AndreaBozzo/ceres-open-data-index huggingface dataset:
2022 Election commitments report

This dataset contains detailed tables showing budget impacts of election commitments made by each major party (the Coalition, Australian Labor Party and Australian Greens) in the 2022 general election, as well as for the independent member for Indi, who chose be included in the report This data is as published in the Parliamentary Budget Office's **[2022 Election commitments report](https://www.aph.gov.au/About_Parliament/Parliamentary_departments/Parliamentary_Budget_Office/General_elections/Next_general_election/2022_Election_commitments_report)**.

The dataset contains the individual impact on the budget of each election commitment and the total impact of each party's election platform, as well as the resulting final level of the underlying cash balance, fiscal balance and headline cash balance.


Full costing documentation is available on the **[PBO website](https://www.aph.gov.au/About_Parliament/Parliamentary_departments/Parliamentary_Budget_Office/General_elections/Next_general_election/2022_Election_commitment_costings)**.

For more detail about the terms used in this publication see the **[Online budget glossary](https://www.aph.gov.au/About_Parliament/Parliamentary_departments/Parliamentary_Budget_Office/Online_Budget_Glossary)** on the PBO website.

Tags: 2022 general election, Australian Government, Parliamentary Budget Office, election commitments
Organization: Parliamentary Budget Office
IPGOD2021 [SUPERSEDED]

# Intellectual Property Government Open Data (IPGOD) 2021

IPGOD—Intellectual Property Government Open Data—is a publicly available data set that provides access to over 100 years of information from IP Australia on IP rights applications. By providing a ‘one-stop shop’ for administrative data, it allows you to research the classification of IP rights, linkages between Australian and international IP rights, and the history of IP transfers and exchanges across time.

IPGOD covers each of the four types of IP rights administered by IP Australia (patents, trade marks, designs and plant breeder’s rights) and captures the application process and its results. This includes the type of IP right applied for, key dates and events, and the names of applicants, their agents and other associated parties. It also contains additional information, such as grouped/harmonised names for parties, and their Australian Business Numbers (ABNs) where available.

IPGOD was first released in 2014 and is updated annually.

You can choose to download a particular table for a particular right type below or you can download all of IPGOD2021 by downloading and extracting the zip file below.

Tags: Administrative Data, Commercial Services not elsewhere classified, Designs, Intellectual Property Government Open Data, Intellectual Property Law, Research Science and Technology Policy, business, business and industry, intellectual property, patents, plant breeders right, trade marks
Organization: IP Australia
Corangamite Shire Halls

Location information for Corangamite Shire Halls. Dataset contains information on building asset name, description, suburb, asset type, road name, long, lat.

Although all due care has been taken to ensure that this data is correct, no warranty is expressed or implied by the Corangamite Shire for its accuracy or in its use.

Tags: hall, public hall
Organization: Corangamite Shire Council
GAL Assessment Units 1000m 20160522 v01

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.



To ensure efficiency for processing speed and rendering this is a clip of the Vector Reference grid for the GAL region.

It was created with a 50km buffer of the extent of the Hunter PAE and then selecting all grid cells that intersect with the extent.

The unique ID field for each grid cell is AUID and starts from 1 in the reference grid. The grid also has a column id and row for easy reference

The grid is in Australia Albers (GDA94) (EPSG 3577)

## **Purpose** 

This is an attempt to standardise (where possible) outputs of models from BA assessments and is the template to be used for GAL (clipped from whole of BA reference Grid) for the groundwater and potentially surface water model outputs.

## **Dataset History** 

The minimum bounding geometry tool in ArcGIS 10.1 was used to return the extent of the Bioregion boundary. This was then buffered with a 50km radius.

The select location tool in ArcGIS 10.1 was then used to select all gridcells within the buffered extent.

An export of the grid cells was then created to produce a rectangle reference grid of the GAL region.

The file contains 2 shape files 

1) The grid cells clipped to the boundary

2) The boundary extents as a reference of the Region

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) GAL Assessment Units 1000m 20160522 v01. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/96dffeea-5208-4cfc-8c5d-408af9ac508e.

## **Dataset Ancestors** 

* **Derived From** [BA ALL Assessment Units 1000m Reference 20160516_v01](https://data.gov.au/data/dataset/d044b1d9-40b0-4fc3-ae43-099cc7b96497)

* **Derived From** [BA ALL Assessment Units 1000m 'super set' 20160516_v01](https://data.gov.au/data/dataset/6c1aa99e-c973-4472-b434-756e60667bfa)



Tags: Galilee subregion, imageryBaseMapsEarthCover, location
Organization: Bioregional Assessment Program
GAL Surface water nodes for Risk and Impact Database 20170804

## **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 is a point shapefile representing a subset of monitoring gauges for the Galilee subregion that shows geographical locations of simulation nodes used in the surface water model.

## **Dataset History** 

The dataset is a point geometry shapefile and is a subset of the source data to provide locations of simulation nodes relevant to the impact and risk database.

## **Dataset Citation** 

Bioregional Assessment Programme (2017) GAL Surface water nodes for Risk and Impact Database 20170804. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/c93a2c47-1ab0-4aea-b075-2c9fc3c0b807.

## **Dataset Ancestors** 

* **Derived From** [Onsite and offsite mine infrastructure for the Carmichael Coal Mine and Rail Project, Adani Mining Pty Ltd 2012](https://data.gov.au/data/dataset/919b188a-9531-46a5-a644-a0b068ef7a83)

* **Derived From** [Alpha Coal Project Environmental Impact Statement](https://data.gov.au/data/dataset/dba3cce8-f2c2-4e95-b74b-e5791dda6efa)

* **Derived From** [QLD Exploration and Production Tenements (20140728)](https://data.gov.au/data/dataset/f7a62ed3-0e04-4974-9072-c331798d00d2)

* **Derived From** [China Stone Coal Project initial advice statement](https://data.gov.au/data/dataset/2f26441d-f184-4a1e-80a2-6b636a26d4d4)

* **Derived From** [Kevin's Corner Project Environmental Impact Statement](https://data.gov.au/data/dataset/e8293ba3-f5bb-42ef-9704-be7beb19d5f0)

* **Derived From** [Galilee surface water modelling nodes](https://data.gov.au/data/dataset/9b6983dc-0ee8-431f-9ac2-4ecc7ec2f631)

* **Derived From** [Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale](https://data.gov.au/data/dataset/310c5d07-5a56-4cf7-a5c8-63bdb001cd1a)

* **Derived From** [China First Galilee Coal Project Environmental Impact Assessment](https://data.gov.au/data/dataset/430086cc-9cc2-4cad-a21d-ca3eb920bee4)

* **Derived From** [Seven coal mines included in Galilee surface water modelling](https://data.gov.au/data/dataset/b78b7fd2-0ba4-4f27-85e0-001e7731e00b)



Tags: Galilee subregion, economy, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
GAL Groundwater modelling nodes for Risk and Impact Analysis 20170616

## **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.

## **Dataset History** 

The dataset was created by intersecting the Assessment Units with the Groundwater modelling nodes and selecting the node nearest to the centroid of the Assessment unit. A manually created bounding box that included the area of the Zone of Potential Hydrological Change was applied. The operation created a point based shape file.

## **Dataset Citation** 

Bioregional Assessment Programme (2017) GAL Groundwater modelling nodes for Risk and Impact Analysis 20170616. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/ff532ea4-3a51-4aab-a296-f5515dd1ee8d.

## **Dataset Ancestors** 

* **Derived From** [Surface Geology of Australia, 1:2 500 000 scale, 2012 edition](https://data.gov.au/data/dataset/4a91fff8-ed51-4994-b358-066497e25c8c)

* **Derived From** [Galilee model HRV receptors gdb](https://data.gov.au/data/dataset/ee766aad-3849-4a5a-92b7-ff4098bd874e)

* **Derived From** [Galilee groundwater numerical modelling AEM models](https://data.gov.au/data/dataset/2698f3c2-b8d4-4b4e-899c-d50e0e1aac1f)

* **Derived From** [Galilee Hydrological Response Variable (HRV) model](https://data.gov.au/data/dataset/facb2291-249c-4903-93ce-d9c3f83e7640)

* **Derived From** [Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale](https://data.gov.au/data/dataset/310c5d07-5a56-4cf7-a5c8-63bdb001cd1a)

* **Derived From** [GAL Assessment Units 1000m 20160522 v01](https://data.gov.au/data/dataset/96dffeea-5208-4cfc-8c5d-408af9ac508e)

* **Derived From** [BA ALL Assessment Units 1000m 'super set' 20160516_v01](https://data.gov.au/data/dataset/6c1aa99e-c973-4472-b434-756e60667bfa)

* **Derived From** [BA ALL Assessment Units 1000m Reference 20160516_v01](https://data.gov.au/data/dataset/d044b1d9-40b0-4fc3-ae43-099cc7b96497)



Tags: Galilee subregion, economy, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
GAL_IMIA234_FootprintsIMIA_20170525

## **Abstract** 

The dataset was derived by the Bioregional Assessment Programme from the Queensland Government exploration and production tenements. 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.

## **Dataset History** 

The footprints polygons was interested by the assessment unit and columns selected and renamed according to the IMIA Project Naming Convention.

## **Dataset Citation** 

XXXX XXX (2017) GAL_IMIA234_FootprintsIMIA_20170525. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/09765d07-8171-4284-ba33-9fb205e6ae01.

## **Dataset Ancestors** 

* **Derived From** [Onsite and offsite mine infrastructure for the Carmichael Coal Mine and Rail Project, Adani Mining Pty Ltd 2012](https://data.gov.au/data/dataset/919b188a-9531-46a5-a644-a0b068ef7a83)

* **Derived From** [Alpha Coal Project Environmental Impact Statement](https://data.gov.au/data/dataset/dba3cce8-f2c2-4e95-b74b-e5791dda6efa)

* **Derived From** [QLD Exploration and Production Tenements (20140728)](https://data.gov.au/data/dataset/f7a62ed3-0e04-4974-9072-c331798d00d2)

* **Derived From** [China Stone Coal Project initial advice statement](https://data.gov.au/data/dataset/2f26441d-f184-4a1e-80a2-6b636a26d4d4)

* **Derived From** [Kevin's Corner Project Environmental Impact Statement](https://data.gov.au/data/dataset/e8293ba3-f5bb-42ef-9704-be7beb19d5f0)

* **Derived From** [GAL Assessment Units 1000m 20160522 v01](https://data.gov.au/data/dataset/96dffeea-5208-4cfc-8c5d-408af9ac508e)

* **Derived From** [China First Galilee Coal Project Environmental Impact Assessment](https://data.gov.au/data/dataset/430086cc-9cc2-4cad-a21d-ca3eb920bee4)

* **Derived From** [BA ALL Assessment Units 1000m 'super set' 20160516_v01](https://data.gov.au/data/dataset/6c1aa99e-c973-4472-b434-756e60667bfa)

* **Derived From** [BA ALL Assessment Units 1000m Reference 20160516_v01](https://data.gov.au/data/dataset/d044b1d9-40b0-4fc3-ae43-099cc7b96497)

* **Derived From** [GAL262 mine footprints](https://data.gov.au/data/dataset/3e19819b-6dc8-4482-b784-762a91d0bcb4)



Tags: Galilee subregion, economy, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program
Regional Ecosystems non-Floodplain ZOPHC description 280817

## **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 was created to display only those ecosystems that overlay the floodplain polygons for the ZOPHC.

## **Dataset History** 

Dataset created by clipping the Regional ecosystems dataset (re13) with the non-floodplain polygons selected from the 20160908 landscape class data to produce a dataset showing regional ecosystems where there are no floodplains.This dataset was then clipped to the ZOPHC.

This dataset was then joined using re1_stem with re_id in QLD_regional_ecosystems.xlsx to bring in the description field to enable it to be mapped.

## **Dataset Citation** 

Bioregional Assessment Programme (2017) Regional Ecosystems non-Floodplain ZOPHC description 280817. Bioregional Assessment Derived Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/559e93cc-74fa-4157-a7bc-2db6d2979f3d.

## **Dataset Ancestors** 

* **Derived From** [Queensland wetland data version 3 - wetland areas.](https://data.gov.au/data/dataset/2a187a00-b01e-4097-9ca4-c9683e7f4786)

* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)

* **Derived From** [Queensland Regional Ecosystems](https://data.gov.au/data/dataset/d644de21-13f9-4689-acda-47fff61cfc1d)

* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)

* **Derived From** [Queensland groundwater dependent ecosystems](https://data.gov.au/data/dataset/10940dfa-d7ef-44fb-8ac2-15d75068fff8)

* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)

* **Derived From** [Multi-resolution Valley Bottom  Flatness MrVBF at three second resolution CSIRO 20000211](https://data.gov.au/data/dataset/7dfc93bb-62f3-40a1-8d39-0c0f27a83cb3)

* **Derived From** [Landscape classification of the Galilee preliminary assessment extent](https://data.gov.au/data/dataset/80e7b80a-23e4-4aa1-a56c-27febe34d7db)

* **Derived From** [Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld](https://data.gov.au/data/dataset/9b7bcebf-8b7f-4fb4-bc91-d39f1bd960cb)



Tags: Galilee subregion, biota
Organization: Bioregional Assessment Program
National Forest and Sparse Woody Vegetation Data (Version 6.0 - 2021 Release)

Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from 1988 to 2021. A forest is defined as woody vegetation with a minimum 20 per cent canopy cover, at least 2 metres high and a minimum area of 0.2 hectares. Sparse woody is defined as woody vegetation with a canopy cover between 5-19 per cent.

The three-class classification (forest, sparse woody and non-woody) supersedes the two-class classification (forest and non-forest) from 2016. The new classification is produced using the same approach in terms of time series processing (conditional probability networks) as the two-class method, to detect woody vegetation cover. The three-class algorithm better encompasses the different types of woody vegetation across the Australian landscape.

Tags: Environment, Environmental Monitoring, forest cover, land cover, national GHG inventory, remote sensing, vegetation
Organization: Australian Government Department of Climate Change, Energy, the Environment and Water
Charts of climate statistics and MODIS data for all subregions 2014

## **Abstract** 





This dataset was derived by the Bioregional Assessment Programme from 'Mean climate variables for all subregions' and 'fPAR derived from MODIS for BA subregions'. 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.



These are charts of climate statistics and MODIS data for each BA subregion. There are six 600dpi PNG files per subregion, with the naming convention BA-\[regioncode\]-\[subregioncode\]-\[chartname\].png. The charts, according to their filename, are: rain (time-series of rainfall; Figure 1), P-PET (average monthly precipitation and potential evapotranspiration; Figure 2), 5line (assorted monthly statistics; Figure 3), trend (monthly long-term trends; Figure 4) and fPAR (fraction of photosynthetically available radiation - an indication of biomass; Figure 5).

## **Purpose** 

These charts were generated to be included in the Contextual Report (geography) for each subregion.

## **Dataset History** 





These charts were generated using MatPlotLib 1.3.0 in Python 2.7.5 (Anaconda distribution v1.7.0 32-bit). 



The script for generating these plots is BA-ClimateCharts.py, and is packaged with the dataset. This script is a data collection and chart drawing script, it does not do any analysis. The data are charted as they appear in the parent datasets (see Lineage). A word document (BA-ClimateGraphs-ReadMe) is also included. This document includes examples of, and approved captions for, each chart.

## **Dataset Citation** 

Bioregional Assessment Programme (XXXX) Charts of climate statistics and MODIS data for all subregions 2014. Bioregional Assessment Derived Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/92a6b1ab-037d-4f0c-8117-937c1673e274.

## **Dataset Ancestors** 

* **Derived From** [Mean climate variables for all subregions](https://data.gov.au/data/dataset/3f568840-0c77-4f74-bbf3-6f82d189a1fc)

* **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** [fPar derived from MODIS for BA subregions](https://data.gov.au/data/dataset/299ec634-2919-4838-a163-a6804b95438c)



Tags: Australia, Gloucester subregion, Hunter subregion, biota, climatologyMeteorologyAtmosphere
Organization: Bioregional Assessment Program
GAL Surface Water Reaches for Risk and Impact Analysis 20180803

## **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.

## **Dataset History** 

Stream network constructed and defined using datasets shown in the Lineage.

The stream network constructed using surface water nodes to define reaches and the the classification was assigned by using the data from the stream network from the lineage and then assigned the following classfication: 

1.	surface water change due to hydrology

2.	no change modelled at link node within PAE

3.	modelled no change at link node

4.	modelled change at link node

5.     assumed change due to proximity to mine pit

6.     assumed change due to hydrology

Further tie-breaks were decide based on stream order or stream segment length.

## **Dataset Citation** 

Bioregional Assessment Programme (2017) GAL Surface Water Reaches for Risk and Impact Analysis 20180803. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/64c4d16f-bdfa-4fd6-bd72-c459503003bd.

## **Dataset Ancestors** 

* **Derived From** [Onsite and offsite mine infrastructure for the Carmichael Coal Mine and Rail Project, Adani Mining Pty Ltd 2012](https://data.gov.au/data/dataset/919b188a-9531-46a5-a644-a0b068ef7a83)

* **Derived From** [Alpha Coal Project Environmental Impact Statement](https://data.gov.au/data/dataset/dba3cce8-f2c2-4e95-b74b-e5791dda6efa)

* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)

* **Derived From** [QLD Exploration and Production Tenements (20140728)](https://data.gov.au/data/dataset/f7a62ed3-0e04-4974-9072-c331798d00d2)

* **Derived From** [China Stone Coal Project initial advice statement](https://data.gov.au/data/dataset/2f26441d-f184-4a1e-80a2-6b636a26d4d4)

* **Derived From** [Kevin's Corner Project Environmental Impact Statement](https://data.gov.au/data/dataset/e8293ba3-f5bb-42ef-9704-be7beb19d5f0)

* **Derived From** [Galilee surface water modelling nodes](https://data.gov.au/data/dataset/9b6983dc-0ee8-431f-9ac2-4ecc7ec2f631)

* **Derived From** [Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale](https://data.gov.au/data/dataset/310c5d07-5a56-4cf7-a5c8-63bdb001cd1a)

* **Derived From** [China First Galilee Coal Project Environmental Impact Assessment](https://data.gov.au/data/dataset/430086cc-9cc2-4cad-a21d-ca3eb920bee4)

* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)

* **Derived From** [Seven coal mines included in Galilee surface water modelling](https://data.gov.au/data/dataset/b78b7fd2-0ba4-4f27-85e0-001e7731e00b)



Tags: Galilee subregion, economy, geoscientificInformation, inlandWaters
Organization: Bioregional Assessment Program