The dataset analyzed in this study consists of trade flow data between Xinjiang and its trading partners, which were sourced from the publicly available online database of Urumqi Customs (http://urumqi.customs.gov.cn/urumqi_customs/sy7/index.html). Based on this dataset, we apply machine learning techniques to conduct forecasting and dynamic analysis of trade patterns.
The BanglaVowelDataset [1] resolves the unavailability of Bangla AC and synthetic BC vowel data in the speech information system. We recorded raw Bangla air-conducted (AC) vowels, with five male and five female speakers participating in the recording system, set up in a soundproo…
This deposit contains the complete extraction dataset, analysis code, intermediate results, and figure-generation pipeline supporting a quantitative research synthesis of supercapacitor electrodes derived from banana biomass residues (peel, pseudostem, bract, leaf, and fibre). Th…
This dataset presents a curated collection of high-resolution wheat seed images developed to advance automated quality assessment in agricultural grain inspection. Captured at the individual seed level, the dataset enables fine-grained classification between healthy seeds and mul…
This dataset contains anonymised responses from an online qualitative survey examining how Nigerian university students use generative artificial intelligence (GenAI) tools such as ChatGPT and Meta AI for self-diagnosis and health management. The survey was completed by 196 respo…