URL	WMOstn	WBANo	Acz	HVAC	meanPa	WBref	hBASE	dpy	[	avHDD	avCDD	avChD	]	low	min	ave	max	best	[	WsD	YsD	]	yrs	dys	[	Icy	Hea	Hum	Pas	Vtn	EvC	DX	]	24Cd	67Fd	latitude	longitude	elev	base	stop	CC	ST	Placename		psychrometric_chart_image
https://bioclimatic.github.io/predilection/psych/381413-99999_fig2.png	381413	99999	4	GsEv	96127	19.4	57.4	16	[	2242	415	3	]	22	27	40	45	47	[	4	0	]	16	364	[	63	138	0	58	38	64	2	]	105	2	40.215	69.695	442	2005	2020	TI		KHUDZHAND		381413-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/385980-99999_fig2.png	385980	99999	4	GsAc	97225	19.4	56.9	10	[	2235	292	186	]	8	20	31	39	47	[	15	0	]	10	362	[	73	131	0	64	47	18	29	]	94	40	40.267	69.817	347	2011	2020	TI		KAJRAKKUMSKOE		385980-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/385990-99999_fig2.png	385990	99999	3	GsEv	96736	19.4	57.1	26	[	1757	289	5	]	19	5	30	34	35	[	5	0	]	22	278	[	49	108	0	45	30	44	2	]	76	2	40.217	69.733	427	1987	2020	TI		KHUDJANT		385990-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/386090-99999_fig2.png	386090	99999	4	GsEv	91609	19.4	59.3	11	[	2386	191	1	]	7	NaN	35	40	40	[	0	0	]	7	334	[	55	154	1	60	37	27	0	]	65	0	40.133	70.6	873	1987	1994	TI		ISFARA		386090-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387050-99999_fig2.png	387050	99999	3	GsVt	90147	19.4	60	17	[	796	39	0	]	0	0	0	0	0	[	0	0	]	22	115	[	23	48	0	25	13	5	0	]	19	0	39.5	67.6	1015	2014	2020	TI		PENDZHIKENT		387050-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387130-99999_fig2.png	387130	99999	3	GsVt	90368	19.4	59.9	23	[	1657	62	0	]	0	0	0	0	0	[	0	0	]	24	209	[	36	103	0	42	20	8	0	]	28	0	39.9	68.983	1005	1987	2020	TI		URA-TYUBE		387130-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387150-99999_fig2.png	387150	99999	3	Gs__	68843	19.4	72.9	15	[	1966	0	0	]	0	0	0	0	0	[	0	0	]	22	115	[	27	88	0	0	0	0	0	]	0	0	39.567	68.583	3143	2014	2020	TI		SHAHRISTANSKIJ PEREVAL		387150-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387180-99999_fig2.png	387180	99999	3	Hp__	77503	19.4	66.7	8	[	837	0	0	]	0	0	0	0	0	[	0	0	]	33	76	[	6	63	0	7	0	0	0	]	0	0	39.1	68.383	2204	2014	2020	TI		ISKANDERKUL		387180-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387190-99999_fig2.png	387190	99999	3	Gs__	66847	19.4	74.5	9	[	1576	0	0	]	0	0	0	0	0	[	0	0	]	32	79	[	30	49	0	0	0	0	0	]	0	0	39.083	68.867	3373	2014	2020	TI		ANZQBSKIJ PEREVAL		387190-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387250-99999_fig2.png	387250	99999	4	Gs__	77213	19.4	66.9	26	[	2350	0	0	]	0	0	0	0	0	[	0	0	]	19	229	[	14	186	3	26	0	0	0	]	0	0	39.433	69.667	2234	2009	2020	TI		MADRUSHKAT		387250-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387340-99999_fig2.png	387340	99999	4	Gs__	74112	19.4	69	16	[	2182	0	0	]	0	0	0	0	0	[	0	0	]	33	161	[	27	131	0	3	0	0	0	]	0	0	39.45	70.2	2561	2006	2020	TI		DEHAVZ		387340-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/387440-99999_fig2.png	387440	99999	5	Gs__	82141	19.4	64	28	[	3402	2	0	]	0	0	0	0	0	[	0	0	]	22	294	[	69	180	1	42	2	0	0	]	2	0	39.283	71.867	1198	2003	2020	TI		LAHSH		387440-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388360-99999_fig2.png	388360	99999	3	GsEv	92082	19.4	59.1	34	[	1947	312	12	]	13	23	38	46	47	[	6	0	]	27	363	[	36	167	0	65	46	45	4	]	95	4	38.543	68.825	785	1987	2020	TI		DUSHANBE		388360-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388380-99999_fig2.png	388380	99999	3	GsEv	95095	19.4	57.8	20	[	998	329	4	]	12	0	20	23	24	[	12	0	]	32	202	[	23	80	0	32	18	46	2	]	67	2	38.05	68.35	563	2003	2020	TI		ISAMBAJ		388380-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388440-99999_fig2.png	388440	99999	3	Gs__	77165	19.4	67	16	[	1568	0	0	]	0	0	0	0	0	[	0	0	]	30	144	[	21	99	1	23	0	0	0	]	0	0	38.25	69.233	2239	2009	2020	TI		SANGLOK		388440-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388460-99999_fig2.png	388460	99999	4	GsVt	85322	19.4	62.3	10	[	2428	80	85	]	8	15	28	36	40	[	5	0	]	11	328	[	70	145	0	70	34	2	7	]	42	18	38.367	69.983	1468	2010	2020	TI		HOVALING		388460-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388470-99999_fig2.png	388470	99999	3	GsEv	93644	19.4	58.4	13	[	655	210	1	]	6	2	11	12	13	[	4	0	]	34	137	[	13	56	1	23	13	30	1	]	44	1	38.1	69.317	660	2008	2020	TI		DANGARA		388470-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388510-99999_fig2.png	388510	99999	3	Gs__	86483	19.4	61.7	15	[	789	14	0	]	1	0	3	4	4	[	0	0	]	25	101	[	15	53	0	25	7	1	0	]	8	0	39	70.3	1316	2014	2020	TI		RASHT		388510-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388560-99999_fig2.png	388560	99999	3	GsEv	87325	19.4	61.3	15	[	675	99	3	]	4	0	8	9	9	[	1	0	]	23	110	[	10	54	0	18	12	14	1	]	27	1	38.467	70.883	1288	2014	2020	TI		DARVAZ		388560-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388690-99999_fig2.png	388690	99999	3	Gs__	67683	19.4	73.8	14	[	1568	0	0	]	0	0	0	0	0	[	0	0	]	26	97	[	15	81	0	1	0	0	0	]	0	0	38.167	72.633	3276	2014	2020	TI		IHRT		388690-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388750-99999_fig2.png	388750	99999	3	Gs__	62124	19.4	78.9	13	[	2028	0	0	]	0	0	0	0	0	[	0	0	]	25	97	[	25	72	0	0	0	0	0	]	0	0	39.017	73.55	3940	2014	2020	TI		KARAKUL		388750-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/388780-99999_fig2.png	388780	99999	3	Gs__	65124	19.4	76	16	[	1926	0	0	]	0	0	0	0	0	[	0	0	]	24	105	[	14	91	0	0	0	0	0	]	0	0	38.167	73.967	3576	2014	2020	TI		MURGAB		388780-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389320-99999_fig2.png	389320	99999	3	GsEv	92611	19.4	58.9	9	[	1628	375	0	]	0	0	0	0	0	[	0	0	]	7	306	[	40	125	1	49	34	57	0	]	91	0	37.95	68.567	752	2015	2020	TI		GANDZHINA		389320-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389330-99999_fig2.png	389330	99999	3	GsAc	96646	19.4	57.2	31	[	1461	389	306	]	10	17	31	39	42	[	44	5	]	20	314	[	29	130	0	56	35	15	48	]	99	52	37.817	68.783	429	1987	2020	TI		KURGAN-TYUBE		389330-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389370-99999_fig2.png	389370	99999	3	HpEv	96843	19.4	57.1	5	[	524	120	37	]	6	9	12	15	16	[	14	1	]	3	109	[	9	50	0	19	12	10	9	]	31	9	37.317	68.133	380	1987	1987	TI		SHAARTUZ		389370-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389430-99999_fig2.png	389430	99999	3	HpVt	93833	19.4	58.3	6	[	233	52	2	]	3	1	6	6	7	[	1	0	]	29	44	[	5	20	0	6	4	7	1	]	12	1	37.917	69.783	659	1987	1991	TI		KULYAB		389430-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389440-99999_fig2.png	389440	99999	3	GsAc	95803	19.4	57.5	25	[	1147	349	29	]	14	8	25	29	30	[	17	0	]	27	237	[	28	92	0	38	24	44	10	]	78	10	37.483	69.383	448	1987	2020	TI		PARKHAR		389440-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389470-99999_fig2.png	389470	99999	3	GsAc	97396	19.4	56.9	14	[	577	163	102	]	4	6	12	14	16	[	17	2	]	30	117	[	13	48	0	18	12	8	18	]	39	19	37.233	69.083	363	1987	2020	TI		PYANDJ		389470-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389510-99999_fig2.png	389510	99999	5	GsVt	79683	19.4	65.4	7	[	3200	47	1	]	1	NaN	35	43	44	[	0	0	]	7	361	[	40	217	0	75	26	3	0	]	30	0	37.95	71.55	1981	2014	2020	TI		RUSHAN		389510-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389540-99999_fig2.png	389540	99999	5	GsVt	79358	19.4	65.6	33	[	3391	31	0	]	1	NaN	34	43	44	[	0	0	]	24	345	[	53	198	1	73	18	2	0	]	21	0	37.5	71.5	2077	1987	2020	TI		KHOROG		389540-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/389570-99999_fig2.png	389570	99999	3	Gs__	74469	19.4	68.7	15	[	1307	0	0	]	0	0	0	0	0	[	0	0	]	21	120	[	18	82	0	19	1	0	0	]	1	0	36.717	71.6	2523	2014	2020	TI		ISHKASHIM		389570-99999_fig2.png