AMB is a dataset depicting the limits of Australia's maritime jurisdiction as set out under UNCLOS and relevant domestic legislation. To this extent, AMB provides a digital representation of the outer limit of the 12 nautical mile territorial sea, the 24 nautical mile contiguous zone, the 200 nautical mile Exclusive Economic Zone and Australia's Continental Shelf, as well as, the 3 nautical mile coastal waters. Where Australia has agreements with neighbouring countries these treaty lines are also included in the data. The dataset has been compiled by Geoscience Australia in consultation with other relevant Commonwealth Government agencies including the Attorney-General's Department, the Department of Foreign Affairs and Trade, as well as the Australian Hydrographic Office.

Polgons representing Hydrogeological basement (base of the Jurassic-Cretaceous sequence) units in contact with base of the Great Artesian Basin. Compiled by Bruce Radke and used in conjuction with 'Great Artesian Basin hydrogeological units directly overlying the basement (base of the Jurassic-Cretaceous sequence)' to represent the hydraulic interconnection between the Great Artesian Basin and basement units.

Sourced from National Public & Indigenous Lands database.

A revolution is underway in the regulatory intensity of the marine jurisdiction and the technologies by which the jurisdiction is defined, navigated on and policed. This revolution if not properly managed has the capacity to undermine the technical and legal compact by which the most fundamental aspects of UNCLOS are managed - the maritime zones. The ready availability of high resolution coastal imagery and data, collected at high repeat cycles breaks the nexus between cartographic products and the baseline determination where its legal definition is the physical coastline. It is impractical to monitor, compute, distribute and archive the baseline of a highly dynamic coastline. In addition, the increasing establishment of spatially complex marine regulations creates an insatiable demand for more certainty in the determination of maritime zones. For instance, Australia administers over eighty separate regulatory zones through a dozen different agencies. States require a new method of characterising their baselines that is defensible in a precise digital world, and does not impose the costly and burdensome process of mapping a coastline in constant flux. The practical resolution is to adopt a fixed baseline compiled from the best available digital data at an epoch, then periodically updated it when considered appropriate. A fixed baseline is the answer to this problem which will bring with it certainty and repeatability via a method that recognises the costly and complex overhead of coastline characterisation. In this paper I will present a case for the adoption of a fixed baseline; illustrate the expensive impracticality of attempting to represent a fluid coastline to a world demanding certainty; how fixed baselines could form the basis of maritime zones; and finally demonstrate that adopting a fixed baseline is consistent with and desirable to International convention.

Map resulting from a request by Simon Moore, the DFAT resident officer in the Torres Strait. He wanted a diagram designed to be distributed to residents of the Torres Strait explaining the treaty arrangements. TRIM reference 2011-90238 Container 2010/4054

The Regions data set was created as one of three broad-scale data layers to facilitate the definition of Primary and Secondary compartments. The Regions data is provided so that the logic of the compartment creation can be understood. With regards to spatial scale, the Regions data set represents one of the mid-scale products, as shown in the hierarchical listing for all of the polygon data sets shown below: - Coastal Realms (1:5 000 000) - Coastal Regions (1:1 000 000) - Coastal Divisions (1:250 000) - Primary Compartments (1:250 000 - 1:100 000) - Secondary Compartments (1:100 000 - 1:25 000)

This dataset attempts to reflect the boundaries of claimant applications for Native Title as per the Register of Native Title Claims (s185, Native Title Act; Commonwealth). This is a national dataset but data is stored by jurisdiction (State), for ease of use. Applications stored for each jurisdiction dataset include applications which overlap into adjoining jurisdictions as well as applications which overlap with these. This dataset depicts the spatial record of registered claimant applications. Aspatial attribution includes National Native Title Tribunal number, Federal Court number, application status and the names of both the NNTT Case Manager and Lead Member assigned to the application. Applicants of registered applications have the Right To Negotiate (RTN) with respect to certain types of Future Acts over the area being claimed. Whilst applications that are determined are recorded on a separate register, all registered applications remain on the Register of Native Title Claims until otherwise finalised.

This dataset reflects the boundaries of those Indigenous Land Use Agreements (ILUA's) that have entered the notification process or have been registered and placed on the Register of Indigenous Land Use Agreements (s199A, Native Title Act; Commonwealth). This is a national dataset. A spatial attribution includes National Native Title Tribunal number, Name, Agreement Type, Proponent, Area and Registration Date.

This dataset reflects the boundaries of those Indigenous Land Use Agreements (ILUA's) that have entered the notification process or have been registered and placed on the Register of Indigenous Land Use Agreements (s199A, Native Title Act; Commonwealth). This is a national dataset. A spatial attribution includes National Native Title Tribunal number, Name, Agreement Type, Proponent, Area and Registration Date.

A sequence of stranded coastal barriers in south-east South Australia preserves a record of sea-level variations over the past 800 ka. Huntley et al. (Quat. Sci. Rev. 12 (1993a) 1; Quat. Sci. Rev. 13 (1994a) 201) attempted to test thermoluminescence (TL) dating methods and found good agreement between quartz TL ages with independent ages for these dunes. We investigate the accuracy of the single-aliquot regenerative-dose (SAR) procedure (Radiat. Meas. 32 (2000) 57) over an extended age range of 0-250 ka, by comparing SAR-OSL ages determined on quartz extracts from these dunes with the existing chronology. We show that Robe II range is 60 ka, and that Robe III is 100 ka old. Not surprisingly, the OSL ages increase monotonically from the Robe II range to the West Naracoorte range. For the younger dunes (<240 ka), the SAR-OSL ages agree with the expected ages within 1 errors, whereas for the older dunes the SAR ages are consistent with independent ages within 2 error limits. We consider these results to be very promising, and lend support to the large number of quartz SAR-OSL ages being presented in the literature, where such comparisons with independent chronology are not usually possible.