3 trainers found

Fields: CURATORIAL AND RELATED STUDIES  or ENVIRONMENTAL SCIENCES  or Environmental Monitoring 


Abdullah Shaikh

Expert Digital Skills Trainer, Abdullah Shaikh, has vast experience training researchers and academics on programming languages, software, and tools. He is also an expert in Data Science, Machine Learning, Data Manipulation, and Visualisation. In addition to training, Abdullah provides research...

Location: Sydney

Shaikh Abdullah abdullah@intersect.org.au Sydney Expert Digital Skills Trainer, Abdullah Shaikh, has vast experience training researchers and academics on programming languages, software, and tools. He is also an expert in Data Science, Machine Learning, Data Manipulation, and Visualisation. In addition to training, Abdullah provides research support at multiple levels and engages with researchers to promote digital tools. ["English", "Urdu"] https://orcid.org/0000-0002-5964-8464
Ian Johnson

Database modelling for Humanities data, introductory and advanced use of the Heurist database infrastructure (HeuristNetwork.org)

Location: Sydney (typically November - February), Paris, France (typically March - November)

Johnson Ian ian.johnson@sydney.edu.au Sydney (typically November - February), Paris, France (typically March - November) Database modelling for Humanities data, introductory and advanced use of the Heurist database infrastructure (HeuristNetwork.org) ["English", "French"] https://orcid.org/0000-0003-3582-2138
Tim Langlois

Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...

Location: GitHub

Langlois Tim tim.langlois@uwa.edu.au GitHub Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way. ["English", "French"] https://orcid.org/0000-0001-6404-4000