The objective of our research program is to better understand and improve nitrogen (N) use efficiency in maize. One of these strategies was to study the impacts of environmental conditions, and allelic variation of the cytosolic glutamine synthetase enzyme on maize hybrid kernel production.

We release a 306-channel MEG-BCI data recorded at 1KHz sampling frequency during four mental imagery tasks (i.e. hand imagery, feet imagery, subtraction imagery, and word generation imagery). The current dataset is the only publicly available MEG imagery BCI dataset as per our knowledge.

A database to redress the shortage of agronomy data in a rapidly changing world.

As our climate changes, plants using different ways to convert CO2, sunlight, & water into food, known as photosynthetic pathways, will have to ‘migrate’ to new habitats to survive. This problem inspired the creation of a new data set that lists the photosynthetic pathway > 2400 Australian species.

Merging long-term records of aerosol loading creates a high-quality, useful dataset for a continental site.