RADicA: Breath Volatile Organic Compound Data for Asthma Diagnosis

Metabolomic analysis of exhaled breath samples from patients suspected of asthma, collected using the ReCIVA system. The 3.0 MB dataset includes repeated breath and background samples analyzed via thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). Author Agnieszka Turlo published the data under a CC-BY-4.0 license on figshare.

Use Cases

• Developing machine learning classifiers for asthma diagnosis based on VOC profiles.
• Identifying potential breath biomarker signatures for respiratory conditions.
• Studying the variability of breath VOCs within individuals using repeated samples.
• Assessing and correcting for environmental contamination using background sample data.

Strengths

• Includes background control samples collected via a glass dummy head to account for environmental compounds.
• Quality control procedures involved internal standards, blank samples, and external standards.
• Data is openly available under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The patient cohort is limited to those suspected of asthma, which may affect generalizability.

Provenance

Source

figshare, author Agnieszka Turlo.

Collection Method

Exhaled breath samples collected via ReCIVA system and analyzed using TD-GC-MS.

Freshness

Last updated 2026-05-31 00:10:15; freshness should be verified.