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
10,700	2,461,646.680368	0.92521	-0.4304	0.004069
10,701	2,461,646.6888	0.925267	-0.43027	0.004068
10,702	2,461,646.697232	0.925327	-0.430137	0.004067
10,703	2,461,646.705664	0.925387	-0.430007	0.004066
10,704	2,461,646.714096	0.925447	-0.429877	0.004065
10,705	2,461,646.722527	0.925503	-0.429743	0.004064
10,706	2,461,646.739391	0.925623	-0.42948	0.004062
10,707	2,461,646.747823	0.925683	-0.42935	0.004061
10,708	2,461,646.756255	0.92574	-0.42922	0.00406
10,709	2,461,646.764686	0.9258	-0.429087	0.004059
10,710	2,461,646.773118	0.92586	-0.428957	0.004058
10,711	2,461,646.78155	0.925917	-0.428823	0.004057
10,712	2,461,646.789982	0.925977	-0.428693	0.004056
10,713	2,461,646.798414	0.926037	-0.428563	0.004056
10,714	2,461,646.806845	0.926097	-0.42843	0.004055
10,715	2,461,646.815277	0.926153	-0.4283	0.004054
10,716	2,461,646.823709	0.926213	-0.428167	0.004053
10,717	2,461,646.832141	0.926273	-0.428037	0.004052
10,718	2,461,646.840573	0.92633	-0.427907	0.004051
10,719	2,461,646.849004	0.92639	-0.427773	0.00405
10,720	2,461,646.857436	0.92645	-0.427643	0.004049
10,721	2,461,646.865868	0.926507	-0.42751	0.004048
10,722	2,461,646.882732	0.926627	-0.427247	0.004046
10,723	2,461,646.891163	0.926683	-0.427117	0.004045
10,724	2,461,646.899595	0.926743	-0.426987	0.004044
10,725	2,461,646.908027	0.9268	-0.426853	0.004043
10,726	2,461,646.916459	0.92686	-0.426723	0.004042
10,727	2,461,646.924891	0.92692	-0.42659	0.004041
10,728	2,461,646.933322	0.926977	-0.42646	0.00404
10,729	2,461,646.941754	0.927037	-0.426327	0.004039
10,730	2,461,646.950186	0.927093	-0.426197	0.004038
10,731	2,461,646.958618	0.927153	-0.426063	0.004038
10,732	2,461,646.96705	0.927213	-0.425933	0.004037
10,733	2,461,646.975481	0.92727	-0.4258	0.004036
10,734	2,461,646.983913	0.92733	-0.42567	0.004035
10,735	2,461,646.992345	0.927387	-0.425537	0.004034
10,736	2,461,647.000777	0.927447	-0.425407	0.004033
10,737	2,461,647.009209	0.927503	-0.425277	0.004032
10,738	2,461,647.026072	0.927623	-0.425013	0.00403
10,739	2,461,647.034504	0.92768	-0.42488	0.004029
10,740	2,461,647.042936	0.92774	-0.42475	0.004028
10,741	2,461,647.051368	0.927797	-0.424617	0.004027
10,742	2,461,647.0598	0.927857	-0.424487	0.004026
10,743	2,461,647.068231	0.927913	-0.424353	0.004025
10,744	2,461,647.076663	0.927973	-0.424223	0.004024
10,745	2,461,647.085095	0.92803	-0.42409	0.004023
10,746	2,461,647.093527	0.92809	-0.42396	0.004022
10,747	2,461,647.101959	0.928147	-0.423827	0.004021
10,748	2,461,647.11039	0.928207	-0.423697	0.00402
10,749	2,461,647.118822	0.928263	-0.423563	0.004019
10,750	2,461,647.127254	0.928323	-0.423433	0.004018
10,751	2,461,647.135686	0.92838	-0.4233	0.004017
10,752	2,461,647.144118	0.92844	-0.42317	0.004016
10,753	2,461,647.152549	0.928497	-0.423037	0.004015
10,754	2,461,647.169413	0.928613	-0.422773	0.004014
10,755	2,461,647.177845	0.92867	-0.42264	0.004013
10,756	2,461,647.186277	0.92873	-0.42251	0.004012
10,757	2,461,647.194708	0.928787	-0.422377	0.004011
10,758	2,461,647.20314	0.928847	-0.422247	0.00401
10,759	2,461,647.211572	0.928903	-0.422113	0.004009
10,760	2,461,647.220004	0.928963	-0.421983	0.004008
10,761	2,461,647.228436	0.92902	-0.42185	0.004007
10,762	2,461,647.236867	0.929077	-0.42172	0.004006
10,763	2,461,647.245299	0.929137	-0.421587	0.004005
10,764	2,461,647.253731	0.929193	-0.421457	0.004004
10,765	2,461,647.262163	0.92925	-0.421323	0.004003
10,766	2,461,647.270595	0.92931	-0.42119	0.004002
10,767	2,461,647.279026	0.929367	-0.42106	0.004001
10,768	2,461,647.287458	0.929427	-0.420927	0.004
10,769	2,461,647.29589	0.929483	-0.420797	0.003999
10,770	2,461,647.312754	0.9296	-0.420533	0.003997
10,771	2,461,647.321186	0.929657	-0.4204	0.003996
10,772	2,461,647.329617	0.929713	-0.420267	0.003995
10,773	2,461,647.338049	0.929773	-0.420137	0.003994
10,774	2,461,647.346481	0.92983	-0.420003	0.003993
10,775	2,461,647.354913	0.929887	-0.419873	0.003992
10,776	2,461,647.363345	0.929947	-0.41974	0.003991
10,777	2,461,647.371776	0.930003	-0.419607	0.00399
10,778	2,461,647.380208	0.93006	-0.419477	0.003989
10,779	2,461,647.38864	0.93012	-0.419343	0.003988
10,780	2,461,647.397072	0.930177	-0.419213	0.003987
10,781	2,461,647.405504	0.930233	-0.41908	0.003987
10,782	2,461,647.413935	0.93029	-0.418947	0.003986
10,783	2,461,647.422367	0.93035	-0.418817	0.003985
10,784	2,461,647.430799	0.930407	-0.418683	0.003984
10,785	2,461,647.439231	0.930463	-0.418553	0.003983
10,786	2,461,647.456094	0.93058	-0.418287	0.003981
10,787	2,461,647.464526	0.930637	-0.418157	0.00398
10,788	2,461,647.472958	0.930693	-0.418023	0.003979
10,789	2,461,647.48139	0.930753	-0.417893	0.003978
10,790	2,461,647.489822	0.93081	-0.41776	0.003977
10,791	2,461,647.498253	0.930867	-0.417627	0.003976
10,792	2,461,647.506685	0.930923	-0.417497	0.003975
10,793	2,461,647.515117	0.93098	-0.417363	0.003974
10,794	2,461,647.523549	0.93104	-0.41723	0.003973
10,795	2,461,647.531981	0.931097	-0.4171	0.003972
10,796	2,461,647.540412	0.931153	-0.416967	0.003971
10,797	2,461,647.548844	0.93121	-0.416833	0.00397
10,798	2,461,647.557276	0.931267	-0.416703	0.003969
10,799	2,461,647.565708	0.931327	-0.41657	0.003968

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.