Food Safety Detection Datasets (Salmonella & Listeria)

 Food safety, microbiological contamination detection, biosensor data analytics, agri-food quality assurance.

 These datasets support rapid detection of critical foodborne pathogens (e.g. Salmonella and Listeria) in products such as fresh meat, dairy, and leafy vegetables. They are highly relevant for improving food safety monitoring, reducing contamination risks, and supporting compliance with food safety regulations. The datasets can contribute to more efficient quality control processes across the agri-food value chain, from production to processing and distribution.

The datasets originate from private sources, generated by EMBIO through laboratory and field testing using the B.EL.D™ biosensing platform, in collaboration with food industry stakeholders.

Parts of the dataset can be made available free of charge for non-commercial scientific research and educational use. Any commercial use, including product development, service delivery, internal business operations, or monetized AI model training, requires a separate paid commercial license from the data owner.

Dataset description & structure

The dataset consists of high-frequency biosensor measurements collected using the B.EL.D™ device. Each measurement session (CSV file) includes:

• Multiple channels (e.g. 8 channels)
• High temporal resolution (e.g. 4 measurements per second)
• Typical duration: ~3 minutes per test (~720 measurements per channel)

Each dataset is labelled with a final classification outcome:

• Positive / Negative (for pathogen detection)

In total:

• 3000 tests for Salmonella (fresh meat and meat products)
• 4000 tests for Listeria (dairy products and leafy vegetables)

Data can be used at:

• raw level (time-series per channel)
• aggregated level (channel averages, statistical features)

Potential users & use cases

• ICT companies and AI developers
  • Training machine learning models for rapid pathogen detection
  • Developing predictive models based on biosensor signals
• Research organisations and universities
  • Studying biosensor signal behaviour
  • Developing new detection methodologies
• Regulatory and certification bodies
  • Supporting validation of new digital food safety methods

For more details contact:
info(at)greensupplychain.eu