Oxalate Analysis Labouratory and Statistical Data Oxalate Analysis Labouratory and Statistical Data

The dataset comprises all primary and derived data generated during the analysis of oxalate content in selected indigenous leafy vegetables from the Eastern Region of Ghana. The data support both the quantitative findings and the method comparison presented in this study.1. Raw Analytical DataThis includes:Spectrophotometric data: Triplicate absorbance measurements for each sample, calibration curve data (standard concentrations vs absorbance), and calculated oxalate concentrations.Titrimetric data: Triplicate titre values (mL) for each sample, average titre values, and corresponding oxalate concentrations calculated using the equivalence factor (1 mL of 0.1 M KMnO₄ = 2.2 mg oxalate).Each sample is identified by:Vegetable type (waterleaf, bitter leaf, cocoyam leaves, jute leaves)Treatment (fresh or heat-treated)Geographical block (Block A: highland; Block B: lowland)2. Processed DatasetThis dataset contains:Final oxalate concentrations (mg/100 g) for both analytical methodsMean ± standard deviation (n = 3) for each sample groupStructured dataset used for statistical analysis (RCBD ANOVA)Variables include:Group (e.g., WFH, BFL, etc.)VegetableTreatmentBlockSpectrophotometric (mg/100 g)Titrimetric (mg/100 g)3. Statistical Analysis OutputsANOVA tables (RCBD) including sum of squares, F-values, p-values, and partial eta squared (η²ₚ)Tukey HSD post hoc groupingsNormality (Shapiro–Wilk test) and homogeneity (Levene’s test) resultsRelative standard deviation (RSD) calculations for precision assessment4. Method Validation DataCalibration curve parameters (slope, intercept, R²)Limit of Detection (LOD) and Limit of Quantification (LOQ)Recovery study results (spiked samples and % recovery)Precision data (RSD values for replicate measurements)5. Method Comparison Dataset (Bland–Altman Analysis)A dedicated dataset used for method comparison, including:Mean of methods (Spectrophotometric and Titrimetric)Difference between methodsCalculated bias and limits of agreementAdditionally, exported files include:Bland–Altman summary statistics (bias, confidence intervals, limits of agreement)Raw Bland–Altman dataset used for plottingRegression output assessing proportional bias (slope, intercept, p-value) The dataset comprises all primary and derived data generated during the analysis of oxalate content in selected indigenous leafy vegetables from the Eastern Region of Ghana. The data support both the quantitative findings and the method comparison presented in this study.1. Raw Analytical DataThis includes:Spectrophotometric data: Triplicate absorbance measurements for each sample, calibration curve data (standard concentrations vs absorbance), and calculated oxalate concentrations.Titrimetric data: Triplicate titre values (mL) for each sample, average titre values, and corresponding oxalate concentrations calculated using the equivalence factor (1 mL of 0.1 M KMnO₄ = 2.2 mg oxalate).Each sample is identified by:Vegetable type (waterleaf, bitter leaf, cocoyam leaves, jute leaves)Treatment (fresh or heat-treated)Geographical block (Block A: highland; Block B: lowland)2. Processed DatasetThis dataset contains:Final oxalate concentrations (mg/100 g) for both analytical methodsMean ± standard deviation (n = 3) for each sample groupStructured dataset used for statistical analysis (RCBD ANOVA)Variables include:Group (e.g., WFH, BFL, etc.)VegetableTreatmentBlockSpectrophotometric (mg/100 g)Titrimetric (mg/100 g)3. Statistical Analysis OutputsANOVA tables (RCBD) including sum of squares, F-values, p-values, and partial eta squared (η²ₚ)Tukey HSD post hoc groupingsNormality (Shapiro–Wilk test) and homogeneity (Levene’s test) resultsRelative standard deviation (RSD) calculations for precision assessment4. Method Validation DataCalibration curve parameters (slope, intercept, R²)Limit of Detection (LOD) and Limit of Quantification (LOQ)Recovery study results (spiked samples and % recovery)Precision data (RSD values for replicate measurements)5. Method Comparison Dataset (Bland–Altman Analysis)A dedicated dataset used for method comparison, including:Mean of methods (Spectrophotometric and Titrimetric)Difference between methodsCalculated bias and limits of agreementAdditionally, exported files include:Bland–Altman summary statistics (bias, confidence intervals, limits of agreement)Raw Bland–Altman dataset used for plottingRegression output assessing proportional bias (slope, intercept, p-value)