Welcome to UTDQuake
University of Texas at Dallas Earthquake Dataset
A global earthquake dataset constructed from high-quality source and receiver metadata, including associated seismic phase picks across diverse station geometries.
See Dataset section for details on how to access network data, events, stations, and picks. Next table shows the network data:
Why this dataset matters?
Curated datasets of earthquake events and phase picks are essential for modern seismology, especially in the AI era. While waveform datasets have advanced earthquake detection, multistation picks provide complementary information crucial for phase association and earthquake location.
This dataset offers structured event catalogs, station metadata, and phase picks across networks, supporting reproducible research and the development of data-driven seismological methods.
Access the Dataset
Hugging Face Dataset
The complete UTDQuake dataset is publicly available on Hugging Face, where it can be easily explored and downloaded:
GitHub Repository
The source code, documentation, and additional resources are hosted on GitHub:
Installation & Usage
To install the
UTDQuakePython library and begin working with the dataset programmatically, follow the instructions in the Installation & Configuration.A step-by-step quickstart guide, including examples for accessing, analyzing, and visualizing the data, can be found in the Quickstart.
For complete technical details about all available modules, classes, and functions, see the API Reference.
Quick Overview
The following animation summarizes the overview figure for some of all available networks. All figures and analyses are available in the Overview section.
We offer different type of figures for each network to help users better understand the data.
Overview |
Stats |
P & S Picks Analysis |
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Magnitude & Phases Analysis |
Uncertainty in station location |
Uncertainty in EQ location |
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General Travel Time Overview |
Travel Time |
Travel Time Zscore |
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All figures and analyses are available in the Overview section.