10.7910/DVN/C0J5BB Hoffmann, Holger Holger Hoffmann Enders, Andreas Andreas Enders Siebert, Stefan Stefan Siebert Gaiser, Thomas Thomas Gaiser Ewert, Frank Frank Ewert Harvard Dataverse 2016 N/A Agriculture Land Use Crop Modelling Aggregation effects climate crop simulation input data model comparison soil, scaling soil and climate data Gang Zhao, Crop Science, University of Bonn 2016-03-23 2016-03-27 Data Set 10.7910/DVN/C0J5BB/IJCUUE 10.7910/DVN/C0J5BB/16HWM9 1126694 1880877887 1992294400 1504521868 application/x-gzip application/octet-stream application/octet-stream application/x-7z-compressed 3.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. This dataset contains interpolated and aggregated soil and climate data of the region of North Rhine-Westphalia (Germany). The data is provided for grids of 1, 10, 25, 50 and 100 km resolutions. These data grids represent spatial aggregations of the climate of approximately 1 km resolution and soil data of approximately 300 m resolution raster. The purpose of this data is the use as input for crop models. It thus contains the key relevant soil and climate variables for running crop models. Additionally, the data is specifically designed to analyze effects of scale and resolution in crop models, e.g. data aggregation effects. It has been used for several studies on spatial scales with regard to different scaling approaches, crops, crop models, model output variables, production situations and crop management among others. North Rhine-Westphalia, Germany,