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    Invertebrates dominate the animal world in terms of abundance, diversity and biomass and play critical roles in maintaining ecosystem function. Despite their obvious importance, disproportionate research attention remains focused on vertebrates, with knowledge and understanding of invertebrate ecology still lacking. Due to their inherent advantages, usage of camera traps in ecology has risen dramatically over the last three decades, especially for research on mammals. However, few studies have used cameras to reliably detect fauna such as invertebrates or used cameras to examine specific aspects of invertebrate ecology. Twenty-four Reconyx PC800 HyperfireTM cameras were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment) in the Simpson Desert, south-western Queensland, capturing 372 time-lapse images of Wolf spiders (Family Lycosidae). Images were tagged with camera location, position, angle, camera ID and presence of lycosids. Additionally, spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights with a total of 352 lycosids observed. This data set was used to determine whether: 1) camera traps provide a viable method for detecting wolf spiders, 2) diel activity patterns of the spiders can be ascertained, and 3) patterns in spider activity vary with environmental conditions, specifically between burned and unburned habitats and the crests and bases of sand dunes. This data presents a useful example of the utility of cameras as a tool for determining the diel activity patterns and habitat use of larger arthropods such as wolf spiders. Please note: Camera trap images are not provided and only species occurrence records are included. Also, image files were renamed after collection, resulting in a number versus time conflict. However, dates and times of sightings provided are correct.

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    The authors analysed 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.

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    <p>This dataset contains audio files for TERN Calperum Mallee SuperSite. Two acoustic recorders were set up to each record for a total of 12 hours per day, split between six hours around dawn and six hours around dusk. The recording schedule aimed at capturing morning and evening bird choruses while minimizing memory and battery requirements. One recorder was located at the Flux tower site on the gentle slope of a sand hill, while the second recorder was located in a swale area between sand hills about a kilometre from the Flux tower.</p> <p>Long-term recordings of the environment can be used to identify sound sources of interest, characterise the soundscape, aid in the assessment of fauna biodiversity, monitor temporal trends and track environmental changes.</p> <p>Calperum Mallee SuperSite was established in 2010 and is located on Calperum Station, near Renmark, in South Australia. The property was a pastoral grazing lease for nearly 150 years, and suffered grazing-induced modifications to its ecosystems that are now being actively restored following removal of sheep in 1994. The area includes mallee woodlands (a significant amount was burnt in January 2014) and riverine vegetation. The mallee species are multi-stemmed Eucalyptus trees (<em>Eucalyptus dumosa</em>, <em>E. incrassata</em>, <em>E. oleosa</em> and <em>E. socialis</em>) while the sparsely distributed mid-storey species come from <em>Eremophila</em>, <em>Hakea</em>, <em>Olearia</em>, <em>Senna</em> and <em>Melaleuca</em> genera. The spaced understory is predominately clumps of spiny grass (<em>Triodia spp.</em>). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/calperum-mallee-supersite/.</p>

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    <p>Fixed cameras installed at the Calperum Mallee SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products. </p> <p>Images are captured half hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on an almost real-time basis. </p><p> The Calperum Mallee SuperSite was established in 2011 and is located on Calperum Station, near Renmark, in South Australia. The property was a pastoral grazing lease for nearly 150 years, and has suffered grazing-induced modifications to its ecosystems that are now being actively restored. It includes mallee woodlands (burnt in 2014) and riverine vegetation. The main plant species are black box, river red gum and lignum. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/calperum-mallee-supersite/ . </p><p> Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape and ancillary images of fauna and flora.</p>

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    The dataset provides information on soil chemistry from a 10 year chronosequence sample of restoration in southern Australia. The parameters include: A) Physical properties- Soil moisture (%), Gravel (%) - ( >2.0 mm), Soil Texture, i.e.Course Sand (%) (200-2000 µm), Fine Sand (%) - (20-200 µm), Sand (%), Silt (%) (2-20 µm), Clay (%) (<2 µm), and B) Chemical properties- such as, Ammonium Nitrogen (mg/Kg), Nitrate Nitrogen (mg/Kg), Phosphorus Colwell (mg/Kg), Potassium Colwell (mg/Kg), Sulphur (mg/Kg), Organic Carbon (%), Conductivity (dS/m), pH (CaCl2), pH (H2O), DTPA Copper (mg/Kg), DTPA Iron (mg/Kg), DTPA Manganese (mg/Kg), DTPA Zinc (mg/Kg), Exc. Aluminium (meq/100g), Exc. Calcium (meq/100g), Exc. Magnesium (meq/100g), Exc. Potassium (meq/100g), Exc. Sodium (meq/100g) and Boron Hot CaCl2 (mg/Kg). This data would have application for land managers. The soil chemistry data is also related to the eDNA OTU table published on "https://doi.org/10.4227/05/5878480a91885", titled "Revegetation rewilds the soil bacterial microbiome of an old field. Part 1: OTU raw data matrix", and as such it would have an appeal to researchers undertaking a meta-analysis on eDNA and restoration outcomes.