ArticleData in brief2026
Tissue-specific lead (Pb) partitioning dataset for sweetpotato cultivars 'Bayou Belle' and 'Beauregard' under controlled greenhouse Pb exposure.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This data article describes a greenhouse-derived dataset of lead (Pb) concentrations in four tissue types from two orange-fleshed sweetpotato cultivars, 'Bayou Belle' and 'Beauregard', that were exposed to controlled Pb treatments. Plants were grown from May 7 to June 28, 2026, and assigned to three treatment levels: untreated control, 10 mg L⁻¹ Pb, and 20 mg L⁻¹ Pb. Pooled tissue samples were collected from storage root, lateral and non-swollen root tissue, stem, and leaf, with three biological replicates per cultivar × treatment × tissue combination; each biological replicate consisted of tissue pooled from three subsamples to meet the minimum sample-weight requirement for elemental analysis. The dataset contains 72 observations with variables for cultivar, Pb treatment, tissue source, Pb concentration, and sample weight. Lead concentrations are reported in μg kg⁻¹ and were measured in digested plant tissue using inductively coupled plasma mass spectrometry. The repository includes the analysis-ready CSV file, two R scripts for weighted least squares and unweighted sensitivity workflows, and README documentation. These data can support tissue-level Pb partitioning research, cultivar comparisons, food safety assessment, statistical workflow testing, and sweetpotato sampling protocol development.
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