Database of known eclipsing binaries (according to O-C gateway)

In the list bellow, there are all known eclipsing binaries, their coordinates, elements and neglection rating in last 10 years.

All data were passed from O-C gateway maintained by Anton Paschke.

And, Ant, Aps, Aql, Aqr, Ara, Ari, Aur, Boo, Cae, Cam, Cap, Car, Cas, Cen, Cep, Cet, Cir, CMa, CMi, Cnc, Col, Com, CrA, CrB, Crt, Cru, Crv, CVn, Cyg, Del, Dor, Dra, Equ, Eri, For, Gem, Gru, Her, Hor, Hya, Hyi, Cha, Ind, Lac, Leo, LMi, Lep, Lib, Lup, Lyn, Lyr, Men, Mic, Mon, Mus, Nor, Oct, Oph, Ori, Pav, Peg, Per, Phe, Pic, Psc, PsA, Pup, Pyx, Ret, Sco, Scl, Sct, Ser, Sex, Sge, Sgr, Tau, Tel, Tri, TrA, Tuc, UMa, UMi, Vel, Vir, Vol, Vul,

STAR Lyr			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
RV	p	6	4	163	3.599007	12185.154	19:16:17.97	+32:25:15	11.5	14.6	11.5	P	predict
TT	p	6	4	180	5.243727	53927.4478	19:27:36.31	+41:42:5.5	9.34	11.43	9.44	V	predict
TT	s	6	4	180	5.243727	38607.886	19:27:36.31	+41:42:5.5	9.34	11.43	9.44	V	predict
TZ	p	1	30	419	0.528827	53688.2719	18:15:49.67	+41:6:37.9	10.87	11.85	11.05	V	predict
TZ	s	1	30	419	0.528827	44784.6737	18:15:49.67	+41:6:37.9	10.87	11.85	11.05	V	predict
UZ	p	1	24	441	1.891269	53613.43	19:21:8.91	+37:56:11.5	9.9	11	10.1	V	predict
UZ	s	1	24	441	1.891269	43690.8871	19:21:8.91	+37:56:11.5	9.9	11	10.1	V	predict
AA	p	2	8	9	0.517325	29733.583	19:5:48.85	+29:4:43.5	13.4	14	13.5	P	predict
AA	s	2	8	9	0.517325	29733.842	19:5:48.85	+29:4:43.5	13.4	14	13.5	P	predict
AH	p	1	14	48	1.030705	27845.436	19:13:1.13	+27:16:37.5	12	13	12.1	V	predict
AK	p	8	2	28	2.085373	51275.472	19:15:19.6	+27:0:58	12.8	14.1	12.9	V	predict
BV	p	5	5	40	1.829649	52224.2889	19:17:42.92	+32:57:30.7	12.1	12.8	12.1	V	predict
BV	s	5	5	40	1.829649	55068.4881	19:17:42.92	+32:57:30.7	12.1	12.8	12.1	V	predict
DF	p	1	13	20	0.5771288	27801.84	18:53:34.25	+28:4:20.4	13.1	13.5	13.4	V	predict
DF	s	1	13	20	0.5771288	27802.12856	18:53:34.25	+28:4:20.4	13.1	13.5	13.4	V	predict
DT	p	7	3	5	0.7879075	51675.5236	19:3:22.48	+29:53:14.3	14	14.9	14	P	predict
DU	p	6	4	21	0.8370054	52179.3964	19:3:51.09	+30:8:4.9	13.1	14.4	13.3	P	predict
DZ	p	10	0	2	1.8364125	25439.42	19:10:53.55	+27:7:16.7	14.7	15.8	14.7	P	predict
ET	p	10	0	31	2.302193	36074.385	19:22:16.19	+34:51:21.6	13	15	13	P	predict
EW	p	1	37	331	1.948732	55705.452	18:33:15.62	+37:45:12.8	11.2	13.5	11.2	V	predict
EW	s	1	37	331	1.948732	48145.345	18:33:15.62	+37:45:12.8	11.2	13.5	11.2	V	predict
EX	p	2	8	16	0.717293	36461.356	18:37:11.63	+26:9:20	12.08	12.68	12.08	c	predict
EX	s	2	8	16	0.717293	52086.5101	18:37:11.63	+26:9:20	12.08	12.68	12.08	c	predict
FG	p	7	3	19	2.871815	27866.58	18:56:19.01	+32:11:28.1	12.4	13.3	12.4	V	predict
FH	p	4	6	36	1.589239	27907.518	19:11:29.85	+36:39:36	12.5	13.9	12.5	V	predict
FL	p	1	29	297	2.1781544	38221.5525	19:12:4.86	+46:19:26.9	9.27	9.89	9.52	V	predict
FL	s	1	29	297	2.1781544	38222.64158	19:12:4.86	+46:19:26.9	9.27	9.89	9.52	V	predict
FY	p	10	0	2	12.23613	25419.34	18:39:34.69	+30:6:47.4	14.1	16	14.1	P	predict
GZ	p	8	2	20	1.3294322	51722.4761	19:10:31.31	+27:55:0.6	13.3	14.4	13.3	P	predict
HT	p	7	3	32	0.8619849	52526.3448	18:15:12.09	+38:18:8	13.2	13.7	13.3	V	predict
HY	p	5	5	6	0.36907	51274.901	18:17:43.99	+31:37:43.6	13.8	14.4	14.1	P	predict
HY	s	5	5	6	0.36907	51275.086	18:17:43.99	+31:37:43.6	13.8	14.4	14.1	P	predict
IP	p	2	8	38	0.4728055	44461.411	18:23:24.39	+33:11:7.1	13.2	13.8	13.3	V	predict
IP	s	2	8	38	0.4728055	44461.6474	18:23:24.39	+33:11:7.1	13.2	13.8	13.3	V	predict
IQ	p	10	0	7	1.412782	29672.67	18:23:48.46	+32:43:22	14.6	16.8	14.6	P	predict
IW	p	3	7	43	0.7985203	30104.43	18:28:1.34	+38:59:53.3	13.1	14.2	13.3	P	predict
IW	s	3	7	43	0.7985203	53517.4465	18:28:1.34	+38:59:53.3	13.1	14.2	13.3	P	predict
IY	p	8	2	30	0.65119	29670.68	18:29:40.78	+31:0:0.9	13.8	14.1	14.1	V	predict
IY	s	8	2	30	0.65119	51422.115	18:29:40.78	+31:0:0.9	13.8	14.1	14.1	V	predict
KK	p	10	0	8	2.26235	30147.48	18:30:7.48	+34:18:0.7	14.4	16	14.4	P	predict
KT	p	9	1	15	0.581535	55338.7671	18:32:42.17	+32:58:55.4	14.7	15.4	14.9	P	predict
KT	s	9	1	15	0.581535	29752.68	18:32:42.17	+32:58:55.4	14.7	15.4	14.9	P	predict
LZ	p	2	8	61	1.611229	53517.559	18:41:26.23	+32:58:47.4	12	13.3	12	P	predict
MN	p	6	4	20	0.544077	29373.567	18:42:37.95	+35:4:55.1	13.8	14.5	14.1	P	predict
MZ	p	7	3	10	0.9673965	53895.374	18:54:32.87	+26:52:34.4	13.3	14	14	P	predict
MZ	s	7	3	10	0.9673965	51327.418	18:54:32.87	+26:52:34.4	13.3	14	14	P	predict
NS	p	10	0	2	2.797	39408.4	19:11:13.96	+36:10:35.4	14	16.8	14	P	predict
NV	p	5	5	50	1.5414207	33926.338	19:15:2.72	+33:50:47	12.8	13.8	12.8	P	predict
NY	p	1	9	50	0.4408	53648.3102	19:16:36.86	+34:23:40.5	12.7	13.2	13.1	P	predict
NY	s	1	9	50	0.4408	53612.3849	19:16:36.86	+34:23:40.5	12.7	13.2	13.1	P	predict
PS	p	6	4	42	1.4469825	53658.2966	19:18:22.62	+27:17:0.6	11.3	12	11.4	P	predict
PS	s	6	4	42	1.4469825	55097.3207	19:18:22.62	+27:17:0.6	11.3	12	11.4	P	predict
PV	p	6	4	25	1.198631	55387.4982	19:19:2.57	+31:36:36.3	12	12.3	12	P	predict
PY	p	1	33	121	0.385768	47675.503	19:20:25.96	+28:56:43.8	12.5	13.5	12.5	P	predict
PY	s	1	33	121	0.385768	53990.3345	19:20:25.96	+28:56:43.8	12.5	13.5	12.5	P	predict
QQ	p	10	0	2	1.746724	51275.083	19:21:2.02	+31:43:59.8	14.5	15.1	14.6	P	predict
QU	p	3	7	36	1.22303638	34040.888	19:23:23.82	+34:44:6.5	12.7	13.1	13.1	P	predict
QU	s	3	7	36	1.22303638	34041.4995	19:23:23.82	+34:44:6.5	12.7	13.1	13.1	P	predict
V 336	p	10	0	11	1.90513	38932.487	18:27:47.28	+33:2:24	14.9	16	14.9	P	predict
V 341	p	10	0	8	1.414533	51274.99	18:42:54.75	+38:45:15	14.2	15.5	14.2	P	predict
V 361	p	1	17	55	0.309614	44523.307	19:2:28.05	+46:58:57.8	14.3	15.7	14.7	B	predict
V 361	s	1	17	55	0.309614	53110.6132	19:2:28.05	+46:58:57.8	14.3	15.7	14.7	B	predict
V 376	p	9	1	3	0.766775	53899.4893	19:20:25.45	+31:39:29.5	14.3	14.8	14.3	P	predict
V 400	p	1	28	73	0.253427	55015.573	19:13:52.69	+38:6:56.4	12.7	13.35	12.7	c	predict
V 400	s	1	28	73	0.253427	51801.485	19:13:52.69	+38:6:56.4	12.7	13.35	12.7	c	predict
V 401	p	7	3	28	1.315044	47379.482	19:14:15.66	+38:26:58.2	13.6	15.6	13.6	P	predict
V 401	s	7	3	28	1.315044	47380.14	19:14:15.66	+38:26:58.2	13.6	15.6	13.6	P	predict
V 404	p	1	12	51	0.7309425	35836.462	19:19:5.96	+38:22:0.5	12.2	13	12.4	P	predict
V 404	s	1	12	51	0.7309425	53981.7443	19:19:5.96	+38:22:0.5	12.2	13	12.4	P	predict
V 406	p	3	7	62	0.860783	49250.448	18:32:16.28	+41:50:45.6	12.4	13.3	12.9	P	predict
V 406	s	3	7	62	0.860783	49250.878	18:32:16.28	+41:50:45.6	12.4	13.3	12.9	P	predict
V 411	p	6	4	10	0.582626	53317.567	19:6:27.56	+34:40:20.9	13.5	14.5	14.4	P	predict
V 411	s	6	4	10	0.582626	52179.404	19:6:27.56	+34:40:20.9	13.5	14.5	14.4	P	predict
V 412	p	1	13	21	0.931481	38260.393	19:6:48.49	+29:16:40.4	13.7	14.7	14.1	P	predict
V 412	s	1	13	21	0.93148	38260.859	19:6:48.49	+29:16:40.4	13.7	14.7	14.1	P	predict
V 417	p	5	5	9	0.300661	53287.6162	19:8:39.13	+30:43:9.4	14.9	16.2	14.9	P	predict
V 417	s	5	5	9	0.300661	53288.6689	19:8:39.13	+30:43:9.4	14.9	16.2	14.9	P	predict
V 429	p	8	2	8	1.067603	52139.5572	19:13:37.6	+34:29:10.3	14.5	16.3	14.8	P	predict
V 431	p	5	5	12	0.446367	53587.6718	19:14:0.43	+33:35:37.7	14.3	15.1	14.3	P	predict
V 431	s	5	5	12	0.446367	53576.7384	19:14:0.43	+33:35:37.7	14.3	15.1	14.3	P	predict
V 461	p	10	0	3	3.72298	51311.789	19:27:55.33	+41:33:35.1	14	15	14	P	predict
V 466	p	10	0	3	7.1802	51390.77	18:18:46.91	+32:4:5.6	12.75	13.6	12.75	P	predict
V 467	p	10	0	16	0.5457931	43192.56	18:34:46.46	+32:41:28.3	12.4	12.9	12.9	P	predict
V 467	s	10	0	16	0.5457931	43190.57	18:34:46.46	+32:41:28.3	12.4	12.9	12.9	P	predict
V 477	p	9	1	8	0.471729	44350.8214	18:31:18.49	+26:56:12	14.3	16	14.3	P	predict
V 481	p	10	0	8	7.2267	51276.35	18:47:46.38	+43:43:43	13.01	14.3	13.01	V	predict
V 507	p	7	3	6	0.36691	51274.955	18:40:48.5	+28:1:38	14.21	14.75	14.21	V	predict
V 507	s	7	3	6	0.36691	53577.5	18:40:48.5	+28:1:38	14.21	14.75	14.21	V	predict
V 533	p	9	1	2	1.31288	48500.1344	18:36:45.55	+43:13:18.5	6.261	6.382	6.261	V	predict
V 542	p	10	0	1	5.823	48502	18:58:1.9	+38:15:58.3	5.86	5.95	5.86	V	predict
V 551	p	10	0	1	4.9396	48500.066	19:7:19.18	+41:3:14.8	7.107	7.167	7.107	V	predict
V 556	p	9	1	3	1.490108	51317.574	19:25:8.28	+35:59:58.1	8.068	8.311	8.068	V	predict
V 559	p	10	0	1	1.01089	51422.23	18:28:23.02	+31:21:33.8	11.3	13.1	11.3	P	predict
V 563	p	1	20	32	0.577641	54000.408	18:45:6.63	+40:11:11.5	10.96	11.47	10.96	V	predict
V 563	s	1	20	32	0.577641	51453.321	18:45:6.63	+40:11:11.5	10.96	11.47	10.96	V	predict
V 569	p	6	5	9	1.2397626	55379.4064	18:15:21.93	+39:5:45.7	11.9	12.3	11.9	V	predict
V 569	s	6	5	9	1.2397626	55382.5059	18:15:21.93	+39:5:45.7	11.9	12.3	11.9	V	predict
V 571	p	4	6	9	1.2525883	51303.201	18:21:1.96	+44:38:42.7	11.7	12.3	11.7	V	predict
V 571	s	4	6	9	1.2525883	54941.36742	18:21:1.96	+44:38:42.7	11.7	12.3	11.7	V	predict
V 572	p	1	34	35	0.9933045	52500.856	18:21:38.32	+42:10:7.7	10.6	11	10.6	V	predict
V 572	s	1	34	35	0.9933045	52501.343	18:21:38.32	+42:10:7.7	10.6	11	10.6	V	predict
V 573	p	2	8	10	0.87052	55380.39538	18:23:1.26	+40:8:34.6	10.8	11.3	10.8	c	predict
V 573	s	2	8	10	0.87052	55000.40751	18:23:1.26	+40:8:34.6	10.8	11.3	10.8	c	predict
V 574	p	1	33	42	0.2731265	55336.888	18:27:12.23	+36:14:36.7	12.01	12.68	12.01	c	predict
V 574	s	1	33	42	0.2731265	55461.2971	18:27:12.23	+36:14:36.7	12.01	12.68	12.01	c	predict
V 576	p	1	10	12	0.533573	51257.8337	18:39:7.76	+41:56:54.2	12.3	12.7	12.3	V	predict
V 576	s	1	10	12	0.533573	52849.2132	18:39:7.76	+41:56:54.2	12.3	12.7	12.3	V	predict
V 577	p	9	1	4	0.389975	54971.35886	18:42:41.42	+45:29:3.3	14.5	15	14.5	p	predict
V 577	s	9	1	4	0.389975	51421.21599	18:42:41.42	+45:29:3.3	14.5	15	14.5	p	predict
V 579	p	1	14	25	0.242907	55707.4079	18:50:52.32	+43:40:11.9	12.77	13.25	12.77	c	predict
V 579	s	1	14	25	0.242907	55707.5289	18:50:52.32	+43:40:11.9	12.77	13.25	12.77	c	predict
V 580	p	1	17	29	0.289053	51766.6097	18:51:10.45	+35:35:56.5	12.85	13.42	12.85	V	predict
V 580	s	1	17	29	0.289053	55104.4509	18:51:10.45	+35:35:56.5	12.85	13.42	12.85	V	predict
V 581	p	8	2	4	0.78702	54696.51552	18:53:43.54	+37:23:35.4	12.7	13	12.7	V	predict
V 581	s	8	2	4	0.78702	51274.935	18:53:43.54	+37:23:35.4	12.7	13	12.7	V	predict
V 582	p	1	19	45	0.255905	53629.3154	18:55:38.18	+40:58:57.4	13.44	14.61	13.44	V	predict
V 582	s	1	19	45	0.255905	53822.9076	18:55:38.18	+40:58:57.4	13.44	14.61	13.44	V	predict
V 583	p	10	0	34	11.2579	38503.59	19:5:33.81	+39:20:3.8	12.9	13.6	12.9	P	predict
V 583	s	10	0	34	11.2579	38509.22	19:5:33.81	+39:20:3.8	12.9	13.6	12.9	P	predict
V 589	p	7	3	4	0.696432	51275.004	19:25:31.84	+42:51:13	11.6	12	11.6	V	predict
V 591	p	1	10	22	0.300395	53540.4431	18:24:36.8	+38:17:33.2	11.95	12.15	11.95	V	predict
V 591	s	1	10	22	0.300395	52181.6035	18:24:36.8	+38:17:33.2	11.95	12.15	11.95	V	predict
V 592	p	1	12	23	0.355684	52187.4555	18:30:53.66	+34:8:10.2	11.54	11.74	11.54	V	predict
V 592	s	1	12	23	0.355684	52187.2813	18:30:53.66	+34:8:10.2	11.54	11.74	11.54	V	predict
V 594	p	4	6	6	0.255999	55674.4069	18:45:21.8	+45:53:29	14	14.33	14	V	predict
V 594	s	4	6	6	0.255999	55682.4694	18:45:21.8	+45:53:29	14	14.33	14	V	predict
V 596	p	1	15	27	0.2996315	53540.4	18:46:55.06	+45:0:50.8	13.22	13.42	13.22	V	predict
V 596	s	1	15	27	0.2996315	52783.3819	18:46:55.06	+45:0:50.8	13.22	13.42	13.22	V	predict
G3526.1995	p	1	16	17	0.292256	52886.5072	18:24:26.92	+45:39:2	14.5	14.91	14.91	V	predict
G3526.1995	s	1	16	17	0.292256	52886.6533	18:24:26.92	+45:39:2	14.5	14.91	14.91	V	predict
G3108.0057	p	1	14	16	0.3687526	52886.3866	18:23:45.5	+41:5:48.2	13.22	13.62	13.62	V	predict
G3108.0057	s	1	14	16	0.3687526	52886.571	18:23:45.5	+41:5:48.2	13.22	13.62	13.62	V	predict
G3109.0859	p	1	15	17	0.4688166	52886.8156	18:30:16.51	+41:5:8.5	11.23	11.56	11.56	V	predict
G3109.0859	s	1	15	17	0.4688166	52886.5812	18:30:16.51	+41:5:8.5	11.23	11.56	11.56	V	predict
G3526.2369	p	1	17	19	0.330262	54387.412	18:33:36.13	+46:35:42.4	11.1	11.5	11.1	V	predict
G3526.2369	s	1	17	19	0.330262	54387.2505	18:33:36.13	+46:35:42.4	11.1	11.5	11.1	V	predict
bet	p	1	375	2451	12.93763	55435.1	18:50:4.79	+33:21:45.6	3.25	4.36	3.85	V	predict
bet	s	1	375	2451	12.93763	41546.36	18:50:4.79	+33:21:45.6	3.25	4.36	3.85	V	predict

TABLE LEGEND:
Star - object designation, 2nd column - primary / secondary minimum, 3rd column - "neglection rating" in last 10 years, N10 - number of data in last 10 years, N - all data amount, both CCD, visual and photographic has the same weight of 1 point, PERIOD - orbtial period in days, MIN0 - basic minimum, RA 2000 - right acscension, DE 2000 - declination, MAX - brightness in maximum (mag), MINP - brightness in primary minimum, MINS - brightness in secondary minimum, spectral band, in which max, minp and mins are given.

NEGLECTION RATING LEGEND:
For each object, all known observations were counted (in O-C gateway) in last 10 years. 1 CCD minimum got value 1, 1 visual / pg minimum got value 0,1.
For example 1 CCD minimum + 1 visual minimum => N10 = 1.1
Such N10 value, it was substracted 10 - N10 and rounded to integer. The result is neclection rating.