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.
We acknowledge the original authors for the data published in open-access journals.