ecv-data-access 0.1.0

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.

EHNPY – EnvriHub Next Python Library

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

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📦 Installation from PyPI

pip install ehnpy

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🛠 Installing for Local Development

If you’re working on the source code, you can install EHNPY 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/ehnpy.git
   cd ehnpy
   

2. Install in editable mode:

   pip install -e .
   

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💡 Notes

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

• Verify installation:

  pip list | findstr ehnpy
  

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