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 Coal Basin Outlines dataset is a combination of data from various sources displaying the best available (7 March 2013) coal basin extents for all of Australia. These extents were taken predominantly from the Australian Geological Provinces Database(extract from 4 November 2012 - see metadata statement below) with additional data coming from the Australian Sedimentary Basins Database (27 August 2012 update), State (South Australia) basin databases and hydrogeological basin databases.

The Australian Geological Provinces Database contains descriptions and spatial extents of the fundamental geological elements of the Australian continent and immediate surrounds. Captured province types include sedimentary basins, tectonic provinces such as cratons and orogens, igneous provinces, and metallogenic provinces. Spatial data has been captured largely at approximately 1:1M scale for best use at between 1:2M to 1:5M scale.

Where possible, provinces have been attributed with their age, contained lithostratigraphic units, relationships to other provinces, and geological history. The geological definition of some provinces, in particular certain sedimentary basins and orogens, is contentious. While every effort has been made to achieve a consensus interpretation of each province, scientific debate may still occur about the nature and extent of some provinces.

The total 2D spatial extent of most provinces in the database has been captured (ie, the full extent of a province under any overlying cover). The extent of outcrop of some provinces has also been captured. Where possible, the full extent outlines of provinces have been attributed with information about the source, accuracy, and observation method of those lines.

Purpose

Note that these datasets are pre-release data. While every effort has been made to maintain accuracy and precision during data compilation, the data have not been fully QA checked for public release. This was extracted from the database on 01/11/2012.

Dataset History

The following list shows which database each basin was derived from:

Australian Geological Provinces Database (4 November 2012): Arckaringa, Bowen, Clarence-Moreton, Cooper, Eucla, Galilee, Gippsland, Gloucester, Gunnedah, Marybourough, Mulgildie, Murray, Otway, Pedirka, Perth, Polda, Styx, Surat, Sydney and Tasmania basins

Australian Sedimentary Basins Database (27 August 2012): Canning Basin (Fitroy Trough), Eromanga, Oaklands, Collie, Boyup, Wilga and Leigh Creek basins

State provided data - South Australia: St Vincents Basin

Hydrogeological Basin Data: Laura Basin

Feature Classes:

ProvinceFullExtent - polygons showing the full 2D spatial extent of a province. This includes non-outcropping regions of a province that may be concealed by regolith or other overlying provinces. The ProvinceFullExtent feature class has two related tables, linked through relationship classes:

• ProvinceRelations - this table lists relationships between provinces (eg, the Surat Basin overlies the Bowen Basin)

• ProvinceStratigraphy - this table list the stratigraphic units contained within a province. Full details of each stratigraphic unit are available at http://dbforms.ga.gov.au/www/geodx.strat_units.int

ProvinceOutcrop - polygons showing the outcropping extent of a province. Note that not all provinces have this data available.

ProvinceFullExtentBdy - lines overlying the margins of province full extent polygons showing the nature of contacts between provinces, data source, and spatial accuracy. Note that not all provinces have this data available.

Further information can be found at http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_c008f6a4-6b89-6c99-e044-00144fdd4fa6/Australian+In+Situ+Coal+Resources%2C+2012

Dataset Citation

Geoscience Australia (2013) Australian Coal Basins. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/9d5a8d74-a201-42bd-9d49-3c392244be16.

Australia's Land Borders is a product within the Foundation Spatial Data Framework (FSDF) suite of datasets. It is endorsed by the ANZLIC - the Spatial Information Council and the Intergovernmental Committee on Surveying and Mapping (ICSM) as a nationally consistent and topologically correct representation of the land borders published by the Australian states and territories.

The purpose of this product is to provide: (i) a building block which enables development of other national datasets; (ii) integration with other geospatial frameworks in support of data analysis; and (iii) visualisation of these borders as cartographic depiction on a map. Although this dataset depicts land borders, it is not nor does it suggests to be a legal definition of these borders. Therefore it cannot and must not be used for those use-cases pertaining to legal context.

This product is constructed by Geoscience Australia (GA), on behalf of the ICSM, from authoritative open data published by the land mapping agencies in their respective Australian state and territory jurisdictions. Construction of a nationally consistent dataset required harmonisation and mediation of data issues at abutting land borders. In order to make informed and consistent determinations, other datasets were used as visual aid in determining which elements of published jurisdictional data to promote into the national product. These datasets include, but are not restricted to: (i) PSMA Australia's commercial products such as the cadastral (property) boundaries (CadLite) and Geocoded National Address File (GNAF); (ii) Esri's World Imagery and Imagery with Labels base maps; and (iii) Geoscience Australia's GEODATA TOPO 250K Series 3. Where practical, Land Borders do not cross cadastral boundaries and are logically consistent with addressing data in GNAF.

It is important to reaffirm that although third-party commercial datasets are used for validation, which is within remit of the licence agreement between PSMA and GA, no commercially licenced data has been promoted into the product. Australian Land Borders are constructed exclusively from published open data originating from state, territory and federal agencies.

This foundation dataset consists of edges (polylines) representing mediated segments of state and/or territory borders, connected at the nodes and terminated at the coastline defined as the Mean High Water Mark (MHWM) tidal boundary. These polylines are attributed to convey information about provenance of the source. It is envisaged that land borders will be topologically interoperable with the future national coastline dataset/s, currently being built through the ICSM coastline capture collaboration program. Topological interoperability will enable closure of land mass polygon, permitting spatial analysis operations such as vector overly, intersect, or raster map algebra. In addition to polylines, the product incorporates a number of well-known survey-monumented corners which have historical and cultural significance associated with the place name.

This foundation dataset is constructed from the best-available data, as published by relevant custodian in state and territory jurisdiction. It should be noted that some custodians - in particular the Northern Territory and New South Wales - have opted out or to rely on data from abutting jurisdiction as an agreed portrayal of their border. Accuracy and precision of land borders as depicted by spatial objects (features) may vary according to custodian specifications, although there is topological coherence across all the objects within this integrated product. The guaranteed minimum nominal scale for all use-cases, applying to complete spatial coverage of this product, is 1:25 000. In some areas the accuracy is much better and maybe approaching cadastre survey specification, however, this is an artefact of data assembly from disparate sources, rather than the product design. As the principle, no data was generalised or spatially degraded in the process of constructing this product.

Some use-cases for this product are: general digital and web map-making applications; a reference dataset to use for cartographic generalisation for a smaller-scale map applications; constraining geometric objects for revision and updates to the Mesh Blocks, the building blocks for the larger regions of the Australian Statistical Geography Standard (ASGS) framework; rapid resolution of cross-border data issues to enable construction and visual display of a common operating picture, etc.

This foundation dataset will be maintained at irregular intervals, for example if a state or territory jurisdiction decides to publish or republish their land borders. If there is a new version of this dataset, past version will be archived and information about the changes will be made available in the change log.

Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/data/dataset/previous-versions-of-the-geoscape-administrative-boundaries

Geoscape Administrative Boundaries is Australia’s most comprehensive national collection of boundaries, including government, statistical and electoral boundaries. It is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.

This dataset comprises seven Geoscape products:

• Localities
• Local Government Areas (LGAs)
• Wards
• Australian Bureau of Statistics (ABS) Boundaries
• Electoral Boundaries
• State Boundaries and
• Town Points

Updated versions of Administrative Boundaries are published on a quarterly basis.

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Notable changes in the May 2025 release

• Victorian Wards have seen almost half of the dataset change now reflecting the boundaries from the 2024 subdivision review. https://www.vec.vic.gov.au/electoral-boundaries/council-reviews/ subdivision-reviews.

  • There have been spatial changes (area) greater than 1 km2 to 66 wards in Victoria.

• One new locality ‘Kenwick Island’ has been added to the local Government area ‘Mackay Regional’ in Queensland.

  • There have been spatial changes(area) greater than 1 km2 to the local government areas 'Burke Shire' and 'Mount Isa City' in Queensland.

• There have been spatial changes(area) greater than 1 km2 to the localities ‘Nicholson’, ‘Lawn Hill’ and ‘Coral Sea’ in Queensland and ‘Calguna’, ‘Israelite Bay’ and ‘Balladonia’ in Western Australia.

• An update to the NT Commonwealth Electoral Boundaries has been applied to reflect the redistribution of the boundaries gazetted on 4 March 2025.

• Geoscape has become aware that the DATE_CREATED and DATE_RETIRED attributes in the commonwealth_electoral_polygon MapInfo TAB tables were incorrectly ordered and did not match the product data model. These attributes have been re-ordered to match the data model for the May 2025 release.

IMPORTANT NOTE: correction of issues with the 22 November 2022 release

• On 28 November 2022, the Administrative Boundaries dataset originally released on 22 November 2022 was amended and re-uploaded after Geoscape identified some issues with the original data for 'Electoral Boundaries'.
• As a result of the error, some shapefiles were published in 3D rather than 2D, which may affect some users when importing data into GIS applications.
• The error affected the Electoral Boundaries dataset, specifically the Commonwealth boundary data for Victoria and Western Australia, including 'All States'.
• Only the ESRI Shapefile formats were affected (both GDA94 and GDA2020). The MapInfo TAB format was not affected.
• Because the datasets are zipped into a single file, once the error was fixed by Geoscape all of Administrative Boundaries shapefiles had to be re-uploaded, rather than only the affected files.
• If you downloaded either of the two Administrative Boundary ESRI Shapefiles between 22 November and 28 November 2022 and plan to use the Electoral Boundary component, you are advised to download the revised version dated 28 November 2022. Apologies for any inconvenience.

Further information on Administrative Boundaries, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.

Note: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 licence.

Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International license (CC BY 4.0).

Preferred attribution for Adapted Material:

Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

What to Expect When You Download Administrative Boundaries

Administrative Boundaries is large dataset (around 1.5GB unpacked), made up of seven themes each containing multiple layers.

Users are advised to read the technical documentation including the product change notices and the individual product descriptions before downloading and using the product.

Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous

License Information

This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for states and territories in Australia.State and Territory (S/T) are spatial units representing the geographic extent of Australia. Jervis Bay Territory, the Territories of Christmas Island, Cocos (Keeling) Islands and Norfolk Island are included as one spatial unit at the State and Territory level under the category of Other Territories.Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.

Update October 2018 - frequency change to Business Names dataset

From 31 October 2018, the Business Names dataset will be updated weekly every Wednesday.

Dataset summary

ASIC is Australia’s corporate, markets and financial services regulator. ASIC contributes to Australia’s economic reputation and wellbeing by ensuring that Australia’s financial markets are fair and transparent, supported by confident and informed investors and consumers.

Australian business names are required to keep their details up to date on ASIC's Business Name Register. Information contained in the register is made available to the public to search via ASIC's website.

Select data from the ASIC's Business Name Register will be uploaded each month to www.data.gov.au. The data made available will be a snapshot of the register at a point in time. Legislation prescribes the type of information ASIC is allowed to disclose to the public.

The information included in the downloadable dataset is:

• Business Name
• Status
• Date of Registration
• Date of Cancellation
• Renewal Date
• Former State Number (where applicable)
• Previous State of Registration
• Australian Business Number (ABN)

Additional information about companies can be found via ASIC's website. Accessing some information may attract a fee.

More information about searching ASIC's registers.

Forests of Australia (2023) is a continental spatial dataset of forest extent, by national forest categories and types, assembled for Australia's State of the Forests Report – 2023 update. It was developed from multiple forest, vegetation and land cover data inputs, including contributions from Australian, state and territory government agencies and external sources.

A forest is defined in this dataset as: "*An area, incorporating all living and non-living components, that is dominated by trees having usually a single stem and a mature or potentially mature stand height exceeding two metres and with existing or potential crown cover of overstorey strata about equal to or greater than 20 per cent. This includes Australia's diverse native forests and plantations, regardless of age. It is also sufficiently broad to encompass areas of trees that are sometimes described as woodlands*".

The dataset was compiled by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) for the National Forest Inventory (NFI), a collaborative partnership between the Australian and state and territory governments. The role of the NFI is to collate, integrate and communicate information on Australia's forests. State and territory government agencies collect forest data using independent methods and at varying scales or resolutions. The NFI applies a national classification to state and territory data to allow seamless integration of these datasets. Multiple independent sources of external data are used to fill data gaps and improve the quality of the final dataset.

The NFI classifies forests into three national forest categories (Native forest, Commercial plantation, and Other forest) and then into various forest types. Commercial plantations presented in this dataset were sourced from the National Plantation Inventory (NPI) spatial dataset (2021) (unpublished, also produced by ABARES. Another dataset produced by ABARES, the Catchment scale Land Use and Management (CLUM) dataset (2020), was used to identify and mask out land uses that are inappropriate to map as forest.

The Forests of Australia (2023) dataset is produced to fulfil requirements of Australia's National Forest Policy Statement and the Regional Forests Agreement Act 2002 (Cwth), and is used by the Australian Government for domestic and international reporting.

This dataset is updated every five years for the Australia's State of the Forests Report Series. Further information can be found on the Forests Australia website: http://www.agriculture.gov.au/abares/forestsaustralia/sofr/

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.

This is a polygon coverage representing the wetlands cited in the "A Directory of Important Wetlands in Australia" Third Edition (EA, 2001), plus various additions for wetlands listed after 2001. This dataset includes attribute information showing the wetlands type and criteria for listing for each wetland.

The public version which does not include wetland type is available for download at https://data.gov.au/data/dataset/6636846e-e330-4110-afbb-7b89491fe567

This coverage is a compilation of various data sources and has been collected using a variety of methods. This dataset should therefore be used as an indicative guide only to wetland boundaries and locations. The data has been collated by the Australian Government Department of the Environment from various datasets including those supplied by the relevant State agencies.

Attributes in the dataset include:

WNAME: the name of the wetland site as listed in the Directory.

REFCODE: an individual reference number including a cross reference to the State in which it occurs. The first 2-3 characters relate to the State or Territory of origin followed by the 3 digit sequential wetland numeric code. (eg. "NSW001": NSW=New South Wales; 001=wetland number).

WET_TYPE: The wetland type code. Definitions are shown below.

CRITERIA: The criteria for listing code. Definitions are shown below.

WETLAND TYPE CODES:

A-Marine and Coastal Zone wetlands

1. Marine waters-permanent shallow waters less than six metres deep at low tide; includes sea bays, straits

2. Subtidal aquatic beds; includes kelp beds, seagrasses, tropical marine meadows

3. Coral reefs

4. Rocky marine shores; includes rocky offshore islands, sea cliffs

5. Sand, shingle or pebble beaches; includes sand bars, spits, sandy islets

6. Estuarine waters; permanent waters of estuaries and estuarine systems of deltas

7. Intertidal mud, sand or salt flats

8. Intertidal marshes; includes saltmarshes, salt meadows, saltings, raised salt marshes, tidal brackish and freshwater marshes

9. Intertidal forested wetlands; includes mangrove swamps, nipa swamps, tidal freshwater swamp forests

10. Brackish to saline lagoons and marshes with one or more relatively narrow connections with the sea

11. Freshwater lagoons and marshes in the coastal zone

12. Non-tidal freshwater forested wetlands

B-Inland wetlands

1. Permanent rivers and streams; includes waterfalls

2. Seasonal and irregular rivers and streams

3. Inland deltas (permanent)

4. Riverine floodplains; includes river flats, flooded river basins, seasonally flooded grassland, savanna and palm savanna

5. Permanent freshwater lakes (> 8 ha); includes large oxbow lakes

6. Seasonal/intermittent freshwater lakes (> 8 ha), floodplain lakes

7. Permanent saline/brackish lakes

8. Seasonal/intermittent saline lakes

9. Permanent freshwater ponds ( 8 ha)

10. Ponds, including farm ponds, stock ponds, small tanks (generally

Purpose

State agency contributors include the Queensland Environmental Protection Authority, NSW Department of Environment and Conservation and the Victorian Department of Sustainability and Environment.

For the identification of wetland boundaries or locations in regard to the compliance of activities with relevant State legislation, the relevant State authority should be contacted to obtain the most recent and accurate wetland boundary information available.

The criteria for the definition of a wetland used in this dataset is that adopted by the Ramsar Convention, namely: "areas of marsh, fen, peatland or water, whether natural or artificial, permanent or temporary, with water that is static or flowing, fresh, brackish or salt, including areas of marine water the depth of which at low tide does not exceed six meters."

Dataset History

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

This version of the Directory of Important Wetlands has been developed to include information regarding wetland type and criteria, which allows greater access to wetland information for non-technical users of this dataset. This version of the Directory contains the same wetland boundaries as the full dataset maintained by the Department, but has been dissolved to a multipart polygon coverage on fileds WNAME (Wetland Name) and REFCODE (Reference Code). This has reduced the total number of records in the attribute table from around 30 000 to around 900.

The wetland type and criteria for listing codes have been added to the attribute table to allow users of this dataset to identify important ecological characteristics of each wetland without having to seperately refer to the full Directory of Important Wetlands textual database maintained within the Department as an oracle database.

The full textual database giving further detals on each wetland can be accessed on the internet at http://www.environment.gov.au/water/wetlands/database/index.html

The coverage has been largely derived from the TOPO250K.WATERBOD coverage (AUSLIG, 1992).

A significant portion of some of the wetland boundaries for each state have also been supplied directly from the relevant state agencies. These include the QLD Environmental Protection Agency, NSW Department of Environment and Conservation, and the Victorian Department of Sustainability and Environment.

Data supplied from State agencies may have been collected using different collection methods. These may include remotely sensed images and digitized boundaries from topographic maps or aerial photos.

For the identification of wetland boundaries or locations in regard to the compliance of activities with relevant State legislation, the relevant State authority should be contacted to obtain the most recent and accurate boundary information available.

In general the accuracy of wetland boundaries may be taken to be approximately +/- 250m in most cases.

In considering the accuracy of the wetland boundaries, users of this data should be aware of the dynamic nature of wetland boundaries and their likelihood of experiencing significant alteration over time due to climatic conditions.

Additional datasets used in compiling the Directory of Important Wetlands spatial data include:

Collaborative Australian Protected Areas Database CAPAD (Version 2.0, 1998)

National Estate, Important Wetlands Tasmania (WETLANDSREP97)

BUFFERED CENTROIDS: derived from coordinates contained in the Wetlands Inventory 2nd Ed. (ANCA, 1996) & 3rd Ed. (EA, 2001).

Location of Cook Island Nature Reserve off the North NSW coast updated to match NSW Dept of Environment and Climat Change data.

Quality

Scope: Dataset

External accuracy:

+/ - 250m can be assumed for most cases.

This dataset should be used only to indicatively locate wetland boundaries or approximate locations.

The data has been compiled from various sources and therefore mapping methodologies for wetlands is variable across State jurisdictions and over time.

In considering the accuracy of the wetland boundaries, users of this data should be aware of the dynamic nature of wetland boundaries and their likelihood of experiencing significant alteration over time due to climatic conditions.

Non Quantitative accuracy:

Most refcode attributes have been checked against the Directory of Important Wetlands. Refcode accuracy assumed to be 99% correct.

Most wname attributes have been checked against the Directory of Important Wetlands. wname accuracy assumed to be 99% correct.

Conceptual consistency:

Wetland boundaries (minimum sample of 1 in 5) are visually compared to various datasources (e.g. streamlines and topographic data) to ensure approximate accuracy when updates are received by the Department.

All wetlands are attributed with a unique reference code (REFCODE).

Some wetlands may be located only by approximate centroid points until data updates are received.

NSW wetlands supplied t in March 2004 are derived from Kingsford et. al, 'The Distribution of Wetlands in New South Wales', NSW NPWS.

NSW wetlands supplied t in March 2004 have been checked by NSW DEC against 100K and 250K topo mapsheets, Auslig waterbody data (1994) and 25K topo maps and aerial photos along coastal areas. (see 2003, Kingsford et. al, 'The Distribution of Wetlands in New South Wales', NSW NPWS).

QLD wetlands supplied by QLD EPA in June 2005 have had polygons attributed as 'exclusions' removed from this dataset to ensure that unlabelled maps do not misrepresent the extent of Directory wetlands.

Attributes of WET_TYPE and CRITERIA correspond wiht those supplied from state agenceis and inclued in the online textual database of wetlands accessed at http://www.environment.gov.au/water/wetlands/database/index.html .

Completeness omission:

99% Complete as of August 2005, Coverage will be updated and rebuilt as States/Territories provide full wetland boundaries.

Dataset Citation

Department of the Environment (2010) Directory of Important Wetlands in Australia (DIWA) Spatial Database including Wetlands Type and Criteria. Bioregional Assessment Source Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/e0e4b50c-029b-4b7a-b0f8-592c24fc2ac9.

Version 2 minor revision 27 June 2024.\r \r This is the latest compilation of land use mapping information for Australia’s regions as at December 2023. The land use data are supported by a supplementary commodities dataset, containing extra information on the location of select predominantly agricultural commodities. These datasets replace the previous 2020 December updates. \r Version 2 fixes issues caused during the conversion of the state vector datasets to rasters, where single pixel horizontal lines were generated in local areas. This does not affect the date or scale of mapping.\r \r These data were compiled by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) from vector land use datasets collected as part of state and territory mapping programs and other authoritative sources through the Australian Collaborative Land Use and Management Program (ACLUMP). These datasets are not recommended for change analysis or for national land use statistics—instead use the Land use of Australia 2010-11 to 2015-16.\r \r About the Catchment Scale Land Use of Australia – Update December 2023 spatial dataset:\r \r A seamless raster dataset that combines land use vector data for all state and territory jurisdictions, at a spatial resolution of 50 by 50 metres.\r Shows a single dominant land use for each location, based on the management objective of the land manager (as identified by state and territory agencies).\r Updates have been made to New South Wales, Northern Territory, Tasmania, Victoria, the capital city of Adelaide, parts of the Great Barrier Reef NRM regions, and national updates to select horticultural tree crops and protected cropping structures. There are also minor corrections to Western Australia, and more accurate representation of mining areas in South Australia. \r The date of mapping (2008 to 2023) and scale of mapping (1:5,000 to 1:250,000) vary and are provided as supporting datasets. \r Produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field. \r Refer to the metadata and ABARES website for additional information.\r \r About the Catchment Scale Land Use of Australia – Commodities – Update December 2023 spatial dataset:\r - Provides location, extent and year verified for 185 commodities, where mapped, as a vector dataset. \r - Commodity data are validated in the field and using other sources.\r - Generally, a single commodity is shown at a location reflecting the most recent date that location was verified.\r - The location of a commodity may change on a seasonal to annual basis, depending on factors such as climate, markets or farming systems.\r - Not nationally complete or comprehensive, and with various dates of capture (1967 to 2023) and input mapping products (2014 to 2023). \r - Refer to the metadata for additional information.\r \r Citation\r - Land use: ABARES 2024, Catchment Scale Land Use of Australia – Update December 2023 version 2, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, June, CC BY 4.0, DOI: 10.25814/2w2p-ph98\r - Commodities: ABARES 2024, Catchment Scale Land Use of Australia – Commodities – Update December 2023, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, February CC BY 4.0. DOI: 10.25814/zfjz-jt75

AbstractThis national harmonised dataset uses daily updates from State and Territory roadworks endpoints (APIs) to build a nationally consistent, harmonised historic database of roadworks and road closures over time across all of Australia. Daily updates from state/territory roadworks systems are queried to compile a set of historical and planned roadworks for all of Australia. The geospatial coverage of the dataset is all state-managed roads in Australia. Most jurisdictions include planned and unplanned works and closures, however data for Tasmania currently includes planned roadworks only. There are roadworks and road closures prior to 2016 but the dates may not be correct. Roadworks and road closures currently in progress may have an end date years into the future - the date predicted when roadworks or road closure will be complete.This data set could be used to understand (and potentially predict and manage) road damage and road closures and improve resilience in the context of natural disasters or disruptions.The API User Guide describes how the jurisdictions' data is combined and how to use the service for your application.Currency2016 to presentDate modified: TodayModification frequency: DailyData ExtentSpatial ExtentWest Bounding Longitude : 111°South Bounding Latitude : -43°East Bounding Longitude : 154°North Bounding Latitude : -10°Temporal Extent2016 to presentSource InformationThis data set is provided by the Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts (DITRDSCA).Map ServerMetadataPublic listingLineage StatementThe Harmonised National Roadworks and Road Closures dataset uses daily updates from state/territory roadworks systems to compile a set of historical roadworks for all of Australia. The geospatial coverage of the dataset is all state-managed roads in Australia. Most jurisdictions include planned and unplanned works and closures, however data for Tasmania currently includes planned roadworks only.Each state/territory uses a different set of roadwork "types" to classify the works. The harmonisation process groups like types into a set of categories which are consistent across all jurisdictions, for reporting and visualisation purposes. Where the data indicates the road is closed (via text description), a category of Road Closure is applied, irrespective of the state/territory "type".Data DictionaryAll LayersAttribute NameDescriptionidUnique identifier of the record in NFDH’s ArcGIS databaseunique_identifierUnique identifier provided by the source agencycategoryThe category of road event the record relates to, determined by the NFDH. The categories in the dataset are Event, Hazard, Other, Other Works, Road Closure, Road ConditionstypeClassification of the type of roadwork, provided by the source agency. Each of the types provided by the states/territories are mapped to a ‘category’ to standardise the data. This field is included for the user’s information only and is not harmonised. It is not consistently applied between jurisdictionsfrom_dateDate and time the roadwork starts, in UTC format (milliseconds)to_dateDate and time the roadwork ends, in UTC format (milliseconds)planned_start_dateDate and time the roadwork is planned to start – this field is unpopulated for all records in the dataset as the source APIs do not include this informationplanned_end_dateDate and time the roadwork is planned to end – this field is unpopulated as the source APIs do not include this information for all records in the datasetmodified_dateThe date the record was last modified/updated in the source data, in UTC format (milliseconds)descriptionTextual description of the roadworkstreet_nameName of the road on which the work or closure is occurringside_streetHuman readable description of intersecting street nearest the start of the roadworks (could also be a motorway/freeway ramp)end_side_streetHuman readable description of intersecting street nearest the end of the roadworks (could also be a motorway/freeway ramp) – this field is unpopulated for all records in the dataset as the source APIs do not include this informationdirectionDirection/s of travel affected – this field is unpopulated for all records in the dataset as the source APIs do not include this informationstateThe state/territory which has provided the record via their source API. Note that this does not always align with the state/territory managing the road, or the state/territory in which the road is located.capture_dateThe date the record was first captured in the NFDH dataset, in UTC format (milliseconds)pointGeospatial location of roadwork – this field returns X and Y coordinates corresponding to longitude and latitude respectivelyDetailed descriptions of these attributes and the abbreviations and values used can be found herePoint of ContactOrganisation Name: Department of Infrastructure, Transport, Regional Development, Communications, Sport and the ArtsEmail address: freightdatahub@infrastructure.gov.auOnline Resource: National Freight Data Hub

Abstract The Catchment Scale Land Use of Australia – Update December 2023 dataset is the national compilation of catchment scale land use data available for Australia (CLUM), as of December 2023. It replaces the Catchment Scale Land Use of Australia – Update December 2020. It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. The CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies). Land use is classified according to the Australian Land Use and Management Classification version 8. It has been compiled from vector land use datasets collected as part of state and territory mapping programs and other authoritative sources, through the Australian Collaborative Land Use and Management Program. Catchment scale land use data was produced by combining land tenure and other types of land use information including, fine-scale satellite data, ancillary datasets, and information collected in the field. The date of mapping (2008 to 2023) and scale of mapping (1:5,000 to 1:250,000) vary, reflecting the source data, capture date and scale. Date and scale of mapping are provided in supporting datasets.

Currency Date modified: December 2023 Publication Date: June 2024 Modification frequency: As needed (approximately annual) Data Extent Coordinate reference: WGS84 / Mercator Auxiliary Sphere Spatial Extent North: -9.995 South: -44.005 East: 154.004 West: 112.505 Source information Data, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update 2023 Catchment Scale Land Use of Australia - Update 2023 – Descriptive metadata The data was obtained from Department of Agriculture, Fisheries and Forestry - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). ABARES is providing this data to the public under a Creative Commons Attribution 4.0 license. Lineage statement This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). 2023 updates include more current data and/or reclassification of existing data. The following areas have updated data since the December 2020 version:

New South Wales (2017 v1.5 from v1.2). Northern Territory (2022 from 2020). Tasmania (2021 from 2019). Victoria (2021 from 2017). Data were also added from the Great Barrier Reef Natural Resource Management (NRM) regions in Queensland (2021 from a variety of dates 2009 to 2017). the Australian Tree Crops. Australian Protected Cropping Structures and Queensland Soybean Crops maps as downloaded on 30 November 2023. The capital city of Adelaide was updated using 2021 mesh block information from the Australian Bureau of Statistics. Minor reclassifications were made for Western Australia and mining area within mining tenements more accurately delineated in South Australia.

Links to land use mapping datasets and metadata are available at the ACLUMP data download page at agriculture.gov.au. State and territory vector catchment scale land use data were produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field, as outlined in 'Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition' (ABARES 2011). The Northern Territory, Queensland, South Australia, Tasmania, Victoria and Western Australia were mapped to version 8 of the ALUM classification (‘The Australian Land Use and Management Classification Version 8’, ABARES 2016). The Australian Capital Territory was mapped to version 7 of the ALUM classification and converted to version 8 using a look-up table based on Appendix 1 of ABARES (2016). Purpose for which the material was obtained: This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). Do not use this data to:

Derive national statistics. The Land use of Australia data series should be used for this purpose. Calculate land use change. The Land use of Australia data series should be used for this purpose.

It is not possible to calculate land use change statistics between annual CLUM national compilations as not all regions are updated each year; land use mapping methodologies, precision, accuracy and source data and satellite imagery have improved over the years; and the land use classification has changed over time. It is only possible to calculate change when earlier land use datasets have been revised and corrected to ensure that changes detected are real change and not an artefact of the mapping process. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in October 2024 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster was created with RGB fields as a colour map with Geoprocessing tools in ArcPro. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in February 2025 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster dataset was created with RGB fields as a colour map with Geoprocessing tools in ArcPro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Data dictionary

Field name DField description Code values

OID Internal feature number that uniquely identifies each row Integer

Service Pixel value (Date) The year for which land use was mapped in the vector data provided by state and territory agencies or others, Date Range: 2008 to 2023 Integer

Count Count of the number of raster cells in each class of VALUE Integer

Label Reflecting the Date of the source data ranges from 2008 to 2023 Text

Contact Department of Agriculture, Fisheries and Forestry (ABARES), info.ABARES@aff.gov.au

Update August 2018 - frequency change to Company dataset

From 7 August 2018, the Company dataset will be updated weekly every Tuesday.

If you require information about Reserved Names the register can be searched via ASIC-Connect.

Dataset summary

ASIC is Australia’s corporate, markets and financial services regulator. ASIC contributes to Australia’s economic reputation and wellbeing by ensuring that Australia’s financial markets are fair and transparent, supported by confident and informed investors and consumers.

Australian companies are required to keep their details up to date on ASIC's Company Register. Information contained in the register is made available to the public to search via ASIC's website.

Select data from the ASIC's Company Register will be uploaded each month to www.data.gov.au. The data made available will be a snapshot of the register at a point in time. Legislation prescribes the type of information ASIC is allowed to disclose to the public.

The information included in the downloadable dataset is:

• Company Name
• Australian Company Number (ACN)
• Type
• Class
• Sub Class
• Status
• Date of Registration
• Previous State of Registration (where applicable)
• State Registration Number (where applicable)
• Modified since last report – flag to indicate if data has been modified since last report
• Current Name Indicator
• Australian Business Number (ABN)
• Current Name
• Current Name Start Date

Additional information about companies can be found via ASIC's website. Accessing some information may attract a fee.

More information about searching ASIC's registers.

This U.S. Geological Survey (USGS) data release provides the descriptions of the only U.S. sites—including mineral regions, mineral occurrences, and mine features—that have reported production and (or) resources of tantalum (Ta). The sites in this data release have contained resource and (or) past production of more than 900 metric tons Ta metal, which was the approximate average annual consumption of Ta in the U.S. from 2016 through 2020. This dataset contains the Bokan Mountain deposit in Alaska and the Round Top deposit in Texas. Tantalum primarily occurs in the mineral tantalite, which may be found in carbonatites, alkaline granite-syenite complexes, and lithium-cesium-tantalum (LCT) pegmatites. The largest Ta deposits can be found in Australia, where the Greenbushes and Wodgina Mines have been producing Ta from pegmatites since the late 1880s. The Greenbushes is an LCT pegmatite deposit that contains more than 135 million metric tons of ore with an average grade of 0.022 percent Ta2O5. The Wodgina LCT pegmatite deposit contains more than 85 million metric tons of ore at a grade of 0.032 percent Ta2O5 (Schulz and others, 2017). In comparison, the largest Ta deposit in the U.S. is the Round Top deposit in Texas, which has reported resources of more than 480 million metric tons with an average grade of 67.2 grams per metric ton Ta2O5 (Hulse and others, 2019). There are no current U.S. producers of Ta. Tantalum is necessary for strategic, consumer, and commercial applications. Tantalum is highly conductive to heat and electricity and known for its resistance to acidic corrosion, thereby making this metal an ideal component for electronic capacitors, telecommunications, data storage, and implantable medical devices. In 2020, the U.S. was 100 percent net import reliant on Ta from countries such as China, Germany, Australia, and others. Tantalum is imported to the U.S. as ore and concentrate, metal and powder, as well as waste and scrap (U.S. Geological Survey, 2021). The entries and descriptions in the database were derived from published papers, reports, data, and internet documents representing a variety of sources, including geologic and exploration studies described in State, Federal, and industry reports. Resources extracted from older sources might not be compliant with current rules and guidelines in minerals industry standards such as National Instrument 43-101 (NI 43-101). The presence of a Ta mineral deposit in this database is not meant to imply that the deposit is currently economic. Rather, these deposits were included to capture the characteristics of the largest Ta deposits in the United States. Inclusion of material in the database is for descriptive purposes only and does not imply endorsement by the U.S. Government. The authors welcome additional published information in order to continually update and refine this dataset. Hulse, D.E., Malhotra, D., Matthews, T., and Emanuel, C., 2019, NI 43-101 preliminary economic assessment Round Top project, Sierra Blanca, Texas, prepared for USA Rare Earth LLC and Texas Mineral Resources Corp. [Filing Date July 1, 2019]: Gustavson Associates, LLC, 218 p., accessed October 17, 2019, at http://usarareearth.com/. Schulz, K.J., Piatak, N.M., and Papp, J.F., 2017, Niobium and tantalum, chap. M of Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., Critical mineral resources of the United States—Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, p. M1–M34, https://doi.org/10.3133/pp1802M. U.S. Geological Survey, 2021, Mineral commodity summaries 2021: U.S. Geological Survey, 200 p., https://doi.org/10.3133/mcs2021.

The DSS Payment Demographic data set is made up of:

Selected DSS payment data by

• Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)

• Demographic: age, sex and Indigenous/non-Indigenous

• Duration on Payment (Working Age & Pensions)

• Duration on Income Support (Working Age, Carer payment & Disability Support Pension)

• Rate (Working Age & Pensions)

• Earnings (Working Age & Pensions)

• Age Pension assets data

• JobSeeker Payment and Youth Allowance (other) Principal Carers

• Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)

• Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)

• Disability Support Pension by medical condition

• Care Receiver by medical conditions

• Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.

From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment. The expanded report will replace the standard report after June 2023.

Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:

• A new contents page to assist users locate the information within the spreadsheet

• Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.

• Additional information on the Employment Earning by ‘Income Free Area’ tab.

From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change. The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.

Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.

Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

From December 2021, the following are included in the report:

• selected payments by work capacity, by various demographic breakdowns

• rental type and homeownership

• Family Tax Benefit recipients and children by payment type

• Commonwealth Rent Assistance by proportion eligible for the maximum rate

• an age breakdown for Age Pension recipients

For further information, please see the Glossary.

From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information.

From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.

From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:

• Statistical Area 2 - SA2

• Commonwealth Electoral Division - CED

• Local Government Area - LGA

Pre June 2014 Quarter Data contains:

Selected DSS payment data by

• Geography: state/territory; electorate; postcode and LGA

• Demographic: age, sex and Indigenous/non-Indigenous

Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment

For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below:

• Statistical Paper series

Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.

28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.

Data provided are the scale of polygonal datasources used to generate the polygon derived surfaces for the intensive agricultural areas of Australia. Data modelled from area based observations made by State soil agencies.The final ASRIS polygon attributed surfaces are a mosaic of all of the data obtained from various state and federal agencies. The surfaces have been constructed with the best available soil survey information available at the time. The surfaces also rely on a number of assumptions. One being that an area weighted mean is a good estimate of the soil attributes for that polygon or mapunit. Another assumption made is that the lookup tables provided by McKenzie et al. (2000), state and territories accurately depict the soil attribute values for each soil type.The accuracy of the maps is most dependent on the scale of the original polygon data sets and the level of soil survey that has taken place in each state. The scale of the various soil maps used in deriving this map is available by accessing darasource grid, the scale is used as an assessment of the likely accuracy of the modelling.The Atlas of Australian Soils is considered to be the least accurate dataset and has therefore only been used where there is no state based data.Of the state datasets Western Australian sub-systems, South Australian land systems and NSW soil landscapes and reconnaissance mapping would be the most reliable based on scale. NSW soil landscapes and reconnaissance mapping however, may be less accurate than South Australia and Western Australia as only one dominant soil type per polygon was used in the estimation of attributes, compared to several soil types per polygon or mapunit in South Australia and Western Australia. NSW soil landscapes and reconnaissance mapping as the name suggests is reconnaissance level only with no laboratory data. The digital map data is provided in geographical coordinates based on the World Geodetic System 1984 (WGS84) datum.

See further metadat for more detail.

Rental is Australia’s emerging tenure. Each year the proportion of Australians who rent increases, many of us will rent for life, and for the first time in generations there are now more renters than home owners. Though the rental sector is home to almost one-third of all Australians, researchers and policy-makers know little about conditions in this growing market because there is currently no systematic or reliable data. This project provides researchers and policy stakeholders with an essential database on Australia’s rental housing conditions. This data infrastructure will provide the knowledge base for national and international research and allow better urban, economic and social policy development. Building on The 2016 Australian Housing Conditions Dataset, in 2020 we collected data on the housing conditions of 15,000 rental households, covering all Australian states and territories. The project is funded by the Australian Research Council and The University of Adelaide, in partnership with the University of South Australia, the University of Melbourne, Swinburne University of Technology, Curtin University and Western Sydney University and is led by Professor Emma Baker at the University of Adelaide. The Australian Housing and Urban Research Institute provided funding for the focussed COVID-19 Module.

AbstractThis national harmonised dataset uses daily updates from State and Territory roadworks endpoints (APIs) to build a nationally consistent, harmonised historic database of roadworks and road closures over time across all of Australia. Daily updates from state/territory roadworks systems are queried to compile a set of historical roadworks for all of Australia. The geospatial coverage of the dataset is all state-managed roads in Australia. Most jurisdictions include planned and unplanned works and closures, however data for Tasmania currently includes planned roadworks only. The data commences from 2016 - some earlier records are present but the dates do not appear to be accurate.This dataset could be used to understand (and potentially predict and manage) road damage and road closures and improve resilience in the context of natural disasters or disruptions.The API User Guide describes how the jurisdictions" data is combined and how to use the service for your application.CurrencyDate modified: TodayModification frequency: DailyData extentSpatial extentNorth: -10°South: -43°East: 154°West: 111°Temporal extentFrom 2016 to PresentSource informationThis dataset is provided by the Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts (DITRDSCA).Map ServerMetadataPublic listingLineage statementThe Harmonised National Roadworks and Road Closures dataset uses daily updates from state/territory roadworks systems to compile a set of historical roadworks for all of Australia. The geospatial coverage of the dataset is all state-managed roads in Australia. Most jurisdictions include planned and unplanned works and closures, however data for Tasmania currently includes planned roadworks only. The data commences from 2016 - some earlier records are present but the dates do not appear to be accurate.Each state/territory uses a different set of roadwork "types" to classify the works. The harmonisation process groups like types into a set of categories which are consistent across all jurisdictions, for reporting and visualisation purposes. Where the data indicates the road is closed (via text description), a category of Road Closure is applied, irrespective of the state/territory "type".Data dictionaryAll layersAttribute nameDescriptionidUnique identifier of the record in NFDH’s ArcGIS databaseunique_identifierUnique identifier provided by the source agencycategoryThe category of road event the record relates to, determined by the NFDH. The categories in the dataset are Event, Hazard, Other, Other Works, Road Closure, Road ConditionstypeClassification of the type of roadwork, provided by the source agency. Each of the types provided by the states/territories are mapped to a ‘category’ to standardise the data. This field is included for the user’s information only and is not harmonised. It is not consistently applied between jurisdictionsfrom_dateDate and time the roadwork starts, in UTC format (milliseconds)to_dateDate and time the roadwork ends, in UTC format (milliseconds)planned_start_dateDate and time the roadwork is planned to start – this field is unpopulated for all records in the dataset as the source APIs do not include this informationplanned_end_dateDate and time the roadwork is planned to end – this field is unpopulated as the source APIs do not include this information for all records in the datasetmodified_dateThe date the record was last modified/updated in the source data, in UTC format (milliseconds)descriptionTextual description of the roadworkstreet_nameName of the road on which the work or closure is occurringside_streetHuman readable description of intersecting street nearest the start of the roadworks (could also be a motorway/freeway ramp)end_side_streetHuman readable description of intersecting street nearest the end of the roadworks (could also be a motorway/freeway ramp) – this field is unpopulated for all records in the dataset as the source APIs do not include this informationdirectionDirection/s of travel affected – this field is unpopulated for all records in the dataset as the source APIs do not include this informationstateThe state/territory which has provided the record via their source API. Note that this does not always align with the state/territory managing the road, or the state/territory in which the road is located.capture_dateThe date the record was first captured in the NFDH dataset, in UTC format (milliseconds)pointGeospatial location of roadwork – this field returns X and Y coordinates corresponding to longitude and latitude respectivelyDetailed descriptions of these attributes and the abbreviations and values used can be found hereContactDepartment of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts, freightdatahub@infrastructure.gov.au

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from the Interim Biogeographic Regionalisation for Australia (IBRA), Version 7 (Regions) datasets. You can find a link to the parent dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

Clips and extracts of the IBRAv7 regions and subregions datasets which intersect the Hunter subregion

Interim Biogeographic Regionalisation for Australia (IBRA) version 7.0 represents a landscape based approach to classifying the land surface of Australia. 89 biogeographic regions and 419 sub regions have been delineated, each reflecting a unifying set of major environmental influences which shape the occurrence of flora and fauna and their interaction with the physical environment across Australia and its external territories (excluding Antarctica). IBRA Version 7.0 data consists of two datasets. IBRA bioregions, which is a larger scale regional classification of homogenous ecosystems, and sub regions, which are more localised. IBRA Version 7.0 is the result of both significant changes to certain IBRA 6.1 boundaries, plus refinement of other boundaries due to better data availability amongst some states and territories, and alterations by the states/territories along state borders. The updated boundaries were jointly defined by the Commonwealth, State and Territory nature and conservation agencies. In this respect refinements were carried out to all mainland jurisdictions with significant changes in Queensland and South Australia. In addition the dataset was also updated to more closely conform to the Geoscience Australia 1:100K State borders, and a standard coding/naming convention introduced (for both regions and sub-regions) resulting in differences to both names and codes used in earlier IBRA Versions.

Various sources were used to delineate islands - these included the GA100K Admin layer plus the Australian Maritime Boundaries dataset, a Coral Sea dataset (held in ERIN) and the GA Commonwealth Fisheries 2006 dataset.

Dataset History

Clips and extracts of the IBRAv7 regions and subregions datasets which intersect the Hunter subregion

States and Territories provided the base data for inclusion in IBRA Version 7 Auricht Projects then undertook spatial refinements of the boundaries to ensure that edgematching of boundaries were to the state borders and coastline. The Geoscience Australia 1:100,000 dataset was used to maintain this standard. Draft outputs were provided to State/Territory Agencies for cross-checking. Final checking of topology was undertaken by the Australian Government Department of Sustainability, Environment, Water, Population and Communities.

Dataset Citation

Bioregional Assessment Programme (2013) Hunter bioregion (IBRA Version 7). Bioregional Assessment Derived Dataset. Viewed 28 August 2018, http://data.bioregionalassessments.gov.au/dataset/e73c01b3-c5ef-4fea-8402-2b816d7533b5.

Dataset Ancestors

• Derived From Interim Biogeographic Regionalisation for Australia (IBRA), Version 7 (Regions)

Abstract Web Service for the Collaborative Australian Protected Areas Database (CAPAD) 2024. CAPAD provides both spatial and textual information about government, Indigenous and privately protected areas for Australia, in both the marine and terrestrial environments. This dataset is the marine component of the CAPAD only. Marine CAPAD provides information about off-shore protected areas in both state and Commonwealth waters. State and Territory conservation agencies supplied data current to 30 June 2024. This is the ninth version of the marine database, with previous versions released in 1997, 2002, 2004, 2008, 2010, 2012, 2014, 2016, 2018, 2020 and 2022. The Department also publishes protected areas data for the terrestrial environment. The terrestrial component of the database has been previously released in 1997, 2000, 2002, 2004, 2006, 2008 2010, 2012, 2014, 2016, 2018, 2020 and 2022. CAPAD provides a snapshot of protected areas that meet the IUCN definition of a protected area: "A protected area is a clearly defined geographical space, recognised, dedicated and managed, through legal or other effective means, to achieve the long term conservation of nature with associated ecosystem services and cultural values." (IUCN Definition 2008). The department publishes a summary of the CAPAD data biennially on its website http://www.environment.gov.au/capad/. Currency Date modified: 30 June 2024 Modification frequency: Every 2 years Data extent Spatial extent North: -8.881893° South: -58.449470° East: 170.366667° West: 70.717024° Source information This dataset is provided by the Department of Climate Change, Energy, the Environment and Water

Map Server Metadata Public listing

Lineage statement Data is sourced from state and territory conservation agencies, aggregated by DEECW. Data dictionary All layers

Attribute name Description

Name The official (gazetted) name of a protected area.

AUTHORITY The CODE for the authority that manages the Protected Area.

COMMENTS Extra information jurisdictions elect to supply.

DATASOURCE The CODE for the agency which supplied the Protected Area data.

Environ The code denotes the environment type conserved in the protected area as described by the data custodian.

EPBC This identifies if the reserve can be considered under the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act).

GAZ_AREA Area in hectares as described in the nomination document (e.g. parliamentary gazettal), to the nearest hectare.

GAZ_DATE Gazettal date of the original proclamation that established any form of protected area.

GOVERNANCE The CODE for the type of governance which has management and decision making responsibility.

IUCN the IUCN protected area management category ascribed by the managing authority.

LATEST_GAZ The date of the most recent gazettal or proclamation to amend the protected area.

LATITUDE Latitude coordinate of polygon centroid in decimal degrees, derived by DAWE from Geographics projected dataset.

LONGITUDE Longitude coordinate of polygon centroid in decimal degrees, derived by DAWE from Geographics projected dataset.

MGT_PLAN The CODE for the status of the management plan for the protected area.

NRS_MPA This attribute indicates the status of the protected area in terms of meeting the standard for inclusion in the NRSMPA.

PA_ID A unique three digit code for the protected area that should persist between versions of CAPAD.

PA_PID A unique code for a parcel or zone within a protected area that should persist between versions of CAPAD.

RES_NUMBER The reserve number (if declared) as used by the controlling authority.

State The CODE for the State or Territory in which the Protected Area is located.

TYPE The type of protected area according to the establishment mechanism.

TYPE_ABBR The abbreviation of the protected area TYPE.

ZONE_TYPE This is a concatenation of the ZONE (usually found in the COMMENTS field) and IUCN categories – for use when mapping the reserves.

Detailed descriptions of these attributes and the abbreviations and values used can be found here Contact Department of Climate Change, Energy, the Environment and Water, GeoSpatial@dcceew.gov.au

Data set for "Paleoenvironmental models for Australia and the impact of aridification on blindsnake diversification" --- These data sets were used to perform analyses included in the research paper "Paleoenvironmental models for Australia and the impact of aridification on blindsnake diversification." Main aims for the project: 1. Estimate the historical biogeography of Australian blindsnakes using 'BioGeoBEARS.' 2. Fit birth-death models and estimate diversification rates under different paleoenvironmental conditions using 'RPANDA.' 3. Compare diversification rates between arid-adapted and mesic-adapted lineages using 'ClaDS' and 'hisse.' ## Data and file structure /2021_ALA_blindsnake_occurence_data/ -- this folder should be replaced with the 2021_ALA_blindsnake_occurence_data.zip on Zenodo (https://doi.org/10.5281/zenodo.7571419) * Data from ALA can be downloaded at https://doi.org/10.26197/ala.d92678b1-ad2d-437b-9457-9f52737ba003 /bears_txt/ -- this folder contains .txt files necessary for fitting biogeographical models in' BioGeoBEARS' * geofile.txt - geographic range for each species * biome_distance.txt - modify distance for +x analysis /intermediate_data/bears/ -- files in this folder are generated from code * blindsnake_b.tre - phylogeny for fitting BioGeoBEARS models. /intermediate_data/diversification_analyses/ -- file for 'RPANDA' analyses * blindsnake.trees - contains two versions of Anilios trees. /intermediate_data/geohisse/ * 2022_species_list_arid_nonarid_widespread.csv - includes information about which species are in the phylogeny to calculate fraction. * arid_nonarid_both_states.csv - list of lineages and their geographic state. 0 = widespread, 1 = arid, and 2 = mesic. Designation of geographic states were based on distribution data and literature review. * arid_nonarid_both_states.txt - .txt version of the previous file /paleo_env -- this folder contains the reconstructed paleoenvironment data from three data sources as described in the paper. * Australia_climate_data_45Mya_Scotese.csv - reconstructed from Scotese & Wright, (2018) * Australia_climate_data_45Mya_Straume.csv - reconstructed from Straume et al., (2020) * Australia_climate_data_45Mya_Valdes.csv - reconstructed from Valdes et al., (2021) * Australia_climate_data_70Mya_Scotese.csv - reconstructed from Scotese & Wright, (2018) * Australia_climate_data_65Mya_Straume.csv - reconstructed from Straume et al., (2021) * climate_data_headers.txt - expalanation of climate data headers /tree/ -- this folder contains the subset of phylogenies for Anilios. * anilios_newick_b.tre - tree with A. splendidus * anilios_newick_st.tre - tree with A. splendidus * subset_anilios_newick_b.tre - tree without A. splendidus * subset_anilios_newick_st.tre - tree without A. splendidus ## Other information Zenodo repository for "Data set: Australia's hidden radiation - phylogenomic analysis reveals rapid Miocene radiation of blindsnakes" * Anilios phylogeny can be found at ## Code/Software All scripts can be run using open source software. * R is required to run R scripts (.R). * Julia is required to run Julia scripts (.jl). /Code * 00_*.R - scripts are used for preparing data for analyses * 01_fit_*.R - scripts were used to fit various RPANDA models. Note difference in initial lambda parameters for some models. * 01_env_data_plots.R - script to plot different paleoenvironmental data * 02_diversification_plots_b.R - script for plotting results * 02_diversification_plots_b.R - script for plotting results * 02_table_fit_env_results_b.R - script to summarise model fit * 03_BioGeoBEARS_analyses_parallel.R - script for fitting multiple BioGeoBEARS models * 04_BioGeoBEARS_results_bsm.R - Conduct Biogeographic Stochastic Mapping for the best fitting model * 04_BioGeoBEARS_results_plots.R - plotting Biogeographic Stochastic Mapping from the best fitting model * 04_BioGeoBEARS_results_tables.R - Biogeographic Stochastic Mapping result table from the best fitting model * 05_GeoHiSSE_fit.R - fit GeoSSE and GeoHiSSE using 'hisse' package. * 06_ClaDS2.jl - Julia script to estimate branch-specific rate under ClaDS * 06_ClaDS_plot_tips.R - plot results from ClaDS ## Contact Should you have questions about these analysis scripts, please do not hesitate to contact Sarin Tiatragul (contact information can be found in the paper) or on Github (https://github.com/stiatragul) Aim: Shifts in diversification rates of Australian flora and fauna have been associated with aridification, but the relationship between diversification rates and aridity has never been quantified. We employed multiple approaches to accurately reconstruct paleoenvironments of Austral...

Please zoom in to a town or local area for data to display.Abstract The Historical Bushfire Boundaries Dataset (version 2) represents the aggregation of jurisdictional supplied burnt areas polygons that date from the early 1900s through to 2023 (excluding the Northern Territory). The burnt areas represent curated jurisdictional owned polygons of bushfires and prescribed (planned) burns. This dataset was produced under Work Stream 1C - Activity 3 of the National Bushfire Intelligence Capability (NBIC) , a collaborative partnership between:

Australian Climate Service CSIRO (NBIC) Geoscience Australia Emergency Management Spatial Information Network (EMSINA)

Under agreement this Project (Activity 3) will release a nationally consistent, harmonised and standardised historical bushfire boundary dataset derived from the authoritative state and territory agencies in both 2023 (this dataset) and again in November 2024.
The information released within this dataset is reflective of the data supplied by participating authoritative agencies. It may, or may not, represent all fire history within that jurisdiction. Geoscience Australia's role within this project is to:

negotiate access to the state/territory historic bushfire boundary datasets aggregate, harmonise and standardise the jurisdictional data against the Australasian Fire Authorities Council (AFAC) National Bushfire Boundary Standards host the completed spatial product(s) arrange for the 'Historical Bushfire Boundaries' spatial dataset to be accessible through Geoscience Australia’s external data catalogues and through the new Digital Atlas of Australia platform ensure stakeholders have access to regular project updates.

To harmonsise and standardise this dataset Geoscience Australia have utilised the AFAC endorsed data dictionary for fire history. This data dictionary and the definitions provided allowed Geoscience Australia to map common attributes from both sources. Unfortunately, not all attributes mapped across like-for-like. This resulted in Geoscience Australia either modifying or joining some of the jurisdictional attributes to fit or Geoscience Australia added them during the processing stage. Currency Date created: 03 March 2023 Date modified: November 2023 Next modification date: November 2024 Spatial Extent

West Bounding Longitude: 112° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -9°

Source Information Catalog entry: Bushfire Boundaries – Historical Lineage Statement This dataset extends upon the first version of this dataset to be built and released under the Australia Research Data Commons Project in early 2023.
This dataset (version 2) represents an updated aggregation of each jurisdiction (except the Northern Territory) fire history data to include information from the 2022-23 bushfire season.
Agencies that have provided data include:

Australian Capital Territory Parks and Conservation
New South Wales Parks and Wildlife Service Queensland Parks and Wildlife Service South Australia Department of Environment, Water and Natural Resources Tasmania Department of Natural Resources and Environment Victorian Department of Environment, Land, Water and Planning Western Australia Department of Fire and Emergency Services

The Northern Territory Government is progressing in the development of their Bushfire Boundary Capabilities. Work is underway with the relevant agencies to incorporate Northern Territory Government approved Historical Bushfire Boundary data in the future.
Product standardisation: The data provided by each jurisdiction is standardised and harmonised. This process maps the existing state/territory attributes to the National Data Schema that was agreed to and endorsed by the participating state agencies and the Australian Fire and Emergency Services Authorities Council. The Digital Atlas of Australia data team published an optimised Bushfire Boundaries Historic dataset designed to perform efficiently in either a desktop application or a web service.
This process utilised FME to reduce the processing time on millions of vertices within the complex dataset:

Dataset projected to epsg:4326 to align with the near real time services hosted on the Digital Atlas of Australia Removes island or donut polygons within a fire extent, therefore a fire extent is shown with an outline and no internal parts Create separate polygon chunks based on 10000 vertices while maintaining the same attributes for each chunk of the identified fire, if a fire consists of multiple polygons each polygon is counted separately within the identified fire

As a result the Bushfire Boundaries Historic dataset hosted in the Digital Atlas of Australia has more records than the original dataset. Data Dictionary All Layers

Attribute Name Description

fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

fire_name Incident name. If available.

fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

agency Agency that is responsible for the incident

date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

Fire Type definitions

Data Source Category Description

Bushfire Unplanned vegetation fire. A generic term which includes grass fires, forest fires and scrub fires both with and without a suppression objective. Also known as wildfire, accident, arson, lightning.

Prescribed Burn The controlled application of fire under specified environmental conditions to a predetermined area and at the time, intensity, and rate of spread required to attain planned resource management objectives. Also known as planned burning, fuel reduction, traditional owner, ecological, hazard reduction

Unknown Fire type is undetermined.

Ignition Cause definitions

Data Source Category Description

Accidental Fires that are not the result of a deliberate (intentional) act.

Natural Fires that ignite without human intervention.

Incendiary Fires result from deliberate acts, intentional actions, or circumstances for the fire to occur in areas where it should not have occurred.

Undetermined Fires that have not yet been investigated, under investigation or fires that have been investigated and the cause is not proven to an acceptable level of certainty.

Capture Method definitions

Data Source Category Description

Aerial photography Derived from Aerial photography including manual interpretation as well as partially automated and fully automated methods.

Linescanner Mapped against airborne sensor systems.

Ground intelligence Mud map from ground observation.

Ground intelligence GPS Fire boundary derived from ground (e.g. GPS tracker, Avenza).

Air intelligence Mud map from air observation.

Air intelligence GPS Fire boundary derived from air (e.g. helicopter, spotter).

Himawari Derived from geostationary satellite Himawari and includes manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 2 kilometres).

NOAA AVHRR Derived from Low Resolution - NOAA AVHRR satellite including manual interpretation, partially automated and fully automated methods (spatial accuracy ± 1 kilometres).

MODIS Derived from Low Resolution - MODIS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 250 metres).

VIIRS Derived from Low Resolution - VIIRS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 375 metres).

Landsat Derived from Medium Resolution - Landsat satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 30 metres).

Sentinel Derived from Medium Resolution - Sentinel satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 10 - 20 metres).

Multiple Derived from multiple sources e.g. combination of ground intel and linescanner. For detailed information contact agency or state responsible.

Unknown Data Source is unknown.

Contact Geoscience Australia, clientservices@ga.gov.au