datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
world-petroleum-assessment-units
World Petroleum Assessment Units
A modernized, AI/API-ready GeoParquet dataset of USGS World Petroleum Assessment 2000 Assessment Units.
Overview
The World Petroleum Assessment Units dataset is a modernization of the U.S. Geological Survey's World Petroleum Assessment 2000 (WPA 2000) Assessment Units — a globally distributed collection of petroleum assessment units defined by USGS geoscientists based on geological knowledge, exploration and production… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/world-petroleum-assessment-units.hydrolakes
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HydroLAKES
50,000 lake polygons (of ~1.4 million globally) with attributes, validated geometries, standardized area/perimeter fields and coordinate system.
Source & Citation
Messager, M.L., Lehner, B., Grill, G., Nedeva, I., Schmitt, O. (2016). Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nature Communications, 7, 13603.… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/hydrolakes.gplates-tectonic-intelligence
GPlates Tectonic Intelligence Dataset
Overview
GPlates Tectonic Intelligence Dataset is a standardized geospatial dataset maintained by NORA Research Lab, converting the Müller et al. (2019) global plate reconstruction model into AI-ready spatial features.
Every cell in a 1.0° global grid (360 × 180 = 64,800 points, present day / 0 Ma) is tagged with its reconstruction plate ID, seafloor age, and distance to the nearest mid-ocean ridge, subduction trench… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/gplates-tectonic-intelligence.isc-gem-global-instrumental-earthquake-catalogue
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ISC-GEM Global Instrumental Earthquake Catalogue, Modernized
74,158 earthquake events (1904-2021, magnitude 5.5+, plus continental
events down to magnitude 5.0) from the ISC-GEM Global Instrumental
Earthquake Catalogue, Version 12.1, compiled by the International
Seismological Centre. No new earthquake interpretation or machine-learning
modelling is introduced — locations, magnitudes, and… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/isc-gem-global-instrumental-earthquake-catalogue.global-mining-areas
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Global Mining Areas, Modernized
21,060 mining polygons covering 57,278 km² worldwide, representing
the physical land footprint of mining activity — open-pit/open-cut areas,
tailings dams, waste-rock dumps, water ponds, processing infrastructure, and
other directly associated mining land use. Modernized from Maus et al.
(2020)'s PANGAEA release into NORA's standardized schema. No new… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/global-mining-areas.gem-global-active-faults
GEM Global Active Faults Database — GeoParquet
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🤗 Hugging Face dataset: https://huggingface.co/datasets/NoraResearchLab/gem-global-active-faults
💻 GitHub repo: https://github.com/Nora-Research-Lab/gem-global-active-faults
🏢 NORA Research Lab: https://github.com/Nora-Research-Lab
Overview
A standardized, machine-readable GeoParquet conversion of the GEM Foundation's Global Active Faults Database (GAF-DB) — the first public… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/gem-global-active-faults.masmils-global-mineral-resource-intelligence
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MAS/MILS Global Mineral-Resource Intelligence, Modernized
1,846 mineral-property and processing-facility point features derived from
MAS/MILS (Minerals Availability System / Mineral Industry Location System),
originally built by the U.S. Bureau of Mines and transferred to USGS in
1996. No geological reinterpretation or machine-learning modelling is
performed — attributes and geometries… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/masmils-global-mineral-resource-intelligence.global-critical-mineral-deposits
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Global Distribution of Critical Mineral Deposits, Mines, and Districts, Modernized
[fill in from metadata.json → layers.points.feature_count] point features and
[fill in from metadata.json → layers.polygons.feature_count] polygon features covering the
global distribution of deposits, mines, districts, and mineral regions for
22 critical mineral commodities, as of 2017. Modernized from… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/global-critical-mineral-deposits.global-porphyry-copper-deposits
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Global Porphyry Copper Deposits and Prospects, Modernized
2,394 porphyry copper deposits and prospects worldwide, compiled and
standardized from USGS's global database (Most up-to-date published information available to the authors as of Spring 2024).
Porphyry copper deposits are the world's primary source of copper and can
host secondary commodities USGS classifies as critical; their… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/global-porphyry-copper-deposits.cmibs-critical-metals-black-shales
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CMIBS — Global Geochemical Database for Critical Metals in Black Shales
451,472 samples, 4,177,965 measurements, global coverage (seven
continents), 1961-2014. Modernized from the USGS ScienceBase data release into
two linked GeoParquet tables for AI, API, and GIS use.
Contents
geoparquet/samples.parquet — one row per sample: identifying/metadata columns, latitude, longitude, point… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/cmibs-critical-metals-black-shales.gedtm30
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GEDTM30
2 of 2 global 30 m Cloud-Optimized GeoTIFF terrain tiles, validated (CRS, nodata, pixel dimensions, elevation range via windowed reads) and indexed. Terrain derivative generation (slope/aspect/ruggedness) is left to downstream use of the COGs directly, per the source's own tiled workflow design.
Source & Citation
Ho, Y., et al. (2025). GEDTM30: global ensemble digital… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/gedtm30.Environmental_geology-datasets
Environmental Geology Datasets
Overview
Environmental Geology Datasets is a curated geospatial dataset repository maintained by NORA Research Lab.
It supports environmental geology, GIS, GeoAI, mineral exploration, hydrogeology, remote sensing, hazard analysis, and scientific research.
The repository is intended to serve as a standardized backend for the Automated Geological Data Fetching System (AGDFS).
It aggregates and organizes third-party geospatial… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-datasets.hydroatlas
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HydroATLAS
8 sub-basin polygons (level 1 sample) and 50,000 river reaches (sampled), modernized to GeoParquet from HydroATLAS v1.0. This 10-dataset pipeline run uses a sampled subset for memory/time reasons -- see the dedicated HydroATLAS notebook for the full 12-level, 281-attribute treatment.
Source & Citation
Linke, S., Lehner, B., Ouellet Dallaire, C. et al. (2019).… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/hydroatlas.pore-scale-heterogeneity-and-transport-conditions-control-th
Pore-scale Heterogeneity and Transport Conditions Control the Dynamic Evolution of Mineral Dissolution Regimes
NORA Research Lab — Geoscience Dataset Suite
Branch: Structural Geology & Tectonics · Format: parquet · License: cc-by-4.0
🌐 www.noraresearchlab.site
About this dataset
Source & Provenance
Original source: Zenodo
Original license: cc-by-4.0 — checked against NORA's redistribution policy before ingestion… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/pore-scale-heterogeneity-and-transport-conditions-control-th.supporting-data-for-upper-crustal-geometry-of-the-miryang-fa
Supporting Data for "Upper-Crustal Geometry of the Miryang Fault From Seismic Reflection Imaging in the Southeastern Korean Peninsula"
NORA Research Lab — Geoscience Dataset Suite
Branch: Structural Geology & Tectonics · Format: parquet · License: cc-by-4.0
🌐 www.noraresearchlab.site
About this dataset
Source & Provenance
Original source: Zenodo
Original license: cc-by-4.0 — checked against NORA's redistribution… See the full description on the dataset page: https://huggingface.co/datasets/NoraResearchLab/supporting-data-for-upper-crustal-geometry-of-the-miryang-fa.kansas-well-index
