logo
Data

Camera Trap Images from TERN Gingin Banksia Woodland SuperSite 

Ver: 1.0
Status of Data: completed
Update Frequency: irregular
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 142 times
Accessed 7 times
Dataset Created: 2018-07-26
Dataset Published: 2021-06-30
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPro-crate-metadata.jsonHTTPTERN EcoImages REST APIHTTPTERN EcoImages Portal
How to cite this collection:
Silberstein, R. (2021). Camera Trap Images from TERN Gingin Banksia Woodland SuperSite. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/898bd2f3-2e79-4224-bd31-9e380eed935c 
High quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the site. Two cameras were deployed from July to Dec 2018 and between March and May 2019.

The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by Banksia species. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/.
Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras and ancillary images of flora. 
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. The TERN Gingin Banksia Woodland SuperSite was established by CSIRO and is now managed by Edith Cowan University. The site is co-located with the Land Ecosystem Atmosphere Program (LEAP) – Gingin. 
Purpose
Data not provided. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure Steps

1. 

Camera Trap: If larger animals are expected, set the camera at 1 m high pointing down at about 20 degrees towards the bait that is 2.5 m away. If smaller animals are expected set the camera at 20 cm high and 1.8-2.0 m from the bait. Baits can be made up from a mix of peanut butter, rolled oats and honey. Set cameras to “Scrape” mode to take 5 pictures per trigger and no quiet period. Allow cameras to operate in the field for at least 2 weeks. 

Swan Coastal Plain, Western Australia
Temporal Coverage
From 2018-07-26 to 2019-05-20 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Animal physiological ecology
Forest biodiversity
GCMD Sciences
AGRICULTURE - ANIMAL ECOLOGY AND BEHAVIOR
SPECTRAL/ENGINEERING - VISIBLE IMAGERY
Horizontal Resolution
Point Resolution
Instruments
Reconyx Hyperfire HC600
Reconyx Ultrafire WR6
Parameters
animal occurrence
Platforms
Gingin Banksia Woodland
Temporal Resolution
Annual
Topic
biota
environment
User Defined
camera trap
ggbw
TERN Ecosystem Processes
Author
Silberstein, Richard
Contact Point
Silberstein, Richard
Publisher
Terrestrial Ecosystem Research Network
Gingin Banksia Woodland SuperSite https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/
Export to DCATExport to BibTeXExport to EndNote/Zotero
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
TERN services are provided on an “as-is” and “as available” basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

For use of individual images, please ensure that the author and source are acknowledged, example: Source: {Author's Name}, TERN.