Earth observations and model simulations are generating big multidimensional array-based
raster data. However, it is difficult to efficiently query these big raster data due to the …

The volume, variety, and velocity of different data, eg, simulation data, observation data, and
social media data, are growing ever faster, posing grand challenges for data discovery. An …

Log monitoring and analysis plays critical role in identifying events and traces to understand
system behaviour at that point in time and to ensure predictive, corrective actions if required …

Finding geospatial data has been a big challenge regarding the data size and heterogeneity
across various domains. Previous work has explored using machine learning to improve …

Discovering and accessing geospatial data presents a significant challenge for the Earth
sciences community as massive amounts of data are being produced on a daily basis. In this …

Log generation is a continuous process that generates large amounts of log data in various
forms and rates that may be analysed to acquire valuable insights. Various open-source and …

Urban system, as a sub-component of the Earth system, is complex and dynamic being
composed of numerous interactions among natural, human-built, and social entities (**g et …

Finding Earth science data has been a challenging problem given both the quantity of data
available and the heterogeneity of the data across a wide variety of domains. Current search …