Antibiotic resistance in Bangladesh aquaculture: evidence map dataset, codebook and analysis code

This deposit contains the coded dataset, codebook and analysis code for a systematic review and evidence map of antibiotic resistance research in Bangladesh aquaculture. The map covers 76 peer-reviewed studies published between 2016 and 2025. Each study is coded for geography, species and production system, pathogens and resistance findings, research focus, and policy- and stakeholder-relevant dimensions. The dataset has one row per study and 34 variables, supplied as an Excel workbook and as UTF-8 CSV. The codebook defines every variable and the rules for the variables derived by the script. Read it before reusing the data. The R script, analysis.R, reproduces the statistics, tables and trend tests reported in the article from the dataset alone. A small number of counts made manually by the authors are not computed by the script, and the README lists them. The file expected_output.txt holds the console output of a verified run so you can check your own. The script needs R (4.3 or later) with the packages readxl, mclust, cluster and boot. The figure_scripts.zip holds the Python scripts that build the PRISMA flow diagram (Figure 1) and the graphical abstract. The dataset can be extended as new studies appear, by adding rows that follow the codebook. Data and documentation are released under CC BY 4.0, and the code under the MIT licence (see the LICENSE file). Companion deposit to: Islam, S. R., Khanom, H., Reza, M. J., Ahsan, M. E., Alam, M. M., Aziz, M. S. B., Hasan, N. A., Jørgensen, N. O. G., & Haque, M. M. Antibiotic Resistance in Bangladesh Aquaculture: A Systematic Review, Evidence Map, and Research-Policy Agenda. Reviews in Aquaculture.