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This work-related addresses the measurement and modeling that the densities of 7 vegetable oils (soybean, rapeseed, castor, palm, sunflower, Aleurites moluccana, and Jatropha curcas oils) at temperature from (283.15 come 363.15) K and pressures from (0.1 to 45) MPa. The data measured below was associated using the modified Tait-Tammann equation, and also the data was used to advice the predictive ability of the Halvorsen model, the fragment-based approach, and also the revised GCVOL team contribution method. The results display that the models studied defined well the experimental data, presenting not just stable deviations end the temperature variety but likewise overall typical relative deviations (OARD) of only (1.2, 0.34, and also 1.1) %, respectively. An extension of the models below studied come high pressure is proposed. The models the Halvorsen, Zong, and also revised GCVOL administer very good predictions that high-pressure densities through OARDs of (0.75, 1.04, and 0.41) %, respectively, v the deviations presenting just a slightly pressure-dependent through maximum deviations of less than 2.0 %.