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HOSSAIN, ARMAN Food Commodity Price (OHLC) Dataset of Bangladesh Mendeley Data The Food Commodity Price (OHLC) Dataset of Bangladesh is a preprocessed and integrated multivariate time-series dataset designed for agricultural commodity price forecasting, market volatility analysis, and agro-climatic machine learning research. The dataset integrates historical market price records with station-mapped meteorological indicators across 76 local markets spanning all 8 administrative divisions of Bangladesh (Dhaka, Chittagong, Rajshahi, Khulna, Barisal, Sylhet, Rangpur, and Mymensingh). Dataset Structure and Attributes (12 Columns): 1. Date: Standardized temporal timestamp of the monthly record. 2. Region: Administrative division in Bangladesh (8 divisions). 3. Market: Specific local market identifier (76 markets). 4. Product: Essential staple food commodity category (rice, wheat_flour, lentils, and oil). 5. WindSpeed: Average wind speed (m/s). 6. Temperature: Representative mean air temperature (degrees Celsius). 7. Rainfall: Total monthly rainfall (mm). 8. Humidity: Relative humidity (%). 9. Open: Monthly opening market price. 10. High: Monthly highest market price. 11. Low: Monthly lowest market price. 12. Close: Monthly closing market price (primary target variable for forecasting). All records have been systematically cleaned, spatially aligned between markets and nearest weather stations, and processed through a hierarchical missing-value imputation pipeline to ensure zero null values for direct use in statistical, machine learning, and deep learning pipelines. Citation and Associated Publication: If you use this dataset in your research, please cite this Mendeley Data repository (mandatory under CC BY 4.0). Additionally, to reference the spatial station-mapping methodology, hierarchical imputation pipeline, and baseline deep learning benchmarks, please also cite our associated IEEE conference paper: 1. Dataset Citation (Mandatory under CC BY 4.0): Hossain, Arman; Palas, Md. Rajibul; Quader, Montaser Abdul; Alam, Md. Shoab; Quader, Mozdaher Abdul (2026), "Food Commodity Price (OHLC) Dataset of Bangladesh", Mendeley Data, V1, doi: 10.17632/dd58ks2p5y.1. 2. Associated IEEE Paper Citation (Methodology & Benchmark Reference): A. Hossain, M. R. Palas, M. A. Quader, M. S. Alam, and M. A. Quader, "GRU-Based Time-Series Forecasting of Agricultural Commodity Prices Using Market and Climate Data," in 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Chittagong, Bangladesh, 2026, pp. 1-7, doi: 10.1109/QPAIN69676.2026.11546003. Agricultural Commodity Market Machine Learning Time Series Forecasting Climate Data Price Forecasting Deep Learning Palas, Md. Rajibul Quader, Montaser Abdul Alam , Md. Shoab Quader , Mozdaher Abdul Dataset doi:10.17632/dd58ks2p5y.1 oai:data.mendeley.com/dd58ks2p5y.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/dd58ks2p5y 2026-09-24T23:35:20Z