This data set contains the count data of reptiles captured through pitfall and funnel trapping in surveys of grazing agricultural properties in the Central Tablelands of NSW, Australia. Experimental treatments were examined and additional environmental variables were recorded. Each of the 12 sites (farms) was surveyed five times, once between January and March 2014 and four times between October 2014 and March 2015. Each survey consisted of five trap nights. In total 5,040 traps were surveyed giving a combined total of 25,200 trapping nights. 1,242 captures were recorded from 28 species of reptiles. The majority of the species (19) were from the family Scincidae.

The data set contains count data of amphibians from surveys of grazing properties in the Central and Southern Tablelands of NSW, Australia. Amphibians were surveyed using pitfall and funnel trapping along transects. Twelve properties were surveyed for the data set. Each property was surveyed 5 times for five trap nights on each survey between 2014 and 2015. A total of 2378 amphibians were captured from 11 different species during the surveys. All species captured were from one of three families: Limnodynastidae (three species), Myobatrachidae (four species) and Hylidae (four species).

The QBEIS survey database (formerly CORVEG) contains ecosystem physical and vegetation characteristics, including structural and floristic attributes as well as descriptions of landscape, soil and geologic features, collected at study locations across Queensland since 1982. The resulting survey database provides a comprehensive record of areas ground-truthed during the regional ecosystems mapping process and a basis for future updating of mapping or other relevant work such as species modelling.<br /><br /> Only validated survey data is made publicly available and all records of confidential taxa have been masked from the dataset. Data is accessible from the TERN Data Infrastructure, which provides the ability to extract subsets of vegetation, soil and landscape data across multiple data collections and bioregions for more than 100 variables including basal area, crown cover, growth form, stem density and vegetation height.