| # Telomere Length and Structure Dataset (PDF Extracted) | |
| This dataset contains structured tables extracted from two peer-reviewed publications focused on telomere sequencing, length measurement, and structure—key biomarkers in aging and age-related disease. | |
| ## Dataset Description | |
| The dataset is compiled from: | |
| 1. `s41467-024-49007-4.pdf` (Nature Communications) | |
| 2. `eScholarship UC item 0t23r589.pdf` | |
| Extracted tables cover: | |
| - Telomere length metrics | |
| - Nanopore sequencing measurements | |
| - Biological age associations | |
| - Sample-level telomere profiles | |
| The final dataset is saved in the file: `telomere_datasets_combined.parquet` | |
| ## Usage Instructions | |
| ```python | |
| import pandas as pd | |
| df = pd.read_parquet("telomere_datasets_combined.parquet") | |
| print(df.head()) | |
| ``` | |
| ## Use Cases | |
| - Train biological aging clocks using telomere length features | |
| - Identify age-related trends in telomere attrition | |
| - Benchmark telomere shortening in disease vs. healthy cohorts | |
| - Integrate into multi-omics aging models | |
| ## Citation | |
| If you use this dataset, please cite the original studies: | |
| - [Nature Communications article](https://doi.org/10.1038/s41467-024-49007-4) | |
| - [eScholarship publication](https://escholarship.org/uc/item/0t23r589) | |
| ## Acknowledgments | |
| This dataset was curated and processed by **Iris Lee**. Tables were extracted using `pdfplumber` and converted to `.parquet` using `pandas`. ### 🧑💻 Team: MultiModalMillenials. Iris Lee (`@iris8090`) | |
| We acknowledge the original authors for the data published in open-access journals. | |
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