Knowledge on the spatial distribution and inter-specific association patterns in tree species is essential in plant ecology to understand ecological mechanisms and dynamic process operating in spatial distribution of a tree population in a plant community. We measured and compiled datasets on three tropical tree species from a moist semi deciduous forest. We used the software Programita to perform univariate and bivariate point pattern analysis by Ripley's L-function. These datasets can be used to inform on possibilities of interaction of these species in forest stands. These datasets can be also used to access the capacity of each tree of <i>Mansonia altissima</i> var. <i>altissima</i> A. Chev. to develop and grow or its exclusion probability within a plant community. <i>Mansonia altissima</i> A. Chev. is a plant species represented by only one-population in a moist semi-deciduous forest in Republic of Benin. Our project aims to understand its ecology for restoration and conservation purposes within its natural habitat as well as other habitats inside of its distribution range.

The TERN citizen science fauna monitoring pilot project aims to collect long-term monitoring data using the TERN standard monitoring protocol for birds. In May 2021, TERN launched a citizen science project designed to monitor bird biodiversity at the Samford Ecological Research Facility (SERF) in peri-urban Brisbane, Queensland, Australia, in collaboration with Queensland University of Technology and the Samford Eco-Corridor community group. Bird monitoring is undertaken quarterly by citizen scientists using TERN standardised monitoring protocols which are based on the Birds Australia systematic bird survey ‘2&nbsp;ha 20&nbsp;minute search’ method.

The dataset comprises data from the first survey of ~24,000 large trees (>10 cm diameter at breast height; DBH) within 48 1 ha forest monitoring plots established across Australia between 2011 and 2015. Data includes: [1] Site identifiers (ID and Site Name); [2] Plot Establishment Dates; [3] Tree identifiers and descriptors (ID, Species, Status, Growth Stage, Crown Class); [4] Tree measurements (Diameter, Point of Measurement, Height, Location, above-ground biomass); [5] Comments and ancillary information; and [6] List of Metagenomic Sample Identifiers.