This is the Super Map presented in its original form as a tabular data set. It has been produced by Work Package 6 for the HYBRIDA Project ("Embedding a comprehensive ethical dimension to organoid-based research and resulting technologies") as part of Deliverable 6.1: "Systematic and Structured Gap Analysis". The Super Map is based on an integration of the mapping of organoid activities produced by WP2 (Task 2.1/D2.1) and the mapping of regulatory frameworks produced by WP3 (Tasks 3.2/3.3/D3.1/D3.2). It shows how and in what ways organoid procurement, derivation, research, and medical application activities are regulated both internationally and by the European Union/European Commission. The Super Map should be read in conjunction with D6.1: "Systematic and Structured Gap Analysis". The HYBRIDA project has been funded with support from the European Commission (Project No: 2018-1-IT02-KA201-048047; Grant Agreement No: 101006012).

The farmland ridge coefficient refers to the proportion of farmland ridge area to farmland area, which is an important indicator for evaluating farmland utilization efficiency and guiding land management. The 1km grid farmland ridge coefficient is a refined expression of farmland ridge distribution based on spatial resolution (1km × 1km grid units), and is an indicator reflecting the spatial proportion of farmland ridges in farmland. It provides a reference basis for refined farmland utilization evaluation, land consolidation and planning, ecological protection and agricultural production coordination research. This article uses the cultivated land and field ridge graphics in the county-level database of the 2020 Land Change Survey, as well as the 1km grid vector data in China. The SuperMap GPA model tool is used to calculate the grid space and obtain the 2020 1km grid cultivated land field ridge coefficient dataset in China. We have implemented comprehensive quality control and inspection measures at various stages of data processing, including vector data extraction, data concatenation, and calculation of kilometer grid field slope coefficients, to ensure the correctness, completeness, and consistency of the data. This dataset can be used for research on farmland production capacity assessment, land consolidation and planning, agricultural landscape design and optimization, and other related fields.