Datasets:

juliensimon
/

chime-frb-catalog

tns_name large_stringlengths 12 12	repeater_name large_stringclasses 19 values	ra_deg float64 0.83 359	dec_deg float64 -6.41 89.3	glon_deg float64 16.3 360	glat_deg float64 -68 89.5	snr float64 9 134	dm_pc_cm3 float64 102 3.04k	dm_fitb_pc_cm3 float64 103 3.04k	BcWidth float64 0 0.13	scattering_time_ms float64 0 0.09	flux_jy float64 0 41	fluence_jy_ms float64 0 95	sub_burst_count int64 0 5	is_repeater bool 2 classes
FRB20190131D	-9999	57.46	22.75	168.11	-24.08	18.7	642.1	642.1218	0.00197	0.000426	2.9	6.8	0	false
FRB20190131D	-9999	57.46	22.75	168.11	-24.08	18.7	642.1	642.1218	0.00197	0.000426	2.9	6.8	1	false
FRB20181117C	-9999	53.21	25.73	162.76	-24.4	28.3	1,776	1,773.7387	0.00393	0.00237	1.57	3	0	false
FRB20190118B	-9999	39.71	23.57	152.53	-33.06	9.7	666.4	670.89	0.03637	0.0194	0.31	3.62	0	false
FRB20190213A	FRB20190213A	31.72	20.08	146.06	-39.38	9.5	650.2	651.06	0.01475	0.00286	0.45	2.3	0	true
FRB20190515C	FRB20190213A	31.72	20.08	146.06	-39.38	10.1	653.5	652.39	0.01278	0.0061	0.48	5.5	0	true
FRB20181231A	-9999	29.71	20.96	143.38	-39.22	28.3	1,376.5	1,376.7324	0.00295	0.00076	1.09	2.2	0	false
FRB20181203A	-9999	33.6	23.57	146.43	-35.49	19.2	635.7	635.9255	0.00295	0.00144	1.74	3.6	0	false
FRB20190129A	-9999	45.06	21.42	158.87	-32.31	12.7	478.8	484.761	0.00885	0.0102	0.49	5	0	false
FRB20181203B	-9999	47.31	24.02	159.14	-29	25.6	373.6	375.3871	0.00393	0.00232	1.45	4.5	0	false
FRB20190125A	-9999	45.73	27.81	155.42	-26.64	9.4	562.9	564.701	0.01376	0.0041	0.37	2.6	0	false
FRB20190403F	-9999	43.34	33.14	150.44	-23.14	11.9	666.4	664.184	0.01475	0.0105	0.58	7.1	0	false
FRB20190422A	-9999	48.56	35.15	153.27	-19.17	18.3	452.9	452.302	0.02949	0.0027	0.6	9.1	0	false
FRB20190422A	-9999	48.56	35.15	153.27	-19.17	18.3	452.9	452.302	0.02949	0.0027	0.6	9.1	1	false
FRB20190422A	-9999	48.56	35.15	153.27	-19.17	18.3	452.9	452.302	0.02949	0.0027	0.6	9.1	2	false
FRB20190226A	-9999	58.83	31.93	162.45	-16.49	10.6	600.1	601.5727	0.00098	0.00049	1.45	1.42	0	false
FRB20190104A	-9999	70.5	35.59	166.73	-7.01	17.2	548.3	549.4329	0.00197	0.000155	1.45	3.9	0	false
FRB20190104A	-9999	70.5	35.59	166.73	-7.01	17.2	548.3	549.4329	0.00197	0.000155	1.45	3.9	1	false
FRB20181018C	-9999	67.15	37.57	163.43	-7.68	29.4	409.2	411.1927	0.00098	0.00051	2.4	3.3	0	false
FRB20190529A	-9999	68.06	40.32	161.89	-5.29	10.6	703.6	704.45	0.00393	0.0015	0.47	1.45	0	false
FRB20190415C	-9999	74.81	34.8	169.59	-4.78	9.2	648.6	650.182	0.00492	0.00087	0.46	0.77	0	false
FRB20190317A	-9999	87.44	44.66	166.86	8.75	9.3	1,156.5	1,157.2595	0.00197	0.00092	0.54	1.24	0	false
FRB20181214A	-9999	70	43.07	160.82	-2.37	25.4	467.5	468.148	0.00295	0.000442	0.156	0.41	0	false
FRB20190613B	-9999	65.75	42.67	158.98	-4.92	37.7	286.3	285.1379	0.00098	0.00045	1.08	1.26	0	false
FRB20190213C	-9999	64.26	45	156.57	-4.02	9.9	357.5	357.0634	0.00197	0.00081	0.62	1.09	0	false
FRB20190323D	-9999	56.88	46.93	151.43	-5.97	9.4	760.2	763.65	0.01278	0.007	0.37	2.49	0	false
FRB20190110A	-9999	64.95	47.44	155.2	-1.95	29.1	470.7	472.7526	0.00295	0.000381	1.54	3.8	0	false
FRB20190604C	-9999	77.39	49.3	159.19	5.52	45.1	504.7	515.636	0.02064	0.011	1.56	26.2	0	false
FRB20180729B	-9999	89.93	56.5	156.9	15.68	12.4	318.6	317.2235	0.00197	0.00066	0.92	1.2	0	false
FRB20190612C	-9999	79.12	61.01	150.02	13.01	38.7	1,638.5	1,641.5697	0.00393	0.00029	3.8	12.1	0	false
FRB20190421B	-9999	82.49	62.31	149.75	15.06	78.9	393.1	392.2475	0.00295	0.0012	5.1	16.4	0	false
FRB20190102B	-9999	21.66	21.39	133.77	-40.74	22.9	367.2	367.1642	0.00295	0.00093	1.71	3.9	0	false
FRB20190607A	-9999	26.23	23.66	138.44	-37.6	97.7	559.7	562.4528	0.00492	0.000395	4.35	21.3	0	false
FRB20190128A	-9999	21.8	24.67	133.18	-37.49	11.8	695.5	696.117	0.00688	0.0022	0.58	2	0	false
FRB20190601B	-9999	17.88	23.82	128.83	-38.82	29.3	789.3	787.795	0.02458	0.00567	1	13	0	false
FRB20190217B	-9999	22.58	26.95	133.54	-35.12	10.8	847.6	846.212	0.02654	0.0079	0.54	6	0	false
FRB20190605D	-9999	26.72	28.62	137.4	-32.69	10.9	1,653.1	1,656.5332	0.00393	0.0012	0.82	2.16	0	false
FRB20190226C	-9999	17.46	26.76	128.01	-35.93	10.6	826.5	827.77	0.00492	0.0015	0.39	1.41	0	false
FRB20190619C	-9999	38.29	36.33	144.87	-22.17	10.2	486.9	488.2712	0.00098	0.0005	0.72	1.22	0	false
FRB20180924A	-9999	35.46	37.52	142.12	-21.96	18.2	1,114.5	1,116.5456	0.00295	0.00099	1.3	3.5	0	false
FRB20190628C	-9999	11.52	48.59	122.02	-14.27	10	1,740.4	1,748.44	0.01966	0.0039	0.38	2.45	0	false
FRB20190106A	-9999	22.19	46.12	129.65	-16.26	9.6	341.3	340.061	0.00688	0.0058	0.27	0.81	0	false
FRB20181018A	-9999	17.03	51.55	125.57	-11.24	10.8	1,132.2	1,129.449	0.03146	0.011	0.49	5.8	0	false
FRB20190116E	-9999	19.36	52.32	126.97	-10.35	11.9	1,489.7	1,491.0006	0.00098	0.00072	0.46	1.12	0	false
FRB20181101A	-9999	21.26	53.88	127.93	-8.67	14.1	1,468.7	1,472.678	0.03047	0.01	0.5	10.7	0	false
FRB20190415B	-9999	8.86	54.85	120.61	-7.95	29.6	711.7	722.993	0.03539	0.01861	0.85	22.3	0	false
FRB20181119E	-9999	16.36	60.53	124.65	-2.29	11.2	1,169.5	1,169.768	0.00295	0.0018	0.7	2.2	0	false
FRB20181224B	-9999	45.36	46.14	145.22	-11.03	14	779.6	781.0087	0.00885	0.00206	0.77	3.1	0	false
FRB20190607B	-9999	42.02	49.62	141.57	-8.98	15.8	289.5	289.376	0.00295	0.0011	1.06	3.2	0	false
FRB20190124A	-9999	50.46	51.58	145.29	-4.64	14.4	1,274.6	1,275.853	0.02359	0.0223	0.61	13.4	0	false
FRB20190115A	-9999	45.61	54.28	141.39	-3.83	10.4	1,020.6	1,021.684	0.00295	0.0012	0.46	0.95	0	false
FRB20190325C	-9999	53.85	60.17	142.01	3.52	11.7	799	797.83	0.00885	0.0039	0.63	3.83	0	false
FRB20181014A	-9999	46.01	63.33	137.18	4.19	18.2	1,311.8	1,314.8896	0.0059	0.0023	0.99	2.7	0	false
FRB20181122A	-9999	60.04	55.48	147.51	1.89	12.2	661.6	662.821	0.00295	0.000182	0.53	1.42	0	false
FRB20190530A	-9999	68.74	60.59	147.22	8.75	11.5	554.8	555.445	0.00197	0.0013	0.58	1.69	0	false
FRB20190320A	-9999	61.6	63.36	142.85	8.3	15.7	613	614.146	0.00295	0.00126	0.94	4.4	0	false
FRB20181128A	FRB20181128A	73.92	63.22	146.73	12.3	23.4	446.4	450.3823	0.02163	0.00399	0.64	8.1	0	true
FRB20181128A	FRB20181128A	73.92	63.22	146.73	12.3	23.4	446.4	450.3823	0.02163	0.00399	0.64	8.1	1	true
FRB20181219A	FRB20181128A	73.92	63.22	146.73	12.3	10.2	449.7	451.806	0.01769	0.0068	0.39	4.7	0	true
FRB20190527B	FRB20181128A	73.92	63.22	146.73	12.3	9.4	449.7	449.819	0.00885	0.0033	0.36	2.04	0	true
FRB20190116D	-9999	85.1	68.68	144.42	19.03	11.5	1,161.4	1,164.025	0.00983	0.00392	0.51	4.7	0	false
FRB20190211A	-9999	67.06	68.64	140.63	13.59	20.2	1,188.9	1,188.256	0.00393	0.00329	1.47	5.8	0	false
FRB20180814A	FRB20180814A	65.54	73.63	136.46	16.58	11	190.9	189.286	0.00786	0.0031	0.39	2.6	0	true
FRB20180911C	FRB20180814A	65.54	73.63	136.46	16.58	10.5	190.9	189.84	0.00688	0.0039	0.97	6.2	0	true
FRB20180917A	FRB20180814A	65.54	73.63	136.46	16.58	19	194.1	189.917	0.06095	0.008	3.2	46	0	true
FRB20180917A	FRB20180814A	65.54	73.63	136.46	16.58	19	194.1	189.917	0.06095	0.008	3.2	46	1	true
FRB20180917A	FRB20180814A	65.54	73.63	136.46	16.58	19	194.1	189.917	0.06095	0.008	3.2	46	2	true
FRB20180919A	FRB20180814A	65.54	73.63	136.46	16.58	13.4	190.9	188.85	0.02163	0.0045	0.58	3.1	0	true
FRB20181028A	FRB20180814A	65.54	73.63	136.46	16.58	11.7	181.2	189.1063	0.03342	0.0019	1.31	22.6	0	true
FRB20181028A	FRB20180814A	65.54	73.63	136.46	16.58	11.7	181.2	189.1063	0.03342	0.0019	1.31	22.6	1	true
FRB20181028A	FRB20180814A	65.54	73.63	136.46	16.58	11.7	181.2	189.1063	0.03342	0.0019	1.31	22.6	2	true
FRB20181028A	FRB20180814A	65.54	73.63	136.46	16.58	11.7	181.2	189.1063	0.03342	0.0019	1.31	22.6	3	true
FRB20181028A	FRB20180814A	65.54	73.63	136.46	16.58	11.7	181.2	189.1063	0.03342	0.0019	1.31	22.6	4	true
FRB20181118C	FRB20180814A	65.54	73.63	136.46	16.58	10.3	187.6	190.167	0.00885	0.0045	0.33	1.72	0	true
FRB20181120C	FRB20180814A	65.54	73.63	136.46	16.58	10.6	190.9	191.7	0.00786	0.0065	0.38	3.7	0	true
FRB20190329A	-9999	65.54	73.63	136.46	16.58	11.7	189.2	188.606	0.0118	0.0009	0.52	2.24	0	false
FRB20190517B	FRB20180814A	65.54	73.63	136.46	16.58	9.6	187.6	191.72	0.01769	0.0078	0.48	4.2	0	true
FRB20190611A	FRB20180814A	65.54	73.63	136.46	16.58	15.9	187.6	190.449	0.00688	0.0029	1.17	8.4	0	true
FRB20190611A	FRB20180814A	65.54	73.63	136.46	16.58	15.9	187.6	190.449	0.00688	0.0029	1.17	8.4	1	true
FRB20190625E	FRB20180814A	65.54	73.63	136.46	16.58	11.4	187.6	188.533	0.00295	0.00066	0.84	4.2	0	true
FRB20190625E	FRB20180814A	65.54	73.63	136.46	16.58	11.4	187.6	188.533	0.00295	0.00066	0.84	4.2	1	true
FRB20190625E	FRB20180814A	65.54	73.63	136.46	16.58	11.4	187.6	188.533	0.00295	0.00066	0.84	4.2	2	true
FRB20190626A	FRB20180814A	65.54	73.63	136.46	16.58	11.9	194.1	192.49	0.04227	0.0098	0.43	5.3	0	true
FRB20190301B	-9999	69.5	74.08	136.85	17.71	9.3	619.5	621.333	0.00393	0.0016	0.4	0.85	0	false
FRB20190329B	-9999	87.9	76.27	137.34	22.86	15.3	406	406.0539	0.0059	0.00337	0	0	0	false
FRB20190221D	-9999	24.81	60.93	128.71	-1.4	10	473.9	473.7873	0.00197	0.00095	0.65	1.13	0	false
FRB20190302A	-9999	34.8	61.34	133.26	0.24	20.4	1,009.3	1,034.239	0.10617	0.0902	0.56	35	0	false
FRB20181019B	-9999	37.87	68.18	132.04	7.1	11.3	723	725.184	0.00295	0.0016	0.72	2.7	0	false
FRB20180916B	FRB20180916B	29.503126	65.716754	129.71	3.73	18.7	347.8	349.3491	0.00393	0.00105	1.84	6.1	0	true
FRB20181019A	FRB20180916B	29.503126	65.716754	129.71	3.73	16.2	346.1	348.778	0.00885	0.0036	0.81	10.4	0	true
FRB20181019A	FRB20180916B	29.503126	65.716754	129.71	3.73	16.2	346.1	348.778	0.00885	0.0036	0.81	10.4	1	true
FRB20181104A	FRB20180916B	29.503126	65.716754	129.71	3.73	17.9	347.8	349.4388	0.00295	0.00069	1.5	5	0	true
FRB20181104B	FRB20180916B	29.503126	65.716754	129.71	3.73	10.6	342.9	350.14	0.02163	0.0078	0.31	4.4	0	true
FRB20181120B	FRB20180916B	29.503126	65.716754	129.71	3.73	13.4	351	349.736	0.00393	0.0013	1.04	2.74	0	true
FRB20181222A	FRB20180916B	29.503126	65.716754	129.71	3.73	24	349.4	348.73651	0.03539	0.00039	4.9	50	0	true
FRB20181222A	FRB20180916B	29.503126	65.716754	129.71	3.73	24	349.4	348.73651	0.03539	0.00039	4.9	50	1	true
FRB20181222A	FRB20180916B	29.503126	65.716754	129.71	3.73	24	349.4	348.73651	0.03539	0.00039	4.9	50	2	true
FRB20181222A	FRB20180916B	29.503126	65.716754	129.71	3.73	24	349.4	348.73651	0.03539	0.00039	4.9	50	3	true
FRB20181223A	FRB20180916B	29.503126	65.716754	129.71	3.73	31.8	352.6	349.7096	0.00885	0.0022	2.02	15.7	0	true
FRB20181223A	FRB20180916B	29.503126	65.716754	129.71	3.73	31.8	352.6	349.7096	0.00885	0.0022	2.02	15.7	1	true

End of preview. Expand in Data Studio

CHIME/FRB Catalog

Fast Radio Bursts (FRBs) detected by the Canadian Hydrogen Intensity Mapping Experiment (CHIME) telescope. Currently 600 FRB events from the First CHIME/FRB Catalog.

Dataset description

Fast Radio Bursts are millisecond-duration radio transients of extragalactic origin -- one of the most exciting mysteries in modern astrophysics. First discovered in 2007, their physical origin remains debated, though magnetars are a leading candidate. CHIME, a radio telescope at the Dominion Radio Astrophysical Observatory in British Columbia, Canada, has revolutionized FRB science by detecting hundreds of bursts thanks to its enormous field of view (~200 square degrees) and continuous operation at 400-800 MHz.

The First CHIME/FRB Catalog (CHIME/FRB Collaboration, 2021, ApJS, 257, 59) contains FRBs detected between 2018 July 25 and 2019 July 1, representing the largest uniform FRB sample to date.

Schema

Column	Type	Description
`tns_name`	string	Transient Name Server designation (e.g. FRB 20181030A)
`ra_deg`	float64	Right ascension (degrees)
`dec_deg`	float64	Declination (degrees)
`dm_pc_cm3`	float64	Dispersion measure (pc/cm^3)
`width_ms`	float64	Burst width (milliseconds)
`flux_jy`	float64	Peak flux density (Jy)
`fluence_jy_ms`	float64	Fluence (Jy ms)
`scattering_time_ms`	float64	Scattering timescale (ms)
`snr`	float64	Signal-to-noise ratio
`is_repeater`	bool	True if source is a known repeater
`sub_burst_count`	float64	Number of sub-bursts

Quick stats

600 FRB events
94 from repeating sources
Median DM: 503.9 pc/cm^3
Max DM: 3037.7 pc/cm^3
Median S/N: 15.3

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/chime-frb-catalog", split="train")
df = ds.to_pandas()

# DM distribution
import matplotlib.pyplot as plt
df["dm_pc_cm3"].hist(bins=50)
plt.xlabel("Dispersion Measure (pc/cm^3)")
plt.ylabel("Count")
plt.title("CHIME/FRB DM Distribution")

# Repeaters vs one-offs
repeaters = df[df["is_repeater"] == True]
one_offs = df[df["is_repeater"] == False]
print(f"Repeaters: {len(repeaters)}, One-offs: {len(one_offs)}")

# Sky distribution
plt.figure(figsize=(12, 6))
plt.scatter(df["ra_deg"], df["dec_deg"], c=df["dm_pc_cm3"], s=5, cmap="viridis")
plt.colorbar(label="DM (pc/cm^3)")
plt.xlabel("RA (deg)")
plt.ylabel("Dec (deg)")
plt.title("CHIME/FRB Sky Distribution")

Data source

CHIME/FRB Collaboration, 2021, ApJS, 257, 59. "The First CHIME/FRB Fast Radio Burst Catalog", accessed via VizieR, CDS Strasbourg.

Update schedule

Semi-annually (1st of the month at 06:00 UTC) via GitHub Actions.

Related datasets

pulsar-catalog -- ATNF Pulsar Catalogue
gamma-ray-bursts -- Fermi GBM Gamma-Ray Burst Catalog
gravitational-waves -- LIGO/Virgo Gravitational Wave Events

Pipeline

Source code: juliensimon/space-datasets

Citation

@dataset{chime_frb_catalog,
  author = {Simon, Julien},
  title = {CHIME/FRB Catalog},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/juliensimon/chime-frb-catalog},
  note = {Based on CHIME/FRB Collaboration (2021, ApJS, 257, 59) via VizieR CDS Strasbourg}
}