Datasets:

electricsheepafrica
/

africa-synth-climate-renewable-energy-potential-africa-niger

record_id string	country string	year int64	resource_type string	solar_irradiance_kwh_m2_year int64	wind_speed_avg_ms float64	hydro_potential_gw float64	geothermal_potential_mw int64	resource_quality_index float64	land_availability_ha int64	grid_connection_proximity_km float64	installed_capacity_mw int64	capacity_factor_pct float64	annual_generation_gwh int64	technology_readiness_level int64	capex_usd_per_mw int64	lcoe_usd_per_mwh float64	project_count_operational int64	project_count_pipeline int64	total_investment_million_usd int64	foreign_investment_share_pct float64	policy_support_index float64	feed_in_tariff_available int64	tax_incentives_available int64	project_viability_score float64	grid_integration_challenges string	job_creation_estimate int64
RE_000000	Niger	2,020	hydro_large	0	0	1.26	0	0.1	1,151	337.9	44	48.8	188	7	2,965,305	20	6	5	116	37.7	0.469	1	0	0.609	Low	313
RE_000001	Uganda	2,022	biomass	0	0	0	0	0.536	23,257	137.2	136	0	0	6	0	null	8	7	0	79.4	0.385	0	1	null	Moderate	560
RE_000002	DRC	2,021	wind_onshore	0	6.2	0	0	0.351	12,224	8.9	202	33.2	587	6	1,696,537	20	2	7	290	72.1	0.391	1	1	0.73	Moderate	616
RE_000003	Ghana	2,018	solar_csp	1,917	0	0	0	0.88	45,916	245.5	233	20.5	418	7	794,540	20	6	2	186	45.5	0.488	1	1	0.876	Moderate	520
RE_000004	Rwanda	2,023	hydro_small	0	0	1.5	0	0.638	9,725	58	344	53.5	1,612	7	1,734,730	20	9	6	695	75.4	0.354	0	0	0.826	Moderate	973
RE_000005	Malawi	2,024	hydro_small	0	0	4.57	0	0.615	57,734	210.6	124	52.1	565	6	2,634,584	20	6	11	376	48.5	0.323	1	1	0.732	Moderate	842
RE_000006	Uganda	2,025	wind_onshore	0	5.5	0	0	0.454	42,556	12.6	344	39.3	1,184	8	2,373,615	20	6	7	952	34.7	0.373	0	0	0.822	Moderate	867
RE_000007	South Africa	2,024	solar_pv	2,060	0	0	0	0.752	18,153	49.8	439	20.5	788	6	1,022,597	20	3	5	443	80	0.224	0	0	0.797	Moderate	1,318
RE_000008	Senegal	2,020	hydro_large	0	0	0.47	0	0.231	19,951	46.9	79	52.4	362	7	2,160,935	20	7	7	184	47.4	0.331	0	1	0.701	Low	529
RE_000009	Nigeria	2,019	wind_offshore	0	5.1	0	0	0.247	24,961	88.1	67	34.5	202	5	2,105,870	20	3	5	164	63.9	0.33	1	1	0.627	Low	441
RE_000010	South Africa	2,019	solar_pv	1,963	0	0	0	0.962	80,695	13.9	259	19.5	442	8	976,855	20	6	4	273	79	0.286	0	1	0.953	Moderate	730
RE_000011	DRC	2,024	solar_csp	2,084	0	0	0	0.76	33,393	113	279	21.6	527	7	750,127	20	9	4	235	41.1	0.324	0	1	0.838	Moderate	941
RE_000012	Kenya	2,023	solar_pv	2,008	0	0	0	1	366	33.3	383	22.2	744	10	1,027,798	20	1	5	431	83.7	0.172	1	1	0.996	Moderate	721
RE_000013	Nigeria	2,022	solar_pv	1,965	0	0	0	0.56	44,609	49.8	112	20.2	198	6	926,738	20	2	9	116	74.2	0.297	0	1	0.757	Moderate	721
RE_000014	Uganda	2,025	solar_pv	2,042	0	0	0	0.948	6,096	3.5	640	19.7	1,104	10	804,897	20	13	7	470	78.4	0.642	1	0	1	High	1,754
RE_000015	Ethiopia	2,021	wind_onshore	0	7.4	0	0	0.719	22,345	21.8	280	37.5	919	6	1,663,575	20	5	7	530	27.3	0.544	0	1	0.875	Moderate	672
RE_000016	Malawi	2,025	solar_pv	1,883	0	0	0	0.738	5,183	15.5	653	17.5	1,001	9	1,000,656	20	11	7	588	50.7	0.621	1	1	1	High	1,205
RE_000017	Niger	2,021	biomass	0	0	0	0	0.486	5,271	122	163	0	0	5	0	null	7	5	0	60	0.11	1	0	null	Moderate	583
RE_000018	Mali	2,023	hydro_large	0	0	0.16	0	0.18	8,174	216.7	54	57.7	272	9	1,800,353	20	9	6	92	43.7	0.402	1	1	0.719	Low	442
RE_000019	Rwanda	2,018	hydro_small	0	0	0.05	0	0.388	2,512	31.1	149	42.9	559	9	3,295,410	20	7	4	526	81.1	0.301	0	1	0.812	Moderate	590
RE_000020	Malawi	2,020	solar_pv	1,925	0	0	0	0.771	24,326	20.9	220	18.5	356	10	784,407	20	2	4	173	49.1	0.16	0	0	0.928	Moderate	753
RE_000021	South Africa	2,021	wind_offshore	0	6.9	0	0	0.715	29,235	11.8	420	31.4	1,155	8	1,103,353	20	7	9	425	38.9	0.301	0	1	0.883	Moderate	1,190
RE_000022	Ethiopia	2,019	hydro_large	0	0	0.3	0	1	27,700	19.2	163	44.9	641	10	1,795,705	20	4	9	299	69.5	0.588	1	1	1	Moderate	723
RE_000023	Malawi	2,023	solar_pv	1,914	0	0	0	0.792	44,301	125	307	20.2	543	7	1,405,722	20	0	5	441	55.2	0.451	0	0	0.876	Moderate	692
RE_000024	Malawi	2,025	hydro_large	0	0	2.5	0	0.557	7,790	122.3	422	52.1	1,925	6	1,503,929	20	11	3	649	60.4	0.143	0	1	0.696	Moderate	592
RE_000025	South Africa	2,025	geothermal	0	0	0	56	0.1	4,106	25.6	59	86.7	448	7	5,521,226	20	3	7	367	71.9	0.435	0	1	0.694	Low	496
RE_000026	South Africa	2,020	geothermal	0	0	0	341	0.1	2,794	62.2	53	82	380	8	3,625,633	20	7	2	171	67.4	0.789	0	1	0.805	Low	183
RE_000027	Mozambique	2,020	hydro_large	0	0	0.44	0	1	5,908	20.5	130	59.7	679	10	2,500,633	20	3	3	361	48.3	0.22	1	0	1	Moderate	380
RE_000028	Senegal	2,024	solar_csp	2,064	0	0	0	0.753	17,845	22.8	517	24.4	1,105	10	1,468,549	20	8	11	747	74.5	0.626	0	0	1	High	1,308
RE_000029	Niger	2,022	biomass	0	0	0	0	0.417	3,928	67.5	217	0	0	5	0	null	5	9	0	21	0.248	0	1	null	Moderate	1,049
RE_000030	Malawi	2,021	wind_onshore	0	6.6	0	0	0.36	32,389	82.5	180	36	567	5	1,168,595	20	7	9	175	43.2	0.478	1	1	0.699	Moderate	887
RE_000031	Kenya	2,020	geothermal	0	0	0	238	0.829	22,464	114.1	512	87.1	3,906	10	3,201,585	20	2	6	1,856	58.7	0.251	0	0	0.941	High	1,030
RE_000032	Senegal	2,021	solar_pv	1,862	0	0	0	0.74	36,519	90.5	232	17.2	349	8	1,304,506	20	7	2	262	80.1	0.496	1	1	0.916	Moderate	659
RE_000033	Mali	2,020	geothermal	0	0	0	177	0.194	6,941	343.7	82	88.7	637	7	4,591,506	20	6	9	353	69.3	0.124	0	1	0.549	Low	591
RE_000034	Uganda	2,019	biomass	0	0	0	0	0.532	31,362	2.8	217	0	0	6	0	null	5	7	0	37.3	0.473	1	0	null	Moderate	677
RE_000035	Mozambique	2,021	biomass	0	0	0	0	0.556	22,350	59.2	76	0	0	7	0	null	14	7	0	18.9	0.244	1	0	null	Low	528
RE_000036	Senegal	2,023	solar_pv	1,980	0	0	0	0.868	43,167	172.5	542	20.9	992	10	1,335,181	20	12	6	748	23.1	0.383	0	1	0.968	High	1,474
RE_000037	Zambia	2,023	biomass	0	0	0	0	0.509	37,180	43.8	87	0	0	10	0	null	9	12	0	47.9	0.393	1	1	null	Low	781
RE_000038	DRC	2,019	wind_offshore	0	6.7	0	0	0.431	7,733	64.2	159	31.3	435	9	1,334,125	20	6	7	244	44.7	0.323	0	1	0.821	Moderate	667
RE_000039	Nigeria	2,023	wind_onshore	0	6.8	0	0	0.554	14,253	37.4	188	33	543	6	1,796,232	20	6	8	334	36	0.128	0	1	0.717	Moderate	778
RE_000040	South Africa	2,022	hydro_small	0	0	0.52	0	0.287	6,090	21.5	61	46.6	249	7	3,082,521	20	8	5	192	33.9	0.179	1	1	0.688	Low	431
RE_000041	Nigeria	2,019	hydro_large	0	0	2.02	0	0.368	8,525	329.2	73	50.1	320	9	2,881,389	20	4	6	192	68	0.376	1	0	0.736	Low	384
RE_000042	Mali	2,025	biomass	0	0	0	0	0.433	5,221	132	235	0	0	6	0	null	3	7	0	31.7	0.599	0	0	null	Moderate	591
RE_000043	DRC	2,021	wind_onshore	0	6.6	0	0	0.1	8,637	500	34	31.1	92	9	1,582,160	20	6	7	47	53.4	0.184	0	0	0.556	Low	405
RE_000044	Rwanda	2,021	wind_offshore	0	7.8	0	0	0.543	32,893	56.3	245	32.1	688	6	1,435,315	20	7	9	373	75.7	0.481	0	1	0.796	Moderate	893
RE_000045	Uganda	2,021	solar_pv	1,897	0	0	0	0.824	5,858	14.2	413	22.2	803	7	1,102,058	20	7	4	490	55.5	0.29	1	0	0.879	Moderate	752
RE_000046	Niger	2,024	hydro_large	0	0	5.95	0	0.1	4,147	176.7	37	46.3	150	5	3,827,356	20	4	6	159	47.2	0.468	1	0	0.591	Low	339
RE_000047	Senegal	2,021	solar_pv	2,041	0	0	0	0.844	20,215	19.8	417	20.4	745	10	1,103,089	20	10	9	387	68.6	0.666	0	1	1	Moderate	1,431
RE_000048	South Africa	2,022	hydro_large	0	0	1.27	0	0.388	435	201.8	120	52.5	551	6	2,819,850	20	5	9	390	84.5	0.664	1	1	0.752	Moderate	802
RE_000049	Ghana	2,019	solar_pv	1,928	0	0	0	0.839	17,702	66.4	381	22.3	744	10	1,037,922	20	6	7	472	81.6	0.47	0	1	1	Moderate	899
RE_000050	Ghana	2,023	hydro_small	0	0	1.96	0	0.558	13,631	125.8	146	49.8	636	10	2,221,542	20	7	5	263	68.9	0.71	1	0	0.97	Moderate	574
RE_000051	Tanzania	2,023	hydro_large	0	0	0.65	0	0.583	21,566	36.8	207	38.3	694	9	2,429,127	20	4	6	439	68.3	0.261	1	1	0.859	Moderate	534
RE_000052	DRC	2,021	solar_pv	2,094	0	0	0	0.715	12,408	23.9	148	20	259	8	1,309,359	20	7	9	208	58.9	0.1	0	0	0.829	Moderate	624
RE_000053	South Africa	2,023	solar_pv	1,932	0	0	0	0.9	83,424	94.8	658	21	1,210	9	973,094	20	4	7	744	58.2	0.615	0	1	1	High	1,284
RE_000054	South Africa	2,024	hydro_small	0	0	0.55	0	0.157	5,096	73.2	86	49.6	373	5	1,832,596	20	9	7	174	20.6	0.268	1	0	0.589	Low	531
RE_000055	Tanzania	2,025	solar_csp	2,072	0	0	0	0.924	27,608	122.8	372	17.4	567	8	1,014,169	20	6	9	344	72.7	0.426	0	1	0.944	Moderate	965
RE_000056	Niger	2,022	solar_csp	2,022	0	0	0	0.82	19,833	19	484	21.2	898	10	1,004,612	20	11	7	529	50.4	0.386	1	1	1	Moderate	1,559
RE_000057	Niger	2,025	wind_offshore	0	6.7	0	0	0.496	16,483	2	209	31.4	574	5	2,148,366	20	10	2	395	61.2	0.462	0	1	0.76	Moderate	573
RE_000058	Tanzania	2,022	wind_offshore	0	5.1	0	0	0.726	24,307	62.8	375	32.8	1,077	9	1,524,403	20	2	5	632	55.5	0.681	0	0	0.999	Moderate	724
RE_000059	Mali	2,019	solar_pv	1,948	0	0	0	0.949	45,520	21.7	178	17	265	6	729,143	20	6	5	124	48.8	0.619	0	0	0.963	Moderate	444
RE_000060	Rwanda	2,024	hydro_small	0	0	2.26	0	0.62	1,727	53.1	341	42.3	1,263	6	2,535,402	20	11	9	698	57	0.294	0	1	0.774	Moderate	1,176
RE_000061	Tanzania	2,019	hydro_small	0	0	6.49	0	0.595	49,615	24.3	170	50.4	750	10	2,004,944	20	4	7	361	67.2	0.556	0	1	0.974	Moderate	838
RE_000062	Ethiopia	2,022	solar_pv	1,968	0	0	0	0.934	30,414	4.7	449	22.6	888	6	969,623	20	11	1	431	75.5	0.612	1	0	0.962	Moderate	1,334
RE_000063	Nigeria	2,018	solar_pv	1,914	0	0	0	0.897	179,899	47.3	331	20	579	8	1,465,788	20	9	2	456	30.2	0.422	1	0	0.957	Moderate	848
RE_000064	Ethiopia	2,021	solar_pv	2,036	0	0	0	0.86	26,595	3.9	132	19.4	224	10	801,367	20	3	7	122	72.2	0.1	1	1	0.945	Moderate	704
RE_000065	Mali	2,021	geothermal	0	0	0	55	0.1	888	419.6	25	81.8	179	9	5,211,432	20	6	7	117	72.3	0.437	1	0	0.643	Low	414
RE_000066	Senegal	2,021	solar_csp	1,932	0	0	0	0.863	14,037	101.1	574	20.3	1,020	8	1,219,441	20	6	7	777	39.4	0.342	1	1	0.911	High	1,735
RE_000067	Malawi	2,025	solar_pv	2,188	0	0	0	0.727	186	148.3	156	22.6	308	9	1,394,072	20	11	7	188	54.3	0.844	1	0	1	Moderate	583
RE_000068	DRC	2,020	geothermal	0	0	0	29	0.124	100	176.3	68	84.4	502	9	4,824,109	20	12	7	335	56.7	0.547	0	0	0.751	Low	424
RE_000069	Tanzania	2,020	solar_csp	1,984	0	0	0	0.943	41,213	78.9	587	21.1	1,084	7	788,308	20	8	10	516	17.6	0.296	0	0	0.897	High	2,079
RE_000070	Nigeria	2,020	hydro_small	0	0	1.05	0	0.405	7,287	96.3	226	50.4	997	6	3,184,458	20	7	4	717	59	0.717	1	1	0.802	Moderate	576
RE_000071	Ghana	2,023	solar_pv	2,046	0	0	0	0.881	4,295	120.5	611	22.6	1,209	10	1,494,642	20	4	7	870	63.5	0.571	0	1	1	High	1,213
RE_000072	Malawi	2,022	solar_pv	2,040	0	0	0	0.748	27,495	2.6	399	22.7	793	6	1,160,203	20	7	8	402	47.9	0.508	0	0	0.881	Moderate	1,445
RE_000073	South Africa	2,022	hydro_large	0	0	0.43	0	0.422	6,392	20.4	275	52.3	1,259	7	3,337,050	20	1	6	1,086	85.5	0.396	0	1	0.783	Moderate	1,081
RE_000074	Senegal	2,025	solar_csp	2,038	0	0	0	0.948	3,573	53.7	722	20.2	1,277	9	1,129,334	20	13	6	675	60.7	0.746	1	0	1	High	2,362
RE_000075	Rwanda	2,018	hydro_large	0	0	0.03	0	0.622	79,175	277	155	46.2	627	6	1,988,595	20	11	7	250	44.8	0.408	1	1	0.736	Moderate	813
RE_000076	DRC	2,021	hydro_large	0	0	0.65	0	1	17,656	23	377	60	1,981	10	3,265,082	20	7	8	1,421	22.6	0.146	1	1	0.993	Moderate	1,051
RE_000077	Zambia	2,018	solar_pv	2,069	0	0	0	0.663	17,318	2.3	99	19.5	169	8	1,485,041	20	8	9	155	66	0.714	0	0	0.973	Low	719
RE_000078	Senegal	2,022	wind_onshore	0	6.8	0	0	0.76	1,402	39.6	351	30.9	950	9	1,611,027	20	4	6	619	72.5	0.529	1	0	0.978	Moderate	1,208
RE_000079	Uganda	2,023	hydro_large	0	0	4.43	0	0.449	15,352	500	259	50.9	1,154	5	2,626,320	20	7	6	632	53.3	0.749	0	1	0.669	Moderate	706
RE_000080	Tanzania	2,019	solar_pv	1,913	0	0	0	0.86	16,668	19.2	182	22.7	361	9	1,407,110	20	2	7	276	81.4	0.425	1	1	0.988	Moderate	809
RE_000081	Mozambique	2,020	wind_onshore	0	7.4	0	0	0.497	8,585	22.6	69	33.7	203	7	1,558,856	20	7	4	98	76.5	0.417	1	1	0.81	Low	373
RE_000082	Mali	2,025	geothermal	0	0	0	446	0.1	1,214	98.3	19	85.7	142	7	3,031,011	20	5	8	57	51.7	0.297	1	1	0.638	Low	451
RE_000083	Tanzania	2,018	solar_pv	1,911	0	0	0	0.821	17,622	153.9	231	22.7	459	6	826,798	20	6	4	157	71.3	0.325	0	0	0.811	Moderate	723
RE_000084	Senegal	2,024	hydro_small	0	0	1.63	0	0.1	1,652	92.2	73	52.7	337	8	1,633,834	20	6	5	132	36.8	0.293	0	0	0.672	Low	372
RE_000085	Mali	2,018	hydro_large	0	0	0.84	0	0.112	2,898	207.5	48	43.2	181	6	3,859,093	20	1	9	203	68.3	0.556	0	1	0.64	Low	533
RE_000086	Kenya	2,019	hydro_large	0	0	0.8	0	0.708	1,472	10.4	323	52.9	1,496	10	3,937,971	20	4	7	1,049	34.2	0.569	1	0	1	Moderate	856
RE_000087	Mozambique	2,020	wind_onshore	0	6	0	0	0.532	16,500	6.3	85	34.8	259	7	1,689,733	20	8	7	137	33.5	0.118	0	0	0.751	Low	563
RE_000088	Tanzania	2,022	solar_pv	1,909	0	0	0	0.552	6,264	20.9	107	24.4	228	6	693,962	20	4	7	64	56.4	0.165	1	1	0.731	Moderate	483
RE_000089	Ghana	2,022	biomass	0	0	0	0	0.539	23,130	62.8	243	0	0	8	0	null	9	4	0	50.3	0.46	0	1	null	Moderate	604
RE_000090	Mozambique	2,024	solar_pv	2,009	0	0	0	0.872	75,146	149.2	508	18.7	832	6	847,773	20	9	10	403	46	0.367	1	1	0.839	High	1,786
RE_000091	South Africa	2,018	wind_onshore	0	7.3	0	0	0.622	17,821	6	261	32.7	747	7	2,484,469	20	3	9	556	46.4	0.149	1	1	0.785	Moderate	898
RE_000092	Nigeria	2,021	hydro_small	0	0	0.04	0	0.598	4,531	2.8	186	51	830	8	2,870,659	20	7	10	534	70.3	0.25	0	1	0.838	Moderate	910
RE_000093	Mozambique	2,021	wind_onshore	0	6.8	0	0	0.566	3,004	320.6	270	29.1	688	6	1,821,293	20	3	5	566	75.7	0.601	0	0	0.754	Moderate	1,054
RE_000094	Senegal	2,021	solar_pv	1,895	0	0	0	0.814	79,984	16.9	235	20.5	422	8	958,666	20	6	4	184	43.5	0.437	1	0	0.945	Moderate	901
RE_000095	Senegal	2,018	wind_onshore	0	7	0	0	0.536	100	43.5	157	35.7	490	6	2,200,079	20	4	7	397	35.1	0.267	0	0	0.744	Moderate	763
RE_000096	Zambia	2,023	solar_pv	2,039	0	0	0	0.709	14,364	4.1	327	21.8	624	7	759,833	20	9	6	241	65.5	0.4	0	0	0.875	Moderate	953
RE_000097	Niger	2,023	solar_pv	2,011	0	0	0	1	13,205	167.2	213	19.8	369	9	1,172,824	20	7	5	287	47	0.602	0	1	1	Moderate	487
RE_000098	Senegal	2,021	geothermal	0	0	0	10	0.1	1,262	500	40	87.1	305	8	5,175,208	20	5	12	233	20.8	0.238	1	0	0.536	Low	663
RE_000099	Tanzania	2,019	solar_pv	2,005	0	0	0	0.732	66,817	207.5	112	20.9	205	8	1,142,812	20	3	4	130	33.1	0.696	1	1	0.928	Moderate	507

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Africa Synth Climate Renewable Energy Potential Africa Niger | Africa (Electric Sheep Africa metadata inventory)

Size category: 10K<n<100K - Formats: csv - Sector: energy - Engineered by Electric Sheep Africa

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: ⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. Renewable Energy Potential - Africa A comprehensive synthetic dataset assessing renewable energy resources, project viability, and investment metrics across Sub-Saharan African countries. Dataset Description This dataset provides detailed records of renewable energy potential across 15 Sub-Saharan African countries. It… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-renewable-energy-potential-africa-niger.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-climate-renewable-energy-potential-africa-niger`
Sector	energy
Topic tags	climate, environment, synthetic-data, sub-saharan-africa, renewable-energy, solar-energy, wind-energy, hydropower, synthetic
Modalities	`tabular`, `text`
Formats	`csv`
Size category	`10K<n<100K`
Countries	Niger
ISO3 coverage	`NER`
Last modified on HF	`2026-04-14 22:53:13+00:00`
Inventory snapshot	`2026-07-16T16:00:34Z`

How To Read This Dataset

Start from the repository files and the dataset viewer when available.
Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-synth-climate-renewable-energy-potential-africa-niger")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
Exact schema, row counts, and source files should be inspected in the repository data files.
Metadata gaps from the inventory: upstream_publisher.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: Electric Sheep Africa metadata inventory
Publisher/source attribution: Public dataset metadata
License: CC BY 4.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-renewable-energy-potential-africa-niger
Inventory retrieved at: 2026-07-16T16:00:34Z

Suggested Analyses

Inspect schema and missingness before modeling.
Profile variables by geography, time, and subgroup columns where present.
Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_synth_climate_renewable_energy_potential_africa_niger_2026,
  title        = {Africa Synth Climate Renewable Energy Potential Africa Niger | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-renewable-energy-potential-africa-niger},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-renewable-energy-potential-africa-niger}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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Collection including electricsheepafrica/africa-synth-climate-renewable-energy-potential-africa-niger

Niger · Country Data Coverage

Collection

543 official ML-ready Niger open-data resources, plus related Electric Sheep Africa datasets. • 1349 items • Updated 22 days ago