Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP) - New South Wales Time Series data release

Full description

The Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP) is a collaborative national survey that acquires long-period magnetotelluric (MT) data on a half-degree grid spacing across Australia. This national scale survey aims to map the electrical conductivity/resistivity structure in the crust and mantle beneath the Australian continent, which provides significant additional information about Australia’s geodynamic framework as well as valuable pre-competitive data for resource exploration.

Geoscience Australia in collaboration with the Geological Survey of New South Wales (GSNSW) has completed AusLAMP data acquisition at 321 sites across the state of NSW. The data were acquired using LEMI-424 instruments and were processed using the Lemigraph software. The processed data in EDI format and report of field acquisition, data QA/QC, and data processing have been released in 2020 (https://pid.geoscience.gov.au/dataset/ga/132148).

This data release includes acquired time series data and metadata for each site. The script used to package the time series data is provided. The time series data are available in their original format (.txt), as recorded by the data logger, as well as in MTH5 hierarchical format. The open-source MTH5 Python package (https://github.com/kujaku11/mth5) was used to convert the recorded data to MTH5 format.

We acknowledge the traditional landowners, private landholders and national park authorities within the survey region, without whose cooperation these data could not have been collected.

Data is available on request from [email protected] - Quote eCat# 148544

Lineage

Maintenance and Update Frequency: asNeeded

Statement:

Notes

Purpose
The data will be used to map the electrical conductivity/resistivity structure in the crust and mantle beneath the Australian continent, which provides significant additional information about Australia’s geodynamic framework as well as valuable pre-competitive data for resource exploration.