Collection of tsunami related codes

In 2014, the first version of the DOI minting software was produced,allowing machine to machine minting of DOIs. Written in Java, it accessed the GeoCat database for metadata, sent that to DataCite, and reinserted the returned DOI back into the database.

These files are the source code for the original eCat system designed by Lockheed. This system has been superseded April 2016) by GA's own eCat catalogue system powered by GeoNetwork. This dataset archives source code that is no longer to be worked on.

The ANZLIC Metadata tool uses the ISO 19139 (2005) metadata standard which is the current supported metadata standard used in Australia in its ArcGIS Desktop version 10.4 software package. This metadata tool is intended to be used through the ArcGIS Desktop version 10.4 software accessed via the description tab in ArcCatalog. The tool was previously developed and supported by Esri Australia but this was formally handed over to ANZLIC in 2017. Geoscience Australia in support of ANZLIC has developed this new metadata tool based on the previous work of Esri Australia and the new Esri Inc ArcGIS Desktop 10.4 Metadata toolkit. The tool is intended for users of Esri Inc ArcGIS Desktop version 10.4 software to create ANZLIC compliant ISO 19139 metadata associated with datasets.

A fully four-dimensional (3D x time) object-oriented biophysical dispersal model was developed to simulate the movement of marine larvae over semi-continuous surfaces. The model is capable of handling massive numbers of simulated larvae, can accommodate diverse life history patterns and distributions of characteristics, and saves point-level information to a relational database management system.

The RadWaste, or Radioactive Waste Site identification Project, is a Department of Industry (D.o.I.) project, with the objective of locating and securing a national storage site suitable for the long-term storage of low-level and medium-level radioactive waste. The Radioactive Waste Site identification Application allows users to locate and geospatially identify the land they wish to nominate for assessment and then capture the location coordinates. The application no longer includes any system smarts such as weightings and suitability rankings or reporting functionality. The RadWaste applications are based upon the existing CIAP application framework and architecture.

The MTPy Python library is open source software that aims to facilitate processing, analysis, modelling, and inversion of magnetotelluric (MT) data. Until recently, MTpy has contained bugs and gaps in both functionality and documentation, which have limited its use to date. We are developing MTPy to rectify these problems and expand functionality. Key improvements include adding new functions and classes to the modules that handle ModEM inputs and outputs, improving data and model visualization tools, refactoring the code to improve maintainability, quality, and consistency, and developing documentation.

The intended use for this application is to provide spatial discoverability for the Offshore well and seismic datasets within National Offshore Petroleum Information Management System (NOPIMS). This web service within this application is NOPIMS_Offshore_Well_and_Seismic_Discovery will also require to be made into a product. It will display the NOPIMS Offshore Well and Seismic surveys. The data does not provide the actually surveys only the spatial location of what survey can be requested. The wells layer consists of drilling surveys. The 2D seismic survey is conducted along lines and produces a single vertical profile. The 3D seismic survey is conducted over and area and produces a 3D subsurface model.

A git code repository container for Earth Observation tools. An example tool is the DatasetDrivers construct for automatic retrieval of imagery & metadata.

If you felt an earthquake, or know of an earthquake that occurred recently, please fill in this form. Even if you did not feel the earthquake yourself, please fill in the form, as this information will assist us.