Seismic low-velocity equatorial torus in the Earth's outer core: Evidence from the late-coda correlation wavefield

Thermochemical inhomogeneities in the Earth's outer core that enhance our understanding of the geodynamo have been elusive. Seismic constraints on such inhomogeneities would provide clues on the amount and distribution of light elements in the core apart from iron and nickel. Here, we present evidence for a low-velocity volume within the outer core via the global coda-correlation wavefield. The dataset in this study include about 9-hour long waveform in SAC format between the year 2000 and 2021. Firstly we selected the waveforms in the time window 3-9 hours after the event origin time. We applied the temporal normalization and spectral whitening methods to seismograms of all receivers and calculated cross-correlations by multiplying the whitened spectrum of one receiver with the complex conjugate spectrum of another. Then the spectral cross-correlations were inversely Fourier transformed and folded at the time zero to yield cross-correlation functions in the time domain. Subsequently, t..., , , # Data from: Seismic low-velocity equatorial torus in the Earth's outer core: Evidence from the late-coda correlation wavefield

**Description**

We obtained the vertical component seismograms recorded at global seismic stations from large earthquakes with Mw ≥ 6.8 between 2000 and 2021. The raw data in the SAC (Seismic Analysis Code) format are compressed chronologically from 2000 to 2021. The unit of amplitude measurement is in meter. The description for variables in SAC format can be found here [http://ds.iris.edu/files/sac-manual/](http://ds.iris.edu/files/sac-manual/)

delta: sampling rate is 1 Hz

npts: 33000 data points

The data are compatible with the CC0 license waiver.

**Key information**

This raw dataset is used in our study \"Seismic low-velocity equatorial torus in the Earth's outer core: Evidence from the late-coda correlation wavefield\".

**Code/Software**

All the raw data were downloaded using obspyDMT ([https://github.com/kasra-hosseini/obspyDMT](https://github.com/k...