SILO is a Queensland Government database containing continuous daily climate data for Australia from 1889 to present, in a number of ready-to-use formats, suitable for modelling and research applications. The SILO database contains two major classes of data: point (station) time series and spatial grids, both based on observed data from the Bureau of Meteorology ADAM (Australian Data Archive for Meteorology) database. For point data, interpolated or derived values are used where observations are missing. Gridded data are spatially interpolated from observations.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Superseded by HUN AssetList v1.3 20150212 (GUID: dcf8349e-aaed-4d30-80ab-1c8cbad8fe68) on 2/12/2015

This dataset contains the spatial and non-spatial (attribute) components of the Hunter subregion Asset List as an .mdb file, which is readable as an MS Access database or as an ESRI Personal Geodatabase.

Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. A report on the WAIT process for the Hunter is included in the zip file as part of this dataset.

Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Hunter subregion are found in the "AssetList" table of the database.

Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "AnR_database_HUN_v1p2_20150128.doc", located in the zip file as part of this dataset.

The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.

Detailed information describing the database structure and content can be found in the document "AnR_database_HUN_v1p2_20150128.doc" located in the zip file.

Some of the source data used in the compilation of this dataset is restricted.

Purpose

The Asset List Database was developed to identify water dependent assets located within the Hunter subregion.

Dataset History

Superseded by HUN AssetList v1.3 20150212 (GUID: dcf8349e-aaed-4d30-80ab-1c8cbad8fe68) on 2/12/2015*****

This dataset is an update of the previous version of the Hunter asset list database: "Asset list for Hunter - CURRENT"; ID: 51b1e021-2958-4cd3-8daa-ba46ece09d1c, which was updated with the inclusion of data from NSW Department of Primary Industries - Office of Water: HIGH PROBABILITY GROUNDWATER DEPENDENT VEGETATION WITH HIGH ECOLOGICAL VALUE (Hunter-Central Rivers).

Dataset Citation

Bioregional Assessment Programme (2015) HUN AssetList Database v1p2 20150128. Bioregional Assessment Derived Dataset. Viewed 09 October 2018, http://data.bioregionalassessments.gov.au/dataset/64ecd565-bb7c-4f21-951e-f35966b91c99.

Dataset Ancestors

• Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From Hunter CMA GDEs (DRAFT DPI pre-release)

• Derived From NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516

• Derived From NSW Office of Water Surface Water Offtakes - Hunter v1 24102013

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Asset list for Hunter - CURRENT

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Ramsar Wetlands of Australia

• Derived From Commonwealth Heritage List Spatial Database (CHL)

• Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514

• Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324

• Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions

• Derived From Australia World Heritage Areas

• Derived From NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014

• Derived From Groundwater Economic Elements Hunter NSW 20150520 PersRem v02

• Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public)

• Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases

• Derived From Operating Mines OZMIN Geoscience Australia 20150201

• Derived From NSW Office of Water - National Groundwater Information System 20141101v02

• Derived From Groundwater Economic Assets Hunter NSW 20150331 PersRem

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514

• Derived From Northern Rivers CMA GDEs (DRAFT DPI pre-release)

• Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal

• Derived From NSW Office of Water Groundwater Entitlements Spatial Locations

• Derived From NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013

• Derived From NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

The Australian Government general government sector Monthly Financial Statements are officially available from July to May for each month at www.finance.gov.au.

This dataset provides an historical series of a collection of published Australian Government general government sector monthly financial statements from 2005-06, including the:

• Aggregates tables

• Operating Statement

• Balance Sheet

• Cash Flow Statement

• Taxation tables

• Function tables

Monthly Financial Statements are not published for the month of June. These figures can be sourced from the Final Budget Outcome (www.budget.gov.au) or the Consolidated Financial Statements (www.finance.gov.au).

The Historical Monthly Financial Statements series is provided to assist those who wish to analyse, visualise and programmatically access this data.

The Australian Government Monthly Financial Statements are prepared on a basis consistent with the Budget as required under section 47 of the Public Governance, Performance and Accountability Act 2013 (formerly section 54 of the Financial Management and Accountability Act 1997).

Since 2008-09 the statements have been prepared in accordance with Australian Accounting Standard AASB 1049 – Whole of Government and General Government Sector Financial Reporting, which requires accounting treatment based on the Australian Bureau of Statistics’ (ABS) Government Finance Statistics (GFS) except where Australian Accounting Standards (AAS) provide a better conceptual treatment for specific items. Departures are limited to complying with either ABS GFS or AAS. The change in 2008-09 represented a significant change in the format and content of the monthly financial statements.

The Monthly Financial Statements estimates dataset is based solely upon the published monthly profiles. Where no year-to-date profile was published the year-to-date actual figure has been used in its place.

Please note that this dataset represents published information and will not be recast. Figures may not be directly comparable over time due to changes of classification, accounting standards or budget treatments.

This data is released by the Department of Finance.

The Department of the Environment, Water, Heritage and the Arts maintains the Australian Wetlands Database with information from State and Territory conservation agencies. This provides online access to the most recent information on Australia's Ramsar sites and Directory wetlands, our internationally and nationally important wetlands respectively.

Information and spatial data for Australia's Ramsar sites are supplied by State and Territory conservation departments. The reports generated from the database follow the categories of the Ramsar Information Sheet (RIS), which document the character and values of each Ramsar site. The latest RIS updates are included.

The Directory is compiled with the cooperation of conservation agencies and other resource managers in all jurisdictions. It is a valuable tool for managers and others interested in Australia's important wetlands. The database holds descriptions of more than 850 Directory wetlands, including those listed since publication of the third edition in 2001. Users should note that there are gaps in the knowledge of some sites and some fields may be blank. Inventory is ongoing and many wetlands remain to be assessed or recognised as internationally or nationally important.

Wetlands data have been received from:

* Environment ACT - ACT references
* NSW Department of Conservation and Environment - NSW references
* NT Department of Infrastructure Planning and Environment - NT references
* Qld Environmental Protection Agency - Qld references
* SA Department of Environment and Heritage - SA references
* Tas Department of Primary Industries, Water and the Environment - Tas references
* Vic Department of Sustainability and Environment - Vic references
* WA Department of Conservation and Land Management - WA references

This report of temporary entrants in Australia, also known as stock data, provide a quarterly snapshot of all temporary entrants and New Zealand citizens present in Australia at a particular date. This report will temporarily be updated on a monthly basis to provide the previous month.

It is important to note that the information used in this report comes from a new data source. Figures have been revised and may differ slightly from those previously reported.

Abstract

\[x\[This dataset was superseded by GIP AssetList Database v1.3 20150212

GUID: e0a8bc96-e97b-44d4-858e-abbb06ddd87f

on 12/2/2015\]x\]

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset contains the spatial and non-spatial (attribute) components of the Gippsland bioregion Asset List as two .mdb files, which are readable as an MS Access database or as an ESRI Personal Geodatabase.

Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. All reports received associated with the WAIT process for Gippsland are included in the zip file as part of this dataset.

Elements are initially included in the preliminary assets database if they are partly or wholly within the bioregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Gippsland bioregion are found in the "AssetList" table of the database. In this version of the database only M1 has been assessed.

Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "AssetList_database_GIP_v1p2_20150130.doc", located in the zip file as part of this dataset.

The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.

Detailed information describing the database structure and content can be found in the document "AssetList_database_GIP_v1p2_20150130.doc" located in the zip file.

Some of the source data used in the compilation of this dataset is restricted.

Purpose

\[x\[\\\\\THIS IS NOT THE CURRENT ASSET LIST\\\\\

This dataset was superseded by GIP AssetList Database v1.3 20150212

GUID: e0a8bc96-e97b-44d4-858e-abbb06ddd87f

on 12/2/2015

THIS DATASET IS NOT TO BE PUBLISHED IN ITS CURRENT FORM\]x\]

Dataset History

This dataset is an update of the previous version of the Gippsland asset list database: "Gippsland Asset List V1 20141210"; ID: 112883f7-1440-4912-8fc3-1daf63e802cb, which was updated with the inclusion of a number of additional datasets from the Victorian Department of the Environment and Primary Industries as identified in the "linkages" section and below.

Victorian Farm Dam Boundaries

https://data.bioregionalassessments.gov.au/datastore/dataset/311a47f9-206d-4601-aa7d-6739cfc06d61

Flood Extent 100 year extent West Gippsland Catchment Management Authority GIP v140701

https://data.bioregionalassessments.gov.au/dataset/2ff06a4f-fdd5-4a34-b29a-a49416e94f15

Irrigation District Department of Environment and Primary Industries GIP

https://data.bioregionalassessments.gov.au/datastore/dataset/880d9042-abe7-4669-be3a-e0fbe096b66a

Landscape priority areas (West)

West Gippsland Regional Catchment Strategy Landscape Priorities WGCMA GIP 201205

https://data.bioregionalassessments.gov.au/datastore/dataset/6c8c0a81-ba76-4a8a-b11a-1c943e744f00

Plantation Forests Public Land Management(PLM25) DEPI GIP 201410

https://data.bioregionalassessments.gov.au/datastore/dataset/495d0e4e-e8cd-4051-9623-98c03a4ecded

and additional data identifying "Vulnerable" species from the datasets:

Victorian Biodiversity Atlas flora - 1 minute grid summary

https://data.bioregionalassessments.gov.au/datastore/dataset/d40ac83b-f260-4c0b-841d-b639534a7b63

Victorian Biodiversity Atlas fauna - 1 minute grid summary

https://data.bioregionalassessments.gov.au/datastore/dataset/516f9eb1-ea59-46f7-84b1-90a113d6633d

A number of restricted datasets were used to compile this database. These are listed in the accompanying documentation and below:

• The Collaborative Australian Protected Areas Database (CAPAD) 2010

• Environmental Assets Database (Commonwealth Environmental Water Holder)

• Key Environmental Assets of the Murray-Darling Basin

• Communities of National Environmental Significance Database

• Species of National Environmental Significance

• Ramsar Wetlands of Australia 2011

Dataset Citation

Bioregional Assessment Programme (2015) GIP AssetList Database v1.2 20150130. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/6f34129d-50a3-48f7-996c-7a6c9fa8a76a.

Dataset Ancestors

• Derived From Flood Extent 100 year extent West Gippsland Catchment Management Authority GIP v140701

• Derived From Surface Water Economic Entitlements GIP 20141219

• Derived From West Gippsland Regional Catchment Strategy Landscape Priorities WGCMA GIP 20121205

• Derived From Irrigation District Department of Environment and Primary Industries GIP

• Derived From Surface Water and Groundwater Entitlement Data with Volumes - DEPI Regs Cat6 Victoria 20141218

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From Victorian Water Supply Protection Areas

• Derived From National Groundwater Information System (NGIS) v1.1

• Derived From Birds Australia - Important Bird Areas (IBA) 2009

• Derived From Southern Rural Water SW Locations with BOM Regulations Category 6 Volumes Gippsland 20150430

• Derived From Gippsland Project boundary

• Derived From Victorian Groundwater Management Areas

• Derived From Plantation Forests Public Land Management(PLM25) DEPI GIP 201410

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)

• Derived From Surface Water Entitlement Locations Gippsland Southern Rural Water 20141218

• Derived From Ramsar Wetlands of Australia

• Derived From National Groundwater Information System Victorian Extract (2014-03-21)

• Derived From GEODATA TOPO 250K Series 3

• Derived From Groundwater Licences Entitlement Volume To Bores Vic DEPI 20141021

• Derived From Groundwater Economic Elements Gippsland 20141120

• Derived From Commonwealth Heritage List Spatial Database (CHL)

• Derived From Potential Groundwater Dependent Ecosystems for West Gippsland Catchment Management Authority

• Derived From Victorian Biodiversity Atlas flora - 1 minute grid summary

• Derived From Unreg surface water licences DELWP Gippsland 20150301

• Derived From National Heritage List Spatial Database (NHL) (v2.1)

• Derived From Gippsland Basin bioregion Asset List v01 - 20141210

• Derived From Victorian Farm Dam Boundaries

• Derived From Gippsland Basin bioregion Preliminary Assessment Extent (PAE)

• Derived From [Victoria Regional CMA - Water Asset Information Tool - WAIT

Australia Data Center Storage Market Report Segments the Industry Into Storage Technology (Network Attached Storage (NAS), Storage Area Network (SAN) and More), Storage Type (Traditional Storage, and More), Data Center Type (Colocation Facilities and More), Form Factor(Rack-Mounted and More), Interface(sas / SATA, and More)and End User (IT & Telecommunication, and More). The Market Forecasts are Provided in Terms of Value (USD).

The State Register of Heritage Places recognises a place's value and importance to Western Australia. It includes buildings, structures, gardens, cemeteries, landscapes and archaeological sites and has more than 1,300 places listed in it. The State Register is managed by the Heritage Council and provides a place with statutory protection to ensure that any proposed demolition, relocation, subdivision, amalgamation, alteration, addition or new development is in harmony with its cultural heritage values. The State Register continues to expand, as significant places yet to be registered are progressively assessed by the Council. For more information contact the Department of Planning, Lands and Heritage on (08) 6551 8002 or see https://www.wa.gov.au/organisation/department-of-planning-lands-and-heritage.

The database contains geographical and physical information about all the Australian open coast beaches, as well as some of the larger bays around the coastline. The database is complete for over 11,000 beaches around Australia. The survey data collected includes: number of beaches, beach location, zoning, beach type/rating, roads/town, beach geomorphology, beach morphodynamics, access/facilities, barrier/drainage key, maps and air photos and beach sediment.

Sediment samples (~4000) of both beach and dune sands were also collected during the development of the database. This data resides with Geoscience Australia in Canberra.

Summary details for each election year for the House of Representatives elections since 1901. This data includes electoral system characteristics, seats in chamber, number of enrolled voters, ballots cast, rate of voter turnout and rate of informal voting for South Australia.

This API accesses data from QLD Government's WildNet database that has been approved for public release. There are a number of functions that retrieve information for species, taxonomy, species lists and reference codes.

The API returns the information available in the WildNet Application

If you are establishing a long-term connection to the API, please email WildNet@detsi.qld.gov.au to be added to the API users email list. This list will be notified when major changes are made to the API.

WildNet information can also be accessed through:

Biomaps provides a map interface to display the WildNet records approved for publication with other spatial layers (such as cadastre, protected areas, vegetation and biodiversity value mapping). A range of WildNet species list reports based on all WildNet records and other environmental reports can be requested for properties and drawn areas etc.

WetlandMaps provides a map interface to display WildNet records approved for publication with other spatial layers (such as wetland mapping).

The Queensland Globe provides a map interface to display WildNet records approved for publication with other spatial layers and themes.

Other WildNet products are made available via the Queensland Government Open Data Portal.

Australia Imports: fob: Advanced Economies: New Zealand data was reported at 4.953 USD bn in 2024. This records an increase from the previous number of 4.942 USD bn for 2023. Australia Imports: fob: Advanced Economies: New Zealand data is updated yearly, averaging 956.445 USD mn from Dec 1948 (Median) to 2024, with 77 observations. The data reached an all-time high of 7.836 USD bn in 2011 and a record low of 9.900 USD mn in 1952. Australia Imports: fob: Advanced Economies: New Zealand data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Australia – Table AU.IMF.DOT: Imports: fob: by Country: Annual.

Queensland's spatial cadastre datasets are changing! From a planned date of 1 July 2025 the current Digital Cadastral Database (DCDB) will be migrated to an entirely new operating environment, and there will be some changes to the data provided. Visit our Spatial Applications Support page (https://spatial-qld-support.atlassian.net/wiki/spaces/QSUITE/pages/1067515932/Cadastre+and+Address+Modernisation+CAM) for more information.The Digital Cadastre is the spatial representation of every current parcel of land in Queensland, and its legal Lot on Plan description and relevant attributes. It provides the map base for systems dealing with land-related information. The Digital Cadastre is considered to be the point of truth for the graphical representation of property boundaries. It is not the point of truth for the legal property boundary or related attribute information, this will always be the plan of survey or the related titling information and administrative data sets. This data is updated weekly on Sunday.Data dictionary https://www.publications.qld.gov.au/dataset/queensland-digital-cadastral-database-supporting-documents/resource/b59bb1a1-3818-4754-8dc4-3669f0ec3f8b Spatial cadastre accuracy map https://www.publications.qld.gov.au/dataset/queensland-digital-cadastral-database-supporting-documents/resource/d6f029ad-b3a4-428b-bcf1-2f7c7326132b

Gambling Data Australia gives you a lot of original gambler contact lists at a very reasonable cost. Actually, gambling is a major public policy issue in this country, affecting the health and well-being of individuals and families in a range of ways. In fact, this directory will help you to get the right information about gamblers that you need. By comprehending player conduct and market trends, businesses can optimize processes. Which improves customer awareness, and measures risks. This means fraud and problem gambling. However, Gambling Data Australia includes details about their names, contacts, behaviors, and ages. This contact number leads is essential for every businessman for their product promotion. Also, you can know their betting claims, preferences, and other contact details. Moreover, our Gambling Data Australia helps gambling businesses understand better betting decisions. So, this dataset can be your perfect choice if you want to get access to the gambling market. Australia Gambling Data offers vast contacts of the actual gamblers with more accuracy. With this verified contact list, you can reach famous gambling parties. Most importantly, it allows you to make good decisions for your betting business in the country. Actually, this is like having a roadmap to success that gives you more outcomes than you spend. So, choosing our up-to-date lead will be a game changer for you in the Australian gambling industry. Likewise, this Australia Gambling Data not only improves efficiency and profitability but also supports strategic planning. Additionally, our authentic gambling data offers valuable benefits for stakeholders or bettors. That enables you to make market analysis and make your betting decision. Above all, this Australia Gambling Data guides you through player preferences. Besides, revenue metrics, regulatory compliance, and many more. So, for long-term growth and success within the competitive market, you can completely depend on us.

Seabed sediment data were extracted from Geoscience Australia's MARine Sediment database (MARS - http://www.ga.gov.au/oracle/mars/). They include the percentage of carbonate in the sediment, and the percentage of mud, sand, or gravel size material found in seabed sediment samples, throughout the Australian Exclusive Economic Zone. The data grids were created using ArcGIS Inverse Distance Squared Weighted methodology.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Australia Trade Balance: Services: Singapore data was reported at -2,244.000 AUD mn in 2023. This records an increase from the previous number of -4,736.000 AUD mn for 2022. Australia Trade Balance: Services: Singapore data is updated yearly, averaging -620.500 AUD mn from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 258.000 AUD mn in 2001 and a record low of -4,736.000 AUD mn in 2022. Australia Trade Balance: Services: Singapore data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Australia – Table AU.OECD.TISP: Trade in Services: Trade Balance: by Country: OECD Member: Annual.

Porosity and permeability data form part of Geoscience Australia’s Reservoir, Facies and Shows (RESFACS) database, which contains depth-based information regarding porosity and permeability measured or interpreted from core, sidewall core and well-log analysis of rocks intersected by offshore petroleum wells. Porosity and permeability are rock properties related to the number, size, and connectivity of openings in the rock. More specifically, porosity of a rock is a measure of its ability to hold a fluid within pore-spaces and the permeability is a measure of the ease of flow of a fluid through a porous solid. Data entered into the porosity and permeability tables are primarily sourced from the Basic and Interpretive volumes of Well Completion Reports (WCR) provided by the petroleum industry to the Commonwealth under the Offshore Petroleum and Greenhouse Gas Storage Act (OPGGSA) 2006 and the previous Petroleum (submerged Lands) Act (PSLA) 1967. Data is also sourced from sedimentologic evaluations and petrophysical studies by Geoscience Australia and its predecessor organisations, the Australian Geological Survey Organisation (AGSO) and the Bureau of Mineral Resources (BMR), as well as from state and territory geological organisations, and scientific publications. The database structure has evolved over time and will keep changing as different types of relevant data become available and the delivery platform changes. Data hosted within Geoscience Australia’s Oracle petroleum wells database was initially delivered through the Petroleum Wells web page, http://dbforms.ga.gov.au/www/npm.well.search, which is in the process of being decommissioned . The porosity and permeability data will now be available to view and download through the Geoscience Australia Portal Core, https://portal.ga.gov.au/. Use Porosity and Permeability as your search term to find the relevant data.

Abstract

The Maranoa-Balonne-Condamine Impact and Risk Analysis Database (Analysis Database) is a fit-for-purpose geospatial information system developed for the Impact and Risk Analysis (Component 3-4) products of the Bioregional Assessment Technical Programme (BATP).

The version provided here for public download has been slightly modified to remove restricted material such as the co-ordinates of protected or threatened species. This version was used to populate BA Explorer.

The Analysis Database brings together many of the data sets used in Components 1 and 2 of the assessments and includes hydrology and hydrogeology modelling results, landscape classes and economic, sociocultural and ecological assets. These data sets are listed in the Component 1 and 2 products under the Assessments tab in http://www.bioregionalassessments.gov.au/.

An Analysis Database of common design and schema was implemented for each subregion where a full Impact and Risk Analysis was completed. To populate each database, input datasets were transformed, normalised and inserted into their respective Analysis Databases in accord with the common design and schema. The approach enabled the universal treatment of data analysis across all bioregions despite data being of different specifications and origins.

The Analysis Database includes all the data used for the assessment of the subregion with the exception of those datasets that were not provided to the program with an open access licence. The database is constructed using the Open Source platform PostgreSQL coupled with PostGIS. This technology was considered to better enable the provenance and transparency requirements of the Programme. The files provided here have been prepared using the PostgreSQL version 9.5 SQL Dump function - pg_dump.

A detailed description of the Analysis Database, its design, structure and application is provided in the supporting documentation: http://data.bioregionalassessments.gov.au/dataset/05e851cf-57a5-4127-948a-1b41732d538c

Purpose

The Maranoa-Balonne-Condamine Impact and Risk Analysis Database (Analysis Database) is the geospatial database for completing the Impact and Risk Analysis component of the Maranoa-Balonne-Condamine Bioregional Assessment. This includes the creating of results, tables and maps that appear in the relevant Products of each assessment. The database also manages the data used by the BA Explorer.

An individual instance of the Analysis Database was developed for each subregion where a component 3-4 Impact and Risks Assessment was conducted. With the exception of the subregion-specific data contained within it and the removal of restricted data records, each analysis database is of identical design and structure.

Dataset History

This Analysis Database is an instance of PostgreSQL version 9.5 hosted on Linux Red Hat Enterprise Linux version 4.8.5-4. PostgreSQL geospatial capabilities are provided by POSTGIS version 2.2.

Data pre-processing and upload into each PostgreSQL database was completed using FME Desktop (Oracle Edition) version 2016.1.2.1. Analysis data and results are provided to users and systems via the geospatial services of Geoserver version 2.9.1. Scientific analysis and mapping was undertaken by connecting a range of data using a combination of Microsoft Excel, QGIS and ArcMap systems.

During the Programme and for its working life, the Analysis Database was hosted and managed on instances of Amazon Web Services managed by Geoscience Australia and the Bureau of Meteorology.

Dataset Citation

Bioregional Assessment Programme (2017) MBC Impact and Risk Analysis Database v01. Bioregional Assessment Derived Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/69075f3e-67ba-405b-8640-96e6cb2a189a.

Dataset Ancestors

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204

• Derived From Surface Geology of Australia, 1:1 000 000 scale, 2012 edition

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 16 June 2015

• Derived From South East Queensland GDE (draft)

• Derived From Geofabric Surface Cartography - V2.1

• Derived From Environmental Asset Database - Commonwealth Environmental Water Office

• Derived From QLD Dept of Natural Resources and Mines, Surface Water Entitlements 131204

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From Catchment Scale Land Use of Australia - 2014

• Derived From Surface water preliminary assessment extent for the Maranoa-Balonne-Condamine subregion - v02

• Derived From MBC Groundwater model domain boundary

• Derived From Key Environmental Assets - KEA - of the Murray Darling Basin

• Derived From Bioregional Assessment areas v03

• Derived From MBC Groundwater model ACRD 5th to 95th percentile drawdown

• Derived From Permanent and Semi-Permanent Waterbodies of the Lake Eyre Basin (Queensland and South Australia) (DRAFT)

• Derived From Receptors for the Maranoa-Balonne-Condamine subregion

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v02

• Derived From MBC Assessment Units 20160714 v01

• Derived From Victoria - Seamless Geology 2014

• Derived From Matters of State environmental significance (version 4.1), Queensland

• Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only

• Derived From Bioregional Assessment areas v06

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 9 June 2015

• Derived From Queensland wetland data version 3 - wetland areas.

• Derived From Groundwater Preliminary Assessment Extent (PAE) for the Maranoa Balonne Condamine (MBC) subregion - v02

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 05 February 2016

• Derived From MBC Groundwater model layer boundaries

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Baseline drawdown Layer 1 - Condamine Alluvium

• Derived From MBC Assessment unit codified by regional watertable

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014

• Derived From MBC Assessment Units 20160714 v02

• Derived From MBC Groundwater model water balance areas

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 25 February 2015

• Derived From Australia - Species of National Environmental Significance Database

• Derived From MBC Groundwater model uncertainty analysis

• Derived From Spring vents assessed for the Surat Underground Water Impact Report 2012

• Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

• **Derived

Australia import data: Explore key sectors & the country's drive for efficient import growth & sustainable development.

CAMRIS incorporates the Australian estuarine database, which includes the National Estuaries Study (Bucher and Saenger 1989, http://dx.doi.org/10.1111/j.1467-8470.1991.tb00726.x). Attributes include location, name, climatic variables, run-off coefficients, land use, flood frequency, water quality, habitat types including seagrass/mangrove/saltmarsh, fisheries/conservation/amenity values, administration, literature and threats.

Format: shapefile.

Quality - Scope: Dataset. Absolute External Positional Accuracy: Assumed to be correct. +/- one degree. Non Quantitative accuracy: The estuaries coverage contains 1566 points and the following attributes:

ESTUARY_NO : Inventory number, contains a letter prefix to denote State in which estuary lies. Estuaries are numbered clockwise around the continent.

NAME : Name of major input stream used to identify an estuary unless the estuary itself is named.

GEO_ZONE : Set of 12 coastal geographical zones (ACIUCN 1986).

CLIM_ZONE : Set of 3 named climatic zones.

CATCH_AREA : Catchment Area (sq km).

AVE_ANN_RF : Mean annual rainfall (mm), recorded at station nearest estuary.

RUNOFF_COEF : Runoff figure, best approximation to a catchment average rainfall, usually the average value for the respective drainage basin.

MAX_TIDAL_RANGE : Maximum tidal range (m).

WATER_AREA : Water area (sq km).

SAND-MUD_AREA : Sand and Mud Area (sq km).

MANGROVE_AREA : Area of Mangroves (sq km).

SEAGRASS_AREA : Area of Seagrass (sq km).

SALTMARSH_AREA : Area of Saltmarsh (sq km).

ESTUARINE_AREA : Est area of estuary (sq km).

GALLOWAY_SECTION : Galloway section number - each 3x10km strip is numbered, clockwise around the coast.

LONGITUDE : Longitude of estuary site (dd).

LATITUDE : Latitude of estuary site (dd).

LANDUSE_CODE : % catchment clearance.

FLOOD_REGIME : Frequency of flooding.

WATER-QUAL : Subjective assessment of water quality only.

MANGROVE_COVER : Degree Mangrove cover.

SEAGRASS_COVER : Degree Seagrass cover.

SALTMARSH_COVER : Degree Saltmarsh cover.

FISH_VALUE : Importance of an estuary as a commercial or amateur fishing ground.

FISH_THREAT : Threats to fisheries.

CONS_VALUE : Qualitative conservation values.

CONS_THREAT : Threats to conservation.

AMENITY_VALUE : Amenities value.

ECO_STATUS : Effects of human activity.

RESEARCH : Depth of information used to assess estuary.

ADMIN : Statutory classifications that restricts use.

Conceptual consistency: Coverages are topologically consistent. No particular tests conducted by ERIN. Completeness omission: Complete for the Australian continent. Lineage: ERIN: Projected the estuaries point coverage to geographics with the WGS84 spheroid. The coverage has been attributed with information taken from the Bucher and Saenger (1989) National estuaries inventory.

CSIRO: Data were stored in VAX files, MS-DOS R-base files and as a microcomputer dataset accessible under the LUPIS (Land Use Planning Information System) land allocation package. CAMRIS was established using SPANS Geographic Information System (GIS) software running under a UNIX operating system on an IBM RS 6000 platform. A summary of data processing follows:

1. r-BASE: Information imported into r-BASE from a number of different sources (ie Digitised, scanned, CD-ROM, NOAA World Ocean Atlas, Atlas of Australian Soils, NOAA GEODAS archive and Complete book of Australian Weather).

2. From the information held in r-BASE a BASE Table was generated incorporating specific fields.

3. SPANS environment: Works on creating a UNIVERSE with a geographic projection - Equidistant Conic (Simple Conic) and Lambert Conformal Conic, Spheroid: International Astronomical Union 1965 (Australia/Sth America); the Lower left corner and the longitude and latitude of the centre point.

4. BASE Table imported into SPANS and a BASE Map generated.

5. Categorise Maps - created from the BASE map and table by selecting out specified fields, a desired window size (ie continental or continent and oceans) and resolution level (ie the quad tree level).

6. Rasterise maps specifying key parameters such as: number of bits, resolution (quad tree level 8 lowest - 16 highest) and the window size (usually 00 or cn).

7. Gifs produced using categorised maps with a title, legend, scale and long/lat grid.

8. Supplied to ERIN with .bil; .hdr; .gif; Arc export files .e00; and text files .asc and .txt formats.

9. The reference coastline for CAMRIS was the mean high water mark (AUSLIG 1:100 000 topographic map series).