nvcl_kit: Access AuScope National Virtual Core Library (NVCL) data services

nvcl_kit build, test, pages

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pdm-managed

Binder

Introduction

nvcl_kit is a Python package that provides access to Australia's NVCL (National Virtual Core Library). This is a national database of drill cores that have been analysed by the CSIRO-developed HyLogger hyperspectral core-scanning system. The Hylogger system uses visible and near-infrared, shortwave and thermal infrared reflectance spectroscopy and automatic mineralogical analysis to extract mineralogy data from each drill core.

The mineralogy data is maintained by Australia's State and Territory geological surveys and can be accessed via publicly available web services. nvcl_kit combines these services with OCG WFS borehole data to provide a complete picture of each borehole. It is designed to shield the user from the arcane details of how to establish connections, retrieve and combine datasets.

nvcl_kit has two layers of API. The first layer is designed to make it quick and easy to access the borehole mineralogy. The second layer is for more expert users providing access to the full range of available data products.

More Information

AuScope NVCL - Australia’s mineralogy database

Hylogger-3

How to use it

  1. A brief API tutorial is here
  2. Example Jupyter Notebooks are available to try, open this Binder and go to "notebooks" folder
  3. There is a rough demonstration script here
  4. API documentation can be found here

License

nvcl_kit is available under CSIRO Open Source Software Licence Agreement (variation of the BSD / MIT License)

Citation

If you use this package in your research please cite:

Fazio, Vincent; Mule, Shane; Hunt, Alex; Jiang, Lingbo; Warren, Peter; Selvaraju, Venkataramanan (2024): nvcl_kit: Access AuScope National Virtual Core Library (NVCL) data services. v6. CSIRO. Service Collection. http://hdl.handle.net/102.100.100/480016?index=1

Project links

Data verified by PyPI on Aug 4, 2026
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  • Released:
Newer release available (1.3.5)

3 maintainers

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Avatar for hun220 from gravatar.com hun220 Avatar for PeterWarren from gravatar.com PeterWarren Avatar for vfazio from gravatar.com vfazio

Credits

Author: Vincent Fazio

GitHub Statistics

Data verified by PyPI on Aug 4, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

BSD License (CSIRO BSD/MIT)

Requires

Python >=3.9

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