From Geoscience Australia

Earaheedy, Desert Strip, Eastern Border, Goldfields, Kimberley, Murchison, SW Albany, and Yilgarn Airborne Electromagnetic Data in SEG-Y Format

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Created 20/01/2025

Updated 20/01/2025

The dataset contained in this package and release consists of GA’s Layered-Earth-Inversion (GALEI, Brodie, 2016) conductivity-depth estimates from the AEM data, acquired over several areas of Western Australia, converted into SEG-Y format. The SEG-Y data standard was proposed by the Society of Exploration Geophysicists (SEG) standards committee (see Norris & Faichney 2002). Previously, the AEM data has been released as point located line data in conventional ascii format and is accessible through several of the following associated eCat records (146345, 146042, 144621, 145265 and 147688). This SEG-Y data release is expected to benefit users who require the AEM modelled sections in SEG-Y format to assist in their interpretations, investigations and discovery of potential mineral, energy, and groundwater resources within Australia. 

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Field Value
Title Earaheedy, Desert Strip, Eastern Border, Goldfields, Kimberley, Murchison, SW Albany, and Yilgarn Airborne Electromagnetic Data in SEG-Y Format
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/f030ca12-6171-4257-b742-94a1080e0d1c
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 07/08/2020 - 07/10/2022
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.0, -36.0], [129.0, -36.0], [129.0, -12.0], [112.0, -12.0], [112.0, -36.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Earaheedy, Desert Strip, Eastern Border, Goldfields, Kimberley, Murchison, SW Albany, and Yilgarn Airborne Electromagnetic Data in SEG-Y Format". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/earaheedy-desert-strip-eastern-border-goldfields-kimberley-murchison-sw-albany-and-yilgarn-airb

No duplicate datasets found.