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Namoi dryland diffuse groundwater recharge
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\nThis dataset is the estimation of groundwater recharge in the Namoi. It is uses the chloride mass balance method in the consolidated rock area and an empirical relationship betwenn soils, land use and climate in the alluvial areas.\n\n## **Purpose** \n\nThis dataset provides a long term average recharge rate for input to the groundwater modelling.\n\n## **Dataset History** \n\nThis dataset is the estimation of groundwater recharge in the Namoi. It is uses the chloride mass balance method in the consolidated rock area and an empirical relationship betwenn soils, land use and climate in the alluvial areas. The methods used are described in NAM213\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) Namoi dryland diffuse groundwater recharge. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/858327d1-a558-4edc-9315-8779924f3632.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Surface Geology of Australia, 1:1 000 000 scale, 2012 edition](https://data.gov.au/data/dataset/8284767e-b5b1-4d8b-b8e6-b334fa972611)\n\n* **Derived From** [BOM, Australian Average Rainfall Data from 1961 to 1990](https://data.gov.au/data/dataset/fd91f2d4-2cc8-4d5d-9f67-8fe8af1e2676)\n\n* **Derived From** [Soil and Landscape Grid National Soil Attribute Maps - Clay 3 resolution - Release 1](https://data.gov.au/data/dataset/f8640540-4bb7-42ee-995a-219881e67705)\n\n* **Derived From** [Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)\n\n* **Derived From** [Australian 0.05º gridded chloride deposition v2](https://data.gov.au/data/dataset/c1649bd7-227f-41ff-9964-b55479bef640)\n\nNamoi dryland diffuse groundwater recharge - Data File<br/>
Arid Zone Rivers Flow Monitoring Sites - 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\nLocation of Arid Zone Rivers Flow Monitoring Sites. The ARIDFLO project was a multi- disciplinary research project into the environmental flow requirements of Australian arid zone rivers. The project collected biological and hydrological data from 2000 - 2003.\n\n## **Purpose** \n\nTo locate Arid Zone Rivers Flow Monitoring Sites.\n\n## **Dataset History** \n\nAs presented in Table 2-1 in Costelloe JF, Hudson PJ, Pritchard JC, Puckridge JT & Reid JRW (2004) ARIDFLO Scientific Report: Environmental Flow Requirements of Arid Zone Rivers with Particular Reference to the Lake Eyre Drainage Basin, School of Earth and Biological Sciences, University of Adelaide, Adelaide, Final Report to South Australian Department of Water, Land and Biodiversity Conservation and Commonwealth Department of Environment and Heritage.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Arid Zone Rivers Flow Monitoring Sites - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/6d8b1c05-3342-4708-b8c8-7fc7ffa99af4.Arid Zone Rivers Flow Monitoring Sites - ARC - Data File<br/>
Queensland Floodplain Assessment Overlay - Queensland Reconstruction Authority (QRA)
No full text## **Abstract** \n\nThis data 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 Queensland Floodplain Assessment Overlay (QFAO) represents a floodplain area within drainage sub-basins in Queensland. It has been developed for use by local governments as a potential flood hazard area. It represents an estimate of areas potentially at threat of inundation by flooding. The data has been developed through a process of drainage sub-basin analysis utilising data sources including 10 metre contours, historical flood records, vegetation and soils mapping and satellite imagery. This data represents an initial assessment and will be subject to refinement by respective Local Government Authorities.\n\n## **Dataset History** \n\nLineage statement:\n\nThe Queensland Floodplain Assessment Overlay has been captured by analysis and visual interpretation of a combination of datasets (listed below in Sources).\n\nProcess step:\n\n1. Identify and overview sub-basin with satellite imagery backdrop.2. Overlay ordered drainage and floodplain data.3. Analyse drainage lines within the basin to determine the drainage lines that are relevant. At a minimum drainage lines with order 1 and 2 are excluded unless known events have occurred.4. Having determined the approximate extent in terms of drainage line hierarchy, overlay the 10m contours, gauging stations and flood lines of actual events from 2011.5. Determine the approximate flood elevation at locations within the drainage basin using gauging station data and actual events, together with visual interpretation of the imagery and other layers.6. Delineate the extent of the floodplain by visually interpolating between known locations using the satellite imagery and contours as the guide.Flood extent line revised over the town of Mareeba in the Barron River Basin sub area on 17-10-2013.\n\nSource:\n\n1. 10m contours derived from 1 second SRTM (Shuttle Radar Topography), photogrammetry and LiDAR. In general, coverage of SRTM derived contours is west of the Great Dividing Range, Photogrammetrically derived contours coverage is over the Great Dividing Range and Cape York, LiDAR Contour coverage is the coastal fringe extending south of Cairns to the NSW border;2. Floodplain boundaries - derived by combination of Pre-clear Vegetation Mapping of Landzone 3 (Alluvium), Landzone 1 (Estuarine) and SALI Soil Flooding Limitation Mapping;3. Ordered Drainage (drainage lines);4. January 2011 Flood gauge readings and delineation of flooding events from aerial photography;5. 2009 SPOT satellite imagery;6. 2009 LandSAT satellite imagery.\n\n## **Dataset Citation** \n\nQueensland Department of Natural Resources and Mines (2013) Queensland Floodplain Assessment Overlay - Queensland Reconstruction Authority (QRA). Bioregional Assessment Source Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/ea785644-eff9-4ee2-9f1a-8dca1dde7ee5.Queensland Floodplain Assessment Overlay - Queensland Reconstruction Authority (QRA) - Data File<br/>
CLM - Bore allocations QLD v02
No full text## **Abstract** \n\nThe 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.\n\n\n\nThis dataset contains the allocation data for the Queensland part of the Clarence-Moreton Basin. The data were organized by geological formations. The data were sourced from the QLD state allocation database (GUID = 68bbd3fb-6e2a-4088-a3dd-55cc44c2f0d6). The data indicate that the Woogaroo Subgroup is being pumped most intensively. However, most bores in other major aquifers, such as the alluvium and Grafton Formation, have an allocation entry of zero in the state database. For example, 653 of 702 alluvial bores are assigned an allocation of zero in the database. One main reason for this is that no allocation is planned for most domestic and stock bores because they belong to the basic water right licence. Thus, this summary may not reflect the reality. Note that 'nominal entitlement per water year' was used instead of 'allocation' in the Queensland database. The rows with a zero entry have been removed in this version in order to create an allocation distribution map.\n\n## **Dataset History** \n\nThis dataset was compiled through the following process:\n\n\n\n1. Filter the data using the spatial extent of the Clarence-Moreton Basin.\n\n\n\n2. Organize records by aquifers.\n\n\n\n3. Remove the records with zero and empty entries.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2014) CLM - Bore allocations QLD v02. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/1992e8a9-4f09-4048-9725-7d03ed228751.\n\n## **Dataset Ancestors** \n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204](https://data.gov.au/data/dataset/fd59894f-06b0-4c6f-9029-488934cfa7ba)\n\n* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)\n\n* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)\n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014](https://data.gov.au/data/dataset/68bbd3fb-6e2a-4088-a3dd-55cc44c2f0d6)\n\n* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)\n\n* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)\n\n* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)\n\n* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)\n\n* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)\n\n* **Derived From** [Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)](https://data.gov.au/data/dataset/9a9284b6-eb45-4a13-97d0-91bf25f1187b)\n\n* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)\n\nCLM - Bore allocations QLD v02 - Data File<br/>
Average monthly and average annual evaporation data - 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\nMean monthly and mean annual evaporation grids.\n\nThe grids show evaporation values across Australia in the form of two-dimensional array data.\n\nThe mean data are based on all available stations with at least ten years of records between 1975 and 2005.\n\n## **Purpose** \n\nTo demonstrate distribution of evaporation values over Arckaringa subregion.\n\n## **Dataset History** \n\nGridded data were generated using the Barnes 2-D meteorological analysis. Approximately 270 stations were used in the analysis. All input station data underwent a high degree of quality control before analysis. Most of the stations used in the analysis have at least 10 years of records, with at least 80% complete data over the recorded period. The evaporation data that were used in producing the grids are from the Bureau of Meteorologys class A pan evaporimeters.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Average monthly and average annual evaporation data - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/1b2b7967-e011-44d2-b8f3-595d57fc8653.Average monthly and average annual evaporation data - ARC - Data File<br/>
JK Aquifer - South Australia and Northern Territory - 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\nThe extent of JK Aquifer SANT shapefile is one of a number of data files developed as part of the Australian Government funded research program entitled “Allocating Water and Maintaining Springs in the GAB”.\n\n## **Purpose** \n\nThe JK Aquifer in this instance represent all rocks interpreted and mapped as the stratigraphic units the Cadna-owie Formation (Knc) and the Algebuckina Sandstone (JK-a) as well as units mapped as a potentially being one of these formations (JK1).\n\n## **Dataset History** \n\nDigital copies of seismic lines, around the western margins of the Eromanga Basin, were loaded into a Geoquest workstation for interpretation. Due to the sparcity of lines, lack of suitable ties and large distances between data sets, picks were mostly done by eye. These picks are simple and can be considered correct in the broad sense. Converting the two way time data from the Geoquest interpretation proved too erratic to be useful. Seismic time data was imported from Geoquest to Petrosys mapping system. In Petrosys, bore tops and outcrop elevations were gridded and contoured. The resulting contour maps were examined for realism and consistency and anomalous tops and areas were reviewed. This was an ongoing process. Geological trends from the seismic were incorporated, also known and inferred fault planes. An extensive series of edits and checks was undertaken until a satisfactory geological map was accomplished. That is, the contours were geologically reasonable, matched all bore and other tie points, followed trends from seismic and merged with previous data based mapping logically and smoothly.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) JK Aquifer - South Australia and Northern Territory - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/cade91fd-571f-439a-8858-f1ab825c7bea.JK Aquifer - South Australia and Northern Territory - ARC - Data File<br/>
National Forest and Sparse Woody Vegetation Data (Version 3, 2018 Release)
No full textLandsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from 1988 to 2018. A forest is defined as woody vegetation with a minimum 20 per cent canopy cover, potentially reaching 2 metres high and a minimum area of 0.2 hectares. Sparse woody is defined as woody vegetation with a canopy cover between 5-19 per cent.\r\n\r\nThe three-class classification (forest, sparse woody and non-woody) supersedes the two class classification (forest and non-forest) from 2016. The new classification is produced using the same approach in terms of time series processing (conditional probability networks) as the two-class method, to detect woody vegetation cover. The three-class algorithm better encompasses the different types of woody vegetation across the Australian landscape.\r\nWoody vegetation extent v3_0 metadata_2018.pdf - National Forest and Sparse woody vegetation data metadata (Version 3.0 - 2018 supply)<br/>Forest cover - Preview dataset (WMS) - View the 2018 data in this dataset online via an online map or connect to WMS in your own viewer.<br/>ACT_Woody_Vegetation_1988_2013 - National Inventory tile SI56 (ACT region) woody vegetation data for the period from 1988 to 2013<br/>NSW_Woody_Vegetation_2014_2018 - Zip file contains National Inventory woody vegetation data for NSW for the years from 2014 to 2018<br/>NSW_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for NSW for the periods from 1988 to 2013<br/>NT_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for NT for the period from 2014 to 2018<br/>Qld_South_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for Qld (southern tiles) for the period from 2014 to 2018<br/>Qld_South_Woody_vegetation_1988_2013 - Contains National Inventory woody vegetation data for Qld (southern tiles) for the period from 1988 to 2013<br/>SA_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for South Australia for the period from 2014 to 2018<br/>SA_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for South Australia for the period from 1988 to 2013<br/>Tas_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for Tasmania for the period from 2014 to 2018<br/>Tas_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for Tasmania for the period from 1988 to 2013<br/>VIC_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for Victoria for the period from 2014 to 2018<br/>VIC_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for Victoria for the period from 1988 to 2013<br/>WA_Rangelands_Woody_Vegtation_2014_2018 - Contains National Inventory woody vegetation data for Western Australia (rangeland tiles) for the period from 2014 to 2018<br/>WA_South_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for Western Australia (southern tiles) for the period from 2014 to 2018<br/>WA_Rangelands_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for Western Australia (rangelands) for the period from 1988 to 2013<br/>WA_South_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for Western Australia (southern tile) for the period from 1988 to 2013<br/>NT_Central_Australia_Woody_Vegetation_1989_2006 - Contains National Inventory woody vegetation data for tiles - SF53 and SG53 covering parts of NT and SA for the period from 1989 to 2006<br/>Qld_North_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for Qld (northern tiles) for the period from 2014 to 2018<br/>Qld_North_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for Qld (northern tiles) for the period from 1988 to 2013<br/>Vegetation Data (GeoTIFF) - <br/>WA_North_Woody_Vegetation_2014_2018 - Contains National Inventory woody vegetation data for Western Australia (northern tiles) for the period from 2014 to 2018<br/>WA_North_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for Western Australia (northern tiles) for the period 1999 to 2013<br/>ACT_Woody_Vegetation_2014_2018 - National Inventory tile SI56 (ACT region) woody vegetation data for the period from 2014 to 2018<br/>NT_Woody_Vegetation_1988_2013 - Contains National Inventory woody vegetation data for NT for the period from 1988 to 2013<br/>
Adopt a soldier
No full textA collection of more than 700 photographs of World War I soldiers was digitised in 1999 as part of the Adopt-A-Soldier project.Adopt a soldier (CSV) - A collection of more than 700 photographs of World War I soldiers was digitised in 1999 as part of the Adopt-A-Soldier project. \r\n\r\nThe CSV contains limited bibliographic data from this collection including title of image; subject; description of resource and a link to the image on the SLWA website. \r\n\r\nTools used to create this dataset: \r\n<a href="http://www.aacr2.org/">AACR2 - Anglo American Cataloguing Rules</a>\r\n<a href="www.rdatoolkit.org/about">RDA - Resource Description and Access</a>\r\n<a href="http://www.loc.gov/aba/cataloging/subject/">LCSH - Library of Congress Subject Headings</a>\r\n<a href="http://marcedit.reeset.net/about-marcedit">MarcEdit</a><br/>Adopt a soldier (marcxml) - A collection of more than 700 photographs of World War I soldiers was digitised in 1999 as part of the Adopt-A-Soldier project. \r\n\r\nThis MARCXML file contains limited bibliographic data from this collection including title of image; subject; description of resource and a link to the image on the SLWA website. \r\n\r\nTools used to create this dataset: \r\n<ul>\r\n<li><a href="http://marcedit.reeset.net/about-marcedit">MarcEdit</a></li>\r\n<li><a href="http://www.loc.gov/standards/marcxml/">MARCXML</a></li>\r\n<li><a href="http://www.aacr2.org/">AACR2 - Anglo American Cataloguing Rules</a></li>\r\n<li><a href="www.rdatoolkit.org/about">RDA - Resource Description and Access</a></li>\r\n<li><a href="http://www.loc.gov/aba/cataloging/subject/">LCSH - Library of Congress Subject Headings</a></li>\r\n</ul>\r\n\r\nAbout MARCXML: \r\nThe Library of Congress' Network Development and MARC Standards Office is developing a framework for working with MARC data in a XML environment. This framework is intended to be flexible and extensible to allow users to work with MARC data in ways specific to their needs. The framework itself includes many components such as schemas, stylesheets, and software tools.\r\n\r\n<br/>Adopt a soldier (MODSXML) - A collection of more than 700 photographs of World War I soldiers was digitised in 1999 as part of the Adopt-A-Soldier project. \r\n\r\nThis MODSXML file contains limited bibliographic data from this collection including title of image; subject; description of resource and a link to the image on the SLWA website. \r\n\r\nTools used to create this dataset: \r\n<ul>\r\n<li><a href="http://marcedit.reeset.net/about-marcedit">MarcEdit</a></li>\r\n<li><a href="http://www.loc.gov/standards/mods/">MODSXML</a></li>\r\n<li><a href="http://www.aacr2.org/">AACR2 - Anglo American Cataloguing Rules</a></li>\r\n<li><a href="www.rdatoolkit.org/about">RDA - Resource Description and Access</a></li>\r\n<li><a href="http://www.loc.gov/aba/cataloging/subject/">LCSH - Library of Congress Subject Headings</a></li>\r\n</ul>\r\n\r\nAbout MODSXML: \r\nMetadata Object Description Schema (MODS) is a schema for a bibliographic element set that may be used for a variety of purposes, and particularly for library applications. The standard is maintained by the Network Development and MARC Standards Office of the Library of Congress with input from users.<br/>
Western Australian Newspapers 1830 -
No full textNearly 900 Western Australian newspaper titles are held by the State Library. These range from the manuscript newspapers of the early 1830s up to currently published titles.\r\n\r\nSelected Western Australian newspaper titles are available digitally through Trove, a service provided by National Library of Australia in partnership with state libraries, including the State Library of Western Australia. Currently, there are 110 Western Australian newspaper titles available.\r\n\r\nThis file includes the title, dates of publication, other titles (former and later) area of publication and some notes about individual publications.WA_newspapers_2016 - This CSV contains title, publication dates, area of publication and notes about former/later titles for Newspapers published in Western Australia from 1830 onwards to present day.\r\n\r\nThe data has been harvested and reformatted from the State Library of Western Australia Catalogue.<br/>
2021 SoE Biodiversity The 10 threatened species that have lost the largest proportion of potential habitat to land clearing, the 10 threatened species that have lost the most potential habitat in area
No full textThis data was used by the Department of Agriculture, Water and Environment to produce Figure 30 in the Biodiversity chapter of Australia State of the Environment 20212021 SoE BIO 043ab - <br/>