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Abstract

This dataset contains 92 estimates from individual studies for groundwater recharge rates on the Arabian Peninsula. Following information is sorted for each study: Location information: Country, Latitude*, Longitude* Estimated groundwater recharge rate: Representative value, Lower/Upper estimate range (all in mm/yr) Estimating methods** Scale of study: Aquifer scale, Study period, Study years Credibility***: Confidence, Confidence criteria (*) Location information was set as the middle point of the study area, in case that spatial coordinates are not given by the authors. (**) If more than 1 methods were used for the estimation, additional methods were written in "Method_2" (***) Confidence of estimates was evaluated by the same criteria used in another meta-study for the African continent (MacDonald et al. 2021; https://doi.org/10.1088/1748-9326/abd661) This dataset has been used to train the neural network model targeting global-scale estimation of groundwater recharge rate together with datasets used in other meta-studies. More detailed information is provided in the paper "Can eXplainable AI offer a new perspective for groundwater recharge estimation? – Global-scale modeling using neural network“.