Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Try the next-generation Data Catalog at catalog-beta.data.gov and help shape it with your feedback.

Magnetic and related derivative GeoTIFF grids and data for Australia

Metadata Updated: January 21, 2026

This directory contains a national-scale magnetic anomaly grid for Australia (Geophysical Acquistion and Processing Section, 2020) and derivative grids calculated from the national scale compilation. The data are provided as GeoTIFF grids covering the country of Australia of reduced-to-pole (RTP) magnetic anomaly data, the 1st vertical derivative of the RTP, the horizontal gradient magnitude pseudo-gravity calculated from the RTP grid, the long-wavelength RTP magnetic anomaly, and the horizontal gradient magnitude of the long wavelength pseudo gravity calculated from the long wavelength RTP. The directory also includes shapefiles of locations that trace the maxima of the horizontal gradient magnitude of the pseudo-gravity and of the maxima of the horizontal gradient magnitude of the long wavelength RTP transformed to pseudo-gravity. Otherwise known as “worms”, the points tracking the maxima mark the edges of shallow magnetic sources (in the case of the RTP) and deeper magnetic sources (calculated from the long-wavelength RTP grid). The shapefile of worms also includes attribute fields related to the steepness of the gradient and to the trend or strike of the gradient. These data layers were used in combination with other geophysical and geological data layers as input into a mineral prospectivity model for basin-hosted Pb-Zn mineralization. The reader is encouraged to read the metadata specific to each data layer for details related to the calculation and derivation of each magnetic anomaly GeoTIFF grid or shapefile. References Geophysical Acquisition and Processing Section, 2020, Magnetic anomaly map of Australia, seventh edition, 2019 TMI RTP greyscale image: Geoscience Australia, http://pid.geoscience.gov.au/dataset/ga/144725.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date January 12, 2026
Metadata Updated Date January 21, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 12, 2026
Metadata Updated Date January 21, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_619d3aa8d34eb622f6957be2
Data Last Modified 2025-03-31T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Datagov Dedupe Retained 20260121062710
Harvest Object Id 3121eecf-2d5c-4a41-882f-14e7459c28e1
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": 112.9331, -43.6340, 112.9331, -9.3789, 153.6199, -9.3789, 153.6199, -43.6340, 112.9331, -43.6340}
Source Datajson Identifier True
Source Hash f76810b6b2123ac8245fb4588790e097614407b6d1c61c13e80c8595165b446e
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": 112.9331, -43.6340, 112.9331, -9.3789, 153.6199, -9.3789, 153.6199, -43.6340, 112.9331, -43.6340}

Didn't find what you're looking for? Suggest a dataset here.