AndreaBozzo/ceres-open-data-index huggingface dataset:
QED - School Disciplinary Absences by Region (Polygon) 2007-2011

This dataset presents the footprint of School Disciplinary Absences for Queensland state schools by year and absence type. The data is aggregated to the Department of Education, Training and Employment (DETE) regions and spans the years of 2007-2011.
State schools are required to report School Disciplinary Absences (SDA) for the school year in their School Annual Report. There are 4 categories of SDA: short suspension (1-5 days), long suspension (6-20 days), suspensions with proposal/recommendation for exclusion and cancellations of enrolment. A student may be suspended or excluded from a state school or schools because of disobedience, misconduct or other conduct that is prejudicial to the good order and management of the school. A student may also be excluded from a state school for contravention of a Behaviour Improvement Condition. Suspension prohibits a student from attending an educational institution for a nominated period of time (from 1-5 days or 6-20 days). Decisions to suspend a student are made by individual state school principals.
For further information about this dataset, please visit the Queensland Department of Education - School Disciplinary Absences.
Please note:


AURIN has spatially enabled this data using the Departmental Geographic Regions.


Data is made available through a AURIN-QCIF-RIDL collaboration.


On 5 November 2010, state school principals were given the power to exclude students from their school. They may recommend the decision to their supervisor if they believe it is inappropriate for them to make the decision.


The information is displayed in terms of aggregate counts of incidents. These data do not represent the outcomes of any related appeal decisions.


The enrolment figures are counts of full-time students which are sourced from the annual August Student Census.


School Disciplinary Absence incident counts from 2006 to Semester 1, 2009 were verified by principals when the School Disciplinary Absence Collection system (SDAC) was decommissioned in June 2009. Since Semester 2, 2009 the data source for SDA data has been from OneSchool. This data is validated by the department with school principals at time of collection.



Tags: education
Organization: Government of Queensland - Department of Education
VIC DELWP - Victoria in Future 2016 - ERP by 5-year Age Groups and Sex (LGA) 2011-2031

This dataset is the 2016 release of the Victoria in Future series of data and presents Estimated Residential Population (ERP) data by 5-year age groups and sex for the state of Victoria. The data is presented in 2011 Local Government Area (LGA) boundaries and covers each fifth year for the years 2011 to 2031.
The Victoria in Future series is a projection of the ERP for LGAs and Victoria in Future Small Areas (VIFSA) for 2011 to 2031. Some data areas are available for individual years and some for every fifth year in the projection period. The first year for each dataset within the series is 2011. Where available, the latest Australian Bureau of Statistics (ABS) data is used for the years 2012 to 2015.
Data are available for Estimated Resident Population (ERP - the official total population), population by age and sex (for single years of age in some cases, otherwise for five-year age groups), households and dwellings (including average household sizes and dwelling occupancy rates).
Victoria in Future 2016 population projections are not predictions of the future, nor are they targets. They analyse changing economic and social structures and other drivers of demographic trends to indicate possible future populations if the present identified demographic and social trends continue. Projections are based exclusively on demographic components at the state and regional level, while local level projections take account of current and future land use, dwelling capacity, and development opportunities in addition to local demographic factors.
For more information please visit the DELWP VIF Portal.
Notes: 


AURIN has spatially enabled the original data.


These detailed projections replace the projections published in Victoria in Future 2015 (based on the 2011 Census) issued by the Department of Transport, Planning and Local Infrastructure (DTPLI).


The base year for the calculation of VIF2016 projections is 2015 (as at 30 June), the most recent year for which the ABS has published the Estimated Resident Population (ERP) for both Victoria and for LGAs.


The data tables have been condensed to one dataset to allow longitudinal analysis of the data through year-period filters.



Tags: population
Organization: Government of Victoria - Department of Environment Land Water and Planning
Main Roads WA - Legal Speed Limits 2018

This datasets presents Legal Speed Limits on state and local roads. The speed limit is the maximum speed limit allowed under the provisions of the State Traffic Act and Regulations. Road speed limits are used to regulate the speed of road vehicles. Speed limits may define maximum (which may be variable), minimum or no speed limit and are normally indicated using a traffic sign. Speed limits are set by the Commissioner of Main Roads Western Australia (Regulation 297 of the Road Traffic Code 2000) and enforced by national or regional police and/or judicial bodies. This layer shows the location of legal speed limits on all public access roads found in the Integrated Road Information System (IRIS) and is provided for information only. 
This data presents the speed limits of roads in Western Australia as of August 2018.
For more information please visit the MRWA Open Data Portal.

Tags: WA, Western Australia, limit, polyline, speed, traffic, transportation
Organization: Government of Western Australia - Main Roads Western Australia
SA3-I04 Selected Medians and Averages-Census 2016

SA3 based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom, household size and proportion of dwellings in need of one or more extra bedrooms. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, aboriginal torres strait islander people, atsip, averages, census, i04, medians, selected
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Maternity Indicators - Small Babies Among Births at or After 40 Weeks Gestation (%) (SA3) 2014-2016

This dataset presents the footprint of the percentage of babies born at or after 40 weeks gestation who weighed less than 2,750 grams at birth. This has been calculated with the number of babies born at or after 40 weeks gestation who weighed less than 2,750 grams at birth, divided by the number of babies born at or after 40 weeks gestation, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.


Metadata Online Registry Entry.


Please note:


AURIN has spatially enabled the original data.


A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.


Births included are those for babies born at or after 40 weeks gestation. This includes stillborn babies and babies from a multiple birth.


Births excluded are those for babies born before 40 completed weeks gestational age, that is before 40 weeks and 0 (zero) days.


Gestational age is reported as completed weeks.


Caution should be used when comparing these results with other nationally and internationally reported indicators, as the cut-off birthweight may be different to this indicator.


Data for Statistical Local Area Level 3 (SA3) of mother's usual residence reported using a 3-year aggregate, 2014-2016.


The sum of the reported 'Grouped by' values may not equal the Australia total.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
Geoscience Australia - Major Aviation Fuel Depots 2012

This dataset presents locations of major aviation fuel depots in Australia. The major aviation fuel depots dataset was digitized in 2012 from aerial photography, orthophotos and satellite imagery held within Geoscience Australia. The primary information source used to identify and attribute the dataset was the Airservices Australia website supplemented with individual airport websites.
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
AIHW - Child and Maternal Health Indicators - Mothers who had at least one Antenatal visit in the First Trimester (%) (SA3) 2012-2016

This dataset presents the footprint of the percentage of all women who gave birth and had at least one antenatal visit in the first trimester. The data spans every two years between 2012-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The Child and Maternal Health Indicators have been calculated from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and Register of Births and National Perinatal Data Collection. This measure has been calculated with the numerator as the total number of women who gave birth and had at least one antenatal visit in the first trimester, and the denominator as the total number of mothers with a recorded week of gestation at the first antenatal visit.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Child and Maternal Health Data Tables.
Please note:


AURIN has spatially enabled the original data.


An antenatal visit is a planned visit between a pregnant woman and a midwife or doctor to assess and improve the wellbeing of the mother and baby throughout pregnancy. An antenatal visit does not include a visit where the sole purpose of contact is to confirm the pregnancy, or those contacts that occurred during the pregnancy that related to other non-pregnancy related issues. An antenatal visit in the first trimester is defined as occurring before 14 weeks' gestational age.


Data at the area level exclude births to Australian non-residents and women who could not be allocated because their usual residence was not stated or was not valid


In WA and ACT, first antenatal visits that occur outside of the hospital may not be included, so these data should be interpreted with caution


Percentage for an area are suppressed for publication and marked as 'NP' if the number of mothers with a recorded week of gestation at the first antenatal visit for the area is less than 100



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA1-G19 Voluntary Work by Age by Sex-Census 2016

SA1 based data for Voluntary Work for an Organisation or Group by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. 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, age, census, g19, gcp, general community profile, sa1, sex, voluntary work, volunteer
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W11d Industry of Employment by Hours Worked by Sex-Census 2016

GCCSA based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over.  Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Persons Other services Number of hours worked None' - 'Persons Total Number of hours worked Total'. The data is by GCCSA 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, employment, hours worked, industry, industry of employment, w11d, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DSDBI - Industry Atlas - Population by Gender (LGA) 2011

This dataset provides the population by gender for 2011 in Mainland Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS).
The Industry Atlas of Victoria is a graphic snapshot of the State's economy - in Melbourne and regional Victoria. Highly informative maps have been derived from the 2006 Census, supplemented by up-to-date Australian Bureau of Statistics (ABS) data, to provide insight into the number and distribution of businesses, industries and the workforce. The Atlas provides fascinating information and valuable input into future industry policy development and infrastructure planning.

Organization: Government of Victoria - Department of State Development Business and Innovation
SSD Chronic Disease - Synthetic Prediction 2007-2008

Estimates (using synthetic predictions) of chronic diseases including: mood (affective) problems for males and females, osteoarthritis, osteoporosis and rheumatoid arthritis for 2007 to 2008 by SSD.

Tags: chronic disease, estimate, health, osteoarthritis, osteoporosis, rheumatoid arthritis, synthetic prediction
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Admissions - Hospital Types and Sex (PHA) 2016-2017

This dataset, released November 2018, contains data relating to hospital admissions by hospital type and sex,2016/17. 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 2016/17; and the ABS Estimated Resident Population, 30 June 2016.
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
LGA-G52d Industry of Employment by Hours Worked by Sex-Census 2016

LGA based data for Industry of Employment by Hours Worked by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G52 is broken up into four sections (G52a-G52d) this section contains 'Persons Other services Number of hours worked None' - 'Persons Total Total'. The data is by LGA 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, employment, gcp, general community profile, hours, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-I15b Non-School Qualification: Level of Education by Indigenous Status by Age by Sex-Census 2016

SA3 based data for Non-School Qualification: Level of Education by Indigenous Status by Age by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). I15 is broken up into 4 sections (I15a – I15d), this section contains 'Males Total 20-24 years Postgraduate Degree Graduate Diploma and Graduate Certificate Level' - 'Females Indigenous status not stated 20-24 years 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: age, education, indigenous status, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G51b Industry of Employment by Age by Sex-Census 2016

SA1 based data for Industry of Employment by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G51 is broken up into four sections (G51a-G51d) this section contains 'Males Total Age 15-19 years' - 'Females Other services 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, age, census, employment, g51b, gcp, general community profile, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B35 Type of Internet Connection by Dwelling Structure as at 2011-08-11

SA2 based data for Internet Connection by Dwelling Structure, for 2011 Census. Type of Internet Connection by Dwelling Structure. Where a dwelling has more than one type of Internet connection, only one is recorded. 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
SA2-based B45A Occupation by Age by Sex as at 2011-08-11

SA2 based data for Occupation 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
PHIDU - Premature Mortality - Sex (PHN) 2011-2015

This dataset, released July 2018, contains Deaths of males aged 0 to 74 years, 2011 to 2015; Deaths of females aged 0 to 74 years, 2011 to 2015; Total deaths, 0 to 74 years, 2011 to 2015. 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: Data compiled by PHIDU from deaths data based on the 2011 to 2015 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population at the small area level is the ABS Estimated Resident Population (ERP), 30 June 2011 to 30 June 2015, Statistical Areas Level 2; the population standard is the ABS ERP for Australia, 30 June 2011 to 30 June 2015.
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
Measures of Environmental Inequality across Culturally and Linguistically Diverse (CALD) Communities (SA1 Level) (2006)

Measures of the environmental inequality among Culturally and Linguistically Diverse (CALD) populations derived from the time series extracted from Landsat satellite images in the years 2001, 2006, 2011, 2016, 2021, including land surface temperature, urban heat intensity index, NDVI (normalised difference vegetation index) and NDBI (normalised difference built-up index) for each SA1. The time-series datasets were retrieved on Google Earth Engine using ABS SA1 2021 boundary.

Tags: Environmental inequality, NDBI, NDVI, land surface temperature, normalised difference built-up index, normalised difference vegetation index, time-series, urban heat intensity index
Organization: GISail (Geospatial Informatics and Intelligence) Group, RMIT University