AndreaBozzo/ceres-open-data-index huggingface dataset:
City of Melbourne CLUE Business Establishments Names and Industries (Point) 2004

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 2004.
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: 2004, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
NSW DPIE - Projections 2016 - Population High & Low Series (LGA) 2011-2036

This dataset presents projected population following the three projection series - the main projection, a high and a low  projection series for 5-year periods between the years of 2011 and 2036 for the state of New South Wales (NSW). The data is presented as aggregations following the Australian Statistical Geography Standard (ASGS) 2016 Local Government Areas (LGA).
The various projection series show the impact on the NSW population when the assumed levels of births, deaths and migration are changed. 
Population projections provide a picture of the population as it may develop in future years. They provide an indication of the size and age-sex structure of the future population if specified assumptions about future fertility, mortality and migration are realised. 
Population projections are not forecasts and do not attempt to predict the impact that future government policies, changing economic circumstances or other factors (whether in Australia or overseas) might have on demographic behaviour.
For more information please read the Population Projections User Guide.Please note: 


AURIN has spatially enabled the original data.


Population numbers are rounded to the nearest 50. They should not be taken to be accurate to that level of detail.



Tags: population
Organization: Government of New South Wales - Department of Planning, Industry and Environment
CER - Small-scale Installations - Small Generation Unit - Wind (POA) 2007

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 2007 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
LGA11-based B44A Industry of Employment by Occupation as at 2011-08-11

LGA11 based data for Industry of Employment by Occupation, 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
SA1-G50b Non-School Qualification-Level of Education by Industry of Employment by Sex-Census 2016

SA1 based data for Non-School Qualification: Level of Education by Industry of Employment by Sex, in General Community Profile (GCP), 2016 Census. Count of employed 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). G50 is broken up into three sections (G50a-G50c) this section contains 'Females Accommodation and food services Certificate Level' - 'Persons Education and training Postgraduate Degree Level'. 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, education, employment, g50b, gcp, general community profile, industry, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G28 Total Family Income (Weekly) by Family Composition-Census 2016

SA3 based data for Total Family Income (Weekly) by Family Composition, in General Community Profile (GCP), 2016 Census. Count of families in family households. Total Family Income (Weekly) is calculated by summing the personal incomes reported by all family members aged 15 years and over. Families includes same-sex couple families. Household excludes 'Lone person', 'Group', ‘Visitors only' and 'Other non-classifiable' households. Excludes overseas visitors. 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, family composition, family income, g28, gcp, general community profile, sa3, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-P16b Highest Year of School Completed by Age by Sex-Census 2016

LGA based data for Highest Year of School Completed by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. P16 is broken up into 2 sections (P16a - P16b), this section contains 'Persons Year 8 or below Age 15-19 years' - '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, age, census, education, highest year of schooling, p16b, pep, place of enumeration profile, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 10.2: Proportion of Children whose Parents are Concerned with their Behaviour (LGA) 2014-2015

This dataset presents indicator 10.2: Proportion of children at school entry whose parents report concerns with their behaviour. The data covers the years of 2014-2015 and is aggregated by Local Government Areas (LGA) from the 2016 Australian Statistical Geography Standard (ASGS). This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from the School Entrant Health Questionnaire (SEHQ).
The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services.
For more information, please visit VCAMS Indicators.
Please note: 


AURIN has spatially enabled the original data.


Where data values were "NDP" (no data provided) in the original data they have been set to null.



Tags: VIC, Victoria, children, development, education, health, polygon, safety, youth
Organization: Government of Victoria - Department of Education and Training
Floodplain tree stand condition by area 1988–2021

In the 2025 Sustainable Rivers Audit (SRA), the latest iteration of the Stand Condition Tool (SCT), paired with updated vegetation extent maps, was used to assess the condition of floodplain trees. From the SCT and associated inputs, an excel spreadsheet was output. This spreadsheet calculated the percentage of floodplain tree area in moderate-to-good condition across an annual time series from 1988–2021 for each of the 23 SRA valleys. These calculations were provided for the area of all floodplain trees, as well as for key individual species: river red gum, black box and coolabah. For more information on the methodology used in this analysis, please refer to EcoFutures final reports:   
  
* Sustainable Rivers Audit 3 – Contribution of the Basin Plan to the condition of selected environmental values by Gawne et al., (2025a) (prepared by EcoFutures).

* Valley scale assessment of current condition and trend for environmental values in the northern Murray-Darling Basin by Gawne et al., (2025b) (prepared by EcoFutures). 

* Valley scale assessment of current condition and trend for environmental values in the southern Murray-Darling Basin by Gawne et al., (2025c) (prepared by EcoFutures). 

This excel spreadsheet was used in the 2025 SRA to: 

* Undertake the visual assessment of trend using the full time series from 1988–2021

* Describe the temporal patterns of change in area of individual tree species (e.g., river red gum, black box and coolabah) in moderate-to-good condition for each the 23 valley reports. 


Organization: Murray-Darling Basin Authority
Quarterly Population Estimates (ERP), by State/Territory

Estimated resident population (ERPs) is the official measure of the Australian population, published quarterly by the ABS. This dataset contains quarterly ERP by age, at state/territory and Australia level.

Tags: 3101.0, ACT, Australia, Australian Capital Territory, Estimates, Interstate Migration, Moving, NSW, NT, New South Wales, Northern Territory, Overseas Migration, People, Population, QLD, Quarterly, Queensland, Residents, SA, South Australia, State, Tas, Tasmania, Vic, Victoria, WA, Western Australia
Organization: Australian Bureau of Statistics
Reported landed annual catch from Commonwealth fisheries catch disposal records

##Description
This dataset shows the annual landed catch (meaning the catch that is landed at port) in kilograms, by species and fishery, for Commonwealth fisheries managed by the Australian Fisheries Management Authority (AFMA). 
These data come from AFMA catch disposal records (CDRs), and have been recorded and submitted to AFMA by commercial fishers and fish receiver permit holders when fish are landed at port. Fish discarded at sea are not included in CDRs and therefore are not included in this dataset. 

##Appropriate use and limitations of the data
These annual catches are calculated from the date the fish was landed at a port. This means that comparisons with other datasets with different summations (for example, catch by fishing season or catch from the date the fish were removed from the ocean) may produce different results.
Care should be taken when interpreting trends in this data because there are many factors that can affect catches each year. Catch quantities can be impacted by management measures such as: total allowable catch, closures of fishing areas, reducing boat numbers, or banning the catch of a particular species. Similarly, changes in market demand can affect which species are targeted. 
CDRs are used to monitor quota (see Individual Transferable Quota)). AFMA total allowable catches (TAC)s are set for fishing seasons rather than calendar years. See catchwatch for seasonal catch to date compared to TAC for AFMA’s larger quota fisheries. Not all fisheries have CDRs, and in some fisheries the CDR program was started part-way through an annual time-period.
These catch disposal record data do not include catch by gear type. This information can be found in the “Reported landed annual catch from Commonwealth fisheries logbooks” and its metadata, which is published on data.gov.au. Note that catch weight data in logbooks are estimates only that have been recorded by fishers while at sea. It is used in combination with gear, effort, and spatial data from logbooks to inform stock assessments. 

##Disclaimer
The dataset provided by AFMA is comprised of raw (unprocessed) data as received from fishers and fish receivers, and may contain errors or be incomplete. Errors are more likely in species caught in low volumes. AFMA makes no warranty or representation that the data is accurate or complete. Those who choose to use this data should make their own enquiries as to its accuracy and completeness, and AFMA assumes no liability for any errors or omissions in the data provided, or for any decision by a person who chooses to rely on the data.


Tags: catch, commonwealth, fish, fishery, fishes, landings
Organization: Australian Fisheries Management Authority
Reported annual fishing effort from Commonwealth fisheries logbooks

##Description
While at sea, Commonwealth fishers must record all catch and effort in their AFMA daily fishing logbooks. This dataset shows the annual fishing effort by fishery and gear, that fishers have recorded in their logbooks for Commonwealth fisheries managed by the Australian Fisheries Management Authority (AFMA). Location of effort within a fishery is not included.
These data are sourced from AFMA daily fishing logbooks, which fishers complete while at sea. Location of effort within a fishery is not included.
Fishing effort is measured differently depending on the fishing method used. In this dataset we provide the most common measures that are used by scientists. 

##Appropriate use and limitations of the data
The effort data in logbooks are estimates only, which have been recorded by fishers while at sea. Effort data are used in combination with catch data, spatial data, and other relevant information (such as independent surveys) to inform stock assessments.
These data may differ from other summations over the same time-period (such as stock assessment reports) due to differences in data handling procedures. For example, scientists may standardise effort for assessments to account for issues such as changes in gear efficiency, catchability of fish and skipper expertise. They may also filter out effort from their assessments because of data quality issues.
Care should be taken when interpreting trends in this data because there are many factors that can affect effort each year. Catch quantities can be impacted by management measures such as closures of fishing areas or reducing boat numbers. Similarly, changes in market demand can change fishing decisions and affect effort. 

##Disclaimer
The dataset provided by AFMA is comprised of raw (unprocessed) data as received from fishers, and may contain errors or be incomplete. AFMA makes no warranty or representation that the data is accurate or complete. Those who choose to use this data should make their own enquiries as to its accuracy and completeness and AFMA assumes no liability for any errors or omissions in the data provided, or for any decision by a person who chooses to rely on the data.


Tags: Oceans, commonwealth, effort, fishery, fishing, logbook
Organization: Australian Fisheries Management Authority
VostroNet (Australia) Pty Ltd - Anticipatory Notice - 16 July 2025 - Rothwell

VostroNet (Australia) Pty Ltd - Anticipatory Notice given on 16 July 2025 Ref ED25/57332

Project Area:  499-507 Anzac Ave, Rothwell QLD 4022
Contract date: 10/7/25
Estimated completion date: 1/10/28
Network: FTTP

Tags: Broadband, SIP, Telecommunications, VostroNet, statutory infrastructure provider
Organization:  SIP Register - VostroNet (Australia) Pty Ltd
Fiboss Pty Ltd- Anticipatory Notice  -12 December 2024 - Flagstone QLD (Declared 17 July 2025)

Fiboss Pty Ltd - Anticipatory Notice given on 12 December 2024 Ref ACMA2020/518-18/ED24/126377

Project ID  42800001
Project address 19 Gates Rd, Flagstone QLD 4280
Network: FTTP
Contract date: 25/9/24 Declared 17 July 2025 Ref ED25/57295
Estimated completion date: 30/1/25

Tags: SIP, Telecommunications, broadband, fiboss pty ltd, statutory infrastructure provider
Organization: SIP Register – Fiboss Pty Ltd
Fiboss Pty Ltd - Anticipatory Notice -22 August 2024- Coolangatta QLD (Declared 17 July 2025)

Fiboss Pty Ltd Anticipatory Notice for 
Project area ID: 4225001
Address: 19 Appel St Coolangatta QLD 4225
Contract date: 29/05/2024
Estimated completion date: 19/12/2024 - Declared 17 July 2025 ED25/57295
Network: FTTP

Tags: SIP, Telecommunications, fiboss pty ltd, statutory infrastructure provider
Organization: SIP Register – Fiboss Pty Ltd
Fiboss Pty Ltd - Declaration - 17 July 2025 - Multiple

Fiboss Pty Ltd - Declaration - given on 17 July 2025 for 4 nominated service areas Ref ED25/57295
Project ID    Project Address                                                                  Anticipatory Given Date
24850001 – 1-9 Ourimbah Rd, Tweed Heads NSW 2485                  22/5/2024
42250001 - 19 Appel St, Coolangatta QLD 4225                                22/5/2024
41650001 - 3 Moores Rd, Redland Bay QLD 4165                             7/11/2024  
42800001 - 19 Gates Rd, Flagstone QLD 4280                                   12/12/2024


Tags: Broadband, Fiboss, SIP, Telecommunications, statutory infrastructure provider
Organization: SIP Register – Fiboss Pty Ltd
Fiboss Pty Ltd - Anticipatory Notice - 17 July 2025-Palm Beach

Fiboss Pty Ltd - Anticipatory Notice given on 17 July 2025-Palm Beach Ref ED25/57295
for 
Project Area ID Contract Date Address Network Est Completion
42210001 04/11/2024 3 Thirteenth Ave, Palm Beach QLD 4221 FTTP 17/02/2026

Tags: Broadband, Fiboss, SIP, Telecommunications, statutory infrastructure provider
Organization: SIP Register – Fiboss Pty Ltd
Vicmap Vegetation Tree Extent REST API

Vicmap Vegetation Tree Extent was derived from a machine  learning  output. The dataset was created by assigning each  pixel in the aerial photography into two classes: tree or not tree.  The data was created using a machine  learning  method called semantic segmentation. In semantic segmentation, the machine  learning  model is trained on aerial  images, learning  from a corresponding raster mask that indicates which pixels represent  trees. 

Tags: Vegetation, Vicmap, Vicmap as a Service
Organization: Vicmap
Vicmap Hydro REST API

Vicmap Hydro represents the natural and man-made water resources for Victoria and consists of point, line and polygon vector features in a seamless, networked and topologically structured dataset series. It comprises a basic framework of linear features supplemented by related point and polygon features to value add data for the water networks across the State.  Attribute tables classify and describe the real-world features using code lists that can be used for search, discovery and analysis.  
The following hydrographic features are contained within Vicmap Hydro:
Watercourse (line)- watercourse, connector, channel, drain
Water Area (polygon)- lake, flat, wetland, pondage, watercourse area
Water Area Boundary (line)- shoreline, junction
Water Point (point)- rapids, spring, waterfall, waterbody point
Water Area Fuzzy (polygon) – bay, beach, bend, entrance, inlet, passage, reach, sea
In inland and coastal areas, point and line features are used to describe various waterline related structures:
Water Structure Line (line)- wharf, marina, offshore platform, breakwater, launching ramp, dam wall, spillway, lock
Water Structure Point (point)- lock, well
Water Structure Area (polygon)- dam batter, spillway
Along our coastline various features exist which either aid or obstruct local navigation:
Navigation Point (point)- buoy, beacon, rock, wreck
Navigation line (line)- reef ledge
Depiction of coastal environment
Features along our coastal environment are best depicted with Vicmap Index which contains Victoria’s state boarders and coastline.
Interpretation of features such as watercourses and sea depend on the following criteria:
The limit between sea and land ie. coastline is represented by the mean highwater mark (1m below flotsam on the beach) except in areas covered by mangroves where the landward side is adopted. Note: The limit between the shoreline of internal water bodies and land is represented by the full supply level.
The use of a connector feature ceases when a watercourse area runs into the sea delineated by a junction representing coastline.
Coastal intertidal flats comprised of sand or mud, exposed at low tide form polygon areas which can extend seaward more than 100m or inland.
Small inlets with a single line stream flowing into them are usually considered part of the sea.
Islands are represented by polygons coded “Island” when they are fully surrounded by sea. 

Tags: Hydro, Hydrology, Vicmap, Vicmap as a Service, Water
Organization: Vicmap