This dataset contains audio files from the Desert Uplands 1 site. This site was established in 2025 by QUT, TERN with co-investment by the Queensland Government Research Infrastructure Co-investment Fund (RICF). Four acoustic recorders were set up to collect audio data continuously using the deployment protocols of the A2O project.
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. This research site is managed by the Queensland University of Technology.
Data was collected on Indigenous freehold land under the custodianship of YACHATDAC. The lands where this data was collected is on the traditional lands of the Iningai people. As both the landholder and traditional owner, TERN, ALTAR and QUT recognise the cultural rights and Indigenous data sovereignty of the Iningai people in relation to this data and research activities.
This work is jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project with co-investment by the Queensland Government Research Infrastructure Co-investment Fund (RICF).
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Purpose
Long-term acoustic recordings are collected to characterise the acoustic sources in the ecosystem. Recordings can be used to estimate biodiversity, monitor temporal changes in the soundscape, compare the acoustic characteristics of different locations, and assess the effect of particular events such as bushfires and floods.
Lineage
Four acoustic sensors are set up to collect audio data continuously, utilising the A2O deployment methodology. Sensors are Frontier Labs Solar BAR. Each sensor has a Primo EM172 microphone with an 80 dB signal-to-noise ratio, 14 dBA self-noise, -28 dB sensitivity, and a flat response (+2 dB between 80 Hz and 20 kHz). Sensors have a gain of 50 dB. They are mounted on 1.8 m star pickets and powered by solar panels. Data are recorded continuously. Recordings are made as single channel, two-hour long flac files. They have a sampling rate of 22,050 Hz and a depth of 16 bits.
