AndreaBozzo/ceres-open-data-index huggingface dataset:
Arckaringa subregion preliminary assessment extent (PAE) surface water components

## **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.



Area of impact for the Arckaringa sub basin with the Lake Eyre Basin Bioregional Area. This area is taken as surface water features (derived from GA's 250k stream and lake data) which are down stream, with direct connection to the sub basin.



This PAE does not include springs, bores or groundwater features.

## **Dataset History** 

This layer was adapted from the ARC PAE to ensure all areas were within PAE and comply with information produced by SA government and includes Lake Eyre.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Arckaringa subregion preliminary assessment extent (PAE) surface water components. Bioregional Assessment Derived Dataset. Viewed 07 April 2016, http://data.bioregionalassessments.gov.au/dataset/a4ed705d-6769-4062-aa2f-454f67329f17.

## **Dataset Ancestors** 

* **Derived From** [Geofabric Surface Catchments - V2.1](https://data.gov.au/data/dataset/ea1b6f6c-e8a3-4c78-a463-044c89857fc0)

* **Derived From** [Preliminary Assessment Extent (PAE) Arckaringa subregion v03](https://data.gov.au/data/dataset/1a27370f-c2c4-48dd-9b7b-d034dd6fee33)



Tags: Arckaringa subregion, Australia, environment, inlandWaters
Organization: Bioregional Assessment Program
CLM - Richmond river basalt Electrical Conductivity v01

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from NSW Office of Water Groundwater Quality extract 28_nov_2013 data provided by the NSW Office of Water. 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.

## **Purpose** 

This dataset shows the electrical conductivity of basalt groundwaters within the Richmond River basin. The purpose of this dataset is to highlight the spatial variability of electrical conductivity as a representation of salinity.

## **Dataset History** 

This dataset was created by selecting only those groundwater quality records from the source dataset for the bores within the Richmond River catchment that are screened within the basalt.



This dataset only includes the electrical conductivity, a representation of salinity, and the spatial locations. Electrical conductivity has not been recorded for all bores within the NSW groundwater database, and this dataset therefore consist on fewer records.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) CLM - Richmond river basalt Electrical Conductivity v01. Bioregional Assessment Derived Dataset. Viewed 07 April 2016, http://data.bioregionalassessments.gov.au/dataset/e6457df0-71f9-4139-bd6e-d16558f3d3d7.

## **Dataset Ancestors** 

* **Derived From** [NSW Office of Water Groundwater Quality extract 28_nov_2013](https://data.gov.au/data/dataset/74da836a-7b97-4278-9034-c9a259a34fbb)



Tags: Clarence-Moreton bioregion, geoscientificInformation
Organization: Bioregional Assessment Program
Petroleum Production Tenements, Licences, Production (Petroleum)

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.



Location of all current Production Licences issued under the Petroleum and Geothermal Energy Act 2000 (the P&GE Act supersedes the Petroleum Act 2000), Petroleum (Submerged Lands) Act, 1982, or Petroleum (Submerged Lands) Act, 1967 for the regulated resource or commodity of petroleum. Production Licences provide exclusive tenure rights to produce for the regulated resource or commodity of petroleum for an unlimited term (usually 21 years).



Available format: ESRI Shape, MAPINFO Tab, Google Earth KMZ and WMS/WFS.



Instructions: From SARIG Map Layer, click on 'Petroleum Tenements', 'Petroleum Production Tenements', 'Licences, Production (Petroleum)'.



To download dataset, instructions are available at: http://www.minerals.dmitre.sa.gov.au/sarighelp/map_layers\#L5

## **Dataset History** 

Data downloaded by the Bioregional Assessment team from: https://data.sa.gov.au/cs_CZ/dataset/372a5f3d-52ad-4a13-bc28-d7d8c45a87c5, sourced on 17 March 2015

## **Dataset Citation** 

SA Department of State Development (2014) Petroleum Production Tenements, Licences, Production (Petroleum). Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/a10a755a-329e-4ac8-bd4c-4228be84fc5b.

Tags: Cooper subregion, South Australia, economy
Organization: Bioregional Assessment Program
National Dynamic Land Cover: Trend in the annual Enhanced Vegetation Index (EVI) from 2000 to 2008

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.



The Dynamic Land Cover Dataset of Australia is the first nationally consistent and thematically comprehensive land cover reference for Australia. It is the result of a collaboration between Geoscience Australia and the Australian Bureau of Agriculture and Resource Economics and Sciences, and provides a base-line for identifying and reporting on change and trends in vegetation cover and extent. The dataset comprises three trend datasets showing the change in behaviour of land cover across Australia for the period 2000 to 2008 and a digital copy of the technical report

## **Dataset History** 

This dataset was downloaded from the Geoscience Australia website (http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_71071) May 1, 2015.



The following History statement is from the 'Trend Data Description' PDF document, saved within the dataset folder.



Each of the three trends represents a different aspect of the photosynthetic behaviour of the vegetation within that pixel over a year. The trend data was calculated as the slope of the line for a linear regression of the annual minimum EVI values (lowest 3 EVI values for each year), annual maximum EVI values (highest 3 EVI values for each year) and annual mean EVI values (average of all EVI values for that year).

## **Dataset Citation** 

Geoscience Australia (2015) National Dynamic Land Cover: Trend in the annual Enhanced Vegetation Index (EVI) from 2000 to 2008. Bioregional Assessment Source Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/f6951ba7-8968-4f64-9d38-1ed1a25785a0.

Tags: Australia, Cooper subregion, Galilee subregion, biota, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
Riparian Enhanced Vegetation Index (EVI) interpretation of major streams in the Great Artesian Basin

## **Abstract** 

This dataset was derived by the Bioregional Assessment Programme. The parent datasets are identified in the Lineage field in this metadata statement. This processes undertaken to produce this derived dataset are described in the History field in this metadata statement.



This dataset shows river reaches where riparian vegetation potentially intersects shallow groundwater in the Great Artesian Basin (excluding the coastal areas and Cape York Peninsula).



No effort has been made to distinguish regulated (streams fed from upstream storage) and unregulated rivers and areas of irrigation. This dataset should not be considered where the river is a regulated system or used for irrigation.

## **Purpose** 

Identify possible locations of upward groundwater leakage from the Great Artesian Basin into the shallow watertable. This dataset and its derivititves should not be considered where the river is a regulated system or used for irrigation.

## **Dataset History** 

Selected streams were extracted from the GEODATA TOPO 250K Series 3 (GUID: a0650f18-518a-4b99-a553-44f82f28bb5f) watercourse lines (\Disk 1\Vector_data\Hydrography.mdb\Hydrography\WatercourseLines) dataset. Those selected: 

- were classified (HIERARCHY) as 'Major' streams 

- are within the Great Artesian Basin (Revised Great Artesian Basin Jurassic-Cretaceous sequence boundary (GABWRA) - GUID: 241d11ac-649d-46a5-8cae-3dddb53a8010) 

- have a high or low EVI applied, derived from the National Dynamic Land Cover: Trend in the annual Enhanced Vegetation Index (EVI) from 2000 to 2008 dataset (GUID: f6951ba7-8968-4f64-9d38-1ed1a25785a0)



Streams in coastal areas were excluded from this dataset.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) Riparian Enhanced Vegetation Index (EVI) interpretation of major streams in the Great Artesian Basin. Bioregional Assessment Derived Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/156d3951-e4f3-4d34-89eb-23158604afbe.

## **Dataset Ancestors** 

* **Derived From** [National Dynamic Land Cover: Trend in the annual Enhanced Vegetation Index (EVI) from 2000 to 2008](https://data.gov.au/data/dataset/f6951ba7-8968-4f64-9d38-1ed1a25785a0)

* **Derived From** [Revised Great Artesian Basin Jurassic-Cretaceous sequence boundary (GABWRA)](https://data.gov.au/data/dataset/de5b48e6-f4ac-4278-9653-cbfa72fbb9c2)

* **Derived From** [Great Artesian Basin Boundary, Subregions and Cartographic Mask (GABWRA)](https://data.gov.au/data/dataset/241d11ac-649d-46a5-8cae-3dddb53a8010)

* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)



Tags: Australia, Cooper subregion, Galilee subregion, biota, inlandWaters
Organization: Bioregional Assessment Program
Mount Toondina Crater - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Earth impact structure location.

## **Purpose** 

Understanding the geological complexity in the vicinity.

## **Dataset History** 

Coordinate point taken from unknown source however Mount Toondina is a well known topographic feature and will be on any number of topographic and geologic map sheets. Given it is an astrobleme its co-ordinates will be on any number of meteorite impact crater web pages and books.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Mount Toondina Crater - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/4e160c80-2cbd-4acd-aef1-51c3a2813234.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
EPBC Act Rated Species Mammals - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Shows the locations of species that are listed under the EPBC Act 1999 and have been recorded in the Biological Database of South Australia or the Atlas of Living Australia.

## **Purpose** 

To indicate the locations of species that are listed under the EPBC Act 1999.

## **Dataset History** 

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Arckaringa subregion. The locational information for biological survey sites is collected in a number of formats, with older surveys in the pastoral region being read from maps at various scales (may be up to 1:250,000) and newer surveys using GPS.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) EPBC Act Rated Species Mammals - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/af22505d-dfae-47f6-b441-7d4087f3a0f3.

Tags: Arckaringa subregion, biota
Organization: Bioregional Assessment Program
Geological Provinces - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Boundaries of geological provinces of South Australia.

## **Purpose** 

Environmental monitoring and mining appplications.

## **Dataset History** 

Original version provided by Greg Jenkins, Minerals Resources Group, PIRSA.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Geological Provinces - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/76ec6519-64c5-4d89-befe-506a78173a13.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Great Artesian Basin Aquifer Outcrop - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Detailed mapping of geological unit outcrops.

## **Purpose** 

To aid in geological exploration.

## **Dataset History** 

A definition query, showing stratigraphic units particular to the Great Artesian Basin. Algebuckina Sandstone, Cadna-owie Formation and lateral equivalents.

Data manually digitised and scanned from published PIRSA (now DMITRE) Geological Map Series, aerial photography mapping, PIRSA (DMITRE) report books and investigations.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Great Artesian Basin Aquifer Outcrop - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/00ebd1eb-f908-4853-a2a0-a1626746985f.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Density of Conservation Rated Species Fish - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Each 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.

## **Purpose** 

To indicate the density of significant species surveyed within each grid cell.

## **Dataset History** 

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Arckaringa subregion.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Density of Conservation Rated Species Fish - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/9341421a-0116-46b3-9314-56f0e96f2702.

Tags: Arckaringa subregion, biota
Organization: Bioregional Assessment Program
Intra Basin Faults - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

A compilation of lineaments specifically covering the Karari Fault Zone, the Oolgelima Fault, the Weedina Lineament and the Wallira Fault.

## **Purpose** 

The data was specifically contructed to highlight these particular lineaments and faults, as they were referred to in the Contextual Statement. The features are potentially important with respect to the extent and architecture of the Arckaringa Basin.

## **Dataset History** 

Features were originally presented as part of the Tectonic Sketch portion of the 1:250,000 Geological Map Sheets published by the Geological Survey of South Australia.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Intra Basin Faults - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/19635cf3-7626-48d2-8f86-f6077f8de373.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Arckaringa Basin Underlying Structure Surface Connectivity - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Summarises the contact relationships in respect to the potential hydrogeological interactions between the hydrostratigraphic units in the Arckaringa Basin with those found in underlying basins.

## **Purpose** 

To identify relationships between underlying hydrostratigraphic units in the Arckaringa Basin.

## **Dataset History** 

This 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, GIS.ADMIN.Basins_South_Australia, Warburton_Basin_gda.shp.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Arckaringa Basin Underlying Structure Surface Connectivity - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/f66facc1-6784-438e-bac3-616f0bce48af.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Mean monthly and mean annual rainfall data (base climatological data sets) - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Mean monthly and mean annual rainfall grids. The grids show the rainfall values across Australia in the form of two-dimensional array data. The mean data are based on the standard 30-year period 1961-1990.

## **Purpose** 

To demonstrate distribution of rainfall depths over Arckaringa subregion.

## **Dataset History** 

Gridded data were generated using the ANU (Australian National University) 3-D Spline (surface fitting algorithm). The resolution of the data is 0.025 degrees (approximately 2.5km) - as part of the 3-D analysis process a 0.025 degree resolution digital elevation model (DEM) was used. Approximately 6300 stations were used in the analysis over Australia. All input station data underwent a high degree of quality control before analysis, and conform to WMO (World Meteorological Organisation) standards for data quality.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Mean monthly and mean annual rainfall data (base climatological data sets) - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/05feced7-5fe0-442c-9ee1-d703654e2486.

Tags: Arckaringa subregion, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
Minor Water Body - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Data layer contains natural and constructed water pondage features including; lakes, wetlands, reservoirs and dams.

## **Purpose** 

National topographic purposes.

## **Dataset History** 

GEODATA TOPO 250K Series 3 is primarily sourced from GEODATA TOPO 250K Series 2 and 1:250 000 scale map reproduction material (from the National Topographic Map Series and Defence Joint Operation Graphics). A key revision source for the data is satellite imagery taken from the SPOT Panchromatic and LANDSAT Thematic Mapper Sensors. Revision material has also been gathered from a variety of authoritative sources. More information about the sources for this data can be found in Geoscience Australia's Topographic Data and Map Specifications.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Minor Water Body - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/584ff465-cfe4-4084-8f02-5350524ffe02.

Tags: Arckaringa subregion, inlandWaters
Organization: Bioregional Assessment Program
Density of Conservation Rated Species Reptiles - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Each 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.

## **Purpose** 

To indicate the density of significant species surveyed within each grid cell.

## **Dataset History** 

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Arckaringa subregion.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Density of Conservation Rated Species Reptiles - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/8079381e-6219-4f1d-9309-3741ce2ca1a6.

Tags: Arckaringa subregion, biota
Organization: Bioregional Assessment Program
Great Artesian Basin (JK aquifer) Extent of Saturation - ARC

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Areas of the Great Artesian Basin (JK) Aquifer interpreted to be dry/not dry (unsaturated/saturated).

## **Purpose** 

To indicate the boundary between saturated and unsaturated groundwater conditions within the JK Aquifer.

## **Dataset History** 

This file was developed along with a number of other data sets as part of the Australian Government funded research program entitled Allocating Water and Maintaining Springs in the GAB.

http://archive.nwc.gov.au/library/topic/groundwater/allocating-water-and-maintaining-springs-in-the-great-artesian-basin

By comparing the bottom of JK aquifer horizon (RL mAHD) to that of the uncorrected potentiometric surface of groundwater for the same aquifer (RL mAHD) and where the two were equal, this was interpreted to be the boundary between saturated and unsaturated groundwater conditions within the JK Aquifer. Where the potentiometric surface was found to be more elevated than the base of the JK aquifer, this was included in areas considered to be saturated, whereas areas where the potentiometric surface was found to be lower than the base of the JK aquifer were interpreted to be areas of unsaturated (dry) aquifer. The specific datafiles used to develop this layer include: 

M:\Projects_GW\GAB\spatial_data\hydro_map\2012_map\Updated_rasters\zd_all

M:\Projects_GW\GAB\spatial_data\hydro_map\2012_map\Updated_rasters\pot_surface

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Great Artesian Basin (JK aquifer) Extent of Saturation - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/c272d1d1-8974-4ea9-93c8-f79d3a7c146f.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Petroleum Well Locations - Queensland

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third part and are presented here as originally supplied.



Location of petroleum wells to identify where petroleum exploration and production wells have been drilled in Queensland.

## **Dataset History** 

The data set is part of the Natural Resources & Mines corporate geoscience data sets for Queensland which are held within the Geoscience & Resources Database (GRDB). These data are separately available in a variety of formats.

## **Dataset Citation** 

Queensland Department of Natural Resources and Mines (2015) Petroleum Well Locations - Queensland. Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/4f0b1e72-333e-47ed-b91a-0b4f4bed66eb.

Tags: Cooper subregion, Queensland, economy
Organization: Bioregional Assessment Program