This dataset contains global dryland literature abstracts from over the last 75 years (8218 articles) to identify areas in arid ecology that are well studied and topics that are emerging.

The Australian Phenology Product is a continental data set that allows the quantitative analysis of Australia’s phenology derived from MODIS Enhanced Vegetation Index (EVI) data using an algorithm designed to accommodate Australian conditions, described in Xie et al. 2023. The product can be used to characterize phenological cycles of greening and browning and quantify the cycles’ inter and intra annual variability from 2003 to 2018 across Australia. Phenological cycles are defined as a period of EVI-measured greening and browning that may occur at any time of the year, extend across the end of a year, skip a year (not occur for one or multiple years) or occur more than once a year. Multiple phenological cycles within a year can occur in the form of double cropping in agricultural areas or be caused by a-seasonal rain events in water limited environments. Based on per-pixel greenness trajectories measured by MODIS EVI, phenological cycle curves were modelled and their key properties in the form of phenological curve metrics were derived including: the first and second minimum point, peak, start and end of cycle; length of cycle, and; the amplitude of the cycle. Integrated EVI under the curve between the start and end of the cycle time of each cycle is calculated as a proxy of productivity.

<p>Digital Cover Photography (DCP) upward-looking images are collected three times per year to capture vegetation cover at Gingin Banksia Woodland SuperSite. These images can be used to estimate Leaf Area Index (LAI). </p> <p> The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by banksia species. </p><p> Other images collected at the site include digital hemispherical photography (DHP), photopoints, phenocam time-lapse images taken from fixed under and overstorey cameras, and ancillary images of fauna and flora. </p>

This data contains a list of all vascular plants surveyed in the Whroo Dry Eucalypt site in 2013.

This data contains a list of all vascular plants surveyed in the Tumbarumba Wet Eucalypt site in 2015.

This data contains a list of all vascular plants surveyed in the Great Western Woodlands site between 2013 - 2016.

<br>This dataset lists the parameters associated with disturbance from Rangeland sites across Australia described by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> <br> For each site, the disturbance parameters such as erosion type, state of erosion, extent of erosion is studied following the AusPlots Plot Description protocol and becomes an important part of understanding the site disturbance in the AusPlots Rangelands.<br />

This dataset consists of counts for multiple plant species obtained from the Ethabuka Station and Carlo Reserve in the Simpson Desert, Australia, from 2004-2013 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists rainfall data obtained from 2004-2012. These datasets were used to perform a Dynamic Factor Analyses for the manuscript, "Life form explains consistent temporal trends across species: the application of dynamic factor analysis". For more information see: DERG; https://www.desertecology.edu.au.

The lesser hairy­footed dunnart (<i>Sminthopsis youngsoni, Dasyuridae</i>) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (<i>Lycosa spp., Lycosidae</i>) disproportionately often relative to their availability. Here, we tested whether lycosids have relatively high energy or nutrient contents compared to other invertebrates, and hence whether these aspects of food quality can explain selective predation of lycosids by <i>S.youngsoni</i>. Energy, lipid and protein composition of representatives of 10 arthropod families that are eaten by <i>S. youngsoni</i> in the Simpson Desert were ascertained using microbomb calorimetry, chloroform-methanol extraction and Dumas combustion. Differences between invertebrate groups were assessed using separate analyses of variance (ANOVAs) and appropriate post-hoc tests. These analyses were performed using this data.

The datafile contains the composition and abundance of airborne pollen for the location of Murdoch University, Perth, Australia. The data was collected for the period between September 2006 to December 2006 as part of a study of atmospheric particles and human health. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas”).