<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 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.

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

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).

Geoscience Australia is Australia’s Earth science public sector organisation, recognised for its expert data capabilities and high level of expertise. As the nation’s trusted advisor on geology and geography the organisation is the premium provider of data, science and analysis for decision makers. Internally, Geoscience Australia is currently targeting and refining its core capabilities in order to establish and clearly articulate our value proposition and service offering to stakeholders.

National meteorological and hydrological services (NMHSs) provide severe weather warning information to inform decision-making by emergency management (EM) services and to allow communities to take defensive and mitigation action prior to and during severe weather events. Globally, warning information issued by NMHSs varies widely from solely hazard-based to impact-based forecasting encompassing the exposure and vulnerability of communities to severe weather. The most advanced of these systems explicitly and quantitatively model the impacts of hazards on sectors of interest. Incorporating impact information into severe weather warnings contextualises and personalises the warning information, increasing the likelihood that individuals and communities will take preparatory action. This paper reviews a selection of current efforts towards severe weather warnings and impact forecasting capabilities globally and highlights uncertainties that currently limit forecasts and modelling of multi-hazard events.