Geoscience Australia houses one of the world's largest collections of petroleum data. Much of this data is non-confidential and available to the petroleum industry, research organisations and the public. The collection includes well data submitted by industry under legislative requirements as well as data collected by research projects and marine surveys undertaken by Geoscience Australia or other government agencies or institutions. The collections comprise of digital data such as well completion reports, well logs, destructive analysis reports, vertical seismic profiles, core photography, special studies and also hard-copy well log data and graphs submitted during the pre-digital era. <b>Value: </b> information related to the subsurface that have the potential to support geological investigations and assessment of a variety of resources. <b>This data can be discovered through the National Offshore Petroleum Information Management System (NOPIMS) - http://www.ga.gov.au/nopims</b>

<div>The site-specific shear velocity profile for the top 30 m, VS30, is the most popular geotechnical parameter to characterize local site conditions. Shear velocity measurements are not available for the majority of earthquake-recording stations in the Australian National Seismograph Network (ANSN). Accordingly, the lack of available shear-wave velocity data in Australia makes it difficult to benchmark amplification effects to a reference site condition. One inexpensive and relatively efficient method that can be used to analyse single-station ambient noise data is the Horizontal to Vertical Spectral Ratio (HVSR) method. We used OpenHVSR software for the inversion of the HVSR curves. The S-wave velocity structure and VS30 results derived from the inversion process of the HVSR curves are in a good agreement with the previous Spatial Autocorrelation (SPAC) study for the ANSN stations and can be used as a fast and inexpensive technique to measure the VS30 for site classification purposes.&nbsp;</div><div><br></div>This Abstract was submitted/presented to the 2022 Australian Earthquake Engineering Society (AEES) Conference 24-25 November (https://aees.org.au/aees-conference-2022/)

The Geology of Australia dataset documents the distribution and age of major stratigraphic, intrusive and medium to high-grade metamorphic rock units of onshore Australia. The data set was compiled to use at the 1:5,000,000 scale. The units distinguished/mapped mainly represent stratigraphic supergroups, regional intrusive associations and regional metamorphic complexes. This dataset is a generalised version of the 1:2,500,000 scale Geology (AGSOCAT No. 314111)

This web service shows areas or locations occupied by an existing high-density urban development or known individual building structures in peri-urban and remote locations. Data used in this service is of varying levels of coverage and quality since it is aggregated from a variety of sources. The intended purpose of the service is to provide preliminary, first-pass information about urban environment, building structures and their distribution in landscape, as one of constraints on future development. Users should carry out further and more detailed investigations because this information is not meant to be a definitive source or support engineering phase planning. The service has layer scale dependencies.

The Australian Passive Seismic Array Project (AusArray) program was developed from a long history of passive seismic imaging in Australia involving many contributors. Building on this history, the Australian Government and academia have united around AusArray. The objective is a standardised and quality controlled national passive seismic data coverage and an updatable national seismic velocity model framework that can be used as a background for higher-resolution studies. This document details the field activities and equipment preparation for temporary passive seismic station deployment, service and retrieval. Equipment cleaning and testing and database details are also described. The standard operating procedures applied during these activities were established during the deployment of two temporary passive seismograph arrays under the Australian Government’s Exploring for the Future (EFTF) program. These arrays consisted of 120–130 stations deployed in the Northern Territory and Queensland for over a year in a grid pattern with a lateral spacing of half a degree (~55 km). The temporary passive seismograph stations comprised Nanometrics Trillium Compact 120S broadband seismic sensors connected to a Güralp minimus digitiser. Batteries charged by a solar panel powered both instruments. Each station in the array was serviced, i.e. repairs if required and interim data was retrieved, at least once during the deployment.

This point dataset contains the major airport hangar facilities in Australia.

The dataset provides the spatially continuous data of the seabed gravel content (sediment fraction >2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 0.01 decimal degree resolution raster format. The dataset covers the Australian continental EEZ, including seabed surrounding Tasmania. It does not include areas surrounding Macquarie Island, and the Australian Territories of Norfolk Island, Christmas Island, and Cocos (Keeling) Islands or Australia's marine jurisdiction off of the Territory of Heard and McDonald Islands and the Australian Antarctic Territory. This dataset supersedes previous predictions of sediment gravel content for the Australian Margin with demonstrated improvements in accuracy. Accuracy of predictions varies based on density of underlying data and level of seabed complexity. Artefacts occur in this dataset as a result of insufficient samples in relevant regions. This dataset is intended for use at national and regional scales. The dataset may not be appropriate for use at local scales in areas where sample density is insufficient to detect local variation in sediment properties. To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that additional samples be collected and interpolations updated.

All available processed seismic data and well completion reports relevat to the 2007 Acreage Release. Datasets available in Geofrrame, Kingdom and Landmark workstation formats.

The Australian Marine Spatial Information System (AMSIS) is a web based interactive mapping and decision support system that improves access to integrated government and non-government information in the Australian Marine Jurisdiction. AMSIS is a decision support tool maintained by Geoscience Australia that brings together information required by Government, industry and private individuals with an interest in the regulation, geography and uses of Australia’s Marine Jurisdiction. AMSIS provides a mechanism to visualise competing interests in the marine space; using curated data from across Government, State, and academia to expose competing use, and enable discussion with the multi-sectoral users to better plan and manage the Jurisdiction. AMSIS contains many layers of information displayed in themes of Australia’s Maritime Boundaries, Petroleum, Fisheries, Environment, Native Title and general Regulation. Geoscience Australia is working with other Australian Government agencies, Industry and Academia to add additional information that will improve the functionality of AMSIS. All information provided in AMSIS is the best available at the time of publication. Although the best efforts have been made to ensure the information is current and accurate, the information is not warranted to be correct. Users should investigate the metadata records to understand the limitations on any information layer, and consult with the regulating agency before making any decision.

<p>This dataset measures the mean decadal warming rates of the sea surface temperature (SST) in 58 Australian Marine Parks (with the exception of the Heard Island and McDonald Islands Marine Park) over the past 25 years (1992 to 2016). They are derived from the Sea Surface Temperature Atlas of the Australian Regional Seas (SSTAARS). The field of “trend_d” represents the linear SST trend for March 1992 to December 2016. The unit of the warming rates is Celsius degree/per decade. <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.