The majority of boundaries submitted to the Australian Exposure Information Platform (AEIP) process relatively quickly, usually under 20 minutes. Occasionally however, very complex boundaries are submitted that cause processing issues. The intent of this document is to, at a high-level, highlight the various types of complex boundaries and geometry errors that cause processing issues and offer solutions to improve the turnaround time for Exposure Report production.

Geoscience Australia first sought feedback on a metadata standard for magnetotelluric (MT) time-series data in 2018 with the publication of a Preview article (Kirkby, 2019) outlining suggestions for metadata fields that should be collected when running an MT survey. This was the first step in standardising the MT formats used by the Australian MT community to ensure a cohesive community approach moving forward. Intrepid Geophysics was subsequently contracted by Geoscience Australia to investigate the current community sentiment around a metadata standard and report on the community’s requirements for a standardised data format. Intrepid Geophysics was chosen as an independent party that had no significant stake in the magnetotellurics discussion. This report is the third made to Geoscience Australia in a series investigating the needs of the Australian magnetotelluric community, with a focus on the definition of the metadata that should be collected along with the raw data of an MT survey. The findings were collated from interviews conducted in the preliminary stage of the project as well as an online questionnaire that was sent to those who had agreed to be contacted. Feedback was constructive, centring on standardisation of parameter naming schemes, adding parameters that were missing and could add value, and misclassification of parameters. Future work should focus on a more widespread community engagement program that involves system manufacturers as well as building the metadata structure around the chosen data format.

The Geoscience Australia catalogue uses a profile of certain controlled vocabularies (codelists) from the ISO19115-1 metadata standard. A profile includes extra terms that are used by Geoscience Australia that do not appear in the original standard. In this vocabulary, the catalogue metadata uses the MD_AssociatedResource entity to indicate associations or relationships between resource metadata records or business documentation. If these associations are used in a metadata record they will appear as an extra tab to the right of the "Technical" tab as an "Associations" tab. The vocabulary includes the ISO terms and the GA terms. This profile is described in the Geoscience Australia Community Metadata Profile of ISO 19115-1:2014.

Ginan is Geoscience Australia’s Global Navigation Satellite System (GNSS) analysis centre software that delivers a real-time positioning correction service through an open-source software, and additional positioning products to enable precise point positioning for Australian industry and users.

An AusPIX Integration Table for major Australian geographies. Based on the standard AusPIX DGGS 2.4408 hectare plot, this dataset integrates each major geography with all others in the table. It is a core dataset that describes all the AusPIX DGGS level 10 cells in Australia and extends them into a cross-walk that references point, line, polygon, or grid data to those AusPIX DGGS cells. This table can be easily linked to further integrate and reference any other AusPIX enabled dataset available. The Integration set is designed to allow a wide variety of statistical enquiry, as well as visualisation of data and outputs. For example Python Pandas can consume csv downloads of selected parts of this database to allow employment of all Pandas functions. For visualisation, QGIS can connect (and visualise on the desktop), your SQL queries on the database for example. This table is a 430 million row PostgreSQL database provisioned on AWS. It can be filtered and searched using SQL, and results can be downloaded to CSV. It is a pre-calculated dataset using the 'AusPIX framework for data integration, statistics and visualisation by DGGS Location (linked in "Associations" in the panel on the right). An API over the top of this dataset is available at: https://api.dggs.ga.gov.au/docs