This project presents a data-independent acquisition mass spectrometry (DIA-MS)–based plasma proteomics dataset generated to identify protein biomarkers associated with recent Mycobacterium tuberculosis (M.tb) infection. The study aimed to characterize proteomic differences among individuals with recently acquired latent tuberculosis infection (LTBI), remotely acquired LTBI, and bacteriologically confirmed active tuberculosis (TB).