The dataset contains top-of-canopy height before and after the 2015-15 El Niño Southern Oscillation (ENSO) event across a human-modified tropical landscape in Malaysian Borneo. The derived changes in top-of-canopy height from 36,655 repeated measurements were investigated. Data were obtained from airborne LiDAR in November 2014 and April 2016. Topographic Position Index and distance from oil palm plantations are also included to investigate the effects of topography and fragmentation on the canopy height change during the ENSO event. Each observation (pixel) contains the coordinates to assess the spatial effects on canopy changes. Full details about this dataset can be found at https://doi.org/10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797

This data set includes longitudinal abundance of dung beetles at dung-baited pitfall traps, recorded in 2010, 2016 and 2017 (around six years before, six months after and 18 months after the 2015-16 El Niño event, respectively) in the Brazilian Amazon region. Dung beetles were collected during the collaborative projects AFIRE (Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems) and ECOFOR (Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests), which are part of the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at https://doi.org/10.5285/799db965-3ce7-4e9b-8590-de6a8624d652