Skip to main content

Read audio data for an event, process it, and create an exportable product.

Project description

UH_Soundscapes

Open-access infrasound-adjacent soundscapes

Annotated openly-available low-frequency audio libraries of rocket [1], explosion [2], and hypersonic [3] signatures are provided. We use a decimated version of the Environmental Sound Classification dataset [4] to provide a validated noise vocabulary. Although the data sources vary, a majority are from smartphone and publicly available recordings. The event types are described in open-access published papers [4-9], and a Python open-source repository was developed for accessing, standardizing, and processing the curated data and metadata [10-11]. This work was funded by the Department of Energy National Nuclear Security Administration under Awards DE-NA0003920 (MTV) and DE-NA0003921 (ETI).

Main files in HIGP data repository [11]:

  • ASTRA.pkl
  • SHAReD.pkl
  • OREX_UH_800Hz.pkl
  • ESC50_800Hz.pkl
  • ESC50_8kHz.pkl
  • ESC50_16kHz.pkl

Installation

Use pip:

pip install uh-soundscapes

Overview of essential data fields included in the datasets:

Signal source Signal duration Source locations included Station locations included
ASTRA.pkl Rocket launches, 800Hz Various (5-10 minutes) All All
SHAReD.pkl Explosions and ambient, 800Hz and 8kHz 0.96 seconds Some Some
OREX_UH_800Hz.pkl Hypersonic atmospheric reentry, 800Hz 1.28 seconds None* All
ESC50_800Hz.pkl Environmental sounds (50 classes), downsampled to 800 Hz 5 seconds None None
ESC50_8kHz.pkl Environmental sounds (50 classes), downsampled to 8 kHz 5 seconds None None
ESC50_16kHz.pkl Environmental sounds (50 classes), downsampled to 16 kHz 5 seconds None None
*Source locations are not known, but can be estimated from OSIRIS-REx trajectory data.

References

  1. Popenhagen, S.K. (2025). Aggregated Smartphone Timeseries of Rocket-Generated Acoustics (ASTRA). https://doi.org/10.7910/DVN/ZKIS2K (accessed on 21 August 2025).
  2. Takazawa, S.K. (2024) Smartphone High-Explosive Audio Recordings Dataset (SHAReD). Available online: https://doi.org/10.7910/DVN/ROWODP (accessed on 21 August 2025).
  3. Silber, E.A.; Bowman, D.C.; Carr, C.G.; Eisenberg, D.P.; Elbing, B.R.; Fernando, B.; Garcés, M.A.; et al. Geophysical Observations of the 2023 September 24 OSIRIS-REx Sample Return Capsule Reentry. Planet. Sci. J. 2024, 5, 213; https://doi.org/10.3847/PSJ/ad5b5e.
  4. K. J. Piczak. ESC: Dataset for Environmental Sound Classification. In Proceedings of the 23rd ACM international conference on multimedia, pp. 1015-1018, ACM, 2015. Paper available in GitHub Repository https://github.com/karolpiczak/ESC-50 (accessed on 21 August 2025).
  5. Popenhagen, S.K.; Takazawa, S.K.; Garcés, M.A. Rocket Launch Detection with Smartphone Audio and Transfer Learning. Signals 2025, 6, 41; https://doi.org/10.3390/signals6030041.
  6. Popenhagen, S.K.; Garcés, M.A. Acoustic Rocket Signatures Collected by Smartphones. Signals, 2025, 6, 5; https://doi.org/10.3390/signals6010005.
  7. Takazawa, S.K.; Popenhagen, S.K.; Ocampo Giraldo, L.A.; Hix, J.D.; Thompson, S.J.; Chichester, D.L.; Zeiler, C.P.; Garcés, M.A. Explosion Detection using Smartphones: Ensemble Learning with the Smartphone High-explosive Audio Recordings Dataset and the ESC-50 Dataset. Sensors, 2024, 24(20), 6688; https://doi.org/10.3390/s24206688.
  8. Takazawa, S.K.; Popenhagen, S.K.; Ocampo Giraldo, L.A.; Cárdenas, E.S.; Hix, J.D.; Thompson, S.J.; Chichester, D.L.; Garcés, M.A. A comparison of smartphone and infrasound microphone data from a fuel air explosive and a high explosive. J. Acoust. Soc. Am. 2024, 156, 1509-1523; https://doi.org/10.1121/10.0028379.
  9. KC, R. J; Wilson, T; Fox, D; Spillman K.; Garcés M.A.; Elbing B. R. Acoustic Observations of the OSIRIS-REx Sample Return Capsule Re-Entry from Wendover Airport. Seism. Res. Lett. 2025 XX, 1–14; https://doi.org/10.1785/0220250019.
  10. UH_Soundscapes, this repository.
  11. UH_Soundscapes, aggregated data at https://www.higp.hawaii.edu/archive/isla/UH_Soundscapes/

Troubleshooting

ModuleNotFoundError

If you use VSCode, there may be issues with module imports. You'll need to add the line

"terminal.integrated.env.OSVERSION": {"PYTHONPATH": "${workspaceFolder}"}

to your user.settings.json. OSVERSION is one of: windows, linux, or osx.

You can access the file via the title bar the top of the screen: View -> Command Palette, then choosing Open User Settings (JSON). Add the line above on a new line before the closing brace. You'll have to add a comma to the previous last line of the file, if any.

Once the line is added, your imports should work correctly. If you still have issues, try restarting VS Code.

Example for Windows version (replace with env.osx for Mac):

{
    "files.autoSave": "afterDelay",
    "git.confirmSync": false,
    "terminal.integrated.env.windows": {"PYTHONPATH": "${workspaceFolder}"}
}

pip Timeouts

Some dependencies may not install due to timeouts over VPNs or firewalls. To resolve this, try running

pip --timeout=10000 install 'package_name'

or any arbitrarily large number for the timeout value.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

uh_soundscapes-1.1.1.tar.gz (30.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

uh_soundscapes-1.1.1-py3-none-any.whl (32.3 kB view details)

Uploaded Python 3

File details

Details for the file uh_soundscapes-1.1.1.tar.gz.

File metadata

  • Download URL: uh_soundscapes-1.1.1.tar.gz
  • Upload date:
  • Size: 30.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.16

File hashes

Hashes for uh_soundscapes-1.1.1.tar.gz
Algorithm Hash digest
SHA256 b488c1abf6828664ce78d719b2685c5e8b88a1c1faa6446e1ac6cef34599b8f9
MD5 b8b833e3b07d215a15f26ff64464140c
BLAKE2b-256 a474c4410d383c56855c392af9d665072c937621156cd6e5f37793c4db1d5e4a

See more details on using hashes here.

File details

Details for the file uh_soundscapes-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: uh_soundscapes-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 32.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.16

File hashes

Hashes for uh_soundscapes-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 805b484187297348f981e16e5418955dcbdbc42ecd1fe9472f7dfd10bc1f1550
MD5 fffa3847b5ddb7abf5e1df355fe6e600
BLAKE2b-256 00c5701417ec6f6c477f29be876599ae335a929f34103a01f252835bc1ac61bf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page