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OTTER TDE Catalog

The Crab Nebula, a supernova remnant

Credit: NASA/ESA/Hubble

Part of a dataset collection on Hugging Face.

Dataset description

All known tidal disruption events (TDEs) from the Open TDE Catalog β€” stars torn apart by supermassive black holes.

A tidal disruption event (TDE) occurs when a star passes close enough to a supermassive black hole to be ripped apart by tidal forces, producing a luminous flare visible across the electromagnetic spectrum. The Open TDE Catalog aggregates all known TDE candidates with coordinates, redshifts, host galaxy identifications, and peak magnitudes.

Tidal disruption events provide a unique laboratory for studying supermassive black holes (SMBHs) that are otherwise quiescent and therefore undetectable. When a star on a low-angular-momentum orbit enters the tidal radius of an SMBH, the differential gravitational force across the star exceeds its self-gravity, shredding it into a stream of debris. Roughly half of this material becomes bound and accretes onto the black hole, producing a luminous flare that peaks in the UV/optical for lower-mass black holes (10^6--10^7 solar masses) and in the soft X-ray band for more massive ones. The light curve rise time, peak luminosity, and late-time decay rate (classically predicted to follow a t^(-5/3) power law) encode the black hole mass, the stellar mass and structure, and the orbital geometry.

The spectroscopic classification of TDEs into hydrogen-rich (TDE-H), helium-rich (TDE-He), and mixed subtypes reflects the composition of the disrupted star and the complex reprocessing of emission in the debris stream and outflows. Relativistic TDEs -- such as Swift J1644+57 -- launch powerful jets detectable at radio through hard X-ray wavelengths, providing probes of jet formation physics analogous to active galactic nuclei but in a time-resolved, 'clean' environment. The host galaxy properties (mass, morphology, nuclear activity) are critical for understanding the SMBH occupation fraction and the stellar dynamics that deliver stars to disruption orbits, with TDEs preferentially occurring in post-starburst ('E+A') galaxies for reasons that remain actively debated.

Schema

Column Type Description Sample Null %
name object Primary TDE designation (e.g., 'ASASSN-14li', 'AT2019qiz', 'Swift J1644+57'); modern transients use AT prefix until spectroscopically confirmed 2MASX J0249 0.0%
aliases object Comma-separated list of alternative designations from different surveys or reporting telegrams; null if no aliases recorded 2XMMi J184725.1-631724 83.3%
ra_hms object Right ascension of the TDE / host nucleus in sexagesimal format (HH:MM:SS.ss) 02:49:17.28 13.3%
dec_dms object Declination of the TDE / host nucleus in sexagesimal format (+DD:MM:SS.ss) -04:12:54 13.3%
ra float64 Right ascension in decimal degrees (J2000.0 ICRS); range 0-360; null for ~10% of entries lacking coordinates 42.322 14.4%
dec float64 Declination in decimal degrees (J2000.0 ICRS); range -90 to +90; null when ra is null -4.215 13.3%
redshift float64 Host galaxy spectroscopic redshift; TDE surveys typically probe 0.01 < z < 1; null for ~40% of entries; range ~0.001 (very nearby) to ~1 0.0186 6.7%
claimed_type object Spectroscopic classification: 'TDE' (confirmed), 'TDE?' (candidate), 'TDE-H' (hydrogen-dominated spectrum), 'TDE-He' (helium-dominated), 'TDE-H+He' (mixed), 'TDE-featureless'; null for unclassified candidates TDE 58.9%
host_galaxy object Name of the host galaxy where the TDE occurred; TDEs preferentially occur in post-starburst ('E+A') galaxies; null for ~30% of entries 2MASX J02491731-0412521 7.8%
host_ra float64 Host galaxy nucleus right ascension in decimal degrees; may differ slightly from TDE position for well-resolved hosts 42.322167 8.9%
host_dec float64 Host galaxy nucleus declination in decimal degrees -4.2145 7.8%
host_offset_arcsec float64 Angular offset between the TDE position and the host nucleus in arcseconds; genuine TDEs should be coincident with the nucleus (offset < 1 arcsec for high-z events); null for most entries 1.897 20.0%
peak_mag float64 Peak apparent magnitude (filter unspecified, typically optical/UV); null for ~60% of entries 15.6 52.2%
peak_abs_mag float64 Peak absolute magnitude; typical TDE: -17 to -21 mag; null for entries lacking redshift or peak apparent magnitude -20.855 55.6%
peak_date datetime64[ns] UTC date of peak brightness; null for events where the light curve peak was not well-constrained 2014-04-04 00:00:00 53.3%
discovery_date datetime64[ns] UTC date the transient was first reported; format YYYY-MM-DD 2006-07-14 00:00:00 27.8%
luminosity_distance_mpc float64 Luminosity distance in megaparsecs, computed from redshift; null when redshift is unavailable 83.5 6.7%
velocity_km_s float64 Host galaxy recession velocity in km/s (v = cz); null when redshift is unavailable 5520.0 6.7%
ebv float64 Milky Way line-of-sight dust reddening E(B-V) in magnitudes from the Schlegel/Schlafly dust maps; used to correct observed magnitudes for extinction 0.0267 14.4%
instruments object Instruments or facilities used for observations (e.g., 'ZTF', 'Swift-XRT', 'SDSS'); null for many entries PN, PSPC, XRT 18.9%
discovery_year Int64 Year of discovery; derived from discovery_date; null when discovery_date is unavailable 2006 27.8%

Quick stats

  • 90 tidal disruption events (1990--2018)
  • 77 with sky coordinates
  • 84 with redshift measurements
  • 37 with spectroscopic classification
  • 83 with identified host galaxy
  • 43 with peak magnitude

Classifications

Type Count
TDE? 14
MS + SMBH 8
TDE 6
AGN? 3
Candidate 2
WD + IMBH 1
Planet + WD 1
Low-mass TDE 1
SLSN-I? 1

Usage

from datasets import load_dataset
import matplotlib.pyplot as plt

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

# All confirmed TDEs
confirmed = df[df["claimed_type"] == "TDE"]

# TDEs with redshift
with_z = df[df["redshift"].notna()].sort_values("redshift")

# Nearby TDEs (z < 0.05)
nearby = df[df["redshift"] < 0.05].sort_values("redshift")

# Discoveries per year
per_year = df["discovery_year"].dropna().value_counts().sort_index()
plt.figure(figsize=(10, 5))
plt.bar(per_year.index, per_year.values, color="steelblue")
plt.xlabel("Year")
plt.ylabel("Number of TDEs discovered")
plt.title("TDE Discoveries per Year")
plt.tight_layout()
plt.show()

Data source

https://github.com/astrocatalogs/tidaldisruptions

Related datasets

Citation

@dataset{otter_tde_catalog,
  title = {OTTER TDE Catalog},
  author = {juliensimon},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/otter-tde-catalog},
  publisher = {Hugging Face}
}

License

CC-BY-4.0

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