The annual offshore petroleum exploration acreage release is part of the government’s strategy to promote offshore oil and gas exploration. Each year, the government invites companies to bid for the opportunity to invest in oil and gas exploration in Australian waters. The 2021 acreage release consists of 21 areas offshore of Western Australia, Victoria, Tasmania and the Ashmore and Cartier Islands.

The annual offshore petroleum exploration acreage release is part of the government’s strategy to promote offshore oil and gas exploration. Each year, the government invites companies to bid for the opportunity to invest in oil and gas exploration in Australian waters. The 2021 acreage release consists of 21 areas offshore of Western Australia, Victoria, Tasmania and the Ashmore and Cartier Islands.

Monash University under commission of Geoscience Australia produced an offshore wind capacity factor map assessed at a 150m hub height applying the Bureau of Meteorology 10 year (2009-2018) “Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia” (BARRA) hindcast model. The wind capacity factor has been calculated using the bounding curve of all scaled power curves for wind turbines available within the Open Energy Platform as of 2021. Average wind capacity factor values were also calculated for the Vestas V126 3.45MW and the GE V130 3.2MW wind turbines and are available in this web map service.

This web service shows the spatial locations of potential CO2 storage sites that are at an advanced stage of characterisation and/or development. The areas considered to be at an advanced stage are parts of the Cooper Basin in central Australia, a portion of the Surat Basin (Queensland), the offshore Gippsland Basin (Victoria), where the CarbonNet Project is currently at an advanced stage of development and the Petrel Sub-basin. This service will be presented in the AusH2 Portal.

Geoscience Australia (GA) is a government agency that delivers much scientific data via web services for government and research use. As a science agency, the expectation is that GA will allow users of its data to be able to cite it as one would cite academic papers allowing authors of derived works to accurately represent their sources. We present a methodology for assisting with the citation of web service requests via provenance information recording and delivery. We decompose the representation of a web service request into endurant and occurrent components, attempting to source as much information as possible about the endurant parts as organisations find these easiest to manage. We then collect references to those parts in an endurant 'bundle', which we make available for citation. Our methodology is demonstrated in action within the context of an operational government science agency, GA, that publishes many thousands of datasets with persistent identifiers and many hundreds of web services but has not, until now, provided citable identifiers for web service-generated dynamic data