Gas sensor responses from an electronic nose (e-nose) to the dry aroma of pekoe-shaped green tea. The dataset is 12.5 MB in size and was authored by Rini Handayani. It was last updated on April 9, 2026.
Use Cases
- Classifying tea aroma profiles based on electronic nose sensor responses.
- Developing predictive models for tea quality assessment using gas sensor data.
- Comparing sensor responses to different tea varieties or processing methods.
- Training machine learning algorithms for pattern recognition in chemical sensor arrays.
Strengths
- Dataset size is 12.5 MB, indicating a manageable download and processing scale.
- Data is available in both CSV and XLSX formats, offering flexibility for different analysis tools.
- Released under a CC-BY-4.0 license, permitting broad reuse with attribution.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- Rini Handayani via figshare.
- Collection Method
- Likely contains measurements from an electronic nose (e-nose) gas sensor array.
- Freshness
- Last updated 2026-04-09 02:46:57; freshness should be verified.
- Geography
- Green tea sourced from the Gambung tea plantation in Ciwidey, West Java, Indonesia.