AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Admissions - Principal Diagnosis - External Cause: Females  (PHA) 2017-2018

This dataset, released June 2020, contains data related to hospital admissions for females during 2017-2018 by a principal diagnosis of injury or poisoning, by an external cause. The causes include transport crash injury, accidental poisoning, falls, injury due to exposure to inanimate or animate mechanical forces, intentional self-harm, assault and some other diagnosis of injury or poisoning(by external cause). This includes data for both Public hospitals and All hospitals. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 30 June 2018.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
TERN Weekly Pollen Count - University of Melbourne, Parkville, Victoria 2009-2011

The datafile, published by the Terrestrial Ecosystem Research Network (TERN) contains the composition and abundance of airborne pollen collected at the University of Melbourne campus at Parkville, Melbourne, Australia for the MAPCAH study. The data were collected between September 2009 and December 2011 as part of a research program looking at the relationship between airborne pollen and asthma exacerbations in children and adolescents (see Erbas et al. (2012) A case cross over design to examine the role of aeroallergens and respiratory viruses on childhood asthma requiring hospitalization; the MAPCAH study J. Biomet Biostat doi 21556180.s7-018). These data have been included as part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbigin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas” ).
The September 2009-December 2011 pollen counts were performed using a Burkard 7-day recording volumetric trap (Burkard Manufacturing Co. Ltd., Rickmansworth, Hertfordshire, UK). Airborne pollen grains were trapped on an adhesive (Dow Corning Sylgard 527 silicone dielectric gel) coated tape or a glass microscope slide by intake of air at a flow of 10 l min-1. A microscope slide was used between October and December and transparent plastic MelinexTM tape was used at other times. The glass slide was changed daily and tape changed on a weekly basis and cut into seven pieces, each representing a 24 hr period. The pieces of tape were then individually mounted on glass microscope slides. Pollen grains were stained with Calberla's stain and counted using a light microscope by randomly scanning the length of the tape (lengthwise traverse). The different types of pollen on the slide were identified using in-house materials and the daily concentration of each pollen type expressed as the average number of pollen grains m-3 of air for the preceding 24 hr period.
For more information please visit the Australian Centre for Ecological Analysis and Synthesis (ACEAS) Data Portal.
Please note: 


AURIN has spatially enabled the original data, acquired via the ACEAS Data Portal with permission from TERN.


This dataset allows you to filter the data by the date of collection.



Tags: airborne, atmosphere, environement, health, melbourne, pollen
Organization: Terrestrial Ecosystem Research Network
AEDC - Emotional Maturity (SA2 Modified) 2009-2018

This dataset contains information from the 'Emotional maturity' domain of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on modified 2016 Statistical Areas Level 2 (SA2) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.
Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


Less than two teachers had completed AEDC instruments for children in that location


AEDC instruments were completed for less than 80% of all non special needs children
Additional minor suppression's have occurred where necessary to preserve confidentiality of related suppressed cells.


Please Note:


AURIN has spatially enabled the original data.


Some AEDC results were captured across two SA2 regions, AURIN has created a custom geometry combining the relevant SA2 boundaries for these results.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census
PHIDU - Age Distribution - Broad Age Groups: Males (PHA) 2019

This dataset, released September 2020, contains male usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2019. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on ABS 3235.0 Population by Age and Sex, Regions of Australia, 30 June 2019. 
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-G44a Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families-Census 2016

SA3 based data for Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families, in General Community Profile (GCP), 2016 Census. Count of dependent children in couple families. Comprises children aged under 15 years and dependent students aged 15-24 years who were present at their usual residence on Census Night. Comprises couple families with both parents present at their usual residence on Census Night. Excludes same-sex couples. G44 is broken up into 6 sections (G44a - G44f), this section contains 'Dependent children Aged 0-4 years Female parent Employed worked Full-time Male parent Employed Worked Full-time' - 'Dependent children Aged 5-9 years Female parent Total Employed Male Parent Unemployed Looking For Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, couple family, dependent children, g44a, gcp, general community profile, labour force, parent, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B32 Tenure Type and Landlord Type by Dwelling Structure as at 2011-08-11

LGA11 based data for Tenure Type and Landlord Type by Dwelling Structure, for 2011 Census. Count of Count of occupied private dwellings on Census night based on place of usual residence. Excludes 'Visitors only' and 'Other non-classifiable' households. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscience Australia - National Liquid Fuel Depots 2015

This dataset presents locations of liquid fuel depots in Australia. The liquid fuel depots were digitized in 2012 from the library of imagery held within Geoscience Australia. Imagery used ranged from 0.15m resolution aerial photos to 2.5m resolution satellite images. The first version of this database was subsequently released on the GA website in March 2015.
For more information please visit the Geoscience Australia Web Service Portal.
Please note: 

This dataset is a snapshot of Geoscience Australia's web service dataset as on 2019-02-15


Tags: built, infrastructure
Organization: Government of the Commonwealth of Australia - Geoscience Australia
SA3-G17c Total Personal Weekly Income by Age by Sex-Census 2016

SA3 based data for Total Personal Income (Weekly) by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. G17 is broken up into 3 sections (G17a - G17c), this section contains 'Persons $1000-$1249 Age 15-19 years' - 'Persons Total Total'.The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, g17c, gcp, general community profile, personal income, sa3, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P39c Non-School Qualification: Field of Study by Age by Sex-Census 2016

SA4 based data for Non-School Qualification: Field of Study by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over with a qualification (excludes overseas visitors). Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). P39 is broken up into three sections (P39a - P39c), this section contains 'Persons Total Age 55-64 years' - 'Persons Total Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, education, field of study, non-school, p39c, pep, place of enumeration profile, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscience Australia - NEXIS - Residential Building Exposure (LGA) 2020

This dataset presents information about residential building exposure in Australia from the 11th version of the National Exposure Information System (NEXIS), a modelling capability designed by Geoscience Australian (GA) to provide comprehensive and nationally consistent exposure information. This enabled users to better understand the potential elements at risk in Australia.
This data is aggregated by the Australian Bureau of Statistics (ABS) Local Government Area (LGA) 2020 boundaries.
For more information please visit the Geoscience Australia Product catalogue or the Nexis Building Exposure Metadata Document.
AURIN has spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) LGA 2020 dataset.

Tags: HUMAN SOCIETY, Human geography
Organization: Government of the Commonwealth of Australia - Geoscience Australia
ABS Census - E33 Labour Force Status (Part-Time/Full-Time) By Sex Of Sole Parents (LGA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to labour force status (part-time/full-time) by sex of sole parents. Counts are of one parent families, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:


(a) Full-time is defined as having worked 35 hours or more in the main job held last week.


(b) Comprises families where the sole parent was employed but did not state his/her hours worked.


(c) Comprises families where the sole parent did not state his/her labour force status.



Tags: 1991, census, community, e33, ecp, expanded, labour force, profiles, sole parent
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - E36 Family Type By Birthplace Of Parent(S) By Age Of Offspring (LGA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to family type by birthplace of parent(s) by age of offspring. Counts are of offspring counted at home on census night, based on place of enumeration on census night which; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:


(a) Comprises England, Scotland, Wales, Northern Ireland, Ireland, South Africa, Canada, USA and New Zealand.


(b) Comprises offspring where the birthplace of one or both parents was not stated or a parent was temporarily absent.



Tags: 1991, birthplace, census, community, e36, ecp, expanded, parents, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Business Establishments Names and Industries (Point) 2015

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows business establishments with their trading name, industry (ANZSIC4) classification, location and CLUE block and small area allocation. The data covers the year period of 2015.
A business establishment is defined as a 


Commercial occupant in a building


Separate land use


Any permanent presence of economic activity in accordance with standard Industry classification (ANZSIC).


Hence, if one organisation has its presence in several buildings in the CLUE area, each time it will be counted as a separate establishment. Consequently, the count of establishments presented in CLUE represents the number of locations, rather than 'enterprises'.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has acquired the data through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.



Tags: 2015, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
City of Melbourne CLUE Building Information (Point) 2008

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows selected building attributes including location, construction year, refurbished year, number of floors above ground, predominant space use, bicycle/shower facilities and building accessibility. Building accessibility data is collected to track accessibility for internal City of Melbourne purposes. This data is provided as a community service by the City of Melbourne. It is not and does not purport to be a complete guide. There may be errors or omissions. The data covers the year period of 2008.
For more information please visit the City of Melbourne CLUE Portal.
Please note: 


AURIN has acquired the data through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.



Tags: 2008, accessibility, building, census, clue, information, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Mothers and Babies (PHN) 2010-2015

This dataset, released April 2017, contains mother and babies statistics relating to Low birth weight babies, 2012 to 2014; Smoking during pregnancy, 2012 to 2014; Breastfeeding (modelled estimates), 2014-15; Fully breastfed babies at 3 and 6 months, 2014-15; Children who first ate soft, semi-solid or solid food before 4 months of age, 2014-15. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on data from: NSW Department of Health; Consultative Council on Obstetric andPaediatric Mortality and Morbidity, Victoria; Perinatal Data Collection, Department of Health, Queensland;Department of Health and Ageing SA; WA Department of Health; Tasmanian Perinatal Database; NT Department ofHealth; ACT Health.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA1-G58b Occupation by Hours Worked by Sex-Census 2016

SA1 based data for Occupation by Hours Worked by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G58 is broken up into two sections (G58a-G58b) this section contains 'Persons Managers Number of hours worked None' - 'Persons Total Total'. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, census, g58b, gcp, general community profile, hours, occupation, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B43A Industry of Employment by Age by Sex as at 2011-08-11

LGA11 based data for Industry of Employment by Age by Sex, for 2011 Census. Count of employed persons aged 15 years and over on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G23a Relationship in Household by Age by Sex-Census 2016

SA3 based data for Relationship in Household by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons in occupied private dwellings categorised by the relationship of each person in a family to the family reference person or, where a person is not part of a family, that person's relationship to the household reference person. Excludes persons in 'Visitors only' and 'Other non-classifiable' households.  Includes same sex couples. G23 is broken up into 2 sections (G23a - G23b), this section contains 'Males Husband in a registered marriage Age  15-24 years' - 'Females Unrelated individual living in family household Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, composition, g23a, gcp, general community profile, household, relationship, sa3, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Prevalence of Selected Health Risk Factors - Children and Youth (PHN) 2017-2018

This dataset, released January 2020, contains data pertaining to Overweight and obesity (children) (modelled estimates), 2017-2018; Fruit consumption (children) (modelled estimates), 2017-18.  The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit