AndreaBozzo/ceres-open-data-index huggingface dataset:
Ookla - Network Performance - Mobile (Polygon) Q1 2020

This data set provides mobile (cellular) network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy.
For more information please see the Ookla Github repository or the Registry of Open Data on AWS.
Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.
AURIN has generated a subset corresponding to the intersection with the extent of the 2016 Greater Capital City Statistical Areas (GCCSA) boundaries from the ABS Australian Statistical Geography Standard (ASGS). It was then reprojected from EPSG 4326 (WGS84) to 4283 (GDA94).
Additional columns have been added corresponding to the matching boundaries of the 2016 ABS Statistical Area Levels 2, 3 and 4, and the 2020 Local Government Areas. These were spatially joined using the centroid of each polygon, and therefore, should only be used as an approximation. Furthermore, grid cells residing outside of these boundaries, such as offshore or over rivers, are assigned a null value in these columns.

Organization: Ookla
SA1-P41b Industry of Employment by Age by Sex-Census 2016

SA1 based data for Industry of Employment by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P41 is broken up into four sections (P41a - P41d), 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, industry, p41b, pep, place of enumeration profile, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-W01b Labour Force Status by Age by Sex-Census 2016

SA3 based data for Labour Force Status by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over.  'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. 'Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night. W01 is broken up into 2 sections (W01a - W01b), this section contains 'Persons 75 years and over Employed Worked full-time' - '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, census, labour force, w01b, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P28 Total Household Income (Weekly) by Household Composition-Census 2016

SA2 based data for Total Household Income (Weekly) by Household Composition, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings. Total Household Income (Weekly) is calculated by summing the personal incomes reported by all household members aged 15 years and over. Excludes 'Other non-classifiable' households. Comprises 'Visitors only', 'Lone person' and 'Group households'. 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, census, household composition, household income, p28, pep, place of enumeration profile, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who perform Insufficient Weekly Physical Activity Age-standardised (%) (PHN) 2014-2015

This dataset presents the footprint of the age-standardised percentage of adults who perform insufficient weekly physical activity. Insufficient physical activity is defined as those aged 18-64 years who did not complete over 150 minutes of physical activity, and at least 5 sessions over a week, and those aged 65+ years who did not complete 30 minutes of activity on at least 5 days in a week. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables.
Please note:


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


Age-standardisation is a method of removing the influence of age when comparing populations with different age structures - either different populations at the same time or the same population at different times. For this data the Australian estimated resident population of people aged 18 and over as at 30 June 2001 has been used as the standard population.


Adults are defined as persons aged 18 years and over.


Values assigned to "n.p." in the original data have been removed from the data.


Data for PHN107 should be interpreted with caution, as the estimates have a relative standard error of 25% to 50%.


Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
LGA-W19c Occupation by Total Personal Income (weekly) for Students Aged 15-24 Years-Census 2016

LGA based data for Occupation by Total Personal Income (Weekly) for Students Aged 15-24 Years, in Working Population Profile (WPP), 2016 Census. Count of employed students aged 15-24 years. W19 is broken up into 4 sections (W19a - W19d), this section contains 'Full/Part-time student status Not stated $1000-$1249 Managers' - 'Total $1750-$1999 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, income, occupation, personal income, students, w19c, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Labour Force (PHA) 2016-2019

This dataset, released February 2020, contains statistics about the labour force relating to Unemployment, March 2019; Labour force participation, March 2019; Female labour force participation, 2016.
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. 
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on the Small Area Labour Markets - Australia, Department of Employment, Skills, Small and Family Business, March Quarter 2019; Compiled by PHIDU based on the Small Area Labour Markets - Australia, Department of Employment, Skills, Small and Family Business, March Quarter 2019; and the ABS Estimated Resident Population, 30 June 2018; Compiled by PHIDU based on the ABS Census of Population and Housing, August 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: Aboriginal, INDIGENOUS STUDIES, Torres Strait Islander health, wellbeing
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-P39b Non-School Qualification: Field of Study by Age by Sex-Census 2016

SA3 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 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, 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
Geoscience Australia - NEXIS - Industrial Building Exposure (LGA) 2016

This dataset presents information about industrial building exposure in Australia from the 7th 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) 2015 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 2015 dataset.

Tags: HUMAN SOCIETY, Human geography
Organization: Government of the Commonwealth of Australia - Geoscience Australia
ABS - Jobs In Australia - Employed in Multiple Jobs (GCCSA) 2013-2014

This dataset presents aggregated data regarding the number of people employed in multiple jobs and their respective median income by the relevant statistical regions. The data spans over the 2013/14 financial year and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries.
Jobs in Australia is a new release that provides aggregate statistics from the recently developed Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers.
Jobs in Australia describes all job relationships accumulated over the course of a year. This means that job counts in this publication are higher than the estimates of filled jobs published in the quarterly Australian Labour Account, which provides a point-in-time, or stock measure. These statistics about jobs also differ from Labour Force Survey statistics, which estimate the number of people who held a job in each month.
This data is Australian Bureau of Statistics (ABS) data (catalogue number: 6160.0) used with permission from the ABS.
For more information on the release please visit the Australian Bureau of Statistics
The purpose of this publication is to provide new information about the number and nature of filled jobs in Australia, the people who hold them, and their employers. It includes information about multiple job-holding and employment in local areas. Jobs in Australia counts all jobs held during the reference year. This complements and expands on quarterly stock estimates of filled jobs presented in the Australian Labour Account.
AURIN has spatially enabled the original data. The following additional changes were made:


Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.


Total values may be higher than the sum of the published components due to this confidentialisation.



Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G27 Family Blending-Census 2016

SA1 based data for Family Blending, in General Community Profile (GCP), 2016 Census. Count of couple families with children. Classifies couple families based on the parent-child relationships within them. Temporarily absent children are taken into consideration when classifying families. Excludes 'Couple families with no children', 'One parent families' and 'Other families'. Excludes families in: 'Non-family/Non-classifiable households', 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.  Excludes overseas visitors. 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, child, family blending, g27, gcp, general community profile, parent, relationship, sa1
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B24 Industry Sector By Sex (CD) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Census Collection Districts (CD) in Australia. 
This table contains data relating to industry sector by sex. Counts are of employed persons, 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 CD 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 extracted from CDATA91 which was supplied to AURIN by the University of Melbourne. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au
For more information please refer to the 1991 Census Dictionary

Tags: 1991, b24, basic community profile, bcp, census, employment, industry, place of enumeration, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C02 Summary Of Housing (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 a summary of housing. 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, c02, census, housing, place of enumeration, summary
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - ASGS - Statistical Area Level 1 (SA1) 2016

This dataset is the Statistical Area Level 1 (SA1) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016.
For the original data and more information, refer to the Australian Bureau of Statistics' Issue.
The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.
The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

Tags: BUILT ENVIRONMENT AND DESIGN, Urban, regional planning
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
RV Investigator Voyage IN2025_E01 EK80 Echosounder

This record describes scientific split-beam echosounder data collected on the RV Investigator voyage IN2025_E01, Trials and calibrations, which departed Hobart on the 19th February 2025 and returned to Hobart on the 1st March, 2025.
The Simrad EK80 split beam echosounders for 18, 38, 70 120, and 200 kHz were used to acquire acoustic backscatter data to a range of up to 1500 m. The 333 kHz was set to passive for the duration due to an issue with the transducer. Active acquisition of the 18, 38, 70 120, and 200 kHz frequencies was sporadic throughout the voyage due to calibrations of other acoustic instruments. Dedicated acoustic interference tests were performed throughout the voyage with different frequencies on active or passive to assess the impact of other acoustic systems on the EK80 data. Details on these tests are contained within the EVERlog records. 
Data are stored in .raw, .bot and *.idx format at CSIRO. There are 2428 files totalling 30.8 GB of raw data in this dataset.
No processing has been conducted on this data.
Additional information regarding this dataset is contained in the GSM data acquisition and processing report. Additional data products may be available on request.

Organization: CSIRO Marlin Data Catalogue
Sprightly Voyage SP 13/83 CTD Data

This dataset contains the processed Conductivity-Temperature-Depth (CTD) data collected on Sprightly cruise SP 13/83. The cruise took place in NSW coastal waters during September 1983, carrying out hydrology sections for the ACE (Australian Coastal Experiment) Project, located off Cape Howe, Stanwell Park, Cronulla, and Newcastle, with stations at 14 points between 20m and 15km offshore. This dataset has been processed and is archived within the CSIRO Marine and Atmospheric Research Data Centre in Hobart. Additional information regarding this dataset is contained in the cruise report for this voyage.

Organization: CSIRO Marlin Data Catalogue
RV Investigator Voyage IN2025_E01 EM124 Multibeam Echosounder Data

This record describes multibeam echosounder data collected on RV Investigator voyage IN2025_E01, Trials and calibrations, which departed Hobart on the 19th February 2025 and returned to Hobart on the 1st March, 2025.
The Kongsberg EM124 multibeam echosounder was used to acquire seafloor bathymetry,  seafloor backscatter and water column backscatter.
The EM124 provides a 1 degree by 1 degree angular resolution. The echosounder's nominal frequency is 12 kHz. Data are stored in .kmall raw format for bathymetry and backscatter and .kmwcd format for water column backscatter at CSIRO. There are 115 files totalling 7.41 GB of raw data and 115 files totalling 18.3 GB of water column data in this dataset. 
Sound velocity profiles were applied to this data during data acquisition. Bathymetry data contained in *.kmall format are corrected for motion and position. GPS tide was computed using the EGM2008 model and applied to the processed data. Processed data has had outliers removed.  Additional information regarding this dataset, including further information on processing streams, is contained in the GSM data acquisition and processing report.

Organization: CSIRO Marlin Data Catalogue
RV Investigator Voyage IN2025_V03 EM2040 MKII Multibeam Echosounder Data

This record describes multibeam echosounder data collected on RV Investigator voyage IN2025_V03,  titled "COAST‐k – Clean Ocean Air Sampling upwind of Tasmania ‐ kennaook" which departed Hobart on the April 29, 2025 and returned to Hobart on the May 18, 2025.
The EM2040MK2 provides a 0.4 degree by 0.7 degree angular resolution. The echosounder's nominal frequency is 400 kHz (with a range of 200-700 kHz) and it operated in dual swath mode. 
Data are stored in .kmall raw format for bathymetry and backscatter and .kmwcd format for watercolumn backscatter at CSIRO. There are 158 files totalling 71.3 GB of raw data and 146 files totalling 424 GB of watercolumn data in this dataset. 
Sound velocity profiles were applied to this data during data acquisition. Bathymetry data contained in *.kmall format are corrected for motion and position. 
GPS tide was computed using the EGM2008 model and applied to the processed data. Processed data has had outliers removed. 
Additional information regarding this dataset, including further information on processing streams, is contained in the GSM data acquisition and processing report.

Organization: CSIRO Marlin Data Catalogue