Title of the dataset: Anticipatory Drainage Base Management for Groundwater Level Optimization [Data Set] Creators: Daniël van de Craats Contributors: Sjoerd E.A.T.M. van der Zee Anton Leijnse Related publication: van de Craats, D., van der Zee, S.E.A.T.M., & Leijnse, A. (2021). Anticipatory Drainage Base Management for Groundwater Level Optimization. Description: This dataset includes both source code (in R) and data underlying the related publication, which is used to make analytical and numerical approximations of the groundwater level midway between the drains in a tile-drained field under controlled drainage. Both steady and transient simulations can be made, and active management of the drainage base is possible. When using the data, cite it as follows: van de Craats, D., van der Zee, S.E.A.T.M., & Leijnse, A. (2021). Anticipatory Drainage Base Management for Groundwater Level Optimization [Data Set]. Please also cite the related publication if this data or source code is used. Keywords: Controlled drainage Groundwater level modeling Groundwater management This dataset contains the following files: Source code: a folder containing source code for creating both numerical and analytical solutions in steady state or transient situations for flow in a tile-drained field with controlled drainage. Data files: five folders containing both input and core results used in the related publication. Methods, materials and software: Source code was run in R version 3.5.3, using additional software packages: SUTRA v2.2 (Voss, C. I., and Provost, A. M. (2002). SUTRA, a model for saturated-unsaturated variable-density groundwater flow with solute or energy transport (version september 22, 2010) (No. Report 02-4231; p. 291). US Geological Survey, Water Resources Investigations.) Gmsh version v3.02 (Geuzaine, C., and Remacle, J. F. (2009). Gmsh: A 3‐D finite element mesh generator with built‐in pre‐ and post‐processing facilities. International Journal for Numerical Methods in Engineering, 79(11), 1309–1331. https://doi.org/10.1002/nme.2579) MinGW This dataset is published under the CC BY (Attribution) license. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.