Curated Chemicals Detected in Consumer Products via Non-Targeted Analysis

11,952 chemical detections from 81 peer-reviewed publications were manually extracted and harmonized into a machine-readable database. The dataset maps 6,978 unique chemicals to unambiguous identifiers, along with metadata on chromatographic methods and product types. Author Anna Boatman compiled this resource to make non-targeted analysis results from consumer product studies more accessible.

Use Cases

• Identify chemical co-occurrence patterns based on reported detections across consumer product categories.
• Benchmark analytical methods based on the harmonized chromatographic method metadata.
• Prioritize chemicals for risk assessment based on frequency of detection in consumer products.
• Map reported chemical identifiers to standardized databases using the provided unambiguous identifiers.

Strengths

• Contains 6,978 unique chemicals mapped to unambiguous identifiers.
• Curated from 81 peer-reviewed publications, providing a literature-based foundation.
• Includes metadata on analytical methods and product types for context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect publication bias inherent to the literature search source.

Provenance

Source

Anna Boatman via figshare.

Collection Method

Manual extraction and harmonization of data from 81 identified peer-reviewed publications.

Freshness

Last updated 2026-05-31 00:10:16; freshness should be verified.