From Geoscience Australia

Exploring for the Future update - new data and information from northern Australia

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Created 14/01/2025

Updated 14/01/2025

The Exploring for the Future program (EFTF) is a $225M Federal Government-funded initiative spanning the period July 2016 to June 2024. This multi-disciplinary program involves aspects of method development and new pre-competitive data acquisition at a variety of scales, with the aim of building an integrated understanding of Australia’s mineral, energy and groundwater potential. Significant work has been undertaken across northern Australia within regional-scale projects and as part of national-scale data acquisition and mapping activities. Some of these activities have been largely completed, and have generated new data and products, while others are ongoing. A comprehensive overview of the EFTF program can be found via the program website (eftf.ga.gov.au). Here, we overview a range of activities with implications for resource exploration in the Northern Territory.

This Abstract was submitted & presented to the 2023 Annual Geoscience Exploration Seminar (AGES), Alice Springs (https://industry.nt.gov.au/news/2022/december/registrations-open-for-ages-2023)

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Field Value
Title Exploring for the Future update - new data and information from northern Australia
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/1d6a839c-5a4d-4ba5-a70c-1706224acf05
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 25/07/2023
Geospatial Coverage {"type": "Polygon", "coordinates": [[[129.0, -26.0], [138.0, -26.0], [138.0, -11.0], [129.0, -11.0], [129.0, -26.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Exploring for the Future update - new data and information from northern Australia". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/exploring-for-the-future-update-new-data-and-information-from-northern-australia

No duplicate datasets found.