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/111290-99999_fig2.png	111290	99999	3	Gs__	86018	19.4	61.9	8	[	733	0	0	]	0	0	0	0	0	[	0	0	]	30	60	[	19	39	0	2	0	0	0	]	0	0	47	11.5	-1000	2014	2020	IT		PASSO DEL BRENNERO		111290-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160080-99999_fig2.png	160080	99999	6	Gs__	85382	19.4	62.3	33	[	4346	0	0	]	0	0	0	0	0	[	0	0	]	34	351	[	83	259	0	9	0	0	0	]	0	0	46.75	10.533	1461	1987	2020	IT		S. VALENTINO ALLA MUTA		160080-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160083-99999_fig2.png	160083	99999	6	Gs__	81490	19.4	64.4	33	[	4412	0	0	]	0	NaN	NaN	NaN	NaN	[	0	0	]	32	359	[	84	265	0	10	0	0	0	]	0	0	46.833	10.5	1800	1989	2020	IT		RESIA PASS		160083-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160140-99999_fig2.png	160140	99999	3	Gs__	90919	19.4	59.6	9	[	1489	0	0	]	0	0	0	0	0	[	0	0	]	8	132	[	30	97	0	5	0	0	0	]	0	0	46.883	11.433	921	2007	2017	IT		VIPITENO		160140-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160200-99999_fig2.png	160200	99999	4	GsEv	98460	19.4	56.5	31	[	2297	88	78	]	9	14	28	36	41	[	3	0	]	30	351	[	40	192	0	74	34	3	8	]	43	24	46.46	11.326	240	1987	2020	IT		BOLZANO		160200-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160210-99999_fig2.png	160210	99999	6	Gs__	79453	19.4	65.6	32	[	5029	0	0	]	0	0	0	0	0	[	0	0	]	33	339	[	100	239	0	0	0	0	0	]	0	0	46.3	11.783	2006	1987	2020	IT		ROLLE PASS		160210-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160220-99999_fig2.png	160220	99999	7	Gs__	78231	19.4	66.3	32	[	5306	0	0	]	0	0	0	0	0	[	0	0	]	34	341	[	121	220	0	0	0	0	0	]	0	0	46.15	11.033	2129	1987	2020	IT		PAGANELLA MOUNTAIN		160220-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160230-99999_fig2.png	160230	99999	3	Hp__	99373	19.4	56.1	7	[	584	17	31	]	2	2	7	9	10	[	2	0	]	8	83	[	6	52	0	15	8	0	2	]	8	7	46.017	11.117	190	2017	2018	IT		TRENTO		160230-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160330-99999_fig2.png	160330	99999	5	Gs__	87440	19.4	61.2	33	[	3992	1	0	]	0	0	13	16	17	[	0	0	]	34	353	[	94	228	0	30	1	0	0	]	1	0	46.733	12.217	1226	1987	2020	IT		DOBBIACO		160330-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160360-99999_fig2.png	160360	99999	3	GsAc	99927	19.4	55.9	34	[	1975	121	380	]	3	12	25	31	38	[	8	0	]	29	338	[	32	185	0	63	42	0	16	]	48	52	46.032	12.596	117	1987	2019	IT		AVIANO AB		160360-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160365-99999_fig2.png	160365	99999	4	GsVt	99820	19.4	55.9	9	[	2375	58	118	]	7	15	26	34	40	[	1	0	]	8	365	[	42	206	0	78	34	0	5	]	33	31	46.017	12.617	126	1987	1994	IT		AVIANO (USAF)		160365-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160370-99999_fig2.png	160370	99999	3	GsVt	100069	19.4	55.9	11	[	1572	28	89	]	3	6	15	21	25	[	1	0	]	9	252	[	26	149	0	51	24	0	2	]	17	23	46.033	12.617	125	1996	2008	IT		AVIANO (USAF)		160370-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160400-99999_fig2.png	160400	99999	5	GsVt	92321	19.4	59	33	[	3196	13	14	]	2	12	25	32	34	[	0	0	]	31	348	[	96	186	0	55	9	1	1	]	9	5	46.5	13.583	778	1987	2020	IT		TARVISIO		160400-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160410-99999_fig2.png	160410	99999	4	Gs__	92660	19.4	58.8	5	[	2170	1	0	]	0	0	0	0	0	[	0	0	]	5	216	[	66	127	0	23	0	0	0	]	1	0	46.5	13.583	778	2006	2008	IT		TARVISIO		160410-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160450-99999_fig2.png	160450	99999	4	GsEv	100690	19.4	55.6	34	[	2089	81	186	]	4	12	25	32	40	[	4	0	]	12	358	[	24	209	0	78	37	1	9	]	39	37	45.979	13.049	55	1987	2014	IT		RIVOLTO		160450-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160460-99999_fig2.png	160460	99999	3	HpVt	101022	19.4	55.5	4	[	958	62	223	]	4	8	12	16	19	[	4	0	]	4	181	[	8	100	0	34	32	0	7	]	34	36	45.967	13.033	53	2007	2008	IT		UDINE/RIVOLTO		160460-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160520-99999_fig2.png	160520	99999	7	Gs__	65870	19.4	75.4	14	[	5650	0	0	]	0	0	0	0	0	[	0	0	]	21	240	[	92	148	0	0	0	0	0	]	0	0	45.933	7.7	3488	1987	2019	IT		PIAN ROSA (MTN TOP)		160520-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160540-99999_fig2.png	160540	99999	3	GsVt	95332	19.4	57.7	13	[	1453	9	4	]	2	1	7	9	9	[	0	0	]	15	188	[	20	126	0	29	14	0	0	]	7	11	45.733	7.35	551	1989	2020	IT		AOSTA POLLEIN		160540-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160580-99999_fig2.png	160580	99999	3	Gs__	85780	19.4	62.1	9	[	1070	0	0	]	0	0	0	0	0	[	0	0	]	8	90	[	26	62	0	2	0	0	0	]	0	0	44.933	6.817	1400	2006	2020	IT		BOUSSON		160580-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160590-99999_fig2.png	160590	99999	4	GsVt	97920	19.4	56.7	31	[	2465	37	162	]	6	13	23	31	37	[	3	0	]	31	364	[	53	203	0	70	36	0	3	]	26	33	45.201	7.65	301	1987	2020	IT		TORINO CASELLE		160590-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160595-99999_fig2.png	160595	99999	3	GsAc	97909	19.4	56.7	12	[	1874	206	196	]	11	22	30	34	41	[	1	0	]	12	361	[	30	183	1	73	43	6	25	]	72	42	45.086	7.603	288	2009	2020	IT		AERITALIA-TORINO		160595-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160600-99999_fig2.png	160600	99999	3	GsVt	98599	19.4	56.4	10	[	1324	6	38	]	1	3	11	16	18	[	0	0	]	8	196	[	24	112	0	35	25	0	0	]	7	22	45.117	7.617	277	2006	2020	IT		TORINO VENARIA		160600-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160610-99999_fig2.png	160610	99999	4	GsVt	93081	19.4	58.6	33	[	2570	12	94	]	8	14	20	27	33	[	0	0	]	34	353	[	46	226	0	58	22	0	1	]	10	20	45.033	7.733	710	1987	2020	IT		TORINO/BRIC CROCE		160610-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160640-99999_fig2.png	160640	99999	4	GsVt	99310	19.4	56.1	33	[	2404	40	140	]	4	12	22	30	35	[	1	0	]	18	338	[	64	177	0	62	30	2	3	]	22	30	45.53	8.669	179	1987	2003	IT		CAMERI		160640-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160660-99999_fig2.png	160660	99999	4	GsVt	98820	19.4	56.3	32	[	2540	43	105	]	7	14	26	35	39	[	3	0	]	32	364	[	56	200	0	73	32	0	3	]	29	27	45.631	8.728	234	1987	2020	IT		MALPENSA		160660-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160670-99999_fig2.png	160670	99999	3	Gs__	98601	19.4	56.4	4	[	594	11	3	]	6	0	10	12	13	[	0	0	]	3	107	[	12	60	0	26	9	0	0	]	9	3	45.65	8.817	238	2008	2008	IT		GALLARATE		160670-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160680-99999_fig2.png	160680	99999	3	HpVt	100170	19.4	55.8	7	[	603	15	23	]	1	2	3	5	5	[	0	0	]	7	104	[	6	65	0	18	15	0	0	]	10	16	45.1	8.45	120	2006	2008	IT		CASALE MONFERRATO		160680-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160720-99999_fig2.png	160720	99999	3	Gs__	86595	19.4	61.7	8	[	1996	0	0	]	1	0	0	3	3	[	0	0	]	16	189	[	40	139	0	10	0	0	0	]	0	0	45.867	9.067	1322	1987	1996	IT		BISBINO MOUNTAIN		160720-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160760-99999_fig2.png	160760	99999	4	GsAc	98510	19.4	56.4	34	[	2262	84	149	]	10	17	27	35	40	[	4	0	]	34	364	[	40	203	0	76	35	0	10	]	42	33	45.674	9.704	238	1987	2020	IT		BERGAMO ORIO AL SERIO		160760-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160800-99999_fig2.png	160800	99999	4	GsAc	100082	19.4	55.8	34	[	2180	111	303	]	7	15	26	34	39	[	9	0	]	34	364	[	52	180	0	71	47	0	13	]	52	50	45.445	9.277	108	1987	2020	IT		LINATE		160800-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160810-99999_fig2.png	160810	99999	3	GsVt	100311	19.4	55.8	8	[	716	31	65	]	2	7	10	13	15	[	2	0	]	8	117	[	16	62	0	22	13	1	3	]	14	12	45.467	9.267	108	2006	2008	IT		MILANO/LINATE		160810-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160840-99999_fig2.png	160840	99999	4	GsAc	99680	19.4	56	33	[	2169	139	358	]	2	11	24	31	39	[	8	0	]	33	350	[	58	165	0	63	44	1	19	]	55	52	44.913	9.723	139	1987	2020	IT		PIACENZA		160840-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160880-99999_fig2.png	160880	99999	4	GsAc	100172	19.4	55.8	32	[	2187	115	267	]	5	13	24	31	37	[	8	0	]	33	339	[	60	161	0	63	39	1	14	]	49	43	45.432	10.268	102	1987	2020	IT		GHEDI		160880-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160890-99999_fig2.png	160890	99999	3	GsAc	100894	19.4	55.5	11	[	1227	92	479	]	4	11	15	18	24	[	7	1	]	12	235	[	16	126	0	38	43	0	12	]	46	51	45.467	10.55	65	2006	2020	IT		DESENZANO		160890-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160900-99999_fig2.png	160900	99999	4	GsAc	100510	19.4	55.7	33	[	2200	117	409	]	3	11	23	31	37	[	14	0	]	34	354	[	55	175	0	60	49	0	15	]	50	57	45.396	10.889	73	1987	2020	IT		VILLAFRANCA		160900-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160903-99999_fig2.png	160903	99999	3	GsAc	101169	19.4	55.4	4	[	1891	138	398	]	2	15	25	29	38	[	4	0	]	3	337	[	34	166	0	73	43	0	20	]	53	55	45.4	11.85	13	1987	1989	IT		PADOVA (CIV/IT-AFB)		160903-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160940-99999_fig2.png	160940	99999	3	GsAc	100857	19.4	55.6	21	[	1992	159	331	]	5	13	25	31	38	[	8	0	]	21	346	[	39	174	0	67	43	1	22	]	59	52	45.573	11.53	39	1987	2007	IT		VICENZA		160940-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160950-99999_fig2.png	160950	99999	3	GsEv	101157	19.4	55.5	11	[	574	63	105	]	2	6	9	10	13	[	2	0	]	31	112	[	10	57	0	21	14	1	9	]	22	18	45.4	11.85	14	1987	2020	IT		PADOVA		160950-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160980-99999_fig2.png	160980	99999	4	GsAc	100770	19.4	55.6	34	[	2233	105	351	]	4	13	24	33	39	[	14	1	]	34	364	[	48	188	0	69	45	0	14	]	48	53	45.685	12.083	42	1987	2020	IT		ISTRANA		160980-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/160990-99999_fig2.png	160990	99999	4	GsAc	101083	19.4	55.5	34	[	2175	98	334	]	4	13	24	32	39	[	10	0	]	33	360	[	44	191	0	67	46	0	12	]	45	53	45.648	12.194	18	1987	2020	IT		TREVISO		160990-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161010-99999_fig2.png	161010	99999	3	GsVt	101451	19.4	55.3	11	[	434	19	97	]	1	3	4	5	7	[	2	0	]	16	67	[	13	30	0	10	11	0	3	]	9	13	45.433	12.383	5	2006	2018	IT		VENEZIA LIDO		161010-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161050-99999_fig2.png	161050	99999	4	GsVt	101260	19.4	55.4	34	[	2167	81	347	]	4	12	23	30	37	[	6	0	]	34	364	[	39	197	0	69	50	0	9	]	44	54	45.505	12.352	2	1987	2020	IT		VENEZIA TESSERA		161050-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161070-99999_fig2.png	161070	99999	3	GsVt	101716	19.4	55.3	11	[	873	19	111	]	2	5	10	14	16	[	3	0	]	7	148	[	17	83	0	27	20	0	1	]	13	20	45.75	12.85	2	2007	2020	IT		CONCORDIA SAGITTARIA		161070-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161080-99999_fig2.png	161080	99999	4	GsVt	101209	19.4	55.4	30	[	2179	68	179	]	4	12	25	34	40	[	7	0	]	30	364	[	23	222	0	72	40	0	7	]	37	39	45.828	13.472	11	1987	2020	IT		RONCHI DEI LEGIONARI		161080-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161100-99999_fig2.png	161100	99999	3	HpAc	101080	19.4	55.5	32	[	1629	120	290	]	8	17	24	29	38	[	5	0	]	34	342	[	4	207	0	73	42	1	15	]	52	47	45.65	13.75	20	1987	2020	IT		TRIESTE		161100-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161110-99999_fig2.png	161110	99999	3	Gs__	86528	19.4	61.7	4	[	1576	0	1	]	1	0	2	3	4	[	0	0	]	9	152	[	25	117	0	9	1	0	0	]	0	1	44.233	8.2	1382	2006	2020	IT		MONTE SETTEPANI		161110-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161140-99999_fig2.png	161140	99999	3	GsVt	95192	19.4	57.8	29	[	1915	40	206	]	5	10	18	24	30	[	3	0	]	30	294	[	32	176	1	49	31	1	4	]	24	31	44.383	7.817	560	1987	2020	IT		MONDOVI		161140-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161150-99999_fig2.png	161150	99999	4	GsVt	82075	19.4	64	33	[	2201	50	259	]	5	13	21	28	35	[	3	0	]	29	335	[	35	201	1	59	34	0	5	]	29	34	44.25	7.8	1742	1989	2020	IT		MALANOTTE MOUNTAIN		161150-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161170-99999_fig2.png	161170	99999	3	Hp__	97168	19.4	57	5	[	113	0	0	]	0	0	0	0	0	[	0	0	]	22	15	[	2	9	0	4	0	0	0	]	0	0	44.533	7.617	386	2007	2007	IT		CUNEO LEVALDIGI		161170-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161180-99999_fig2.png	161180	99999	3	GsVt	99654	19.4	56	3	[	1950	29	130	]	0	6	14	19	22	[	1	0	]	5	287	[	39	166	0	55	27	0	1	]	22	26	44.767	8.783	187	1987	1997	IT		NOVI LIGURE		161180-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161190-99999_fig2.png	161190	99999	4	GsVt	95747	19.4	57.5	33	[	2265	10	56	]	3	14	22	27	33	[	0	0	]	24	330	[	42	209	0	61	18	0	0	]	10	15	44.633	8.933	475	1990	2020	IT		GIOVI PASS		161190-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161200-99999_fig2.png	161200	99999	3	HpVt	101290	19.4	55.4	31	[	1347	92	470	]	7	15	21	26	38	[	3	0	]	31	364	[	2	213	0	76	63	1	9	]	53	66	44.412	8.842	4	1987	2020	IT		GENOVA SESTRI		161200-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161210-99999_fig2.png	161210	99999	3	Hp__	100796	19.4	55.6	5	[	137	9	50	]	1	2	2	3	4	[	0	0	]	20	36	[	0	20	0	8	7	0	1	]	7	7	44.4	8.9	45	2006	2008	IT		GENOVA		161210-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161220-99999_fig2.png	161220	99999	3	HpAc	100784	19.4	55.6	34	[	1324	191	413	]	5	14	25	30	41	[	6	0	]	34	361	[	3	205	0	72	54	4	22	]	72	61	44.051	8.127	45	1987	2020	IT		ALBENGA		161220-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161230-99999_fig2.png	161230	99999	3	HpVt	101531	19.4	55.3	11	[	704	21	86	]	4	8	13	16	21	[	0	0	]	9	185	[	1	114	0	47	22	0	1	]	17	19	44.317	9.333	30	2007	2020	IT		CHIAVARI		161230-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161240-99999_fig2.png	161240	99999	5	Gs__	89440	19.4	60.3	31	[	3242	1	2	]	4	12	18	24	25	[	0	0	]	26	330	[	87	211	0	30	2	0	0	]	1	1	44.433	9.933	1040	1987	2016	IT		CISA PASS		161240-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161250-99999_fig2.png	161250	99999	3	HpAc	101206	19.4	55.4	34	[	1446	133	401	]	1	14	23	29	40	[	4	0	]	15	342	[	6	199	0	67	52	2	16	]	57	57	44.083	9.983	10	1987	2002	IT		SARZANA/LUNI		161250-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161260-99999_fig2.png	161260	99999	3	Gs__	95916	19.4	57.5	5	[	1285	0	3	]	6	3	11	14	15	[	0	0	]	4	180	[	27	119	0	32	2	0	0	]	1	2	44.55	8.933	488	2006	2007	IT		PASSO DEI GIOVI		161260-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161270-99999_fig2.png	161270	99999	3	HpVt	101469	19.4	55.3	3	[	656	11	0	]	0	0	0	0	0	[	0	0	]	2	122	[	0	104	0	1	17	0	0	]	10	13	44.083	9.983	9	2008	2008	IT		SARZANA		161270-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161280-99999_fig2.png	161280	99999	3	GsVt	101213	19.4	55.4	5	[	986	55	117	]	3	6	13	17	21	[	6	0	]	4	177	[	16	101	0	29	25	1	5	]	28	22	44.65	10.95	33	2007	2008	IT		MODENA		161280-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161290-99999_fig2.png	161290	99999	3	Hp__	97085	19.4	57	10	[	234	8	50	]	1	2	3	4	5	[	0	0	]	21	49	[	1	32	0	7	8	0	1	]	5	8	44.033	9.833	192	2008	2020	IT		PALMARIA ISLAND		161290-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161300-99999_fig2.png	161300	99999	3	Hp__	100895	19.4	55.5	6	[	247	15	14	]	1	2	4	5	6	[	0	0	]	23	46	[	6	21	0	13	5	1	1	]	7	3	44.817	10.283	51	2006	2008	IT		PARMA		161300-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161320-99999_fig2.png	161320	99999	3	GsVt	101009	19.4	55.5	9	[	669	56	76	]	4	7	10	13	16	[	2	0	]	8	127	[	12	60	0	29	19	2	5	]	25	17	44.533	11.283	52	2007	2018	IT		BOLOGNA		161320-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161330-99999_fig2.png	161330	99999	3	GsVt	101612	19.4	55.3	11	[	902	59	204	]	2	7	12	17	21	[	11	0	]	8	163	[	21	84	0	27	23	0	8	]	27	28	44.8	11.6	10	2006	2017	IT		FERRARA		161330-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161340-99999_fig2.png	161340	99999	6	Gs__	77842	19.4	66.5	28	[	4384	0	0	]	0	0	0	0	0	[	0	0	]	32	292	[	124	168	0	0	0	0	0	]	0	0	44.2	10.7	2173	1987	2018	IT		CIMONE MOUNTAIN		161340-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161343-99999_fig2.png	161343	99999	5	Gs__	90619	19.4	59.7	4	[	3901	0	0	]	0	NaN	NaN	NaN	NaN	[	0	0	]	2	340	[	113	206	0	21	0	0	0	]	0	0	44.033	10.933	932	1991	1993	IT		PORRETTA PASS		161343-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161380-99999_fig2.png	161380	99999	3	GsAc	101205	19.4	55.4	28	[	1895	330	794	]	2	11	27	32	41	[	28	3	]	19	359	[	41	165	0	55	44	2	51	]	86	80	44.833	11.617	10	1990	2020	IT		FERRARA (AUT)		161380-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161400-99999_fig2.png	161400	99999	4	GsAc	100740	19.4	55.6	34	[	2159	143	228	]	8	16	28	36	43	[	10	0	]	34	364	[	49	181	0	70	44	3	16	]	58	44	44.535	11.289	38	1987	2020	IT		BOLOGNA		161400-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161450-99999_fig2.png	161450	99999	3	GsVt	101565	19.4	55.3	3	[	2018	43	142	]	10	15	24	31	40	[	0	0	]	2	348	[	27	218	0	55	48	0	0	]	32	55	44.467	12.283	6	2006	2008	IT		PUNTA MARINA		161450-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161460-99999_fig2.png	161460	99999	3	GsAc	101253	19.4	55.4	33	[	1837	170	829	]	1	8	19	26	38	[	22	2	]	22	337	[	44	160	0	50	57	0	27	]	64	80	44.45	12.3	6	1987	2020	IT		POINT MARINA/RAVENN		161460-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161470-99999_fig2.png	161470	99999	4	GsAc	101147	19.4	55.5	34	[	2109	120	233	]	4	13	26	34	41	[	8	0	]	29	362	[	44	188	0	73	40	2	15	]	49	44	44.195	12.07	30	1987	2015	IT		FORLI		161470-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161480-99999_fig2.png	161480	99999	4	GsAc	101200	19.4	55.4	34	[	2151	92	477	]	0	9	21	30	39	[	13	0	]	34	363	[	56	180	0	59	56	0	12	]	46	65	44.224	12.307	6	1987	2020	IT		CERVIA		161480-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161490-99999_fig2.png	161490	99999	3	GsAc	101170	19.4	55.4	33	[	1968	91	558	]	1	9	20	27	38	[	11	0	]	34	354	[	41	188	0	55	57	0	13	]	47	68	44.02	12.612	12	1987	2020	IT		RIMINI		161490-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161500-99999_fig2.png	161500	99999	3	HpVt	101005	19.4	55.5	8	[	837	33	14	]	2	3	4	4	6	[	0	0	]	6	239	[	0	154	0	41	45	0	0	]	25	54	43.867	8.033	60	1989	2005	IT		IMPERIA		161500-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161530-99999_fig2.png	161530	99999	3	HpVt	98700	19.4	56.4	34	[	1436	65	368	]	7	14	20	27	39	[	2	0	]	34	364	[	1	230	0	67	60	1	5	]	39	57	43.95	8.167	221	1987	2020	IT		CAPE MELE		161530-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161580-99999_fig2.png	161580	99999	3	GsVt	101250	19.4	55.4	34	[	1752	56	283	]	3	11	22	31	40	[	7	0	]	34	364	[	13	223	0	72	52	0	4	]	38	51	43.684	10.393	2	1987	2020	IT		PISA		161580-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161640-99999_fig2.png	161640	99999	3	Hp__	94606	19.4	58	6	[	186	5	7	]	1	2	2	3	3	[	0	0	]	12	28	[	2	19	0	4	3	0	0	]	3	2	43.4	10.867	575	1991	1991	IT		VOLTERRA		161640-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161680-99999_fig2.png	161680	99999	3	GsEv	93970	19.4	58.3	32	[	2026	87	63	]	7	13	20	29	38	[	0	0	]	30	361	[	14	238	0	66	31	9	3	]	36	14	42.383	11.167	632	1990	2020	IT		MOUNT ARGENTARIO		161680-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161700-99999_fig2.png	161700	99999	3	GsAc	100872	19.4	55.6	34	[	1681	163	210	]	9	16	29	37	44	[	14	0	]	34	364	[	13	209	0	75	44	4	19	]	65	43	43.81	11.205	44	1987	2020	IT		FIRENZE		161700-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161710-99999_fig2.png	161710	99999	3	HpAc	101201	19.4	55.4	11	[	901	96	352	]	1	6	13	19	23	[	20	2	]	9	200	[	8	117	0	30	31	0	14	]	38	41	43.783	11.217	18	2006	2020	IT		FIRENZE		161710-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161720-99999_fig2.png	161720	99999	3	GsEv	98369	19.4	56.5	28	[	1555	96	53	]	6	12	23	30	34	[	3	0	]	28	279	[	20	165	0	55	27	5	7	]	38	15	43.467	11.85	249	1987	2020	IT		AREZZO		161720-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161780-99999_fig2.png	161780	99999	3	GsVt	94933	19.4	57.9	5	[	1069	47	0	]	5	0	10	13	13	[	0	0	]	4	173	[	18	105	0	29	14	7	0	]	20	1	43.517	12.717	574	2007	2008	IT		FRONTONE		161780-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161790-99999_fig2.png	161790	99999	4	GsEv	94618	19.4	58	33	[	2095	116	24	]	13	17	28	35	41	[	0	0	]	31	346	[	35	205	0	63	27	12	4	]	43	9	43.517	12.733	574	1987	2020	IT		FRONTONE		161790-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161810-99999_fig2.png	161810	99999	3	GsEv	98890	19.4	56.3	34	[	1935	146	51	]	11	16	31	38	43	[	2	0	]	34	363	[	27	206	0	74	34	12	10	]	55	18	43.096	12.513	211	1987	2020	IT		PERUGIA		161810-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161820-99999_fig2.png	161820	99999	3	HpVt	99164	19.4	56.2	4	[	962	39	0	]	6	0	11	13	14	[	0	0	]	3	177	[	6	114	0	34	22	1	0	]	23	1	43.1	12.5	205	2006	2008	IT		PERUGIA S. EGIDIO		161820-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161900-99999_fig2.png	161900	99999	3	HpVt	99720	19.4	56	10	[	224	17	42	]	1	3	4	4	6	[	0	0	]	28	50	[	2	29	0	9	8	0	2	]	8	8	43.617	13.533	142	2008	2019	IT		ANCONA		161900-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161910-99999_fig2.png	161910	99999	3	GsEv	101200	19.4	55.4	31	[	1863	90	274	]	5	13	24	31	41	[	4	0	]	31	364	[	26	208	0	71	49	1	10	]	45	51	43.616	13.362	15	1987	2020	IT		FALCONARA		161910-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161920-99999_fig2.png	161920	99999	3	HpVt	99363	19.4	56.1	4	[	593	48	42	]	2	3	4	5	8	[	1	0	]	6	132	[	1	90	0	13	24	0	4	]	19	34	43.433	13.583	197	2006	2017	IT		LORETO		161920-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/161970-99999_fig2.png	161970	99999	3	HpVt	96646	19.4	57.2	28	[	1382	74	253	]	6	12	19	24	33	[	2	0	]	24	312	[	4	197	0	60	42	2	7	]	38	39	42.733	10.4	397	1990	2020	IT		MONTE CALAMITA		161970-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162040-99999_fig2.png	162040	99999	3	Gs__	90772	19.4	59.7	25	[	555	9	15	]	3	5	6	8	9	[	0	0	]	8	81	[	11	48	0	14	8	0	0	]	7	4	42.9	11.767	918	1990	1991	IT		RADICOFANI		162040-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162060-99999_fig2.png	162060	99999	3	HpEv	101240	19.4	55.4	34	[	1654	101	283	]	1	11	23	33	42	[	11	0	]	34	364	[	8	220	0	71	53	2	10	]	53	49	42.76	11.072	5	1987	2020	IT		GROSSETO		162060-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162140-99999_fig2.png	162140	99999	3	HpAc	101494	19.4	55.3	24	[	578	84	498	]	3	8	12	15	22	[	5	0	]	23	208	[	0	110	0	39	48	0	10	]	43	56	42.017	11.817	4	1991	2020	IT		CIVITAVECCHIA		162140-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162150-99999_fig2.png	162150	99999	3	HpAc	101277	19.4	55.4	15	[	946	159	929	]	6	13	20	24	36	[	10	0	]	14	345	[	1	181	0	64	76	0	23	]	75	94	42.02	11.82	4	2006	2020	IT		CIVITAVECCHIA		162150-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162160-99999_fig2.png	162160	99999	3	GsAc	97752	19.4	56.7	34	[	1748	184	173	]	5	14	29	36	43	[	6	0	]	34	357	[	13	211	0	71	35	8	19	]	59	35	42.43	12.064	302	1987	2020	IT		VITERBO		162160-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162170-99999_fig2.png	162170	99999	3	HpVt	100427	19.4	55.7	2	[	942	14	0	]	0	0	0	0	0	[	0	0	]	2	170	[	0	130	0	8	32	0	0	]	12	42	42.483	12.333	75	2007	2008	IT		ORTE		162170-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162180-99999_fig2.png	162180	99999	3	Gs__	97656	19.4	56.8	9	[	1424	6	3	]	3	2	12	18	19	[	0	0	]	9	198	[	16	138	0	38	6	0	0	]	6	2	42.433	12.05	310	2006	2017	IT		VITERBO		162180-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162190-99999_fig2.png	162190	99999	5	Gs__	80743	19.4	64.8	26	[	3811	0	0	]	0	0	0	0	0	[	0	0	]	28	300	[	116	175	0	9	0	0	0	]	0	0	42.467	12.983	1875	1987	2020	IT		TERMINILLO MOUNTAIN		162190-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162210-99999_fig2.png	162210	99999	3	GsAc	96738	19.4	57.1	24	[	1657	278	90	]	15	27	34	38	44	[	1	0	]	22	357	[	16	196	0	69	36	19	21	]	76	31	42.417	12.85	389	1987	2020	IT		RIETI		162210-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162240-99999_fig2.png	162240	99999	3	HpVt	98123	19.4	56.6	24	[	1234	75	143	]	5	11	18	24	31	[	2	0	]	24	272	[	5	169	0	52	38	3	5	]	37	32	42.083	12.217	270	1991	2020	IT		VIGNA DI VALLE(MIL)		162240-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162260-99999_fig2.png	162260	99999	4	GsVt	93684	19.4	58.4	3	[	2698	14	0	]	0	NaN	NaN	NaN	NaN	[	0	0	]	2	354	[	16	266	0	60	11	1	0	]	13	0	42.367	13.317	669	2006	2007	IT		L'AQUILA		162260-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162270-99999_fig2.png	162270	99999	3	GsVt	93957	19.4	58.3	10	[	1616	5	20	]	0	3	7	10	11	[	0	0	]	11	219	[	14	156	0	38	11	0	0	]	5	9	41.983	13.6	650	1989	2018	IT		FUCINO		162270-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162283-99999_fig2.png	162283	99999	4	GsVt	78143	19.4	66.4	4	[	2588	28	1	]	2	NaN	26	35	37	[	0	0	]	2	334	[	63	177	0	70	22	2	0	]	23	2	42.45	13.7	2138	1991	1993	IT		GRAN SASSO MTN RNG		162283-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162300-99999_fig2.png	162300	99999	3	GsAc	101190	19.4	55.4	34	[	1716	99	299	]	3	12	24	33	41	[	7	0	]	34	363	[	13	215	0	74	50	0	11	]	50	53	42.432	14.181	15	1987	2020	IT		PESCARA		162300-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162310-99999_fig2.png	162310	99999	3	GsVt	91846	19.4	59.2	14	[	1725	52	60	]	9	12	19	26	30	[	1	0	]	12	294	[	26	188	0	52	22	2	4	]	26	13	41.7	15.95	844	2006	2020	IT		MONTE S. ANGELO		162310-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162320-99999_fig2.png	162320	99999	3	HpAc	100800	19.4	55.6	27	[	961	190	818	]	4	13	17	22	33	[	17	1	]	27	289	[	2	154	0	50	51	1	31	]	65	78	42	15	44	1989	2020	IT		TERMOLI		162320-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162330-99999_fig2.png	162330	99999	3	HpVt	100661	19.4	55.6	5	[	571	31	27	]	3	5	10	13	14	[	2	0	]	3	122	[	1	82	0	20	18	0	1	]	19	8	42	12.733	90	2008	2008	IT		GUIDONIA		162330-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162340-99999_fig2.png	162340	99999	3	HpAc	100271	19.4	55.8	34	[	1370	272	303	]	6	17	30	36	44	[	13	0	]	21	357	[	4	195	0	72	45	7	34	]	81	58	41.99	12.741	88	1987	2010	IT		GUIDONIA		162340-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162350-99999_fig2.png	162350	99999	3	HpAc	101040	19.4	55.5	34	[	1232	301	433	]	3	16	29	35	44	[	15	1	]	34	352	[	3	187	0	70	45	6	41	]	87	68	41.952	12.499	17	1987	2020	IT		URBE		162350-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162380-99999_fig2.png	162380	99999	3	HpAc	100922	19.4	55.5	5	[	738	72	211	]	1	7	12	16	21	[	11	0	]	4	177	[	3	106	0	29	27	1	11	]	28	35	41.867	12.567	53	2006	2007	IT		ROMA/CENTOCELLE		162380-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162390-99999_fig2.png	162390	99999	3	HpAc	100066	19.4	55.9	34	[	1592	121	264	]	6	14	25	34	43	[	7	0	]	34	364	[	9	214	0	73	54	2	12	]	57	53	41.799	12.595	130	1987	2020	IT		CIAMPINO		162390-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162400-99999_fig2.png	162400	99999	3	HpVt	100536	19.4	55.7	1	[	272	17	0	]	0	0	0	0	0	[	0	0	]	7	71	[	0	46	0	5	20	0	0	]	11	28	41.9	12.483	95	1990	1991	IT		ROME		162400-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162420-99999_fig2.png	162420	99999	3	HpVt	101290	19.4	55.4	34	[	1466	74	428	]	2	11	21	30	39	[	7	0	]	34	364	[	3	216	0	73	66	0	6	]	49	66	41.804	12.251	5	1987	2020	IT		FIUMICINO		162420-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162430-99999_fig2.png	162430	99999	3	HpAc	101010	19.4	55.5	34	[	1333	206	622	]	1	10	24	31	41	[	16	1	]	29	360	[	5	198	0	66	62	1	28	]	72	82	41.542	12.909	28	1987	2015	IT		LATINA		162430-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162440-99999_fig2.png	162440	99999	3	GsAc	99169	19.4	56.2	34	[	1625	193	259	]	3	14	29	36	43	[	10	0	]	29	353	[	11	201	0	70	43	3	25	]	66	52	41.633	13.3	181	1987	2015	IT		FROSINONE (IT-AFB)		162440-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162450-99999_fig2.png	162450	99999	3	HpAc	101070	19.4	55.5	34	[	1323	91	657	]	1	10	19	26	38	[	6	0	]	34	360	[	2	210	0	61	77	0	10	]	56	84	41.659	12.445	12	1987	2020	IT		PRATICA DI MARE		162450-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162460-99999_fig2.png	162460	99999	3	GsVt	99419	19.4	56.1	4	[	1939	80	146	]	9	14	26	37	43	[	6	0	]	2	361	[	23	223	0	61	50	0	4	]	50	40	41.633	13.3	186	2006	2008	IT		FROSINONE		162460-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162470-99999_fig2.png	162470	99999	3	HpVt	101295	19.4	55.4	8	[	570	36	111	]	1	4	9	13	16	[	6	0	]	8	136	[	1	86	0	27	19	0	3	]	19	19	41.55	12.9	26	2006	2008	IT		LATINA		162470-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162490-99999_fig2.png	162490	99999	3	Hp__	101571	19.4	55.3	8	[	91	7	48	]	0	1	2	2	3	[	1	0	]	24	28	[	0	17	0	5	5	0	1	]	4	6	41.217	13.05	3	2006	2007	IT		CAPE CIRCEO		162490-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162520-99999_fig2.png	162520	99999	4	GsVt	92000	19.4	59.1	33	[	2304	60	20	]	11	16	27	35	39	[	0	0	]	34	350	[	45	210	0	65	23	5	2	]	29	7	41.567	14.65	807	1987	2020	IT		CAMPOBASSO		162520-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162530-99999_fig2.png	162530	99999	3	HpAc	101200	19.4	55.4	34	[	1534	96	619	]	1	8	20	30	39	[	21	1	]	31	360	[	7	213	0	61	68	0	11	]	55	76	41.061	14.082	9	1987	2020	IT		GRAZZANISE		162530-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162580-99999_fig2.png	162580	99999	3	GsVt	91807	19.4	59.2	26	[	1807	31	1	]	4	4	12	15	16	[	0	0	]	27	262	[	37	162	0	46	14	3	0	]	17	1	41.7	15.95	848	1989	2020	IT		MONTE S. ANGELO		162580-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162591-99999_fig2.png	162591	99999	3	GsAc	100737	19.4	55.6	14	[	2059	209	259	]	8	17	30	35	43	[	6	0	]	14	362	[	54	166	0	66	45	5	27	]	72	48	44.824	10.296	49	2005	2020	IT		PARMA		162591-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162592-99999_fig2.png	162592	99999	4	GsVt	96771	19.4	57.1	16	[	2431	62	146	]	4	12	25	32	38	[	1	0	]	16	363	[	61	184	0	72	40	1	5	]	37	34	44.547	7.623	386	2005	2020	IT		LEVALDIGI		162592-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162593-99999_fig2.png	162593	99999	4	GsAc	100028	19.4	55.9	16	[	2129	146	156	]	13	21	30	36	41	[	3	0	]	16	361	[	52	175	0	72	43	3	16	]	60	37	45.429	10.331	108	2005	2020	IT		MONTICHIARI		162593-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162600-99999_fig2.png	162600	99999	3	HpAc	100356	19.4	55.7	13	[	404	196	74	]	5	10	13	14	18	[	2	0	]	33	132	[	2	64	0	26	12	11	16	]	39	20	41.433	15.533	81	2009	2020	IT		GINA LISA		162600-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162610-99999_fig2.png	162610	99999	3	GsAc	100610	19.4	55.7	34	[	1599	191	314	]	3	15	27	36	45	[	22	1	]	25	362	[	13	205	0	68	49	2	25	]	68	59	41.541	15.718	56	1987	2020	IT		AMENDOLA		162610-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162630-99999_fig2.png	162630	99999	4	Gs__	88870	19.4	60.6	30	[	2693	13	1	]	4	13	20	24	26	[	0	0	]	26	325	[	75	192	0	51	6	1	0	]	8	0	41.05	15.233	1093	1990	2020	IT		TREVICO		162630-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162640-99999_fig2.png	162640	99999	3	HpVt	95301	19.4	57.7	3	[	583	40	290	]	0	5	10	14	19	[	3	0	]	2	155	[	2	90	0	25	33	0	5	]	21	37	41.133	15.517	514	1989	1989	IT		MARINA DI GINOSA		162640-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162660-99999_fig2.png	162660	99999	3	HpVt	101489	19.4	55.3	10	[	149	24	107	]	0	2	3	4	5	[	2	0	]	28	49	[	0	27	0	8	10	0	3	]	10	13	41.883	16.167	4	2006	2020	IT		VIESTE		162660-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162700-99999_fig2.png	162700	99999	3	HpAc	100740	19.4	55.6	32	[	1475	139	265	]	6	15	26	34	44	[	8	0	]	32	364	[	4	214	0	74	53	4	15	]	61	53	41.133	16.767	54	1987	2020	IT		BARI		162700-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162710-99999_fig2.png	162710	99999	3	HpAc	101262	19.4	55.4	9	[	388	124	339	]	5	11	14	16	23	[	4	0	]	13	178	[	0	84	0	41	34	1	17	]	47	46	41.117	16.883	11	2006	2020	IT		BARI		162710-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162800-99999_fig2.png	162800	99999	3	HpAc	99121	19.4	56.2	33	[	1139	95	922	]	4	12	18	23	34	[	10	0	]	33	362	[	0	208	0	58	78	0	18	]	57	93	40.917	12.95	185	1987	2020	IT		PONZA ISLAND		162800-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162810-99999_fig2.png	162810	99999	3	____	99389	19.4	56.1	2	[	1053	72	NaN	]	NaN	NaN	NaN	NaN	NaN	[	NaN	NaN	]	1	353	[	NaN	219	NaN	29	105	NaN	NaN	]	46	119	40.917	12.95	185	2006	2006	IT		PONZA		162810-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162880-99999_fig2.png	162880	99999	3	HpVt	100755	19.4	55.6	10	[	427	52	85	]	3	6	10	13	16	[	2	0	]	8	128	[	0	69	0	32	22	1	4	]	25	18	41.067	14.317	62	2007	2018	IT		CASERTA		162880-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162920-99999_fig2.png	162920	99999	3	HpVt	101183	19.4	55.4	5	[	155	14	35	]	1	2	3	5	6	[	0	0	]	21	51	[	0	28	0	11	11	1	0	]	8	9	40.617	14.917	39	2006	2008	IT		PONTECAGNANO		162920-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162923-99999_fig2.png	162923	99999	3	HpAc	100875	19.4	55.6	13	[	384	154	298	]	5	10	12	13	20	[	1	0	]	26	167	[	0	79	0	38	25	4	21	]	49	39	40.62	14.911	38	2009	2020	IT		PONTECAGNANO		162923-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/162940-99999_fig2.png	162940	99999	3	HpAc	98135	19.4	56.6	25	[	722	155	643	]	5	10	16	21	29	[	20	1	]	29	257	[	1	136	0	45	52	1	22	]	63	67	40.55	14.25	269	1990	2020	IT		CAPRI ISLAND		162940-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163000-99999_fig2.png	163000	99999	4	GsVt	91904	19.4	59.2	21	[	2330	66	5	]	14	22	29	36	38	[	0	0	]	11	352	[	44	209	0	70	22	6	1	]	30	4	40.633	15.8	843	1987	1998	IT		POTENZA		163000-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163100-99999_fig2.png	163100	99999	3	HpAc	99120	19.4	56.2	34	[	1114	142	880	]	3	11	19	25	38	[	15	0	]	34	358	[	1	199	0	65	70	2	22	]	69	85	40.017	15.283	185	1987	2020	IT		CAPE PALINURO		163100-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163120-99999_fig2.png	163120	99999	3	GsEv	97190	19.4	57	33	[	1846	88	107	]	5	14	25	34	42	[	5	0	]	34	352	[	22	211	0	70	38	4	7	]	43	28	40.768	16.933	362	1987	2020	IT		GIOIA DEL COLLE		163120-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163140-99999_fig2.png	163140	99999	3	HpVt	96037	19.4	57.4	10	[	827	57	24	]	3	5	11	16	20	[	0	0	]	9	162	[	8	101	0	28	18	5	2	]	23	9	40.65	16.7	498	2016	2020	IT		MATERA		163140-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163160-99999_fig2.png	163160	99999	3	GsVt	91476	19.4	59.4	23	[	1285	23	5	]	8	8	16	19	21	[	0	0	]	26	209	[	20	130	0	45	12	2	0	]	13	2	40.083	16.017	896	1989	2020	IT		LATRONICO		163160-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163170-99999_fig2.png	163170	99999	4	GsVt	91014	19.4	59.6	15	[	2137	53	7	]	13	20	29	33	36	[	0	0	]	14	353	[	30	224	0	72	21	5	1	]	28	4	40.083	16.017	896	2006	2020	IT		LATRONICO		163170-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163180-99999_fig2.png	163180	99999	3	Hp__	96233	19.4	57.3	8	[	223	15	16	]	0	2	4	5	6	[	1	0	]	28	49	[	2	30	0	9	6	1	1	]	6	5	40.633	17.217	414	2006	2018	IT		MARTINA FRANCA		163180-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163200-99999_fig2.png	163200	99999	3	HpAc	101234	19.4	55.4	34	[	1168	160	882	]	3	13	20	27	41	[	17	1	]	34	364	[	1	203	0	62	76	0	22	]	75	95	40.658	17.947	14	1987	2020	IT		CASALE		163200-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163240-99999_fig2.png	163240	99999	3	HpAc	100541	19.4	55.7	34	[	1021	501	327	]	9	24	32	36	48	[	8	0	]	34	358	[	2	177	0	68	42	22	47	]	107	65	40.518	17.403	66	1987	2020	IT		GROTTAGLIE		163240-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163250-99999_fig2.png	163250	99999	3	HpAc	101180	19.4	55.4	33	[	1302	225	854	]	2	11	22	29	43	[	27	3	]	31	362	[	4	202	0	58	65	1	32	]	77	90	40.433	16.883	12	1987	2020	IT		MARINA DI GINOSA		163250-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163320-99999_fig2.png	163320	99999	3	HpAc	100590	19.4	55.7	34	[	1210	312	604	]	1	13	26	33	45	[	22	1	]	34	354	[	3	191	0	59	53	8	40	]	87	80	40.239	18.133	48	1987	2020	IT		LECCE		163320-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163330-99999_fig2.png	163330	99999	3	HpAc	101008	19.4	55.5	9	[	646	101	285	]	1	7	12	17	22	[	17	1	]	8	174	[	3	100	0	28	29	0	14	]	37	40	40.233	18.133	48	2006	2017	IT		LECCE		163330-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163340-99999_fig2.png	163340	99999	3	HpVt	100487	19.4	55.7	11	[	205	25	322	]	1	1	3	4	6	[	7	0	]	29	71	[	0	40	0	7	15	0	9	]	15	23	40.1	18.483	80	2006	2020	IT		OTRANTO		163340-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163370-99999_fig2.png	163370	99999	3	HpVt	95633	19.4	57.6	25	[	950	74	387	]	3	8	14	18	28	[	2	0	]	21	246	[	3	139	0	46	49	2	7	]	40	51	39.583	15.883	485	1989	2020	IT		BONIFATI (CAPE)		163370-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163440-99999_fig2.png	163440	99999	5	Gs__	83172	19.4	63.4	31	[	3556	0	0	]	0	0	0	0	0	[	0	0	]	31	336	[	112	202	1	21	0	0	0	]	0	0	39.333	16.4	1677	1989	2020	IT		MONTE SCURO		163440-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163445-99999_fig2.png	163445	99999	5	Gs__	82298	19.4	63.9	15	[	3715	0	0	]	0	NaN	NaN	NaN	NaN	[	0	0	]	14	362	[	114	221	0	26	1	0	0	]	1	0	39.333	16.4	1720	2006	2020	IT		SCURO MOUNTAIN		163445-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163450-99999_fig2.png	163450	99999	3	Gs__	83248	19.4	63.4	4	[	1807	2	0	]	0	0	0	0	0	[	0	0	]	4	182	[	57	102	1	20	2	0	0	]	2	0	39.333	16.4	1677	2007	2008	IT		MONTE SCURO		163450-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163500-99999_fig2.png	163500	99999	3	HpAc	99410	19.4	56.1	34	[	1120	313	242	]	7	19	29	34	46	[	3	0	]	33	360	[	1	193	0	72	47	16	31	]	89	54	38.997	17.08	159	1987	2020	IT		CROTONE		163500-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163510-99999_fig2.png	163510	99999	3	HpVt	99754	19.4	56	3	[	265	32	36	]	0	3	5	7	9	[	1	0	]	5	71	[	2	41	0	14	9	2	3	]	12	10	39	17.083	155	2006	2006	IT		CROTONE		163510-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163600-99999_fig2.png	163600	99999	3	HpAc	99990	19.4	55.9	34	[	1158	162	671	]	6	15	21	27	41	[	8	0	]	34	360	[	2	201	0	66	67	2	22	]	70	81	39.817	18.35	112	1987	2020	IT		SANTA MARIA DI LEUC		163600-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163620-99999_fig2.png	163620	99999	3	HpAc	101141	19.4	55.5	34	[	1202	87	732	]	1	10	19	27	40	[	12	0	]	34	363	[	1	209	0	64	78	0	11	]	56	87	38.905	16.242	12	1987	2020	IT		LAMEZIA TERME		163620-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163640-99999_fig2.png	163640	99999	3	Hp__	90267	19.4	59.9	10	[	366	1	1	]	1	0	2	4	4	[	0	0	]	25	51	[	6	36	0	7	2	0	0	]	1	2	38.75	16.367	997	2006	2020	IT		SERRALTA DI S. VITO		163640-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/163650-99999_fig2.png	163650	99999	3	HpVt	97749	19.4	56.7	5	[	820	33	4	]	7	8	10	11	13	[	0	0	]	6	204	[	0	136	0	50	15	2	0	]	18	4	38.9	16.6	358	2007	2020	IT		CATANZARO		163650-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164000-99999_fig2.png	164000	99999	3	HpAc	98350	19.4	56.5	34	[	922	195	1098	]	2	12	20	25	38	[	18	1	]	29	357	[	0	189	0	59	75	2	32	]	81	102	38.7	13.183	251	1987	2020	IT		USTICA ISLAND		164000-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164010-99999_fig2.png	164010	99999	3	HpVt	98849	19.4	56.3	4	[	437	46	186	]	2	8	11	15	22	[	1	0	]	6	163	[	0	89	0	39	31	1	3	]	29	30	38.7	13.183	243	2006	2008	IT		USTICA		164010-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164050-99999_fig2.png	164050	99999	3	HpAc	101089	19.4	55.5	33	[	770	208	886	]	6	15	22	28	43	[	15	1	]	33	364	[	0	179	0	78	79	1	27	]	89	100	38.176	13.091	20	1987	2020	IT		PALERMO		164050-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164090-99999_fig2.png	164090	99999	3	HpVt	100379	19.4	55.7	5	[	118	30	15	]	3	3	4	5	6	[	0	0	]	7	46	[	0	24	0	11	7	2	2	]	11	6	38.117	13.317	123	2008	2008	IT		PALERMO BOCCADIFALCO		164090-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164100-99999_fig2.png	164100	99999	3	HpAc	100068	19.4	55.9	19	[	627	285	370	]	8	16	23	26	37	[	5	0	]	21	294	[	0	134	0	70	47	8	34	]	86	62	38.111	13.313	105	1992	2008	IT		BOCCADIFALCO		164100-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164150-99999_fig2.png	164150	99999	3	HpVt	100879	19.4	55.6	12	[	225	60	182	]	0	3	4	6	8	[	2	0	]	18	103	[	0	55	0	20	24	0	3	]	25	28	38.567	14.85	46	1991	2018	IT		ISOLA SALINA		164150-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164160-99999_fig2.png	164160	99999	3	Hp__	100772	19.4	55.6	11	[	66	13	77	]	1	1	2	2	3	[	2	0	]	25	27	[	0	16	0	5	4	0	2	]	6	6	38.8	15.233	5	2006	2020	IT		ISOLA STROMBOLI		164160-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164200-99999_fig2.png	164200	99999	3	HpAc	100710	19.4	55.6	34	[	773	264	1171	]	5	16	21	27	41	[	29	2	]	34	362	[	0	177	0	70	71	1	43	]	95	110	38.2	15.55	51	1987	2020	IT		MESSINA		164200-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164220-99999_fig2.png	164220	99999	3	HpAc	101120	19.4	55.5	34	[	766	307	791	]	5	18	25	31	44	[	20	2	]	34	357	[	0	172	0	73	63	3	46	]	99	97	38.071	15.652	29	1987	2020	IT		REGGIO CALABRIA		164220-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164290-99999_fig2.png	164290	99999	3	HpAc	101160	19.4	55.5	34	[	945	168	961	]	0	11	20	27	43	[	22	1	]	34	364	[	0	193	0	62	84	2	23	]	80	103	37.911	12.488	7	1987	2020	IT		TRAPANI BIRGI		164290-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164340-99999_fig2.png	164340	99999	3	GsVt	89507	19.4	60.3	25	[	1242	62	1	]	4	0	13	16	17	[	0	0	]	19	214	[	23	122	0	43	18	8	0	]	27	1	37.717	13.433	1035	1989	2017	IT		PRIZZI		164340-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164350-99999_fig2.png	164350	99999	3	GsVt	89941	19.4	60	3	[	1340	47	0	]	0	0	0	0	0	[	0	0	]	3	211	[	12	142	0	43	12	2	0	]	17	1	37.717	13.433	1035	2006	2008	IT		PRIZZI		164350-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164360-99999_fig2.png	164360	99999	3	HpVt	101069	19.4	55.5	11	[	146	23	45	]	1	2	4	5	8	[	0	0	]	28	59	[	0	30	0	14	13	2	1	]	12	9	37.517	13.083	125	2006	2019	IT		SCIACCA		164360-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164420-99999_fig2.png	164420	99999	3	Hp__	90351	19.4	59.9	10	[	575	27	0	]	2	0	3	5	5	[	0	0	]	6	103	[	8	65	0	21	5	4	0	]	9	0	37.983	14.017	998	2006	2017	IT		GIBILMANNA		164420-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164500-99999_fig2.png	164500	99999	3	GsEv	90257	19.4	59.9	24	[	1497	80	49	]	3	9	16	21	25	[	1	0	]	28	264	[	21	158	1	50	24	7	3	]	33	9	37.567	14.283	965	1989	2020	IT		ENNA		164500-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164530-99999_fig2.png	164530	99999	3	HpAc	100550	19.4	55.7	34	[	719	186	1019	]	5	14	20	25	39	[	10	1	]	32	354	[	0	170	0	71	83	1	28	]	82	108	37.083	14.217	33	1987	2020	IT		GELA		164530-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164540-99999_fig2.png	164540	99999	3	HpAc	100947	19.4	55.5	5	[	455	105	492	]	2	9	13	16	24	[	7	0	]	5	211	[	0	104	0	46	45	1	15	]	47	56	37.083	14.217	65	2006	2008	IT		GELA		164540-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164590-99999_fig2.png	164590	99999	3	HpAc	101061	19.4	55.5	34	[	1153	228	630	]	1	11	24	34	46	[	37	3	]	34	364	[	0	199	0	61	71	3	30	]	86	89	37.4	14.917	22	1987	2020	IT		CATANIA/SIGONELLA		164590-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164594-33126_fig2.png	164594	33126	3	HpAc	100950	19.4	55.5	17	[	1164	207	287	]	4	15	27	37	47	[	22	1	]	16	357	[	1	198	0	70	61	4	23	]	80	65	37.4	14.917	31	1987	2003	IT		SIGONELLA		164594-33126_fig2.png
https://bioclimatic.github.io/predilection/psych/164600-99999_fig2.png	164600	99999	3	HpAc	101120	19.4	55.5	34	[	1120	173	532	]	4	12	24	33	44	[	20	1	]	34	364	[	0	198	0	72	73	2	19	]	79	79	37.467	15.066	12	1987	2020	IT		CATANIA FONTANAROSSA		164600-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164640-99999_fig2.png	164640	99999	3	HpVt	101654	19.4	55.3	11	[	662	58	278	]	2	6	10	13	19	[	5	0	]	8	182	[	0	111	0	35	29	0	7	]	27	35	37.05	15.279	2	2006	2016	IT		SIRACUSA		164640-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164650-99999_fig2.png	164650	99999	3	HpVt	94222	19.4	58.2	7	[	349	62	5	]	2	3	9	11	13	[	0	0	]	7	93	[	1	55	0	18	11	7	1	]	19	2	36.967	14.95	639	2007	2008	IT		MEZZO GREGORIO		164650-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164690-99999_fig2.png	164690	99999	3	Hp__	100130	19.4	55.8	10	[	52	20	69	]	0	1	2	2	3	[	1	0	]	26	28	[	0	12	0	6	6	0	3	]	7	9	37.933	16.05	118	2007	2016	IT		CAPO SPARTIVENTO		164690-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164700-99999_fig2.png	164700	99999	3	HpAc	99300	19.4	56.1	34	[	795	238	948	]	2	14	20	25	45	[	13	1	]	34	362	[	0	180	0	66	79	6	30	]	86	101	36.817	11.969	194	1987	2020	IT		PANTELLERIA		164700-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164710-99999_fig2.png	164710	99999	3	HpEv	99417	19.4	56.1	3	[	1166	122	439	]	2	12	18	26	46	[	6	0	]	2	357	[	0	213	0	64	65	6	9	]	42	67	36.817	11.967	185	2006	2008	IT		PANTELLERIA		164710-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164750-99999_fig2.png	164750	99999	3	HpAc	98828	19.4	56.3	9	[	531	170	95	]	5	10	16	19	24	[	2	0	]	13	194	[	0	97	0	40	31	13	13	]	54	26	36.983	14.617	210	2014	2020	IT		COMISO		164750-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164800-99999_fig2.png	164800	99999	3	HpAc	100710	19.4	55.6	34	[	743	242	1179	]	4	14	21	26	41	[	22	0	]	34	360	[	0	177	0	62	81	1	38	]	93	116	36.683	15.133	51	1987	2020	IT		COZZO SPADARO		164800-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164900-99999_fig2.png	164900	99999	2	HpAc	101081	19.4	55.5	29	[	494	267	1653	]	4	14	19	23	34	[	26	1	]	29	360	[	0	156	0	66	89	0	48	]	108	136	35.498	12.618	21	1987	2020	IT		LAMPEDUSA		164900-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/164910-99999_fig2.png	164910	99999	3	HpVt	101178	19.4	55.4	3	[	162	209	0	]	0	0	0	0	0	[	0	0	]	2	157	[	0	81	0	36	40	0	0	]	55	70	35.5	12.6	50	2006	2007	IT		LAMPEDUSA		164910-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165060-99999_fig2.png	165060	99999	3	HpVt	99393	19.4	56.1	12	[	879	62	231	]	4	12	18	22	30	[	1	0	]	13	270	[	0	162	0	59	43	1	5	]	37	41	41.217	9.4	170	1987	1996	IT		GUARDIAVECCHIA		165060-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165200-99999_fig2.png	165200	99999	3	HpEv	100854	19.4	55.6	32	[	1298	91	326	]	2	12	23	33	43	[	14	0	]	32	364	[	3	216	0	77	58	1	9	]	49	61	40.632	8.291	26	1987	2020	IT		ALGHERO		165200-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165220-99999_fig2.png	165220	99999	3	HpEv	98900	19.4	56.3	32	[	1065	80	420	]	6	13	19	25	39	[	5	0	]	33	338	[	1	197	0	69	60	2	9	]	41	64	40.567	8.167	205	1990	2020	IT		CAPE CACCIA		165220-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165240-99999_fig2.png	165240	99999	3	Hp__	94780	19.4	57.9	2	[	81	7	0	]	0	0	0	0	0	[	0	0	]	19	18	[	0	12	1	3	1	1	0	]	2	0	40.267	8.767	586	2006	2006	IT		MACOMER SA' CRABARZA		165240-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165310-99999_fig2.png	165310	99999	3	HpAc	101263	19.4	55.4	32	[	1309	134	289	]	2	13	25	34	44	[	11	0	]	32	364	[	2	214	0	72	59	3	14	]	63	56	40.899	9.518	11	1987	2020	IT		OLBIA COSTA SMERALDA		165310-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165320-99999_fig2.png	165320	99999	4	Gs__	85987	19.4	62	5	[	2091	2	0	]	0	0	0	0	0	[	0	0	]	5	218	[	66	123	0	26	3	0	0	]	3	0	40.85	9.167	1363	2006	2008	IT		MONTE LIMBARA		165320-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165390-99999_fig2.png	165390	99999	3	HpAc	100190	19.4	55.8	34	[	1010	115	1007	]	2	10	17	23	40	[	15	1	]	25	342	[	1	190	0	50	77	0	24	]	59	100	39.75	8.467	92	1987	2020	IT		CAPE FRASCA		165390-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165430-99999_fig2.png	165430	99999	3	HpEv	101605	19.4	55.3	2	[	906	154	9	]	9	23	28	33	38	[	0	0	]	2	362	[	0	198	15	75	59	15	0	]	75	2	39.5	9.633	3	2006	2007	IT		CAPO S. LORENZO		165430-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165450-99999_fig2.png	165450	99999	3	HpVt	94556	19.4	58	5	[	1148	48	10	]	4	9	15	21	25	[	0	0	]	5	217	[	9	144	0	42	16	6	0	]	22	5	39.667	9.45	609	2006	2008	IT		PERDASDEFOGU		165450-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165460-99999_fig2.png	165460	99999	3	HpAc	100990	19.4	55.5	34	[	1158	227	455	]	2	13	26	34	44	[	23	2	]	33	359	[	2	196	0	71	56	6	28	]	83	65	39.354	8.972	30	1987	2020	IT		DECIMOMANNU		165460-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165490-99999_fig2.png	165490	99999	3	HpVt	101607	19.4	55.3	9	[	526	68	81	]	1	2	3	5	6	[	2	0	]	8	211	[	0	131	0	38	39	1	2	]	40	47	39.133	8.3	12	1989	2006	IT		CARLOFORTE		165490-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165500-99999_fig2.png	165500	99999	3	HpAc	99540	19.4	56	34	[	1062	155	682	]	4	13	21	29	40	[	20	1	]	34	360	[	1	200	0	71	67	1	20	]	71	77	39.933	9.717	156	1987	2020	IT		CAPE BELLAVISTA		165500-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165600-99999_fig2.png	165600	99999	3	HpAc	101270	19.4	55.4	34	[	1171	146	509	]	3	13	23	32	43	[	17	1	]	34	364	[	2	201	0	75	68	1	17	]	71	74	39.251	9.054	4	1987	2020	IT		ELMAS		165600-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/165640-99999_fig2.png	165640	99999	3	HpAc	99915	19.4	55.9	31	[	796	205	1055	]	4	13	19	26	36	[	28	1	]	22	340	[	0	174	0	66	67	0	33	]	81	96	39.1	9.517	118	1990	2020	IT		CAPE CARBONARA		165640-99999_fig2.png