From Western Australia Government
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1:2 500 000 State interpreted bedrock geology structural lines (DMIRS-013)

Created 13/01/2025

Updated 08/04/2025

JSON RDF ISO19115-3 XML

The 1:2 500 000 State interpreted bedrock geology structural lines (DMIRS-013) is one of four digital data layers that make up the 1:2 500 000 geological map of Western Australia. The other three are the primary 1:2 500 000 State interpreted bedrock geology, the 1:2 500 000 State Cenozoic geology, and the 1:2 500 000 State interpreted dyke suites. The attribution of linear structures and dykes as concealed or exposed takes into account both the interpreted bedrock and the Cenozoic geology layers and does not reflect regolith cover. Detailed fault attribution has been simplified from the 1:500 000 scale, except in the case of major fault systems or tectonic boundaries. The data are held in GDA decimal degrees. © State of Western Australia 2018 Department of Mines, Industry Regulation and Safety (DMIRS). Terms and Conditions Licensed under a Creative Commons Licence - Creative Commons Attribution Non Commerical 3.0 Australia License. This dataset was formally known as 1:2 500 000 State interpreted bedrock geology structural lines (DMP-010)

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Title 1:2 500 000 State interpreted bedrock geology structural lines (DMIRS-013)
Language English
Licence Creative Commons Attribution Share Alike 4.0 International
Landing Page https://devweb.dga.links.com.au/data/dataset/25d4b7f4-3c6f-4bed-acce-e8a485f790de
Contact Point
Department of Planning (Western Australia)
corporate@planning.wa.gov.au
Geospatial Coverage http://www.ga.gov.au/place-names/PlaceDetails.jsp?fctext=RESV&fctext=POPL&fctext=STAT&submit1=GA7
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "1:2 500 000 State interpreted bedrock geology structural lines (DMIRS-013)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/1-2-500-000-state-interpreted-bedrock-geology-structural-lines-dmirs-013

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No duplicate datasets found.