AndreaBozzo/ceres-open-data-index huggingface dataset:
NSW Coalfield boundaries

## **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.



Spatial dataset recording the Coalfield boundaries



This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Department of Industry. http://www.industry.nsw.gov.au/

## **Purpose** 

Show the Coalfields defined by the Standing committee on Coalfield Geology 1976

## **Dataset History** 

The shapefiles are created based on the coal fields located in New South Wales by NSW Department of Trade and Investment.



The data was derived from structural basin outlines and modified according to the requirements of the Standing Committee on Coalfield Geology of NSW, 1976. Definition of Coalfields, Sydney and Gunnedah Basins. New South Wales Geological Survey Records 17(2), 85-86ATTRIBUTE DEFINITIONSNAME DESCRIPTIONNAME Name of the Coalfield



Dataset in BA originally included only boundaries for Gunnedah, Western, Newcastle, Hunter and Southern. 

Later updated on 12-06-2014 to include Central.

## **Dataset Citation** 

NSW Trade and Investment (2011) NSW Coalfield boundaries. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/c93d9cbc-22f9-459d-a2d8-e530332393b0.

Tags: Hunter subregion, Sydney Basin bioregion, boundaries, geoscientificInformation, location
Organization: Bioregional Assessment Program
Outback Region Rated Species Flora - 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.



Current biodiversity data are available from the Atlas of Living Australia at http://www.ala.org.au/

## **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 Flora - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/c93fd06a-2466-42c8-a3e6-e02efbd29f3f.

Tags: Pedirka subregion, biota
Organization: Bioregional Assessment Program
2012 APS employee census

The 2012 APS employee census was administered to all available APS employees. This census approach provides a comprehensive view of the APS and ensures no eligible respondents are omitted from the survey sample, removing sampling bias and reducing sample error. The census' content is designed to establish the views of APS employees on workplace issues such as leadership, learning and development and job satisfaction. The census ran from 8 May to 6 June 2012. Overall, 87,214 APS employees responded to the employee census, a response rate of 55%.

Please be aware that the very large number of respondents to the employee census means these files are over 200 mb in size. Downloading and opening these files may take some time.

_TECHNICAL NOTES_

Three files are available for download.

* 2012 APS employee census - Questionnaire: This contains the 2012 APS employee census questionnaire.
* 2012 APS employee census - 5 point dataset.csv: This file contains individual responses to the 2012 APS employee census as clean, tabular data as required by data.gov.au. This will need to be used in conjunction with the above document.
* 2012 APS employee census - 5 point dataset.sav: This file contains individual responses to the 2012 APS employee census for use with the SPSS software package. 

To protect the privacy and confidentiality of respondents to the 2012 APS employee census, the datasets provided on data.gov.au include responses to a limited number of demographic or other attribute questions.


Full citation of this dataset should list the Australian Public Service Commission (APSC) as the author.  

A recommended short citation is: 2012 APS employee census data, Australian Public Service Commission. 


Any queries can be directed to research@apsc.gov.au.

Tags: APS, State of the Service, employee census
Organization: Australian Public Service Commission
GLO AEM CSG wells v01

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from the AGL Gloucester Gas Project AECOM report location map features dataset. The source dataset is 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.



The data set is a shapefile of simulated CSG well sites used in modelling CRDP for future scenarios. The 110 wells were randomly distributed throughout the AGL Stage 1 Area.  No planned well sites were available at the time of modelling so random distribution at the likely well density was applied. The area for the Stage 1 was determine from the AGL shapefile provided.

## **Purpose** 

To simulate full well field development for the CRDP modelling scenarios.

## **Dataset History** 

The 110 wells were randomly distributed throughout the AGL Stage 1 Area.  No planned well sites were available at the time of modelling so random distribution at the likely well density was applied. The area for the Stage 1 was determined from the AGL shapefile provided.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) GLO AEM CSG wells v01. Bioregional Assessment Derived Dataset. Viewed 12 July 2018, http://data.bioregionalassessments.gov.au/dataset/ca0daf0c-0511-4054-94f8-fc05c8c938ca.

## **Dataset Ancestors** 

* **Derived From** [AGL Gloucester Gas Project AECOM report location map features](https://data.gov.au/data/dataset/7fca4f35-6e4e-4d37-bbae-1c1029a93a40)



Tags: Gloucester subregion, New South Wales, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
Catchment Scale Land Use of Australia - Update March 2015

This dataset has been superseded. An updated version of this dataset is available from the ABARES website.

This dataset is a national compilation of catchment scale land use data for Australia (CLUM), as at March 2015. 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 2014) and scale of mapping (1:20 000 to 1:250 000) vary, reflecting the source data, capture date and scale. 

Tags: Agricultural Land Management, Agriculture, Agriculture mapping, Environment, Land, Land Survey, Land Use, Land Use Classification, Land Use maps
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Catchment Scale Land Use of Australia - Update May 2016

This dataset has been superseded. An updated version of this dataset is available from the ABARES website.

This dataset is a national compilation of catchment scale land use data for Australia (CLUM), as at May 2016. 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 2015) and scale of mapping (1:20 000 to 1:250 000) vary, reflecting the source data, capture date and scale. This information is provided in a supporting polygon dataset.

Tags: Agricultural Land Management, Environment, Environment, Land, Land Use, Resources
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Catchment Six Mile Creek DTM 2019


A Digital Terrain Model (DTM) based on a 1m grid of ground levels derived from the 2019 LiDAR survey. A DTM refers to a model of bare earth elevation values based on a grid pattern of 1 metre. The extents of the data is for the catchment contained within the City of Ipswich administrative boundary.


Tags: ALS, Catchment, Creeks, DEM, DTM, Digital Elevation Model, Ipswich City, LiDAR, Rivers, Terrain, Topography
Organization: Ipswich City Council
Catchment Warrill Creek DTM 2019

A Digital Terrain Model (DTM) based on a 1m grid of ground levels derived from the 2019 LiDAR survey. A DTM refers to a model of bare earth elevation values based on a grid pattern of 1 metre. The extents of the data is for the catchment contained within the City of Ipswich administrative boundary.


Tags: ALS, Catchment, Creeks, DEM, DTM, Digital Elevation Model, Ipswich City, LiDAR, Rivers, Topography
Organization: Ipswich City Council
Catchment Woogaroo Creek DTM 2019

A Digital Terrain Model (DTM) based on a 1m grid of ground levels derived from the 2019 LiDAR survey. A DTM refers to a model of bare earth elevation values based on a grid pattern of 1 metre. The extents of the data is for the catchment contained within the City of Ipswich administrative boundary.


Tags: ALS, Catchment, Creeks, DEM, DTM, Digital Elevation Model, Ipswich City, LiDAR, Rivers, Terrain, Topography
Organization: Ipswich City Council
Threatened migratory shorebird habitat mapping DECCW May 2006

## **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.



Originally digitised very poorly, this dataset has been fixed as much as posssible. Important feeding habitats and roosting sites for seven species of migratory shorebirds (waders) were plotted on GIS software using air photos as templates. Data for this process was obtained from a variety of sources to provide numbers of birds recorded at each of the sites. The habitat mapping was done from first hand experience in the field by the author and/or from local ornithologists with particular skills in shorebird identification and local knowledge of habitats used by shorebirds. The accuracy of the data plotted will not always match the topography, such as shoals, sand spits or shorelines because these are constantly changing (the air photos used are at least 10 years old).However this is the most precise shorebird mapping available.



This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Office of Environment & Heritage (http://www.environment.nsw.gov.au/).

## **Dataset History** 

Lineage:   GIS data created by a consultant who innacurately indicated that he knew how to use GIS. All existing data on shorebird distribution (foraging and roosting records) held by bird groups, specialists and DEC Wildlife Atlas were reviewed and updated where information was available and checked for inaccuracies. , Data was also updated where required as a result of changes to estuarine habitats through the use of aerial photography. Where necessary face to face meetings were arranged with relevant people to obtain input from other shorebirdspecialists, failing this communication was by phone or email. Digitised air photos provided by DEC were used to map all known shorebird foraging habitat and roost sites along the NSW coast, noting habitat utilised by threatened migratory shorebirds, specifically Sanderling, Great Knot, Greater Sand Plover, Lesser Sand Plover, Broad-billed Sandpiper, Black-tailed Godwit and Terek Sandpiper.

## **Dataset Citation** 

NSW Department of Environment, Climate Change and Water (2010) Threatened migratory shorebird habitat mapping DECCW May 2006. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/cc0b62a0-ded7-4c14-b954-1552337b395e.

Tags: Hunter subregion, Sydney Basin bioregion, biota
Organization: Bioregional Assessment Program
City of Port Phillip Community Bus Routes

Network showing locations of Community Bus Routes  within City of Port Phillip. 

The free City of Port Phillip bus routes cover Elwood, St Kilda West, St Kilda East, Ripponlea, South Melbourne, Middle Park, Albert Park, Garden City and Port Melbourne areas. Routes start and finish at the South Melbourne Market and in St Kilda at the Library or at the St Kilda Town Hall.  For the location of Bus Stops, refer to the City of Port Philip Bus Route dataset. For the timetable refer to: http://www.portphillip.vic.gov.au/community_bus.htm

This data uses OpenCouncilData standards.

Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Port Phillip in their use.


Tags: Community Bus, bus routes, ocd.commnunitybusroutes
Organization: City of Port Phillip
HUN mine time series tables v01

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from a source dataset. The source dataset is 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.



Access database containing attribute tables with attributes of mine footprint data from the source spatial dataset and queries to summarize that data.

## **Dataset History** 

Attibute table from source data was imported to Access db.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) HUN mine time series tables v01. Bioregional Assessment Derived Dataset. Viewed 22 June 2018, http://data.bioregionalassessments.gov.au/dataset/cc1f9124-89f7-4b8e-accc-86d778b6c9c4.

## **Dataset Ancestors** 

* **Derived From** [HUN Groundwater footprint polygons v01](https://data.gov.au/data/dataset/c7672a9d-422e-425e-82ef-11afc5fb7ba6)

* **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** [HUN Historical Landsat Images Mine Foot Prints v01](https://data.gov.au/data/dataset/28de7771-28f5-4d24-943f-0addea07c8c4)

* **Derived From** [Historical Mining footprints DTIRIS HUN 20150707](https://data.gov.au/data/dataset/7b91b53c-2f09-4cd7-a38b-746446c06a72)

* **Derived From** [HUN Mine footprints for timeseries](https://data.gov.au/data/dataset/1e18f597-c8dd-4dae-b460-de9f5ebb1c6a)

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

* **Derived From** [HUN Historical Landsat Derived Mine Foot Prints v01](https://data.gov.au/data/dataset/e852e582-d0e7-4543-ac70-feba694597c0)

* **Derived From** [HUN SW footprint shapefiles v01](https://data.gov.au/data/dataset/2a9520c8-1569-4e0e-8bd8-26e2c7b9e9e0)

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



Tags: Hunter subregion, INDUSTRY-Mining, New South Wales, economy, geoscientificInformation
Organization: Bioregional Assessment Program
Operating Coal Mines in New South Wales as on 24 July 2013

## **Abstract** 

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



Spatial dataset recording the location of mining exploration and production licences granted under New South Wales mining legislation as of 24 July 2013. The shapefile is created based on the current mining lease registered with New South Wales Department of Trade and Investment and located in Title Administrative System. Mining Exploration licences generally follow graticular boundaries and are applied for and granted as a series of 5' by 5' blocks. Generated from the Titles Administration Relational Database System, a transactional database, updated daily.



This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Department of Industry. http://www.industry.nsw.gov.au/

## **Dataset History** 

The shapefile is created based on the current mining lease registered with New South Wales Department of Trade and Investment and located in Title Administrative System. Mining Exploration licences generally follow graticular boundaries and are applied for and granted as a series of 5' by 5' blocks. Generated from the Titles Administration Relational Database System, a transactional database, updated daily.



This data set contains the files related to the Operating Coal Mines in NSW.



The list of coal mines was converted to points (shapefile).



Coal_Mines_in_NSW.jpg is a quick view of the mines.

## **Dataset Citation** 

NSW Trade and Investment (2014) Operating Coal Mines in New South Wales as on 24 July 2013. Bioregional Assessment Source Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/cc922b1c-e562-4653-a43a-affef37bfe21.

Tags: Gloucester subregion, Sydney Basin bioregion, economy, planningCadastre, utilitiesCommunication
Organization: Bioregional Assessment Program
Mining Footprints Glenncore 20141107

## **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.



Mining footprints as supplied by Glencore on two different dates:

4/11/2014

7/11/2014



Powerpoint and data packages for the following sites supplied:



Liddell OC, Mt Owen Complex (includes Glendell OC and Mt Owen OC mines), Mangoola OC, Ravensworth OC, Ravensworth UG, West Wallsend UG.)



Note, data packages only provided for Ulan \#3 UG and Ulan West UG Mines. 



Further data provided on the 7th November:



- Ulan OC's data package



- Ulan complex Powerpoint presentation 



- Bulga's 2012 and final landform spoil/dump surfaces



This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact Glencore. http://www.glencore.com/.

## **Purpose** 

Mining footprints as supplied by Glencore on 2 different dates

## **Dataset History** 

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.



No history was provided with the dataset.

## **Dataset Citation** 

Glencore (2014) Mining Footprints Glenncore 20141107. Bioregional Assessment Source Dataset. Viewed 22 June 2018, http://data.bioregionalassessments.gov.au/dataset/cd1a6a82-1bfd-4cae-bdca-40ba77166407.

Tags: Australia, Hunter subregion, INDUSTRY-Mining, economy
Organization: Bioregional Assessment Program
Schematic structural map of the Gunnedah Basin

## **Abstract** 

This dataset was derived by the Bioregional Assessment Programme. The parent dataset is 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 a georeferenced version of Figure 15: Schematic structural map of the Gunnedah Basin (adapted and amended from Tadros, 1993 and Scheibner 1996), from the report - "Gurba, L, Golab, A, Jaworska, J, Douglass, J and Hyland, K, 2009. CO2 Geological Storage Opportunities in the Gunnedah Basin, and the Southern Bowen Basin, NSW. Cooperative Research Centre for Greenhouse Gas Technologies, Canberra, Australia, CO2CRC Publication Number RPT09-1456. 125pp." (GUID: 1be2af42-6a73-457f-ac29-cb52d06b0105). This georeferenced image is for visualisation in ArcGIS.

## **Dataset History** 

Figure 15: Schematic structural map of the Gunnedah Basin (adapted and amended from Tadros, 1993 and Scheibner 1996), from the report - "Gurba, L, Golab, A, Jaworska, J, Douglass, J and Hyland, K, 2009. CO2 Geological Storage Opportunities in the Gunnedah Basin, and the Southern Bowen Basin, NSW. Cooperative Research Centre for Greenhouse Gas Technologies, Canberra, Australia, CO2CRC Publication Number RPT09-1456. 125pp." (GUID: 1be2af42-6a73-457f-ac29-cb52d06b0105) was georeferenced in ArcMap using the Georeferencing tool bar. Graticule marks in the original figure were used as reference points in this process. The figure was exported in geoTIFF format.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) Schematic structural map of the Gunnedah Basin. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/ceb50481-c35f-4e77-82bf-d25e4dec67ac.

## **Dataset Ancestors** 

* **Derived From** [CO2 Geological Storage Opportunities in the Gunnedah Basin, and the Southern Bowen Basin, NSW Status Report](https://data.gov.au/data/dataset/c8c3c92d-e852-4aeb-9d64-ef149f1c5b2e)



Tags: Namoi subregion, New South Wales, geoscientificInformation
Organization: Bioregional Assessment Program
3D Massing Model - City of Greater Geelong

3D Model of central Geelong put together as a Google Earth KMZ. The single file contains 3D buildings, terrain and aerial information. 

>*Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greater Geelong in their use.*

Tags: 3D, Aerial Photo, Asset, Buildings, Community, DEM, Elevation, Environment, Footprints, G3M, Infrastructure, Massing, Orthophotograph, Planning, Property, Terrain, Transport, aerial photo, buildings, dem, elevation, footprints, massing, orthophotograph, terrain
Organization: City of Greater Geelong
Central Goldfields Shire Garbage Collection Zones

Waste Collection areas with collection day and cycle, green waste and hard waste where applicable.

This data uses OpenCouncilData standards.

Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the Central Goldfields Shire in their use.

Tags: Environment, Garbage, Green Waste, Hard Waste, Recycling, Rubbish Collection
Organization: Central Goldfields Shire Council