Metadata-Version: 2.5
Name: geostats-datasets
Version: 0.1.0
Summary: Download mining and oil & gas geostatistics datasets by name.
Project-URL: Homepage, https://github.com/gstvschlz/datasets
Project-URL: Issues, https://github.com/gstvschlz/datasets/issues
Author: Gustavo Pretto Scholze
License-Expression: MIT
License-File: LICENSE-CODE
Keywords: datasets,drill holes,geostatistics,kriging,mining,oil and gas,training images
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.10
Requires-Dist: pooch>=1.7
Description-Content-Type: text/markdown

# geostats-datasets

Download 2D and 3D geostatistics datasets for mining and oil & gas by name: classic public
sets (Walker Lake, Jura, Strebelle and other training images, the F3 survey) and synthetic
case studies (drill holes, blastholes, block models, well logs, solids).

```python
import geostats_datasets as gd

gd.list()                              # ['bangladesh', 'coal-seam', ...]
folder = gd.fetch("walker-lake")       # downloads once, returns the local folder
sample = gd.fetch("walker-lake", "sample.csv")
```

Or from the shell: `python -m geostats_datasets fetch walker-lake`.

Each dataset comes as a zip from the repository's GitHub data release, checked against its
sha256 and cached per user (set `GEOSTATS_DATASETS_DIR` to move the cache). Every folder has a
README with each file, each column, units, ranges and suggested exercises.

Catalogue, previews and licenses: https://github.com/gstvschlz/datasets
