AndreaBozzo/ceres-open-data-index huggingface dataset:
NSW allocation of aquifer for screened unit of monitoring bores

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.



Selected bores in NSW have been assigned a screened aquifer by the Bureau of Meteorology. This work was undertaken specifically to meet the needs of the National Water Account and Australian Water Resource Assessment Report, and as such are not exhaustive.



Aquifers have been assigned to bores based on a number of data sources. These sources are listed below:



1.	Groundwater status report 2000-05 (Murray Darling Basin Commission, 2008, ISBN: 978 1 921257 46 9)



2.	NSW NGIS (Bureau of Meteorology)



3.	National Water Account 2011 (http://www.bom.gov.au/water/nwa/2011/) - bores assigned to aquifers as part of the NWA 2011 have also been included

## **Dataset History** 

Aquifers have been assigned to bores based on a number of data sources. These sources are listed below:



1.	Groundwater status report 2000-05 (Murray Darling Basin Commission, 2008, ISBN: 978 1 921257 46 9)



2.	NSW NGIS (Bureau of Meteorology)   \\wron\Project\BA\BA_all\Hydrogeology\_National_Groundwater_Information_System_v1.1_Sept2013



3.	National Water Account 2011 (http://www.bom.gov.au/water/nwa/2011/) - bores assigned to aquifers as part of the NWA 2011 have also been included

## **Dataset Citation** 

Bureau of Meteorology (2013) NSW allocation of aquifer for screened unit of monitoring bores. Bioregional Assessment Source Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/2d5ffd17-f7cc-4b5f-bf77-bcdaf0c8ca53.

Tags: Gloucester subregion, New South Wales, geoscientificInformation
Organization: Bioregional Assessment Program
Outback Region Rated Species Fish - PED

## **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 rated as having 'conservation significance' in the Outback region in South Australia (Gillam and Urban 2013) and have been recorded in the Biological Database of South Australia or the Atlas of Living Australia. Note there is no equivalent regional rating in the Northern Territory.

## **Purpose** 

To indicate the locations of species that are rated as having 'conservation significance' in the Outback region.

## **Dataset History** 

Dataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Pedirka subregion. Ratings; Gillam S and Urban R (2013) Regional Species Conservation Assessment Project, Phase 1 Report: Regional Species Status Assessments, Outback Region. Department of Environment, Water and Natural Resources, South Australia. 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. Note there is no equivalent regional rating in the Northern Territory.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Outback Region Rated Species Fish - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/d5322de6-dee5-42f7-89ba-a91a9c919b22.

Tags: Pedirka subregion, biota
Organization: Bioregional Assessment Program
Basement Faults - PED

## **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 layer in question describes faults interpreted to occur within the base of Permian geology within the Pedirka Basin.

## **Purpose** 

This file is used to describe the location of interpreted faulting wihin the  basement of Permian sequences of the Pedirka subregion.

## **Dataset History** 

Data used to construct this interpretation was sourced from publicly available geophysics (largely seismic), groundwater bore hole logs and open file mineral/petroleum exploration drilling logs. The first published instance of this interpretation is Wohling D, Keppel M, Fulton S, Costar A, Sampson L and Berens V 2013b. Australian Government Initiative on Coal Seam Gas and Large Coal Mining Arckaringa Basin and Pedirka Basin Groundwater Assessment Projects. Department of Environment, Water and Natural Resources, Report No. DEWNR 2013/11. (https://www.waterconnect.sa.gov.au/Content/Publications/DEWNR/Arckaringa_Pedirka_Stage1_Report.pdf)

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Basement Faults - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/68e3cdb6-c455-4752-9c8c-668ba18e5d88.

Tags: Pedirka subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Water Quality EC Temp pH TSS TP TN Turbidity Wyong Shire Council Weekly Discrete 2008-2014

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details at the time of acquisition.



Water quality data provided under the Water Act to the Bureau of Meteorology by Wyong Local Council. The following variables are available:

EC, Temperature, pH, TSS,TP,TN, Turbidity for Ourimbah Creek and Wyong River water pump stations.

This is weekly (discrete) time series data available for the period between 2008-2014.

## **Dataset History** 

Please note the contact for this data is the Bureau of Meteorology as the data was provided as a once off extract to the Bureau under the Water Regulations Act, 2008.

The data provider is Wyong Shire Council. The data provided is in 2 Excel Spreadsheets.

## **Dataset Citation** 

Wyong Shire Council (2014) Water Quality EC Temp pH TSS TP TN Turbidity Wyong Shire Council Weekly Discrete 2008-2014. Bioregional Assessment Source Dataset. Viewed 09 May 2017, http://data.bioregionalassessments.gov.au/dataset/c43ee9c5-121f-4fcf-9be6-14c02132965e.

Tags: Hunter subregion, New South Wales, environment, inlandWaters
Organization: Bioregional Assessment Program
Billa Kalina Work Plan - 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.

The lines in this layer represent the possible direction of groundwater flow in two stratigraphic formations; Mount Toondina Formation and Boorthanna Formation. Flow is inferred to occur from areas interpreted to be zones of recharge, toward zones of discharge.

## **Purpose** 

To understand the possible direction of groundwater flow within the Arckaringa Basin.

## **Dataset History** 

This line layer is based on available data and historical interpretation; Wohling Et al. (2013) and are primarily estimated by interpreting the potentiometric surfaces. Additional sources of data that fed into the development of these lines include the Zones of Recharge and Zones of Discharge presented in the Hydro_elements.shp. Ideally, both shape files should be viewed together.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Billa Kalina Work Plan - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/eb987eb0-b386-4cf8-b673-7500fac1d0f2.

Tags: Arckaringa subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Lake Eyre Basin Rivers Assessment Monitoring Sites - PED

## **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 Lake Eyre Basin Rivers Assessment Monitoring Sites. LEBRA is a national monitoring program to assess the health of the catchments and rivers of the Lake Eyre Basin (LEB) under the LEB Intergovernmental Agreement.

## **Purpose** 

To locate Lake Eyre Basin Rivers Assessment Monitoring Sites.

## **Dataset History** 

Data supplied by South Australian Research and Development Institute in 2013 from their fish monitoring database.

## **Dataset Citation** 

SA Department of Environment, Water and Natural Resources (2015) Lake Eyre Basin Rivers Assessment Monitoring Sites - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/0ecdf758-5fd1-4610-b739-343a7aef7cde.

Tags: Pedirka subregion, environment
Organization: Bioregional Assessment Program
Impact Modes and Effects Analysis for the CLM subregion

## **Abstract** 

This dataset and its metadata statement were created within the Bioregional Assessment Programme based on expert elicitation. There are no source datasets used.



In this dataset we describe the application of Impact Modes and Effects Analysis (IMEA) to the hazards associated with coal seam gas and coal mining operations in the Clarence-Moreton subregion. Attention is restricted to water mediated hazards, i.e. hazards that might lead directly or indirectly to impacts on groundwater or surface water, and the assets that depend on them. All other hazards, for example the effects of air quality, are explicitly excluded. Full details of the hazard analysis process are described in http://data.bioregionalassessments.gov.au/submethodology/M11.

## **Dataset History** 

Full details of the hazard analysis process are described in http://data.bioregionalassessments.gov.au/submethodology/M11

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Impact Modes and Effects Analysis for the CLM subregion. Bioregional Assessment Source Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/47dac3b5-8d61-4275-88aa-edbf455aa5ec.

Tags: Clarence-Moreton bioregion, Queensland, environment, inlandWaters
Organization: Bioregional Assessment Program
Map product masks for MBC235 maps

## **Abstract** 

This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.



Cartographic masks for map products MBC_235, used for clear annotation and masking unwanted features from report maps.

## **Dataset History** 

Masks created using the 'Features Outline Masks (Cartography)' tool on annotation layers within ArcCatalog.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) Map product masks for MBC235 maps. Bioregional Assessment Source Dataset. Viewed 05 July 2017, http://data.bioregionalassessments.gov.au/dataset/0e64f533-0f7c-45e9-b3c5-93fefe222643.

Tags: Maranoa-Balonne-Condamine subregion, Queensland, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program
Formation tops exploration wells

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.



This data set is a spreadsheet of formation top intersections at coal seam gas and exploration wells. The data set was provided by Metgasco Limited for use in the Bioregional Assessment.

## **Dataset History** 

This data set is a spreadsheet of formation top intersections at coal seam gas and selected petroleum exploration wells in the Clarence-Moreton Basin in NSW. It was provided by Metgasco Limited. It shows the depth where different stratigraphic units are intersected at different wells. It mostly follows the new revised stratigraphic (Doig and Stanmore, 2012) of the Clarence-Moreton Basin. It forms a key component of the development of the 3D geological model of the Clarence-Moreton bioregion.



More detail on its role in the 3D geological model development are provided in Clarence-Moreton bioregional assessment product 2.1-2.2 (Raiber et al., 2016).

## **Dataset Citation** 

CSIRO (2016) Formation tops exploration wells. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/414c8231-9471-4620-b2ea-f57e2114d1bb.

Tags: Clarence-Moreton bioregion, geoscientificInformation
Organization: Bioregional Assessment Program
NSW 2011 Census Population Counts and Density (Spatial)

## **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.



ABS 2011 census data presented spatially in an ESRI files geodatabase. Derived from Tabular ABS 2011 Census data for NSW joined with Meshblocks for NSW downloaded from the ABS website.



As well as published "Persons" and "Dwellings" data an additional field "Persons_km2" was derived from the persons count and spatial area of the associated Mesh Block (see Lineage).

## **Dataset History** 

2011 base level Census data for NSW was downloaded from the ABS website along with the spatial boundaries pertaining to the tabular data (NSW Mesh block shpaefiles). 



Census data was joined to the Mesh block polygons based on the Mesh block ID and the combined attributes exported to a file geodatabase  feature class. A field was added "Persons_km2) and a popultaion density for each mesh block polygon area was derived by dividing the "persons" in that mesh block by the polygon area (based on Aust Albers projection) factored to calculate persons per square km.

## **Dataset Citation** 

Australian Bureau of Statistics (2014) NSW 2011 Census Population Counts and Density (Spatial). Bioregional Assessment Source Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/90662127-a559-493b-9d65-df44270aeb0a.

Tags: Gloucester subregion, Hunter subregion, New South Wales, Sydney Basin bioregion, society
Organization: Bioregional Assessment Program
CLM - New South Wales Department of Trade and Investment 3D geological model layers

## **Abstract** 

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.



This datasets contains four layers of key stratigraphic formation tops in the Clarence-Moreton Basin in NSW provided by NSW Trade and Investment. The datasets are spatial interpolation based on seismic and well stratigraphy data.

## **Dataset History** 

This datasets contains four layers (data grids) of key stratigraphic formation tops in the Clarence-Moreton Basin in NSW provided by the NSW Department of Trade and Investment.



They were developed using SKUA 3D geological modelling software (Paradigm&#xAE;).



The horizons tops are: 



Ipswich Coal Measures, Richmond Coal Seam, Gatton Sandstone and Koukandowie Formation.



In the Clarence-Moreton bioregional assessment, they were used to inform the development of the 3D geological model of the deeper stratigraphic units (below the Walloon Coal Measures).



More information on how they were used in the context of the Clarence-Moreton bioregional assessment is available in Clarence-Moreton bioregional assessment programme product 2.1-2.2 (Raiber et al., 2016).

## **Dataset Citation** 

NSW Trade and Investment (2016) CLM - New South Wales Department of Trade and Investment 3D geological model layers. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/0843bdb7-d8e8-40ac-ae9c-0ac59b37cdf7.

Tags: Clarence-Moreton bioregion, New South Wales, geoscientificInformation
Organization: Bioregional Assessment Program
Gippsland Basin potentiometric surfaces - Regional water table, Boisdale Aquifer and Latrobe Group Aquifer.

## **Abstract** 

This dataset was derived by the Bioregional Assessment Programme from the Gippsland Basin Potentiometric Surfaces - Regional Watertable, Boisdale Aquifer and Latrobe Group Aquifer dataset (GUID: 94af5ab4-d83e-4440-972a-7e0578400095). You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.



This dataset includes two sets of data:

- Potentiometric surfaces converted to rasters

- The rasters clipped to the Gippsland Bioregion boundary.



All units are in mAHD.

## **Purpose** 

The purpose of these diagrams are to give the reader an indicative view of the key potentiometric surfaces at the regional scale for the Bioregional Assessment for the years 1980 and 2012. The data originates from preliminary findings of the Conceptualisation and Calibration of the Gippsland Basin Groundwater Model Stage of the Victorian 1771 Water Science Studies.

## **Dataset History** 

The raster versions of the potentiometric surfaces were created using the 'Copy Raster' tool within ESRI ArcCatalogue 10.2. 

These rasters were then clipped to the Gippsland Bioregional Boundary using the 'Extract by Mask (Spatial Analyst)' tool within ArcMap 10.2.



Boisdale refers to the Boisdale aquifer.

Regional refers to the water table across the bioregion.

Upper Latrobe refers to the Latrobe Group aquifer.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Gippsland Basin potentiometric surfaces - Regional water table, Boisdale Aquifer and Latrobe Group Aquifer.. Bioregional Assessment Derived Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/0ed23d9f-e7fd-4040-a82b-9bf3853289c6.

## **Dataset Ancestors** 

* **Derived From** [Gippsland Basin potentiometric surfaces - Regional watertable, Boisdale Aquifer and Latrobe Group Aquifer](https://data.gov.au/data/dataset/94af5ab4-d83e-4440-972a-7e0578400095)



Tags: GEOSCIENCES-Hydrogeology, Gippsland Basin bioregion, Victoria, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
CLM Richmond River basin surface water modelling domain

## **Abstract** 

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



These modelling nodes are a variety of locations, including ones that are: above major confluences; immediately below proposed coal seam gas (CSG) development projects; at surface water gauging stations; and close to the limit of tidal influence.

## **Purpose** 

The surface water model nodes are used to provide a variety of reporting locations for streamflow predictions.

## **Dataset History** 

All the layers in the GDB are derived from the spreadsheet CLM-nodes.xls. 

 

- The geolocated records in the spreadsheet were used to create the point feature class CLM_RichmondRiver_nodes orig. 

- These nodes were snapped to flow accumulation paths to create CLM_RichmondRiver_nodes_GDA94_snapped and used in conjunction with the 9 sec Flowdirection grid (GUID: ebcf6ca2-513a-4ec7-9323-73508c5d7b93) to create the Watershed raster CLM_RichmondRiver_nodes_WS. 

- The raster was converted to a polygon feature class (CLM_RichmondRiver _nodes_Catchments), which was dissolved so that there was one record per catchment (CLM_RichmondRiver _nodes_Catchments_dslv) and then intersected with the climate cell layer (GUID: 3df5188b-f027-4d51-99a8-45e2800f29c8) to produce CLM_RichmondRiver_nodes_Catchments_x_ClimateCell and dissolved to get one record per unique catchment x climate cell combination (CLM_RichmondRiver_nodes_Catchments_x_ClimateCell_dslv).

- The attribute table was then exported to CLM_Node_Catch_x_ClimateCell_LUT.csv and reformatting to create CLM_Node_Catch_x_ClimateCell_LUT.xls. This spreadsheet represents 240 gauge/node catchment x Climate cell combinations.



- CLM_RichmondRiver_nodes_catchments_v1 was generated from CLM_RichmondRiver _nodes_Catchments with a value field added in order to symbolise the catchments in ArcMap.

## **Dataset Citation** 

Bioregional Assessment Programme (2015) CLM Richmond River basin surface water modelling domain. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/c44f400a-5f44-4f5f-a22f-533e90afd8c5.

## **Dataset Ancestors** 

* **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)

* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)

* **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)

* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)



Tags: Clarence-Moreton bioregion, New South Wales, inlandWaters
Organization: Bioregional Assessment Program
CLM Modelled rainfall predictions

## **Abstract** 

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



This dataset contains the 30-year totals of modelled rainfall predictions, accumulated up to the catchment areas, above each of the model nodes in the Richmond river basin. This summary is derived from the rainfall modelling predictions for CLM.

## **Purpose** 

To provide rainfall totals at each model node for a water balance calculation.

## **Dataset History** 

30-year totals of modelled rainfall from the BILO gridded dataset have been edited.



This dataset accumulates this gridded data to provide rainfall totals from the catchment areas above each of the 16 surface water modelling nodes in the Richmond river basin.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) CLM Modelled rainfall predictions. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/75ab5801-cb68-4d90-a13b-9df1cdba10cc.

## **Dataset Ancestors** 

* **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)

* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)

* **Derived From** [CLM Richmond River basin surface water modelling domain](https://data.gov.au/data/dataset/c44f400a-5f44-4f5f-a22f-533e90afd8c5)

* **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)

* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)



Tags: Clarence-Moreton bioregion, inlandWaters
Organization: Bioregional Assessment Program