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README.md

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+# GSE208154 – Complete Cell Atlas of Aging C. elegans
+
+## 📄 Description
+This dataset provides a comprehensive single-cell RNA sequencing (scRNA-seq) profile of *C. elegans* across six adult time points. It is a highly curated developmental and aging atlas, useful for longevity, developmental biology, and transcriptomic studies.
+
+## 📊 Dataset Summary
+- **Species:** Caenorhabditis elegans
+- **Type:** Single-cell RNA-seq (scRNA-seq)
+- **Samples:** 11 GSM samples from GEO
+- **Format:** 
+  - `GSE208154_expression_sparse.parquet`: Sparse gene expression matrix
+  - `GSE208154_metadata.parquet`: Cell metadata
+
+## 📁 Files Included
+- `GSE208154_expression_sparse.parquet`
+- `GSE208154_metadata.parquet`
+
+## 📥 How to Load
+```python
+import scipy.sparse
+import pandas as pd
+
+# Load expression matrix
+X = scipy.sparse.load_npz("GSE208154_expression_sparse.parquet")
+
+# Load metadata
+metadata = pd.read_parquet("GSE208154_metadata.parquet")
+```
+
+## 💡 Use Cases
+- Aging research in model organisms
+- Cell type classification and developmental biology
+- Benchmarking unsupervised and supervised learning on scRNA-seq data
+- Pseudotime or trajectory inference studies
+
+## 📚 Citation
+If you use this dataset, please cite:
+> Lipinszki, Z., et al. (2022). A complete single-cell transcriptomic atlas of aging *C. elegans*. *Nature Aging*, DOI: [10.1038/s43587-022-00217-x](https://doi.org/10.1038/s43587-022-00217-x)
+
+## 🙏 Acknowledgments
+We thank Calico Life Sciences for generating and sharing this valuable resource and NCBI GEO for providing public access.
+
+Curated and converted by Iris Lee-participant of the Longevity Hackathon 2025. ### 🧑‍💻 Team: MultiModalMillenials. Iris Lee (`@iris8090`)