Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Abstract: Hyperspectral image change detection plays an important role in ground observation tasks, making full use of the rich spectral and spatial information in the bitemporal hyperspectral to ...

DAAAM enhances autonomous systems' spatiotemporal capabilities by integrating real-time 4D scene graphs with rich language ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Sea Surface Temperature (SST) timeseries are available from 1900 for a number of regions around Australia and globally. These timeseries include ocean surface temperatures only and do not include any ...

Australian and regional rainfall timeseries are available from 1900 for annual, financial year, seasonal and monthly rainfall, as well as for the southern (April–November) and northern (October–April) ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...