From DataNSW
JSON RDF ISO19115-3 XML

NSW Mineral Occurrences

Created 06/05/2025

Updated 06/05/2025

JSON RDF ISO19115-3 XML

Locations of over 31,000 types of minerals throughout NSW, including coal, gas, gemstones and construction materials. This spatial dataset is a derivative product of the New South Wales Mineral Occurence Database (also known as New South Wales MetIndEx). It records over 31,000 known mineral occurrences throughout NSW. These records have been compiled from resource and production data compiled from both historic and current mining operations records held by the Geological Survey of NSW. Data records start from a state-wide Metallogenic Mapping program developed by the Survey in the late 1960s and are continuously improved via mandatory reporting. The alternative name MetIndEx refers to the METallics, INDustrial minerals and Exploration discoveries database of economic mineral deposits and occurrences in New South Wales. The data has been migrated over various databases from Microsoft Access to Oracle and SQL Server. The location data has also had multiple datum changes since the original database was compiled. The data is being continuously improved and refined by the custodians on an irregular basis. This data is part of the New South Wales Geoscientific Data Warehouse (NSW GDW) series.

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Additional Info

Field Value
Title NSW Mineral Occurrences
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/cfdb2fba-2345-4a4d-910e-b6d7f4be3849
Remote Last Updated 26/02/2024
Contact Point
Department of Regional New South Wales
test@email.loc
Reference Period 11/11/1961
Geospatial Coverage {"type":"Polygon","coordinates":[[[141,-37.7],[141,-28.8],[154,-28.8],[154,-37.7],[141,-37.7]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on DataNSW "NSW Mineral Occurrences". Please visit the source to access the original metadata of the dataset:
https://data.nsw.gov.au/data/dataset/nsw-mineral-occurrences

Original dataset
Dataset copies

No duplicate datasets found.