This dataset contains data on the use of nest boxes by yellow-tailed black-cockatoos on Kangaroo Island (binary response variable; 1 = used in a breeding season, 0 = not used in a breeding season) for nest boxes monitored between 2015-2017 and again in 2020-2023 and the year of monitoring. In addition to this, data was sourced via spatial analysis and remote sensing on the distance to mature Pinus radiata plantation, distance to banksia dominated habitat, and amount of native vegetation within a 10km radius to approximate human disturbance and fragmentation. The name of nest boxes is included, and each nest's spatial location can be identified by this name on a separate Kangaroo Island Landscape Board spatial dataset. The spatial location of nests has been withheld as they identify important breeding sites for endangered bird species.

The dataset includes three csv files: [1] effects of pre-inhabitation and viruses on the feeding behavior of <i>Rhopalosiphum padi</i> and <i>R. maidis</i> (min). [2] effects of pre-inhabitation and viruses on the fecundity of<i> R. padi</i> and <i>R. maidis</i> (total offspring in laboratory and field). [3] effect of pre-inhabitation and viruses on the host plant nutrient content (amino acids, total sterols, and simple sugars-mg/g). These data might be used by researchers studying positive interactions, effects of viruses on host plants and vectors, phytochemistry of the wheat plant, and feeding behavior of phloem-feeders.

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.

The record contains information on the number of aphids and chemical footprints of two aphid species. The data was collected in field and laboratory trials, we first examined how plant microsites alter fitness by measuring the fecundity of each species. Next, we tested whether intra- and interspecific pre-inhabitation modify habitat selection in two aphid species. Then we conducted laboratory trials showed that <i>R. maidis</i> displaced <i>R. padi</i>. Through gas chromatography-mass spectrometry analysis and bioassays testing the effects of aphid density and footprint extracts, we found a density-dependent response, with <i>R. padi</i> avoiding locations previously inhabited by <i>R. maidis</i>. Chemical analysis of footprint crude extracts showed a highly abundant compound, 1-hexacosanol, and when presented as the synthetic form also elicited <i>R. padi</i> displacement.

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.

<p>This dataset contains audio files from Robson Creek Rainforest SuperSite. The 25 hectare site lies on the Atherton Tablelands in the wet tropical rainforests of Australia at 680-740&nbsp;m elevation. It is situated in Danbulla National Park within the Wet Tropics World Heritage Area. The forest is classified as Regional Ecosystem (RE) 7.3.36a, complex mesophyll vine forest. The climate is seasonal with approximately 60% of rain falling between January and March and the landform is moderately inclined with a low relief. There are 208 species in the site, and maximum canopy height is 44&nbsp;m. All stems ≥ 10&nbsp;cm diameter are measured, tagged and mapped. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/robson-creek-rainforest-supersite">Robson Creek Rainforest SuperSite</a></p> <p>In 2020 four acoustic recorders were set up to collect audio data continuously as part of the Australian Acoustic Observatory (A2O) project. Two recorders were placed in relatively wet habitats and two in relatively dry habitats.</p>

<p>This dataset contains audio files for TERN Tumbarumba Wet Eucalypt SuperSite. 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>Tumbarumba SuperSite was established in 2000 by CSIRO and started measurements in 2001. The 1 ha SuperSite plot was established in 2015 in a collaboration with TERN. The overstorey is dominated by <em>Eucalyptus delegatensis</em> (Alpine Ash) and <em>Eucalyptus dalrympleana</em> (Mountain Gum). For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/tumbarumba-wet-eucalypt-supersite/ .</p> <p>In 2012 two acoustic recorders were set up to collect audio data 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. A long-term spectrogram has been generated for each audio file to aid in data exploration. The sensors also recorded temperature, minimum- maximum- and mean-sound pressure levels. </p> <p>Data are made available through the data link. For downloading large amount of data, please follow these instructions <a href="https://ternaus.atlassian.net/wiki/spaces/TERNSup/pages/2530148353/How+to+download+TERN+s+acoustic+data+in+bulk">How to download TERN's acoustic data in bulk</a></p>

<p>This dataset contains audio files for Karawatha Peri-Urban SuperSite. Karawatha Peri-Urban SuperSite was established in 2007 and decommissioned in 2018. The site was located in eucalypt forest at Karawatha Forest. For additional site information, see <a href="https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4">Karawatha Peri-Urban SuperSite</a></p> <p>A recorder was initially set up for three months in 2012 to collect acoustic data across different plots within the site. A second recorder was set up in 2014. This collected audio data 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. A long-term spectrogram has been generated for each audio file to aid in data exploration. The sensor also recorded temperature, minimum- maximum- and mean-sound pressure levels.</p> <p>Data are made available through the data link. For downloading large amount of data, please follow these instructions <a href="https://ternaus.atlassian.net/wiki/spaces/TERNSup/pages/2530148353/How+to+download+TERN+s+acoustic+data+in+bulk">How to download TERN's acoustic data in bulk</a></p>

<p>This dataset contains audio files from Daintree Rainforest SuperSite, Cape Tribulation. The site is located at the Daintree Rainforest Observatory in lowland complex mesophyll vine forest near Cape Tribulation. The site has more than 80 species including canopy trees belonging to the <em>Arecaceae, Euphorbiaceae, Rutaceae, Meliaceae, Myristicaceae</em> and <em>Icacinaceae</em> families. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/daintree-rainforest-supersite">Daintree Rainforest SuperSite</a></p> <p>In 2020 four acoustic recorders were set up to collect audio data continuously as part of the Australian Acoustic Observatory (A2O) project. Two recorders were placed in relatively wet habitats and two in relatively dry habitats.</p>

<p>This dataset contains audio files from Tumbarumba Wet Eucalypt site. Tumbarumba site was established in 2000 by CSIRO and started measurements in 2001. The 1&nbsp;ha plot was established in 2015 in collaboration with TERN. The overstorey is dominated by <em>Eucalyptus delegatensis</em> (Alpine Ash) and <em>Eucalyptus dalrympleana</em> (Mountain Gum). <p>In 2020 four acoustic recorders were set up to collect audio data continuously as part of the Australian Acoustic Observatory (A2O) project. Two recorders were placed in relatively wet habitats and two in relatively dry habitats.</p>