Infrasound Analysis Tool

This Python program is designed to retrieve and process infrasound data from the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) database for analysis. The provided script run_infrasound_analysis.py allows for the creation of request files (.req) based on specified station IDs and dates, and then executes these requests using the nms_client.sh script to obtain raw data in MiniSEED format (.mseed). Requirements

Python 3.x
Access to CTBTO API for data retrieval

Setup

Clone the repository:

bash

git clone https://github.com/your_username/infrasound-analysis.git cd infrasound-analysis

Install required dependencies:

bash

pip install requests

Obtain an API key from the CTBTO Preparatory Commission to access their data.

Usage

Data Retrieval Script: run_infrasound_analysis.py
    This script reads a list of dates from a CSV file (viena.csv) and generates request files (*.req) for specified infrasound stations and dates.
    Usage:

    bash

python run_infrasound_analysis.py

Generated Requests

Request files (*.req) will be created for each specified station and date, containing necessary information to retrieve infrasound data.

Data Retrieval

Execute the nms_client.sh script to retrieve data based on the generated requests:

bash

    bash run_nmsclient.sh

File Structure

run_infrasound_analysis.py: Main script for generating request files and executing data retrieval.
viena.csv: CSV file containing dates for data requests.
run_nmsclient.sh: Bash script to execute nms_client.sh for each generated request.
nms_client.sh: CTBTO client script to retrieve infrasound data.
data/: Directory to store retrieved MiniSEED data files.

Example

Ensure viena.csv is populated with desired dates.
Run the script:

bash

python run_infrasound_analysis.py

Execute the data retrieval:

bash

bash run_nmsclient.sh

Configuration

Update viena.csv with the required dates for infrasound data retrieval.
Modify station IDs (station) and file paths in run_infrasound_analysis.py as needed.

License

This project is licensed under the MIT License. Contact

For any inquiries or support, please contact arthursmacedo@usp.br.