These data were collected as a part of the masters’ degree of the first author. The study investigated the effects of landscape configuration of the Amazonian White-Sand Campina on the richness, composition and endemism of vascular plants. 1. “rawdata” = data of the sample effort with all plant registered in wide-patrolling sampling technique. Variables name and description Landscape = landscape name Sample = sample point identification Longitude = sample point longitude Latitude = sample point latitude Collector = collector name TimeInterval = 15 minute interval identification Voucher = specimen identification Family = family of the specimen Specie = specimen identification 2. “metrics” = white-sand campina amount inside circular buffer around the sample point. Variables name and description Landscape = landscape name Sample = sample point identification WSC_500 = cumulative white-sand campina area in 500 m buffer (in m2) WSC_1000 = cumulative white-sand campina area in 1000 m buffer (in m2) WSC_2500 = cumulative white-sand campina area in 2500 m buffer (in m2) WSC_5000 = cumulative white-sand campina area in 5000 m buffer (in m2) WSC_7500 = cumulative white-sand campina area in 7500 m buffer (in m2) WSC_10000 = cumulative white-sand campina area in 10000 m buffer (in m2) Richness = species richness of the sample point after rarefaction 3. “rasters” = list of raster files categorized as white-sand campina and matrix. 4. “simIndex” = habitat availability among all pairs of points within each landscape. Each landscape has a list containing lists with 500, 1000, 2500, 5000, 7500, 10000 m buffers on the line between each pair of points.