This repository contains Distributed Acoustic Sensing (DAS) datasets for PhaseNet-DAS. The DAS event format is explained here: Seismic Event Format for DAS.

Datasets

Arcata

The "arcata" dataset is from the Arcata, California, Distributed Acoustic Sensing (DAS) experiment: 2022 M6.4 Ferndale Aftershock Sequence and the Spring 2022 Arcata to Eureka California, DAS experiment.

Period: December 22, 2022 – December 31, 2024
Equipment: Luna QuantX DAS interrogator installed at the Arcata Police Station, connected to fiber-optic telecommunications infrastructure owned by Vero Communications running between Arcata and Eureka, California
Institutions: U.S. Geological Survey (USGS), Cal Poly Humboldt University, Luna Inc.
Files: 2,470 event files, named by timestamp (YYYYMMDDTHHMMSSZ.h5)

This dataset was collected by Jeffrey J. McGuire, Andrew J. Barbour, Connie Stewart, Victor Yartsev, Martin Karrenbach, Mark Hemphill-Haley, Robert C. McPherson, Theresa Sawi, and Clara E. Yoon. Please inform the authors if you utilize this dataset in your research.

Related publication:

McGuire, J.J., Barbour, A.J., Stewart, C., Yartsev, V., Karrenbach, M., Hemphill-Haley, M., McPherson, R.C., Stockdale, K., Yoon, C.E., and Sawi, T., 2025, The GorDAS Distributed Acoustic Sensing Experiment Above the Cascadia Locked Zone and Subducted Gorda Slab. Seismological Research Letters, 96(4): 2489–2503. doi:10.1785/0220240415

Ridgecrest

The "ridgecrest_north" dataset is extracted from The SCEDC Earthquake Data AWS Public Dataset.

Files: 751 event files, named by event ID (ci########.h5)

This dataset is collected by Prof. Zhongwen Zhan (zwzhan@caltech.edu). Please inform the authors if you utilize this dataset in your research.

Data Format

Each .h5 file follows the DAS Seismic Event Format and contains:

data: 2D float32 array with shape (nch, nt) — DAS waveform data in microstrain/s
Attributes on the data dataset:

Attribute	Type	Description
`event_id`	str	Earthquake identifier
`event_time`	str	Origin time
`begin_time`	str	Window start time
`end_time`	str	Window end time
`latitude`	float	Epicenter latitude
`longitude`	float	Epicenter longitude
`depth_km`	float	Depth below surface (km)
`magnitude`	float	Seismic magnitude
`magnitude_type`	str	Magnitude scale
`dt_s`	float	Temporal sampling interval (s)
`dx_m`	float	Spatial channel spacing (m)
`unit`	str	Data measurement unit

Note: Some files (especially in the arcata subset) may have missing event attributes (e.g., location, magnitude).

Usage

Requirements

h5py
numpy
huggingface_hub

Iterate over events

example.py provides DASDataset (a PyTorch Dataset) and helper functions. Files are downloaded on first access and cached locally:

from example import DASDataset

dataset = DASDataset("ridgecrest_north")
event = dataset[0]
print(event["data"].shape, event["event_id"], event["magnitude"])

Use with PyTorch DataLoader

from example import DASDataset
from torch.utils.data import DataLoader

dataset = DASDataset("arcata", max_events=100)
dataloader = DataLoader(dataset, batch_size=1, shuffle=True, num_workers=0)

for batch in dataloader:
    print(batch["data"].shape)
    break

Download a single file

import h5py
from huggingface_hub import hf_hub_download

filepath = hf_hub_download("AI4EPS/quakeflow_das", "arcata/data/20221223T043657Z.h5", repo_type="dataset")

with h5py.File(filepath, "r") as f:
    data = f["data"][:]  # shape: (nch, nt)
    print(f"Waveform shape: {data.shape}")
    for key, val in f["data"].attrs.items():
        print(f"{key}: {val}")

Citation

If you use this dataset, please cite:

@article{zhu2023phasenet_das,
  title={Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning},
  author={Zhu, Weiqiang and Biondi, Ettore and Li, Jiaxuan and Yin, Jiuxun and Ross, Zachary E. and Zhan, Zhongwen},
  journal={Nature Communications},
  volume={14},
  pages={8192},
  year={2023},
  doi={10.1038/s41467-023-43355-3}
}

@misc{mcguire2024arcata_das,
  title={Arcata, California, Distributed Acoustic Sensing (DAS) experiment: 2022 M6.4 Ferndale Aftershock Sequence (ver. 3.0, February 2026)},
  author={McGuire, J.J. and Barbour, A.J. and Stewart, C. and Yartsev, V. and Karrenbach, M. and Hemphill-Haley, M. and McPherson, R.C. and Sawi, T. and Yoon, C.E.},
  year={2024},
  publisher={U.S. Geological Survey},
  doi={10.5066/P1V7CKGA}
}

@article{mcguire2025gordas,
  title={The GorDAS Distributed Acoustic Sensing Experiment Above the Cascadia Locked Zone and Subducted Gorda Slab},
  author={McGuire, J.J. and Barbour, A.J. and Stewart, C. and Yartsev, V. and Karrenbach, M. and Hemphill-Haley, M. and McPherson, R.C. and Stockdale, K. and Yoon, C.E. and Sawi, T.},
  journal={Seismological Research Letters},
  volume={96},
  number={4},
  pages={2489--2503},
  year={2025},
  doi={10.1785/0220240415}
}

@article{gou2025leveraging,
  title={Leveraging submarine DAS arrays for offshore earthquake early warning: A case study in Monterey Bay, California},
  author={Gou, Yuancong and Allen, Richard M and Zhu, Weiqiang and Taira, Taka'aki and Chen, Li-Wei},
  journal={Bulletin of the Seismological Society of America},
  volume={115},
  number={2},
  pages={516--532},
  year={2025},
  publisher={Seismological Society of America}
}

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