Proximal Composition Analysis of 110 Gasipaes Fruit Mesocarp Samples

110 samples of gasipaes fruit mesocarp underwent proximal composition analysis, with results expressed as a percentage of dry matter. The dataset includes calculated mean, standard deviation, and range values for each nutritional component. It was authored by David Romero-Estévez and shared in 2026.

Use Cases

• Compare mean and standard deviation values for nutritional components across the 110 fruit samples to assess variability.
• Analyze the range of values for each proximal component to identify the minimum and maximum nutritional content.
• Use the percentage of dry matter basis data for modeling nutritional density in gasipaes fruit cultivars.

Strengths

• Dataset contains results from 110 analyzed fruit samples, providing a defined sample size.
• Includes calculated statistical summaries (mean, standard deviation, range) for each measured component.
• Shared under a permissive CC BY 4.0 license for reuse.

Limitations

• The dataset is very small at 21.5 KB, limiting its scope for machine learning applications.
• Specific column names and raw sample data are unavailable, restricting detailed feature analysis.
• The geographic origin and collection methodology for the fruit samples are not specified.

Provenance

Source

David Romero-Estévez via figshare.

Collection Method

Proximal composition analysis of mesocarp from gasipaes fruits.

Time Range

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Freshness

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Geography

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