Subset (3)

epochs · 99k rows

Split (1)

train · 99k rows

Search is not available for this dataset

epoch_id int64 0 99k	bjd float64 2.46M 2.46M	obs_x float64 -1.01 1.02	obs_y float64 -0.64 0.62	obs_z float64 -0.01 0.01
4,700	2,461,477.167349	-0.99337	0.144468	0.002928
4,701	2,461,477.175781	-0.993393	0.144321	0.002927
4,702	2,461,477.184213	-0.993417	0.144175	0.002926
4,703	2,461,477.192645	-0.99344	0.144029	0.002924
4,704	2,461,477.201077	-0.993463	0.143882	0.002923
4,705	2,461,477.209508	-0.993487	0.143736	0.002922
4,706	2,461,477.21794	-0.99351	0.14359	0.002921
4,707	2,461,477.226372	-0.993533	0.143443	0.002919
4,708	2,461,477.234804	-0.993557	0.143297	0.002918
4,709	2,461,477.243236	-0.993583	0.14315	0.002917
4,710	2,461,477.251667	-0.993607	0.143004	0.002916
4,711	2,461,477.260099	-0.99363	0.142858	0.002914
4,712	2,461,477.268531	-0.993653	0.142711	0.002913
4,713	2,461,477.276963	-0.993677	0.142565	0.002912
4,714	2,461,477.285395	-0.9937	0.142418	0.002911
4,715	2,461,477.293826	-0.993723	0.142272	0.00291
4,716	2,461,477.31069	-0.99377	0.141979	0.002907
4,717	2,461,477.319122	-0.993793	0.141833	0.002906
4,718	2,461,477.327554	-0.993817	0.141686	0.002905
4,719	2,461,477.335986	-0.99384	0.14154	0.002903
4,720	2,461,477.344417	-0.993863	0.141394	0.002902
4,721	2,461,477.352849	-0.993887	0.141247	0.002901
4,722	2,461,477.361281	-0.99391	0.141101	0.0029
4,723	2,461,477.369713	-0.993933	0.140954	0.002898
4,724	2,461,477.378145	-0.993957	0.140808	0.002897
4,725	2,461,477.386576	-0.99398	0.140661	0.002896
4,726	2,461,477.395008	-0.994003	0.140515	0.002895
4,727	2,461,477.40344	-0.994027	0.140369	0.002893
4,728	2,461,477.411872	-0.994047	0.140222	0.002892
4,729	2,461,477.420304	-0.99407	0.140076	0.002891
4,730	2,461,477.428735	-0.994093	0.139929	0.00289
4,731	2,461,477.437167	-0.994117	0.139783	0.002888
4,732	2,461,477.454031	-0.994163	0.13949	0.002886
4,733	2,461,477.462463	-0.994187	0.139343	0.002885
4,734	2,461,477.470894	-0.99421	0.139197	0.002883
4,735	2,461,477.479326	-0.994233	0.139051	0.002882
4,736	2,461,477.487758	-0.994257	0.138904	0.002881
4,737	2,461,477.49619	-0.994277	0.138758	0.00288
4,738	2,461,477.504622	-0.9943	0.138611	0.002878
4,739	2,461,477.513053	-0.994323	0.138465	0.002877
4,740	2,461,477.521485	-0.994347	0.138318	0.002876
4,741	2,461,477.529917	-0.99437	0.138172	0.002875
4,742	2,461,477.538349	-0.994393	0.138025	0.002873
4,743	2,461,477.546781	-0.994417	0.137879	0.002872
4,744	2,461,477.555212	-0.994437	0.137732	0.002871
4,745	2,461,477.563644	-0.99446	0.137586	0.00287
4,746	2,461,477.572076	-0.994483	0.137439	0.002868
4,747	2,461,477.580508	-0.994507	0.137293	0.002867
4,748	2,461,477.597371	-0.99455	0.137	0.002865
4,749	2,461,477.605803	-0.994573	0.136853	0.002863
4,750	2,461,477.614235	-0.994597	0.136707	0.002862
4,751	2,461,477.622667	-0.99462	0.13656	0.002861
4,752	2,461,477.631099	-0.994643	0.136414	0.00286
4,753	2,461,477.639531	-0.994663	0.136267	0.002858
4,754	2,461,477.647962	-0.994687	0.136121	0.002857
4,755	2,461,477.656394	-0.99471	0.135974	0.002856
4,756	2,461,477.664826	-0.994733	0.135828	0.002855
4,757	2,461,477.673258	-0.994753	0.135681	0.002853
4,758	2,461,477.68169	-0.994777	0.135535	0.002852
4,759	2,461,477.690121	-0.9948	0.135388	0.002851
4,760	2,461,477.698553	-0.994823	0.135242	0.00285
4,761	2,461,477.706985	-0.994843	0.135095	0.002848
4,762	2,461,477.715417	-0.994867	0.134948	0.002847
4,763	2,461,477.723849	-0.99489	0.134802	0.002846
4,764	2,461,477.740712	-0.994933	0.134509	0.002843
4,765	2,461,477.749144	-0.994957	0.134362	0.002842
4,766	2,461,477.757576	-0.994977	0.134216	0.002841
4,767	2,461,477.766008	-0.995	0.134069	0.00284
4,768	2,461,477.774439	-0.995023	0.133923	0.002838
4,769	2,461,477.782871	-0.995043	0.133776	0.002837
4,770	2,461,477.791303	-0.995067	0.13363	0.002836
4,771	2,461,477.799735	-0.99509	0.133483	0.002835
4,772	2,461,477.808167	-0.99511	0.133336	0.002833
4,773	2,461,477.816598	-0.995133	0.13319	0.002832
4,774	2,461,477.82503	-0.995157	0.133043	0.002831
4,775	2,461,477.833462	-0.995177	0.132897	0.00283
4,776	2,461,477.841894	-0.9952	0.13275	0.002828
4,777	2,461,477.850326	-0.99522	0.132604	0.002827
4,778	2,461,477.858757	-0.995243	0.132457	0.002826
4,779	2,461,477.867189	-0.995267	0.13231	0.002825
4,780	2,461,477.884053	-0.99531	0.132017	0.002822
4,781	2,461,477.892485	-0.99533	0.131871	0.002821
4,782	2,461,477.900916	-0.995353	0.131724	0.002819
4,783	2,461,477.909348	-0.995373	0.131577	0.002818
4,784	2,461,477.91778	-0.995397	0.131431	0.002817
4,785	2,461,477.926212	-0.99542	0.131284	0.002816
4,786	2,461,477.934644	-0.99544	0.131138	0.002814
4,787	2,461,477.943076	-0.995463	0.130991	0.002813
4,788	2,461,477.951507	-0.995483	0.130844	0.002812
4,789	2,461,477.959939	-0.995507	0.130698	0.002811
4,790	2,461,477.968371	-0.995527	0.130551	0.002809
4,791	2,461,477.976803	-0.99555	0.130405	0.002808
4,792	2,461,477.985235	-0.99557	0.130258	0.002807
4,793	2,461,477.993666	-0.995593	0.130111	0.002806
4,794	2,461,478.002098	-0.995613	0.129965	0.002804
4,795	2,461,478.01053	-0.995637	0.129818	0.002803
4,796	2,461,478.027394	-0.99568	0.129525	0.002801
4,797	2,461,478.035825	-0.9957	0.129378	0.002799
4,798	2,461,478.044257	-0.99572	0.129232	0.002798
4,799	2,461,478.052689	-0.995743	0.129085	0.002797

Subsets and Splits

F146 Filter Flux Observations

Retrieves basic photometric measurements for a specific filter, providing simple data access but offering limited analytical insights beyond raw observations.