A novel dataset for the bamboo tensile strength analysis

The dataset on bamboo tensile strength (BTS) presented in this study is the first of its kind and is not publicly available. It was developed by collecting a diverse set of bamboo specimens randomly selected from species commonly located in Jote, India (coordinates: 27°09′N, 93°43′E), including Bambusa vulgaris Schrad. ex J.C.Wendl., Melocanna baccifera (Roxb.) Kurz, Bambusa cacharensis R. B. Majumdar, and Thyrsostachys oliveri Gamble. The database includes 150 specimens and features ten input variables: specimen weight (M), specimen length (L), specimen thickness (T), gauge length (Lg), grip width (B), grip depth (D), average bamboo density (δo), specimen area (A), average modulus of elasticity (MoE), and applied tensile load (F). These input features contribute to the prediction of the output variable BTS. The dataset was generated in accordance with the guidelines provided by the National Bamboo Mission, Government of Arunachal Pradesh, Itanagar, and draws on insights from previous studies that are useful for identifying bamboo species. The primary aim of this experimental dataset is to facilitate the prediction of BTS, offering a valuable tool for manufacturers to estimate tensile strength with reduced reliance on extensive physical testing, thereby streamlining design and development processes.