This web service delivers metadata for onshore active and passive seismic surveys conducted across the Australian continent by Geoscience Australia and its collaborative partners. For active seismic this metadata includes survey header data, line location and positional information, and the energy source type and parameters used to acquire the seismic line data. For passive seismic this metadata includes information about station name and location, start and end dates, operators and instruments. The metadata are maintained in Geoscience Australia's onshore active seismic and passive seismic database, which is being added to as new surveys are undertaken. Links to datasets, reports and other publications for the seismic surveys are provided in the metadata.

This service provides access to airborne electromagnetics (AEM) derived conductivity grids in the Upper Darling Floodplain region. The grids represent 30 depth intervals from modelling of AEM data acquired in the Upper Darling Floodplain, New South Wales, Airborne Electromagnetic Survey (https://dx.doi.org/10.26186/147267), an Exploring for the Future (EFTF) project jointly funded by Geoscience Australia and New South Wales Department of Planning and Environment (NSW DPE). The AEM conductivity model delineates important subsurface features for assessing the groundwater system including lithological boundaries, palaeovalleys and hydrostatigraphy.

<div>This look-book was developed to accompany the specimen display in the office of the Hon Madeleine King MP, Minister for Resources and Northern Australia. It contains information about each of the specimens including their name, link to resource commodities and where they were from. </div><div><br></div><div>The collection was carefully curated to highlight some of Australia’s well known resources commodities as well as the emerging commodities that will further the Australian economy and contribute to the low energy transition. The collection has been sourced from Geoscience Australia’s National Mineral and Fossil Collection. </div><div><br></div><div>The collection focuses on critical minerals, ore minerals as well as some fuel minerals. These specimens align with some of Geoscience Australia major projects including the Exploring For the Future (EFTF) program, the Trusted Environmental and Geological Information program (TEGI) as well as the Repository and the public education and outreach program.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</div>

Of the damage sustained by residential buildings during a severe wind event, a significant portion can be caused by impacts from wind‐borne debris. Furthermore, where such impacts form dominant openings in windward walls, large internal pressures can be generated, consequently leading to substantially increased loads on the building’s structure and hence increased damage to the building’s envelope. Geoscience Australia, together with its collaborators the Cyclone Testing Station at James Cook University and JDH Consulting, have commenced development of a software tool to quantitatively model vulnerability of residential buildings to severe wind. This paper describes the implementation of the methodology presented in Part 1 [1] into the software tool to model wind‐borne debris induced damage. Presented at the 14th Australasian Wind Engineering Society Workshop 2010

Northern Australia has been the focus of recent marine biodiversity research to support natural resource management for both industry and conservation, including management of the Oceanic Shoals Australian Marine Park (AMP). Much of this research has targeted habitat-forming sessile invertebrates and charismatic megafauna, but smaller macrofauna and infauna may also be important because of their roles in ecosystem functions. In this study we characterised the biodiversity of polychaetes collected from four marine surveys to the Oceanic Shoals AMP between 2009 and 2012 from which sediment samples were elutriated (500 μm) to separate macrofauna. We used this species-level inventory to examine several questions related to marine management, namely: (1) do polychaete assemblages vary among surveys; (2) can environmental variables or geomorphology explain differences in community structure; and (3) how do ecological patterns change according to taxonomic resolution (species, family) and functional group (feeding, habitat, mobility)? A total of 2561 individual polychaetes were collected from 266 samples, representing 368 species and 43 families, including new species and genera, as well as new family records for Australia (Iospilidae, Lacydoniidae). Polychaete species assemblages and functional groups showed variation among the surveys, but this was not observed at the family level. Species and family assemblages were weakly related to environmental factors, but functional groups showed stronger relationships. Plains and banks each supported distinct polychaete assemblages, although the latter showed temporal variation. The results provide baseline biodiversity and ecological data about polychaetes on the northern Australian shelf, and these are discussed in relation to marine management strategies. Notably, intersurvey and environmental patterns differ from those of larger sessile fauna (sponges) collected on the same surveys, highlighting the need to consider small macrofauna in monitoring programs of marine protected areas. <b>Citation:</b> Przeslawski Rachel, Glasby Christopher J., Nichol Scott (2019) Polychaetes (Annelida) of the Oceanic Shoals region, northern Australia: considering small macrofauna in marine management. <i>Marine and Freshwater Research</i> 70, 307-321. https://doi.org/10.1071/MF18060

Geoscience Australia (GA) builds, maintains and operates the Australian National Seismic Network and Urban Monitoring Network across the Australian continent, its territories and overseas. To locate earthquakes and other seismic activity across the country and overseas, Geoscience Australia streams real time data from 206 stations across Australia. Additionally, 100's of stations are streamed into Geoscience Australia from international data centres and monitoring agencies and institutions. From station design through to dissemination of data, the geophysical networks section at Geoscience Australia provides the seismic data that underpins critical seismic monitoring activities undertaken in Australia and internationally. All the Australian data collected by Geoscience Australia is publicly available from GA servers and is delivered to the Incorporated Research Institutions for Seismology (IRIS). This data is freely available as a near real time feed and archived for use by other earthquake and nuclear monitoring centres, tsunami warning centres and well as research groups and institutions. Presented at the 2017 Australian Earthquake Engineering Society (AEES) Conference.

Analysis Ready Data (ARD) are satellite data that have been pre-processed for immediate analysis with minimal user effort. The generation of Surface Reflectance (SR) from optical satellite data, involves a series of corrections to standardise the data and enable meaningful comparison of data from multiple sensors and across time. Surface reflectance data are foundational for time-series analyses and rapid generation of other information products. Field based validation of surface reflectance data is therefore critical to determine its fitness for purpose, and applicability for downstream product development. In this paper, an approach for continental scale validation of the surface reflectance data from Landsat-8 and Sentinel-2 satellites, using field-based measurements that are near-synchronous to the satellite observations over multiple sites across Australia is presented. Good practice measurement protocols governing the acquisition of field data, including field instrument calibration, sampling strategy and approach for post-collection processing and management of field spectral data are outlined. This study has been a nationally coordinated, collaborative field data collection campaign across Australia. Permanent field sites, to support validation efforts within the broader Earth Observation (EO) community for continental scale products were also identified. The approach is expected to serve as a model for coordinated ongoing validation of ARD products at continental to global scales. Presented at the 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

This repository contains a static version of the data and software that accompanies the article by Stephenson et al. (2024) published in the Journal of Geophysical Research: Solid Earth. Note that the data and software repositories are up to date as of 07/03/2024. For more recent updates users are referred to the primary repositories on Github. Contents of zipped repository files includes four directories: 1. The manuscript directory `STEPHENSON_ET_AL_2024_JGR/` containing - The manuscript file (pre-print before final peer review and acceptance by the journal). - Supplementary text accompanying the manuscript. 2. The `SMV2rho` software package version `v1.0.1` for converting seismic velocity into density. 3. The `SeisCruST` database of global crustal thickness and velocity profiles. 4. The `global-residual-topography` database containing estimates of continental residual topography after correcting for isostatic effects of crustal thickness and density variations. Abstract for the article: Continental topography is dominantly controlled by a combination of crustal thickness and density variations. Nevertheless, it is clear that some additional topographic component is supported by the buoyancy structure of the underlying lithospheric and convecting mantle. Isolating these secondary sources is not straightforward, but provides valuable information about mantle dynamics. Here, we estimate and correct for the component of topographic elevation that is crustally supported to obtain residual topographic anomalies for the major continents, excluding Antarctica. Crustal thickness variations are identified by assembling a global inventory of 26 725 continental crustal thickness estimates from local seismological datasets (e.g. wide-angle/refraction surveys, calibrated reflection profiles, receiver functions). In order to convert crustal seismic velocity into density, we develop a parametrization that is based upon a database of 1 136 laboratory measurements of seismic velocity as a function of density and pressure. In this way, 4 120 new measurements of continental residual topography are obtained. Observed residual topography mostly varies between±1–2 km on wavelengths of 1 000–5 000 km. Our results are generally consistent with the pattern of residual depth anomalies observed throughout the oceanic realm, with long-wavelength free-air gravity anomalies, and with the distribution of upper mantle seismic velocity anomalies. They are also corroborated by spot measurements of emergent marine strata and by the global distribution of intraplate magmatism that is younger than 10 Ma. We infer that a significant component of residual topography is generated and maintained by a combination of lithospheric thickness variation and sub-plate mantle convection. Lithospheric composition could play an important secondary role, especially within cratonic regions.

Damage from windborne debris is a major contributor to the total damage produced by extreme wind of all types. Therefore it is important to incorporate this component into a complete wind-induced damage model, developed for disaster management or insurance purposes. This paper describes the basic methodology for windborne debris damage modelling developed for Geoscience Australia as part of the VAWS model. VAWS is a software tool currently under development that models damage to buildings from severe wind. The implementation of the windborne debris damage model is described in Wehner et al, 2010. Presented at the 14th Australasian Wind Engineering Society Workshop 2010