	0.72	3.61	0.80	3.03	2	0.82	3.44	0.87	2.98	2	0.86	235.51	0.91	182.24	10.2	17.6	0.5	7.2	587	1052	651	10.2	17.5	46	4360	1	0.32	1.87	2	0.71	205.95	864	0.6	7.2	36	2209	1	0.25	1.58	2	0.75	152.01	432	4.2	28.5	-4.5	20.0	588	1049	2	0.64	3.41	2	0.66	3.20	2	0.68	69.27
JIANGCUN	Cao et al.	163	100163	Jiangcun	109.500000	34.400000	Asia	2523	1.9	34.0	-10.4	25.7	15	4360	2	0.72	3.53	0.80	2.99	2	0.82	3.40	0.87	3.00	2	0.86	237.04	0.91	186.97	10.9	23.8	-2.3	7.9	107	738	1498	11.0	23.7	35	4360	2	0.46	2.67	2	0.86	214.71	1302	-2.3	7.8	35	2209	1	0.36	2.14	2	0.78	137.11	1624	1.9	27.5	-10.4	14.2	107	737	1	0.65	3.35	2	0.54	2.86	1	0.55	102.25
LIUSHUW	Cao et al.	164	100164	Liushuwan	108.833333	37.766667	Asia	2766	1.9	34.0	-10.4	24.3	15	4360	2	0.69	3.73	0.80	3.02	2	0.79	3.59	0.85	3.04	2	0.85	223.90	0.91	174.66	13.4	22.3	0.8	4.5	36	597	1193	13.5	22.2	35	4360	1	0.25	2.06	2	0.88	192.10	596	0.9	4.4	46	864	1	0.11	0.94	2	0.77	97.37	1782	1.9	31.7	-10.4	14.2	36	597	1	0.62	3.66	1	0.53	3.22	1	0.53	92.67
LUOCHU	Cao et al.	165	100165	Luochuan	109.416667	35.750000	Asia	2600	1.9	34.0	-10.4	25.7	15	4360	2	0.71	3.57	0.80	2.98	2	0.82	3.47	0.87	3.02	2	0.86	233.70	0.91	183.50	9.5	25.7	-2.0	6.4	42	699	1820	9.6	25.7	35	4360	2	0.55	2.87	2	0.87	215.96	1185	-1.9	6.3	40	1437	1	0.31	1.89	2	0.72	109.13	1693	1.9	30.9	-10.4	14.2	42	698	1	0.64	3.42	2	0.56	2.90	1	0.55	102.55
XIEHUSO4	Cao et al.	166	100166	Xiehu Lake SO4	122.516667	37.383333	Asia	2373	5.4	29.8	-6.2	22.7	35	4360	2	0.65	2.87	0.77	2.33	2	0.78	3.16	0.85	2.66	2	0.84	267.49	0.89	220.74	19.4	25.0	3.0	10.3	270	1047	926	19.5	24.8	98	3486	1	0.28	1.27	2	0.89	249.56	883	3.1	10.3	35	4360	1	0.43	1.50	2	0.86	232.46	1276	5.4	28.5	-6.2	16.1	271	1046	1	0.58	2.82	2	0.56	2.68	2	0.72	95.97
GUANGFU	Cao et al.	168	100168	Guangfulin	121.191667	31.064500	Asia	2097	5.4	29.8	-6.2	25.7	98	4360	2	0.67	3.09	0.78	2.50	2	0.82	3.07	0.87	2.61	2	0.82	294.04	0.88	235.51	17.5	26.9	6.8	12.1	389	1188	1338	17.6	26.8	98	3486	2	0.50	1.78	2	0.87	271.58	375	6.9	12.1	98	4360	2	0.39	1.15	2	0.81	345.52	914	5.4	28.5	-6.2	20.0	390	1178	2	0.70	3.04	2	0.73	2.68	2	0.80	88.95
HEMING2007	Cao et al.	169	100169	Heming_2007	121.866667	30.950000	Asia	2054	6.2	29.8	-4.0	25.7	98	4360	2	0.65	3.02	0.77	2.43	2	0.81	3.04	0.87	2.58	2	0.82	293.93	0.88	236.19	19.2	29.9	6.1	20.5	525	1742	1399	19.3	29.8	98	3486	2	0.59	1.99	2	0.85	282.99	976	6.2	20.4	98	4360	2	0.70	2.23	2	0.75	355.72	1069	6.2	29.8	-3.4	25.7	529	1741	2	0.70	3.19	2	0.83	2.96	2	0.81	175.52
JIADINGP5	Cao et al.	170	100170	Jiading P5	121.233333	31.383333	Asia	2150	5.4	29.8	-6.2	25.7	98	4360	2	0.66	3.07	0.78	2.49	2	0.81	3.14	0.87	2.64	2	0.82	292.80	0.89	232.51	18.8	23.8	5.4	10.8	677	1618	953	18.8	23.8	107	3486	1	0.24	1.27	2	0.89	245.74	437	5.4	10.7	98	4360	2	0.38	1.13	2	0.82	306.38	703	6.2	29.8	-3.4	25.7	678	1617	2	0.73	2.96	2	0.82	2.86	2	0.75	152.16
MAQIAO	Cao et al.	171	100171	Maqiao	121.300000	31.100000	Asia	2100	5.4	29.8	-6.2	25.7	98	4360	2	0.66	3.08	0.78	2.49	2	0.82	3.06	0.87	2.61	2	0.82	294.57	0.89	234.87	-6.3	28.9	-6.9	14.3	439	1239	2033	5.4	28.8	98	4360	2	0.65	3.06	2	0.82	293.95	1502	-6.2	14.3	98	4360	2	0.61	2.58	2	0.82	254.73	858	5.4	29.3	-6.2	25.1	441	1237	2	0.70	3.10	2	0.77	2.67	2	0.80	95.33
SHANGHAICY	Cao et al.	172	100172	Shanghai CY	121.400000	31.216667	Asia	2107	6.2	29.8	-4.0	25.7	98	4360	2	0.66	3.06	0.78	2.48	2	0.81	3.08	0.87	2.62	2	0.82	294.86	0.88	235.59	13.1	25.2	1.7	13.3	419	1255	1417	13.3	25.1	98	4360	1	0.32	2.19	2	0.84	285.35	1204	1.8	13.3	98	4360	2	0.57	2.17	2	0.83	263.79	888	6.2	29.3	-4.0	25.1	420	1255	2	0.70	3.06	2	0.77	2.67	2	0.80	99.88
ZHAOXI	Cao et al.	174	100174	Zhaoxiang	121.183333	31.133333	Asia	2104	5.4	29.8	-6.2	25.7	98	4360	2	0.67	3.08	0.78	2.49	2	0.82	3.07	0.87	2.61	2	0.82	293.73	0.89	235.18	19.5	28.2	6.9	18.1	672	1774	1152	19.5	28.1	98	3486	2	0.49	1.76	2	0.87	270.61	798	6.9	18.1	98	4360	2	0.67	1.96	2	0.77	343.05	880	6.2	29.8	-3.4	25.7	672	1772	2	0.74	2.98	2	0.84	2.96	2	0.78	179.79
GANHAI	Cao et al.	175	100175	Ganhai Lake	112.193833	39.885000	Asia	2673	1.9	34.0	-10.4	22.7	15	4360	2	0.66	3.47	0.77	2.91	2	0.78	3.41	0.84	2.95	2	0.85	242.44	0.91	195.76	15.1	22.8	-2.2	10.4	189	966	1351	15.1	22.8	35	3486	1	0.19	1.87	2	0.88	199.93	1641	-2.2	10.4	35	4360	1	0.40	2.41	2	0.80	179.98	1857	1.9	27.7	-10.4	20.0	189	963	1	0.59	3.29	2	0.56	3.14	2	0.72	104.00
WANGGU	Cao et al.	177	100177	Wangguantun	113.666667	40.266667	Asia	2582	1.9	29.8	-10.4	22.7	35	4360	2	0.68	3.35	0.77	2.80	2	0.79	3.33	0.85	2.88	2	0.86	244.65	0.91	196.48	13.5	23.9	0.8	8.4	108	770	1574	13.5	23.8	35	4360	1	0.24	2.24	2	0.87	220.62	1133	0.8	8.4	35	3192	1	0.33	1.76	2	0.81	163.47	1746	1.9	27.5	-10.4	20.0	110	770	1	0.60	3.27	2	0.53	2.97	2	0.68	102.27
DAHAIZI	Cao et al.	178	100178	Dahaizi Lake	102.666667	27.833333	Asia	1944	-3.0	29.8	-11.0	25.7	30	4360	2	0.76	3.67	0.83	3.07	2	0.84	3.34	0.88	2.94	2	0.86	228.53	0.90	197.35	16.7	19.5	9.5	13.8	1140	1642	123	16.8	19.5	40	2250	1	0.20	0.79	1	0.74	171.16	104	9.5	13.8	30	4360	1	0.16	1.18	1	0.59	367.95	177	19.6	29.8	9.3	25.7	1141	1640	2	0.52	1.76	2	0.72	1.98	1	0.35	132.78
HONGYUBA	Cao et al.	179	100179	Hongyuan Baihe	102.533333	32.800000	Asia	2434	-3.0	34.0	-11.0	25.7	15	2250	2	0.70	3.90	0.80	3.20	2	0.80	3.58	0.86	3.07	2	0.88	179.38	0.92	148.60	-3.6	15.7	-10.4	6.2	424	931	1044	-3.0	15.7	43	1010	2	0.44	2.34	2	0.68	109.03	1520	-10.4	6.1	40	858	1	0.39	2.73	1	0.57	111.10	718	4.2	27.5	-7.2	20.0	425	931	1	0.65	3.49	1	0.62	3.34	1	0.47	90.59
JIANSHA	Cao et al.	180	100180	Jinsha	104.066667	30.680000	Asia	2241	-3.0	34.0	-11.0	25.7	15	4360	2	0.73	3.68	0.81	3.12	2	0.83	3.38	0.87	3.01	1	0.85	233.40	0.90	187.00	5.4	32.6	-4.1	15.9	-234	1233	2206	5.4	31.7	28	4360	2	0.73	3.61	1	0.85	234.45	1730	-4.0	15.9	15	4360	2	0.70	2.85	2	0.82	156.08	1814	-3.0	34.0	-11.0	25.1	15	1232	1	0.67	3.68	2	0.70	3.10	2	0.82	113.65
NALENG	Cao et al.	181	100181	Naleng Co	99.755167	31.113333	Asia	2347	-3.0	34.0	-12.4	25.7	15	2250	2	0.69	4.07	0.80	3.32	2	0.79	3.70	0.85	3.16	2	0.88	182.71	0.92	151.04	4.2	15.0	-4.9	1.9	305	642	969	4.2	14.9	30	929	1	0.29	2.34	1	0.59	116.52	759	-4.9	1.8	30	858	1	0.16	1.76	1	0.61	109.71	926	1.9	27.5	-10.4	13.9	305	642	2	0.76	2.97	2	0.70	2.71	1	0.47	69.32
SHAYEMA	Cao et al.	182	100182	Shayema Lake	102.216667	28.583333	Asia	2008	-3.0	34.0	-11.0	25.7	15	4360	2	0.75	3.74	0.82	3.12	2	0.83	3.37	0.87	2.99	2	0.86	225.99	0.90	194.79	15.7	21.6	6.6	13.9	709	1203	413	15.7	21.6	36	2735	2	0.36	1.36	2	0.92	158.84	330	6.7	13.8	28	4360	1	0.31	1.58	1	0.72	234.39	283	6.2	28.5	-3.4	20.0	712	1201	2	0.82	2.91	2	0.78	2.92	2	0.81	71.39
YIDUN	Cao et al.	183	100183	Yidun Lake	99.551667	30.298333	Asia	2250	-3.0	34.0	-12.4	25.7	15	2250	2	0.70	4.09	0.80	3.31	2	0.80	3.70	0.86	3.12	2	0.88	183.46	0.92	150.26	4.6	14.4	-6.1	5.2	400	741	911	4.7	14.3	30	929	1	0.25	2.23	1	0.58	117.38	1181	-6.1	5.2	30	858	1	0.36	2.36	2	0.66	107.64	691	4.2	27.5	-7.2	14.2	401	741	1	0.69	3.17	1	0.61	2.84	1	0.31	81.87
ZOIGEDC	Cao et al.	184	100184	Zoige DC	102.545000	33.904500	Asia	2510	-3.0	34.0	-12.4	25.7	15	2250	2	0.70	3.93	0.79	3.26	2	0.79	3.63	0.85	3.11	2	0.87	180.07	0.92	146.85	-9.5	28.7	-9.2	9.4	-152	1136	2422	-3.0	28.7	25	2250	2	0.69	3.84	2	0.87	172.11	1889	-8.3	9.3	32	1328	1	0.48	3.12	1	0.65	115.60	2122	-3.0	34.0	-12.4	20.0	15	1133	1	0.63	3.94	2	0.63	3.40	1	0.76	120.71
ZOIGERH	Cao et al.	185	100185	Zoige RH	103.350000	33.950000	Asia	2523	-3.0	34.0	-11.0	25.7	15	2250	2	0.71	3.89	0.80	3.18	2	0.81	3.58	0.86	3.04	2	0.88	179.60	0.92	145.63	5.2	18.8	-4.6	4.5	300	594	1242	5.3	18.8	46	1743	1	0.43	2.81	1	0.66	121.68	1226	-4.6	4.4	46	858	1	0.34	2.01	2	0.62	108.05	905	1.9	27.5	-10.4	13.9	301	594	2	0.77	2.96	2	0.70	2.66	1	0.41	61.68
CHITSAI	Cao et al.	186	100186	Chitsai Lake	121.236167	23.752833	Asia	1027	11.0	29.8	-0.9	25.7	360	4360	2	0.60	2.64	0.67	2.39	2	0.78	2.74	0.83	2.43	2	0.71	351.04	0.82	275.93	15.7	22.0	8.8	15.9	1653	2278	281	16.2	22.0	368	3486	2	0.38	1.32	2	0.86	294.93	401	8.8	15.9	377	4360	2	0.58	1.42	2	0.69	361.50	368	16.7	29.1	6.6	24.8	1655	2267	2	0.68	1.99	2	0.78	2.26	2	0.46	118.14
ILAN	Cao et al.	187	100187	Ilan	121.733333	24.750000	Asia	1142	11.0	29.8	-0.9	25.7	305	4360	2	0.59	2.65	0.67	2.36	2	0.79	2.81	0.83	2.52	2	0.74	343.00	0.84	272.76	20.3	26.2	10.4	21.2	1174	2430	493	20.3	26.1	305	3294	1	0.34	1.34	2	0.84	303.10	608	10.4	21.2	415	3486	2	0.62	1.71	2	0.71	324.19	633	15.4	29.8	4.0	25.7	1178	2422	2	0.68	2.04	2	0.79	2.39	2	0.40	208.21
SUNMOON	Cao et al.	188	100188	Sun-moon Lake	120.916667	23.866667	Asia	1046	11.0	29.8	-0.9	25.7	315	4360	2	0.59	2.67	0.66	2.44	2	0.78	2.76	0.82	2.49	2	0.72	349.59	0.82	274.53	19.2	31.0	11.6	24.2	412	2606	888	19.2	29.8	315	3486	2	0.54	2.04	2	0.76	311.17	679	11.6	24.2	415	3136	2	0.66	1.95	2	0.67	306.78	974	11.0	29.8	-0.9	25.7	415	2596	2	0.59	2.73	2	0.78	2.81	2	0.75	281.02
TOUSHE	Cao et al.	189	100189	Toushe Lake	120.900000	23.820000	Asia	1046	11.0	29.8	-0.9	25.7	315	4360	2	0.59	2.67	0.66	2.44	2	0.78	2.76	0.82	2.49	2	0.72	349.59	0.82	274.53	19.3	27.8	11.9	20.4	1197	1862	663	19.3	27.8	315	3486	2	0.50	1.69	2	0.81	307.92	520	12.0	20.4	415	3136	2	0.57	1.49	2	0.72	313.73	383	17.5	29.8	4.7	25.7	1198	1846	2	0.55	2.09	2	0.70	2.45	1	0.32	148.16
BARKOLBLK6E	Cao et al.	190	100190	Barkol Lake BLK06E	92.800000	43.616667	Asia	2743	-3.0	34.0	-12.4	16.8	15	992	1	0.52	4.04	0.68	3.31	1	0.46	3.55	0.62	3.01	1	0.62	123.83	0.79	91.96	12.3	23.2	-1.5	5.6	43	336	1521	12.4	23.1	27	992	2	0.35	2.41	2	0.71	105.80	1377	-1.4	5.5	27	858	1	0.24	1.59	2	0.66	109.31	1224	-3.0	30.9	-12.4	13.4	43	336	2	0.48	4.25	1	0.47	3.67	1	0.33	67.41
BEILIKEK	Cao et al.	191	100191	Beilikekule Lake	89.000000	36.666667	Asia	2343	-3.0	34.0	-12.4	20.0	15	1566	1	0.49	4.21	0.65	3.49	1	0.49	3.92	0.65	3.24	1	0.70	129.74	0.82	100.63	16.2	22.6	0.7	4.3	4	234	575	16.3	22.5	27	1566	1	0.26	1.61	1	0.81	109.91	517	0.7	4.2	28	858	1	0.09	1.00	2	0.73	113.42	660	0.6	34.0	-12.4	15.6	15	234	1	0.39	5.04	1	0.47	4.18	2	0.49	48.79
Bosten	Cao et al.	192	100192	Bosten Lake	86.550000	41.966667	Asia	2326	-3.0	34.0	-12.4	15.6	15	992	1	0.50	4.20	0.66	3.45	1	0.40	3.70	0.59	3.08	1	0.62	119.85	0.78	91.74	12.9	27.4	-1.0	11.1	-32	253	1264	12.9	27.3	25	828	2	0.48	2.80	1	0.69	101.72	1365	-1.0	11.1	27	828	2	0.43	2.36	1	0.69	113.76	778	-3.0	34.0	-12.4	15.6	15	252	1	0.38	5.03	1	0.49	4.12	2	0.51	52.22
CAOTAN2002	Cao et al.	193	100193	Caotanhu 2002	86.023833	44.418333	Asia	2390	-3.0	34.0	-12.4	15.6	15	992	1	0.51	4.10	0.67	3.39	1	0.39	3.65	0.60	2.97	1	0.60	117.80	0.77	90.06	13.3	24.6	-0.2	8.1	-8	365	1150	13.3	24.6	27	828	2	0.32	2.32	1	0.67	95.73	1107	-0.2	8.0	27	828	1	0.30	1.90	1	0.65	113.12	1340	-3.0	34.0	-12.4	15.6	15	365	2	0.50	4.60	1	0.47	4.08	1	0.45	74.70
CHAIWOCKF	Cao et al.	194	100194	Chaiwopu Lake CKF	87.783333	43.550000	Asia	2411	-3.0	34.0	-12.4	15.6	15	992	1	0.51	4.15	0.67	3.41	1	0.41	3.65	0.59	3.04	2	0.64	114.79	0.78	91.10	15.4	28.1	1.6	11.2	-46	274	1049	15.5	28.0	25	828	2	0.57	2.15	2	0.76	88.26	853	1.6	11.2	27	828	1	0.33	2.11	2	0.75	108.24	913	-3.0	34.0	-12.4	15.6	15	274	2	0.46	4.60	1	0.50	3.96	2	0.53	54.52
DAMAGOU	Cao et al.	196	100196	Damagou	80.700000	37.000000	Asia	1877	-3.0	34.0	-12.4	16.8	15	828	1	0.50	4.42	0.66	3.63	1	0.39	3.92	0.60	3.17	1	0.62	116.41	0.79	86.15	3.9	23.2	-2.0	6.1	2	766	1655	4.2	23.2	27	828	1	0.46	3.47	1	0.59	116.51	934	-1.9	6.1	27	828	1	0.29	1.82	1	0.66	110.76	1860	-3.0	34.0	-12.4	16.8	15	763	1	0.50	4.43	1	0.39	3.92	1	0.61	114.25
DAXIGOU	Cao et al.	197	100197	Daxigou	86.850000	43.116667	Asia	2366	-3.0	34.0	-12.4	15.6	15	992	1	0.51	4.17	0.67	3.42	1	0.40	3.68	0.59	3.04	1	0.61	119.27	0.77	90.93	11.7	18.5	-0.5	3.5	80	336	860	11.8	18.4	27	992	1	0.19	1.85	1	0.62	116.28	779	-0.5	3.5	28	828	1	0.11	1.04	2	0.66	108.48	1000	-3.0	29.2	-11.0	13.4	82	336	2	0.53	4.00	2	0.56	3.34	1	0.28	59.70
DONGDAO	Cao et al.	198	100198	Dongdaohaizi B	89.560000	44.696667	Asia	2524	-3.0	34.0	-12.4	15.6	15	992	1	0.51	4.10	0.68	3.35	1	0.42	3.60	0.60	3.00	3	0.65	114.03	0.77	92.02	17.2	30.5	2.4	13.9	-5	220	934	17.2	29.2	25	828	2	0.55	2.01	2	0.75	84.68	824	2.5	13.9	25	828	2	0.38	2.16	2	0.76	103.11	646	0.6	34.0	-12.4	15.6	15	219	1	0.37	5.14	1	0.44	4.23	2	0.49	45.03
EBINUR	Cao et al.	199	100199	Ebinur Lake	82.450000	44.550000	Asia	2229	-3.0	34.0	-12.4	15.6	15	992	1	0.53	4.03	0.67	3.38	1	0.40	3.57	0.61	2.91	2	0.64	103.33	0.77	82.87	12.0	20.0	-3.5	5.0	97	330	1115	12.0	19.9	27	992	2	0.38	1.86	2	0.69	95.65	1437	-3.5	5.0	28	992	1	0.29	1.80	2	0.64	95.17	851	-3.0	30.4	-11.0	13.5	98	330	2	0.56	3.88	2	0.57	3.23	1	0.25	55.72
EBINURSW	Cao et al.	200	100200	Ebinur Lake SW	82.800000	45.000000	Asia	2250	-3.0	34.0	-12.4	15.6	15	992	1	0.53	4.02	0.67	3.36	1	0.41	3.56	0.61	2.90	2	0.64	103.10	0.77	82.64	7.5	24.2	-5.6	5.1	120	469	1825	7.5	24.1	27	992	1	0.46	3.06	2	0.63	102.10	1731	-5.6	5.1	28	992	2	0.39	2.07	2	0.61	101.56	1445	-3.0	28.8	-11.0	13.4	120	469	1	0.59	3.65	1	0.46	3.11	1	0.44	71.07
HUASHUWO	Cao et al.	201	100201	Huashuwozi	89.133333	43.800500	Asia	2501	-3.0	34.0	-12.4	15.6	15	992	1	0.51	4.12	0.67	3.37	1	0.42	3.62	0.60	3.02	3	0.65	114.56	0.78	92.42	11.1	30.3	-2.3	13.8	-64	334	1763	11.1	29.2	25	992	2	0.48	3.21	1	0.62	118.97	1781	-2.2	13.4	25	858	2	0.50	2.57	1	0.69	114.28	1269	-3.0	34.0	-12.4	15.6	15	334	2	0.50	4.39	1	0.49	3.90	2	0.51	65.62
LOPNURK1	Cao et al.	202	100202	Lop Nur K1	90.250000	40.283333	Asia	2468	-3.0	34.0	-12.4	20.0	15	992	1	0.50	4.16	0.67	3.41	1	0.45	3.76	0.63	3.12	3	0.70	116.98	0.81	93.05	11.5	31.6	-1.9	13.3	-45	563	1636	11.5	31.6	25	992	2	0.46	3.22	3	0.75	111.25	1722	-1.9	13.3	25	985	1	0.46	2.77	2	0.75	113.65	1987	-3.0	34.0	-12.4	15.6	15	560	1	0.53	4.28	1	0.47	3.71	2	0.60	91.48
LOPNURLUO4	Cao et al.	203	100203	Lop Nur Luo4	90.250000	40.333333	Asia	2469	-3.0	34.0	-12.4	20.0	15	992	1	0.50	4.16	0.67	3.41	1	0.45	3.76	0.63	3.12	1	0.66	124.06	0.81	93.09	17.4	23.3	1.5	6.3	-123	242	569	17.5	23.2	27	935	1	0.35	1.42	2	0.78	86.56	593	1.5	6.2	27	828	1	0.18	1.17	1	0.72	112.60	752	0.6	34.0	-12.4	15.6	15	241	1	0.39	4.91	1	0.47	4.04	2	0.50	50.01
MANASLM1	Cao et al.	204	100204	Manas Lake LM-1	85.916667	45.833333	Asia	2360	-3.0	34.0	-12.4	15.6	15	992	1	0.52	4.07	0.67	3.38	1	0.40	3.63	0.60	2.95	2	0.62	111.24	0.75	89.45	15.4	24.1	1.1	7.5	-23	246	941	15.4	24.1	27	828	2	0.38	1.70	2	0.76	80.45	667	1.2	7.5	27	828	1	0.26	1.54	2	0.70	103.46	740	0.6	34.0	-12.4	15.6	15	246	2	0.45	4.76	1	0.48	4.14	2	0.52	49.92
NIYA	Cao et al.	205	100205	Niya River	82.766667	37.733333	Asia	2095	-3.0	34.0	-12.4	15.6	15	992	1	0.49	4.29	0.66	3.50	1	0.38	3.78	0.59	3.10	1	0.63	122.81	0.79	91.70	13.6	22.2	-0.7	6.9	6	225	714	13.6	22.1	27	828	1	0.16	2.12	2	0.73	97.03	914	-0.6	6.8	27	828	1	0.18	1.76	1	0.67	120.62	608	0.6	34.0	-12.4	15.6	15	224	1	0.38	5.24	1	0.45	4.35	2	0.49	46.29
SICHANG	Cao et al.	206	100206	Sichanghu Lake	89.143333	44.310000	Asia	2498	-3.0	34.0	-12.4	15.6	15	992	1	0.51	4.11	0.67	3.37	1	0.42	3.62	0.60	3.01	2	0.64	116.61	0.77	92.20	16.1	28.7	3.0	12.7	-16	210	1060	16.1	28.6	25	828	2	0.56	2.12	2	0.76	88.06	714	3.0	12.5	25	812	2	0.37	2.01	1	0.75	104.37	601	0.6	34.0	-12.4	15.6	15	209	1	0.36	5.18	1	0.41	4.27	2	0.50	42.05
TAGLE	Cao et al.	207	100207	Tagle	80.766667	37.033333	Asia	1890	-3.0	34.0	-12.4	16.8	15	828	1	0.50	4.41	0.66	3.63	1	0.39	3.92	0.60	3.17	2	0.65	112.45	0.79	87.66	12.5	30.2	0.7	13.7	-1	302	996	12.5	30.0	25	828	2	0.46	3.35	2	0.72	101.61	784	0.8	13.5	25	828	2	0.44	2.52	1	0.72	109.99	887	-3.0	34.0	-12.4	16.8	15	302	2	0.52	4.59	1	0.49	4.20	2	0.55	58.58
TIANSHUISI2	Cao et al.	208	100208	Tianshuihai SI2	79.516667	35.350000	Asia	1499	-3.0	34.0	-12.4	16.8	15	828	1	0.51	4.70	0.68	3.81	1	0.42	4.06	0.62	3.30	1	0.61	113.46	0.81	79.40	13.2	19.2	-0.2	5.2	134	318	333	13.2	19.1	27	828	1	0.22	1.59	1	0.67	120.57	427	-0.2	5.2	28	828	1	0.18	1.33	1	0.71	110.54	498	-3.0	28.8	-11.0	16.8	135	317	2	0.64	3.84	2	0.61	3.33	1	0.24	44.55
TIANSHUITS95	Cao et al.	209	100209	Tianshuihai TS95	79.516667	35.350000	Asia	1499	-3.0	34.0	-12.4	16.8	15	828	1	0.51	4.70	0.68	3.81	1	0.42	4.06	0.62	3.30	1	0.61	113.46	0.81	79.40	13.0	28.9	-3.6	11.9	-256	725	676	13.0	28.9	25	828	2	0.43	3.54	1	0.67	107.63	1065	-3.6	11.8	25	828	2	0.52	2.77	1	0.66	114.45	1473	-3.0	34.0	-12.4	16.8	15	707	1	0.50	4.74	1	0.42	4.08	1	0.61	107.55
WULUNGU2004	Cao et al.	210	100210	Wulungu Lake WLG-2004	87.300000	47.216667	Asia	2362	0.6	34.0	-12.4	15.6	15	992	1	0.52	4.06	0.67	3.36	1	0.41	3.62	0.62	2.92	2	0.61	110.99	0.75	88.50	14.9	23.2	1.5	7.1	54	276	988	14.9	23.1	27	828	2	0.32	1.67	2	0.74	82.17	524	1.6	7.0	27	828	1	0.21	1.40	1	0.64	111.92	748	0.6	29.2	-12.4	12.7	54	275	1	0.38	4.68	1	0.48	3.77	1	0.33	51.49
XIAOSHA	Cao et al.	213	100213	Xiaoshazi Lake	90.833333	36.783333	Asia	2458	-3.0	34.0	-12.4	20.1	15	1743	1	0.52	4.19	0.68	3.44	2	0.59	3.71	0.70	3.19	1	0.75	132.08	0.85	102.04	14.0	24.3	-0.4	11.6	-20	268	1051	14.0	24.3	27	1743	1	0.30	2.44	1	0.82	118.32	1251	-0.3	11.6	27	1328	1	0.38	2.52	3	0.79	113.63	859	-3.0	34.0	-12.4	15.6	15	267	1	0.40	4.81	1	0.51	3.92	2	0.52	54.22
XIAOXI	Cao et al.	214	100214	Xiaoxigou	89.121667	43.800167	Asia	2501	-3.0	34.0	-12.4	15.6	15	992	1	0.51	4.12	0.67	3.37	1	0.42	3.62	0.60	3.02	2	0.64	116.76	0.78	92.42	12.3	26.5	-1.2	10.5	-41	355	1476	12.4	26.5	25	992	2	0.46	2.76	2	0.70	101.87	1535	-1.2	10.4	27	858	2	0.46	2.23	1	0.69	113.68	1389	-3.0	34.0	-12.4	15.6	15	355	2	0.50	4.56	1	0.47	4.00	1	0.44	73.80
YUETE2	Cao et al.	215	100215	Yuetegan 2	79.916667	37.150000	Asia	1797	-3.0	34.0	-12.4	16.8	15	828	1	0.52	4.42	0.67	3.65	1	0.41	3.90	0.62	3.15	1	0.62	113.93	0.80	82.69	12.3	20.8	-0.8	5.8	64	249	673	12.4	20.7	27	828	1	0.20	2.13	1	0.66	109.71	711	-0.7	5.8	27	828	1	0.22	1.64	1	0.67	108.37	495	0.6	31.8	-12.4	16.8	64	249	1	0.42	4.87	1	0.50	3.95	1	0.29	46.66
BANGONG	Cao et al.	217	100217	Bangong Co Lake	79.000000	30.233333	Asia	924	-3.0	34.0	-12.4	16.8	15	707	1	0.49	5.28	0.67	4.24	1	0.40	4.45	0.59	3.69	2	0.73	93.57	0.82	75.77	7.8	18.6	-3.1	5.2	70	394	451	7.9	18.4	27	707	1	0.41	2.23	2	0.75	94.54	411	-3.0	5.1	28	707	1	0.29	1.79	2	0.80	85.03	493	-3.0	29.2	-11.0	16.8	71	392	1	0.52	5.35	1	0.44	4.36	1	0.49	66.82
HIDDENHL1	Cao et al.	218	100218	Hidden Lake HL1	92.539500	29.812833	Asia	1748	-3.0	34.0	-12.4	23.2	15	1904	2	0.62	4.43	0.73	3.74	2	0.68	3.97	0.78	3.35	2	0.85	157.17	0.90	130.75	6.0	11.7	-3.6	2.7	410	627	611	6.1	11.7	30	858	1	0.17	1.47	2	0.65	110.95	647	-3.6	2.6	28	858	1	0.18	1.57	2	0.71	112.83	400	4.2	25.3	-7.2	12.7	412	626	2	0.65	2.53	2	0.64	2.41	1	0.36	55.01
NGION	Cao et al.	219	100219	Ngion Co	91.500000	30.466667	Asia	1756	-3.0	34.0	-12.4	21.9	15	1904	2	0.59	4.46	0.70	3.82	2	0.65	3.93	0.74	3.41	2	0.85	149.59	0.89	128.93	5.3	10.6	-5.3	-0.4	389	490	511	5.3	10.5	36	782	1	0.13	1.37	2	0.69	95.48	442	-5.3	-0.4	30	782	1	0.13	1.42	1	0.63	100.95	240	4.2	26.3	-7.2	9.7	390	489	2	0.59	2.45	1	0.59	2.26	1	0.17	22.27
PEIKU	Cao et al.	220	100220	Peiku Co	85.333333	28.833333	Asia	1384	-3.0	34.0	-12.4	20.1	15	1743	1	0.50	4.47	0.67	3.61	1	0.46	4.17	0.66	3.34	2	0.78	121.73	0.86	97.16	6.9	11.9	-0.3	3.7	451	680	573	7.0	11.8	30	808	1	0.15	1.38	2	0.64	110.20	381	-0.3	3.6	28	781	1	0.06	1.00	2	0.74	116.54	286	4.2	25.1	-7.2	9.5	451	678	1	0.36	2.59	1	0.38	2.77	1	0.17	59.30
QONGJI	Cao et al.	221	100221	Co Qongjiamong	92.372833	29.812833	Asia	1747	-3.0	34.0	-12.4	23.2	15	1904	2	0.62	4.43	0.73	3.73	2	0.68	3.97	0.78	3.35	2	0.85	157.20	0.90	130.69	5.8	11.1	-4.1	1.8	379	633	507	5.9	11.0	32	858	1	0.15	1.29	2	0.69	101.50	586	-4.0	1.7	28	858	1	0.18	1.55	2	0.71	106.21	480	4.2	25.3	-7.2	12.7	381	633	2	0.62	2.47	2	0.62	2.39	1	0.36	60.40
RENR1	Cao et al.	222	100222	Ren Co R1	96.682833	30.732833	Asia	2151	-3.0	34.0	-12.4	25.7	15	2212	2	0.67	4.32	0.77	3.57	2	0.77	3.91	0.84	3.32	1	0.86	194.50	0.92	148.27	-10.2	31.7	-15.7	10.4	-95	527	2148	-3.0	31.6	25	2212	2	0.67	4.29	1	0.86	194.52	1635	-12.4	10.4	27	1328	1	0.44	3.48	4	0.75	110.80	1311	-3.0	34.0	-12.4	15.6	15	525	1	0.57	4.54	1	0.50	3.82	1	0.58	93.06
SELINCK8803	Cao et al.	223	100223	Selin Co CK8803	88.516667	31.566667	Asia	1688	-3.0	34.0	-12.4	20.1	15	1743	1	0.52	4.49	0.66	3.79	2	0.54	3.93	0.66	3.39	2	0.79	123.55	0.86	101.18	7.6	21.5	-4.0	16.1	-31	1093	1112	7.6	21.4	27	1743	1	0.41	2.87	2	0.76	127.12	1429	-4.0	16.1	15	1743	1	0.54	3.25	1	0.77	128.93	1662	-3.0	34.0	-12.4	20.0	15	1082	1	0.51	4.50	1	0.45	4.11	1	0.73	124.46
WASONG	Cao et al.	224	100224	Wasong section	103.052400	32.991300	Asia	2484	-3.0	34.0	-11.0	25.7	15	2767	2	0.71	3.88	0.81	3.16	2	0.81	3.55	0.87	3.03	2	0.88	192.13	0.92	155.24	0.2	8.4	-8.3	0.7	386	740	328	1.9	8.3	83	782	1	0.14	1.13	1	0.51	97.94	739	-7.5	0.6	65	782	1	0.19	2.09	1	0.56	92.22	767	4.2	27.5	-7.2	14.2	387	739	1	0.70	3.17	1	0.60	2.86	1	0.34	81.84
WUMAQU	Cao et al.	225	100225	Wumaqu	91.383333	30.533333	Asia	1762	-3.0	34.0	-12.4	21.9	15	1904	2	0.59	4.46	0.70	3.82	2	0.65	3.93	0.74	3.41	2	0.85	149.58	0.89	128.76	0.8	11.2	-8.7	-0.9	246	763	657	1.9	11.1	30	858	1	0.13	1.86	2	0.65	107.72	469	-8.5	-1.0	30	753	1	0.17	1.75	2	0.65	94.44	961	-3.0	26.3	-11.0	12.7	247	755	2	0.57	2.96	2	0.57	2.85	1	0.53	98.06
XUGUO	Cao et al.	226	100226	Xuguo Co	90.333333	31.950000	Asia	1829	-3.0	34.0	-12.4	21.2	15	1743	1	0.55	4.43	0.69	3.69	2	0.60	3.88	0.71	3.30	2	0.82	125.50	0.88	102.60	8.2	11.3	-3.2	-0.3	271	498	337	8.3	11.3	30	858	1	0.09	0.82	1	0.57	126.34	326	-3.1	-0.3	30	782	1	0.10	0.81	1	0.67	102.59	587	1.9	26.3	-10.4	10.3	271	498	2	0.66	2.85	2	0.62	2.65	1	0.28	51.19
YANGHU	Cao et al.	227	100227	Yanghu Lake	84.650000	35.433333	Asia	2059	-3.0	34.0	-12.4	20.0	15	950	1	0.48	4.34	0.65	3.59	1	0.44	3.96	0.63	3.25	1	0.67	125.32	0.83	91.10	16.0	21.9	2.9	7.6	-20	487	370	16.1	21.8	27	931	1	0.10	1.53	1	0.77	108.72	381	3.0	7.6	27	929	1	0.17	1.33	1	0.75	108.04	1487	-3.0	34.0	-12.4	15.6	15	486	1	0.49	4.66	1	0.46	4.01	1	0.53	88.35
ZABUZK2	Cao et al.	228	100228	Zabuye Lake ZK2	84.040000	31.210000	Asia	1479	-3.0	34.0	-12.4	20.1	15	1630	1	0.51	4.61	0.66	3.82	1	0.46	4.20	0.64	3.43	3	0.80	114.16	0.87	92.55	-2.6	44.5	-8.3	18.0	-29	1175	1478	0.6	34.0	15	1630	1	0.51	4.60	3	0.80	113.99	1461	-8.3	17.7	15	1566	1	0.47	4.00	3	0.79	113.24	1473	-3.0	34.0	-12.4	20.0	15	1010	1	0.50	4.62	1	0.44	4.19	3	0.78	113.35
ZIGETANG	Cao et al.	229	100229	Zigetang Co	90.900000	32.000000	Asia	1885	-3.0	34.0	-12.4	21.9	15	1743	2	0.58	4.31	0.70	3.64	2	0.62	3.87	0.73	3.27	2	0.85	132.06	0.90	107.06	7.5	12.5	-4.3	0.0	265	442	618	7.6	12.5	30	858	1	0.15	1.34	1	0.62	120.78	495	-4.2	0.0	30	782	1	0.09	1.25	1	0.62	104.70	529	1.9	26.3	-10.4	10.3	265	442	2	0.64	2.89	2	0.60	2.68	1	0.28	44.14
ERHAIES	Cao et al.	230	100230	Erhai Lake ES	100.200000	25.766667	Asia	1633	-3.0	29.8	-11.0	25.7	28	2250	2	0.77	3.67	0.84	3.13	2	0.84	3.46	0.88	3.02	2	0.87	195.60	0.91	167.11	10.1	25.3	4.2	16.6	507	1352	884	10.1	25.3	35	2250	2	0.62	3.00	2	0.89	164.99	537	4.3	16.5	28	2250	2	0.69	2.02	2	0.89	158.19	575	4.2	29.3	-7.2	25.1	509	1328	2	0.77	3.13	2	0.78	3.14	2	0.80	94.59
GANLAN	Cao et al.	231	100231	Ganlanba	100.600000	22.483333	Asia	1503	-3.0	29.8	-11.0	25.7	35	2250	2	0.79	3.50	0.84	3.04	2	0.85	3.42	0.88	3.06	2	0.87	197.19	0.91	168.35	18.4	34.4	10.1	26.8	1091	2127	592	18.4	29.8	35	2250	2	0.59	2.06	2	0.86	227.59	478	10.2	25.7	592	2250	2	0.61	2.25	2	0.62	222.04	416	18.6	29.8	9.3	25.7	1116	2120	2	0.51	1.85	2	0.63	2.02	1	0.49	182.12
MANXING	Cao et al.	232	100232	Manxing Lake	100.483333	21.950000	Asia	1472	-3.0	29.8	-11.0	25.7	40	2250	2	0.80	3.45	0.85	3.02	2	0.85	3.42	0.88	3.05	2	0.87	198.68	0.91	169.15	11.9	22.0	2.7	16.1	736	1199	434	11.9	22.0	40	2250	2	0.45	2.25	2	0.91	134.07	482	2.8	15.9	40	2250	2	0.73	2.15	2	0.89	146.36	204	6.2	28.3	-3.4	20.0	737	1198	2	0.80	2.75	2	0.77	2.92	2	0.83	61.26
HEMUDUHMD1	Cao et al.	234	100234	Hemudu HMD-1	121.350000	29.966667	Asia	1993	6.2	29.8	-4.0	25.7	98	4360	2	0.66	3.03	0.77	2.46	2	0.82	3.03	0.87	2.60	2	0.82	296.70	0.89	237.51	15.9	26.8	6.4	16.7	823	1773	1407	16.1	26.8	98	3486	2	0.48	2.01	2	0.86	276.30	710	6.4	16.6	98	4360	2	0.64	1.90	2	0.79	345.59	553	11.0	29.8	-2.9	25.7	824	1772	2	0.69	2.45	2	0.79	2.68	2	0.60	185.00
KUAHUQ2	Cao et al.	235	100235	Kuahuqiao 2	120.200000	30.250000	Asia	2079	4.6	29.8	-6.3	25.7	98	4360	2	0.69	3.13	0.80	2.54	2	0.82	3.10	0.87	2.64	2	0.83	290.16	0.89	232.72	19.7	24.1	9.2	13.1	837	1569	660	19.7	24.0	107	3294	1	0.19	1.13	2	0.91	245.58	185	9.3	13.0	189	4360	1	0.08	1.09	2	0.74	388.78	326	11.0	29.8	-2.9	25.7	845	1569	2	0.70	2.58	2	0.78	2.56	2	0.55	146.98
LUOJI	Cao et al.	236	100236	Luojiang	121.362533	29.984367	Asia	1993	6.2	29.8	-4.0	25.7	98	4360	2	0.66	3.03	0.77	2.45	2	0.82	3.03	0.87	2.60	2	0.82	296.69	0.89	237.50	22.4	27.8	8.1	18.0	519	2323	533	22.5	27.7	98	3136	2	0.39	1.19	2	0.85	282.34	687	8.1	17.9	98	4360	2	0.66	1.83	2	0.74	352.46	1352	6.2	29.8	-3.4	25.7	520	2318	2	0.69	3.17	2	0.83	3.01	2	0.74	272.59
TIANCHILA	Cao et al.	237	100237	Tianchi Lake	106.310000	37.260000	Asia	2899	1.9	34.0	-10.4	24.4	15	2852	2	0.69	3.75	0.80	3.06	2	0.79	3.66	0.86	3.03	2	0.86	211.56	0.93	154.78	11.4	21.0	-0.8	5.6	297	831	1282	11.5	20.9	40	2710	1	0.29	2.36	2	0.87	153.92	1000	-0.8	5.6	46	1437	1	0.21	1.59	2	0.72	108.04	1464	1.9	27.5	-10.4	20.0	297	831	1	0.65	3.36	2	0.57	3.22	1	0.53	94.43
AKKOL	Cao et al.	238	100238	Akkol Lake	89.625000	50.250000	Asia	2219	0.6	34.0	-12.4	15.6	15	992	1	0.50	4.04	0.65	3.38	2	0.50	3.47	0.64	2.95	2	0.66	98.84	0.78	79.97	10.9	16.4	-4.5	-0.3	324	457	654	11.0	16.4	28	992	1	0.13	1.49	2	0.62	107.36	647	-4.4	-0.4	30	992	1	0.09	1.16	2	0.61	101.91	507	4.2	28.8	-8.0	13.4	324	456	2	0.74	2.72	2	0.55	2.56	1	0.25	35.41
BAIKAL606-3	Cao et al.	239	100239	Baikal CON01-606-3	105.865333	52.083333	Asia	2360	1.9	34.0	-11.2	15.6	15	992	1	0.47	3.57	0.67	2.80	2	0.65	3.24	0.74	2.81	2	0.55	107.87	0.66	94.29	11.9	18.3	-8.0	0.1	261	461	1050	11.9	18.3	46	992	1	0.17	1.74	2	0.54	107.98	1005	-8.0	0.1	65	992	1	0.23	1.96	2	0.51	101.07	1032	1.9	27.5	-11.2	13.3	262	459	2	0.70	2.75	2	0.70	2.82	1	0.16	51.11
GRUSHA	Cao et al.	240	100240	Grusha Lake	89.416667	50.383333	Asia	2202	0.6	34.0	-12.4	15.6	15	992	1	0.50	4.04	0.65	3.38	2	0.50	3.49	0.65	2.94	2	0.66	98.59	0.78	79.33	9.4	18.0	-5.0	0.6	184	483	1030	9.5	18.0	27	992	2	0.32	2.01	2	0.65	104.68	888	-4.9	0.5	32	992	2	0.22	1.45	2	0.63	100.87	1282	1.9	28.8	-10.4	13.4	185	482	2	0.62	3.28	1	0.50	3.04	2	0.52	58.31
KENDEGEL	Cao et al.	241	100241	Kendegelukol Lake	87.641667	50.505500	Asia	2203	0.6	34.0	-12.4	15.6	15	992	1	0.47	4.00	0.63	3.34	2	0.49	3.45	0.63	2.92	2	0.69	97.33	0.81	77.36	9.8	16.5	-5.4	-0.8	272	534	760	9.9	16.4	28	992	2	0.27	1.50	2	0.68	104.38	677	-5.4	-0.8	30	992	1	0.09	1.23	2	0.66	103.65	1063	1.9	28.8	-10.4	13.4	272	533	2	0.72	2.60	2	0.50	2.61	2	0.50	54.51
TASHKOL	Cao et al.	242	100242	Tashkol Lake	87.670833	50.450000	Asia	2205	0.6	34.0	-12.4	15.6	15	992	1	0.47	4.00	0.63	3.34	2	0.49	3.44	0.63	2.92	2	0.69	97.55	0.81	77.43	7.7	17.2	-6.5	-0.3	303	526	1048	7.8	17.2	28	992	2	0.38	2.06	2	0.67	103.48	897	-6.4	-0.3	30	992	1	0.14	1.63	2	0.60	106.90	896	1.9	28.8	-10.4	13.4	304	525	2	0.75	2.50	2	0.51	2.59	2	0.46	49.43
UZUNKOL	Cao et al.	243	100243	Uzunkol Lake	87.108333	50.483333	Asia	2205	0.6	34.0	-12.4	15.6	15	992	1	0.45	4.00	0.62	3.33	2	0.49	3.43	0.63	2.92	2	0.70	97.47	0.81	77.51	8.5	16.9	-5.8	-0.1	279	560	908	8.5	16.8	28	992	2	0.31	1.77	2	0.68	103.72	847	-5.8	-0.2	30	992	1	0.14	1.49	2	0.63	104.60	1126	1.9	28.8	-10.4	13.4	279	560	2	0.72	2.48	2	0.50	2.51	2	0.51	58.44
Gur_sample	Cao et al.	244	100244	Gur	137.050000	50.000000	Asia	1701	7.6	27.2	-16.1	17.6	182	3192	1	0.57	2.18	0.76	1.64	2	0.79	3.45	0.87	2.70	2	0.86	197.20	0.89	175.48	13.0	19.2	-14.1	5.7	187	911	904	13.1	19.2	192	3192	1	0.32	1.37	2	0.87	169.84	1226	-14.0	5.6	182	2192	1	0.73	2.85	2	0.84	137.06	1279	8.7	25.2	-16.1	10.8	192	904	2	0.60	1.93	1	0.73	3.35	2	0.73	100.19
Kiya	Cao et al.	245	100245	Kiya	135.666667	47.833333	Asia	1825	7.6	27.5	-16.1	19.0	123	3421	2	0.61	2.19	0.77	1.70	2	0.79	3.40	0.87	2.64	2	0.86	229.99	0.90	193.36	17.6	21.3	-1.4	9.2	661	1144	734	17.7	21.2	215	3421	1	0.18	0.90	2	0.85	210.86	1005	-1.4	9.1	123	3192	2	0.49	1.86	2	0.85	200.52	363	7.6	26.1	-4.8	13.6	663	1142	1	0.54	1.69	2	0.58	1.74	2	0.56	84.87
Pobochnoye	Cao et al.	246	100246	Pobochnoye	51.841667	53.033333	Asia	1856	8.4	31.8	-8.4	17.5	98	2121	2	0.60	2.26	0.77	1.72	2	0.66	2.72	0.78	2.21	2	0.58	112.55	0.75	86.89	16.0	27.0	1.8	6.5	15	649	1327	16.1	26.9	114	2121	2	0.63	1.40	2	0.71	89.69	796	1.8	6.5	145	1511	2	0.51	0.93	2	0.75	79.54	1498	8.4	31.8	-8.4	17.5	98	648	2	0.64	2.15	2	0.65	2.73	2	0.57	76.05
TYAPKA	Cao et al.	247	100247	Tyapka	140.116667	53.700000	Asia	1454	7.6	25.5	-16.1	15.4	170	2239	2	0.59	2.12	0.74	1.69	2	0.81	3.39	0.87	2.83	2	0.85	169.95	0.88	152.93	14.1	17.4	-8.2	2.8	380	823	455	14.1	17.4	192	2147	1	0.23	0.94	2	0.90	154.69	543	-8.1	2.8	215	2192	2	0.62	1.74	2	0.75	120.19	611	8.7	24.6	-14.8	7.6	380	823	1	0.66	1.89	2	0.70	2.38	2	0.74	71.21
ARAL86	Cao et al.	248	100248	Aral Lake	59.983333	44.420000	Asia	1215	2.0	33.9	-10.9	21.3	25	2121	2	0.33	3.86	0.58	3.06	2	0.47	3.69	0.65	3.01	2	0.64	154.39	0.84	102.75	15.4	24.6	2.3	7.0	185	539	862	15.5	24.5	27	2121	2	0.50	1.44	2	0.71	101.40	389	2.3	6.9	27	1511	2	0.34	1.09	2	0.81	101.77	528	7.3	32.8	-6.0	19.9	185	538	2	0.50	2.23	2	0.60	2.65	2	0.47	66.11
GANTANG	Cao et al.	249	100249	Gantang	119.000000	27.000000	Asia	1768	6.1	29.8	-4.0	25.7	98	4360	2	0.70	3.18	0.80	2.61	2	0.82	3.10	0.87	2.66	2	0.83	298.86	0.90	231.90	16.4	25.5	7.5	15.3	879	2034	976	16.4	25.5	98	3486	1	0.25	1.95	2	0.89	269.33	465	7.5	15.2	98	4360	2	0.54	1.61	2	0.82	328.54	657	12.8	29.8	-2.9	25.7	885	2032	2	0.58	2.53	2	0.72	2.55	2	0.59	208.31
HUGUAN	Cao et al.	250	100250	Huguangyan Maar lake	110.283333	21.150000	Asia	1265	4.2	29.8	-7.2	25.7	186	4360	2	0.79	3.50	0.85	3.00	2	0.85	3.41	0.89	3.01	2	0.82	263.89	0.87	226.46	18.1	28.2	9.6	20.2	903	1850	496	18.1	28.1	186	2852	2	0.51	1.88	2	0.86	247.45	435	9.6	20.1	415	4360	2	0.52	1.74	2	0.74	299.26	464	12.8	29.8	6.7	25.7	906	1846	2	0.65	2.39	2	0.72	2.21	2	0.66	176.53
JINGBO	Cao et al.	251	100251	Jingbo Lake	128.750000	43.908500	Asia	1759	11.0	29.8	-10.7	19.0	107	3486	2	0.59	2.09	0.69	1.82	2	0.71	3.08	0.80	2.55	2	0.84	248.81	0.89	207.08	18.5	21.6	1.2	8.5	493	1161	637	18.6	21.5	149	3486	1	0.08	0.75	2	0.85	218.16	898	1.2	8.4	107	3192	2	0.34	1.60	2	0.87	188.87	644	11.0	28.5	-8.8	16.1	493	1155	2	0.63	1.98	2	0.69	2.56	2	0.63	102.28
XINGKAI	Cao et al.	252	100252	Xingkai Lake	132.509000	45.206000	Asia	1726	7.6	28.5	-11.1	19.0	107	3486	2	0.61	2.02	0.71	1.74	2	0.75	3.23	0.84	2.61	2	0.85	246.50	0.90	205.08	17.2	20.6	-5.4	4.1	213	817	791	17.2	20.5	197	3486	1	0.25	0.86	2	0.86	208.19	782	-5.2	4.0	107	2192	2	0.64	1.55	2	0.84	122.48	1082	11.0	27.5	-11.1	14.2	214	816	2	0.52	1.86	2	0.68	3.08	2	0.74	91.37
QIGANUR	Cao et al.	253	100253	Qigai Nuur	109.500000	39.500000	Asia	2923	1.9	34.0	-10.4	22.7	15	2852	2	0.68	3.72	0.79	3.01	2	0.78	3.56	0.85	2.98	2	0.87	203.42	0.92	155.16	14.5	22.9	2.2	9.1	213	895	1292	14.5	22.8	35	2852	1	0.27	1.97	2	0.89	173.40	888	2.2	9.1	35	2209	1	0.35	1.67	2	0.85	156.78	1960	1.9	27.5	-10.4	20.0	214	887	1	0.61	3.47	2	0.56	3.22	1	0.57	106.64
11-CH-12A	Cao et al.	254	100254	11-CH-12A Lake	102.288566	72.398881	Asia	989	-2.4	19.0	-18.9	0.8	136	644	2	0.61	2.25	0.73	1.87	2	0.67	2.55	0.74	2.29	2	0.62	81.62	0.71	71.74	8.2	14.4	-17.1	-10.8	155	347	491	8.2	14.3	167	636	1	0.33	1.49	1	0.60	83.35	411	-16.1	-10.9	136	386	1	0.21	0.96	2	0.40	37.41	569	-2.4	18.6	-18.9	-7.5	164	346	1	0.60	2.44	1	0.40	1.57	1	0.22	38.24
ACHITNUR	Cao et al.	255	100255	Achit Nur Lake	90.600000	49.500000	Asia	2336	0.6	34.0	-12.4	15.6	15	992	1	0.51	4.01	0.66	3.37	2	0.48	3.44	0.63	2.93	2	0.63	105.18	0.76	84.83	15.5	20.6	-1.1	3.5	90	319	798	15.6	20.5	27	828	1	0.13	1.15	2	0.71	82.81	848	-1.1	3.4	28	828	1	0.11	1.16	2	0.62	95.33	946	2.2	29.2	-10.0	13.3	91	319	1	0.51	3.88	1	0.56	3.25	1	0.25	51.49
ACHITNUUR	Cao et al.	256	100256	Achit Nuur	90.516667	49.416667	Asia	2345	0.6	34.0	-12.4	15.6	15	992	1	0.51	4.01	0.66	3.35	2	0.48	3.44	0.63	2.93	2	0.62	106.49	0.75	85.52	9.3	17.2	-3.5	2.4	200	400	934	9.3	17.1	28	992	1	0.27	1.95	2	0.58	118.38	1143	-3.4	2.4	28	992	1	0.21	1.48	2	0.58	104.13	985	1.9	28.8	-10.4	13.4	201	399	1	0.59	3.53	1	0.53	3.05	1	0.24	46.31
Baikal_Lake-CON01-605-3	Cao et al.	257	100257	Baikal Lake-CON01-605-3	104.854722	51.585000	Asia	2463	1.9	34.0	-11.2	15.6	15	992	1	0.51	3.60	0.69	2.85	2	0.62	3.27	0.71	2.87	2	0.55	111.47	0.65	98.60	12.1	16.6	-9.0	-0.6	254	467	561	12.2	16.5	46	992	1	0.11	1.31	2	0.58	108.01	945	-8.8	-0.7	65	992	1	0.15	1.90	2	0.49	101.59	1123	1.9	27.5	-11.2	13.3	254	466	2	0.70	2.82	2	0.68	2.82	1	0.17	52.88
Baikal_Lake-CON01-605-5	Cao et al.	258	100258	Baikal Lake-CON01-605-5	104.851667	51.583611	Asia	2464	1.9	34.0	-11.2	15.6	15	992	1	0.51	3.59	0.69	2.85	2	0.62	3.27	0.71	2.87	2	0.55	111.54	0.65	98.59	12.6	18.1	-5.8	-0.9	345	485	885	12.7	18.0	46	828	1	0.13	1.45	2	0.59	101.48	688	-5.8	-1.0	65	992	1	0.12	1.24	2	0.52	105.50	582	4.6	27.5	-10.3	13.3	345	485	2	0.77	2.53	2	0.69	2.48	1	0.22	38.18
Big_Yarovoe_Lake_2008-3	Cao et al.	259	100259	Big Yarovoe Lake	78.626683	52.852600	Asia	2164	2.0	34.0	-10.9	15.6	15	992	2	0.46	3.62	0.62	3.03	2	0.56	3.30	0.67	2.83	2	0.72	99.36	0.83	76.95	14.5	19.3	-1.8	2.5	112	388	1029	14.6	19.3	27	828	1	0.31	1.07	1	0.63	90.96	839	-1.8	2.4	28	803	1	0.27	1.00	1	0.71	89.97	860	3.1	29.2	-10.0	13.4	114	388	1	0.60	3.81	2	0.59	3.24	1	0.35	59.94
Cheremushka_Bog	Cao et al.	260	100260	Cheremushka Bog	108.083000	52.750000	Asia	2263	1.9	34.0	-16.0	15.6	15	992	1	0.45	3.54	0.66	2.79	2	0.65	3.24	0.74	2.82	2	0.55	107.72	0.66	93.35	11.0	17.7	-8.2	-0.4	216	546	951	11.1	17.7	46	992	1	0.23	1.80	2	0.52	112.30	899	-8.0	-0.5	65	992	1	0.20	1.89	2	0.53	102.79	1605	1.9	27.5	-16.0	13.9	216	545	2	0.59	2.93	2	0.67	3.07	1	0.30	78.05
Chernaya_Gorka	Cao et al.	261	100261	Chernaya Gorka	65.350000	67.083333	Asia	1698	-2.4	24.9	-18.9	6.0	167	1033	1	0.68	1.90	0.80	1.51	2	0.67	2.95	0.79	2.33	2	0.46	95.00	0.73	66.42	6.6	15.7	-17.8	3.0	233	710	743	6.7	15.7	167	1033	1	0.52	1.45	1	0.46	110.47	1444	-15.4	2.9	167	1033	2	0.67	2.87	2	0.45	96.11	1589	5.7	23.0	-15.4	6.0	233	708	1	0.67	1.85	1	0.61	2.98	2	0.50	75.21
Dolgoe_Ozero	Cao et al.	262	100262	Dolgoe Ozero	127.066667	71.866667	Asia	900	-2.4	18.6	-18.9	-2.1	136	644	1	0.48	2.43	0.68	1.91	1	0.37	2.41	0.52	2.11	1	0.33	82.16	0.56	66.76	7.8	15.3	-15.6	-10.0	176	361	616	7.8	15.2	148	644	1	0.34	1.55	1	0.42	80.44	662	-15.5	-10.1	136	474	1	0.32	1.38	1	0.24	51.54	623	-2.4	18.6	-18.9	-2.1	176	359	1	0.54	2.44	1	0.33	1.64	1	0.15	40.48
Khanda	Cao et al.	265	100265	Khanda	107.000000	55.440000	Asia	2213	4.6	34.0	-16.0	15.6	15	992	2	0.54	3.08	0.73	2.36	2	0.75	3.13	0.83	2.61	2	0.53	102.93	0.66	87.07	12.4	18.1	-7.7	1.2	409	673	977	12.5	18.1	87	992	1	0.14	1.53	2	0.48	106.92	1064	-7.6	1.2	85	992	1	0.25	2.15	2	0.58	96.01	637	6.3	26.7	-10.8	12.8	409	671	2	0.48	2.09	2	0.74	2.47	1	0.16	54.90
Khanda-1	Cao et al.	266	100266	Khanda-1	107.000000	55.440000	Asia	2213	4.6	34.0	-16.0	15.6	15	992	2	0.54	3.08	0.73	2.36	2	0.75	3.13	0.83	2.61	2	0.53	102.93	0.66	87.07	12.1	19.6	-10.1	5.9	363	789	1296	12.2	19.6	87	992	1	0.22	1.81	2	0.46	104.34	1655	-10.0	5.8	58	992	2	0.58	2.59	2	0.53	102.02	839	4.6	26.7	-14.8	12.8	364	781	2	0.52	2.40	2	0.68	2.63	1	0.26	76.86
LAB2-95	Cao et al.	267	100267	LAB2-95	99.861667	72.381667	Asia	982	-2.4	19.0	-18.9	0.8	136	657	2	0.60	2.29	0.74	1.86	2	0.68	2.60	0.74	2.34	2	0.62	81.75	0.70	72.72	7.1	12.5	-17.0	-12.0	145	365	317	7.1	12.4	164	617	1	0.17	1.24	1	0.63	78.44	374	-16.1	-12.3	136	386	1	0.24	0.78	2	0.37	37.58	568	-2.4	18.6	-18.9	-2.1	164	364	2	0.61	2.38	1	0.39	1.80	1	0.19	39.78
KOTOKEL2010	Cao et al.	268	100268	Lake Kotokel_2010	108.116667	52.783333	Asia	2262	1.9	34.0	-16.0	15.6	15	992	1	0.45	3.54	0.66	2.78	2	0.65	3.23	0.74	2.81	2	0.55	107.72	0.66	93.34	12.0	17.6	-9.0	0.4	196	568	836	12.0	17.6	46	992	1	0.15	1.61	2	0.54	108.05	1042	-9.0	0.4	65	992	1	0.24	2.07	2	0.53	101.39	1740	1.9	27.5	-16.0	13.9	196	568	2	0.58	2.94	2	0.67	3.06	2	0.39	79.93
Lake_Lama	Cao et al.	269	100269	Lake Lama	90.200000	69.533333	Asia	1328	-2.4	21.6	-18.9	4.8	136	992	2	0.60	2.27	0.71	1.93	1	0.71	3.18	0.80	2.62	2	0.54	108.29	0.69	89.33	6.0	16.4	-15.1	-5.5	177	513	713	6.2	16.3	165	992	1	0.47	1.82	2	0.65	103.34	644	-15.0	-5.6	136	636	2	0.56	1.99	2	0.57	80.72	885	-2.4	21.6	-18.9	2.8	178	512	2	0.65	2.13	2	0.75	3.00	2	0.57	64.93
LAO13-94	Cao et al.	270	100270	LAO13-94	99.583300	72.187500	Asia	978	-2.4	19.0	-18.9	0.8	136	657	2	0.60	2.29	0.74	1.87	2	0.68	2.60	0.74	2.34	2	0.61	81.89	0.70	72.83	10.3	17.5	-19.1	-6.7	187	406	612	10.3	17.5	183	657	2	0.50	1.55	2	0.61	78.67	704	-18.9	-6.8	136	644	1	0.45	1.97	2	0.50	75.04	560	-2.4	18.6	-18.9	-2.1	187	405	1	0.54	2.44	1	0.34	2.15	1	0.19	42.32
LAO6-96	Cao et al.	271	100271	LAO6-96	99.715000	72.390000	Asia	982	-2.4	19.0	-18.9	0.8	136	657	2	0.60	2.29	0.74	1.86	2	0.68	2.60	0.74	2.34	2	0.62	81.75	0.70	72.72	9.0	21.0	-20.0	-5.2	46	426	862	9.1	19.0	181	657	2	0.55	1.89	2	0.63	77.59	803	-18.9	-5.2	136	644	2	0.56	2.10	2	0.56	80.88	626	-2.4	18.6	-18.9	-2.1	136	426	2	0.61	2.34	1	0.38	2.20	1	0.23	50.94
Laptev_PM9462	Cao et al.	272	100272	Laptev PM9462	136.005000	73.503333	Asia	871	-2.4	18.6	-18.9	-2.6	136	644	1	0.48	2.45	0.69	1.88	1	0.28	2.40	0.46	2.08	1	0.26	82.17	0.52	66.04	9.4	19.5	-14.9	-5.8	215	447	732	9.5	18.6	148	644	1	0.46	1.94	1	0.24	83.88	765	-14.9	-5.8	136	644	1	0.35	1.91	1	0.28	78.48	599	5.3	18.6	-16.1	-2.6	215	445	2	0.58	2.21	1	0.28	2.21	1	0.22	50.20
PG1228	Cao et al.	273	100273	Levinson-Lessing Lake	98.636000	74.473000	Asia	924	-2.4	18.6	-18.9	0.0	136	657	2	0.60	2.26	0.72	1.90	2	0.64	2.47	0.72	2.21	2	0.62	82.13	0.72	71.16	5.2	13.7	-17.1	-9.7	117	400	455	5.3	13.7	164	636	1	0.35	1.60	2	0.66	77.69	573	-16.1	-9.7	136	498	1	0.43	1.44	2	0.39	50.85	603	-2.4	18.6	-18.9	-6.3	136	399	1	0.58	2.48	1	0.35	1.88	1	0.19	46.23
Melkoye_Lake_core	Cao et al.	275	100275	Melkoye Lake	175.233333	64.858333	Asia	877	2.0	16.5	-16.1	2.1	109	1058	1	0.40	1.93	0.62	1.55	2	0.49	3.11	0.62	2.70	1	0.29	108.30	0.40	99.20	8.4	11.4	-14.6	-9.1	189	330	278	8.5	11.4	116	1058	1	0.24	0.69	2	0.53	91.35	361	-14.6	-9.2	109	391	2	0.50	1.14	1	0.43	52.37	426	6.0	16.2	-16.1	-2.4	192	330	1	0.43	1.88	2	0.79	1.80	1	0.25	35.16
Okunayka	Cao et al.	276	100276	Okunayka	108.470000	55.520000	Asia	2129	5.6	34.0	-16.0	15.6	15	992	2	0.57	2.77	0.72	2.23	2	0.77	3.05	0.83	2.64	2	0.56	104.29	0.67	90.10	13.2	17.7	-10.4	6.5	302	752	773	13.2	17.7	103	828	1	0.12	1.29	1	0.45	108.66	1649	-10.3	6.4	58	992	2	0.61	2.64	2	0.55	105.90	1066	5.6	26.7	-16.0	12.8	302	745	2	0.52	2.37	2	0.69	2.74	1	0.34	84.12
Patricia_Lake	Cao et al.	278	100278	Patricia Lake	176.500000	63.325000	Asia	860	2.0	16.5	-16.1	2.1	109	1058	1	0.41	1.91	0.61	1.55	2	0.49	3.10	0.61	2.72	1	0.30	108.82	0.41	100.02	6.7	13.8	-19.0	-6.1	-6	524	606	6.7	13.7	112	1058	1	0.22	1.39	2	0.43	106.83	612	-16.1	-6.2	109	502	2	0.44	2.15	2	0.48	59.92	816	2.0	16.5	-16.1	1.6	109	524	1	0.43	1.91	2	0.53	2.71	1	0.36	74.40
Pernatoye_Lake	Cao et al.	279	100279	Pernatoye Lake	155.395167	50.040500	Asia	806	7.6	24.5	-16.1	14.9	232	2031	2	0.62	2.05	0.78	1.58	2	0.81	3.07	0.86	2.60	2	0.83	161.73	0.88	137.89	10.2	15.6	-14.9	-4.8	133	577	272	10.4	15.6	232	2031	1	0.47	1.11	2	0.85	112.38	174	-14.8	-4.9	232	515	1	0.22	2.38	1	0.36	56.61	240	8.7	22.5	-16.1	3.7	232	576	2	0.73	1.54	1	0.41	3.49	1	0.39	76.38
Sakhalin_Island_Khoe	Cao et al.	280	100280	Sakhalin Island_Khoe	142.140000	51.340000	Asia	1377	7.6	26.2	-16.1	15.7	192	2239	2	0.56	2.15	0.74	1.65	2	0.80	3.47	0.88	2.74	2	0.85	191.83	0.88	169.34	12.4	17.0	-13.2	3.9	201	949	426	12.5	17.0	192	2147	2	0.32	1.01	2	0.89	148.54	830	-13.1	3.8	215	2192	2	0.71	2.71	2	0.80	128.20	1002	8.7	24.6	-16.1	7.6	201	928	1	0.56	2.01	2	0.73	3.24	2	0.74	103.39
Salym-Yugan	Cao et al.	281	100281	Salym-Yugan	72.083333	60.016667	Asia	1912	5.6	29.2	-15.4	13.4	77	992	1	0.61	2.50	0.73	2.07	1	0.65	2.96	0.78	2.36	2	0.59	101.22	0.75	78.11	9.2	18.9	-11.1	2.4	208	739	1474	9.3	18.8	112	992	2	0.53	1.85	2	0.54	101.78	1424	-10.8	2.4	77	992	1	0.49	2.45	2	0.59	96.07	1707	5.6	28.8	-15.4	13.4	210	736	1	0.63	2.24	1	0.67	2.82	2	0.53	85.24
SHAAMAR	Cao et al.	282	100282	Shaamar	105.200000	50.200000	Asia	2519	1.9	34.0	-10.7	15.6	15	992	1	0.54	3.62	0.71	2.88	2	0.59	3.26	0.69	2.89	2	0.57	116.09	0.68	100.28	6.5	22.0	-5.6	7.0	232	613	2058	6.5	21.9	35	992	1	0.47	2.91	2	0.53	118.10	1912	-5.5	7.0	40	992	1	0.42	2.46	1	0.54	119.60	1778	1.9	27.5	-10.7	13.9	232	612	1	0.62	3.08	2	0.64	2.96	2	0.40	82.90
TSOKAR	Cao et al.	283	100283	Tso Kar Lake	78.025161	33.308839	Asia	1020	-3.0	34.0	-12.4	16.8	15	707	1	0.51	5.16	0.68	4.16	1	0.41	4.38	0.60	3.63	1	0.66	98.09	0.79	77.50	10.7	16.6	-0.9	4.2	271	377	252	10.7	16.6	28	624	1	0.17	1.37	2	0.66	104.80	311	-0.9	4.2	28	707	1	0.22	1.42	2	0.76	86.70	214	1.9	28.8	-10.4	13.4	271	377	2	0.60	3.52	1	0.43	3.21	1	0.17	24.59
TSOMOR	Cao et al.	284	100284	Tso Moriri Lake	78.323333	32.929444	Asia	1010	-3.0	34.0	-12.4	16.8	15	707	1	0.50	5.19	0.67	4.21	1	0.40	4.38	0.59	3.64	1	0.67	97.94	0.80	77.27	8.2	14.5	-2.5	1.6	234	405	371	8.3	14.5	28	707	1	0.40	1.40	2	0.70	102.06	289	-2.5	1.6	28	657	1	0.14	1.07	2	0.76	85.92	318	-3.0	28.8	-11.0	15.2	234	398	2	0.59	3.62	2	0.52	3.22	1	0.24	39.61
PG1856-3	Cao et al.	285	100285	Two-Yurts Lake_PG1856-3	160.040270	56.822670	Asia	806	3.8	21.7	-16.1	6.8	148	1411	2	0.55	2.25	0.70	1.83	2	0.82	2.82	0.84	2.61	2	0.84	118.31	0.87	106.20	10.0	13.9	-10.2	-4.3	380	573	307	10.1	13.8	148	1411	2	0.30	0.89	2	0.69	101.24	138	-10.2	-4.4	236	904	1	0.16	1.76	1	0.03	91.19	118	8.7	19.6	-12.3	-0.4	381	572	1	0.73	1.22	1	0.39	2.25	1	0.50	39.22
PG1857-2	Cao et al.	286	100286	Two-Yurts Lake_PG1857-2	160.067480	56.816750	Asia	806	3.8	21.7	-16.1	6.8	148	1411	2	0.55	2.25	0.70	1.83	2	0.82	2.82	0.84	2.61	2	0.84	118.31	0.87	106.20	10.5	13.3	-10.0	-6.3	382	493	218	10.6	13.2	148	1411	2	0.28	0.62	2	0.74	86.52	87	-9.9	-6.4	236	502	1	0.64	0.84	1	0.46	42.48	89	8.7	16.1	-12.3	-2.6	383	486	1	0.23	1.17	1	0.10	2.30	1	0.02	27.22
PG1857-5	Cao et al.	287	100287	Two-Yurts Lake_PG1857-5	160.067780	56.816750	Asia	806	3.8	21.7	-16.1	6.8	148	1411	2	0.55	2.25	0.70	1.83	2	0.82	2.82	0.84	2.61	2	0.84	118.31	0.87	106.20	11.1	12.8	-11.8	-7.4	338	453	166	11.1	12.8	153	1411	2	0.33	0.43	2	0.72	85.10	236	-11.8	-8.1	154	459	1	0.23	0.70	2	0.38	51.89	109	9.7	16.1	-16.0	-2.6	342	438	1	0.24	1.03	2	0.48	1.75	1	0.48	20.29
Ukta_Creek_mouth	Cao et al.	288	100288	Ukta Creek mouth	109.700000	55.800000	Asia	2058	5.6	27.1	-16.1	12.8	35	992	2	0.59	2.58	0.72	2.14	2	0.78	3.00	0.84	2.60	2	0.56	106.16	0.67	91.71	12.9	19.9	-11.8	2.6	327	661	1232	12.9	19.9	93	864	1	0.24	1.71	2	0.49	102.17	1355	-11.2	2.6	77	992	2	0.59	2.51	2	0.50	106.69	878	6.8	26.7	-16.0	12.8	328	654	2	0.48	2.21	2	0.64	2.69	1	0.33	71.19
Yenisei	Cao et al.	289	100289	Yenisei	87.150000	68.166667	Asia	1496	-2.4	21.9	-18.9	4.8	136	992	2	0.61	2.18	0.72	1.85	1	0.73	3.03	0.81	2.54	2	0.51	106.45	0.69	85.49	8.5	16.9	-10.7	-3.3	324	643	838	8.5	16.8	167	992	1	0.46	1.70	1	0.51	117.81	447	-10.7	-3.4	194	992	2	0.34	1.67	2	0.40	104.48	947	8.4	21.4	-14.8	3.8	324	636	1	0.51	1.86	1	0.55	2.59	1	0.23	71.72
Julietta_Lake	Cao et al.	290	100290	Julietta	154.555500	61.337500	Asia	862	2.0	21.7	-16.1	6.2	136	1128	2	0.53	2.41	0.72	1.86	2	0.72	2.76	0.75	2.60	2	0.71	104.51	0.75	97.48	5.5	21.0	-22.7	-5.8	-112	581	845	5.9	21.0	148	1128	2	0.51	2.31	1	0.67	111.63	662	-16.1	-6.2	136	644	1	0.26	2.18	1	0.25	71.66	716	2.0	19.6	-16.1	-0.4	136	580	2	0.52	2.42	1	0.34	2.76	1	0.34	81.54
KUHAI_neotoma	Cao et al.	292	100292	Kuhai Lake	99.309500	35.515833	Asia	2774	-3.0	34.0	-12.4	23.4	15	2250	2	0.64	4.06	0.76	3.34	2	0.72	3.86	0.82	3.17	2	0.84	170.58	0.90	136.71	9.8	13.9	-3.3	0.3	184	401	581	9.9	13.9	30	992	1	0.15	0.99	2	0.62	134.87	565	-3.2	0.2	30	992	1	0.15	0.96	1	0.59	111.29	1042	-3.0	24.6	-11.0	9.4	184	400	1	0.59	3.52	1	0.55	3.00	1	0.14	53.57
PINGWANG	Cao et al.	293	100293	Pingwang	120.640278	30.958333	Asia	2100	5.4	29.8	-6.2	25.7	98	4360	2	0.68	3.11	0.79	2.50	2	0.82	3.08	0.87	2.61	2	0.82	290.93	0.89	232.71	21.3	29.5	12.3	22.1	1642	2156	923	21.4	29.5	98	3136	2	0.55	1.67	2	0.84	291.37	604	12.3	22.0	415	3136	2	0.63	1.67	2	0.66	315.85	407	14.3	29.1	1.9	24.8	1645	2147	2	0.69	2.23	2	0.82	2.47	1	0.24	116.14
QINGPU	Cao et al.	294	100294	Qingpu	121.166667	31.250000	Asia	2116	5.4	29.8	-6.2	25.7	98	4360	2	0.67	3.08	0.78	2.49	2	0.81	3.10	0.87	2.64	2	0.82	293.64	0.89	234.59	19.7	26.3	8.8	14.9	1026	1498	905	19.8	26.2	98	3294	2	0.47	1.34	2	0.88	268.60	366	8.8	14.8	189	4360	2	0.40	1.44	2	0.69	364.03	233	17.5	29.8	4.7	25.7	1031	1496	2	0.69	1.68	2	0.75	2.18	1	0.33	106.71
RETREAT	Cao et al.	295	100295	Retreat Lake	121.433333	24.483333	Asia	1085	11.0	29.8	-0.9	25.7	305	4360	2	0.59	2.66	0.67	2.40	2	0.78	2.79	0.82	2.51	2	0.73	345.59	0.83	272.57	19.8	24.0	12.6	16.4	1454	1918	352	19.8	23.9	305	3294	1	0.23	1.06	2	0.87	291.09	255	12.7	16.4	415	3136	2	0.45	0.77	2	0.78	275.92	370	18.6	29.6	7.7	25.7	1457	1914	2	0.56	1.82	2	0.70	2.00	1	0.32	103.78
AIBI	Cao et al.	296	100296	Aibi Lake	82.833333	45.016667	Asia	2248	-3.0	34.0	-12.4	15.6	15	992	1	0.53	4.02	0.67	3.36	1	0.41	3.56	0.61	2.90	2	0.64	103.11	0.77	82.70	15.1	20.6	0.8	5.2	125	279	810	15.1	20.6	27	828	1	0.24	1.15	2	0.73	79.77	588	0.9	5.1	28	828	1	0.17	1.02	1	0.66	91.28	553	-3.0	28.8	-11.0	13.3	125	278	2	0.56	3.86	1	0.53	3.41	1	0.22	39.87
BALIKUN	Cao et al.	297	100297	Balikun Lake	92.800000	43.675000	Asia	2745	-3.0	34.0	-12.4	16.8	15	992	1	0.52	4.04	0.68	3.31	1	0.46	3.55	0.62	3.01	1	0.62	123.82	0.79	92.05	14.5	23.1	0.4	5.7	72	238	1224	14.6	23.1	27	950	1	0.30	1.97	2	0.75	96.02	957	0.5	5.6	27	858	1	0.16	1.24	2	0.68	109.48	540	2.0	29.2	-10.9	12.7	72	237	1	0.38	4.46	1	0.50	3.55	1	0.20	42.60
YILI_neotoma	Cao et al.	298	100298	Yili River	81.965083	43.857139	Asia	2193	-3.0	34.0	-12.4	15.6	15	992	1	0.53	4.05	0.67	3.40	1	0.41	3.58	0.61	2.92	2	0.64	103.11	0.77	82.41	11.8	22.2	-0.8	6.7	26	385	1227	11.8	22.1	27	992	1	0.28	2.32	2	0.68	98.87	1038	-0.8	6.7	27	828	1	0.20	1.69	1	0.64	98.13	1343	-3.0	31.7	-12.4	14.2	27	385	2	0.51	4.52	1	0.46	4.00	1	0.50	75.75
HALIGU	Cao et al.	299	100299	Haligu Lake	100.180556	27.003333	Asia	1698	-3.0	34.0	-11.0	25.7	15	2250	2	0.77	3.71	0.84	3.13	2	0.83	3.45	0.88	3.02	2	0.88	193.98	0.91	165.91	9.1	21.3	2.0	13.7	695	1093	763	9.2	21.3	40	2250	2	0.61	2.34	2	0.87	131.53	623	2.1	13.4	28	2250	1	0.46	2.29	1	0.81	139.79	217	6.2	28.0	-3.4	20.0	698	1092	2	0.73	2.90	2	0.72	3.16	2	0.73	54.95
SHUNDU	Cao et al.	300	100300	Shudu Lake	99.949600	27.910300	Asia	1789	-3.0	34.0	-12.4	25.7	15	2250	2	0.75	3.86	0.82	3.23	2	0.82	3.53	0.87	3.08	2	0.88	192.40	0.91	163.67	12.0	16.7	2.6	6.9	640	868	270	12.0	16.7	31	1010	1	0.16	1.25	1	0.82	111.81	288	2.7	6.8	40	929	1	0.16	1.07	1	0.76	102.96	213	5.4	26.9	-4.2	20.0	642	858	1	0.55	3.20	2	0.64	3.36	1	0.40	45.12
TIANCHI2	Cao et al.	301	100301	Tianchi	106.309167	35.264722	Asia	2694	1.9	34.0	-10.4	25.7	15	4360	2	0.70	3.81	0.80	3.10	2	0.81	3.59	0.87	3.02	2	0.86	227.85	0.92	174.69	14.7	20.5	6.0	11.0	847	1158	715	14.8	20.5	40	2250	1	0.18	1.54	2	0.87	164.48	410	6.0	10.9	30	4360	2	0.32	1.06	2	0.85	254.84	148	11.0	28.5	0.7	16.8	850	1141	2	0.86	2.05	2	0.81	1.92	1	0.71	56.35
Malyi_Krechet_Lake	Cao et al.	302	100302	Malyi Krechet Lake	175.533333	64.800000	Asia	865	2.0	16.5	-16.1	2.1	109	1058	1	0.40	1.92	0.61	1.56	2	0.48	3.12	0.61	2.72	1	0.29	108.75	0.40	99.94	8.8	13.2	-14.3	-7.4	142	428	499	8.8	13.2	116	1058	1	0.17	1.04	2	0.42	109.60	398	-14.2	-7.4	109	422	2	0.48	1.31	2	0.52	52.02	756	2.0	16.5	-16.1	-1.0	143	422	1	0.43	1.87	2	0.62	2.38	1	0.37	63.10
DAJIUHU2013	Cao et al.	303	100303	Dajiuhu_2013	110.001944	31.485556	Asia	2373	1.9	29.8	-10.4	25.7	35	4360	2	0.74	3.54	0.81	2.96	2	0.83	3.28	0.87	2.88	2	0.85	258.14	0.91	200.28	7.3	45.2	-3.9	39.5	-294	3778	2239	7.4	29.8	35	4360	2	0.71	3.42	2	0.85	262.61	2245	-3.8	25.7	35	4360	2	0.83	3.17	2	0.85	263.38	2372	1.9	29.8	-10.4	25.7	35	3486	2	0.74	3.53	2	0.83	3.28	2	0.85	252.62
DONGGI1790	Cao et al.	304	100304	PG1790-Donggi Cona	98.500000	35.500000	Asia	2752	-3.0	34.0	-12.4	23.4	15	1904	2	0.63	4.08	0.75	3.38	2	0.71	3.87	0.80	3.22	2	0.84	163.39	0.89	131.66	10.3	19.1	-2.8	3.6	149	393	1136	10.3	19.1	27	1743	1	0.26	2.21	1	0.64	140.19	1045	-2.7	3.6	28	858	1	0.30	1.47	2	0.62	115.03	1133	-3.0	27.6	-11.0	9.7	149	392	1	0.59	3.70	1	0.56	3.07	1	0.17	59.63
Kirek_Lake	Cao et al.	305	100305	Kirek Lake	84.216667	56.100000	Asia	2140	4.6	34.0	-13.6	15.6	15	992	2	0.57	3.15	0.73	2.48	2	0.66	3.03	0.78	2.46	2	0.66	102.44	0.81	75.76	7.9	22.8	-11.8	5.5	234	662	1843	7.9	22.7	35	992	1	0.49	2.32	2	0.61	100.43	1878	-10.8	5.4	58	992	1	0.55	2.52	2	0.62	98.28	1655	4.6	28.8	-13.6	13.4	235	661	2	0.64	2.41	1	0.64	2.71	2	0.54	80.54
Lake_Sokoch	Cao et al.	306	100306	Lake Sokoch	157.754000	53.254000	Asia	783	7.2	22.8	-16.1	11.3	148	1650	2	0.56	2.28	0.68	1.93	2	0.83	3.10	0.87	2.78	2	0.87	140.01	0.89	130.94	12.9	15.3	-8.3	-5.6	378	498	166	12.9	15.2	172	1356	1	0.23	0.59	1	0.80	127.74	58	-8.1	-5.7	355	502	1	0.08	0.47	1	0.09	27.76	95	8.7	16.1	-12.3	-2.6	381	496	1	0.09	1.23	1	0.07	2.35	1	0.13	30.15
Zhukovskoye_Mire	Cao et al.	307	100307	Zhukovskoye mire	84.833333	56.333333	Asia	2134	4.6	34.0	-13.6	15.6	15	992	2	0.56	3.14	0.73	2.46	2	0.66	3.02	0.78	2.44	2	0.65	102.67	0.81	75.90	6.8	21.9	-11.3	5.6	159	683	1838	6.9	21.8	35	992	1	0.48	2.36	2	0.59	102.78	1881	-10.8	5.5	58	992	1	0.55	2.52	2	0.62	98.28	1868	4.6	28.8	-13.6	13.4	159	682	1	0.58	2.82	2	0.65	2.80	2	0.62	84.04
AHUNG	Cao et al.	308	100308	Ahung Co	92.070333	31.616167	Asia	1901	-3.0	34.0	-12.4	21.9	15	1904	2	0.58	4.37	0.69	3.76	2	0.64	3.90	0.74	3.36	2	0.84	149.26	0.89	125.45	7.2	10.7	-3.4	-1.1	345	499	385	7.2	10.6	32	781	1	0.06	0.98	2	0.71	93.50	211	-3.3	-1.2	30	752	1	0.14	0.67	1	0.67	98.65	373	4.2	26.3	-7.5	9.7	345	498	2	0.63	2.60	1	0.57	2.64	1	0.19	36.54
LAOTANFA	Cao et al.	309	100309	Laotanfang	103.200000	26.100000	Asia	1783	-3.0	29.8	-11.0	25.7	35	4360	2	0.77	3.65	0.84	3.13	2	0.85	3.40	0.88	3.03	2	0.86	235.31	0.89	203.94	12.9	22.7	3.0	11.4	398	864	534	13.0	22.7	35	4360	2	0.38	2.40	2	0.86	233.13	476	3.1	11.3	35	4360	1	0.35	1.73	1	0.65	209.51	739	4.2	27.5	-7.2	20.0	398	858	2	0.69	3.12	2	0.67	3.05	2	0.52	86.63
Elgygytgyn_Lake_P1	Cao et al.	310	100310	El'gygytgyn Lake_P1	172.219444	67.373889	Asia	965	2.0	18.3	-16.1	1.8	109	1058	1	0.40	2.09	0.65	1.60	2	0.48	3.04	0.63	2.59	1	0.27	101.20	0.43	89.78	5.5	13.6	-23.9	1.1	-19	513	675	5.9	13.5	109	1058	1	0.24	1.57	1	0.32	107.37	958	-16.1	1.0	109	1058	2	0.49	2.95	1	0.28	97.67	915	2.0	18.3	-16.1	-0.2	109	507	1	0.42	2.09	2	0.54	2.58	1	0.34	69.76
Elgygytgyn_Lake_P2	Cao et al.	311	100311	El'gygytgyn Lake_P2	172.125278	67.547222	Asia	965	2.0	18.3	-16.1	1.8	109	1058	1	0.40	2.09	0.65	1.60	2	0.48	3.04	0.63	2.59	1	0.27	101.20	0.43	89.78	3.1	13.3	-23.1	0.9	-59	562	656	3.8	13.3	109	1058	1	0.28	1.65	1	0.35	105.09	957	-16.1	0.8	109	1058	2	0.49	2.94	1	0.28	97.48	933	2.0	18.3	-16.1	1.6	109	561	1	0.41	2.08	2	0.52	2.74	1	0.29	77.51
KHUISIIN	Cao et al.	313	100313	Khuisiin Lake	101.800000	46.600000	Asia	2696	1.9	34.0	-10.4	16.1	15	1328	1	0.59	3.69	0.74	2.94	2	0.60	3.20	0.70	2.79	1	0.66	118.35	0.78	95.58	12.3	16.3	-3.5	1.0	293	387	491	12.3	16.2	46	992	1	0.08	1.15	1	0.56	117.09	925	-3.4	1.0	65	992	1	0.13	1.23	1	0.54	105.77	528	1.9	25.0	-10.4	9.4	294	386	2	0.74	2.93	2	0.64	2.45	1	0.06	24.92
Lake_Fernsehsee	Cao et al.	314	100314	Lake Fernsehsee	60.498967	52.828031	Asia	1875	6.8	31.8	-9.2	17.5	56	2121	2	0.58	2.51	0.69	2.16	2	0.64	3.01	0.74	2.53	2	0.62	123.19	0.79	91.82	15.3	20.3	-0.5	3.5	267	524	1099	15.4	20.2	88	1007	2	0.43	0.87	1	0.54	77.08	735	-0.4	3.4	79	1511	1	0.17	0.92	2	0.70	88.97	715	6.8	28.8	-9.2	13.4	271	524	2	0.66	2.21	2	0.67	2.73	1	0.36	58.01
GONGHAI	Cao et al.	315	100315	Gonghai Lake	112.233333	38.900000	Asia	2691	1.9	34.0	-10.4	23.4	15	4360	2	0.68	3.44	0.78	2.88	2	0.80	3.40	0.85	2.92	2	0.85	249.66	0.91	194.88	13.7	21.8	-0.4	6.5	204	751	1264	13.7	21.7	36	3486	1	0.21	1.86	2	0.87	183.69	1087	-0.3	6.4	40	1437	1	0.19	1.58	2	0.79	110.51	1615	1.9	27.5	-10.4	14.2	204	751	1	0.63	3.23	2	0.53	2.95	2	0.63	97.87
QIGANHU	Cao et al.	316	100316	Qiganhu Lake	119.300000	42.900000	Asia	2413	4.3	29.8	-10.0	20.6	35	3486	2	0.63	2.98	0.74	2.50	2	0.71	3.13	0.80	2.64	2	0.85	234.45	0.90	192.12	15.9	22.7	-0.2	5.7	229	634	1358	16.0	22.6	58	3486	1	0.18	1.62	2	0.86	221.86	993	-0.2	5.7	58	2147	2	0.27	1.31	2	0.86	136.58	1152	4.3	27.5	-10.0	13.9	230	630	1	0.60	2.93	2	0.59	2.86	1	0.43	86.36
SIHAILONG	Cao et al.	317	100317	Sihailongwan Lake	126.600000	42.283333	Asia	1896	11.0	29.8	-10.3	20.6	46	3486	2	0.58	2.26	0.69	1.95	2	0.70	3.06	0.80	2.56	2	0.83	254.30	0.89	208.61	13.9	23.7	-3.3	10.2	133	1299	1576	13.9	23.6	107	3486	2	0.43	1.78	2	0.85	226.99	1421	-3.3	10.1	46	3421	2	0.54	2.28	2	0.84	205.16	1470	11.0	29.0	-10.3	17.1	148	1298	2	0.58	2.16	2	0.70	2.75	2	0.84	118.29
Chaginskoe	Cao et al.	319	100319	Chaginskoe	84.883333	56.450000	Asia	2130	4.6	34.0	-13.6	15.6	15	992	2	0.56	3.14	0.73	2.46	2	0.66	3.02	0.77	2.44	2	0.65	102.78	0.81	75.93	12.6	20.4	-6.5	3.5	300	577	1384	12.6	20.3	90	834	1	0.39	1.58	2	0.61	93.18	1496	-6.4	3.4	77	992	2	0.48	1.98	2	0.63	99.07	1103	4.6	28.8	-12.4	13.4	302	576	2	0.69	2.25	1	0.65	2.47	1	0.33	67.05
SAYRAM	Cao et al.	320	100320	Sayram Lake	81.150000	44.566667	Asia	2319	-3.0	34.0	-12.4	15.6	15	992	1	0.53	3.98	0.68	3.30	1	0.42	3.49	0.62	2.84	2	0.65	103.05	0.79	80.25	11.9	19.8	-1.0	3.8	102	335	1205	11.9	19.7	27	992	2	0.36	1.85	2	0.68	99.63	976	-1.0	3.7	28	828	1	0.22	1.13	2	0.67	88.30	859	-3.0	31.8	-11.0	15.4	103	334	2	0.59	3.80	2	0.57	3.23	1	0.25	55.81
SUMXI	Cao et al.	321	100321	Sumxi	80.243922	34.605803	Asia	1490	-3.0	34.0	-12.4	16.8	15	812	2	0.55	4.47	0.67	3.81	1	0.41	4.07	0.61	3.30	1	0.62	113.50	0.81	81.31	12.4	20.6	-0.3	3.9	154	436	435	12.4	20.6	27	812	1	0.18	2.09	1	0.62	120.21	378	-0.3	3.9	28	802	1	0.17	1.13	1	0.67	112.03	798	-3.0	28.8	-11.0	16.8	154	436	2	0.61	3.85	2	0.52	3.34	1	0.40	62.83
XIMEN	Cao et al.	322	100322	Ximen Co	101.470000	33.380000	Asia	2510	-3.0	34.0	-12.4	25.7	15	2250	2	0.70	3.95	0.79	3.28	2	0.79	3.63	0.85	3.11	2	0.87	180.46	0.92	147.77	7.0	15.0	-4.0	2.8	388	586	829	7.0	14.9	30	929	1	0.30	1.84	1	0.58	120.79	922	-3.9	2.7	30	858	1	0.25	1.65	1	0.56	118.67	517	4.2	27.5	-7.2	13.9	390	584	2	0.80	2.71	1	0.70	2.61	1	0.30	47.72
ILIRNEY	AWI	324	100324	Ilirney	168.320025	67.351661	Asia	1037	2.0	18.6	-16.1	1.8	109	1058	2	0.52	2.13	0.70	1.70	2	0.44	2.96	0.61	2.47	1	0.23	99.00	0.41	86.60	6.2	13.5	-16.3	-8.6	118	342	648	6.2	13.5	109	1058	1	0.22	1.51	2	0.41	100.83	701	-16.1	-8.7	109	422	1	0.33	1.61	1	0.26	54.59	808	2.0	18.6	-16.1	-3.0	120	342	2	0.60	2.12	2	0.63	1.86	1	0.32	46.62
RAUCHUAGY	AWI	325	100325	Rauchuagytgyn	168.729084	67.793743	Asia	1045	2.0	18.6	-16.1	1.8	109	1058	2	0.52	2.13	0.70	1.70	2	0.44	2.96	0.62	2.46	1	0.23	99.41	0.42	86.39	8.0	13.0	-13.2	-8.4	208	371	537	8.1	13.0	112	1058	1	0.13	1.17	2	0.41	101.34	479	-13.1	-8.4	109	422	1	0.25	1.01	2	0.44	52.23	605	5.3	18.6	-16.1	-2.4	209	371	2	0.59	2.02	2	0.66	1.96	1	0.17	35.75
BOLSHOTO	AWI	326	100326	Bolshoe Toko PG2133	130.533333	56.266667	Asia	1701	3.8	24.6	-16.1	11.3	107	1650	2	0.65	2.25	0.78	1.78	2	0.80	3.32	0.86	2.77	2	0.84	125.66	0.88	110.67	8.0	17.8	-13.8	-3.6	132	492	918	8.0	17.7	173	1650	2	0.50	1.92	2	0.84	118.21	454	-13.6	-3.7	179	904	1	0.38	2.28	1	0.30	83.18	1028	3.8	24.6	-16.1	7.0	136	492	2	0.72	2.24	2	0.83	2.89	2	0.30	69.83
EMANDA	AWI	327	100327	Emanda	135.759167	65.294000	Asia	1100	-2.4	21.7	-18.9	2.4	136	1058	2	0.54	2.54	0.68	2.09	1	0.60	3.21	0.69	2.82	1	0.58	105.22	0.67	93.05	7.9	16.5	-15.3	-7.8	163	414	727	8.0	16.4	148	1058	2	0.40	1.69	2	0.65	95.85	693	-15.2	-7.9	136	619	1	0.33	1.53	1	0.23	57.31	737	-2.4	20.0	-18.9	-1.0	164	413	1	0.54	2.47	1	0.33	2.27	1	0.23	52.70
OMOLOY-02B	AWI	328	100328	Omoloy 14-OM-02B	132.670000	70.720000	Asia	900	-2.4	18.6	-18.9	-1.0	136	644	1	0.47	2.46	0.69	1.89	1	0.38	2.48	0.53	2.17	1	0.34	83.79	0.57	68.08	9.8	11.9	-13.6	-12.5	234	271	242	9.8	11.9	148	496	1	0.22	0.58	1	0.44	68.26	144	-13.5	-12.5	151	320	1	0.29	0.25	1	0.25	34.52	177	5.3	18.6	-16.1	-8.7	235	270	1	0.55	2.23	1	0.49	1.50	1	0.09	10.02
OMOLOY-12A	AWI	329	100329	Omoloy 14-OM-12A	132.570000	70.960000	Asia	895	-2.4	18.6	-18.9	-1.6	136	644	1	0.47	2.46	0.69	1.89	1	0.38	2.45	0.52	2.15	1	0.34	82.95	0.56	67.43	9.3	11.6	-14.0	-12.5	218	282	206	9.4	11.5	148	496	1	0.36	0.46	1	0.46	68.04	213	-14.0	-12.6	151	329	1	0.17	0.35	1	0.35	35.83	297	5.3	18.6	-16.1	-8.7	219	282	2	0.63	2.24	1	0.38	1.54	1	0.17	15.96
OMOLOY-20B	AWI	330	100330	Omoloy 14-OM-20B	132.910000	70.530000	Asia	907	-2.4	18.6	-18.9	-1.0	136	644	1	0.46	2.48	0.69	1.88	1	0.41	2.52	0.56	2.19	1	0.37	84.43	0.58	68.75	10.2	11.5	-13.5	-12.6	240	261	104	10.3	11.4	148	496	1	0.20	0.31	1	0.45	74.85	134	-13.5	-12.7	151	320	1	0.33	0.21	1	0.29	32.62	88	5.9	18.6	-15.7	-9.6	242	260	1	0.37	2.13	1	0.50	1.52	1	0.08	4.32