AndreaBozzo/ceres-open-data-index huggingface dataset:
2016 SoE Antarctic environment Suspended solids

Annual averages of suspended solids in the effluent of Mawson and Casey for 2003–2015. The units are milligrams per litre (mg/L). Annual values are shown where there are 6 or more measurements available. This data was sourced from the Australian Antarctic Division. Further information can be found at aad.gov.au. Data used by the Department of Environment and Energy to produce graph at Figure ANT15 in the Antarctic environment theme of the 2016 State of the Environment Report, available at 

https://soe.environment.gov.au/theme/antarctic-environment/topic/2016/australian-antarctic-programs-station-environment-operation#antarctic-environment-figure-15

Tags: 2016, 2016 SoE, Antarctic environment, Casey, Mawson, SoE, SoE Graph, State of the Environment, Water, quality
Organization: State of the Environment
2016 SoE Built environment Level of accessibility to education infrastructure, percentage of population, Australian capital cities

The Metropolitan Accessibility/Remoteness Index of Australia (Metro ARIA), developed by the Hugo Centre for Migration and Population Research (previously APMRC) and sponsored by the Australian Urban Research Infrastructure Network (AURIN), provides a nationally consistent and comparable dataset that quantifies geographic accessibility within the metropolitan area. SA1 Metro ARIA is for the year 2015. Spatial coverage is the 2011 ABS Urban Centre boundaries for each of the eight Australian Capital Cities.

Data used to produce Figure BLT19 in Built environment, SoE 2016. See https://soe.environment.gov.au/theme/built-environment/topic/2016/livability-urban-amenity#built-environment-figure-BLT19


Tags: 2016, 2016 SoE, Built environment, Cities, City, Education, Infrastructure, SoE, SoE Graph, State of the Environment
Organization: State of the Environment
2015-16 Medium-term fiscal projections

This dataset contains detailed analysis and projections of Australian government receipts and payments over the forward estimates to 2018-19 and the medium-term to 2025-26, as published in the Parliamentary Budget Office's **[2015-16 Budget: medium-term projections report](https://www.aph.gov.au/About_Parliament/Parliamentary_Departments/Parliamentary_Budget_Office/Publications/Research_reports/Medium-term_fiscal_projections ""Parliamentary Budget Office's 2015-16 Budget: medium-term projections"")**.  

The dataset allows users to:

- better understand the factors that are leading to changes in the budget aggregates over the medium-term to 2025-26
- supplement the budget forecast and projections contained in the **[2015-16 Australian Government budget papers](https://archive.budget.gov.au/2015-16/index.htm "Australian Government 2015-16 budget papers")**
- access historical budget data on a range of budget aggregates.

For more information about the terms used in the dataset, see the Parliamentary Budget Office's **[online budget glossary](https://www.aph.gov.au/About_Parliament/Parliamentary_Departments/Parliamentary_Budget_Office/Online_Budget_Glossary "Parliamentary Budget Office's online budget glossary")**.

This work is licensed under the **[Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Australia License](http://creativecommons.org/licenses/by-nc-nd/3.0/au/ "Copyright notice - Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Australia License")**

Tags: 2015-16 Budget, Australian Government, Parliamentary Budget Office, budget aggregates, forward estimates, net debt, net future fund earnings, payments, projections, public debt interest, receipts, taxation, underlying cash balance
Organization: Parliamentary Budget Office
2016 SoE Atmosphere Trend in Australian mean temperatures, 1910-2015

Map prepared by the Department of Environment and Energy in order to produce Figure ATM18 in the Atmosphere theme of the 2016 State of the Environment Report.

Source: Bureau of Meteorology http://www.bom.gov.au/jsp/awap/temp/index.jsp

The map service can be viewed at http://soe.terria.io/#share=s-gGCZMxrZ3ElMOL664HUsrCUx5rJ

Downloadable ESRI spatial data is also available below.

Tags: 2016, 2016 SoE, Atmosphere, Atmosphere Map, SoE, SoE Map, State of the Environment
Organization: State of the Environment
2013 Community Attitudes to Privacy survey data

De-identified data from the OAIC's 2013 Community Attitudes to Privacy survey. Data from the 2007 Community Attitudes to Privacy survey are also available:  <a href="https://data.gov.au/dataset/2007-community-attitudes-to-privacy-survey-data">www.data.gov.au/dataset/2007-community-attitudes-to-privacy-survey-data</a>

Tags: community attitudes, oaic, open government, privacy, survey
Organization: Office of the Australian Information Commissioner
2007 Community Attitudes to Privacy survey data

De-identified data from the former Office of the Privacy Commissioner's 2007 Community Attitudes to Privacy survey.
Data from the 2013 Community Attitudes to Privacy survey are also available: www.data.gov.au/dataset/2013-community-attitudes-to-privacy-survey-data

Tags: community attitudes, oaic, opc, open government, privacy, survey
Organization: Office of the Australian Information Commissioner
HUN Mine footprints for timeseries

## **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 is a compilation of mine footprints for the Hunter subregion  from all sources as well as modified footprints for use in surface water modelling. All sourced footprints are contained in single shapefile comprising of many shapes representing the mine extent through time including future planned extensions defined in the CRDP. Overlapping polygons represent footprint areas across several timesteps. There are also version of the shapefile intersected with the BILO climate grid. 



ALL_sources_footprints_combined_20160511.shp

ALL_sources_footprints20160511_x_CatchSILO.shp

ALL_sources_footprints20160511_x_CatchSILO_dslv.shp

## **Dataset History** 

Polygons from all sources were assembled into this dataset using the MERGE and APPEND commands within ArcGIS10.1. The combined shapefile was intersected with the BILO climate cells using the INTERSECT command within ArcGIS10.1 and subsequently redundant boundaries were removed using the DISSOLVE command within ArcGIS10.1.

## **Dataset Citation** 

Bioregional Assessment Programme (2016) HUN Mine footprints for timeseries. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/1e18f597-c8dd-4dae-b460-de9f5ebb1c6a.

## **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** [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, Namoi subregion, New South Wales, environment, geoscientificInformation
Organization: Bioregional Assessment Program
Gippsland Basin Bioregional Assessment product 1.1 - Hydrostratigraphy

## **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.



The dataset shows the Hydrostratigraphy of the Gippsland Basin, and Moe Swamp and Tarwin sub-basins. It was derived from Schaeffer (2008), drawing also on the work of Pratt (1985), Brumley and Holdgate (1983) and Nicol (2010). The full citations are in History.

## **Purpose** 

The diagram provides an overview of the hydrostratigraphy of the Gippsland Basin (onshore), Tarwin Sub-basin and the Moe Swamp Sub-basin.

## **Dataset History** 

The diagram was created by Veronika Galinec at Geoscience Australia. Prior to this diagram, there was no diagram available in the literature to describe the hydrostratigraphy of all these elements together. The diagram is adapted from the work of Schaeffer (2008), Pratt, 1985 (Tarwin Sub-basin), Brumley and Holdgate, 1983 (Moe Swamp Sub-basin) and Nicol (2010).



Full citations:

Schaeffer J (2008) Scaling point based aquifer fata for developing regional groundwater models: application to the Gippsland groundwater system. University of Melbourne.



Pratt M (1985) Inverloch/Wonthaggi Groundwater Investigation - Final Report, February 1985, Unpublished Report 1985/24.



Brumley JC and Holdgate GR (1983) An assessment of the confined groundwater resources of the Moe Swamp Basin, Victoria, Australia. International Conference on Groundwater and Man, Sydney.



Nicol C (2010) Report on transient groundwater flow modelling: West Gippsland CMA. Report for 'ecoMarkets' groundwater models. In: Department of Sustainability and Environment (ed).

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Gippsland Basin Bioregional Assessment product 1.1 - Hydrostratigraphy. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/1c0f85a5-b04d-47c3-8c7b-4099a0bf4291.

## **Dataset Ancestors** 

* **Derived From** [Report: Pratt (1985) Inverloch/Wonthaggi Groundwater Investigation](https://data.gov.au/data/dataset/810d26c3-f496-4b61-9b7c-870e16aed339)

* **Derived From** [West Gippsland CMA groundwater model report.](https://data.gov.au/data/dataset/e6afeeae-5932-413a-aec8-11d9b48a2eda)

* **Derived From** [Report: Brumley & Holdgate (1983) An assessment of the confined groundwater resources of the Moe Swamp Basin, Victoria, Australia](https://data.gov.au/data/dataset/74a04188-fd60-4153-beb4-8f2ef5f8b10c)

* **Derived From** [Report: Schaeffer, J. (2008). Scaling point based aquifer data for developing regional groundwater models](https://data.gov.au/data/dataset/84ad9a40-7a08-4db6-9702-46712d37ccb6)



Tags: Gippsland Basin bioregion, Victoria, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
2016 SoE Antarctic environment Biological oxygen demand

This data shows the annual averages of biological oxygen demand in the effluent of Mawson and Casey for 2003–2015. The units are milligrams per litre (mg/L). Annual values are shown where there are 6 or more measurements available.
This data was sourced from the Australian Antarctic Division. Further information can be found at aad.gov.au. Data used by the Department of Environment and Energy to produce graph at Figure ANT14 in the Antarctic environment theme of the 2016 State of the Environment Report, available at 

https://soe.environment.gov.au/theme/antarctic-environment/topic/2016/australian-antarctic-programs-station-environment-operation#antarctic-environment-figure-14

Tags: 2016, 2016 SoE, Antarctic environment, Casey, Mawson, SoE, SoE Graph, State of the Environment, effluent, oxygen
Organization: State of the Environment
Drawdown Extent for the Klebb 1 well - De Glee method

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme. 

This resource is a shapefile representing the 0.2, 0.5 and 1 m drawdown extents derived by the de Glee method.



The parent 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.

## **Dataset History** 

This resource is a shapefile representing the 0.2, 0.5 and 1 m drawdown extents derived by the de Glee method. The calculations used to derive these distances from the pumping centre are given by The dataset "Cooper Basin Drawdown Calculations - De Glee method" (https://data.bioregionalassessments.gov.au/datastore/dataset/51323ab4-3613-47eb-acf3-3d89e8b9c062)

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) Drawdown Extent for the Klebb 1 well - De Glee method. Bioregional Assessment Derived Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/1be2af42-6a73-457f-ac29-cb52d06b0105.

## **Dataset Ancestors** 

* **Derived From** [Petroleum Wells](https://data.gov.au/data/dataset/54a47829-05db-443c-83e2-5bf0f3b53a99)

* **Derived From** [Discussion paper for Office of NSW Chief Scientist and Engineer: Water treatment and coal seam gas.](https://data.gov.au/data/dataset/714e35df-76bb-4a5d-b5d8-0fcc65329dfe)

* **Derived From** [Analysis and Evaluation of Pumping Test Data.](https://data.gov.au/data/dataset/c66b744e-e9bb-4d88-a82c-a6593efe91d2)

* **Derived From** [Cooper Basin Drawdown Calculations - De Glee method](https://data.gov.au/data/dataset/51323ab4-3613-47eb-acf3-3d89e8b9c062)

* **Derived From** [Onshore co-produced water: extent and management](https://data.gov.au/data/dataset/6b3d8096-f09d-40a2-b5ee-09c9f8b9bdfc)

* **Derived From** [Coal Resource Development Pathway (CRDP) Locations for the Cooper Subregion](https://data.gov.au/data/dataset/d82a737c-89b8-4e50-8973-47311ddd070f)



Tags: Cooper subregion, geoscientificInformation
Organization: Bioregional Assessment Program
Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014

## **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.



The dataset is six shapefiles and a merged version of all six for vegetation types identified as GDEs (Groundwater Dependent Ecosystems) supplied by the NSW Office of Water on 13/05/2014.



Vegetation in NSW of high ecological value having high probability of being groundwater dependent were identified through a process that used current vegetation data, depth to groundwater data, data that showed potential frequency of water use other than surface water based on a continuous 10 year period and expert opinion.



This dataset has been provided to the BA Programme for use within the programme only. Third parties may request a copy of the data from DPI Water (previously known as the NSW Office of Water). http://www.water.nsw.gov.au/.

## **Dataset History** 

Vegetation in NSW of high ecological value having high probability of being groundwater dependent were identified through a process that used current vegetation data, depth to groundwater data, data that showed potential frequency of water use other than surface water based on a continuous 10 year period and expert opinion. 



High Probability vegetation communities were identified as being of High Ecological Value when they sat within one or more selected datasets.



High Probability

1. Vegetation: obtained from Environment and Heritage (OEH)

2. Depth to groundwater: modelled data provided by Office of Water Hydrogeologists

3. Potential frequency of water use other than surface water based on a continuous 10 year period : This data set was created by Office of Water using remote sensing MODIS



High Ecological Value

1. National Parks and State Forests (OEH)

2. SEPP 14 & 26 (Dept Planning)

3. RAMSAR Wetlands (OEH)

4. Marine parks and aquatic reserves (OEH)

5. Identified rain forest communities (OEH)

6. Threatened or endangered species (OEH)

7. Wildlife corridors, Regional Conservation strategies or communities identified as being significant in various studies (Various Sources)

## **Dataset Citation** 

NSW Office of Water (2014) Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/1bdc6089-c114-4485-b962-35a8b3d2357f.

Tags: Gloucester subregion, Hunter subregion, New South Wales, biota
Organization: Bioregional Assessment Program
Geology 100K NSW selected mapsheets for Sydney Bioregion

## **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.



NSW 1:100K Geology downloaded from http://www.resources.nsw.gov.au/geological/geological-maps/. 

Selected mapsheets relevant to the BA_SYD Gloucester subregion and surrounds.Namely, Bulahdelah, Camberwell and Dungog.



Also, selected features (fault lines and Alluvial) taken from mapsheet data and merged into seamless extents.



Mainly used for illustrative purposes (maps) with faults lines and other extracted features potentially useful for modelling purposes.



Map name:	Bulahdelah, Camberwell, Dungog 1:100 000 Geological Map

Map Sheet Code:	9333,9133, 9233



Scale:	1:100 000

Year published:	1991

Edition:	First edition



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** 

For Report map image display.

## **Dataset History** 

Data is as sourced from http://www.resources.nsw.gov.au/geological/geological-maps. Fault line and alluvial features from respective mapsheet folders (Bulhdelah, Camberwell and Dungog) have been merged into single layers.

## **Dataset Citation** 

NSW Trade and Investment (2013) Geology 100K NSW selected mapsheets for Sydney Bioregion. Bioregional Assessment Source Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/19a28cab-2acb-4c9d-b265-1535158508f2.

Tags: Gloucester subregion, New South Wales, geoscientificInformation
Organization: Bioregional Assessment Program
Namoi NSW Office of Water groundwater licence BA purpose

## **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.



The aim of this dataset was to be able to map groundwater licences in the Namoi sub-region.



This has been clipped to the Namoi sub-region but not the Namoi PAE.. 



The dataset is an extract of all groundwater licences that fell within the data management acquisition area as provided by BA to NSW Office of Water. The licenses have been aggregated into the following categories: 'mining', 'general', 'industry', 'town water', 'irrigation', 'monitoring and test bore', 'stock and domestic' and 'not specified'.

## **Dataset History** 

The data set was derived from this dataset:



http://data.bioregionalassessments.gov.au/dataset/505e8a67-90b4-408a-aa0d-038a9fb14f42



It was clipped to the Namoi sub-region boundary and then the licence categories aggregated into "BA purpose":

mining

general

industry

town water

irrigation

monitoring and test bore

stock and domestic

not specified

## **Dataset Citation** 

Bioregional Assessment Programme (2015) Namoi NSW Office of Water groundwater licence BA purpose. Bioregional Assessment Derived Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/15a48026-27f1-4239-b278-32a23e34db5f.

## **Dataset Ancestors** 

* **Derived From** [NSW Office of Water Groundwater Entitlements Spatial Locations](https://data.gov.au/data/dataset/0f4da0d0-9e82-42f3-84da-1148e0b730c1)

* **Derived From** [NSW Office of Water Groundwater Licence Extract NIC-  Oct 2013](https://data.gov.au/data/dataset/808fd05a-f451-4170-a1d3-8439105c0273)

* **Derived From** [NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014)](https://data.gov.au/data/dataset/505e8a67-90b4-408a-aa0d-038a9fb14f42)



Tags: Namoi subregion, environment, geoscientificInformation, utilitiesCommunication
Organization: Bioregional Assessment Program
HUN RMS Model Topography 90m v01

## **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. 



The dataset contains the ESRI grid used in the Hunter RMS geological model relating to the surface topography based on the DEM data used in the groundwater modelling. The dataset consists of the grid used for the topography layer which represents the surface elevation from which the depths of model layers and formations within the model domain were measured. The grid was used in ArcGIS to show the surface elevation used in the RMS model.

## **Purpose** 

Used to visualize the topographic surface used in the Hunter geologic model.

## **Dataset History** 

The data set contains the topography grid exported from the RMS model for the Hunter RMS geological model. The grid was used in ArcGIS to show the surface elevation for the RMS model. Elevation values were derived from HUN GW modelling DEM v01(GUID: 	f0927e8a-cc41-419b-ae68-660d5d5fa47b) which in turn source the elevation data from the dataset Geoscience Australia, 3 second SRTM Digital Elevation Model (DEM) v01(GUID: 12e0731d-96dd-49cc-aa21-ebfd65a3f67a).

The model uses the measured elevations to determine the depths of model layers and formations within the model domain.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) HUN RMS Model Topography 90m v01. Bioregional Assessment Derived Dataset. Viewed 22 June 2018, http://data.bioregionalassessments.gov.au/dataset/14721c71-2d4a-4532-a866-a49d39ca3d62.

## **Dataset Ancestors** 

* **Derived From** [Geoscience Australia, 3 second SRTM Digital Elevation Model (DEM) v01](https://data.gov.au/data/dataset/12e0731d-96dd-49cc-aa21-ebfd65a3f67a)

* **Derived From** [HUN Geological Model Inputs CSIRO 2014 to 2015 v01](https://data.gov.au/data/dataset/e54a7708-3cd6-4d5f-b306-0cc9e3ae2c35)

* **Derived From** [Australian Coal Basins](https://data.gov.au/data/dataset/9d5a8d74-a201-42bd-9d49-3c392244be16)

* **Derived From** [Bathymetry GA 2009 9sec v4](https://data.gov.au/data/dataset/60fb8bf5-b97d-49c9-b7fb-e7d594d2c75b)

* **Derived From** [Hunter Groundwater Model extent](https://data.gov.au/data/dataset/6d4a8c97-f7ea-4840-9de9-af6f7b18b8d6)

* **Derived From** [HUN Deep Wells Biomarkers v01](https://data.gov.au/data/dataset/24dc9764-79bc-4887-9b47-0f1206f9b8da)

* **Derived From** [Hunter deep well completion reports](https://data.gov.au/data/dataset/f2df86d5-6749-48c7-a445-d60067109f08)

* **Derived From** [South Sydney Deep Well Completion Reports](https://data.gov.au/data/dataset/dbeba812-8f42-4377-a178-608deaf82811)

* **Derived From** [HUN GW modelling DEM v01](https://data.gov.au/data/dataset/f0927e8a-cc41-419b-ae68-660d5d5fa47b)



Tags: Hunter subregion, New South Wales, economy, elevation, geoscientificInformation, imageryBaseMapsEarthCover
Organization: Bioregional Assessment Program