{"id":21133607,"url":"https://github.com/yuweaec/project-scidatapipeline","last_synced_at":"2026-04-27T17:04:18.370Z","repository":{"id":243094866,"uuid":"811451568","full_name":"YuweAEC/project-SciDataPipeline","owner":"YuweAEC","description":"A comprehensive toolkit for processing, simulating, and analyzing scientific data, integrating Python, Fortran, and Jupyter notebooks for seamless workflows.","archived":false,"fork":false,"pushed_at":"2024-06-25T17:28:42.000Z","size":376,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-01-01T20:19:07.756Z","etag":null,"topics":["analysis","data","pipeline","processing","scientific","simulation"],"latest_commit_sha":null,"homepage":"https://github.com/YuweAEC/project-SciDataPipeline","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/YuweAEC.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-06T16:10:38.000Z","updated_at":"2024-09-26T19:07:45.000Z","dependencies_parsed_at":"2025-01-21T06:34:37.331Z","dependency_job_id":null,"html_url":"https://github.com/YuweAEC/project-SciDataPipeline","commit_stats":null,"previous_names":["yuweaec/project-prac-new"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/YuweAEC/project-SciDataPipeline","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YuweAEC%2Fproject-SciDataPipeline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YuweAEC%2Fproject-SciDataPipeline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YuweAEC%2Fproject-SciDataPipeline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YuweAEC%2Fproject-SciDataPipeline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/YuweAEC","download_url":"https://codeload.github.com/YuweAEC/project-SciDataPipeline/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YuweAEC%2Fproject-SciDataPipeline/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32345861,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T23:26:28.701Z","status":"online","status_checked_at":"2026-04-27T02:00:06.769Z","response_time":128,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analysis","data","pipeline","processing","scientific","simulation"],"created_at":"2024-11-20T06:14:15.946Z","updated_at":"2026-04-27T17:04:18.362Z","avatar_url":"https://github.com/YuweAEC.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Scientific Data Processing and Analysis Project\n\n## Table of Contents\n\n1. [Overview](#overview)\n2. [Project Structure](#project-structure)\n3. [Installation](#installation)\n4. [Usage](#usage)\n5. [Contributing](#contributing)\n6. [License](#license)\n\n## Overview\n\nThis project processes and analyzes scientific data from various datasets. It includes data processing scripts, simulation code, and analysis notebooks. The primary goal is to provide a robust framework for  handling scientific data, running simulations, and visualizing results. The project is designed to be modular and easily extensible for future developments.\n\nFor a detailed overview, see [PROJECT_OVERVIEW.md](PROJECT_OVERVIEW.md).\n\n## Project Structure\n\n```\n├── data\n│   ├── base.dat\n│   └── data.dat\n├── docs\n│   ├── documents.doc\n│   └── newdocs.doc\n├── notebooks\n│   ├── code.ipynb\n│   └── new.ipynb\n├── src\n│   ├── csrc.b\n│   ├── hello.f\n│   └── sourcecode.b\n├── test\n│   ├── testing.s\n│   └── tests.s\n├── .gitignore\n├── LICENSE\n├── README.md\n├── requirements.txt\n├── setup.py\n```\n\n- **assets**: Contains image assets for the project.\n  - `readme_image.png`: An example image used in the README.\n- **data**: Contains data files required for the project.\n  - `base.dat`: An additional data file for base values.\n  - `data.dat`: The main data file.\n- **docs**: Contains documentation files.\n  - `documents.doc`: Detailed project documentation.\n  - `newdocs.doc`: Additional documentation.\n- **notebooks**: Contains Jupyter notebooks for exploration and analysis. \n  - `code.ipynb`: Main notebook for running the code.\n  - `new.ipynb`: Additional notebook for further analysis.\n- **src**: Contains the source code of the project.\n  - `csrc.b`: Bash script to compile and run Fortran code.\n  - `hello.f`: Fortran source code for simulations.\n  - `sourcecode.b`: Main script for data processing.\n- **test**: Contains tests for the project.\n  - `testing.s`: Test script for data processing.\n  - `tests.s`: Additional test script.\n- **.gitignore**: Specifies files and directories to be ignored by git.\n- **LICENSE**: License for the project.\n- **README.md**: This file, providing an overview of the project.\n- **requirements.txt**: List of dependencies required for the project.\n- **setup.py**: Script for installing the project.\n\n## Installation\n\nFollow these instructions to set up the project on your local machine:\n\n1. **Clone the repository**:\n    ```sh\n    git clone https://github.com/yourusername/yourproject.git\n    ```\n2. **Navigate to the project directory**:\n    ```sh\n    cd yourproject\n    ```\n3. **Create a virtual environment** (optional but recommended):\n    ```sh\n    python3 -m venv venv\n    source venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n    ```\n4. **Install the required dependencies**:\n    ```sh\n    pip install -r requirements.txt\n    ```\n\n## Usage\n\nHere are some examples and instructions on how to use the project.\n\n### Processing Data\n\nRun the main script to process the data:\n\n```sh\nbash src/sourcecode.b\n```\n\n### Running Fortran Simulation\n\nCompile and run the Fortran simulation:\n\n```sh\nbash src/csrc.b\n```\n\n### Running Jupyter Notebooks\n\nTo analyze the data using Jupyter Notebooks, run:\n\n```sh\njupyter notebook notebooks/code.ipynb\n```\n\n## Contributing\n\nWe welcome contributions! Please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch (`git checkout -b feature-branch`).\n3. Make your changes.\n4. Commit your changes (`git commit -am 'Add new feature'`).\n5. Push to the branch (`git push origin feature-branch`).\n6. Create a new Pull Request.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\n\nFeel free to further customize this README file to better suit your project's specific details and requirements.\n\n---\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyuweaec%2Fproject-scidatapipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyuweaec%2Fproject-scidatapipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyuweaec%2Fproject-scidatapipeline/lists"}