Datasets:

geohai
/

chelsa_10k

lon float64 -179.91 180	lat float64 -90 83.4	snow_cover_days int64 0 365	isothermality int64 66 916	temp_seasonality int64 166 22.9k	precipitation_annual int64 0 11k	precipitation_seasonality int64 80 2.38k	frost_change_freq int64 0 365	grow_season_len int64 0 365	grow_season_first int64 0 362
-42.322402	67.223596	365	228	7,666	725	222	0	0	0
121.758275	-29.113481	0	423	5,618	252	415	0	61	16
48.806593	33.331622	114	323	10,137	929	892	138	139	102
-55.592611	5.832517	0	724	530	2,140	416	0	365	0
115.180804	30.494833	0	275	8,797	1,547	644	0	365	0
17.274977	13.335332	0	550	3,233	380	1,582	0	65	136
96.057956	80.664778	365	128	10,438	348	468	40	0	0
-98.457835	41.673071	99	288	10,672	759	559	129	224	79
25.275733	3.470871	0	702	790	1,685	457	0	365	0
59.839465	27.824981	0	360	8,148	161	1,065	0	52	8
-94.924992	56.921296	230	179	13,977	585	528	54	132	156
-123.079928	-85.989195	365	178	6,646	300	248	0	0	0
-44.180822	-4.211044	0	686	1,216	1,733	937	0	285	259
-38.00455	-85.451489	365	141	7,931	124	227	0	0	0
63.973829	58.112964	185	199	11,729	566	383	59	173	125
92.823875	-71.22096	365	227	6,800	183	200	0	0	0
130.661742	-68.447906	365	261	6,429	802	261	0	0	0
-58.359332	0.81204	0	734	805	2,259	596	0	365	0
177.772059	65.919637	264	174	12,665	640	348	40	93	179
33.788561	-5.875675	0	659	1,137	868	1,033	0	248	289
-122.279536	73.131979	285	133	13,998	278	600	39	64	185
86.618391	62.120454	234	166	13,490	827	295	50	125	162
-162.722246	65.101553	247	182	11,290	622	563	42	110	166
-11.429284	-83.112583	365	130	8,787	135	208	0	0	0
69.514133	71.831088	281	156	11,217	394	282	37	75	199
-57.575941	-85.08779	365	139	7,502	137	281	0	0	0
-63.498034	-13.976251	0	541	1,440	1,774	745	0	344	269
-127.576965	-79.810373	365	234	6,172	195	344	0	0	0
-109.254338	51.230214	157	268	11,393	327	687	79	105	107
88.826153	47.62865	197	277	13,683	455	387	89	136	125
-73.992338	51.273641	207	175	11,393	1,181	366	53	152	159
-62.179226	-84.7419	365	136	7,358	148	297	0	0	0
-119.16522	57.54629	195	246	10,887	491	597	64	167	130
-136.726906	-86.245377	365	164	6,785	240	313	0	0	0
37.75657	12.485528	0	773	1,242	745	1,171	0	204	75
-24.031887	71.233897	357	174	8,215	371	289	49	2	245
102.208334	-79.961105	365	148	10,002	31	159	0	0	0
66.760202	29.537672	0	380	8,191	252	827	87	109	82
96.582369	38.026986	337	339	8,796	673	1,006	152	14	232
81.785567	-78.05118	365	184	8,766	87	182	0	0	0
0.781537	20.186481	0	446	6,254	71	1,604	0	7	197
90.855044	46.88652	249	256	13,236	336	583	97	113	157
59.148483	63.343875	256	165	11,094	1,083	259	54	101	179
33.883487	-88.222514	365	115	9,633	92	205	0	0	0
-13.818452	-75.249369	365	252	5,658	500	197	0	0	0
44.29947	53.356976	169	208	10,561	571	266	41	197	114
65.85677	65.992893	246	149	12,570	759	310	36	110	176
101.493329	-84.032272	365	130	9,338	47	276	0	0	0
125.054949	-71.455829	365	230	7,840	201	310	0	0	0
-6.196801	14.922085	0	505	3,387	412	1,512	0	81	136
-45.640278	-3.862349	0	720	1,171	1,836	890	0	294	259
89.505881	74.60587	321	135	12,835	478	305	31	29	228
-135.122869	68.467195	251	150	14,513	427	479	40	107	168
-171.248924	-87.240362	365	158	7,025	156	240	0	0	0
51.820332	66.112132	221	176	10,292	841	378	51	126	163
-120.62456	67.396086	258	140	14,858	335	542	41	99	170
-72.985862	-47.767532	134	389	3,327	2,553	234	155	222	293
90.860662	-87.270132	365	132	10,311	70	318	0	0	0
-110.368373	23.916303	0	566	3,956	253	1,240	0	48	16
-59.922614	-4.448282	0	687	880	1,828	504	0	365	0
124.170257	60.522121	223	165	17,618	469	625	49	135	141
86.259616	47.507463	149	221	13,481	208	280	55	75	98
-67.902201	67.74564	354	128	11,371	559	592	44	0	0
-5.831871	6.292171	0	678	1,077	1,292	493	0	349	45
22.389235	53.791872	90	264	7,345	621	342	119	261	73
46.18451	-85.531703	365	126	9,727	53	160	0	0	0
-71.106426	-71.333544	365	260	4,283	1,511	381	0	0	0
65.517797	38.262051	0	327	9,865	208	864	40	103	36
-118.19197	41.418409	30	305	9,864	192	438	108	103	48
-62.103402	77.157603	365	145	9,170	352	436	0	0	0
110.547718	68.198852	257	139	17,449	452	519	37	95	169
63.97017	-89.084793	365	125	9,045	83	259	0	0	0
98.857034	19.39949	0	494	2,823	1,257	760	0	337	96
122.851504	41.346283	112	231	12,436	712	959	77	232	77
89.501235	36.000489	365	382	8,599	566	1,011	135	0	0
128.821772	-76.479754	365	153	9,698	37	189	0	0	0
26.36072	17.049707	0	484	6,448	20	2,099	0	1	228
-108.545011	60.490055	218	179	13,844	433	484	52	141	146
105.859099	30.611687	0	258	7,474	1,339	766	0	365	0
-37.802118	-84.422592	365	140	7,557	129	190	0	0	0
68.919261	57.604402	180	201	12,147	490	477	60	177	121
-73.529541	81.375047	317	103	13,189	130	574	20	44	190
44.76255	-81.861345	365	142	10,150	44	250	0	0	0
137.833767	-81.042842	365	135	8,783	35	353	0	0	0
-77.524841	79.14857	326	105	13,159	267	726	24	37	199
54.63875	34.420727	0	311	10,401	74	953	0	30	16
-72.639214	10.98939	0	783	596	1,264	639	0	354	93
43.354211	39.142943	112	261	9,124	571	504	112	192	94
130.40781	-82.483586	365	132	8,909	31	328	0	0	0
35.819736	-87.198701	365	121	9,518	68	217	0	0	0
140.819842	-87.579721	365	149	8,886	72	303	0	0	0
-29.577697	71.815278	365	180	8,417	194	243	65	0	0
12.004548	-78.142881	365	177	8,966	57	218	0	0	0
30.555159	-12.461856	0	582	1,939	959	1,206	0	235	289
-135.496874	-86.829574	365	156	7,127	180	275	0	0	0
105.015672	18.185779	0	427	3,451	1,958	766	0	361	115
1.424498	-76.695102	365	205	8,016	92	226	0	0	0
-74.541931	65.339935	273	127	12,855	508	468	38	82	192
17.390808	-28.001368	0	590	3,759	68	753	0	9	46
-108.100795	-79.940961	365	240	5,510	338	317	0	0	0

End of preview. Expand in Data Studio

This is a benchmark dataset for regression against a variety of climate variables from the following dataset: https://www.chelsa-climate.org/datasets/chelsa-trace21k-centennial-bioclim. It consists of 10k uniform-at-random sampled points on landmasses, each of which has 8 associated bioclimactic variables from the CHELSA dataset.

All values for bioclim variables are raw values; if using as a regression benchmark, we would recommend min-max normalization.

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