<div>The Abbot Point to Hydrographers Passage bathymetry survey was acquired for the Australian Hydrographic Office (AHO) onboard the RV Escape during the period 6 Oct 2020 – 16 Mar 2021. This was a contracted survey conducted for the Australian Hydrographic Office by iXblue Pty Ltd as part of the Hydroscheme Industry Partnership Program. The survey area encompases a section of Two-Way Route from Abbot Point through Hydrographers Passage QLD. Bathymetry data was acquired using a Kongsberg EM 2040, and processed using QPS QINSy. The dataset was then exported as a 30m resolution, 32 bit floating point GeoTIFF grid of the survey area.</div><div>This dataset is not to be used for navigational purposes.</div>

The GEOPHYS_SURV database describes geophysical surveys (air, land, and marine), the datasets derived from those surveys, and the methods used for delivery of those datasets. The database includes metadata for all surveys conducted or managed by Geoscience Australia and its predecessor agencies, as well as data and surveys from State and Territory geological survey agencies.

A probabilistic tsunami hazard assessement (PTHA) was developed for the island of Tongatapu, All modelled tsunamis were initiated by hypothetical thrust earthquakes on the nearby Kermadec-Tonga subduction zone. We provide raster outputs containing the inundation depth with an estimated 10% and 2% chance of being exceeded in 50 years, as well as the code used to perform the analysis [both available here: https://github.com/GeoscienceAustralia/ptha/tree/master/misc/probabilistic_inundation_tonga2020].

The Exploring for the Future program is an initiative by the Australian Government dedicated to boosting investment in resource exploration in Australia. As part of the Exploring for the Future program, this study aims to improve our understanding of the petroleum resource potential of northern Australia. This data release presents newly derived chemical maturity parameters based on Fourier transform-ion cyclotron resonance-mass spectrometry (FT-ICR-MS) analysis of non-polar (polyaromatic hydrocarbons) and polar (NSO) compounds. As such, it complements optical and bulk chemical techniques. Although, only a single core extract was analysed in this study, the technique offers potential for maturity assessments in high maturity samples outside the range of other traditional chemical maturity estimates and is ideally suited to samples older than the Early Palaeozoic.

Google has partnered with hundreds of museums, cultural institutions and archives including Geoscience Australia to host treasures from our National Mineral and Fossil Collection online on the Google Arts & Culture website. Our building's public areas have been scanned and are online via a streetview virtual tour, there are a large number of collection items uploaded which have been used to create many unique and fascinating exhibits.

The Meteorite Self Check List is a flowchart aimed to provide Client Visitor Services and the Collections team a resource to direct external clients towards, when they believe that they have found a meteorite. This resource will streamline and improve engagement with clients, and allow them a clear and friendly way to perform basic and effective tests/observations to their specimen, to determine if it is likely a meteorite.

Abstract submitted for presentation to European Geosciences Union General Assembly, April, 2019

To deliver open data, government agencies must deal with legacy processes, both social and technical, that contain barriers to openness. These barriers limit the true usability of open data - how it can be used over time and in multiple contexts - and are critical to address as governments seek to expose open data. Linked Data (LD) has always been, at its core, about ensuring the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) by focusing on the identity and relationship of entities and exposing their context to consumers of data, even if these principles have only recently been named FAIR. A fundamental component of LD is that entities are identified by sustainable URI references called Persistent Identifiers (PIDs) which retain their utility over time despite system and organisation change. This poster will show how Geoscience Australia (GA) is applying the use of LD & PIDS in a real world, production IT, setting. Long running operational processes have been incrementally advanced to deliver data from relational databases as LD. Policies, practices and tools have developed and applied to support these LD delivery. The key components are: Data transformation tools: reliant on a robust internal data schema, the Corporate Data Model, these tools export views of it as XML or CSV publicly which is then converted to RDF in another step Overarching data model: a Semantic Web ontology that outlines the types of entities delivered publicly by GA and their macro relations. To date, public entities are Datasets, Web Services, vocabulary terms and geological Samples, Sites Surveys and Stratigraphic Units. New objects will include images with multiple formats and resolutions PID service: an application that manages a series of PID redirection rules PID governance policy: the defined process to support the agency with its multiple teams and their different data sources to have consistent application of entity identification rules and ensure uniqueness across multiple systems in the same registers pyLDAPI data service tools: a Web API tool that can present LD endpoints for entities according to given ontologies Cloud infrastructure as code (infracode): Provisioning of LD data holding RDF triple stores on the public cloud following agency best practice in delivering scalable solutions. The tools used are Apache’s Jena/Fuseki triplestore and API deployed on Amazon Web Services (AWS) with scalability through AWS Elastic Load Balancer and Elastic File Store components. Further work will explore suitability of the new triple store on AWS Neptune.

This poster will present on the tools and their implementation for structured linked data at Geoscience Australia (GA). The datasets include: samples, sites, surveys, placenames. The goal is to have persistent identifiers and their profiles is governed through organisational policy with entities and relationships conceptualised in ontologies. Tools include the PID service, pyLDAPI https://github.com/RDFLib/pyLDAPI, and including current work to investigate the new content negotiation by profile – separate from media type, standardising these profiles and the expression of relationships to other features. Profile templates are implemented in entity specific pyLDAPI implementations with data transformed and delivered as standard formats and profiles, sourced from an internal, organisational point of truth – a common organisational data model with well-defined internal identifiers. Applications using these mechanisms to publish such open data at the feature level granularity and their relationships include the geoscience AusGIN portal (http://www.geoscience.gov.au/) and Location Index initiative (LOC-I).