The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

The company which provided the dataset is the world leader in manufacturing of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The current revenue of the company is estimated to be on the order of tens of billions and they sell products and parts via a worldwide dealer network. The company sells more than 3 million products and 700,000 parts in more than 20 countries around the world every year. They operate with more than 3,000 suppliers and 3,000 dealerships and their logistics operations alone are worth more than 60 million dollars per year. The dataset provided is one example of supply chain problem for one product of the company - a medium size excavator. In the current dataset, the number of dealers, production facilities and shipping ports is the same as in the original problem; it is only the demand figures, the production capacities, the transportation times and costs and the sale prices that have been randomly generated. The figures have been randomly generated in an interval between 0 and an upper limit which is a random increase over the maximum value in the original data, according to a negative exponential distribution.

The turnover of the mining and quarrying industry in Germany increased by 10.4 billion euros (+69.49 percent) in 2022. With 25.4 billion euros, the turnover thereby reached its highest value in the observed period. For the purpose of Eurstat Dataset NACE Rev.2 Section K turnover comprises the totals invoiced by the observation unit during the reference period, which corresponds to market sales of goods or services supplied to third parties.Find more statistics on the mining and quarrying industry in Germany with key insights such as number of enterprises, production value, personnel costs, and number of employees.

The global big data and business analytics (BDA) market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 215.7 billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around 85 billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. For example, connected IoT devices are projected to generate 79.4 ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around 16.5 billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.

Data Analytics Market Valuation – 2024-2031

Data Analytics Market was valued at USD 68.83 Billion in 2024 and is projected to reach USD 482.73 Billion by 2031, growing at a CAGR of 30.41% from 2024 to 2031.

Data Analytics Market Drivers

Data Explosion: The proliferation of digital devices and the internet has led to an exponential increase in data generation. Businesses are increasingly recognizing the value of harnessing this data to gain competitive insights.

Advancements in Technology: Advancements in data storage, processing power, and analytics tools have made it easier and more cost-effective for organizations to analyze large datasets.

Increased Business Demand: Businesses across various industries are seeking data-driven insights to improve decision-making, optimize operations, and enhance customer experiences.

Data Analytics Market Restraints

Data Quality and Integrity: Ensuring the accuracy, completeness, and consistency of data is crucial for effective analytics. Poor data quality can hinder insights and lead to erroneous conclusions.

Data Privacy and Security Concerns: As organizations collect and analyze sensitive data, concerns about data privacy and security are becoming increasingly important. Breaches can have significant financial and reputational consequences.

India GVA: Industry: Mining & Quarrying data was reported at 4,185,169.739 INR mn in 2019. This records an increase from the previous number of 3,510,577.647 INR mn for 2018. India GVA: Industry: Mining & Quarrying data is updated yearly, averaging 2,610,353.690 INR mn from Mar 2005 (Median) to 2019, with 15 observations. The data reached an all-time high of 4,185,169.739 INR mn in 2019 and a record low of 937,590.000 INR mn in 2005. India GVA: Industry: Mining & Quarrying data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.AB003: NAS 2011-2012: Gross Value Added: by Industry: Current Price.

Abstract This dataset was derived by the Bioregional Assessment Programme. The parent datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce …Show full descriptionAbstract This dataset was derived by the Bioregional Assessment Programme. The parent datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this dataset are described in the History field in this metadata statement. Springs datasets showing drawdown for Alluvium, Clematis and Permian. Dataset History This dataset was created using: BA_ALL\ALL\DATA\Ecology\Springs\QLD_SpringsDatabase_Oct2016 26030523-4eb6-4abb-8932-bee72f954303 as a base and selecting those springs inside the zone of potential hydrological change. These datasets were then joined with the drawdown grids (see lineage) to add the value into the tables. Dataset Citation Bioregional Assessment Programme (2017) Springs GAL drawdown. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/368c46ac-4261-4e08-b5eb-ad232bd0da1d. Dataset Ancestors Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204 Derived From Galilee Drawdown Rasters Derived From Galilee Groundwater Model, Hydrogeological Formation Extents v01 Derived From GAL SW Quantiles Interpolation for IMIA Database Derived From SA Petroleum Production License Applications Derived From Galilee tributary catchments Derived From Springs of the Galilee subregion - Points Geometry Derived From GAL Aquifer Formation Extents v01 Derived From Galilee model HRV receptors gdb Derived From SA Mineral and/or Opal Exploration Licenses Derived From Environmental Asset Database - Commonwealth Environmental Water Office Derived From Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale Derived From GAL Assessment Units 1000m 20160522 v01 Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Stream gauges for the Galilee surface water model calibration Derived From Phanerozoic OZ SEEBASE v2 GIS Derived From SA Mining and Production Tenement Applications Derived From Key Environmental Assets - KEA - of the Murray Darling Basin Derived From Bioregional Assessment areas v03 Derived From SA Petroleum Exploration Licences/Permits Derived From South Australia Mineral Leases Production, 6 March 2013 Derived From BA ALL Assessment Units 1000m 'super set' 20160516_v01 Derived From Kevin's Corner Project Environmental Impact Statement Derived From Galilee Hydrological Response Variable (HRV) model Derived From Galilee surface water modelling nodes Derived From Bioregional Assessment areas v01 Derived From Bioregional Assessment areas v02 Derived From QLD Current Exploration Permits for Minerals (EPM) in Queensland 6/3/2013 Derived From Victoria - Seamless Geology 2014 Derived From Galilee groundwater numerical modelling AEM models Derived From GAL Surface Water Reaches for Risk and Impact Analysis 20180803 Derived From Matters of State environmental significance (version 4.1), Queensland Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From Bioregional Assessment areas v06 Derived From GAL Aquifer Formation Extents v02 Derived From Queensland wetland data version 3 - wetland areas. Derived From GAL Eco HRV SW Quantiles Interpolation for IMIA Database Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From China Stone Coal Project initial advice statement Derived From NSW Catchment Management Authority Boundaries 20130917 Derived From South Australia Mineral Production Claims, 6 March 2013 Derived From Onsite and offsite mine infrastructure for the Carmichael Coal Mine and Rail Project, Adani Mining Pty Ltd 2012 Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014 Derived From National Surface Water sites Hydstra Derived From GAL Surface water nodes for Risk and Impact Database 20170804 Derived From BA ALL Assessment Units 1000m Reference 20160516_v01 Derived From Geofabric Surface Cartography - V2.1 Derived From Galilee gauge contributing area Derived From QLD Mining Claim 6/3/2013 Derived From Geofabric Surface Cartography - V2.1.1 Derived From Australia - Species of National Environmental Significance Database Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From GAL GW Quantile Interpolation 20161013 Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release) Derived From Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases Derived From South Australia SA - Regional - NRM Board - Water Asset Information Tool - WAIT - databases Derived From Multi-resolution Valley Bottom Flatness MrVBF at three second resolution CSIRO 20000211 Derived From National Groundwater Information System (NGIS) v1.1 Derived From Birds Australia - Important Bird Areas (IBA) 2009 Derived From Asset database for the Galilee subregion on 04 January 2016 Derived From Gippsland Project boundary Derived From Natural Resource Management (NRM) Regions 2010 Derived From Galilee drawdown grids Derived From QLD Current Authorities to Prospect for Petroleum (ATP), 6/3/2013 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 Geological Provinces - Full Extent Derived From Landscape classification of the Galilee preliminary assessment extent Derived From GAL262 mine footprints Derived From QLD Mining Lease 6/3/2013 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From QLD DNRM Licence Locations Linked to Cadastre Plan - v1 - 20140307 Derived From Asset database for the Galilee subregion on 22 May 2015 Derived From Queensland groundwater dependent ecosystems Derived From Node catchment for Galilee surface water modelling Derived From Australia World Heritage Areas Derived From Stream gauges within Galilee surface water modelling domain Derived From Surface Geology of Australia, 1:2 500 000 scale, 2012 edition Derived From SA Mineral and/or Opal Exploration Licence Applications Derived From Asset list for Galilee - 20140605 Derived From Landscape classification of the Galilee preliminary assessment extent Derived From Three-dimensional visualisation of the Great Artesian Basin - GABWRA Derived From QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808 Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From SA Petroleum Exploration Licence/Permit Applications Derived From GAL Groundwater modelling nodes for Risk and Impact Analysis 20170616 Derived From Impact and Risk Analysis Database Documentation Derived From GAL Impact and Risk Analysis Database v01 Derived From Asset database for the Galilee subregion on 2 December 2014 Derived From GAL Landscape Class Reclassification for impact and risk analysis 20170601 Derived From GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008 Derived From Bioregional Assessment areas v04 Derived From Seven coal mines included in Galilee surface water modelling Derived From Asset database for the Galilee subregion on 10 September 2015 Derived From GAL_IMIA234_FootprintsIMIA_20170525 Derived From QLD Exploration and Production Tenements (20140728) Derived From QLD Current Exploration Permits for Coal 6/3/2013 Derived From QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014 Derived From Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports Derived From GEODATA TOPO 250K Series 3 Derived From Permanent and Semi-Permanent Waterbodies of the Lake Eyre Basin (Queensland and South Australia) (DRAFT) Derived From China First Galilee Coal Project Environmental Impact Assessment Derived From QLD Petroleum Leases 6/3/2013 Derived From Alpha Coal Project Environmental Impact Statement Derived From Queensland petroleum exploration data - QPED Derived From GAL ZOPHC Master layer 20170804 Derived From Bioregional Assessment areas v05 Derived From GAL AWRA-L Model v01 Derived From QLD Springs Dataset 2016 Derived From Great Artesian Basin and Laura Basin groundwater recharge areas Derived From South Australia Petroleum Production Licenses Derived From Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld Derived From Galilee Surface Water Preliminary Assessment Extent (PAE) v02 Derived From Lake Eyre Basin Surface water Potential Assessment Extents v01 Derived From GAL Analysis boundaries 20161005 v01 Derived From QLD Mineral Development License 6/3/2013 Derived From QLD Springs Dataset 2016 v02 Derived From Queensland Geological Digital Data - Detailed state extent, regional. November 2012 Derived From QLD DNRM Surface Water Licences linked to Spatial Locations - v1 20140313

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.

An asset is an entity having value to the community and, for bioregional assessment purposes, is associated with a bioregion. A bioregion is a geographic land area within which coal seam gas and or coal mining developments are, or could, take place and for which bioregional assessments are conducted. A water-dependent asset has a particular meaning for bioregional assessments; it is an asset potentially impacted by changes in the groundwater and or surface water regime due to coal resource development. Some ecological assets are solely dependent on incident rainfall and will not be considered as water dependent if evidence does not support a linkage to groundwater or surface water. The water-dependent asset register is a simple and authoritative listing of the assets within the preliminary assessment extent (PAE) that are potentially subject to water-related impacts. A PAE is the geographic area associated with a bioregion or subregion in which the potential water-related impact of coal resource development on assets is assessed. The compiling of the asset register is the first step to identifying potentially impacted assets, which is the goal of the overall bioregional assessment.

Information about entities having value to the community and that might be affected by waterrelated impacts of coal seam gas (CSG) and large coal mining development is collated from a range of sources into a table of assets within the asset database. There are three types of assets: (i) ecological, (ii) economic and (iii) sociocultural. Many ecological and sociocultural assets were obtained from state and national sources.

Generating the water-dependent asset register requires the development of a comprehensive georeferenced relational database known throughout this submethodology as the asset database. The asset database holds all assets compiled for a BA and the register lists the subset of assets that meet the water dependency criteria, as defined in Section 4. As there may be many assets within each asset class for each bioregion or subregion, each asset must have a unique identifier (AssetID). 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' and must also have a unique identifier (ElementID). An element is a spatially discrete unit and is recorded individually in the element tables.

Assets can be made up of one or more elements. Elements are linked to assets in the database via the 'Element_to_asset' table (see Appendix Table A.2 in CompilingWaterDependentAssets.pdf in AnR_Documentation folder). An example of the relationship between assets and elements is given in Figure 5 which shows that the asset (Coolibah-Black Box Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions, listed within the EPBC Act as a threatened ecological community) is composed of 3453 elements.

Please note 58 assets were merged to an associated asset which resulted in their AID data being removed from the asset table. The assets which were merged had been previously provided with a classification which did not match the classification in MO2.In addition 121 Groundwater element and 49 Surface water elements were added to the Namoi asset list. 151 of 170 new elements were grouped to 14 new assets while 19 of 170 new elements were merged to associated assets.

Purpose

For creation of asset list for bioregional assessment

Dataset History

Lineage:

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

Refer to associated documentation: AnR data description 20130925.doc

Source datasets:

Source code: WAIT: Namoi; Hunter-Central Rivers; Central West; Border Rivers-Gwydir; Western

Description: Assets identified by the CMAs/NRMs.

Custodian: WAIT: Namoi; Hunter-Central Rivers; Central West; Border Rivers-Gwydir; Western; OWS/ERIN

Source code: Economic RegRiv; Economic GWMP (NSW Groundwater Macro Plans) and Economic WSP

Detailed descriptions of economic spatial data layers are found in documentation accompanying the economic assets on the BA data repository

Source code: DIWA

Description: Important wetlands from the "Directory of Important Wetlands in Australia" that intersect the Preliminary Assessment Extent (PAE).

Custodian: Department of the Environment

Source code: EAD

Description: (Water) Environmental Asset Database (EAD), based on descriptions from the CEWH.

Custodian: Department of the Environment

Source code: GAB_GW_Recharge

Description: Identifies areas of groundwater recharge of the Great Artesian Basin.

Custodian: Geoscience Australia

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) 2010, which identifies protected areas from this dataset that intersect the PAE.

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARTMENT ONLY

Source code: GDEsub

Description: identifies components of ecosystems that may rely on the subsurface presence of groundwater (includes vegetation ecosystems).

Custodian: Bureau of Meteorology

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.

Custodian: Bureau of Meteorology

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 important bird areas (Bundurra-Barrabas and Pilliga) occurring within the PAE.

Custodian: Birds Australia

Source code: KEA_streams

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin.

Custodian: MDBA

Source code: KEA_waterbody_AH

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin.

Custodian: MDBA

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 Namoi PAE include:

• Brigalow Brigalow (Acacia harpophylla dominant and co-dominant)

• Black Box Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions

• Grey Box (Eucalyptus microcarpa) Grassy Woodlands and Derived Native Grasslands of South-eastern Australia

• Natural grasslands on basalt and fine-textured alluvial plains of northern New South Wales and southern Queensland

• Semi-evergreen vine thickets of the Brigalow Belt (North and South) and Nandewar Bioregions

• Weeping Myall Woodlands

• White Box-Yellow Box-Blakely's Red Gum Grassy Woodland and Derived Native Grassland

• Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

Source code: Species

Description: This dataset describes modelled "known" and "likely" distributions of species of national environmental significance as listed under the Environment Protection and Biodiversity Conservation (EPBC) Act 1999, including from categories: threatened, migratory and marine species, cetaceans and species in other countries covered by international agreements that Australia is a party to.

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

Source code: Ramsar

Description: Under the Ramsar Criteria, wetlands should be selected for the Ramsar List on account of their international significance in terms of the biodiversity and uniqueness of their ecology, botany, zoology, limnology or hydrology. In addition, the Criteria indicates that in the first instance, wetlands of international importance to waterbirds at any season should be included on the Ramsar List.

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

----- WITHIN DEPARMENT ONLY -----

Natural, Historic and Indigenous Heritage Places A number of different lists and registers 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: 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

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.

As outlined in the Methodology for bioregional assessments of the impacts of coal seam gas and coal mining development on water resources (the BA methodology; Barrett et al., 2013), the development of a water-dependent asset register is integral to undertaking a bioregional assessment.

An asset is an entity having value to the community and, for bioregional assessment purposes, is associated with a bioregion. A bioregion is a geographic land area within which coal seam gas and or coal mining developments are, or could, take place and for which bioregional assessments are conducted. A water-dependent asset has a particular meaning for bioregional assessments; it is an asset potentially impacted by changes in the groundwater and or surface water regime due to coal resource development. Some ecological assets are solely dependent on incident rainfall and will not be considered as water dependent if evidence does not support a linkage to groundwater or surface water. The water-dependent asset register is a simple and authoritative listing of the assets within the preliminary assessment extent (PAE) that are potentially subject to water-related impacts. A PAE is the geographic area associated with a bioregion or subregion in which the potential water-related impact of coal resource development on assets is assessed. The compiling of the asset register is the first step to identifying potentially impacted assets, which is the goal of the overall bioregional assessment.

Information about entities having value to the community and that might be affected by waterrelated impacts of coal seam gas (CSG) and large coal mining development is collated from a range of sources into a table of assets within the asset database. There are three types of assets: (i) ecological, (ii) economic and (iii) sociocultural. Many ecological and sociocultural assets were obtained from state and national sources.

Generating the water-dependent asset register requires the development of a comprehensive georeferenced relational database known throughout this submethodology as the asset database. The asset database holds all assets compiled for a BA and the register lists the subset of assets that meet the water dependency criteria, as defined in Section 4. As there may be many assets within each asset class for each bioregion or subregion, each asset must have a unique identifier (AssetID). 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' and must also have a unique identifier (ElementID). An element is a spatially discrete unit and is recorded individually in the element tables.

Assets can be made up of one or more elements. Elements are linked to assets in the database via the 'Element_to_asset' table (see Appendix Table A.2 in CompilingWaterDependentAssets.pdf in AnR_Documentation folder). An example of the relationship between assets and elements is given in Figure 5 which shows that the asset (Coolibah-Black Box

Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions, listed within the EPBC Act as a threatened ecological community) is composed of 3453 elements.

Purpose

For creation of asset list for bioregional assessment

Dataset History

The history of this dataset:

20/09/2013 Initial database

1/10/2013 primary water dependence for species data and primary quality assessment for all assets

10/04/2014 change AssetID to ElementID in all tables and GIS data

10/04/2014 add vulnerability table to the database

10/04/2014 Put the updated documents from CMA to The directory in WRON

23/04/2014 "Updated universally changing ""AssetID"" to ""ElementID"" and changing the name of the ""AssetList"" table to ""ElementList"". A table to include Queensland threatened species data has also been added, and ElementIDs added to the ""ElementList"" table."

23/06/2014 updated to include new assets and elements identified by community.

Lineage:

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

Refer to associated documentation: AnR data description 20130925.doc

Source datasets:

Source code: WAIT: Burdekin; Desert Channels; Fitzroy; QMDC; SA; Southern Gulf; ERIN; QMDC_ERIN; SWQLD_ERIN

Description: Assets identified by the CMAs/NRMs. In datasets labelled "ERIN" some work was undertaken by ERIN to develop or add to spatial datasets provided/not provided by CMAs/NRM bodies.

Custodian: Burdekin; Desert Channels; Fitzroy; QMDC; Southern Gulf; SA Government; OWS/ERIN

Source code: DIWA

Description: Important wetlands from the "Directory of Important Wetlands in Australia" that intersect the Preliminary Assessment Extent (PAE).

Custodian: Department of the Environment

Source code: EAD

Description: (Water) Environmental Asset Database (EAD), based on descriptions from the CEWH. Identifies specific features of the Namoi and Barwon Rivers and fringing wetlands, and Lake Goran.

Custodian: Department of the Environment

Source code: GAB_GW_Recharge

Description: Identifies areas of groundwater recharge of the Great Artesian Basin.

Custodian: Geoscience Australia

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) 2010, which identifies protected areas from this dataset that intersect the PAE.

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARTMENT ONLY

Source code: GDEsub

Description: identifies components of ecosystems that may rely on the subsurface presence of groundwater (includes vegetation ecosystems).

Custodian: Bureau of Meteorology

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.

Custodian: Bureau of Meteorology

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 important bird areas (Bundurra-Barrabas and Pilliga) occurring within the PAE.

Custodian: Birds Australia

Source code: KEA_streams

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin. The data represents KEAs occurring within the Namoi PAE, mainly associated with the Namoi, Barwon and Mooki Rivers and Currabubula Creek.

Custodian: MDBA

Source code: KEA_waterbody_AH

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin. The data represents KEAs occurring within the Namoi PAE associated with Lake Goran.

Custodian: MDBA

Threatened Ecological Communities

Source code: TEC

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

• Brigalow (Acacia harpophylla dominant and co-dominant)

• Coolibah - Black Box Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions

• Natural Grasslands of the Queensland Central Highlands and the northern Fitzroy Basin

• Semi-evergreen vine thickets of the Brigalow Belt (North and South) and Nandewar Bioregions

• The community of native species dependent on natural discharge of groundwater from the Great Artesian Basin

• Weeping Myall Woodlands

• White Box-Yellow Box-Blakely''s Red Gum Grassy Woodland and Derived Native Grassland

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

WITHIN DEPARMENT ONLY -----

Natural, Historic and Indigenous Heritage Places A number of different lists and registers 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: 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

Use Limitations Limited for use only for the Office of Water Science Bioregional Assessments Program. Refer to source dataset metadata as referenced in the AnR data description document provided.

Access

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.

As outlined in the Methodology for bioregional assessments of the impacts of coal seam gas and coal mining development on water resources (the BA methodology; Barrett et al., 2013), the development of a water-dependent asset register is integral to undertaking a bioregional assessment.

An asset is an entity having value to the community and, for bioregional assessment purposes, is associated with a bioregion. A bioregion is a geographic land area within which coal seam gas and or coal mining developments are, or could, take place and for which bioregional assessments are conducted. A water-dependent asset has a particular meaning for bioregional assessments; it is an asset potentially impacted by changes in the groundwater and or surface water regime due to coal resource development. Some ecological assets are solely dependent on incident rainfall and will not be considered as water dependent if evidence does not support a linkage to groundwater or surface water. The water-dependent asset register is a simple and authoritative listing of the assets within the preliminary assessment extent (PAE) that are potentially subject to water-related impacts. A PAE is the geographic area associated with a bioregion or subregion in which the potential water-related impact of coal resource development on assets is assessed. The compiling of the asset register is the first step to identifying potentially impacted assets, which is the goal of the overall bioregional assessment.

Information about entities having value to the community and that might be affected by waterrelated impacts of coal seam gas (CSG) and large coal mining development is collated from a range of sources into a table of assets within the asset database. There are three types of assets: (i) ecological, (ii) economic and (iii) sociocultural. Many ecological and sociocultural assets were obtained from state and national sources.

Generating the water-dependent asset register requires the development of a comprehensive georeferenced relational database known throughout this submethodology as the asset database. The asset database holds all assets compiled for a BA and the register lists the subset of assets that meet the water dependency criteria, as defined in Section 4. As there may be many assets within each asset class for each bioregion or subregion, each asset must have a unique identifier (AssetID). 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' and must also have a unique identifier (ElementID). An element is a spatially discrete unit and is recorded individually in the element tables.

Assets can be made up of one or more elements. Elements are linked to assets in the database via the 'Element_to_asset' table (see Appendix Table A.2 in CompilingWaterDependentAssets.pdf in AnR_Documentation folder). An example of the relationship between assets and elements is given in Figure 5 which shows that the asset (Coolibah-Black Box Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions, listed within the EPBC Act as a threatened ecological community) is composed of 3453 elements.

Purpose

For creation of asset list for bioregional assessment

Dataset History

The history of this dataset:

20/09/2013 Initial database

1/10/2013 primary water dependence for species data and primary quality assessment for all assets

10/04/2014 change AssetID to ElementID in all tables and GIS data

10/04/2014 add vulnerability table to the database

10/04/2014 Put the updated documents from CMA to The directory in WRON

23/04/2014 "Updated universally changing ""AssetID"" to ""ElementID"" and changing the name of the ""AssetList"" table to ""ElementList"". A table to include Queensland threatened species data has also been added, and ElementIDs added to the ""ElementList"" table."

23/06/2014 updated to include new assets and elements identified by community.

Lineage:

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

Refer to associated documentation: AnR data description 20130925.doc

Source datasets:

Source code: WAIT: Burdekin; Desert Channels; Fitzroy; QMDC; SA; Southern Gulf; ERIN; QMDC_ERIN; SWQLD_ERIN

Description: Assets identified by the CMAs/NRMs. In datasets labelled "ERIN" some work was undertaken by ERIN to develop or add to spatial datasets provided/not provided by CMAs/NRM bodies.

Custodian: Burdekin; Desert Channels; Fitzroy; QMDC; Southern Gulf; SA Government; OWS/ERIN

Source code: DIWA

Description: Important wetlands from the "Directory of Important Wetlands in Australia" that intersect the Preliminary Assessment Extent (PAE).

Custodian: Department of the Environment

Source code: EAD

Description: (Water) Environmental Asset Database (EAD), based on descriptions from the CEWH. Identifies specific features of the Namoi and Barwon Rivers and fringing wetlands, and Lake Goran.

Custodian: Department of the Environment

Source code: GAB_GW_Recharge

Description: Identifies areas of groundwater recharge of the Great Artesian Basin.

Custodian: Geoscience Australia

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) 2010, which identifies protected areas from this dataset that intersect the PAE.

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARTMENT ONLY

Source code: GDEsub

Description: identifies components of ecosystems that may rely on the subsurface presence of groundwater (includes vegetation ecosystems).

Custodian: Bureau of Meteorology

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.

Custodian: Bureau of Meteorology

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 important bird areas (Bundurra-Barrabas and Pilliga) occurring within the PAE.

Custodian: Birds Australia

Source code: KEA_streams

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin. The data represents KEAs occurring within the Namoi PAE, mainly associated with the Namoi, Barwon and Mooki Rivers and Currabubula Creek.

Custodian: MDBA

Source code: KEA_waterbody_AH

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin. The data represents KEAs occurring within the Namoi PAE associated with Lake Goran.

Custodian: MDBA

Threatened Ecological Communities

Source code: TEC

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

• Brigalow (Acacia harpophylla dominant and co-dominant)

• Coolibah - Black Box Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions

• Natural Grasslands of the Queensland Central Highlands and the northern Fitzroy Basin

• Semi-evergreen vine thickets of the Brigalow Belt (North and South) and Nandewar Bioregions

• The community of native species dependent on natural discharge of groundwater from the Great Artesian Basin

• Weeping Myall Woodlands

• White Box-Yellow Box-Blakely''s Red Gum Grassy Woodland and Derived Native Grassland

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

WITHIN DEPARMENT ONLY -----

Natural, Historic and Indigenous Heritage Places A number of different lists and registers 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: 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

Use Limitations Limited for use only for the Office of Water Science Bioregional Assessments Program. Refer to source dataset metadata as referenced in the AnR data description document

Abstract

The dataset was derived by the Bioregional Assessment Programme. The parent 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.

As outlined in the Methodology for bioregional assessments of the impacts of coal seam gas and coal mining development on water resources (the BA methodology; Barrett et al., 2013), the development of a water-dependent asset register is integral to undertaking a bioregional

assessment.

An asset is an entity having value to the community and, for bioregional assessment purposes, is associated with a bioregion. A bioregion is a geographic land area within which coal seam gas and or coal mining developments are, or could, take place and for which bioregional assessments are conducted. A water-dependent asset has a particular meaning for bioregional assessments; it is an asset potentially impacted by changes in the groundwater regime, surface water regime, or both, due to coal resource development. Some ecological assets are solely dependent on incident rainfall and will not be considered as water dependent if evidence does not support a linkage to groundwater or surface water. The water-dependent asset register is a simple and authoritative listing of the assets within the preliminary assessment extent (PAE) that are potentially subject to water-related impacts. A PAE is the geographic area associated with a bioregion or subregion in which the potential water-related impact of coal resource development on assets is assessed. The compiling of the asset register is the first step to identifying potentially impacted assets, which is the goal of the overall bioregional assessment.

Information about entities having value to the community and that might be affected by water related impacts of coal seam gas (CSG) and large coal mining development is collated from a range of sources into a table of assets within the asset database. There are three types of assets: (i) ecological, (ii) economic and (iii) sociocultural. Many ecological and sociocultural assets were obtained from state and national sources.

Generating the water-dependent asset register requires the development of a comprehensive georeferenced relational database known throughout this submethodology as the asset database. The asset database holds all assets compiled for a BA and the register lists the subset of assets that meet the water dependency criteria, as defined in Section 4. As there may be many assets within each asset class for each bioregion or subregion, each asset must have a unique identifier (AssetID). 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' and must also have a unique identifier (ElementID). An element is a spatially discrete unit and is recorded individually in the element tables.

Assets can be made up of one or more elements. Elements are linked to assets in the database via the 'Element_to_asset' table (see Appendix Table A.2 in CompilingWaterDependentAssets.pdf in AnR_Documentation folder). An example of the relationship between assets and elements is given in Figure 5 which shows that the asset (Coolibah-Black Box Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions, listed within the EPBC Act as a threatened ecological community) is composed of 3453 elements.

Purpose

For creation of asset list for bioregional assessment

Dataset History

The history of this dataset:

23/12/2013 Initial database

3/02/2014 removed the space at the beginning of Unnamed)_South Australian Arid Lands_66329 and (Unnamed)_South Australian Arid Lands_57834

3/02/2014 updated 207 Names in table AssetList using AssetName in table NRM_Water_Asset for those recodes from source WAIT_Burdekin

20/02/2014 The database is not changed. About 36 self intersect polygons in spatial data were fixed. New shapefile name for polygon is Galilee_AssetList_geoPolygon20140220.shp

23/04/2014 Errors found after handover to CSIRO. Updated immediately to v3.0.

23/04/2014 "Updated universally changing ""AssetID"" to ""ElementID"" and changing the name of the ""AssetList"" table to ""ElementList"". A table to include Queensland threatened species data has also been added, and ElementIDs added to the ""ElementList"" table."

24/04/2014 Queensland threatened species data updated to new sequence of ElementIDs. New spatial data provided [NAME]

5/05/2014 It is generally ready except calcification and asset area

8/07/2014 Changes to asset names for grouping elements into assets

Lineage:

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

Refer to associated documentation: AnR data description 20130925.doc

Source datasets:

Source code: WAIT: Burdekin; Desert Channels; Fitzroy; QMDC; SA; Southern Gulf; ERIN; QMDC_ERIN; SWQLD_ERIN

Description: Assets identified by the CMAs/NRMs. In datasets labelled "ERIN" some work was undertaken by ERIN to develop or add to spatial datasets provided/not provided by CMAs/NRM bodies.

Custodian: Burdekin; Desert Channels; Fitzroy; QMDC; Southern Gulf; SA Government; OWS/ERIN

Source code: DIWA

Description: Important wetlands from the "Directory of Important Wetlands in Australia" that intersect the Preliminary Assessment Extent (PAE).

Custodian: Department of the Environment

Source code: EAD

Description: (Water) Environmental Asset Database (EAD), based on descriptions from the CEWH. Identifies specific features of the Namoi and Barwon Rivers and fringing wetlands, and Lake Goran.

Custodian: Department of the Environment

Source code: GAB_GW_Recharge

Description: Identifies areas of groundwater recharge of the Great Artesian Basin.

Custodian: Geoscience Australia

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) 2010, which identifies protected areas from this dataset that intersect the PAE.

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARTMENT ONLY

Source code: GDEsub

Description: identifies components of ecosystems that may rely on the subsurface presence of groundwater (includes vegetation ecosystems).

Custodian: Bureau of Meteorology

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.

Custodian: Bureau of Meteorology

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 important bird areas (Bundurra-Barrabas and Pilliga) occurring within the PAE.

Custodian: Birds Australia

Source code: KEA_streams

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin. The data represents KEAs occurring within the Namoi PAE, mainly associated with the Namoi, Barwon and Mooki Rivers and Currabubula Creek.

Custodian: MDBA

Source code: KEA_waterbody_AH

Description: Identifies the physical parts of the Murray-Darling River system which provide habitat for the plants, animals, fish, invertebrates and microbes and combine to make the ecosystems of the Murray-Darling Basin. The data represents KEAs occurring within the Namoi PAE associated with Lake Goran.

Custodian: MDBA

Threatened Ecological Communities

Source code: TEC

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

• Brigalow (Acacia harpophylla dominant and co-dominant)

• Coolibah - Black Box Woodlands of the Darling Riverine Plains and the Brigalow Belt South Bioregions

• Natural Grasslands of the Queensland Central Highlands and the northern Fitzroy Basin

• Semi-evergreen vine thickets of the Brigalow Belt (North and South) and Nandewar Bioregions

• The community of native species dependent on natural discharge of groundwater from the Great Artesian Basin

• Weeping Myall Woodlands

• White Box-Yellow Box-Blakely''s Red Gum Grassy Woodland and Derived Native Grassland

Custodian: Department of the Environment

Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY

WITHIN DEPARMENT ONLY -----

Natural, Historic and Indigenous Heritage Places A number of different lists and registers 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: 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

Abstract This dataset was derived by the Bioregional Assessment Programme. The parent datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce …Show full descriptionAbstract This dataset was derived by the Bioregional Assessment Programme. The parent 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. As outlined in the Methodology for bioregional assessments of the impacts of coal seam gas and coal mining development on water resources (the BA methodology; Barrett et al., 2013), the development of a water-dependent asset register is integral to undertaking a bioregional assessment. An asset is an entity having value to the community and, for bioregional assessment purposes, is associated with a bioregion. A bioregion is a geographic land area within which coal seam gas and or coal mining developments are, or could, take place and for which bioregional assessments are conducted. A water-dependent asset has a particular meaning for bioregional assessments; it is an asset potentially impacted by changes in the groundwater and or surface water regime due to coal resource development. Some ecological assets are solely dependent on incident rainfall and will not be considered as water dependent if evidence does not support a linkage to groundwater or surface water. The water-dependent asset register is a simple and authoritative listing of the assets within the preliminary assessment extent (PAE) that are potentially subject to water-related impacts. A PAE is the geographic area associated with a bioregion or subregion in which the potential water-related impact of coal resource development on assets is assessed. The compiling of the asset register is the first step to identifying potentially impacted assets, which is the goal of the overall bioregional assessment. Information about entities having value to the community and that might be affected by water related impacts of coal seam gas (CSG) and large coal mining development is collated from a range of sources into a table of assets within the asset database. There are three types of assets: (i) ecological, (ii) economic and (iii) sociocultural. Many ecological and sociocultural assets were obtained from state and national sources. Generating the water-dependent asset register requires the development of a comprehensive georeferenced relational database known throughout this submethodology as the asset database. The asset database holds all assets compiled for a BA and the register lists the subset of assets that meet the water dependency criteria, as defined in Section 4. As there may be many assets within each asset class for each bioregion or subregion, each asset must have a unique identifier (AID). 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' and must also have a unique identifier (ElementID). An element is a spatially discrete unit and is recorded individually in the element tables. Assets can be made up of one or more elements. Elements are linked to assets in the database via the 'Element_to_asset' table (see Appendix C in AnR_data_dictionary_GIP_20141210.doc). Purpose For creation of asset list for bioregional assessment Dataset History The history of this dataset: 10/12/2014 Initial database Lineage: Compiled for the Office of Water Science (OWS) Bioregional Assessment Programme. Refer to associated documentation: AnR_data_dictionary_GIP_20141210.doc Source datasets: Source code: WAIT: Victoria Description: Assets identified by the CMAs/NRMs and Victoria Government. Custodian: Victoria Government; OWS/ERIN Source code: DIWA Description: Important wetlands from the "Directory of Important Wetlands in Australia" that intersect the Preliminary Assessment Extent (PAE). Custodian: Department of the Environment 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) 2010, which identifies protected areas from this dataset that intersect the PAE. Custodian: Department of the Environment Notes: RESTRICTED FOR USE WITHIN DEPARTMENT ONLY Source code: GDEsub Description: identifies components of ecosystems that may rely on the subsurface presence of groundwater (includes vegetation ecosystems). Custodian: Bureau of Meteorology 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. Custodian: Bureau of Meteorology 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 important bird areas (Bundurra-Barrabas and Pilliga) occurring 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. Custodian: Department of the Environment Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY Source code: Ramsar Description: Wetlands of International Importance (Ramsar Wetlands) Under the Ramsar Criteria, wetlands should be selected for the Ramsar List on account of their international significance in terms of the biodiversity and uniqueness of their ecology, botany, zoology, limnology or hydrology. In addition, the Criteria indicates that in the first instance, wetlands of international importance to waterbirds at any season should be included on the Ramsar List. Custodian: Department of Environment Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY Source code: National EPBC Species List Description: Listed Threatened Species This dataset describes modelled "known" and "likely" distributions of species of national environmental significance as listed under the Environment Protection and Biodiversity Conservation (EPBC) Act 1999, including from categories: threatened, migratory and marine species, cetaceans and species in other countries covered by international agreements that Australia is a party to. Based on the Database of Species of National Environmental Significance. Notes: RESTRICTED FOR USE WITHIN DEPARMENT ONLY WITHIN DEPARMENT ONLY ----- Natural, Historic and Indigenous Heritage Places A number of different lists and registers 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: 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 Use Limitations Limited for use only for the Office of Water Science Bioregional Assessments Program. Refer to source dataset metadata as referenced in the AnR data description document provided. Access Contraints Limited for use only for the Office of Water Science Bioregional Assessments Program. Some source datasets used in the compilation of this asset list are confidential. Refer to source dataset metadata as referenced in the AnR data description document provided. Note: detailed descriptions of the following ecological spatial data layers are found in documentation accompanying the assets on the BA repository, rather than within this metadata. These ecological spatial data layers as follows: VIC_FFG_FAUNA (VIC state FFG species with EPBC species removed (VIC DEPI)), VIC_FFG_FLORA (VIC state FFG species with EPBC species removed (VIC DEPI)), VIC_GDE_EASTandWEST_GIP (East Gippsland Potential GDE 2013 and West Gippsland Potential GDE 2014 (VIC DEPI)), Vic_nv2005_evcbcs (VIC state listed Ecological Vegetation Communities 2005 (VIC DEPI)), VIC_VICADV_FAUNA (VIC state VICADV species with EPBC species removed (VIC DEPI)), VIC_VICADV_FLORA (VIC state VICADV species with EPBC species removed (VIC DEPI)). Note: detailed descriptions of economic spatial data layers are found in documentation accompanying the economic assets on the BA repository, rather than within this document. These economic spatial data layers as follows: ECON_GW_VIC_GMA (Economic Groundwater VIC Groundwater Management Area), ECON_SW_VIC_RegRiv (Economic Surface Water VIC Regulated River), ECON_SW_VIC_UnRegRiv (Economic Surface Water VIC Unregulated River), ECON_GW_VIC_WSPA (Economic Groundwater VIC Water Supply Protection Area) and VIC_DEPI_ECON_GW (VIC DEPI Economic Groundwater). Dataset Citation Bioregional Assessment Programme (2014) Gippsland Basin bioregion Asset List v01 - 20141210. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/112883f7-1440-4912-8fc3-1daf63e802cb. Dataset Ancestors Derived From Surface Water and Groundwater Entitlement Data with Volumes - DEPI Regs Cat6 Victoria 20141218

Bitcoin's blockchain size was close to reaching 5450 gigabytes in 2024, as the database saw exponential growth by nearly one gigabyte every few days. The Bitcoin blockchain contains a continuously growing and tamper-evident list of all Bitcoin transactions and records since its initial release in January 2009. Bitcoin has a set limit of 21 million coins, the last of which will be mined around 2140, according to a forecast made in 2017. Bitcoin mining: A somewhat uncharted world Despite interest in the topic, there are few accurate figures on how big Bitcoin mining is on a country-by-country basis. Bitcoin's design philosophy is at the heart of this. Created out of protest against governments and central banks, Bitcoin's blockchain effectively hides both the country of origin and the destination country within a (mining) transaction. Research involving IP addresses placed the United States as the world's most Bitcoin mining country in 2022 - but the source admits IP addresses can easily be manipulated using VPN. Note that mining figures are different from figures on Bitcoin trading: Africa and Latin America were more interested in buying and selling BTC than some of the world's developed economies. Bitcoin developments Bitcoin's trade volume slowed in the second quarter of 2023, after hitting a noticeable growth at the beginning of the year. The coin outperformed most of the market. Some attribute this to the announcement in June 203 that BlackRock filed for a Bitcoin ETF. This iShares Bitcoin Trust was to use Coinbase Custody as its custodian. Regulators in the United States had not yet approved any applications for spot ETFs on Bitcoin.

United States GDP: VA: PI: PI: Mining: Support Activities data was reported at 138.140 2005=100 in 2011. This records an increase from the previous number of 124.888 2005=100 for 2010. United States GDP: VA: PI: PI: Mining: Support Activities data is updated yearly, averaging 49.004 2005=100 from Dec 1977 (Median) to 2011, with 35 observations. The data reached an all-time high of 167.556 2005=100 in 2008 and a record low of 18.185 2005=100 in 1977. United States GDP: VA: PI: PI: Mining: Support Activities data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A119: NIPA 2009: GDP by Industry: Value Added: Price Index.

Australia GVA: 2018-19p: sa: QoQ: Mining: Exploration & Mining Support Services data was reported at 1.400 % in Jun 2021. This records an increase from the previous number of -1.700 % for Mar 2021. Australia GVA: 2018-19p: sa: QoQ: Mining: Exploration & Mining Support Services data is updated quarterly, averaging -0.700 % from Dec 1985 (Median) to Jun 2021, with 143 observations. The data reached an all-time high of 29.200 % in Mar 1990 and a record low of -27.900 % in Sep 1998. Australia GVA: 2018-19p: sa: QoQ: Mining: Exploration & Mining Support Services data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A226: SNA08: Gross Value Added: by Industry: Chain Linked: 2018-19 Price: Seasonally Adjusted: QoQ Percentage.

Australia GVA: 2021-22p: sa: Contribution to Growth: Mining: Exploration & Mining Support Services data was reported at 0.000 Index Point in Jun 2024. This stayed constant from the previous number of 0.000 Index Point for Mar 2024. Australia GVA: 2021-22p: sa: Contribution to Growth: Mining: Exploration & Mining Support Services data is updated quarterly, averaging 0.000 Index Point from Dec 1985 (Median) to Jun 2024, with 155 observations. The data reached an all-time high of 0.300 Index Point in Mar 1990 and a record low of -0.400 Index Point in Dec 1985. Australia GVA: 2021-22p: sa: Contribution to Growth: Mining: Exploration & Mining Support Services data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A239: SNA08: Gross Value Added: by Industry: Chain Linked: 2021-22 Price: Seasonally Adjusted: Contribution to Growth.

Australia GVA: sa: Mining data was reported at 41,356.000 AUD mn in Sep 2018. This records an increase from the previous number of 41,002.000 AUD mn for Jun 2018. Australia GVA: sa: Mining data is updated quarterly, averaging 25,247.000 AUD mn from Sep 2002 (Median) to Sep 2018, with 65 observations. The data reached an all-time high of 41,356.000 AUD mn in Sep 2018 and a record low of 8,216.000 AUD mn in Mar 2004. Australia GVA: sa: Mining data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A077: SNA08: Gross Value Added: by Industry: Current Price.

Lithuania LT: Foreign Direct Investment Income: Outward: USD: Total: Mining and Quarrying data was reported at 0.137 USD mn in 2020. This records an increase from the previous number of 0.034 USD mn for 2019. Lithuania LT: Foreign Direct Investment Income: Outward: USD: Total: Mining and Quarrying data is updated yearly, averaging 0.000 USD mn from Dec 2005 (Median) to 2020, with 12 observations. The data reached an all-time high of 0.767 USD mn in 2018 and a record low of -0.530 USD mn in 2017. Lithuania LT: Foreign Direct Investment Income: Outward: USD: Total: Mining and Quarrying data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Australia GVA: 2017-18p: Trend: Mining: Exploration & Mining Support Services data was reported at 2,074.000 AUD mn in Sep 2019. This records an increase from the previous number of 2,059.000 AUD mn for Jun 2019. Australia GVA: 2017-18p: Trend: Mining: Exploration & Mining Support Services data is updated quarterly, averaging 1,964.000 AUD mn from Sep 1985 (Median) to Sep 2019, with 137 observations. The data reached an all-time high of 3,359.000 AUD mn in Sep 2012 and a record low of 1,138.000 AUD mn in Jun 1991. Australia GVA: 2017-18p: Trend: Mining: Exploration & Mining Support Services data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A085: SNA08: Gross Value Added: by Industry: Chain Linked: 2017-18 Price.

Hungary Foreign Direct Investment Income: Outward: USD: Total: Extraction of Crude Petroleum and Natural Gas: Mining Support Service Activities data was reported at 77.382 USD mn in 2023. This records a decrease from the previous number of 101.562 USD mn for 2022. Hungary Foreign Direct Investment Income: Outward: USD: Total: Extraction of Crude Petroleum and Natural Gas: Mining Support Service Activities data is updated yearly, averaging 101.562 USD mn from Dec 2019 (Median) to 2023, with 5 observations. The data reached an all-time high of 192.827 USD mn in 2021 and a record low of 37.263 USD mn in 2020. Hungary Foreign Direct Investment Income: Outward: USD: Total: Extraction of Crude Petroleum and Natural Gas: Mining Support Service Activities data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Hungary – Table HU.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Nominal value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.