https://github.com/aradfarahani/seismology
This collection of scripts is designed to assist seismologists and geophysicists in their research and data analysis. Whether you’re processing seismic data, visualizing waveforms, or performing complex analyses, these tools will help streamline your workflow.
https://github.com/aradfarahani/seismology
geophysics machine-learning seismic-data seismology
Last synced: 8 months ago
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This collection of scripts is designed to assist seismologists and geophysicists in their research and data analysis. Whether you’re processing seismic data, visualizing waveforms, or performing complex analyses, these tools will help streamline your workflow.
- Host: GitHub
- URL: https://github.com/aradfarahani/seismology
- Owner: aradfarahani
- License: mit
- Created: 2024-08-05T20:42:11.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-19T12:45:17.000Z (about 1 year ago)
- Last Synced: 2024-10-19T14:37:37.620Z (about 1 year ago)
- Topics: geophysics, machine-learning, seismic-data, seismology
- Language: Jupyter Notebook
- Homepage:
- Size: 7.26 MB
- Stars: 12
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Seismology
[](https://www.codefactor.io/repository/github/aradfarahani/seismology)
**Coming Soon! Stay tuned for exciting updates!**
Welcome to the **Seismology** repository! This project explores the intersection of machine learning and seismology, providing tools and resources to analyze seismic data, enhance earthquake detection, and improve event characterization.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Data Sources](#data-sources)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Acknowledgements](#acknowledgements)
## Introduction
The **Seismology** project harnesses the power of machine learning to revolutionize seismic data analysis. Our mission is to develop robust algorithms and tools that improve the accuracy, efficiency, and scalability of earthquake detection and seismic event characterization, benefiting researchers, scientists, and disaster preparedness efforts worldwide.
## Features
- **Data Preprocessing**: Streamlined tools for cleaning, formatting, and preparing seismic datasets.
- **Machine Learning Models**: State-of-the-art ML implementations for detecting and classifying seismic events.
- **Visualization**: Interactive and insightful visualizations of seismic data and model predictions.
- **Benchmarking**: Standardized evaluation metrics and benchmarks to assess model performance.
## Data Sources
This project leverages the following publicly available datasets:
- **[ObsPy Seismic Data](https://examples.obspy.org/RJOB_061005_072159.ehz.new)**: Sample seismic waveforms for testing and development.
- **[USGS Earthquake Data](https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/2.5_month.csv)**: Real-time and historical earthquake records (magnitude 2.5+ over the past month).
Additional datasets may be integrated as the project evolves—stay tuned!
## Installation
To set up the **Seismology** project locally, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/aradfarahani/Seismology.git
cd Seismology
```
2. Install dependencies (requirements will be added soon—check back for updates!):
```bash
pip install -r requirements.txt
```
3. Verify the setup (instructions forthcoming as the project develops).
## Usage
Detailed usage instructions will be provided once the core functionality is released. For now, explore the repository structure and sample data to get familiar with the project. Example workflows and scripts will be added in upcoming updates.
## Contributing
We warmly welcome contributions from the community! To contribute:
1. Fork the repository.
2. Create a feature branch:
```bash
git checkout -b feature/your-feature-name
```
3. Implement your changes.
4. Commit your work:
```bash
git commit -m "Add your concise commit message"
```
5. Push to your branch:
```bash
git push origin feature/your-feature-name
```
6. Submit a pull request via GitHub.
Please adhere to the [Contributor Covenant Code of Conduct](https://www.contributor-covenant.org/version/2/0/code_of_conduct/) to ensure a collaborative and inclusive environment.
## License
This project is licensed under the [MIT License](LICENSE). See the [LICENSE](LICENSE) file for details.
## Acknowledgements
A heartfelt thank you to:
- The open-source community for their invaluable tools and inspiration.
- Contributors who are helping shape this project.
- Organizations like [ObsPy](https://obspy.org/) and the [USGS](https://www.usgs.gov/) for providing accessible seismic data.
Stay tuned for more updates as we continue to build and refine **Seismology**!