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.

We generated a total of 2,313,977 16S archaeal raw reads across the 36 replicates (64,277 ± 23,335 SD per replicate). A total of 2,299,955 archaeal sequences (63,888 ± 23,473 SD per replicate) and 1,937 archaeal OTUs (54 ± 20 SD per replicate) remained for further analysis after quality filtering. The OTU data provide information on archaeal flux at an active restoration site at Mt Bold, a water catchment reserve of the Mt Lofty Ranges in South Australia, through a stagger of years and can be used accordingly.

We present a High-throughput eDNA dataset of fungi to track functional recovery in ecological restoration in the form of an OTU raw data matrix. We generated a total of 4,993,144 ITS fungal raw reads (118,884 ± 42,210 SD per replicate) across the 42 replicates. A total of 4,955,680 fungal sequences (117,430 ± 42,164 SD per replicate) remained for further analysis after quality filtering. The OTU data provide information on fungal flux at this restoration site through a stagger of years and can be used accordingly.

The authors analyzed a total of 3,002,411 quality-filtered bacterial 16S rRNA gene sequences in the 48 technical replicates across 8 revegetation chronosequence sites, consisting of 3,316 OTUs. Nine bacterial phyla dominated this dataset, including Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Firmicutes, Gemmatimonadetes, Planctomycetes, Proteobacteria and Verrucomicrobia.The OTU data provide information on bacterial flux at this restoration site through a stagger of years and can be used accordingly.