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
10,400	2,461,643.990622	0.90536	-0.471797	0.00435
10,401	2,461,643.999054	0.905423	-0.471667	0.004349
10,402	2,461,644.015918	0.905557	-0.47141	0.004348
10,403	2,461,644.02435	0.90562	-0.471283	0.004347
10,404	2,461,644.032781	0.905687	-0.471157	0.004346
10,405	2,461,644.041213	0.90575	-0.471027	0.004345
10,406	2,461,644.049645	0.905817	-0.4709	0.004344
10,407	2,461,644.058077	0.90588	-0.47077	0.004344
10,408	2,461,644.066509	0.905947	-0.470643	0.004343
10,409	2,461,644.07494	0.90601	-0.470513	0.004342
10,410	2,461,644.083372	0.906077	-0.470387	0.004341
10,411	2,461,644.091804	0.90614	-0.470257	0.00434
10,412	2,461,644.100236	0.906207	-0.47013	0.004339
10,413	2,461,644.108668	0.90627	-0.47	0.004339
10,414	2,461,644.117099	0.906337	-0.46987	0.004338
10,415	2,461,644.125531	0.9064	-0.469743	0.004337
10,416	2,461,644.133963	0.906467	-0.469613	0.004336
10,417	2,461,644.142395	0.90653	-0.469487	0.004335
10,418	2,461,644.159258	0.90666	-0.46923	0.004334
10,419	2,461,644.16769	0.906723	-0.4691	0.004333
10,420	2,461,644.176122	0.90679	-0.468973	0.004332
10,421	2,461,644.184554	0.906853	-0.468843	0.004331
10,422	2,461,644.192986	0.90692	-0.468717	0.00433
10,423	2,461,644.201417	0.906983	-0.468587	0.004329
10,424	2,461,644.209849	0.907047	-0.46846	0.004329
10,425	2,461,644.218281	0.907113	-0.46833	0.004328
10,426	2,461,644.226713	0.907177	-0.468203	0.004327
10,427	2,461,644.235145	0.907243	-0.468073	0.004326
10,428	2,461,644.243576	0.907307	-0.467943	0.004325
10,429	2,461,644.252008	0.90737	-0.467817	0.004324
10,430	2,461,644.26044	0.907437	-0.467687	0.004324
10,431	2,461,644.268872	0.9075	-0.46756	0.004323
10,432	2,461,644.277304	0.907567	-0.46743	0.004322
10,433	2,461,644.285736	0.90763	-0.467303	0.004321
10,434	2,461,644.302599	0.90776	-0.467043	0.004319
10,435	2,461,644.311031	0.907823	-0.466917	0.004319
10,436	2,461,644.319463	0.907887	-0.466787	0.004318
10,437	2,461,644.327895	0.907953	-0.46666	0.004317
10,438	2,461,644.336326	0.908017	-0.46653	0.004316
10,439	2,461,644.344758	0.90808	-0.4664	0.004315
10,440	2,461,644.35319	0.908147	-0.466273	0.004314
10,441	2,461,644.361622	0.90821	-0.466143	0.004314
10,442	2,461,644.370054	0.908273	-0.466017	0.004313
10,443	2,461,644.378485	0.90834	-0.465887	0.004312
10,444	2,461,644.386917	0.908403	-0.465757	0.004311
10,445	2,461,644.395349	0.908467	-0.46563	0.00431
10,446	2,461,644.403781	0.90853	-0.4655	0.004309
10,447	2,461,644.412213	0.908597	-0.465373	0.004309
10,448	2,461,644.420644	0.90866	-0.465243	0.004308
10,449	2,461,644.429076	0.908723	-0.465113	0.004307
10,450	2,461,644.44594	0.908853	-0.464857	0.004305
10,451	2,461,644.454372	0.908917	-0.464727	0.004304
10,452	2,461,644.462803	0.90898	-0.4646	0.004304
10,453	2,461,644.471235	0.909043	-0.46447	0.004303
10,454	2,461,644.479667	0.90911	-0.464343	0.004302
10,455	2,461,644.488099	0.909173	-0.464213	0.004301
10,456	2,461,644.496531	0.909237	-0.464083	0.0043
10,457	2,461,644.504962	0.9093	-0.463957	0.004299
10,458	2,461,644.513394	0.909367	-0.463827	0.004298
10,459	2,461,644.521826	0.90943	-0.463697	0.004298
10,460	2,461,644.530258	0.909493	-0.46357	0.004297
10,461	2,461,644.53869	0.909557	-0.46344	0.004296
10,462	2,461,644.547121	0.90962	-0.46331	0.004295
10,463	2,461,644.555553	0.909687	-0.463183	0.004294
10,464	2,461,644.563985	0.90975	-0.463053	0.004293
10,465	2,461,644.572417	0.909813	-0.462923	0.004293
10,466	2,461,644.589281	0.90994	-0.462667	0.004291
10,467	2,461,644.597712	0.910003	-0.462537	0.00429
10,468	2,461,644.606144	0.91007	-0.46241	0.004289
10,469	2,461,644.614576	0.910133	-0.46228	0.004288
10,470	2,461,644.623008	0.910197	-0.46215	0.004287
10,471	2,461,644.63144	0.91026	-0.46202	0.004287
10,472	2,461,644.639871	0.910323	-0.461893	0.004286
10,473	2,461,644.648303	0.910387	-0.461763	0.004285
10,474	2,461,644.656735	0.91045	-0.461633	0.004284
10,475	2,461,644.665167	0.910513	-0.461507	0.004283
10,476	2,461,644.673599	0.91058	-0.461377	0.004282
10,477	2,461,644.68203	0.910643	-0.461247	0.004281
10,478	2,461,644.690462	0.910707	-0.46112	0.004281
10,479	2,461,644.698894	0.91077	-0.46099	0.00428
10,480	2,461,644.707326	0.910833	-0.46086	0.004279
10,481	2,461,644.715758	0.910897	-0.46073	0.004278
10,482	2,461,644.732621	0.911023	-0.460473	0.004276
10,483	2,461,644.741053	0.911087	-0.460343	0.004275
10,484	2,461,644.749485	0.91115	-0.460213	0.004275
10,485	2,461,644.757917	0.911213	-0.460087	0.004274
10,486	2,461,644.766348	0.911277	-0.459957	0.004273
10,487	2,461,644.77478	0.91134	-0.459827	0.004272
10,488	2,461,644.783212	0.911403	-0.4597	0.004271
10,489	2,461,644.791644	0.911467	-0.45957	0.00427
10,490	2,461,644.800076	0.911533	-0.45944	0.004269
10,491	2,461,644.808507	0.911597	-0.45931	0.004269
10,492	2,461,644.816939	0.91166	-0.45918	0.004268
10,493	2,461,644.825371	0.911723	-0.459053	0.004267
10,494	2,461,644.833803	0.911787	-0.458923	0.004266
10,495	2,461,644.842235	0.91185	-0.458793	0.004265
10,496	2,461,644.850666	0.911913	-0.458663	0.004264
10,497	2,461,644.859098	0.911977	-0.458537	0.004263
10,498	2,461,644.875962	0.9121	-0.458277	0.004262
10,499	2,461,644.884394	0.912163	-0.458147	0.004261

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.