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Density of Conservation Rated Species Birds - ARC
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\nEach grid cell indicates the density of significant species surveyed within and can include multiple records of the same or different species, at the same or a nearby location, or on one or more occasion.\n\n## **Purpose** \n\nTo indicate the density of significant species surveyed within each grid cell.\n\n## **Dataset History** \n\nDataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Arckaringa subregion.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Density of Conservation Rated Species Birds - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/94815093-14bd-4cd1-971b-88c2ab793d89.Density of Conservation Rated Species Birds - ARC - Data File<br/>
Arckaringa Basin Overlying Structure Surface Connectivity - ARC
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\nSummarises the contact relationships in respect to the potential hydrogeological interactions between the hydrostratigraphic units in the Arckaringa Basin with those found in overlying basins.\n\n## **Purpose** \n\nTo identify relationships between overlying hydrostratigraphic units in the Arckaringa Basin.\n\n## **Dataset History** \n\nThis file was created after comparing the following structure surface model files; Extent_Mt_Toondna_V3.shp, Extent_Stuart_Range_V3.shp, Extent_Boorthanna_V3.shp, base_geology_data_set.gdb\\Extent_of_GAB_Aquifer, Extent_Eromanga_SANT.shp.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Arckaringa Basin Overlying Structure Surface Connectivity - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/c9e47c3b-75b7-4f9d-9530-4bb3aaaa4c46.Arckaringa Basin Overlying Structure Surface Connectivity - ARC - Data File<br/>
Namoi Water quality time series for selected stations
No full text## **Abstract** \n\nThis dataset and its metadata were supplied to the Bioregional Assessments Programme by the NSW Office of Water and is presented here as originally supplied. The dataset includes daily water quality parameters time series for selected gauging stations within the Namoi subregion. Data includes, electrical conductivity, total suspended solids and temperature.\n\n\n\nGaps in data records\n\n\n\nGaps in data records are more to occur likely during extreme events, particularly for gauging stations, where the data is automatically audited and potentially erroneous data is prevented from being displayed (Unreported data).\n\n\n\nData validation\n\n\n\nThe Office of Water is endeavouring to validate data as quickly as possible. Our performance indicator aims for data to be validated is within 100 days.\n\n \n\nWith respect to use of data:\n\n\n\nUnvalidated data (Quality Code 130) has not been rigorously assessed and the data is quality coded to indentify this. These data should be used with care as they may change after validation. These data should only be used by persons who are familiar with the characteristics of streamflow information.\n\nValidated data are data that has been assessed and is the best available quality at the time, however the data should always be interpreted taking into account the quality codes that have been applied.\n\n\n\nHydrologic advice should be sought to assist with any interpretation.\n\n\n\nFor tables and codes refer to: http://realtimedata.water.nsw.gov.au/\n\n## **Purpose** \n\nTo show examples of water quality parameters for selected stations.\n\n## **Dataset History** \n\nNo history statement was provided with the dataset.\n\n## **Dataset Citation** \n\nNSW Office of Water (2015) Namoi Water quality time series for selected stations. Bioregional Assessment Source Dataset. Viewed 02 May 2016, http://data.bioregionalassessments.gov.au/dataset/8b11a0d6-5f97-4e17-8cd1-75bb647b321a.Namoi Water quality time series for selected stations - Data File<br/>
Namoi NSW Office of Water groundwater EC (sampled post 1970)
No full text## **Abstract** \n\nThe 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.\n\n\n\nThe aim of this data set was to be able to map the salinity (EC) of groundwater bores in the Namoi sub-region.\n\nThis has been clipped to the Namoi sub-region but not the Namoi PAE. The data set was clipped to post-1970 to avoid potentially imprecise values. \n\n\n\nThe data set is an extract of all groundwater quality measurements from groundwater bores that fell within the data management acquisition area as provided by BA to NSW Office of Water. The salinity (EC) was categorised according to the groundwater use categories and aggregated into the following categories: 'Drinking' (up to 1500 uS/cm), 'irrigation' (1500 uS/cm - 7999 uS/cm), 'livestock' (8000 uS/cm - 19999 uS/cm) and '>20,000 uS/cm'.\n\n## **Purpose** \n\nThis data set was derived to complete the water quality section of Product 1.5 for the Namoi Bioregional Assessment\n\n## **Dataset History** \n\nThe data set is an extract of all groundwater quality measurements from groundwater bores that fell within the data management acquisition area as provided by BA to NSW Office of Water.\n\n\n\nThis has been clipped to the Namoi sub-region but not the Namoi PAE. Data (EC) pre-1970 was deleted from the original data set to avoid potentially imprecise values. \n\n\n\nThe salinity (EC) was categorised according to the groundwater use categories and aggregated into the following categories: 'Drinking' (up to 1500 uS/cm), 'irrigation' (1500 uS/cm - 7999 uS/cm), 'livestock' (8000 uS/cm - 19999 uS/cm) and '>20,000 uS/cm'.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Namoi NSW Office of Water groundwater EC (sampled post 1970). Bioregional Assessment Derived Dataset. Viewed 02 May 2016, http://data.bioregionalassessments.gov.au/dataset/b5dd0f26-1afa-4a86-8c41-0ed56f86843e.\n\n## **Dataset Ancestors** \n\n* **Derived From** [NoW Namoi Water Quality - groundwater](https://data.gov.au/data/dataset/0a7879bb-53d3-46c8-95e6-74dd05b3c161)\n\nNamoi NSW Office of Water groundwater EC (sampled post 1970) - Data File<br/>
Namoi Great Artesian Basin groundwater chemistry
No full text## **Abstract** \n\nThe 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. \n\n\n\nThe aim of this data set was to calculate maximum, minimum and average values for a range of hydrochemistry parameters used in the 1.5 groundwater quality report for the Namoi sub-region.\n\n\n\nThis has been clipped to the Namoi sub-region but not the Namoi PAE.\n\n## **Purpose** \n\nThis data set was derived to complete the water quality section of Product 1.5 for the Namoi Bioregional Assessment\n\n## **Dataset History** \n\nThis data set is derived from the National Collaborative Framework Hydrochemical Characterisation Project Surat Basin Hydrochemistry Spreadsheets. This dataset contains groundwater chemistry data for the Surat Basin as compiled for the report: Ransley, T., Somerville, P., Tan, K.P., Feitz, A., Cook, S., Yates, G., Schoning, G., Caruana, L., Sundaram, S., and Wallace, L. 2014. Groundwater Hydrochemical Characterisation of the Surat Region and Laura Basin - Queensland. Record 2014/xx. Geoscience Australia: Canberra.\n\n\n\nThe aim of this data set was to calculate maximum, minimum and average values for a range of hydrochemistry parameters used in the 1.5 groundwater quality report for the Namoi sub-region.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Namoi Great Artesian Basin groundwater chemistry. Bioregional Assessment Derived Dataset. Viewed 02 May 2016, http://data.bioregionalassessments.gov.au/dataset/0c811dba-a23f-4616-afc6-93520134c7fb.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Geoscience Australia, National Collaborative Framework Hydrochemical Characterisation Project - Surat Basin Hydrochemistry Spreadsheets](https://data.gov.au/data/dataset/8e5cade2-c95a-45ec-9e6e-39b136d2b6d6)\n\nNamoi Great Artesian Basin groundwater chemistry - Data File<br/>
Data for river stage interpolation in the CLM groundwater model
No full text## **Abstract** \n\nThe 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. \n\n\n\nThe perennial reaches of the Richmond river network were explicitly simulated using the MOFLOW River Package. Long-term average river stages for the steady state model were interpolated from measurements obtained at 12 gauge sites located within the model domain. Transient river stages at the 12 gauges were derived from rating curves (Look_up_tables) based on historical records and the runoff component of the AWRA-L model outputs (AWRA_discharge). The dataset was used to calculate the long-term average river stages at the 12 gauge sites and also the look-up tables to fit transient river stages.\n\n## **Dataset History** \n\n1. Rating curves and look up tables were compiled using the monitoring data from the NSW Office of Water (see Lineage). \n\n2. Runoff data were generated by AWRA-L with calibration to available stream flow data in the study area.\n\n3. Calculate the future (2012 - 2102) transient river stages at the selected 12 gauges by substituting runoff data into the rating curves or look up tables.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Data for river stage interpolation in the CLM groundwater model. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/c486f991-fc71-44c5-974f-85913ce82faf.\n\n## **Dataset Ancestors** \n\n* **Derived From** [CLM - AWRA Calibration Gauges SubCatchments](https://data.gov.au/data/dataset/af6476a5-02e7-4916-8151-504896729ce6)\n\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\n\n* **Derived From** [CLM - Streamflow unified NSW](https://data.gov.au/data/dataset/1e848ee6-4f79-469d-90c9-34596828b364)\n\n* **Derived From** [CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901](https://data.gov.au/data/dataset/a4b5b711-57c4-4b02-bd8b-a05d7379f319)\n\n* **Derived From** [CLM16swg Surface water gauging station data within the Clarence Moreton Basin](https://data.gov.au/data/dataset/1e4cdb84-10cf-4772-91fc-820688dc9aef)\n\n* **Derived From** [CLM - NSW River Gauge pdf documents.](https://data.gov.au/data/dataset/ffc17844-006c-40e8-adcd-53e75efb530f)\n\n* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)\n\n* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)\n\n* **Derived From** [CLM AWRA model](https://data.gov.au/data/dataset/abfefbbf-4cc3-4b05-a4ea-1a79e916e72b)\n\n* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)\n\nData for river stage interpolation in the CLM groundwater model - Data File<br/>
Surat cumulative management area
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\nThe dataset reflects the spatial extent of the Surat Cumulative Management Area. The area was declared under the Water Act 2000 to aid in identifying and managing overlapping underground water impacts incurred from multiple petroleum tenures.\n\n## **Purpose** \n\nThe Surat Cumulative Management Area was declared under the Water Act 2000 to aid in the assessment and management of overlapping underground water impacts from multiple petroleum tenures, on which activities such as coal seam gas (CSG) operate.The declaration of the Surat CMA enables the assessment of future impacts using a regional modelling approach and the development of management responses, such as monitoring programs, that are relevant to the potential cumulative impacts.It will also enable responsibilities to be assigned, through the DERM approved underground water impact report (produced by the Queensland Water Commission (QWC)), to each petroleum tenure holder in the area for monitoring, bore and baseline assessments, and negotiating make good arrangements.\n\n## **Dataset History** \n\nSelected 'Blocks' as defined by the Petroleum and Gas Act 1923, were used to determine the Surat Cumulative Management Area. As the boundaries of blocks were based upon Parallels and Meridians derived from the Australian Geocentric Datum 1966, The AGD66 National Grid Transformation was used as the grid transformation using software, GDAy 2.1 (QLD Government, NRM) to convert to the Geocentric Datum of Australia 1994. Latitudes and Longitudes (decimal degrees) were then rounded to four decimal places.\n\n## **Dataset Citation** \n\nDepartment of Environment and Heritage Protection (2011) Surat cumulative management area. Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/595d5055-d59d-43fa-975c-6de340f2e510.Surat cumulative management area - Data File<br/>
Gloucester surface water quality analysis
No full text## **Abstract** \n\nThis dataset was derived from data provided by the NSW Department of Water (NOW). You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. \n\nThis dataset includes daily variation  of electrical conductivity (EC) for selected stream gauges in the Gloucester subregion. The dataset is an excel spreadsheet containing daily EC data extracted from Streamflow gauging data supplied by NSW Office of Water. It also contains the charts of time series variations in EC at the three locations which appear in the context report.\n\n## **Dataset History** \n\nData were extracted from water quality information for selected gauges supplied by the NSW Office of Water (NOW). Data are plotted in graphs for the selected gauges in the context report.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (XXXX) Gloucester surface water quality analysis. Bioregional Assessment Derived Dataset. Viewed 14 June 2016, http://data.bioregionalassessments.gov.au/dataset/6cf0ff4e-e695-4881-8e83-2fe1d4f3350d.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Gloucester Surface Water Discharge & Quality extract v1 060314](https://data.gov.au/data/dataset/5915baad-51c9-4637-9461-88e88426a981)\n\nGloucester surface water quality analysis - Data File<br/>
Geological Provinces - Full Extent
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\nThe Australian Geological Provinces Database contains descriptions and spatial extents of the fundamental geological \n\nelements of the Australian continent and immediate surrounds. Captured province types include sedimentary basins, \n\ntectonic provinces such as cratons and orogens, igneous provinces, and metallogenic provinces. Spatial data has \n\nbeen captured largely at approximately 1:1M scale for best use at between 1:2M to 1:5M scale\n\n\n\nWhere possible, provinces have been attributed with their age, contained lithostratigraphic units, relationships \n\nto other provinces, and geological history. The geological definition of some provinces, in particular certain \n\nsedimentary basins and orogens, is contentious. While every effort has been made to achieve a consensus \n\ninterpretation of each province, scientific debate may still occur about the nature and extent of some provinces.\n\n\n\nThe total 2D spatial extent of most provinces in the database has been captured (ie, the full extent of a province \n\nunder any overlying cover). The extent of outcrop of some provinces has also been captured. Where possible, the \n\nfull extent outlines of provinces have been attributed with information about the source, accuracy, and observation \n\nmethod of those lines.\n\n\n\nFeature Classes\n\n\n\nProvinceFullExtent - polygons showing the full 2D spatial extent of a province. This includes non-outcropping \n\nregions of a province that may be concealed by regolith or other overlying provinces. The ProvinceFullExtent\n\nfeature class has two related tables, linked through relationship classes:\n\n\n\n- ProvinceRelations - this table lists relationships between provinces (eg, the Surat Basin overlies the \n\nBowen Basin)\n\n- ProvinceStratigraphy - this table list the stratigraphic units contained within a province. Full details of \n\neach stratigraphic unit are available at http://dbforms.ga.gov.au/www/geodx.strat_units.int\n\n\n\nProvinceOutcrop - polygons showing the outcropping extent of a province. Note that not all provinces have this \n\ndata available.\n\n\n\nProvinceFullExtentBdy - lines overlying the margins of province full extent polygons showing the nature of contacts \n\nbetween provinces, data source, and spatial accuracy. Note that not all provinces have this data available.\n\n## **Dataset History** \n\nThe spatial data (polygons and lines) was compiled typically at or around 1:1 million scale from a wide range of published surface geology maps, bedrock or basement geology maps, borehole data, and geophysical imagery. Where province boundaries crossed jurisdictional borders, Geoscience Australia worked with State and Territory geological agencies to achieve an agreed spatial extent. Descriptive attribute data was compiled from authoritative published literature wherever possible, and names of these references are supplied with the data. Not all the data in this edition of the dataset (2013.01) has undergone rigorous quality control. All province descriptions in this edition of the dataset contain an indication of whether the data has been checked or not.\n\n\n\nFurther information can be found at http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_c3fac1d5-48c1-624e-e044-00144fdd4fa6/Australian+Geological+Provinces%2C+2013.01+edition\n\n## **Dataset Citation** \n\nGeoscience Australia (2013) Geological Provinces - Full Extent. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad.Geological Provinces - Full Extent - Data File<br/>
Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\nThis dataset is the most current national compilation of catchment scale land use data for Australia (CLUM), as at March 2014. It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. It has been compiled from vector land use datasets collected as part of state and territory mapping programs through the Australian Collaborative Land Use and Management Program (ACLUMP). Catchment scale land use data was produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field. The date of mapping (1997 to 2012) and scale of mapping (1:25 000 to 1:250 000) vary, reflecting the source data capture date and scale. This information is provided in a supporting polygon dataset.\n\n\n\nThe CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies). Land use is classified according to the Australian Land Use and Management (ALUM) Classification version 7, a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use.\n\n\n\nThe operational scales of catchment scale mapping vary according to the intensity of land use activities and landscape context. Scales range from 1:10 000 and 1:25 000 for irrigated and peri-urban areas, to 1:100 000 for broadacre cropping regions and 1:250 000 for the semi-arid and arid pastoral zone. The date of mapping generally reflects the intensity of land use. The most current mapping occurs in intensive agricultural areas; older mapping generally occurs in the semi-arid and pastoral zones.The primary classes of land use in the ALUM Classification are: \n\n\n\nConservation and natural environments-land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present; \n\nProduction from relatively natural environments-land used mainly for primary production with limited change to the native vegetation; \n\nProduction from dryland agriculture and plantations-land used mainly for primary production based on dryland farming systems; \n\nProduction from irrigated agriculture and plantations-land used mostly for primary production based on irrigated farming;\n\nIntensive uses-land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses;\n\nWater-water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use).\n\nThe following areas have been updated since the November 2012 release: the entire state of Victoria; Queensland natural resource management regions Border Rivers-Maranoa, Condamine, South East Queensland (part), and South West Queensland.\n\n## **Purpose** \n\nLand use information is critical to developing sustainable long-term solutions for natural resource management, and is used to underpin investment decisions. Users include local government, catchment authorities, emergency services, quarantine and pest management authorities, industry and community groups. Landscape processes involving soils and water generally operate at catchment scale. Land use information at catchment scale therefore has an important role to play in developing effective solutions to Australia's natural resource management issues.\n\n## **Dataset History** \n\nLineage:\n\nABARES has produced this raster dataset from vector catchment scale land use data provided by state and territory agencies, as follows: Land Use: New South Wales (2009); Land Use Mapping of the Northern Territory 2008 (LUMP 2008); Land use mapping - Queensland current (January 2014); Land Use South Australia 2008; Tasmanian Summer 2009/2010 Land Use; Victorian Land Use Information System (VLUIS) 2010 version 4; Land Use in Western Australia, Version 5, (1997); and, Land Use in Western Australia, v7 (2008). Links to land use mapping datasets and metadata are available at the ACLUMP data download page at http://www.daff.gov.au/abares/aclump/pages/land-use/data-download.aspx State and territory vector catchment scale land use data were produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field, as outlined in the document 'Guidelines for land use mapping in Australia: principles, procedures and definitions, Edition 4'. Specifically, the attributes adhere to the ALUM classification, version 7. For Victoria, ABARES converted the VLUIS vector data to the ALUM classification, based on an agreed method using Valuer General Victoria land use codes, land cover and land tenure information. This method has been updated since the previous release. All contributing polygon datasets were gridded by ABARES on the ALUM code and mosaiced to minimise resampling errors. NODATA voids in Sydney, Adelaide and parts of the Australian Capital Territory were filled with Australian Bureau of Statistics Mesh blocks land use attributes with modifications based on: 1:250 000 scale topographic data for built up areas from GEODATA TOPO 250K Series 3 (Geoscience Australia 2006); land tenure data from Tenure of Australia's Forests (ABARES 2008); and, native and plantation forest data from Forests of Australia (ABARES 2008). All other NODATA voids were filled using data from Land Use of Australia, Version 4, 2005/2006 (ABARES 2010).\n\n\n\nLand use mapped should be regarded as a REPRESENTATION of land use only. The CLUM data shows a single dominant land use for each area mapped, even if multiple land uses occur within that area. The CLUM data is produced from datasets compiled for various dates from 1997 to 2012. The CLUM data is produced from datasets compiled at various scales from 1:25 000 to 1:2 500 000\n\n## **Dataset Citation** \n\nAustralian Bureau of Agricultural and Resource Economics and Sciences (2014) Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826.Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014 - Data File<br/>