Key Variables for Assessing Ancient DNA Authenticity, Quality, and Contamination

9.5 KB Excel spreadsheet by Lumila Paula Menéndez, last updated in April 2026. This dataset provides a curated list of key variables for evaluating the integrity of ancient DNA samples. It likely contains metrics for assessing authenticity, quality, and contamination levels.

Use Cases

• Train machine learning models to classify authentic vs. contaminated ancient DNA samples based on the described key variables.
• Establish quality control thresholds for ancient DNA sequencing pipelines using the listed assessment variables.
• Benchmark the performance of different DNA extraction and sequencing protocols against the provided authenticity and quality metrics.

Strengths

• Small file size (9.5 KB) ensures quick download and easy inspection.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and modification.
• Focus on a specific, critical niche in ancient DNA research.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and completeness require verification.
• The dataset's small scale may limit its direct application for large-scale statistical modeling.

Provenance

Source

Lumila Paula Menéndez via figshare

Collection Method

Curated compilation of key assessment variables, likely from literature or research practice.

Time Range

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Freshness

Last updated 2026-04-13 17:40:15

Geography

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