Data

TERN student dashboard tool

The University of Queensland
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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:doi10.48610/2033c46&rft.title=TERN student dashboard tool&rft.identifier=10.48610/2033c46&rft.publisher=The University of Queensland&rft.description=Explore real research datasets collected and summarised by TERN through an interactive dashboard, where you can discover the relationships between species richness or taxonomic abundance and key environmental drivers such as precipitation, soil characteristics, and temperature. This workshop will show you how to acquire datasets from TERN's repository, understand the concepts of data preprocessing, and visualise cleaned data on the dashboard using a variet of plots. For those who are already familiar with the R programming language, the source code is provided. You can customise it to suit your own workflow and import other kinds of datasets beyond those covered in the tutorial.&rft.creator=Anonymous&rft.date=2026&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=TERN&rft_subject=flexdashboard&rft_subject=Shiny&rft_subject=Interactive dashboard&rft_subject=Education&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Curriculum and pedagogy&rft_subject=EDUCATION&rft.type=dataset&rft.language=English Access the data

Contact Information

[email protected]

Full description

Explore real research datasets collected and summarised by TERN through an interactive dashboard, where you can discover the relationships between species richness or taxonomic abundance and key environmental drivers such as precipitation, soil characteristics, and temperature. This workshop will show you how to acquire datasets from TERN's repository, understand the concepts of data preprocessing, and visualise cleaned data on the dashboard using a variet of plots. For those who are already familiar with the R programming language, the source code is provided. You can customise it to suit your own workflow and import other kinds of datasets beyond those covered in the tutorial.

Issued: 20 08 2026

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Identifiers
ACN 633 798 857