HinetPy
A Python package for accessing and processing NIED Hi-net seismic data.
Install / Use
/learn @seisman/HinetPyREADME
.. image:: https://github.com/seisman/HinetPy/actions/workflows/tests.yml/badge.svg :target: https://github.com/seisman/HinetPy/actions/workflows/tests.yml .. image:: https://codecov.io/gh/seisman/HinetPy/branch/main/graph/badge.svg :target: https://codecov.io/gh/seisman/HinetPy .. image:: https://img.shields.io/github/release/seisman/HinetPy.svg :target: https://github.com/seisman/HinetPy/releases .. image:: https://img.shields.io/pypi/v/HinetPy.svg :target: https://pypi.org/project/HinetPy/ .. image:: https://img.shields.io/pypi/pyversions/HinetPy.svg :target: https://pypi.org/project/HinetPy/ .. image:: https://img.shields.io/github/license/seisman/HinetPy.svg :target: https://github.com/seisman/HinetPy/blob/main/LICENSE .. image:: https://joss.theoj.org/papers/10.21105/joss.06840/status.svg :target: https://doi.org/10.21105/joss.06840 .. image:: https://zenodo.org/badge/23509035.svg :target: https://zenodo.org/badge/latestdoi/23509035
NIED Hi-net <https://www.hinet.bosai.go.jp/>__ |
Source Code <https://github.com/seisman/HinetPy>__ |
Documentation <https://seisman.github.io/HinetPy>__ |
中文文档 <https://seisman.github.io/HinetPy/zh_CN/>__
.. placeholder-for-doc-index
HinetPy <https://github.com/seisman/HinetPy>_ is a Python package for accessing and
processing seismic data from NIED Hi-net <https://www.hinet.bosai.go.jp/>__.
Key Features
- Facilitates easy access to NIED Hi-net seismic data, including continuous/event waveform data and event catalogs.
- Supports multiple seismic networks (e.g., F-net, S-net, MeSO-net and more in addition to Hi-net) in Japan.
- Selects a subset of stations based on geographical location or station name (Supports Hi-net, F-net, S-net and MeSO-net only).
- Converts waveform data to SAC format and instrumental responses to SAC polezero files.
- Speeds up the downloading and processing workflow via the use of multithreading.
A simple example
Here is an example showing how to use HinetPy to request continuous waveform data from Hi-net, convert the data into SAC format, and extract instrumental responses as SAC polezero files.
.. code-block:: python
from HinetPy import Client, win32
# You need a Hi-net account to access the data
client = Client("username", "password")
# Let's try to request 20-minute data of the Hi-net network (with an internal
# network code of '0101') starting at 2010-01-01T00:00 (JST, GMT+0900)
data, ctable = client.get_continuous_waveform("0101", "201001010000", 20)
# The request and download process usually takes a few minutes
# waiting for data request ...
# waiting for data download ...
# Now you can see the data and corresponding channel table in your working directory
# waveform data (in win32 format) : 0101_201001010000_20.cnt
# channel table (plaintext file) : 0101_20100101.ch
# Let's convert data from win32 format to SAC format
win32.extract_sac(data, ctable)
# Let's extract instrument response as PZ files from the channel table file
win32.extract_sacpz(ctable)
# Now you can see several SAC and SAC_PZ files in your working directory
# N.NGUH.E.SAC N.NGUH.U.SAC N.NNMH.N.SAC
# N.NGUH.N.SAC N.NNMH.E.SAC N.NNMH.U.SAC
# ...
# N.NGUH.E.SAC_PZ N.NGUH.U.SAC_PZ N.NNMH.N.SAC_PZ
# N.NGUH.N.SAC_PZ N.NNMH.E.SAC_PZ N.NNMH.U.SAC_PZ
# ...
Citation
If you find this package useful, please consider citing the package in either of the following ways:
Cite the HinetPy paper (preferred)
A formal paper is published on The Journal of Open Source Software <https://joss.theoj.org/>__
since HinetPy v0.9.0. This is the preferred way for citation.
Tian, D. (2024). HinetPy: A Python package for accessing and processing NIED Hi-net seismic data.
Journal of Open Source Software, 9(98), 6840. https://doi.org/10.21105/joss.06840
Cite a specific HinetPy version
If you'd like to cite a specific HinetPy version, you can visit
Zenodo <https://zenodo.org/records/12523911>__, choose the version you want to cite,
and cite like this:
Tian, D. (20XX). HinetPy: A Python package for accessing and processing NIED Hi-net seismic data (X.X.X).
Zenodo. https://doi.org/10.5281/zenodo.xxxxxxxx
Contributing
Feedback and contributions are welcome! Please feel free to open an issue or pull request if you have any suggestions or would like to contribute a feature. For additional information or specific questions, please open an issue directly.
License
This project is licensed under the terms of the MIT license.
Related Skills
node-connect
350.1kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
claude-opus-4-5-migration
109.9kMigrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5
frontend-design
109.9kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
model-usage
350.1kUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
