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
10,900	2,461,648.476343	0.9374	-0.402243	0.00386
10,901	2,461,648.484775	0.937453	-0.40211	0.003859
10,902	2,461,648.493206	0.93751	-0.401977	0.003858
10,903	2,461,648.501638	0.937563	-0.401847	0.003857
10,904	2,461,648.51007	0.93762	-0.401713	0.003856
10,905	2,461,648.518502	0.937673	-0.40158	0.003855
10,906	2,461,648.526934	0.93773	-0.401447	0.003854
10,907	2,461,648.535366	0.937787	-0.401313	0.003853
10,908	2,461,648.543797	0.93784	-0.40118	0.003852
10,909	2,461,648.552229	0.937897	-0.401047	0.003851
10,910	2,461,648.560661	0.93795	-0.400913	0.00385
10,911	2,461,648.569093	0.938007	-0.40078	0.003849
10,912	2,461,648.577525	0.93806	-0.400647	0.003848
10,913	2,461,648.585956	0.938117	-0.400513	0.003847
10,914	2,461,648.60282	0.938227	-0.400247	0.003845
10,915	2,461,648.611252	0.93828	-0.400113	0.003844
10,916	2,461,648.619684	0.938333	-0.39998	0.003843
10,917	2,461,648.628115	0.93839	-0.399847	0.003842
10,918	2,461,648.636547	0.938443	-0.399713	0.003841
10,919	2,461,648.644979	0.9385	-0.39958	0.00384
10,920	2,461,648.653411	0.938553	-0.399447	0.003839
10,921	2,461,648.661843	0.93861	-0.399313	0.003838
10,922	2,461,648.670274	0.938663	-0.39918	0.003837
10,923	2,461,648.678706	0.93872	-0.399047	0.003836
10,924	2,461,648.687138	0.938773	-0.398913	0.003835
10,925	2,461,648.69557	0.938827	-0.39878	0.003834
10,926	2,461,648.704002	0.938883	-0.398647	0.003833
10,927	2,461,648.712433	0.938937	-0.398513	0.003832
10,928	2,461,648.720865	0.938993	-0.39838	0.003831
10,929	2,461,648.729297	0.939047	-0.398247	0.00383
10,930	2,461,648.746161	0.939157	-0.39798	0.003828
10,931	2,461,648.754592	0.93921	-0.397847	0.003827
10,932	2,461,648.763024	0.939267	-0.397713	0.003826
10,933	2,461,648.771456	0.93932	-0.39758	0.003825
10,934	2,461,648.779888	0.939373	-0.397447	0.003824
10,935	2,461,648.78832	0.93943	-0.397313	0.003823
10,936	2,461,648.796751	0.939483	-0.39718	0.003822
10,937	2,461,648.805183	0.939537	-0.397047	0.00382
10,938	2,461,648.813615	0.939593	-0.396913	0.003819
10,939	2,461,648.822047	0.939647	-0.39678	0.003818
10,940	2,461,648.830479	0.9397	-0.396647	0.003817
10,941	2,461,648.838911	0.939757	-0.396513	0.003816
10,942	2,461,648.847342	0.93981	-0.39638	0.003815
10,943	2,461,648.855774	0.939863	-0.396247	0.003814
10,944	2,461,648.864206	0.93992	-0.396113	0.003813
10,945	2,461,648.872638	0.939973	-0.39598	0.003812
10,946	2,461,648.889501	0.94008	-0.395713	0.00381
10,947	2,461,648.897933	0.940137	-0.39558	0.003809
10,948	2,461,648.906365	0.94019	-0.395447	0.003808
10,949	2,461,648.914797	0.940243	-0.39531	0.003807
10,950	2,461,648.923229	0.9403	-0.395177	0.003806
10,951	2,461,648.93166	0.940353	-0.395043	0.003805
10,952	2,461,648.940092	0.940407	-0.39491	0.003804
10,953	2,461,648.948524	0.94046	-0.394777	0.003803
10,954	2,461,648.956956	0.940517	-0.394643	0.003802
10,955	2,461,648.965388	0.94057	-0.39451	0.003801
10,956	2,461,648.973819	0.940623	-0.394377	0.0038
10,957	2,461,648.982251	0.940677	-0.394243	0.003799
10,958	2,461,648.990683	0.94073	-0.39411	0.003798
10,959	2,461,648.999115	0.940787	-0.393977	0.003797
10,960	2,461,649.007547	0.94084	-0.393843	0.003796
10,961	2,461,649.015978	0.940893	-0.39371	0.003795
10,962	2,461,649.032842	0.941	-0.39344	0.003793
10,963	2,461,649.041274	0.941057	-0.393307	0.003792
10,964	2,461,649.049706	0.94111	-0.393173	0.003791
10,965	2,461,649.058137	0.941163	-0.39304	0.003789
10,966	2,461,649.066569	0.941217	-0.392907	0.003788
10,967	2,461,649.075001	0.94127	-0.392773	0.003787
10,968	2,461,649.083433	0.941323	-0.39264	0.003786
10,969	2,461,649.091865	0.94138	-0.392507	0.003785
10,970	2,461,649.100296	0.941433	-0.39237	0.003784
10,971	2,461,649.108728	0.941487	-0.392237	0.003783
10,972	2,461,649.11716	0.94154	-0.392103	0.003782
10,973	2,461,649.125592	0.941593	-0.39197	0.003781
10,974	2,461,649.134024	0.941647	-0.391837	0.00378
10,975	2,461,649.142456	0.9417	-0.391703	0.003779
10,976	2,461,649.150887	0.941753	-0.39157	0.003778
10,977	2,461,649.159319	0.94181	-0.391437	0.003777
10,978	2,461,649.176183	0.941917	-0.391167	0.003775
10,979	2,461,649.184615	0.94197	-0.391033	0.003774
10,980	2,461,649.193046	0.942023	-0.3909	0.003773
10,981	2,461,649.201478	0.942077	-0.390767	0.003772
10,982	2,461,649.20991	0.94213	-0.390633	0.003771
10,983	2,461,649.218342	0.942183	-0.3905	0.00377
10,984	2,461,649.226774	0.942237	-0.390363	0.003769
10,985	2,461,649.235205	0.94229	-0.39023	0.003768
10,986	2,461,649.243637	0.942343	-0.390097	0.003767
10,987	2,461,649.252069	0.942397	-0.389963	0.003765
10,988	2,461,649.260501	0.94245	-0.38983	0.003764
10,989	2,461,649.268933	0.942503	-0.389697	0.003763
10,990	2,461,649.277364	0.942557	-0.38956	0.003762
10,991	2,461,649.285796	0.94261	-0.389427	0.003761
10,992	2,461,649.294228	0.942663	-0.389293	0.00376
10,993	2,461,649.30266	0.942717	-0.38916	0.003759
10,994	2,461,649.319523	0.942823	-0.388893	0.003757
10,995	2,461,649.327955	0.942877	-0.388757	0.003756
10,996	2,461,649.336387	0.94293	-0.388623	0.003755
10,997	2,461,649.344819	0.942983	-0.38849	0.003754
10,998	2,461,649.353251	0.943037	-0.388357	0.003753
10,999	2,461,649.361682	0.94309	-0.388223	0.003752

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.