Dataset Viewer
Auto-converted to Parquet Duplicate
The dataset viewer is not available for this split.
Parquet error: Scan size limit exceeded: attempted to read 419487178 bytes, limit is 300000000 bytes Make sure that 1. the Parquet files contain a page index to enable random access without loading entire row groups2. otherwise use smaller row-group sizes when serializing the Parquet files
Error code:   TooBigContentError

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

GLiM + GLHYMPS Global Geology Tiles

Sharded GeoParquet tiles for global lithology (GLiM) and hydrogeology (GLHYMPS 2.0), built for the pygeoglim Python package.

Repository layout

glim/v1/
  manifest.json         ← tile index (2647 tiles)
  {pfaf2}/{cell}/glim.parquet

glhymps/v1/
  manifest.json         ← tile index (2955 tiles)
  {pfaf2}/{cell}/glhymps.parquet

GLIM_CONUS.gpkg         ← CONUS GeoPackage (used by pygeoglim CONUS path)
GLHYMP_CONUS.gpkg       ← CONUS GeoPackage (used by pygeoglim CONUS path)

Tiles follow a Pfafstetter level-2 × 5-degree grid partition. Each parquet shard contains all geology polygons for that cell, reprojected to WGS-84 (EPSG:4326).

Usage

Install the client library:

pip install pygeoglim
from pygeoglim import fetch_glim, fetch_glhymps
from shapely.geometry import box

# Rhine River watershed (Germany)
rhine = box(6.0, 46.5, 8.5, 48.5)

lithology = fetch_glim(rhine, region="global")      # GLiM polygons
hydrogeol = fetch_glhymps(rhine, region="global")   # GLHYMPS polygons

# Integrated CAMELS-style attribute summaries
from pygeoglim import glim_attributes, glhymps_attributes
glim_attrs  = glim_attributes(lithology)
glhymps_attrs = glhymps_attributes(hydrogeol)

Data Sources & Licenses

GLiM — Global Lithological Map

Hartmann, J. & Moosdorf, N. (2012). The new global lithological map database GLiM: A representation of rock properties at the Earth surface. Geochemistry, Geophysics, Geosystems, 13. https://doi.org/10.1029/2012GC004370

Dataset DOI: https://doi.org/10.1594/PANGAEA.788537

License: Personal research use only. Redistribution or commercial use requires written permission from the Commission for the Geological Map of the World (CCGM). The GLiM tiles in this repository are provided for personal research and are not for redistribution.

GLHYMPS 2.0 — Global Hydrogeology Maps

Gleeson, T., Moosdorf, N., Hartmann, J., & van Beek, L. P. H. (2014). A glimpse beneath earth's surface: GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity. Geophysical Research Letters, 41(14), 4896–4900. https://doi.org/10.1002/2014GL059856

Huscroft, J., Gleeson, T., Hartmann, J., & Börker, J. (2018). Compiling and mapping global permeability of the unconsolidated and consolidated Earth: GLobal HYdrogeology MaPS 2.0 (GLHYMPS 2.0). Geophysical Research Letters, 45(4), 1897–1904. https://doi.org/10.1029/2017GL075860

Dataset DOI: https://doi.org/10.5683/SP2/TTJNIU

License: Open Database License (ODbL) — redistribution with attribution is permitted.

Citation

If you use this dataset in your research, cite:

@software{galib2025pygeoglim,
  author = {Galib, Mohammad},
  title  = {pygeoglim: Global geology data access for any watershed on Earth},
  url    = {https://github.com/galib9690/pygeoglim},
  year   = {2025}
}

And please also cite the original GLiM and GLHYMPS datasets as referenced above.

Downloads last month
685