Magnetotelluric surveys of the AusLAMP Musgraves Province within Western Australia, 2016 to 2018 (Level 1 concatenated, resampled, rotated NetCDF time series)

Brief description

This record was harvested by RDA at 2024-02-14T09:51:54.897+11:00 from NCI's Data Catalogue.

Full description

As part of the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP), long-period magnetotelluric time series data were collected in the Musgraves Province between 2016 and 2018. Level 1 concatenated, resampled, rotated NetCDF time series data from Earth Data Logger sites located in Western Australia are presented.

Credit

The Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP) project is a collaboration between Geoscience Australia, the Geological Surveys of each State and the Northern Territory, AuScope, universities, and other research organisations (https://www.ga.gov.au/about/projects/resources/auslamp).

The Geophysics 2030 project received co-investment from AuScope and the Australian Research Data Commons (ARDC) to support the data curation at the National Computational Infrastructure (NCI Australia) (https://doi.org/10.47486/XN002). AuScope, the ARDC and NCI Australia are enabled by the National Collaborative Research Infrastructure Strategy (NCRIS).

Lineage

Python was used for the generation of the Level 1 concatenated, resampled, rotated NetCDF time series products. The generation of these files was done in two stages:

Stage 1:
The raw time series were checked for gaps in continuity and if gaps were found, the problematic stations were segregated for stage 2 processing. The stations that passed the initial checks were merged into concatenated (over all days of recording) ASCII files (EX, EY, BX, BY, BZ). These ASCII files were then converted into a temporary binary file to accelerate the subsequent I/O operations. The binary data were read in, downsampled to 1 Hz and rotated by the rotation angle in the header metadata. The outputs are converted into a single NetCDF file per station and all the metadata attributes (based on https://doi.org/10.1080/14432471.2019.1600210) are added to the header.

Stage 2:
For those stations that did not pass the initial "continuous time series" test, the user manually determined which days had continuous time series without any gaps. The stage 2 processing then performs the same operations as the stage 1 processing, but only on the selected days.