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A Python package to request and process seismic waveform data from NIED Hi-neta

Project description

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NIED Hi-net | Source Code | Documentation | 中文文档


HinetPy is a Python package to request and process seismic data from NIED Hi-net.

Features

  • Request continuous/event waveform data and event catalog from NIED Hi-net

  • Support networks like Hi-net, F-net, V-net, S-net and more

  • Select Hi-net/F-net stations based on different criteria

  • Convert waveform data from win32 format to SAC format

  • Extract instrumental response as SAC polezero file

  • Multithreads downloading and conversion to speedup

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.

#!/usr/bin/env python
# -*- coding: utf-8 -*-

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

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License

This project is licensed under the terms of the MIT license.

Project details


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