ESRI grids showing sea salinity, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to …Show full descriptionESRI grids showing sea salinity, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create CARS2000 resolves at each point a mean value and a sinusoid with 1 year period (and in some cases a 6 month period sinusoid - the "semi-annual cycle".) The provided "annual amplitude" is simply the magnitude of that annual sinusoid. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. CARS2000 is derived from ocean cast data, which is always measured above the sea floor. However, for properties which do not change rapidly near the sea floor, this would not lead to a significant error. All the limitations of CARS2000 also apply here.

The provided data (the Data) represent a raster map of agricultural profit at full equity (PFE) for Australia for the year 2005/06. Values of PFE are provided in ($/ha). PFE is a measure of profit which is calculated as the revenue from the sale of agricultural commodities minus all fixed and variable costs. This concept is based on the assumption that the land is fully owned (100% equity). The unit of PFE is $/ha. The Data are provided as a raster dataset that is compatible with ArcGIS. The spatial resolution is ~ 1km. Values provided are not for individual commodities (e.g. wheat, barley etc.) but for a set of commodity classes known as SPREAD classes (e.g. winter cereals, winter oilseeds) and broad land use categories (grazing, natural pastures etc.). The Data do not provide information with regards to the associated land use. To link values of PFE to the associated land use (SPREAD class) the Data need to be linked to the land use map of the year 2005/06 (Source: ABARE–BRS 2010. Land Use of Australia, Version 4, 2005-06 dataset).

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The OZ (Australian) SEEBASE™ compilation represents many years of work by FROGTECH in the Australian petroleum, mineral and coal sectors.

During this time FROGTECH has undertaken numerous projects in Australia with both the private and government sectors.

These projects have resulted in the development of a model of the geological evolution of the Phanerozoic Basins that is summarised in a GIS and a report. The model is consistent with a wide range of data-sets including airborne and satellite remote sensing, seismic, well and outcrop observations.

The Phanerozoic basins of Australia is formed by the repeated reactivation of long-lived basement structures. By understanding the genesis and geometry of the old basement structures, we have produced a consistent, testable model for the evolution of the basins that explains their structural framework and architecture. The SEEBASE™ model and structural interpretation can now be used as the basis for a new understanding of the sequence stratigraphy and petroleum systems of the Late Proterozoic to Recent basins of Australia.

OZ SEEBASE™ Version 2 includes updated OZ SEEBASE™ and SEEBASE™ Derivative files (sediment thickness and basement thickness - originally called "Crustal thickness" in Version 1). Geophysical and DEM images have been changed from ecws to jpgs to avoid ArcGIS ecw compatibility issues. Updated regions include: Darling Basin (NSW), Sydney Basin (NSW), Renmark Trough (SA), Stuart Shelf (SA), and the Neoproterozoic Redcliff Pound Group (WA/NT).

Dataset History

OZ SEEBASE was supplied to Geoscience Australia by Frog Tech, the creators and collaborators of this data. Full metadata for each data element (feature class, raster, etc) can be viewed in the description tab of ArcCatalog.

This data was supplied with the following caveat: "OZSEEBASE was a project funded by Shell and supported by GA but, at the time, the exact licensing wasn't clear and hasn't been addressed since. However, it is freely available and there are no restrictions on useage. We just ask for Attribution where it is used"

For more information see: http://www.frogtech.com.au/products/oz-seebase

Dataset Citation

FROGTECH (2014) Phanerozoic OZ SEEBASE v2 GIS. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/26e0fbd9-d8d0-4212-be52-ca317e27b3bd.

ESRI grids showing sea temperature, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create CARS2000 resolves at each point a mean value and a sinusoid with 1 year period (and in some cases a 6 month period sinusoid - the "semi-annual cycle".) The provided "annual amplitude" is simply the magnitude of that annual sinusoid. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. CARS2000 is derived from ocean cast data, which is always measured above the sea floor. However, for properties which do not change rapidly near the sea floor, this would not lead to a significant error. All the limitations of CARS2000 also apply here.

The dataset is made publicly available as a GIS at nominal 1:5 000 000 scale, and shows the time-space-event distribution of mafic-ultramafic magmatism in Australia from the early Archean to the present day. Development of this GIS has been a multi-year project and earlier released extracts (in viewable pdf form with accompanying Geoscience Australia Records) included compilations for the Archean magmatic record, the Proterozoic magmatic record, and the Australian Large Igneous Provinces (LIPs). Publication of the GIS completes the series with addition of the Phanerozoic magmatic record, and formalisation of the complete record of Archean-Phanerozoic magmatic events as a single series. The chronology of Australian mafic-ultramafic magmatism resolves into 74 magmatic events within, predominately, resolvable bands of ±10 million years. Each event is identified by geological units grouped by similar age - this coeval magmatism may or may not be genetically related and may be in response to different geodynamic environments. These magmatic events range in age from the Eoarchean ~3730 Ma ME 1 - Manfred Event, confined within a small remnant domain within the Yilgarn Craton, to the widespread record of Cenozoic magmatism in eastern Australia (ME 72 to ME 74). The magmatic events range in magnitude from the giant volumes of magma in Large Igneous Provinces, to events whose only known occurrence is an isolated record of dated mafic igneous rock in a single drillhole. The GIS makes it possible to focus on the location of any one of these magmatic events, or groups of magmatic events that may be of interest, and overlay context from any other information that users may have available. The delineation of magmatic events for this study is based on several hundred published ages of mafic and ultramafic igneous rocks from different isotopic systems and minerals. In addition to their ages and extents, primary recorded aspects of each magmatic event include the presence or absence of ultramafic components. Further to this, the presence or correlation of known magmatic-related mineralisation is highlighted in Time-Space-Event Charts of Australia (Appendix D, figures D1 and D2). The basis for mapping has been regional solid geology, interpreted basement geology and surface geology base maps made available by the State and Northern Territory geological surveys, providing insight into the total areal extent of the magmatic systems under cover. Also available to complement the Event GIS are the domains and element boundaries from the Australian Crustal Elements map. These boundaries which are which are based on geophysical extrapolation of crustal elements under the cover of continental basins, provide a framework of the shallow crustal structure of the continent, and are used in this guide. The Crustal Elements digital dataset is available for download from the Geoscience Australia website. Insight into the geodynamic development of the continent is provided by the magmatic event structure through time. The compilation draws attention to concentrations of mafic-ultramafic magmatism in the Archean from ~2820-2665 Ma, in the Proterozoic from ~1870-1590 Ma, and in the late Neoproterozoic-Phanerozoic from ~530-225 Ma. These three time spans contain 39 of the 74 magmatic events, 53% of the entire mafic-ultramafic magmatic event record of the continent. The periods in between have mafic-ultramafic magmatic records that are more dispersed in time. Other features of interest include the shared geographic and crustal element locations of Large Igneous Provinces and numerous events with smaller magma volumes. Read the rest of the Executive Summary in the document.

Set of twelve grids showing mean sea surface temperature for each month from data collected by CSIRO Remote Sensing Division from the USA's National Oceanographic and Atmospheric Administration …Show full descriptionSet of twelve grids showing mean sea surface temperature for each month from data collected by CSIRO Remote Sensing Division from the USA's National Oceanographic and Atmospheric Administration (NOAA) satellites. These grids have been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

ESRI grid of mean sea surface currents derived from annual and semi-annual temperature and salinity cycles stored in CARS2000. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. These grids have been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

The Millennium Coral Reef Mapping Project provides thematic maps of coral reefs worldwide at geomorphological scale. Maps were created by photo-interpretation of Landsat 7 and Landsat 8 satellite images. Maps are provided as standard Shapefiles usable in GIS software. The geomorphological classification scheme is hierarchical and includes 5 levels. The GIS products include for each polygon a number of attributes. The 5 level geomorphological attributes are provided (numerical codes or text). The Level 1 corresponds to the differentiation between oceanic and continental reefs. Then from Levels 2 to 5, the higher the level, the more detailed the thematic classification is. Other binary attributes specify for each polygon if it belongs to terrestrial area (LAND attribute), and sedimentary or hard-bottom reef areas (REEF attribute). Examples and more details on the attributes are provided in the references cited. The products distributed here were created by IRD, in their last version. Shapefiles for 29 atolls of Australia as mapped by the Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Funded by National Aeronautics and Space Administration, NASA grants NAG5-10908 (University of South Florida, PIs: Franck Muller-Karger and Serge Andréfouët) and CARBON-0000-0257 (NASA, PI: Julie Robinson) from 2001 to 2007. Funded by IRD since 2003 (in kind, PI: Serge Andréfouët).

The land-use profile surrounding a neighbourhood is a determinant of health and associated with socioeconomic outcomes. In Australia, there is no national publicly available dataset detailing the land-use profile surrounding residential neighbourhoods. Using PostGIS a centroid was placed in every Australian Bureau of Statistics (ABS) defined Mesh Block (MB) – the smallest geographical structure in Australian geography which details the category of land-use (i.e. residential, parkland, commercial, industrial etc.) and population. Each MB was assigned a remoteness classification and socioeconomic status, as defined by the ABS. After a buffer based on a radius of 400 metres, 1-kilometre, 2-kilometres, and 5-kilometres was calculated around each centroid, the square metre of, and the percentage of the buffer covered by, each land-use category was calculated. This dataset will support the decisions of urban planners, diverse government departments, researchers and those involved in public and environmental health.

This GIS dataset shows where Geoscience Australia (GA) has acquired regional seismic reflection data as a part of Australian Government's Onshore Energy Security Program (OESP) in collaboration with State and Territory geological surveys, AuScope and Australian National Seismic Imaging Resource (ANSIR). During 2006-2011 GA collected over 6,500 line kilometres of new world-class seismic reflection data within Australia for use by industry and government. This dataset is generated from files containing CDP (Common Depth Point) coordinates of all OESP seismic surveys. The CDP line is a curve of best fit through the midpoints between sources and receivers, which optimises the fold of the data while minimising the subsurface area of reflections contributing to each nominal CDP. Each trace (source-receiver pair) is allocated to the nearest CDP bin to its midpoint. The interval between each CDP traces is 20 metres.

National Forest Inventory Continental Database is a database of forest resource attributes covering all land tenures for Australia and Territories. Forest is defined as woody vegetation in excess of 5 metres in height, with a projective foliage cover of >30%. The NFI is also collecting information outside this definition. The data is collected by aerial photo interpretation, field measurements, field Specimens, field notes, maps, and remote sensing data from satellite. The database is made up of separate State wide databases that have been normalised and collated into a single database. Scales and levels of completeness vary between state and within states. These gaps are being addressed by NFI funded regional and local scale projects.

The data base includes gf (Growth form of the vegetation), g1/s1 (the most abundant or physically predominant species in the tallest stratum), g2/s2 (another species that is always present and conspicuous in the tallest stratum), g3/s3 (species selected from any stratum, usually a lower stratum as an indicator species or to destinguish between associations), minh (minimum height in metres), maxh (maximum height in metres), medh (median height derived through consultation with the suppliers of the data), h_class (height class as per Walker and Hopkins (1990)), minpfc (minimum projective foliage cover), maxpfc (maximum projective foliage cover), medpfc (median projective foliage cover), mincc (minimum crown cover), maxcc (maximum crown cover), minc (minimum crown separation ratio), maxc (maximum crown separation ratio), c_class (cover classes as per Walker and Hopkins (1990)), plant_code (equivalent to frq_code for plantations), and description (description of the type of plantation). The data is available in ArcInfo EXPORT format (the interchange format for this Geographic Information System). The data set is about 500 megabytes.

Main Rivers of Australia (1:1M Scale)

ESRI grids showing silicate, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create …Show full descriptionESRI grids showing silicate, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create CARS2000 resolves at each point a mean value and a sinusoid with 1 year period (and in some cases a 6 month period sinusoid - the "semi-annual cycle".) The provided "annual amplitude" is simply the magnitude of that annual sinusoid. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. CARS2000 is derived from ocean cast data, which is always measured above the sea floor. However, for properties which do not change rapidly near the sea floor, this would not lead to a significant error. All the limitations of CARS2000 also apply here.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The Geoscience Australia Onshore Seismic GIS layer is layer showing the locations of Onshore Seismic Survyes carried out by Geoscience Australia and it's predecessors, Australian Geological Survey Organisation (AGSO) and the Bureau of Mineral Resources (BMR). The layer contains URL link to free downloadable data. The data includes processed data in SEGY format. The metadata includes acquisition reports, processing reports, processed images and so on. The data acquisition was carried out in Australia from 1949 to present by Geoscience Australia and various partners such as State and Geologcial Survey Organisations. The set of reflection and refraction data comprises over 12,000 km of coverage, and provides an insight into the variations in crustal architecture in the varied geological domains.

Dataset History

First published 2014. Will be updated as latest data becomes available.

http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_f229d5de-356c-573c-e044-00144fdd4fa6/Geoscience+Australia+Onshore+Seismic+GIS+layer

The data acquisition was carried out in Australia from 1949 to present by Geoscience Australia and various partners such as State and Geologcial Survey Organisations.

Dataset Citation

Geoscience Australia (2014) Geoscience Australia onshore seismic GIS layer. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/d83e995a-41ac-41a7-806b-87b09de98065.

Digital elevation model of Australia, 9 second cell size (derived from AUSLIG-AGSO 9 second DEM).

Populated Places in Australia (1:1M Scale)

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at …Show full descriptionThis data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

topographic map vector data

ESRI grids showing dissolved oxygen, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to …Show full descriptionESRI grids showing dissolved oxygen, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create CARS2000 resolves at each point a mean value and a sinusoid with 1 year period (and in some cases a 6 month period sinusoid - the "semi-annual cycle".) The provided "annual amplitude" is simply the magnitude of that annual sinusoid. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. CARS2000 is derived from ocean cast data, which is always measured above the sea floor. However, for properties which do not change rapidly near the sea floor, this would not lead to a significant error. All the limitations of CARS2000 also apply here.

Built-Up Areas in Australia (10M scale)