A novel dataset for the bamboo compressive strength analysis

The dataset of bamboo compressive strength (BCS) is not publicly accessible. To the author's understanding, this is the first dataset concerning BCS. This dataset has been formed through the gathering of randomly selected species of bamboo specimens that are readily available near the National Institute of Technology, Arunachal Pradesh, located in Jote, India (coordinates 27 degrees 09 ' N 93 degrees 43 ' E). This dataset comprises five input features: specimen cross-sectional area (A), dry weight of the specimen (W), average bamboo density (rho), average modulus of elasticity (MoE), outer diameter of the specimen (D), culm thickness (T), and load (P), all of which contribute to the output variable, BCS. This article describes the creation of an experimental dataset consisting of 150 bamboo samples, shedding light on its purpose and importance. The data accumulation process was conducted per the directives of the National Bamboo Mission, Govt. of Arunachal Pradesh, Itanagar, India, and concerning previous literature that proved helpful in the detection of bamboo species. This database can assist in foretelling the BCS, and this predictive strength can be leveraged to help manufacturers develop their products without having to perform numerous large-scale BCS tests in the future.