Data

SERF Acoustic Study data annotations

Queensland University of Technology
Samford Ecological Research Facility (SERF)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/09/58859452173f4&rft.title=SERF Acoustic Study data annotations&rft.identifier=10.4225/09/58859452173f4&rft.publisher=Queensland University of Technology&rft.description=This dataset is the tagged csv file resulting from a study investigating the effectiveness of acoustic sensors compared to traditional field survey methods. Sensor networks were developed for observing and assessing the environmental and ecological systems at Samford Ecological Research Facility (SERF). Audio data can be retrieved by date and time period and by searching annotation tags which have been applied to the audio recordings (for example it is possible to search for all audio samples tagged with Kookaburra). Researchers can download audio files and csv files containing information about the tags specified in the search. The 'tag' file includes: Tag Name,Start Time,End Time,Max Frequency (hz), Min Frequency (hz),Project Site, Sensor Name, Score and a link to the specific audio sample associated with the individual tag.&rft.creator=Samford Ecological Research Facility (SERF) &rft.date=2010&rft.edition=1&rft.relation=https://eprints.qut.edu.au/43407/&rft.relation=http://eprints.qut.edu.au/27330/&rft.relation=http://eprints.qut.edu.au/27329/&rft.coverage=Samford, Queensland, Australia&rft.coverage=northlimit=-27.386; southlimit=-27.394; westlimit=152.870; eastLimit=152.883; projection=WGS84&rft_rights=©&rft_subject=acoustic analysis&rft_subject=080100&rft_subject=bioacoustics&rft_subject=Community Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=environmental analysis&rft_subject=Artificial Intelligence and Image Processing not elsewhere classified&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft.type=dataset&rft.language=English Access the data
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Contact Information

Postal Address:
Paul Roe

p.roe@qut.edu.au

Full description

This dataset is the tagged csv file resulting from a study investigating the effectiveness of acoustic sensors compared to traditional field survey methods. Sensor networks were developed for observing and assessing the environmental and ecological systems at Samford Ecological Research Facility (SERF). Audio data can be retrieved by date and time period and by searching annotation tags which have been applied to the audio recordings (for example it is possible to search for all audio samples tagged with Kookaburra). Researchers can download audio files and csv files containing information about the tags specified in the search. The 'tag' file includes: Tag Name,Start Time,End Time,Max Frequency (hz), Min Frequency (hz),Project Site, Sensor Name, Score and a link to the specific audio sample associated with the individual tag.

Data time period: 2008

This dataset is part of a larger collection

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Related Publications

  • Associated with Planitz, Birgit M., Roe, Paul, Sumitomo, Jiro, Towsey, Michael W., Williamson, Ian, & Wimmer, Jason (2009) Listening to nature : techniques for large-scale monitoring of ecosystems using acoustics. In 3rd eResearch Australasia Conference, 9-13 November 2009, Novotel Sydney Manly Pacific, Sydney.
    uri : eprints.qut.edu.au/27329/
  • Associated with Planitz, Birgit, Roe, Paul, Sumitomo, Jiro, Towsey, Michael W., Williamson, Ian, Wimmer, Jason, & Zhang, Jinglan (2009) Listening to nature : acoustic monitoring of the environment. In Microsoft eScience Workshop 2009, 15–17 October 2009, Carnegie Mellon University, Pittsburgh.
    uri : eprints.qut.edu.au/27330/
  • Associated with Zhang, Jinglan, Roe, Paul, Pham, Binh L., Mason, Richard, Towsey, Michael W., & Sumitomo, Jiro (2010) Archiving nature’s heartbeat using smart phones. In Wachowicz, Monica (Ed.) Movement-Aware Applications for Sustainable Mobility : Technologyies and Approaches. IGI Global, Hershey, PA, pp. 121-138.
    uri : eprints.qut.edu.au/43407/

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152.883,-27.386 152.883,-27.394 152.87,-27.394 152.87,-27.386 152.883,-27.386

152.8765,-27.39

text: Samford, Queensland, Australia

Subjects
080100 | Artificial Intelligence and Image Processing | Artificial Intelligence and Image Processing Not Elsewhere Classified | Biological Sciences | Community Ecology | Ecology | Information and Computing Sciences | acoustic analysis | bioacoustics | environmental analysis |

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