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7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “Bogong moth”
A dataset for tracking the activity and abundance of Bogong moths at Ken Green Bogong, near South Ram's Head, NSW in the austral summer of 2019-2020
<p>This dataset contains images captured using wildlife cameras outside two Bogong moth aestivation caves on Ken Green Bogong, near South Ram's Head, NSW in the austral summer of 2019-2020. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
A dataset for tracking the activity and abundance of Bogong moths at Ken Green Bogong, near South Ram's Head, NSW in the austral summer of 2020-2021
<p>This dataset contains images captured using wildlife cameras outside two Bogong moth aestivation caves on Ken Green Bogong, near South Ram's Head, NSW in the austral summer of 2020-2021. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
A dataset for tracking the activity of Bogong moths on transects of Mt Kosciuszko, NSW on the evening of 2021-02-18
<p>This dataset contains video clips and stills captured using wildlife cameras on two transects on the slopes of Mt Kosciuszko, NSW. The images contain motion blurs from Bogong moths <em>Agrotis infusa</em> flying past the cameras, allowing for the measurement of Bogong moth activity using the Camfi software (<a href="https://doi.org/10.5281/zenodo.4971144">https://doi.org/10.5281/zenodo.4971144</a>).</p>
A dataset for tracking the activity and abundance of Bogong moths at Mt Gingera, ACT in the austral summer of 2020-2021
<p>This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Gingera, ACT in the austral summer of 2020-2021. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
A dataset for tracking the activity and abundance of Bogong moths at Mt Kosciuszko, NSW in the austral summer of 2020-2021
<p>This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Kosciuszko, NSW in the austral summer of 2020-2021. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
A dataset for tracking the activity and abundance of Bogong moths at Mt Kosciuszko, NSW in the austral summer of 2019-2020
<p>This dataset contains images captured using wildlife cameras outside Bogong moth aestivation caves on Mt Kosciuszko, NSW in the austral summer of 2019-2020. The images contain motion blurs from insects (predominantly Bogong moths <em>Agrotis infusa</em>) flying past the cameras, allowing for the measurement of Bogong moth wingbeat frequency, activity, and abundance using the Camfi software (<a href="https://github.com/J-Wall/camfi">https://github.com/J-Wall/camfi</a>).</p>
Supplementary data for camera-based monitoring of Bogong moths
<p>Supplementary data to be used in conjunction with the images available from the following repositories:</p> <p>Cabramurra 2019 dataset: <a href="http://doi.org/10.5281/zenodo.4950570">https://doi.org/10.5281/zenodo.4950570</a>,<br> Ken Green Bogong 2019–2020 dataset: <a href="http://doi.org/10.5281/zenodo.4971714">https://doi.org/10.5281/zenodo.4971714</a>,<br> Mt Kosciuszko 2019–2020 dataset: <a href="http://doi.org/10.5281/zenodo.5039891">https://doi.org/10.5281/zenodo.5039891</a>,<br> Ken Green Bogong 2020–2021 dataset: <a href="https://doi.org/10.5281/zenodo.4972022">https://doi.org/10.5281/zenodo.4972022</a>,<br> Mt Kosciuszko 2020–2021 dataset: <a href="http://doi.org/10.5281/zenodo.5040011">https://doi.org/10.5281/zenodo.5040011</a>,<br> Mt Gingera 2020–2021 dataset: <a href="https://doi.org/10.5281/zenodo.5040018">https://doi.org/10.5281/zenodo.5040018</a>.</p> <p>20210823_14_model.pth (the trained pytorch model used by camfi) is also available from <a href="https://github.com/J-Wall/camfi/releases/download/v2.1.4/20210823_14_model.pth">https://github.com/J-Wall/camfi/releases/download/v2.1.4/20210823_14_model.pth</a> and is included here for posterity.</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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OpenNeuro
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