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+<p align="center">
+  <img src="https://i.ibb.co/wrCtVX29/Chat-GPT-Image-Aug-31-2026-09-22-26-AM.png" width="100%" alt="NORA Research Lab"/>
+</p>
+
+<h1 align="center">NORA Research Lab</h1>
+<p align="center"><b>AI for Earth</b></p>
+
+<p align="center">
+  <a href="https://github.com/Nora-Research-Lab">
+    <img src="https://img.shields.io/badge/GitHub-NORA%20Research%20Lab-181717?style=for-the-badge&logo=github&logoColor=white" alt="GitHub"/>
+  </a>
+  <a href="https://huggingface.co/NoraResearchLab">
+    <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-NoraResearchLab-FFD21E?style=for-the-badge" alt="Hugging Face"/>
+  </a>
+  <a href="https://www.linkedin.com/company/nora-research-lab">
+    <img src="https://img.shields.io/badge/LinkedIn-NORA%20Research%20Lab-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white" alt="LinkedIn"/>
+  </a>
+  <a href="https://x.com/noraresearchlab">
+    <img src="https://img.shields.io/badge/X-@noraresearchlab-000000?style=for-the-badge&logo=x&logoColor=white" alt="X"/>
+  </a>
+</p>
+
+<p align="center">
+  🌐 <a href="http://nora-research-lab.vercel.app/">nora-research-lab.vercel.app</a>
+</p>
+
 ---
-title: README
-emoji: 🔥
-colorFrom: green
-colorTo: green
-sdk: static
-pinned: false
+
+## About Us
+
+**NORA Research Lab** is an independent AI/ML research lab building open, machine-learning-ready data, tools, and models for the Earth sciences. Our mission is simple: make the world's geological, geophysical, and environmental data usable by modern AI — from large language models to geospatial foundation models — so the next generation of exploration, hazard, and sustainability tools can be built faster and more openly.
+
+We work at the intersection of **geoscience, artificial intelligence, and remote sensing**, with a particular focus on applications for the mining, energy, and natural-resource industries.
+
+## What We Do
+
+- 🗺️ **Geoscience Data Modernization** — converting legacy scientific formats (NetCDF, shapefiles, raw geodatabases, PDFs of decades-old surveys) into clean, linked, AI/API-ready formats such as GeoParquet.
+- 📦 **Open Datasets for Geo-AI** — publishing curated, documented datasets covering lithology, tectonics, gravity, sediment thickness, mineral occurrences, and more, so researchers and model builders don't have to start from raw government archives.
+- 🛠️ **Tools & APIs** — building lightweight, low-resource APIs and MCP-compatible services that let AI systems query and reason over Earth science data directly.
+- 🔬 **Applied Research** — exploring how AI and machine learning can support mineral prospectivity mapping, seismic risk analysis, and other real-world geoscience problems.
+
+## Our Datasets
+
+All datasets below are published under this organization on the Hub:
+
+| 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 — landform layer |
+| [Environmental_geology-roughness](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-roughness) | Environmental geology — terrain roughness layer |
+| [Environmental_geology-aspect](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-aspect) | Environmental geology — terrain aspect layer |
+| [Environmental_geology-slope](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-slope) | Environmental geology — slope layer |
+| [Environmental_geology-dem](https://huggingface.co/datasets/NoraResearchLab/Environmental_geology-dem) | Environmental geology — 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 — check the [Datasets tab](https://huggingface.co/NoraResearchLab) for the latest.)*
+
+## Quick Links
+
+| | |
+|---|---|
+| 🌐 Website | [nora-research-lab.vercel.app](http://nora-research-lab.vercel.app/) |
+| 🐙 GitHub | [github.com/Nora-Research-Lab](https://github.com/Nora-Research-Lab) |
+| 🤗 Hugging Face | [huggingface.co/NoraResearchLab](https://huggingface.co/NoraResearchLab) |
+| 💼 LinkedIn | [linkedin.com/company/nora-research-lab](https://www.linkedin.com/company/nora-research-lab) |
+| ✖️ X (Twitter) | [x.com/noraresearchlab](https://x.com/noraresearchlab) |
+
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+<p align="center"><i>Building the open data layer for AI-driven Earth science.</i></p>