2026-10-14T07:01:22Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33985933 2026-09-24T14:21:36Z category_26998 category_26971 category_26992 category_25099 item_type_3 month_year_09_2026

Analytical Replication Improves Precision but Does Not Create Environmental Replication: Hierarchical Uncertainty and Decision Stability in Metal(loid) Soil Exposure Screening — Data and Reproducibility Materials Antonio Peña-Fernández (24688270) Tomás Cámara-Pastor (24688292) Other environmental sciences not elsewhere classified Pollution and contamination not elsewhere classified Soil sciences not elsewhere classified Analytical chemistry not elsewhere classified Leicester Leicestershire topsoil metal(loid)s trace elements analytical replication environmental replication hierarchical data hierarchical uncertainty variance components measurement uncertainty Monte Carlo simulation sampling design composite sampling exposure screening Human health risk assessments <p dir="ltr">This repository contains the final data, R code, derived datasets, publication-facing figures and supplementary tables, spatial sampling information, and quality-assurance records supporting the associated <i>Toxics</i> manuscript <b>“Analytical Replication Improves Precision but Does Not Create Environmental Replication: Hierarchical Uncertainty and Decision Stability in Metal(loid) Soil Exposure Screening.”</b></p><p dir="ltr">The study evaluates the consequences of analytical replication and inferential-unit choice in a hierarchical topsoil dataset from Leicester and Leicestershire, United Kingdom. The sampling and analytical hierarchy comprises <b>850 field increments, 26 independent site-level environmental composites, 52 physical laboratory samples, and 102 analytical determinations</b> for As, Be, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, V and Zn.</p><p dir="ltr">The repository corresponds to the final <b>Pb-corrected, singleton-safe POST-v1.4 analytical state</b> used for the revised manuscript. It includes the reproducible correction of 16 Pb records from ICP-MS Run 2, validated handling of the Brocks Hill singleton analytical records in the R1–R4 Monte Carlo workflow, final variance-component and reproducibility outputs, effect sizes and 95% confidence intervals for urban–rural comparisons, screening-level exposure and toxicity calculations, and the final manuscript and supplementary figures and tables.</p><p dir="ltr">Spatial materials include the cleaned field-sampling dataset for all <b>850 original topsoil increments</b>, site-level coordinates, documented park/reserve areas, and quantitative characterisation of the horizontal field-sampling footprint. Urban sites followed a predefined 25-increment cross design at approximately 2 m spacing. Rural/semi-rural sites comprised 50 spatially distributed increments, with sampling footprints derived from the recorded GPS locations.</p><p dir="ltr">Environmental inference throughout the study is based on the <b>26 independent site-level composites</b>. Physical laboratory samples and analytical determinations are treated as nested observations and are not interpreted as additional environmental replicates.</p><p dir="ltr">The deposited materials include machine-readable CSV files, consolidated Excel datasets and publication tables, R scripts required for reproducibility, final figures, supplementary materials, data documentation, and a compact quality-assurance/provenance record.</p> 2026-09-24T14:21:36Z Dataset Dataset 10.6084/m9.figshare.33985933.v1 https://figshare.com/articles/dataset/Analytical_Replication_Improves_Precision_but_Does_Not_Create_Environmental_Replication_Hierarchical_Uncertainty_and_Decision_Stability_in_Metal_loid_Soil_Exposure_Screening_Data_and_Reproducibility_Materials/33985933 CC BY 4.0