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Superseded by HUN AssetList v1.3 20150212 (GUID: dcf8349e-aaed-4d30-80ab-1c8cbad8fe68) on 2/12/2015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

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.

Australia Civilian Population: 15 Years & Over: Male: 25-29 Years data was reported at 1,023.455 Person th in Mar 2025. This records an increase from the previous number of 1,020.149 Person th for Feb 2025. Australia Civilian Population: 15 Years & Over: Male: 25-29 Years data is updated monthly, averaging 701.579 Person th from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 1,023.455 Person th in Mar 2025 and a record low of 579.783 Person th in Feb 1978. Australia Civilian Population: 15 Years & Over: Male: 25-29 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G001: Civilian Population: by Age, Sex and Status.

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).

Number of Students: Higher Education: ytd: Malaysia: Queensland data was reported at 1,174.000 Person in Dec 2024. This stayed constant from the previous number of 1,174.000 Person for Nov 2024. Number of Students: Higher Education: ytd: Malaysia: Queensland data is updated monthly, averaging 1,615.500 Person from Jan 2002 (Median) to Dec 2024, with 276 observations. The data reached an all-time high of 2,204.000 Person in Dec 2010 and a record low of 675.000 Person in Jan 2022. Number of Students: Higher Education: ytd: Malaysia: Queensland data remains active status in CEIC and is reported by Department of Education. The data is categorized under Global Database’s Australia – Table AU.G120: Education Statistics: Number of Enrolments.

Australia telegram data provide accurate and up-to-date data to help grow your business. Our database includes verified TG number leads, enabling seamless connection with telegram users. With easy access to this data, you can boost outreach efforts and streamline communication with List to Data. Additionally, we ensure reliability and quality, making it perfect for marketers looking to connect effectively in Australia. Armenia telegraph screening data will provide you current and accurate telegram phone number leads. The following are the telegram data that will be included: All numbers are open in telegram Gender, Age, Telegram username, Last activity date, Industry calcification. Australia TG Powder is a versatile product known for its quality and wide range of applications. Ideal for various industries, it is crafted to meet high standards and deliver consistent results. Whether used for personal or professional needs, reliability and effectiveness ensure satisfaction across different uses.

The ISOTOPE database stores compiled age and isotopic data from a range of published and unpublished (GA and non-GA) sources. This internal database is only publicly accessible through the webservices given as links on this page. This data compilation includes sample and bibliographic links. The data structure currently supports summary ages (e.g., U-Pb and Ar/Ar) through the INTERPRETED_AGES tables, as well as extended system-specific tables for Sm-Nd, Pb-Pb, Lu-Hf and O- isotopes. The data structure is designed to be extensible to adapt to evolving requirements for the storage of isotopic data. ISOTOPE and the data holdings were initially developed as part of the Exploring for the Future (EFTF) program. During development of ISOTOPE, some key considerations in compiling and storing diverse, multi-purpose isotopic datasets were developed: 1) Improved sample characterisation and bibliographic links. Often, the usefulness of an isotopic dataset is limited by the metadata available for the parent sample. Better harvesting of fundamental sample data (and better integration with related national datasets such as Australian Geological Provinces and the Australian Stratigraphic Units Database) simplifies the process of filtering an isotopic data compilation using spatial, geological and bibliographic criteria, as well as facilitating ‘audits’ targeting missing isotopic data. 2) Generalised, extensible structures for isotopic data. The need for system-specific tables for isotopic analyses does not preclude the development of generalised data-structures that reflect universal relationships. GA has modelled relational tables linking system-specific Sessions, Analyses, and interpreted data-Groups, which has proven adequate for all of the Isotopic Atlas layers developed thus far. 3) Dual delivery of ‘derived’ isotopic data. In some systems, it is critical to capture the published data (i.e. isotopic measurements and derived values, as presented by the original author) and generate an additional set of derived values from the same measurements, calculated using a single set of reference parameters (e.g. decay constant, depleted-mantle values, etc.) that permit ‘normalised’ portrayal of the data compilation-wide. 4) Flexibility in data delivery mode. In radiogenic isotope geochronology (e.g. U-Pb, Ar-Ar), careful compilation and attribution of ‘interpreted ages’ can meet the needs of much of the user-base, even without an explicit link to the constituent analyses. In contrast, isotope geochemistry (especially microbeam-based methods such as Lu-Hf via laser ablation) is usually focused on the individual measurements, without which interpreted ‘sample-averages’ have limited value. Data delivery should reflect key differences of this kind.

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.

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.

This dataset is the average clay content of the top 2m of soil over the Sydney Basin. It is derived from the TERN digital soil mapping (http://www.tern.org.au/Soil-and-Landscape-Grid-of-Australia-pg17731.html).

Purpose

This dataset was created to estimate groundwater recharge in the alluvial areas of the Sydney Basin using the empirical method of Wohling et al (2012).

Wohling DL, Leaney FW and Crosbie RS (2012) Deep drainage estimates using multiple linear regression with percent clay content and rainfall. Hydrol. Earth Syst. Sci. 16(2), 563-572. DOI: 10.5194/hess-16-563-2012.

Dataset History

This is a depth-weighted average of the clay content from 6 soil layers in the TERN digital soil mapping (http://data.bioregionalassessments.gov.au/dataset/f8640540-4bb7-42ee-995a-219881e67705).

It has then been re-projected to MGA94 Zone 56 and re-sampled to a 500m raster.

Dataset Citation

Bioregional Assessment Programme (XXXX) SYD Soil - Average Clay Content Top 2m v01. Bioregional Assessment Derived Dataset. Viewed 22 June 2018, http://data.bioregionalassessments.gov.au/dataset/95fc3145-5249-4bd4-bfd2-a812c39d68f9.

Dataset Ancestors

• Derived From Bioregional Assessment areas v02

• Derived From Gippsland Project boundary

• Derived From Bioregional Assessment areas v04

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Bioregional Assessment areas v03

• Derived From Bioregional Assessment areas v05

• Derived From GEODATA TOPO 250K Series 3

• Derived From Soil and Landscape Grid National Soil Attribute Maps - Clay 3 resolution - Release 1

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v06

• Derived From Victoria - Seamless Geology 2014

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

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

Australia Employment: Married: Female data was reported at 4,209.270 Person th in Feb 2025. This records an increase from the previous number of 4,107.726 Person th for Jan 2025. Australia Employment: Married: Female data is updated monthly, averaging 2,464.578 Person th from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 4,213.755 Person th in Dec 2024 and a record low of 1,243.150 Person th in Jan 1979. Australia Employment: Married: Female data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G014: Employment: by Age, Sex and Status.

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.

National dataset of Australia's Ramsar Wetlands.

The Convention on Wetlands of International Importance (the Ramsar Convention) was signed in Ramsar, Iran on 2 February 1971. The Ramsar Convention aims to halt the worldwide loss of wetlands and to conserve, through wise use and management, those that remain. The Convention encourages member countries to nominate sites containing representative, rare or unique wetlands, or that are important for conserving biological diversity, to the List of Wetlands of International Importance (Ramsar sites). Australia was one of the first countries to become a Contracting Party to the Convention and designated the world's first Ramsar site, Cobourg Peninsula, in 1974.

This project was initiated by the Wetlands Section of the Australian Government Department of the Environment. Spatial data was sourced from the relevant State and Territory agencies and compiled into a single national coverage.

Credit:

(c) Commonwealth of Australia, Department of Environment with data compiled through cooperative efforts of the States/Territories Government wetland agencies.

April 2015.

Credit:

ACT Government, Environment and Planning Directorate,

Credit:

NSW Office of the Environment and Heritage,

Credit:

NT Department of Land Resource Management,

Credit:

Qld Department of Department of Environment and Heritage Protection,

Credit:

SA Department of Environment, Water and Natural Resources,

Credit:

Tas Department of Primary Industries, Parks, Water and Environment,

Credit:

Vic Department of Environment and Primary Industries,

Credit:

WA Department of Environment and Conservation.

Purpose

This project was initiated by the Wetlands Section of the Australian Government Department of the Environment. Spatial data was sourced from the relevant State and Territory agencies and compiled into a single national coverage.

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 dataset is a polygon dataset which amalgamates spatial boundaries provided by data custodians to produce a national dataset

Data received from each State or Territory were compiled by ERIN and verified by the Wetlands Section of the Australian Government Department of the Environment.

The boundaries are supplied by the custodian States and Territories, no alterations have been made to boundaries except for datum/projection transformations.

Note: The data in the final coverage contains data captured from different sources including Satellite imagery, orthophoto, digitising 1:100 000 maps and smaller scale. SOURCE field contains general description of input data source.

Data were compiled using ArcGIS software.

Updates

Gwydir - Windella boundary updated (5/12/06) from NSW NPWS map file coordinates (ruled in court case to be the legal boundary). Coordinates were provided in AGD66 and projected to GDA94 using the AGD_1966_To_GDA_1994_4 transform.

December 2006 - updated attribute table to include juresdiction, total_site_area_ha and designation_date fields.

November 2007 - Paroo River Wetlands added as 65th site.

April 2009 - Complete update of NSW boundaries with INTERIM boundaries supplied by NSW DECC on 13/3/09. All NSW boundaries were replaced by the boundaries in the supplied dataset. This is for use internally until final boundaries supplied by DECC. Note that the designation date of Lake Pinaroo was incorrect and was changed by DEWHA with permission from DECC. Detailed information on the changes at each site are included in the data supplied by the custodian.

May 2009 - Complete update of VIC boundaries with data provided by DSE. Only boundary changes are to Western Port and Port Phillip Bay and Bellarine Peninsula which were updated with improved mapping.

April 2010 - NSW boundaries updated with revised boundaries from NSW DECC. Shortlands within Hunter Estuary, and Goddard's Lease in Gwydir were surveyed by consultants and have been updated.

April 2010 - Marine boundaries were updated as a result of boundary review to align with the Marine Parks. Minor changes only (datum errors have been corrected).

June 2010 - Kakadu National Park, Hosnies Spring and Pulu Keeling National Park updated. Kakadu National Park was merged from two sites into one; datum errors in Hosnies Spring have been corrected and Pulu Keeling updated to represent the National Park boundary.

June 2010 - WA boundaries replaced with boundary dataset from WA DEC to ensure consistency. Minor data processing changes only (generally less than 4m).

October 2010 - Kakadu National Park, Hosnies Spring and the Dales updated. An error was found in the CAPAD boundaries for these, so they have been updated with new boundaries supplied by Parks.

November 2010 - All Tasmanian Ramsar Wetland boundaries were updated following the provision of new data from the state. Further changes were made in late November with new data being obtained for Apsley Marshes and Moulting lagoon.

June 2011 - Victorian boundaries updated for all sites with the exception of Western Port and Port Phillip Bay and Bellarine Peninsula which were updated in May 2009.

June 2011 - Coorong boundary updated with data provided by South Australian DEH.

July 2011 - Hattah-Kulkyne updated with new data provided by Vic DSE. The new boundary is based on aerial photography to interpret the high water mark of the lake extent.

July 2011 - Ginini Flats updated with new boundary from ACT Department of Territory and Municipal Services.

September 2013 - Piccaninnie ponds added from data provided by SA Department for Environment and Heritage.

Quality

Scope: Dataset

External accuracy:

Variable due to numerous sources

Non Quantitative accuracy:

100%, unique Refcode being the important item.

Conceptual consistency:

No information provided beyond normal procedures for compiling GIS data.

Completeness omission:

Complete

Dataset Citation

Department of the Environment (2015) Ramsar Wetlands of Australia. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/d65cc156-944d-4961-bfba-eacfd61db63a.

Google Mobility Changes: Retails & Recreation: Australia: Australian Capital Territory data was reported at 2.000 % in 30 Sep 2022. This records a decrease from the previous number of 4.000 % for 29 Sep 2022. Google Mobility Changes: Retails & Recreation: Australia: Australian Capital Territory data is updated daily, averaging -6.000 % from Feb 2020 (Median) to 30 Sep 2022, with 959 observations. The data reached an all-time high of 21.000 % in 22 Feb 2020 and a record low of -84.000 % in 25 Dec 2020. Google Mobility Changes: Retails & Recreation: Australia: Australian Capital Territory data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s Australia – Table AU.Google.GM: Mobility Trends: Retail & Recreation.

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

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 Western Australia.

Australia Civilian Population: Married: 15 Years & Over: Female: 55-59 Years data was reported at 543.479 Person th in Feb 2025. This records an increase from the previous number of 533.079 Person th for Jan 2025. Australia Civilian Population: Married: 15 Years & Over: Female: 55-59 Years data is updated monthly, averaging 373.367 Person th from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 559.390 Person th in Jul 2020 and a record low of 255.507 Person th in Feb 1978. Australia Civilian Population: Married: 15 Years & Over: Female: 55-59 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G001: Civilian Population: by Age, Sex and Status.

Australia Civilian Population: Not Married: 15 Years & Over: 35-44 Years data was reported at 967.759 Person th in Feb 2025. This records an increase from the previous number of 965.567 Person th for Jan 2025. Australia Civilian Population: Not Married: 15 Years & Over: 35-44 Years data is updated monthly, averaging 736.062 Person th from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 974.198 Person th in Oct 2024 and a record low of 216.523 Person th in Feb 1978. Australia Civilian Population: Not Married: 15 Years & Over: 35-44 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G001: Civilian Population: by Age, Sex and Status.

Australia Civilian Population: 15 Years & Over: Male: 40-44 Years data was reported at 939.362 Person th in Mar 2025. This records an increase from the previous number of 936.492 Person th for Feb 2025. Australia Civilian Population: 15 Years & Over: Male: 40-44 Years data is updated monthly, averaging 729.075 Person th from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 939.362 Person th in Mar 2025 and a record low of 391.485 Person th in Feb 1978. Australia Civilian Population: 15 Years & Over: Male: 40-44 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G001: Civilian Population: by Age, Sex and Status.

Australia Civilian Population: Not Married: 15 Years & Over: Female: 45-54 Years data was reported at 498.537 Person th in Feb 2025. This records a decrease from the previous number of 509.392 Person th for Jan 2025. Australia Civilian Population: Not Married: 15 Years & Over: Female: 45-54 Years data is updated monthly, averaging 321.065 Person th from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 516.337 Person th in Nov 2024 and a record low of 125.167 Person th in Nov 1978. Australia Civilian Population: Not Married: 15 Years & Over: Female: 45-54 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G001: Civilian Population: by Age, Sex and Status.

Australia Import: Value: Puerto Rico data was reported at 12.000 AUD mn in Mar 2025. This records a decrease from the previous number of 28.000 AUD mn for Feb 2025. Australia Import: Value: Puerto Rico data is updated monthly, averaging 21.000 AUD mn from Jan 1988 (Median) to Mar 2025, with 447 observations. The data reached an all-time high of 121.000 AUD mn in Jan 2023 and a record low of 0.000 AUD mn in Jan 1988. Australia Import: Value: Puerto Rico data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.JA026: Imports: by Country.