Value of the Data •Spectral dataset of animal feed samples can be used to predict nutritive parameters derived from calibration models. It provides a rapid, non-destructive and simultaneous approach to determine nutritive attributes of biological objects like animal feed in this case. •Data were benefited in animal feed industries for quality inspection of their feed products. This dataset can also be re-used to develop prediction models for other nutritive parameters like starch, protein, pH and others. •Spectral dataset can be enhanced using several data pre-processing approaches and transferred onto established NIRS instrument. •Prediction performances may vary, depends on spectra enhancement and regression approaches to be applied during calibration and prediction models development.