- [ ] Floristic Composition, Structure and Diversity of Riparian Forests in Southwestern Nigeria: Conservation is Inevitable Brief summary of dataset contents, contextualized in experimental procedures and results. The data provides information on the floristic composition, diversity and structures of riparian forests in Southwestern Nigeria Description of the Data and file structure This is a freeform section for you to describe how the data are structured and how a potential consumer might use them. Be as descriptive as necessary. Keep in mind that users of your data might be new to the field and unfamiliar with common terminology, metrics, etc. The basal area, density, species important index and disturbances data were all provided in the excel spread sheet. this provided the structures of the riparian forest sites studied. column I-X provided information on the sites studied which is designated as Ifetedo, Ilesha, Osu, Famia, Ibodi, Tonkere Gbongan, Edunabon and Ipetumodu sites respectively. The column with mean/sites indicates the mean values of the parameters considered in the horizontal, while the sites are indicated in the vertical. Describe relationship between data files, missing data codes, other abbreviations used. Be as descriptive as possible. The data files provides information on the links between composition, diversity and structures of the riparian forests in Southwestern, Nigeria towards conservation. Data on disturbance scores, floristic composition,structural parameters: density,frequency, basal area and species important values index for each sites are indicated in the data provided in the excel sheet. the Coresponding analysis (CCA) as well as Detrended analysis (DCA) were used to assess which of the parameters studied i.e DS= disturbance scores; SDEN= species density (meter squares per hectares); SDIV = shannon-weiner species diversity; SEV= pielou species eveness and SDO= species dominance exerted the most influence on the floristic compositions of the studied riparian forests in Southwestern, Nigeria. ## Sharing/access Information Links to other publicly accessible locations of the data: Doi:10.1111/njb.03723 Was data derived from another source? If yes, list source(s): NO