AndreaBozzo/ceres-open-data-index huggingface dataset:
AusPollen - Weekly Pollen Count - Parkville site, Melbourne, Victoria (Point) July 2016 - June 2020

The data set contains airborne pollen concentrations (grains per cubic meter) from samples taken at Parkville site, Melbourne, Australia (-37.7971, 144.9649) between July 2016 and June 2020. Each data row has two concentrations: one for grass (Poaceae) and one for all other pollen. For comparison with other data sets and between pollen seasons the data weeks start at July 1 each calendar year. Extra days at the end of the pollen year are included in week 52. Each data row has a collection period start date, the number of days within the collection period (7-9), and the number of days on which pollen was collected and summed (0-9). Concentrations represent only the number of days collected and not always the full collection period, as indicated.  
Airborne pollen samples were collected using a volumetric continuous flow impaction sampler (Burkard Manufacturing, UK), stained with fuchsin and counted by light microscopy according to best practice described in the Australian Airborne Pollen and Spore Monitoring Network Interim Standard and Protocols (Version 2, 14 September 2018).
Data may be used for modelling and forecasting airborne grass, other, total pollen levels. Other uses include analysis of the effect of pollen levels on asthma and allergy presentations, or in inference of grass and other vegetation growth patterns. Data may also be used for evaluation of medium or long-term trends over time or comparison withpollen exposure levels between spatial distant locations.
Metadata about this and other AusPollen Aerobiology Collaboration Network monitoring sites is provided on the National Environmental Monitoring Site Register. Information about other pollen and spores monitored can be found by the AusPollen Aerobiology Collaboration Network Species Classification on the ARDC Research Vocabularies site.
AURIN has added latitude, longitude and spatialised geometry columns for each row based on the coordinates of the pollen samples. Periods over which no data is available are marked as null.

Tags: Allergy, Atmospheric sciences, BIOLOGICAL SCIENCES, BIOMEDICAL AND CLINICAL SCIENCES, Climate change impacts, EARTH SCIENCES, ENVIRONMENTAL SCIENCES, Ecology, Environmental management, Human impacts of climate change, Immunology, Plant biology, adaptation, human adaptation
Organization: National Health and Medical Research AusPollen Partnership Project
AIHW - Alcohol and Other Drug Treatment Services - Clients by Source of Referral (%) (PHN) 2016-2017

This dataset presents the footprint of the percentage of distinct clients to alcohol and other drug treatment services (AODTS) by source of referral. The AODTS data is based on data reported to the AODTS National Minimum Dataset (NMDS). The data spans the financial year of 2016-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The AODTS data accompanies the Alcohol and other drug treatment services in Australia 2016-17 Report.
For further information about this dataset, please visit: 


Australian Institute of Health and Welfare - AODTS Data Tables.


Alcohol and other drug treatment services NMDS 2016-17 Quality Statement.


Please note:


AURIN has spatially enabled the original data using the Department of Health - PHN Areas.


The PHN of the client was assigned based on the reported postcode of the client using the Australian Bureau of Statistics' (ABS) Postal Area 2013 to Primary Health Network 2015 concordance file. Clients with an invalid postcode were assigned to the PHN group 'PHN Unallocated' and removed from the analysis.


The source of referral is the source from which the client was transferred or referred to alcohol and other drug treatment service.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
PHIDU - Cancer Incidence - Persons (PHN) 2010-2014

This dataset, released September 2020, contains data on the total cancer incidences during 2010-2014 by Colorectal Cancer, Melanoma of the skin, Lung cancer, Lymphoma cancer, Leukaemia cancer, Pancreatic cancer, and All cancers combined. 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 from an analysis by the Australian Institute of Health and Welfare (AIHW) of the Australian Cancer Database (ACD) 2015. The ACD is compiled at the AIHW from cancer data provided by state and territory cancer registries: for further information on the ACD see link. 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
DSS - Quarterly Payment Recipients (LGA) September 2019

This dataset presents counts of payment recipients by payment type for the quarter ending September 2019. The data is based on the recipient's geocoded address aggregated by Local Government Area (LGA) from the Australian Statistical Geography Standard (ASGS) 2018.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 4 have been suppressed and replaced with '&lt;5' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 5.


Individuals who live overseas, individuals who are without a valid home address and individuals who only have a postal address cannot be assigned to a locational boundary. State/territory totals derived from Local Government Area data will not match actual state and territory totals, due to different statistical geography methodologies.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;5' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
SA4-G09b Country of Birth by Age by Sex-Census 2016

SA4 based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Males Ireland Age 0-4 years' - 'Males South Africa Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09b, gcp, general community profile, sa4, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Main Roads WA - Road Hierarchy 2017

This dataset presents a description of the hierarchy role performed by different parts of the road network. It also provides criteria to describe each road role type. The role type designated to each road should represent the role that the road is intended to perform. It may not necessarily reflect the current conditions on the road. A total of six hierarchy types are used for roads in Western Australia. The Road Hierarchy provides a high level description of the hierarchy performed by roads in the network across WA. Road management is guided by the hierarchy type of each road.
This data presents the road hierarchy in Western Australia as of December 2017. AURIN took the data in August 2018.
For more information please visit the MRWA Open Data Portal.

Tags: WA, Western Australia, hierarchy, network, polyline, road, transportation
Organization: Government of Western Australia - Main Roads Western Australia
ABS - Data by Region - Economy & Industry (SA4) 2011-2019

This dataset presents data on economy and industry available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of economy and industry: Business Entries and Exists, Buildings Approvals, Residential Property Prices, Mean Household Net Worth, Patent and Trademark Applications, Insolvencies, Motor Vehicle Census, Tourist Accommodation Establishments, Agricultural Commodities, Gross Value of Agricultural Production and Industry of Employment.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:


Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.


Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.


Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.


Columns and rows that did not contain any values in the original data have been removed.



Tags: Economic, Industry
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C30  Nature Of Occupancy (LGA) 1981

The 1981 Census Local Government Area Summary File (LGASF) presents summary characteristics of persons and their dwellings for every Local Government Area (LGA) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data on nature of occupancy. Census counts were 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 Local Government Area 1981 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2103.0 &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 1981 geographic boundaries are available from data.gov.au.
For more information please refer to "Making Sense of Census 1981".
Please note: Some LGAs were broken down into parts in the original LGA Summary File (e.g. CABONNE (S) (PART A), CABONNE (S) (PART B), CABONNE (S) (PART C)). AURIN has aggregated the data values for the LGA parts where this has occurred.

Tags: 1981, c30, census, occupancy, ownership, place of enumeration, tenure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P39b Non-School Qualification: Field of Study by Age by Sex-Census 2016

SA2 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 'Females Management and Commerce Age 35-44 years' - 'Persons Total Age 45-54 years'. The data is by SA2 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, p39b, pep, place of enumeration profile, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G39 Dwelling Structure by Household Composition and Family Structure-Census 2016

LGA based data for Dwelling Structure by Household Composition and Family Composition, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households.  Excludes overseas visitors. In multiple family households, only the family composition of the primary family is included. 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, composition, dwelling structure, family, g39, gcp, general community profile, household, lga
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Mortality Over Regions and Time (MORT) Books - Leading Causes of Death by Sex (PHN) 2012-2016

This dataset presents the footprint of statistics related to the leading causes of death by sex. The reported statistics include cause of death, ranking, total deaths, crude rates, age-standardised rates and rate ratio. The data spans the period between 2012-2016 and is aggregated to 2017 Department of Health Primary Health Network (PHN) areas, based on the 2016 Australian Statistical Geography Standard (ASGS).
Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.
Please note:


AURIN has spatially enabled the original data using the Department of Health - PHN Areas.


Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.


Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.


Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).


Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined.


Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
PHIDU - Population Projections Females (LGA) 2020-2030

This dataset, released February 2020, contains the female Population projections for years 2020, 2025 and 2030, by 5-year age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years.
The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: These data are based on customised projections prepared for the Australian Government Department of Health by the Australian Bureau of Statistics and originally published by the Australian Institute of Health and Welfare. PHA data were compiled by PHIDU based on these customised projections for 2020, 2025, and 2030..
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
CER - Small-scale Installations - Small Generation Unit - Wind (POA) 2002

This dataset presents the footprint of the number of installations of small generation unit (SGU) wind systems and their rated output in kilowatts (kW). The data spans the months of 2002 and includes the total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (SWH) and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


Monthly installation data is provided for months where an installation was registered.


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has reduced by 5.517MW.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
LGA-B27 Dwelling Structure by Household Type and Family Type-Census 1996

LGA based data for Dwelling Structure by Household Type and Family Type, in Basic Community Profile, 1996 Census. Count of occupied private dwellings. The data is by LGA 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, b27, basic community profile, bcp, census, dwelling structure, family, household
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2 Industry - National Regional Profile 2010-2014

This dataset contains National Regional Profile (NRP) data on Industry at SA2 level for 2010-2014. The data uses 2011 ABS ASGS boundaries. 
The NRP is designed for users interested in the socio-economic and environmental characteristics of regions - and in comparisons with similar geographies across Australia. Data are arranged under the broad themes/topics of Economy, Industry, People, and Energy and Environment. 
Please note some data are not available for all reference years, for a variety of reasons. For example; there may be conceptual breaks in a data series; the collection frequency may be irregular; some series may have revisions pending; or permission to publish in the NRP may have only been granted recently. In addition, some data series are not available for the full range of geographies. The reasons can include: data owner or custodian preferences; industry identification with a few, particular geographies only; confidentiality protection; and the presence of many suppressed data cells (at smaller geographic levels) thus making true aggregations up to larger ASGS regions difficult. 
This data is ABS data used with permission from the Australian Bureau of Statistics. Please note National Regional Profile (1379.0.55.001) has been discontinued. For the most recent regional data, please see Data By Region (1410.0). 
For more information please visit the  Australian Bureau of Statistics.

Tags: 2010-2014, abs aggregation, agriculture, aus, australia, business, employment, industry, national regional profile, nrp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics