Safflower_228_Germplasm_Dataset_v2

This dataset presents a standardized, multi-dimensional resource for 228 safflower (Carthamus tinctorius L.) germplasms, including an 84-sample core subset and a 6-parent half-diallel cross (orthogonal crosses only). The data are organized into 15 CSV files, a README file, and Python processing scripts: 1. Sample Master & Germplasm Mapping: 'sample_master.csv' (S-ID to HS-ID mapping), 'diallel_parent_map.csv' (parental lines P1–P6 mapped to germplasm accessions S64, S07, S200, S195, S63, S04).2. Phenotypic Records: 12 agronomic and yield-related traits across three consecutive years: 'phenotype_2019.csv', 'phenotype_2020.csv', and 'phenotype_2021.csv'. Raw zeros have been converted to NA; rows S135–S141 in 2021 are flagged as 'column_shift_suspect'.3. Biochemical Records: Hydroxy safflor yellow A (HSYA) content quantified in 2020 ('hsya_2020.csv'), reported in original percentages and standardized mg/g (1% = 10 mg/g).4. Molecular Markers: Binary matrices in long format for ISSR ('issr_binary_long.csv') and SCoT ('scot_binary_long.csv'). PCR failures (codes 9 and *) have been replaced with NA and recorded in 'missing_reason'.5. Diallel Cross Data: Raw plot-level observations, generation means, and field design for F1 and F2 populations evaluated in 2015 and 2016 ('diallel_observations.csv', 'diallel_summary.csv', 'diallel_design.csv'). Filament yield is provided in both kg/mu and converted kg/ha (×15).6. Technical Validation: Metrics for HPLC curve linearity (R² > 0.999), molecular marker missing rates (ISSR 2.24%, SCoT 3.07%), core subset representativeness, and diallel F1/F2 correlations.7. Metadata & Code: MIAPPE-compliant descriptors ('MIAPPE_Investigation.csv', 'MIAPPE_Study.csv', 'MIAPPE_Event.csv'), a README outlining usage rules and missing codes, and Python scripts for data processing and validation.