Imagine if different datasets could be easily aggregated, leading to new analyses and interpretation. Imagine getting new and better meaning from vast amounts of data. Here we give you a glimpse of the possibilities in a world where semantic interoperability (from FAIR data) provides new meaning, through easy querying, organization, and aggregration of varied but related data. Explore semantically-enabled and standards-compliant datasets by running a few queries as suggested below.


GARDIAN, please give me data for:

  • maize yields under *complete* and *no* fertilisation in < selection >
  • yields of not-improved in < selection >
  • maize yields in < selection >
  • avg. maize yields of conservation vs. conventional practice in < selection >
  • avg. maize yields of conservation vs. conventional tillage process in clay soil in < selection >