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.
NightLPD-BD is a real-world nighttime vehicle license plate dataset comprising 401 images collected from urban roadside environments in Dhaka, Bangladesh. The dataset includes manually annotated license plate regions using both bounding box and polygon segmentation annotations, p…
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 dataset contains a curated collection of 153 concrete mixtures compiled from 21 peer-reviewed international studies investigating the use of iron ore tailings (IOT) as fine aggregate in concrete. The dataset was developed through a systematic literature review and standardiz…
This dataset contains responses from a structured questionnaire-based survey designed to investigate the relationship between automation/technology dependency and physical fitness decline among university undergraduate students in Bangladesh. The survey was administered as a bili…