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A ML-ready curated data set for a wide range of seismic signals from Pacific Northwest

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Pacific Northwest Curated Seismic Dataset

DOI License: MIT

A ML-ready curated data set for a wide range of sources from the Pacific Northwest.

map

Overview

Each dataset has two files: waveform and metadata. All follow the structure of seisbench format. See here to learn more about the file structure. Download using the link below. Note that you may access the data directly from Google Colab. See Google Colab section below.

Datasets

We are making two copies of the raw dataset: one on Google Drive, another on UW ESS server. Choose the one that gives you the best download performance. The ComCat dataset is also available through SeisBench.

1. ComCat Events

2. Noise Waveform (EH, BH, and HH)

3. Exotic Events (EH, BH, and HH)

4. Northern California Sequence (December 2022)

5. ML-enhanced catalog

A quick tour to dataset

Here are several ways to check or use PNW dataset quick.

  1. Jupyter Notebook

A jupyter notebook is available to load and plot PNW dataset at here. Download and run it on a local machine to enable the interactive plotting (e.g., zoom in/out for checking the picks). You would need to download the full dataset to the local.

  1. Google Colab Open In Colab

If you are more familiar with Google Colab, go to the link above. Note that interactive plotting is not available on Colab.

  1. We also provide a mini version of the dataset, which contains 500 earthquake streams, 500 explosion streams, 500 surface event streams, 126 sonic boom streams, and 94 thunder quake streams.

Metadata

Attribute Description Example
event_id Event identifier uw10564613
source_origin_time Source origin time in UTC 2002-10-03T01:56:49.530000Z
source_latitude_deg - 48.553
source_longitude_deg - -122.52
source_type - earthquake
source_type_pnsn_label PNSN AQMS event type eq
source_depth_km - 14.907
source_magnitude_preferred - 2.1
source_magnitude_type_preferred - Md
source_magnitude_uncertainty_preferred - 0.03
source_local/duration/hand_magnitude Ml, Md, and Mh if available 1.32
source_local/duration_magnitude_uncertainty magnitude uncertainty if available 0.15
source_depth_uncertainty_km - 1.69
source_horizontal_uncertainty_km - 0.694
station_network_code FDSN network code UW
station_code FDSN station code GNW
station_location_code FDSN location code 01
station_channel_code FDSN channel code (first two digits) BH
station_latitude_deg - 47.5641
station_longitude_deg - -122.825
station_elevation_m - 220.0
trace_name Bucket and array index bucket1$0,:3:15001
trace_sampling_rate_hz All traces resampled to 100 Hz 100
trace_start_time Trace start time in UTC 2002-10-03T01:55:59.530000Z
trace_P/S_arrival_sample Closest sample index of arrival 8097
trace_P/S_arrival_uncertainty_s Picking uncertainty in second 0.02
trace_P/S_onset - emergent
trace_P_polarity P-wave onset polarity positive, negative, or undecidable
trace_has_offset Any visible offset in the trace 1
trace_missing_channel Number of missing channel of the trace 2
trace_snr_db SNR for each component 6.135

Reference

Ni, Y., Hutko, A., Skene, F., Denolle, M., Malone, S., Bodin, P., Hartog, R., & Wright, A. (2023). Curated Pacific Northwest AI-ready Seismic Dataset. Seismica, 2(1). https://doi.org/10.26443/seismica.v2i1.368

BiBTex:

@article{Ni_Hutko_Skene_Denolle_Malone_Bodin_Hartog_Wright_2023, 
  title   = {Curated Pacific Northwest AI-ready Seismic Dataset}, 
  volume  = {2}, 
  url     = {https://seismica.library.mcgill.ca/article/view/368}, 
  number  = {1}, 
  journal = {Seismica}, 
  author  = {Ni, Yiyu and Hutko, Alexander and Skene, Francesca and Denolle, Marine and Malone, Stephen and Bodin, Paul and Hartog, Renate and Wright, Amy}, 
  year    = {2023}, 
  month   = {May},
  doi     = {10.26443/seismica.v2i1.368}, 
}

Known issue

  • [Agu 25, 2023] Very few events (~15) in the ComCat dataset may have inconsistent event_type_pnsn_label and event_type. This issue comes from the outdated ComCat event metadata. Please prioritize PNSN label when such inconsistent occurs.

Report bugs

If you find anything wrong with this dataset, please create an Issue at https://github.com/niyiyu/PNW-ML/issues or send me an email (niyiyu@uw.edu)