Data and code for: Comparison of conceptual, machine learning and hybrid models for streamflow simulation, forecasting and flood warning through the stage–discharge relationship in the sparsely gauged Tien Yen River basin, Vietnam

Code and data of the paper by Tran Tuan Thach, "Comparison of conceptual, machine learning and hybrid models for streamflow simulation, forecasting and flood warning through the stage–discharge relationship in the sparsely gauged Tien Yen River basin, Vietnam" (Water Practice and Technology, manuscript WPT-D-26-01069, revision 1). The archive holds the daily hydro-meteorological records of Binh Lieu and Tien Yen stations (original Excel tables and the processed series used for modelling, 1984–2024), the simulations and forecasts of all twenty model configurations, the result files of the original analyses and of the revision, and the Python code that reproduces every configuration, every table and Figures 3–11 and S1–S3 of the paper (one script per figure and per table). Figure 1 (basin map drawn in ArcGIS) and Figure 2 (workflow schematic) are not data products and their code is not included. Every script carries the author's name in its header. The archive is split into four zip files: (1) code for the models and the revision analyses; (2) code and data for the figures and tables; (3) processed data; (4) original Excel records and result files. README.md describes the contents and how to run the scripts. The archived ECMWF ensemble forecasts (TIGGE) are not redistributed; a script retrieves them from the ECMWF Data Store. Hydro-meteorological records were provided by the National Centre for Hydro-Meteorological Forecasting (Vietnam). Please cite the paper and this archive when using the data or code.