SciCat Data Search and Visualization Notebook 📊🔬

This repository provides a Jupyter Notebook for searching the SciCat data catalog at the European Spallation Source (ESS) and visualizing neutron data using Python libraries.

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Features ✨

• SciCat Data Search: Query the data catalog for neutron datasets.
• Data Visualization: Plot and analyze neutron data directly in Jupyter.
• Interactive Workflow: Combines data exploration and visualization in one environment.

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Prerequisites 🛠️

• Python 3.8+
• Jupyter Notebook installed.
• Required libraries:
  • requests
  • matplotlib
  • numpy
  • pandas

Install dependencies:
pip install requests matplotlib numpy pandas jupyter

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Installation

1. Clone the repository:
   git clone https://github.com/your-username/scicat-neutron-visualization.git
   cd scicat-neutron-visualization

2. Install dependencies:
   pip install -r requirements.txt

3. Start Jupyter Notebook:
   jupyter notebook

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Usage 🔧

1. Open the neutron_visualization.ipynb notebook in Jupyter.
2. Configure the SciCat API details in the notebook.
3. Run the cells to:
   • Search for neutron datasets.
   • Plot neutron data using Python visualization libraries.

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File Structure 📂

• neutron_visualization.ipynb: Main Jupyter Notebook for data search and visualization.
• requirements.txt: List of dependencies.
• README.md: Documentation for the repository.

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Example Commands

• Start Jupyter Notebook:
  jupyter notebook

• Install required dependencies:
  pip install -r requirements.txt

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Contributing 🤝

1. Fork the repository.

2. Create a new branch:
   git checkout -b feature/your-feature

3. Commit your changes:
   git commit -m "Add your feature"

4. Push the branch:
   git push origin feature/your-feature

5. Open a pull request.

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License 📝

This project is licensed under the MIT License. See the LICENSE file for details.

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Easily search and visualize neutron datasets with this Jupyter Notebook! 📊🔬