From Australian Oceans Data Network
JSON RDF ISO19115-3 XML

NESP TWQ Project 3.6 - Establishing a research framework for future NESP investment into better understanding of the presence of Box-Jellyfishes (Irukandji) and risks in the Great Barrier Reef, 2015-2016 (JCU)

Created 12/03/2025

Updated 12/03/2025

JSON RDF ISO19115-3 XML

This project intends to conduct a workshop with key researchers and stakeholders to establish the future research framework for NESP investment into better understanding of box-jellyfishes presence and risk in the Great Barrier Reef. This will include defining the scope of work required to: identify how species of Irukandji and stingers respond to changing water quality conditions, predictions of box-jellyfishes presence based on environmental conditions, determine ecological impacts, innovative management options. We will engage with stakeholders to discuss scientific information already available, research gaps to be filled and develop a framework to guide future NESP research to meet end-user needs.

Files and APIs

Tags

Additional Info

Field Value
Title NESP TWQ Project 3.6 - Establishing a research framework for future NESP investment into better understanding of the presence of Box-Jellyfishes (Irukandji) and risks in the Great Barrier Reef, 2015-2016 (JCU)
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/4654324f-1bfa-4f77-a180-0ae96492da1b
Contact Point
CSIRO Oceans & Atmosphere
Michael.kingsford@jcu.edu.au
Reference Period 01/07/2015 - 28/02/2016
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "NESP TWQ Project 3.6 - Establishing a research framework for future NESP investment into better understanding of the presence of Box-Jellyfishes (Irukandji) and risks in the Great Barrier Reef, 2015-2016 (JCU)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/nesp-twq-project-3-6-establishing-a-research-framework-for-future-nesp-investment-into-better-u

Original dataset
Dataset copies

No duplicate datasets found.