To provide a high-resolution, longitudinal global data set of annual extreme humid-heat.

To provide global estimates of the surface urban heat island intensity from monthly, seasonal, to annual scales for over 10,000 urban clusters developed using a simplified urban-extent algorithm.

To provide a high-resolution, longitudinal global data set of extreme urban heat events and urban heat exposure.

To provide a global data set of average summer daytime maximum/nighttime minimum land surface temperatures (LSTs) for urban extents, as well as the LST difference between the urban area and the buffer.

To provide raster representations of global summer daytime maximum and nighttime minimum surface temperature for studies related to human health and climate change.