Truth-worthy AI for Earth's extremes.
We build resilient intelligence for high-uncertainty environments โ transforming data scarcity into geological and biological precision.
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--- ## Who We Are NORA Research Lab is an independent AI research organization building intelligent systems for industries where reliable intelligence has an outsized effect on real-world outcomes. ### Our Mission To research, develop, and deploy AI systems that solve high-impact challenges through scientific innovation and engineering excellence. ### Our Vision To create a world where artificial intelligence serves as a powerful catalyst for human advancement โ amplifying our potential to solve Earth's most complex challenges and building a future defined by shared prosperity and scientific discovery. ## Building Intelligence for the Industries That Matter Four industries, one underlying discipline: turning dense, underused data into intelligence people can act on. | Industry | Focus | Areas | |---|---|---| | โ๏ธ **Mining Intelligence** | Exploration, remote sensing, and resource estimation to prioritize high-potential mineral targets. | Exploration ยท Geology ยท Operations | | ๐ฉบ **Health Intelligence** | Intelligent diagnostic systems and medical decision-support tools for faster, more accurate care. | Diagnostics ยท Biomedical AI ยท Point-of-Care | | ๐ง **Data Intelligence** | Systems that organize, understand, and reason over complex datasets with factual grounding. | Knowledge Systems ยท Verification ยท Reasoning | | ๐ก๏ธ **Human Security** | AI that protects people through risk prediction, infrastructure monitoring, and disaster response. | Cybersecurity ยท Risk Prediction ยท Safety | ## Open Datasets We publish curated, ML-ready geoscience and Earth data on the Hub โ the first output of our Mining & Data Intelligence work, with more industries to follow: | Dataset | Description | |---|---| | [gem-global-active-faults](https://huggingface.co/datasets/NoraResearchLab/gem-global-active-faults) | GEM Global Active Faults Database, modernized | | [world-petroleum-assessment-units](https://huggingface.co/datasets/NoraResearchLab/world-petroleum-assessment-units) | Global petroleum assessment unit data | | [Ilesha-Gold-Prospectivity-AME](https://huggingface.co/datasets/NoraResearchLab/Ilesha-Gold-Prospectivity-AME) | Gold prospectivity data for the Ilesha schist belt | | [Ilesha-Gold-Prospectivity-AME-prototype](https://huggingface.co/datasets/NoraResearchLab/Ilesha-Gold-Prospectivity-AME-prototype) | Prototype release of the Ilesha gold prospectivity dataset | | [mineral-prospectivity-grid-na](https://huggingface.co/datasets/NoraResearchLab/mineral-prospectivity-grid-na) | North America mineral prospectivity grid | | [ds424-geologic-map-north-america](https://huggingface.co/datasets/NoraResearchLab/ds424-geologic-map-north-america) | USGS DS-424 Geologic Map of North America, as GeoParquet | | [gplates-tectonic-intelligence](https://huggingface.co/datasets/NoraResearchLab/gplates-tectonic-intelligence) | Global gridded tectonic feature dataset (plate ID, seafloor age, boundary distances) | | [glim-lithology-api-data](https://huggingface.co/datasets/NoraResearchLab/glim-lithology-api-data) | Global Lithological Map (GLiM) data for lithology lookups | | [Environmental_geology-landform](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-landform) | Environmental geology โ landform layer | | [Environmental_geology-roughness](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-roughness) | Environmental geology โ terrain roughness layer | | [Environmental_geology-aspect](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-aspect) | Environmental geology โ terrain aspect layer | | [Environmental_geology-slope](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-slope) | Environmental geology โ slope layer | | [Environmental_geology-dem](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-dem) | Environmental geology โ digital elevation model layer | | [Environmental_geology-datasets](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-datasets) | Combined environmental geology dataset collection | | [wgm2012-world-gravity-map](https://huggingface.co/datasets/NoraResearchLab/wgm2012-world-gravity-map) | BGI World Gravity Map 2012 (Bouguer, isostatic, free-air), as GeoParquet | | [cmibs-critical-metals-black-shales](https://huggingface.co/datasets/NoraResearchLab/cmibs-critical-metals-black-shales) | USGS Critical Metals in Black Shales geochemical database | | [ngdod-legacy-ore-deposits](https://huggingface.co/datasets/NoraResearchLab/ngdod-legacy-ore-deposits) | USGS National Geochemical Database on Ore Deposits (Legacy Data) | | [globsed-sediment-thickness](https://huggingface.co/datasets/NoraResearchLab/globsed-sediment-thickness) | Global ocean sediment thickness grid, as GeoParquet | *(18 datasets as of publishing โ check the [Datasets tab](https://huggingface.co/NoraResearchLab) for the latest.)* ## Quick Links | | | |---|---| | ๐ Website | [nora-research-lab.vercel.app](http://nora-research-lab.vercel.app/) | | ๐ GitHub | [github.com/Nora-Research-Lab](https://github.com/Nora-Research-Lab) | | ๐ค Hugging Face | [huggingface.co/NoraResearchLab](https://huggingface.co/NoraResearchLab) | | ๐ผ LinkedIn | [linkedin.com/company/nora-research-lab](https://www.linkedin.com/company/nora-research-lab) | | โ๏ธ X (Twitter) | [x.com/noraresearchlab](https://x.com/noraresearchlab) | ---Truth-worthy AI for Earth's extremes.