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:
s41467-024-49007-4.pdf(Nature Communications)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
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:
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.