As of 31 August 2022, the Australian Bureau of Statistics has only released the _{2021 census Mesh Block dwelling counts} as an _{Excel file}, with data stratified across 12 worksheets. This is inconvenient for users who wish to link this data with digital boundaries, and not useful for data posterity. In addition to completing a feedback survey for the ABS, suggesting that a CSV download should be provided (which the Excel file itself suggests is the case in its Explanatory Notes, and was the case with the 2011 and 2016 census releases), I thought it would be useful to take the time to compile these and make them public for myself and others until an official release is produced. This repository contains the code to combine the 12 worksheets into a single national CSV file, as well as state-stratified CSV files of Mesh Block dwelling and person counts, along with the resulting data outputs. The code is also published in a Jupyter Notebook at https://github.com/carlhiggs/abs_mesh_block_counts_csv/blob/main/ABS Mesh Block counts to CSV.ipynb Users of the data should note, "Cells ... have been randomly adjusted to avoid the release of confidential data.". The data is © Commonwealth of Australia 2022, and data was made available by the Australian Bureau of Statistics under a _{Creative Commons Attribution 4.0 International licence} as per _{https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons}.

Data from 16S analysis of dust

Data from 16S analysis of dust

The 2018 Australian National Liveability Study dataset comprises a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities. The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The address level dataset was produced through analysis of built environment and social data from multiple sources including OpenStreetMap and the Australian Bureau of Statistics, and is provided in geopackage format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020.
The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.

Dataset for Air-writing recognition based on Ultrawideband Radar Sensor (Xethru X4-M03 from Novelda). The collected dataset includes air-written numbers from 0 to 9 using a uni-stroke writing technique. The Dataset contains 4 sub-folders and a MATLAB script. The dataset ia provided in CSV, MAT, and PNG formats. Please read the attached Dataset Description pdf file to understand the radar dataset collection setup, the included folders, the data format, and how to use the data for the air-writing recognition application.

Dataset for Air-writing recognition based on Ultrawideband Radar Sensor (Xethru X4-M03 from Novelda). The collected dataset includes air-written numbers from 0 to 9 using a uni-stroke writing technique. The Dataset contains 4 sub-folders and a MATLAB script. The dataset ia provided in CSV, MAT, and PNG formats. Please read the attached Dataset Description pdf file to understand the radar dataset collection setup, the included folders, the data format, and how to use the data for the air-writing recognition application.

Dataset for Air-writing recognition based on Ultrawideband Radar Sensor (Xethru X4-M03 from Novelda). The collected dataset includes air-written numbers from 0 to 9 using a uni-stroke writing technique. The Dataset contains 4 sub-folders and a MATLAB script. The dataset ia provided in CSV, MAT, and PNG formats. Please read the attached Dataset Description pdf file to understand the radar dataset collection setup, the included folders, the data format, and how to use the data for the air-writing recognition application.

The final Australian National Liveability Study 2018 datasets comprise a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities, and summarised at range of larger area scales (Mesh Block, Statistical Areas 1-4, Suburb, LGA, and overall city summaries). The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The datasets were produced through analysis of built environment and social data from multiple sources including OpenStreetMap the Australian Bureau of Statistics, and public transport agency GTFS feed data. These are provided in CSV format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020. The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.

The final Australian National Liveability Study 2018 datasets comprise a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities, and summarised at range of larger area scales (Mesh Block, Statistical Areas 1-4, Suburb, LGA, and overall city summaries). The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The datasets were produced through analysis of built environment and social data from multiple sources including OpenStreetMap the Australian Bureau of Statistics, and public transport agency GTFS feed data. These are provided in CSV format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020. The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.

As of 31 August 2022, the Australian Bureau of Statistics has only released the _{2021 census Mesh Block dwelling counts} as an _{Excel file}, with data stratified across 12 worksheets. This is inconvenient for users who wish to link this data with digital boundaries, and not useful for data posterity. In addition to completing a feedback survey for the ABS, suggesting that a CSV download should be provided (which the Excel file itself suggests is the case in its Explanatory Notes, and was the case with the 2011 and 2016 census releases), I thought it would be useful to take the time to compile these and make them public for myself and others until an official release is produced. This repository contains the code to combine the 12 worksheets into a single national CSV file, as well as state-stratified CSV files of Mesh Block dwelling and person counts, along with the resulting data outputs. The code is also published in a Jupyter Notebook at https://github.com/carlhiggs/abs_mesh_block_counts_csv/blob/main/ABS Mesh Block counts to CSV.ipynb Users of the data should note, "Cells ... have been randomly adjusted to avoid the release of confidential data.". The data is © Commonwealth of Australia 2022, and data was made available by the Australian Bureau of Statistics under a _{Creative Commons Attribution 4.0 International licence} as per _{https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons}.