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
pipavailable- Access to the development repository (e.g., GitLab clone)
Steps
-
Clone the repository:
git clone https://gitlab.a.incd.pt/envri-hub-next/ecv-data-access.git cd ecv-data-access
-
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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