Ghugare et al (2014) contains a data set where different biomass fuels are characterized by the amount of certain molecules (carbon, hydrogen, oxygen, nitrogen, and sulfur) and the corresponding higher heating value (HHV). These data are from their Table S.2 of the Supplementary Materials
Source
Ghugare, S. B., Tiwary, S., Elangovan, V., and Tambe, S. S. (2013). Prediction of Higher Heating Value of Solid Biomass Fuels Using Artificial Intelligence Formalisms. BioEnergy Research, 1-12.
Examples
data(biomass)
str(biomass)
#> 'data.frame': 536 obs. of 8 variables:
#> $ sample : chr "Akhrot Shell" "Alabama Oak Wood Waste" "Alder" "Alfalfa" ...
#> $ dataset : chr "Training" "Training" "Training" "Training" ...
#> $ carbon : num 49.8 49.5 47.8 45.1 46.8 ...
#> $ hydrogen: num 5.64 5.7 5.8 4.97 5.4 5.75 5.99 5.7 5.5 5.9 ...
#> $ oxygen : num 42.9 41.3 46.2 35.6 40.7 ...
#> $ nitrogen: num 0.41 0.2 0.11 3.3 1 2.04 2.68 1.7 0.8 1.2 ...
#> $ sulfur : num 0 0 0.02 0.16 0.02 0.1 0.2 0.2 0 0.1 ...
#> $ HHV : num 20 19.2 18.3 18.2 18.4 ...