支持以下原始数据集：高原环境过滤驱动的类准型划分

The dataset comprises 20 supplementary tables (S1–S20) covering sampling locations, altitudes, coordinates, and sample sizes across five provincial regions (S1); primer sequences for toxin gene and antibiotic resistance gene (ARG) detection (S2, S5); toxin typing criteria and stratified toxotype distributions (S3, S8, S9); antimicrobial susceptibility testing standards and raw phenotypic data for 556 C. perfringens isolates (S4, S10); stratified antimicrobial resistance rates and multidrug resistance (MDR/H-MDR) classifications (S11, S13, S14); the raw binary detection matrix of 56 ARGs and their stratified prevalence (S16, S17); statistical analyses including generalized linear mixed models (GLMM), multivariable logistic regression, pairwise χ² tests with Benjamini-Hochberg false discovery rate correction, and sensitivity analyses for pre- vs. post-pandemic sampling bias (S6, S7, S12, S15, S19); phi (φ) coefficient analyses of ARG co-occurrence networks and toxitype-ARG correlations (S18); and bioinformatic predictions of mobile genetic elements (MGEs) associated with ARGs (S20).

Five supplementary figures (S1–S5) illustrate the provincial and altitudinal prevalence of C. perfringens, provincial toxitype niche differentiation, overall antimicrobial resistance profiles against 19 antimicrobial agents, spatiotemporal differences in resistance rates across toxinotypes and altitudinal strata before and after the COVID-19 pandemic, and visualization of antimicrobial resistance phenotypes across all 556 isolates.