The CRUTS v4 dataset is a high-resolution, monthly gridded climate dataset covering land areas worldwide (excluding Antarctica) from 1901 to 2018. It is derived from weather station observations and uses angular-distance weighting (ADW) for interpolation, improving traceability and accuracy. The dataset includes ten variables, such as temperature, precipitation, and vapour pressure, and provides detailed metadata for quality control. CRUTS v4 incorporates updated station observations and uses ADW for interpolation, which enhances the dataset's reliability and allows for more informative diagnostics. The dataset is used in various applications, including climate research, agriculture, and insurance. It is available in multiple formats, including NetCDF and ASCII text, and is accessible via the CRU website and the Centre for Environmental Data Analysis. The dataset has been validated against other climate datasets, showing good agreement in most regions. However, it is not suitable for assessing global climate change trends due to potential trend artifacts. The dataset includes synthetic variables, such as VAP and WET, which are derived from primary variables and improve land cover. The CRUTS v4 dataset is a valuable resource for climate research and applications, providing high-resolution, monthly climate data for land areas worldwide.The CRUTS v4 dataset is a high-resolution, monthly gridded climate dataset covering land areas worldwide (excluding Antarctica) from 1901 to 2018. It is derived from weather station observations and uses angular-distance weighting (ADW) for interpolation, improving traceability and accuracy. The dataset includes ten variables, such as temperature, precipitation, and vapour pressure, and provides detailed metadata for quality control. CRUTS v4 incorporates updated station observations and uses ADW for interpolation, which enhances the dataset's reliability and allows for more informative diagnostics. The dataset is used in various applications, including climate research, agriculture, and insurance. It is available in multiple formats, including NetCDF and ASCII text, and is accessible via the CRU website and the Centre for Environmental Data Analysis. The dataset has been validated against other climate datasets, showing good agreement in most regions. However, it is not suitable for assessing global climate change trends due to potential trend artifacts. The dataset includes synthetic variables, such as VAP and WET, which are derived from primary variables and improve land cover. The CRUTS v4 dataset is a valuable resource for climate research and applications, providing high-resolution, monthly climate data for land areas worldwide.