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 Database of Communities of National Environmental Significance stores maps, taxonomic, ecological, and management information about Communities of National Environmental Significance listed in the Environment Protection and Biodiversity Conservation (EPBC) Act 1999 as threatened ecological communities.

Credit:

State and Commonwealth Herbaria, Museums and Conservation Agencies Centre for Plant Biodiversity Research Australian Government Department of the Environment, Environmental Resources Information Network

External accuracy:

The positional accuracy of spatial data is a statistical estimate of the degree to which planimetric coordinates and elevations of features agree with their real world values. The planimetric accuracy attainable in the vector data will be composed of errors from three sources:

1. The positional accuracy of the source material

2. Errors due to the conversion processes.

3. Errors due to the manipulation processes.

This specification cannot prescribe a figure for the planimetric accuracy of the existing source material used for capture of community distributions as it has already been produced. The errors due to the digitising process depend on the accuracy of the digitising table set-up or the scanner resolution, systematic errors in the equipment, errors due to software and errors specific to the operator. An accepted standard for digitising is that the line accuracy should be within half a line width.

Non Quantitative accuracy:

Tests are undertaken to ensure that there are no errors in attributes:

• The spatial resolution of the data is reflected in the Presence Categories

• Presence categories are one of:

\* Community known to occur within area

\* Community likely to occur within area

\* Community may occur within area (general indication only)

Conceptual consistency:

Tests undertaken for logical consistency:

• Names of export files and data quality table are correct

• Table names are valid

• Item names in coverages are valid

• Item names are present in coverage attribute files

• Label points and entity point features have only one coordinate pair

• The Arc/Info coverages can be generated, have attributes attached and be 'built'

• In polygon coverages there are no label errors i.e. every polygon has one and only one polygon label point

• Data format, projection and data type are correct

• There are no overshoots, i.e. arc overhangs at intersections (1% error acceptable)

• There are no undershoots, i.e. arcs failing to meet at intersections (0.5% error acceptable)

• There are no new polygons smaller than the minimum specified area (5% error acceptable)

• There are no new linear features shorter than the minimum length (5% error acceptable)

• There are no artefacts such as spikes or deviations visible at 1:125 000 (5% error acceptable)

• Separate covers have exactly coincident lines where intended (5% error acceptable)

Completeness omission:

The database is continually being updated as the lists of threatened ecological communities on schedules of the EPBC Act are amended.

The Species of National Environmental Significance database is available at

https://www.environment.gov.au/science/erin/databases-maps/snes

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.

The Spatial information is stored in a geographic information system and links to the Species Profile tables through the community identifier.

Source data were provided from a range of government, industry and non-government organisations.

Testing is carried out using a combination of expert opinion and on-screen checks.

Dataset Citation

Department of the Environment (2015) Communities of National Environmental Significance Database - RESTRICTED - Metadata only. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/c01c4693-0a51-4dbc-bbbd-7a07952aa5f6.

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 database is an initial Asset database for the Central West subregion on 29 April 2015. This dataset contains the spatial and non-spatial (attribute) components of the Central West subregion Asset List as one .mdb files, which is readable as an MS Access database and a 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 Central West 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 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 Central West subregion 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 "CEN_asset_database_doc_20150429.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 "CEN_asset_database_doc_20150429.doc" located in the zip file. Some of the source data used in the compilation of this dataset is restricted.

Dataset History

This is initial asset database.

The Bioregional Assessments methodology (Barrett et al., 2013) defines a water-dependent asset as a spatially distinct, geo-referenced entity contained within a bioregion with characteristics having a defined cultural indigenous, economic or environmental value, and that can be linked directly or indirectly to a dependency on water quantity and/or quality.

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. Elements are initially included in 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 materiality test 2 (M2) - assets considered to be water dependent.

Elements may be represented by a single, discrete spatial unit (polygon, line or point), or a number of spatial units occurring at more than one location (multipart polygons/lines or multipoints). Spatial features representing elements are not clipped to the preliminary assessment extent - features that extend beyond the boundary of the assessment extent have been included in full. To assist with an assessment of the relative importance of elements, area statements have been included as an attribute of the spatial data. Detailed attribute tables contain descriptions of the geographic features at the element level. Tables are organised by data source and can be joined to the spatial data on the "ElementID" field

Elements are grouped into Assets, which are the objects 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.

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

Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the project team leader and incorporated into the Assetlist table in the Asset database. The Asset database is then re-registered into the BA repository.

The Asset database dataset (which is registered to the BA repository) contains separate spatial and non-spatial databases.

Non-spatial (tabular data) is provided in an ESRI personal geodatabase (.mdb - doubling as a MS Access database) to store, query, and manage non-spatial data. This database can be accessed using either MS Access or ESRI GIS products. Non-spatial data has been provided in the Access database to simplify the querying process for BA project teams. Source datasets are highly variable and have different attributes, so separate tables are maintained in the Access database to enable the querying of thematic source layers.

Spatial data is provided as an ESRI file geodatabase (.gdb), and can only be used in an ESRI GIS environment. Spatial data is represented as a series of spatial feature classes (point, line and polygon layers). Non-spatial attribution can be joined from the Access database using the AID and ElementID fields, which are common to both the spatial and non-spatial datasets. Spatial layers containing all the point, line and polygon - derived elements and assets have been created to simplify management of the Elementlist and Assetlist tables, which list all the elements and assets, regardless of the spatial data geometry type. i.e. the total number of features in the combined spatial layers (points, lines, polygons) for assets (and elements) is equal to the total number of non-spatial records of all the individual data sources.

Dataset Citation

Department of the Environment (2013) Asset database for the Central West subregion on 29 April 2015. Bioregional Assessment Derived Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/5c3f9a56-7a48-4c26-a617-a186c2de5bf7.

Dataset Ancestors

• Derived From Macquarie Marshes Vegetation 1991-2008 VIS_ID 3920

• Derived From NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014)

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

• Derived From Travelling Stock Route Conservation Values

• Derived From NSW Wetlands

• 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 Environmental Asset Database - Commonwealth Environmental Water Office

• Derived From NSW Office of Water Surface Water Offtakes - NIC v1 20131024

• 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 Ramsar Wetlands of Australia

• Derived From Native Vegetation Management (NVM) - Manage Benefits

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

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

• Derived From Climate Change Corridors (Dry Habitat) for North East NSW

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

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

• Derived From [New South Wales NSW Regional CMA Water Asset

In most democracies, the public record of legislative votes in national and local parliaments is an important basis for holding elected officials accountable. In political science, that record is also an important source of data on legislator and party behavior. In practice, many legislatures create a public record of the votes cast by individual legislators for only a fraction of the issues on which votes occur. These recorded votes often are not a representative sample of all votes cast and may exhibit systematic biases that have implications for political accountability and for the science of political behavior. Therefore, understanding the characteristics of the issues that receive a publicly recorded vote (a roll-call vote) is essential to our understanding of democratic processes and evaluating the limits of scientific inferences that can be drawn from roll-call data. This data set advances our understanding of the voting record through examination of national parliamentary bodies around the world.

A manually curated registry of standards, split into three types - Terminology Artifacts (ontologies, e.g. Gene Ontology), Models and Formats (conceptual schema, formats, data models, e.g. FASTA), and Reporting Guidelines (e.g. the ARRIVE guidelines for in vivo animal testing). These are linked to the databases that implement them and the funder and journal publisher data policies that recommend or endorse their use.

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 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/64ecd565-bb7c-4f21-951e-f35966b91c99.

Dataset Ancestors

• Derived From Groundwater Economic Elements Hunter NSW 20150520 PersRem v02

• 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 Offtakes - Hunter v1 24102013

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

• Derived From Asset list for Hunter - CURRENT

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

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

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

• Derived From Commonwealth Heritage List Spatial Database (CHL)

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

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

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

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

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

Abstract

This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Galilee subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Galilee subregion on 04 January 2016 (12ff5782-a3d9-40e8-987c-520d5fa366dd);. The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

The restricted version of the Galilee Asset database has a total count of 403 918 Elements and 4 426 Assets. In the public version of the Asset GalileeGalilee database 13759 spatial Element features (\~3%) have been removed from the Element List and Element Layer(s) and 352 spatial Assets (\~8%) have been removed from the spatial Asset Layer(s)

The elements/assets removed from the restricted Asset Database are from the following data sources:

1) Environmental Asset Database - Commonwealth Environmental Water Office - RESTRICTED (Metadata only) (29fd1654-8aa1-4cb3-b65e-0b37698ac9a6)

2) Key Environmental Assets - KEA - of the Murray Darling Basin RESTRICTED (Metadata only) (9948195e-3d3b-49dc-96d2-ea7765297308)

3) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

4) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

5) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

Dataset History

The public version of the asset database retains all of the unrestricted components of the Asset database for the Galilee subregion on 04 January 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Cooper subregion product 1.3: Description of the water-dependent asset register and asset list for the Galilee subregion on 04 January 2016, and the associated Water-dependent asset register and asset list for the Galilee subregion on 04 January 2016.

Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

Development of the Asset Register from the Asset database:

Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

The rule sets are applied as follows:

M0\tM1\tM2\tResult

No\tn/a\tn/a\tAsset is not included in the asset list or the water-dependent asset register

(≠ No)\tNo\tn/a\tAsset is not included in the asset list or the water-dependent asset register

(≠ No)\tYes\tNo\tAsset included in published asset list but not in water dependent asset register

(≠ No)\tYes\tYes\tAsset included in both asset list and water-dependent asset register

Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

At this stage of its development, the for the Galilee subregion on 04 January 2016, which this document describes, does not contain any receptor information.

Dataset Citation

Bioregional Assessment Programme (2013) Asset database for the Galilee subregion on 04 January 2016 Public. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/eb4cf797-9b8f-4dff-9d7a-a5dfbc8d2bed.

Dataset Ancestors

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

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

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

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

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

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

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

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

• Derived From Asset database for the Galilee subregion on 04 January 2016

• Derived From Environmental Asset Database - Commonwealth Environmental Water Office

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

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

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

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

• Derived From Ramsar Wetlands of Australia

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

• Derived From Asset database for the Galilee subregion on 2 December 2014

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

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

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

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

• Derived From [QLD DNRM

This database automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Importance of access to the Internet anytime and anywhere with regular internet users, by education and sex, Slovenia, 2018-2019”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Clarence-Moreton subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Clarence-Moreton bioregion on 24 February 2016 (6d11ffbc-ea57-49cb-8e00-f97761e0c5d6; see the lineage field for a direct link). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

The restricted version of the Clarence-Moreton Asset database has a total count of 294961 Elements and 2708 Assets. In the public version of the Asset Clarence-Moreton database 172 084 spatial Element features (~58%) have been removed from the Element List and Element Layer(s) and 802 spatial Assets (~30%) have been removed from the spatial Asset Layer(s)

The elements/assets removed from the restricted Asset Database are from the following data sources:

1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

3) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

4) Northern Rivers CMA GDEs (DPI pre-release) - RESTRICTED - Metadata only ((ac1bd285-5f50-46e2-bc04-b21e8e182a62)

These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

Purpose

The data are for any external party that wants to access the asset database used for the assessment. The BATP is required to release these wherever possible, to comply with the requirements of transparency and repeatability.

Dataset History

The public version of the asset database retains all of the unrestricted components of the Asset database for the Clarence-Moreton bioregion on 24 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Clarence-Moreton bioregion product 1.3: Description of the water-dependent asset register and asset list for the Clarence-Moreton bioregion on 24 February 2016 , and the associated Water-dependent asset register and asset list for the Clarence-Moreton bioregion on 24 February 2016 .

Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

Development of the Asset Register from the Asset database:

Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

The rule sets are applied as follows:

M0 M1 M2 Result

No n/a n/a Asset is not included in the asset list or the water-dependent asset register

(≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

(≠ No) Yes No Asset included in published asset list but not in water dependent asset register

(≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

At this stage of its development, the Asset database for the Clarence-Moreton bioregion on 24 February 2016, which this document describes, does contain receptor information, but the receptor information was removed from this public version.

Dataset Citation

Bioregional Assessment Programme (2016) Asset database for the Clarence-Moreton bioregion on 24 February 2016 Public 20170112 v03. Bioregional Assessment Derived Dataset. Viewed 20 March 2017, http://data.bioregionalassessments.gov.au/dataset/b3338edb-a6df-47ae-944f-0be927639bca.

Dataset Ancestors

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

• Derived From Combined Surface Waterbodies for the Clarence-Moreton bioregion

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From Version 02 Asset list for Clarence Morton 8/8/2014 - ERIN ORIGINAL DATA

• Derived From Asset database for the Clarence-Moreton bioregion on 11 December 2014, minor version v20150603

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

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

• Derived From Geofabric Surface Network - V2.1

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

• Derived From Geofabric Surface Catchments - V2.1

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

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

• Derived From Australia World Heritage Areas

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

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

• Derived From Australia - Present Major Vegetation Groups - NVIS Version 4.1 (Albers 100m analysis product)

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

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

• Derived From Australia - Species of National Environmental Significance Database

• Derived From Queensland wetland data version 3 - wetland areas - WETCLASS: E, L, M, P, R

• Derived From South East Queensland GDE (draft)

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From [Asset database for the Clarence-Moreton

The Tate Collection Here we present the metadata for around 70,000 artworks that Tate owns or jointly owns with the National Galleries of Scotland as part of ARTIST ROOMS. Metadata for around 3,500 associated artists is also included. The metadata here is released under the Creative Commons Public Domain CC0 licence. Please see the enclosed LICENCE file for more detail. Images are not included and are not part of the dataset. Use of Tate images is covered on the Copyright and permissions page. You may also license images for commercial use. Please review the full usage guidelines. Repository Contents We offer two data formats: A richer dataset is provided in the JSON format, which is organised by the directory structure of the Git repository. JSON supports more hierarchical or nested information such as subjects. We also provide CSVs of flattened data, which is less comprehensive but perhaps easier to grok. The CSVs provide a good introduction to overall contents of the Tate metadata and create opportunities for artistic pivot tables. JSON Artists Each artist has his or her own JSON file. They are found in the artists folder, then filed away by first letter of the artist’s surname. Artworks Artworks are found in the artworks folder. They are filed away by accession number. This is the unique identifier given to artworks when they come into the Tate collection. In many cases, the format has significance. For example, the ar accession number prefix indicates that the artwork is part of ARTIST ROOMS collection. The n prefix indicates works that once were part of the National Gallery collection. CSV There is one CSV file for artists (artist_data.csv) and one (very large) for artworks (artwork_data.csv), which we may one day break up into more manageable chunks. The CSV headings should be helpful. Let us know if not. Entrepreneurial hackers could use the CSVs as an index to the JSON collections if they wanted richer data. Usage guidelines for open data These usage guidelines are based on goodwill. They are not a legal contract but Tate requests that you follow these guidelines if you use Metadata from our Collection dataset. The Metadata published by Tate is available free of restrictions under the Creative Commons Zero Public Domain Dedication. This means that you can use it for any purpose without having to give attribution. However, Tate requests that you actively acknowledge and give attribution to Tate wherever possible. Attribution supports future efforts to release other data. It also reduces the amount of ‘orphaned data’, helping retain links to authoritative sources. Give attribution to Tate Make sure that others are aware of the rights status of Tate and are aware of these guidelines by keeping intact links to the Creative Commons Zero Public Domain Dedication. If for technical or other reasons you cannot include all the links to all sources of the Metadata and rights information directly with the Metadata, you should consider including them separately, for example in a separate document that is distributed with the Metadata or dataset. If for technical or other reasons you cannot include all the links to all sources of the Metadata and rights information, you may consider linking only to the Metadata source on Tate’s website, where all available sources and rights information can be found, including in machine readable formats. Metadata is dynamic When working with Metadata obtained from Tate, please be aware that this Metadata is not static. It sometimes changes daily. Tate continuously updates its Metadata in order to correct mistakes and include new and additional information. Museum collections are under constant study and research, and new information is frequently added to objects in the collection. Mention your modifications of the Metadata and contribute your modified Metadata back Whenever you transform, translate or otherwise modify the Metadata, make it clear that the resulting Metadata has been modified by you. If you enrich or otherwise modify Metadata, consider publishing the derived Metadata without reuse restrictions, preferably via the Creative Commons Zero Public Domain Dedication. Be responsible Ensure that you do not use the Metadata in a way that suggests any official status or that Tate endorses you or your use of the Metadata, unless you have prior permission to do so. Ensure that you do not mislead others or misrepresent the Metadata or its sources Ensure that your use of the Metadata does not breach any national legislation based thereon, notably concerning (but not limited to) data protection, defamation or copyright. Please note that you use the Metadata at your own risk. Tate offers the Metadata as-is and makes no representations or warranties of any kind concerning any Metadata published by Tate. The writers of these guidelines are deeply indebted to the Smithsonian Cooper-Hewitt, National Design Museum; and Europeana.

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

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 supersedes the previous version, HUN_AssetList_Database_v1p2_20150128 GUID: 64ecd565-bb7c-4f21-951e-f35966b91c99 to resolve an issue where unique asset identifiers (AID) were found to have been duplicated within an Asset List Database which had been prepared for another subregion.

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_v1p3_20150212.doc", located in this file.

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_v1p3_20150212.doc" located in this 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

On 20 April 2015 the title of this database was changed from "HUN AssetList v1.3 20150212".

This dataset supersedes the previous version, HUN_AssetList_Database_v1p2_20150128 GUID: 64ecd565-bb7c-4f21-951e-f35966b91c99 to resolve an issue where unique asset identifiers (AID) were found to have been duplicated within an Asset List Database which had been prepared for another subregion.

The previous version of the Hunter asset list database (v1.2 as noted above) 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). It superseded the previous database: "Asset list for Hunter - CURRENT"; ID: 51b1e021-2958-4cd3-8daa-ba46ece09d1c.

Dataset Citation

Bioregional Assessment Programme (2015) Asset database for the Hunter subregion on 12 February 2015. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/dcf8349e-aaed-4d30-80ab-1c8cbad8fe68.

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 Groundwater Economic Elements Hunter NSW 20150520 PersRem v02

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

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

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

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

• Derived From HUN AssetList Database v1p2 20150128

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

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

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

This database automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Importance of access to the Internet at any time and anywhere with regular Internet users, by activity status, Slovenia, 2018-2019”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

Abstract

This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Cooper subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Cooper subregion on 12 May 2016 (90230311-b2e7-4d4d-a69a-03daab0d03cc). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

The restricted version of the Cooper Asset database has a total count of 63910 Elements and 1 611 Assets. In the public version of the Asset Cooper database 6209 spatial Element features (~10%) have been removed from the Element List and Element Layer(s) and 47 spatial Assets (~3%) have been removed from the spatial Asset Layer(s)

The elements/assets removed from the restricted Asset Database are from the following data sources:

1) Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

3) Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification (9be10819-0e71-4d8d-aae5-f179012b6906)

4) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset

Dataset History

The public version of the asset database retains all of the unrestricted components of the Asset database for the Cooper subregion on 12 May 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Cooper subregion product 1.3: Description of the water-dependent asset register and asset list for the Cooper subregion on 12 May 2016, and the associated Water-dependent asset register and asset list for the Cooper subregion on 12 May 2016.

Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

Development of the Asset Register from the Asset database:

Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

The rule sets are applied as follows:

M0 M1 M2 Result

No n/a n/a Asset is not included in the asset list or the water-dependent asset register

(≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

(≠ No) Yes No Asset included in published asset list but not in water dependent asset register

(≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

At this stage of its development, the Asset database for the Cooper subregion on 12 May 2016, which this document describes, does not contain receptor information.

Dataset Citation

Bioregional Assessment Programme (2014) Asset database for the Cooper subregion on 12 May 2016 Public. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/bffa0c44-c86f-4f81-8070-2f0b13e0b774.

Dataset Ancestors

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

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

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

• Derived From Geofabric Surface Network - V2.1

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

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

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

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

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

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

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Water Management Areas 141007

• Derived From South Australian Wetlands - Groundwater Dependent Ecosystems (GDE) Classification

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

• Derived From Asset database for the Cooper subregion on 14 August 2015

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

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

• Derived From SA EconomicElements v1 20141201

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

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

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

• Derived From [Asset database

Abstract

The dataset was derived by the Bioregional Assessment Programme. You can find a link to the parent datasets 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.

Spatial layer which can be applied for cartography in order to mask out areas outside of the Lochern National Park, but within the coastal boundaries of Australia.

Purpose

Dataset created specifically for use in maps for the Galilee subregion, as part of the Bioregional Assessments project.

Dataset History

The shapefile contained within this dataset was created using the following processes.

1. Created polygon shapefile from line dataset (coast_10million.shp (f55ec9b3-ab74-4056-93a2-b4b8aa65ead1))

2. Selected where 'AssetName' = 'Lochern National Park' from AnR_GAL_AssetList_Poly (6968b11f-9912-42ca-8536-00cde75e75d9)

3. Erased polygon from step 1 with polygons defined by step 2

Dataset Citation

Bioregional Assessment Programme (2015) Cartographic mask for Lochern National Park. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/6c0d2aec-3166-4fc4-95d3-f2ab7604f703.

Dataset Ancestors

• Derived From Asset list for Galilee - 20140605

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

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

• Derived From Environmental Asset Database - Commonwealth Environmental Water Office

• Derived From GEODATA TOPO 10M 2002

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

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

• Derived From Australia - Species of National Environmental Significance Database

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

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

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

• Derived From Australia World Heritage Areas

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

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

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

• Derived From Ramsar Wetlands of Australia

Music Credits Database Market Outlook

According to our latest research, the global Music Credits Database market size reached USD 412.7 million in 2024, with a robust year-on-year growth rate. The market is projected to expand at a CAGR of 13.2% from 2025 to 2033, reaching a forecasted value of USD 1,165.9 million by 2033. This impressive growth trajectory is primarily driven by the increasing demand for transparency and accuracy in music rights management, the proliferation of digital music streaming platforms, and the adoption of advanced metadata solutions across the music industry.

One of the primary growth factors propelling the Music Credits Database market is the exponential rise in digital music consumption globally. As streaming platforms become the dominant mode of music distribution, the need for precise and comprehensive metadata about songwriters, producers, and other contributors has intensified. Accurate music credits are essential for ensuring fair compensation and royalty distribution, which is a top priority for artists, publishers, and record labels alike. The shift towards digital-first music consumption has also increased scrutiny from regulatory bodies and industry associations, further emphasizing the necessity for reliable music credits databases. This has led to a surge in demand for both software and service-based solutions that can automate the process of metadata collection, validation, and dissemination across platforms.

Another significant growth driver for the Music Credits Database market is the evolving landscape of intellectual property rights management. With the rise of independent artists and decentralized music publishing, there is a growing need for platforms that can seamlessly integrate with various stakeholders and provide real-time updates on music credits. This has spurred innovation in the development of cloud-based databases, blockchain-enabled verification systems, and AI-powered metadata enrichment tools. The integration of these advanced technologies not only enhances the accuracy and reliability of music credits but also streamlines the administrative processes involved in royalty payments and copyright enforcement. As a result, music industry participants are increasingly investing in robust music credits database solutions to safeguard their interests and optimize revenue streams.

Furthermore, the increasing collaboration among global artists, producers, and songwriters has added complexity to the music rights ecosystem, making the role of music credits databases even more critical. Cross-border collaborations require standardized and interoperable systems that can handle multiple languages, legal frameworks, and royalty distribution mechanisms. This trend is particularly evident in emerging markets, where local music industries are rapidly integrating with the global music economy. The growing recognition of the importance of accurate credits in promoting diversity, equity, and inclusion within the music industry is also fostering a culture of transparency and accountability, further fueling market growth.

From a regional perspective, North America continues to dominate the Music Credits Database market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, is home to major music streaming platforms, record labels, and technology providers that drive innovation in this space. Europe, with its strong regulatory framework and vibrant music scene, is also witnessing significant adoption of music credits database solutions. Meanwhile, Asia Pacific is emerging as a high-growth region, propelled by the rapid digitization of music consumption and the expansion of local streaming platforms. Latin America and the Middle East & Africa are gradually catching up, supported by rising internet penetration and growing awareness about intellectual property rights.

In addition to the technological advancements, the financial aspect of managing a music catalog has become increasingly significant. Music Catalog Finance plays a crucial role in ensuring that artists and rights holders receive timely and accurate payments for their contributions. As the music industry continues to evolve, the financial mechanisms supporting music catalogs must adapt to accommodate new revenue streams, such as digit

Abstract

The dataset was derived by the Bioregional Assessment Programme from the Asset database for the Arckaringa subregion dataset. The source dataset is 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.

Spatial layer which can be applied for cartography in order to mask out areas outside of the Witjira National Park.

Purpose

Dataset created specifically for use in maps for the Arckaringa subregion, as part of the Bioregional Assessments project.

Dataset History

1. Created box-shaped polygon shapefile extending beyond the boundaries of the Witjira National Park

2. Selected where 'AssetName' = 'Witjira National Park' from GM_ARC_AssetList_poly (1eaf5c9c-7122-4169-b68c-61cc3439feb6)

3. Erased polygon from step 1 with polygons defined by step

Dataset Citation

Bioregional Assessment Programme (2015) Cartographic Mask for Witjira National Park. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/7bf39e61-f5b2-4feb-b34f-2b48ed2a8f75.

Dataset Ancestors

• Derived From Asset database for the Arckaringa subregion on 16 April 2015

• Derived From Geofabric Surface Network - V2.1

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

• Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

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

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

• Derived From Asset database for the Arckaringa subregion on 18 March 2015

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Water Management Areas 141007

• Derived From South Australian Wetlands - Groundwater Dependent Ecosystems (GDE) Classification

• 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 Asset database for the Arckaringa subregion on 19 March 2015

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

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

• Derived From Great Artesian Basin and Laura Basin groundwater recharge areas

• Derived From Northern Territory Groundwater Management Units 20140630

• Derived From Northern Territory - Lake Eyre Basin - Wetlands Mapping - METADATA ONLY

• Derived From SA Department of Environment, Water and Natural Resources (DEWNR) Groundwater Licences 141007

• Derived From Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification

• Derived From Australia - Species of National Environmental Significance Database

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

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

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

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset contains the water-dependent asset list for the Clarence Morton bioregion. The Asset list is stored in an MS Access database. The Bioregional Assessments methodology (Barrett et al., 2013) defines a water-dependent asset as a spatially distinct, geo-referenced entity contained within a bioregion with characteristics having a defined cultural indigenous, economic or environmental value, and that can be linked directly or indirectly to a dependency on water quantity and/or quality.

Purpose

For creation of asset list for bioregional assessment.

Dataset History

Under the BA program, a first Pass Element List is developed for each defined bioregional assessment area. Water dependent assets identified by Catchment Management Authorities are supplemented with additional elements from datasets held by the Australian and state/territory governments.

The element list is a geospatial database that contains spatial data (GIS) files that provide the location for each individual element. The spatial data contains limited attribution but can be joined to the related source data table in the AssetList (joins based on ElementID). This ancillary data is the complete set of data supplied for the element by the source. For more information about field names, values and codes check documents on the _AnR_CurrentData\AnR_Documentation directory.

The elements in the database have been sourced through various means. Initially, data was provided by Catchment Management Authorities (CMA) having been funded by the Office of Water Science to identify elements within their catchment areas to use as an input to the Bioregional Assessment Programme. Further specific information about this process can be provided upon request.

Additional elements were identified by the Environmental Resources Information Network (ERIN, Australian Government Department of the Environment) based on various datasets held by the Australian Government and relevent state/territory governments and other custodians.

After compiling the element list, each element was classified by ERIN into a Group, Subgroup and Class using the classification scheme outlined in the Element and Receptor Methodology (Barrett et al., 2013). This is a preliminary classification and should be checked and updated by the BA project teams.

The dataset is comprised of elements that geographically intersect the Gloucester preliminary assessment extent (PAE). Spatial data have not been clipped to the assessment extent. In all cases, the full extent of features that extend beyond the boundaries of the assessment extent have been included. Spatial data have been incorporated into the database as provided. hence a single element may be represented by a single, discrete spatial unit (polygon, line or point), or a number of discrete spatial locations (e.g. as multipart polygons). ERIN has not combined like elements, nor exploded multipart elements.

It should be noted that a 'formal' water dependence test has not been undertaken on this data. It is assumed that the NRM regional offices have provided elements only if they are 'water dependent', and that features within the datasets provided by ERIN are also 'water dependent', or potentially water dependent.

The history of this dataset:

2/07/2014 Initial database.

15/08/2014 Initial database with new WSP assets

Lineage:

Compiled for the Office of Water Science (OWS) Bioregional Assessment Programme.

Refer to associated documentation: AnR data description 20130925.doc

Source datasets:

-Compiled for OWS Bioregional Assessments.

Refer to associated AnR data description documentation.

Source datasets:

Source code: WAIT: Northern Rivers, South East Queensland

Description: Assets identified by the CMAs/NRMs.

Custodian: Northern Rivers; South East Queensland; OWS/ERIN

Source code: DIWA

Description: Important wetlands from the Directory of Important Wetlands in Australia.

Custodian: Department of the Environment

Source code:Ramsar

Description: Wetlands of International Importance (Ramsar Wetlands)

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY for the data in VIC, SA, TAS and ACT

Source code: CAPAD

Description: Compiled information on protected areas from state and territory Governments and other protected area managers, published in the Collaborative Australian Protected Area Database (CAPAD). Identifies a number of protected areas and their components within the PAE.

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

Source code: GDEsub

Description: identifies components of ecosystems that may rely on the subsurface presence of groundwater (includes vegetation ecosystems) within the drainage basins occurring within the PAE.

Custodian: BoM

Notes: Likely to contain spatial overlaps with other assets

Source code: GDEsur

Description: identifies components of ecosystems that may rely on the surface expression of groundwater witihn the PAE.

Custodian: BoM

Notes: Likely to contain spatial overlaps with other assets

Source code: IBA

Description: Important Bird Areas (IBAs) are sites of global bird conservation importance. Each IBA meets one of four global criteria used by BirdLife International. Identifies 13 important bird areas occurring on floodplains and lakes within the PAE.

Custodian: Birds Australia

Threatened Ecological Communities

Source code: TEC

Description: Modelled "known" and "likely" distributions of threatened ecological communities listed under the Environment Protection and Biodiversity Conservation (EPBC) Act 1999. TECs within the CLM PAE

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

Threatened Species

Source code: Species

Description: Modelled "known" and "likely" distributions of species of national environmental significance as listed under the EPBC Act.

Custodian: Department of the Environment

Notes: species habitat distributions provided include only those areas that intersect the PAE, and do not represent the total known/likely distributions of each species. RESTRICTED FOR USE WITHIN DEPARMENT ONLY

Natural, Historic and Indigenous Heritage Places

A number of different lists andregisters exist of natural, historic and Indigenous heritage places throughout Australia. These are not comprehensive lists of heritage places, but lists of the places that have been identified and recorded up to the present time.

The following registers include places which may be considered as assets under the Bioregional Assessments Program:

Source code: CHL

Description:Commonwealth Heritage List. Natural, historic and Indigenous places of heritage significance owned or controlled by the Australian Government

Source code: NatHeritage

Description: National Heritage List. Natural, historic and Indigenous places that are of outstanding national heritage value to the Australian nation.

Source code: RNE

Description: Register of the National Estate

Archive of information about more than 13,000 places throughout Australia.

Custodian: Department of Environment

Source code: WHA

Description: World Heritage Areas

The World Heritage Convention aims to promote cooperation among nations to protect heritage from around the world that is of such outstanding universal value that its conservation is important for current and future generations.

Custodian: Department of Environment

Dataset Citation

Bioregional Assessment Programme (2014) Version 01 Asset list for Clarence Morton 10/3/2014 - ERIN ORIGINAL DATA. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/7315f0b8-b9a4-4393-a659-f114a77f5918.

Dataset Ancestors

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

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

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

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

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

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

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

• Derived From Australia - Species of National Environmental Significance Database

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

• Derived From [National Groundwater Dependent Ecosystems (GDE)

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 …Show full descriptionAbstract 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. The Gloucester Asset database v7 supersedes the previous version of the Asset database (Asset database for the Gloucester subregion on 12 September 2014, d0c21c5c-1b30-4aae-933a-71145b935cc6). The dataset described here was updated to include the Receptor data from Gloucester assessment team. The relevant tables of ReceptorList, tbl_Receptors_GDE, tbl_Receptors_SW, tbl_Receptors_GW and tbl_Receptors_SW_Catchment_Ref_Only and the spatial data of GM_GLO_ReceptorList_pt were added to this version. The location of Receptor is from GDA 94 datum. The Asset database is registered to the BA repository as an ESRI personal goedatabase (.mdb - doubling as a MS Access database) that can store, query, and manage non-spatial data while the spatial data is in a separated file geodatabase joined by AID/Element ID. 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 Gloucester 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 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 Gloucester subregion 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 "GLO_asset_database_doc_20150528.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 "GLO_asset_database_doc_0150528.doc" located in the zip file. Some of the source data used in the compilation of this dataset is restricted. Dataset History VersionID Date Notes 1.0 17/03/2014 Initial database 1.01 19/03/2014 Update classification using latest one 2.0 23/05/2014 Update asset area for some assets 3.0 9/07/2014 updated to include new assets and elements identified by community. 4.0 29/08/2014 updated assets and elements from WSP 5.0 4/09/2014 Table AssetDecisions is added to record decision making process and decisions about M2 are also added in table asset list 6.0 8/04/2015 195/9 Groundwater economic point elements/assets were added in while 81/7 Groundwater economic point elements/assets were turned off 7.0 28/05/2015 The receptor data ( tables: ReceptorList, tbl_Receptors_GDE, tbl_Receptors_GW, tbl_Receptors_SW and tbl_Receptors_SW_Catchment_Ref_Only; and spatial data: GM_GLO_ReceptorList_pt) is added Dataset Citation Bioregional Assessment Programme (2014) Asset database for the Gloucester subregion on 28 May 2015. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/5815842e-d271-4f73-9d1a-d15c90571330. Dataset Ancestors Derived From Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW) Derived From NSW Office of Water GW licence extract linked to spatial locations - GLO v5 UID elements 27032014 Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014 Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Asset database for the Gloucester subregion on 12 September 2014 Derived From National Groundwater Information System (NGIS) v1.1 Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved Derived From Geofabric Surface Cartography - V2.1 Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320 Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 - External Restricted 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 NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From Asset database for the Gloucester subregion on 8 April 2015 Derived From Gloucester - Additional assets from local councils Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From Asset database for the Gloucester subregion on 29 August 2014 Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From Groundwater Economic Assets GLO 20150326 Derived From NSW Office of Water Groundwater Licence Extract Gloucester - Oct 2013 Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From Freshwater Fish Biodiversity Hotspots Derived From NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014 Derived From Australia - Species of National Environmental Significance Database 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 Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

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 …Show full descriptionAbstract 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. The dataset consists of following shapefiles: a) Alluvium_Bores_with_Water_Source_Areas.shp: consists of all alluvial bores with information related to the water source they are extracting water from b) AssginingWaterSourcetoSWPoints.shp: consists of all surface water elements (extraction points) located within the zone of potential hydraulic change (ZoPHC) along with the water source areas c) GLO_GWMgmtzones.shp & SW_Elements_WaterSourceArea.shp: shapefiles representing the management and water source areas intersecting the Gloucester subregion d) GLO_ZoPHC_footprint_20161117.shp: shapefile representing the zone of potential hydraulic change. e) GM_GLO_ElementList_poly_SW.shp: shapefile repenting the surface water polygon elements in the Gloucester Assets database f) GM_GLO_ElementList_pt_GW.shp & GM_GLO_ElementList_pt_SW.shp: shapefiles representing the groundwater bores as well as surface water extraction points as in the Gloucester Assets database. g) GWBores_in_Gloucester_Basin_GMA.shp: & GWBores_in_New_England_Fold_Belt_Coast_GMA.shp: shapefile representing the bores located in the Gloucester basin and New England Fold Belt Coast groundwater management areas of the North Coast Fractured and Porous Rock Groundwater Sources 2016 Water Sharing Plan Dataset History This dataset consists of economic elements extracted from the Gloucester Assets Database and intersecting the zone of potential hydraulic changes for the Gloucester subregion. The shapefiles were created after created a set of queries defined in ARCGIS software for shapefile datasets in the GIS folder of the Assets database. The groundwater management areas intersecting the zone of potential hydraulic change were extracted from the Management zones dataset and a shapefile was created by developing a query in the ARCGIS software. Dataset Citation Bioregional Assessment Programme (2017) GLO Economic Elements ZoPHC v01. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/d4c64d64-6646-4188-a10f-9525743dd9c1. Dataset Ancestors Derived From Standard Instrument Local Environmental Plan (LEP) - Heritage (HER) (NSW) Derived From NSW Office of Water GW licence extract linked to spatial locations - GLO v5 UID elements 27032014 Derived From Asset database for the Gloucester subregion on 21 August 2015 Derived From Gloucester digitised coal mine boundaries Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014 Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014 Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Asset database for the Gloucester subregion on 12 September 2014 Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008 Derived From National Groundwater Information System (NGIS) v1.1 Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved Derived From Asset database for the Gloucester subregion on 29 October 2015 Derived From Geofabric Surface Cartography - V2.1 Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320 Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 - External Restricted Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From EIS Gloucester Coal 2010 Derived From Report for Director Generals Requirement Rocky Hill Project 2012 Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From Asset database for the Gloucester subregion on 12 February 2016 Derived From Asset database for the Gloucester subregion on 28 May 2015 Derived From NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014 Derived From EIS for Rocky Hill Coal Project 2013 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From Asset database for the Gloucester subregion on 8 April 2015 Derived From Gloucester - Additional assets from local councils Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From Asset database for the Gloucester subregion on 29 August 2014 Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From Groundwater Modelling Report for Stratford Coal Mine Derived From National Groundwater Management Zones BOM 20150730 Derived From Groundwater Economic Assets GLO 20150326 Derived From NSW Office of Water Groundwater Licence Extract Gloucester - Oct 2013 Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From Freshwater Fish Biodiversity Hotspots Derived From NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014 Derived From Australia - Species of National Environmental Significance Database 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 GLO Receptors 20150828 Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release) Derived From Asset database for the Gloucester subregion on 16 September 2015

Abstract

This 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 derived from the MBC Asset database for the Maranoa-Balonne-Condamine subregion on the 5 February 2016 data sets, which have been 'split' (unioned to generate tiles) by the 1500m Assessment Units vector 'box' polygons. Important note: ONLY the assets registered for analysis in the MBC bioregional assessment are included in this dataset. The unregistered assets held in the AssetList in the parent Asset Database are not included here. Also note that it is the Elements (i.e. the individual spatial features that make up each asset) stored in the Asset database that have been split.

The purpose is to retain the spatial resolution of the asset database's spatial data yet provide a unique identifier at the groundwater model spatial resolution (i.e. 1500m) via the Assessment Unit ID. This data structure will enable highly flexible queries to be run that will support the Assessment team to produce results relevant to a wide range of analysis questions, particularly those that relate assets with groundwater model results. The unique ID for each Element is stored (ElementID) and a unique ID for each part of each element is stored in both the AUID (text) and au1500_id (integer) fields. Coordinate System is Australian Albers GDA94 EPSG: 3577

Purpose

The purpose is to retain the spatial resolution of the asset database's spatial data yet provide a unique identifier at the groundwater model spatial resolution (i.e. 1500m) via the Assessment Unit ID. This data structure will enable highly flexible queries to be run that will support the Assessment team to produce results relevant to a wide range of analysis questions, particularly those that relate assets with groundwater model results.

Dataset History

This dataset is derived from the MBC Asset database for the Maranoa-Balonne-Condamine subregion on the 5 February 2016 data sets, which have been 'split' (unioned to generate tiles) by the 1500m Assessment Units vector 'box' polygons. Important note: ONLY the assets registered for analysis in the MBC bioregional assessment are included in this dataset. The unregistered assets held in the AssetList in the parent Asset Database are not included here. ALso note that it is the Elements (i.e. the individual spatial features that make up each asset) stored in the Asset database that have been split.

The purpose is to retain the spatial resolution of the asset database's spatial data yet provide a unique identifier at the groundwater model spatial resolution (i.e. 1500m) via the Assessment Unit ID. This data structure will enable highly flexible queries to be run that will support the Assessment team to produce results relevant to a wide range of analysis questions, particularly those that relate assets with groundwater model results. The unique ID for each Element is stored (ElementID) and a unique ID for each part of each element is stored in both the AUID (text) and au1500_id (integer) fields. Coordinate System is Australian Albers GDA94 EPSG: 3577

Dataset Citation

Bioregional Assessment Programme (2016) MBC Assets 20160205 for FAE split by Assessment Units 20160818 v01. Bioregional Assessment Derived Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/4347ec59-da92-40da-9be3-a64246cb8592.

Dataset Ancestors

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

• Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases

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

• Derived From NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014)

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

• Derived From Asset database for the Maranoa-Balonne-Condamine subregion on 26 June 2015

• Derived From MBC Assessment Units 20160714 v02

• Derived From Queensland wetland data version 3 - wetland points

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

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

• Derived From Preliminary Assessment Extent (PAE) for the Maranoa-Balonne-Condamine subregion - v03

• Derived From Environmental Asset Database - Commonwealth Environmental Water Office

• Derived From Bioregional Assessment areas v06

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

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

• Derived From National Groundwater Dependent Ecosystems (GDE) Atlas

• Derived From Bioregional Assessment areas v04

• Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports

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

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

• Derived From Queensland groundwater dependent ecosystems

• Derived From Bioregional Assessment areas v02

• Derived From Gippsland Project boundary

• Derived From Queensland Water Commission, Underground Water Impact Report for the Surat Cumulative Management Area, 2012 - Report and Data

• Derived From South East Queensland GDE (draft)

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Surface water Preliminary Assessment Extent (PAE) for the Maranoa Balonne Condamine (MBC) subregion - v03

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

• Derived From NSW Office of Water Surface Water Offtakes - NIC v1 20131024

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

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

• Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014

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

• 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 MBC Groundwater model layer boundaries

• Derived From Geofabric Surface Cartography - V2.1

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From