Data and analysis code for "Calcium silicate effects on wheat phosphorus nutrition depend on phosphorus-source chemistry"

This deposit contains the underlying data and analysis code for the article "Calcium silicate effects on wheat phosphorus nutrition depend on phosphorus-source chemistry" by Sourabh Karwa and Moshe Halpern (submitted to Silicon, Springer). The study tested whether wheat (Triticum aestivum cv. Omer) responds to a calcium-silicate (CaSiO₃) amendment differently depending on the chemical form of phosphorus supplied, in a factorial sand-culture experiment crossing four P sources — soluble KH₂PO₄, hydroxyapatite, FePO₄, and no added P — with or without CaSiO₃, alongside a parallel abiotic sand–mineral assay of solution pH, electrical conductivity, and soluble phosphate. Contents- raw_data/ — raw measurements: shoot and root biomass, WinRHIZO root-architecture scans, ICP-OES shoot ionome, and the abiotic pH/EC and PO₄-P assay.- derived_data/ — cleaned analysis inputs, shoot-ionome silicon-effect tables, quartz-sand background-nutrient characterisation, and the authoritative statistical outputs underlying the manuscript tables and figures.- scripts/ — Python (3.11+) scripts reproducing the statistics (two-way ANOVA, Welch contrasts, Benjamini–Hochberg FDR), the ionome analyses, the plant-establishment sensitivity analysis (Table S7), and the manuscript figures. All paths resolve relative to each script's location, so the package runs in place.- figures/ — manuscript figures. Reproducibility: Python 3.11+ with pandas, scipy, statsmodels, seaborn, and matplotlib. A no-silicon shoot-biomass subset is also used, under a non-overlapping analysis, in a related wheat–chickpea phosphorus-facilitation study (Tiwari et al., in preparation).