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This package is a proof of concept for accessing data across multiple scientific disciplines. The requests are structured around the ECV (Essential Variable) vocabulary: [https://vocab.nerc.ac.uk/collection/EXV/current/](https://vocab.nerc.ac.uk/collection/EXV/current/). The package was developed during the EnvriHub Next hackathon in Amsterdam and is funded by the EnvriHub Next (EHN) project.

Project description

ECV-DATA-ACCESS – EnvriHub Next Python Library

ECV-DATA-ACCESS is a proof-of-concept Python package demonstrating parallel data access across multiple scientific disciplines within the Envri-Hub Next project.


📦 Installation from PyPI

pip install ecv-data-access

🛠 Installing for Local Development

If you’re working on the source code, you can install ECV-DATA-ACCESS in editable mode so changes are picked up without reinstallation.

Prerequisites

  • Python 3.x
  • pip available
  • Access to the development repository (e.g., GitLab clone)

Steps

  1. Clone the repository:

    git clone https://gitlab.a.incd.pt/envri-hub-next/ecv-data-access.git
    cd ecv-data-access
    
  2. Install in editable mode:

    pip install -e .
    

💡 Notes

  • On Windows, use forward slashes (/) or escaped backslashes (\\) in paths when necessary (e.g., Git Bash, WSL).

  • Verify installation:

    pip list | findstr ecv-data-access
    

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