CompanyData.com, powered by BoldData, is your trusted source for verified B2B company information worldwide. Our Australia dataset contains 8,739,534 verified company records, sourced directly from official trade registers and business directories, giving you access to the most accurate and complete data available on Australian companies.

Each company profile includes key firmographic details such as company name, registration number, ABN, ACN, industry classification, size, revenue, and number of employees. Many records also include direct contact information, including names of decision-makers, email addresses, phone numbers, and mobile numbers where available.

Our Australia company data is ideal for a wide range of business applications, including KYC and AML compliance, lead generation, B2B marketing, CRM enrichment, market analysis, and even AI model training. Whether you’re targeting startups in Sydney or established enterprises across the country, our data helps you reach the right companies at the right time.

We offer flexible delivery options tailored to your needs from custom-built Excel or CSV files to real-time API access and a user-friendly self-service platform. We also offer data enrichment and cleansing services to enhance and update your internal databases with fresh, verified Australian company data.

With access to over 8,739,534 verified company records globally, CompanyData.com enables businesses to connect locally in Australia and expand internationally with confidence. Discover how our accurate, structured data helps drive smarter decisions, better targeting, and faster growth.

Australian Data Access (ADA) is a Visual Basic application that aims to provide economists and business analysts with structured real-time access to Australian Bureau of Statistics, Reserve Bank of Australia and other web-based time series datasets by directly interrogating the publicly available data on those websites and compiling the data into summary reports.

A continuation of the "Phytochemistry of Australian Plants" database compiled by David Collins and Don McGilvery. Contains chemical structures, references, species names, with persistent identifiers to the literature and Atlas of Living Australia (ALA) for geographical distributions. The current curation effort here adds DOIs/ISBNs/ISSNs for ~80% of references, persistent IDs for all species or genus to the ALA or other datasets, and validated structures (smiles) for ~70% of structures. No new entries have been added since the last update to the original database in 2022. Change log is in the README file.

Data provided here was obtained by the listed authors on linked publications, and these authors may have no association with CSIRO. CSIRO acknowledges that the publications linked here may contain Indigenous Cultural and Intellectual Property (ICIP), including traditional knowledge. CSIRO recognizes that First Nations peoples have the right to control, own and maintain their ICIP in accordance with Article 31 of the United Nations Declaration on the Rights of Indigenous Peoples. Users of this dataset may need to obtain permission from First Nations peoples for use of the information in linked publications. Users intending to collect and use biological specimens containing the compounds described in the dataset may also require permission of First Nations peoples, and may require permits and access permission from landholders. Recognizing that any ICIP in the linked publications is already publicly available but that the publications are not readily accessible by First Nations peoples, CSIRO is committed to finding ways to make the ICIP in these publications more findable and accessible to the First Nations communities from which the knowledge was originally obtained. Users should be aware that because of the historical context of some of the linked publications, they may contain words, descriptions, images or terms which may be culturally sensitive and/or offensive and that reflect authors’ views, or those of the period in which the content was created but may not be considered appropriate today. If First Nations people identify content within this dataset that they consider breaches cultural protocols they are encouraged to contact CSIRO on csiroenquiries@csiro.au or +61 3 9545 2176 to request its removal from the dataset. Please note that while CSIRO is able to administer the data housed within this dataset, this control does not extend to the associated publications. Requests to remove publications should be directed to the associated publishing company. Lineage: Original data extracted in 2022 from https://fms05.filemakerstudio.com.au/fmi/webd?homeurl=http://www.monash.edu/#PhytoChem by kind permission of David Collins and Don McGilvery.

There have been many individual phytoplankton datasets collected across Australia since the mid 1900s, but most are unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate 3,665,221 records of marine phytoplankton species from Australian waters from 1844 to the present. Many of these are small datasets collected for local questions, but combined they provide over 170 years of data on phytoplankton communities in Australian waters. Units and taxonomy have been standardised, obviously erroneous data removed, and all metadata included. We have lodged this dataset with the Australian Ocean Data Network (http://imos.aodn.org.au/), allowing public access. The Australian Phytoplankton Database will be invaluable for global change studies, as it allows analysis of ecological indicators of climate change and eutrophication (e.g., changes in distribution; diatom:dinoflagellate ratios). In addition, the standardised conversion of abundance records to biomass provides modellers with quantifiable data to initialise and validate ecosystem models of lower marine trophic levels.

This version of the database has been modified by 1) excluded existing data from IMOS, Antarctic Projects (597,599,744,746,748) as recorded in in imos_plankton.imos_apd_metadata 2) absence records have been removed.

Please Note: As announced by the Minister for Immigration and Border Protection on 25 June 2017, the Department of Immigration and Border Protection (DIBP) retired the paper-based Outgoing Passenger Cards (OPC) from 1 July 2017. The information previously gathered via paper-based outgoing passenger cards is now be collated from existing government data and will continue to be provided to users. Further information can be accessed here: http://www.minister.border.gov.au/peterdutton/Pages/removal-of-the-outgoing-passenger-card-jun17.aspx.

Due to the retirement of the OPC, the Australian Bureau of Statistics (ABS) undertook a review of the OAD data based on a new methodology. Further information on this revised methodology is available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/Previousproducts/3401.0Appendix2Jul%202017?opendocument&tabname=Notes&prodno=3401.0&issue=Jul%202017&num=&view=

A sampling methodology has been applied to this dataset. This method means that data will not replicate, exactly, data released by the ABS, but the differences should be negligible.

Due to ‘Return to Source’ limitations, data supplied to ABS from non-DIPB sources are also excluded.

Overseas Arrivals and Departures (OAD) data refers to the arrival and departure of Australian residents or overseas visitors, through Australian airports and sea ports, which have been recorded on incoming or outgoing passenger cards. OAD data describes the number of movements of travellers rather than the number of travellers. That is, multiple movements of individual persons during a given reference period are all counted. OAD data will differ from data derived from other sources, such as Migration Program Outcomes, Settlement Database or Visa Grant information. Travellers granted a visa in one year may not arrive until the following year, or may not travel to Australia at all. Some visas permit multiple entries to Australia, so travellers may enter Australia more than once on a visa. Settler Arrivals includes New Zealand citizens and other non-program settlers not included on the Settlement Database. The Settlement Database includes onshore processed grants not included in Settler Arrivals.

These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.

Summary details for each election year for the House of Representatives elections since 1901. This data includes electoral system characteristics, seats in chamber, number of enrolled voters, ballots cast, rate of voter turnout and rate of informal voting for Western Australia.

The Australian Food Composition Database (previously called NUTTAB) is a reference database that contains data on the nutrient content of Australian foods. It is referred to as a reference database because it contains mostly analysed data. Only a small proportion of data in the database come from other sources such as recipe calculations, food labels, imputing from similar foods or by borrowing from other countries. \r \r Release 1 of the Australian Food Composition Database contains nutrient data for 1,534 foods available in Australia and up to 256 nutrients per food. It is our most recent reference database with data preparation completed in 2017.\r \r This database used to be called NUTTAB. The name was changed to make it clear what the database contains.

Summary details for each election year for the Australian States Lower Houses. It includes electoral system characteristics, seats in chamber, number of enrolled voters, ballots cast, rate of voter turnout and rate of informal voting.

The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data from the Labour Force Survey conducted by the Australian Bureau of Statistics. The boundaries used in this survey are known as Statistical Area 4 regions. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

Zooplankton are the key trophic link between primary producers and fish in pelagic ecosystems. Historically, there are few zooplankton time series in Australia, with no datasets longer than two years prior to 2008. Here we compile 98,676 abundance records of more than 1,000 zooplankton taxa from unpublished research cruises, student projects, published literature and the recent Integrated Marine Observing System. This dataset covers the entire coastal and shelf region of Australia and dates back to 1938. Most records are for copepods, but there are also data for other taxa such as decapods, chaetognaths, thaliaceans, appendicularians and cladocerans. Metadata are provided for each record, including dates, coordinates and information on mesh size and sampling methods. To facilitate analysis across the multiple datasets, we have updated the species names according to the World Register of Marine Species (WoRMS; http://www.marinespecies.org/about.php) and converted units to abundance per m3. These data will be valuable for studies of biodiversity, biogeography, impacts of climate change and ecosystem health. We encourage researchers holding additional Australian zooplankton data to contact us and contribute their data to the dataset so we can periodically publish updates.

Data from IMOS Project 599 the National Reference Stations has been excluded as it is available from OBIS via the 'IMOS - AusCPR: Zooplankton Abundance' dataset.

SILO is a Queensland Government database containing continuous daily climate data for Australia from 1889 to present, in a number of ready-to-use formats, suitable for modelling and research applications. The SILO database contains two major classes of data: point (station) time series and spatial grids, both based on observed data from the Bureau of Meteorology ADAM (Australian Data Archive for Meteorology) database. For point data, interpolated or derived values are used where observations are missing. Gridded data are spatially interpolated from observations.

Australian Tourism Data Warehouse (ATDW) is the National Platform for Digital Tourism information on Australia.The ATDW ATLAS API allows you to extract tourism information from the ATDW database. The database contains over 40,000 tourism related products across a variety of categories. The API allows for geospatial searching of the data and allows filtering using the ATDW content structure. The content is compiled in a national agreed format an electronically accessible by tourism business owners (operators), wholesalers, retailers and distributors for use in their websites, booking systems and other digital channels. A 30 day free trial is available.

Aggregated Australian species occurrence data from 1900 to the present using a suite of facets of most importance for environmental assessments. Occurrence records were aggregated and organised by the Atlas of Living Australia (ALA, https://ala.org.au/) and include survey and monitoring data collected and managed by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/).

Data from these infrastructures and other sources have been organised here as a national public-access dataset.

This dataset serves as a standardised snapshot of Australian biodiversity occurrence data from which many indicator datasets can more readily be derived (see Has Derivation entries below).

The primary asset is AggregatedData_AustralianSpeciesOccurrences_1.1.2023-06-13.csv. This contains all faceted data records for the period and supported facets related to time, space, taxonomy and conservation significance.

Six derived assets (SummaryData-ProtectionStatusAustralianMarineSpeciesOccurrences-1.1.2023-06-13.csv, SummaryData-ProtectionStatusAustralianTerrestrialSpeciesOccurrences-1.1.2023-06-13.csv, SummaryData-IntroducedSpeciesOccurrencesByMarineEcoregion-1.1.2023-06-13.csv, SummaryData-IntroducedSpeciesOccurrencesByTerrestrialEcoregion-1.1.2023-06-13.csv, SummaryData-ThreatenedSpeciesOccurrencesByMarineEcoregion-1.1.2023-06-13.csv, SummaryData-ThreatenedSpeciesOccurrencesByTerrestrialEcoregion-1.1.2023-06-13.csv) demonstrate uses supported by the faceted data. Each is a pivot of the aggregated dataset.

The data-sources.csv file includes information on the source datasets within the Atlas of Living Australia that contributed to this asset. README.txt documents the columns in each data file.

Grouping records from this dataset supports comparisons between the number of occurrence records for different regions and/or time periods and/or categories of species and occurrence data. Grouped counts of this kind may serve as useful indications of variation and change across the dimensions compared. Note however that such counts may not accurately reflect real differences in biodiversity. It is important to consider confounding factors (particularly variations in recording effort over time). Grouping all records by a single facet (e.g. IBRA region) may help to expose such factors.

These data are versioned at 12-month intervals. Previous versions will be linked below under Previous Version. The latest version can always be accessed at https://ecoassets.org.au/data/aggregated-data-australian-species-occurrences/.

Notes

GRIIS 1.6 includes a number of vertebrate species listed because some individuals have been translocated or (re-)introduced beyond their remaining ranges for conservation purposes. It is unhelpful for the current analysis to treat these as introduced species. These species were removed from the version of the GRIIS list used in this analysis. In future versions of GRIIS, these species will be documented as native species that have been translocated/reintroduced. Lineage: All species occurrence data aggregated by the ALA as of 2022-12-31 were filtered to include only:

• Records from 1900 onwards
• Presence records only (exclude absence records
• Spatial coordinates present
• Taxon identified to at least species level
• Location falls within an IBRA or IMCRA region

Filtered data were processed to include the following elements:

1. Accepted taxon ID
2. Accepted species name
3. Classification (higher ranks)
4. Year of occurrence
5. Coordinates of occurrence
6. Basis of record (specimen, human observation, etc.)
7. State or Territory
8. IBRA7 terrestrial region
9. IMCRA 4.0 mesoscale marine bioregion
10. Status of location in CAPAD 2020 (not protected area, protected area, indigenous protected area)
11. Status of location in Forests of Australia (2013)
12. Status of location in Forests of Australia (2018)
13. Status of species on EPBC Act List of Threatened Species (mapped to accepted ALA species using GALAH R library)
14. Status of species on Global Register of Introduced and Invasive Species – Australia (GRIIS) version 1.6 (mapped to accepted ALA species)

Processed occurrence data were grouped to count records detected for each distinct combination of eleven primary facets. The resulting dataset is published as follows

• AggregatedData_AustralianSpeciesOccurrences_1.1.2023-06-13.csv

This dataset includes the following elements:

1. Year of occurrence
2. Basis of record (specimen, human observation, etc.)
3. State/Territory
4. IBRA7 terrestrial region
5. IMCRA 4.0 mesoscale marine bioregion
6. Status of location in Forests of Australia (2018)
7. Status of location in Forests of Australia (2013)
8. Status of location in CAPAD 2020 (not protected, PA – protected area, IPA – indigenous protected area)
9. Status of species on EPBC Act List of Threatened Species
10. Status of species on Global Register of Introduced and Invasive Species – Australia (GRIIS) version 1.6
11. ALA species identifier
12. Scientific name for species
13. Count of occurrence records matching the values for elements 1 to 11

Six derived summary datasets are also included. Each of this is a pivot of data in the main dataset and demonstrates a use case for the information:

• SummaryData-ProtectionStatusAustralianTerrestrialSpeciesOccurrences-1.1.2023-06-13.csv
• SummaryData-ProtectionStatusAustralianMarineSpeciesOccurrences-1.1.2023-06-13.csv

These two datasets include the following columns:

1. IBRA7 / IMCRA 4.0 bioregion
2. ALA Species ID
3. Species scientific name
4. EPBC status for species
5. Count of all records for species from region
6. Count of all records for species from protected areas inside region
7. Count of all records for species from protected areas under indigenous management inside region

• SummaryData-ThreatenedSpeciesOccurrencesByTerrestrialEcoregion-1.1.2023-06-13.csv
• SummaryData-ThreatenedSpeciesOccurrencesByMarineEcoregion-1.1.2023-06-13.csv

These two datasets include the following columns:

1. IBRA7 / IMCRA 4.0 bioregion
2. Starting year of the time period
3. Ending year of the time period
4. EPBC status for species
5. Count of all occurrence records in the region and status for the given period
6. Count of all distinct species in the region and status for the given period

• SummaryData-IntroducedSpeciesOccurrencesByTerrestrialEcoregion-1.1.2023-06-13.csv
• SummaryData-IntroducedSpeciesOccurrencesByMarineEcoregion-1.1.2023-06-13.csv

These two datasets include the following columns:

1. IBRA7 / IMCRA 4.0 bioregion
2. Starting year of the time period
3. Ending year of the time period
4. GRIIS status for species (Native, Introduced, Invasive)
5. Count of all occurrence records in the region and status for the given period
6. Count of all distinct species in the region and status for the given period

Geoscape G-NAF is the geocoded address database for Australian businesses and governments. It’s the trusted source of geocoded address data for Australia with over 50 million contributed addresses distilled into 15.4 million G-NAF addresses. It is built and maintained by Geoscape Australia using independently examined and validated government data.

From 22 August 2022, Geoscape Australia is making G-NAF available in an additional simplified table format. G-NAF Core makes accessing geocoded addresses easier by utilising less technical effort.

G-NAF Core will be updated on a quarterly basis along with G-NAF.

Further information about contributors to G-NAF is available here.

With more than 15 million Australian physical address record, G-NAF is one of the most ubiquitous and powerful spatial datasets. The records include geocodes, which are latitude and longitude map coordinates. G-NAF does not contain personal information or details relating to individuals.

Updated versions of G-NAF are published on a quarterly basis. Previous versions are available here

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Changes in the August 2025 release

• Nationally, the August 2025 update of G-NAF shows an overall increase of 40,716 addresses (0.30%). The total number of addresses in G-NAF now stands at 15,794,643 of which 14,950,491 or 94.66% are principal.

• In the ACT, there have been minor updates to the address parsing of flat-numbered addresses aimed at: improving the address representation of flat-numbered addresses; improving address coverage; and improving address alignment between contributors. This change affects approximately 4,000 addresses.

• A small number of additional address sites have implemented the use of the BUILDING_NAME attribute as part of the merge criteria to improve address coverage for flat-numbered addresses in NSW and QLD. These changes have resulted in the creation of approximately 400 addresses in NSW and 120 in QLD.

• A focus has been applied to Tasmanian street-locality addresses to reduce the number of these addresses. For the August 2025 release, there is a reduction of some 900 street-locality addresses in Tasmania.

• Geoscape has moved product descriptions, guides and reports online to https://docs.geoscape.com.au.

Further information on G-NAF, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on G-NAF, including software solutions, consultancy and support.

Additional information: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

License Information

Use of the G-NAF downloaded from data.gov.au is subject to the End User Licence Agreement (EULA)

The EULA terms are based on the Creative Commons Attribution 4.0 International license (CC BY 4.0). However, an important restriction relating to the use of the open G-NAF for the sending of mail has been added.

The open G-NAF data must not be used for the generation of an address or the compilation of an address for the sending of mail unless the user has verified that each address to be used for the sending of mail is capable of receiving mail by reference to a secondary source of information. Further information on this use restriction is available here.

End users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

_G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the _Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

Preferred attribution for Adapted Material:

Incorporates or developed using G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

What to Expect When You Download G-NAF

G-NAF is a complex and large dataset (approximately 5GB unpacked), consisting of multiple tables that will need to be joined prior to use. The dataset is primarily designed for application developers and large-scale spatial integration. Users are advised to read the technical documentation, including product change notices and the individual product descriptions before downloading and using the product. A quick reference guide on unpacking the G-NAF is also available.

The National Spectral Database (NSD) houses data taken by Australian remote sensing scientists. The database includes spectra covering targets as diverse as mineralogy, soils, plants, water bodies and various land surfaces.
Currently the database holds spectral information from multiple locations across the country and as the collection grows in spatial / temporal coverage, the NSD will service continental scale validation requirements of the Earth observation community for satellite-based measurements of surface reflectance. The NSD is accessed with information provided at the NSD Geoscience Australia Content Management Interface (CMI) web page: https://cmi.ga.gov.au/data-products/dea/643/australian-national-spectral-database

Value: Curated spectral data provides a wealth of knowledge to remote sensing scientists. For other parties interested in calibration and validation (Cal/Val) of surface reflectance products, the Geoscience Australia (GA) Cal/Val dataset provides a useful resource of ground-truth data to compare to reflectance captured by Landsat 8 and Sentinel 2 satellites. The Aquatic Library is a robust collection of Australian datasets from 1994 to present time, primarily of end-member and substratum measurements. The University of Wollongong collection represents immense value in end-member studies, both terrestrial and aquatic.

Scope: The NSD covers Australian data including historical datasets as old as 1994. Physical study sites encompass locations around Australia, with spectra captured in every state.

Data types: - Spectral data: raw digital numbers (DN), radiance and reflectance. - From spectral bands VIS-NIR, SWIR1 & SWIR2: wavelengths 350nm - 2500nm collected with instruments in the field or lab setting.

Contact for further information: NSDB_manager@ga.gov.au

To view the entire collection click on the keyword "HVC 144490" in the below Keyword listing

Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/data/dataset/previous-versions-of-the-geoscape-administrative-boundaries

Geoscape Administrative Boundaries is Australia’s most comprehensive national collection of boundaries, including government, statistical and electoral boundaries. It is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.

This dataset comprises seven Geoscape products:

• Localities
• Local Government Areas (LGAs)
• Wards
• Australian Bureau of Statistics (ABS) Boundaries
• Electoral Boundaries
• State Boundaries and
• Town Points

Updated versions of Administrative Boundaries are published on a quarterly basis.

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Notable changes in the August 2025 release

• There have been spatial changes (area) greater than 1 km2 to the localities ‘Bibbenluke’ and ‘Ando’ in New South Wales.

• There have been spatial changes (area) greater than 1 km2 to the localities ‘Camooweal’ and ‘Lawn Hill’ in Queensland.

• There have been spatial changes (area) greater than 1 km2 to the localities ‘Dampier Archipelago’, ‘Caiguna’, ‘Cocklebiddy’, ‘Eucla’, ‘Madura’ and ‘Maitland’ in Western Australia.

Further information on Administrative Boundaries, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International license (CC BY 4.0).

Preferred attribution for Adapted Material:

Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

What to Expect When You Download Administrative Boundaries

Administrative Boundaries is large dataset (around 1.5GB unpacked), made up of seven themes each containing multiple layers.

Users are advised to read the technical documentation including the product change notices and the individual product descriptions before downloading and using the product.

Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous

License Information

The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 license.

Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Australia Whois Database, discover comprehensive ownership details, registration dates, and more for domains registered in Australia with Whois Data Center.

This Australian and New Zealand food category cost dataset was created to inform diet and economic modelling for low and medium socioeconomic households in Australia and New Zealand. The dataset was created according to the INFORMAS protocol, which details the methods to systematically and consistently collect and analyse information on the price of foods, meals and affordability of diets in different countries globally. Food categories were informed by the Food Standards Australian New Zealand (FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database, with additional food categories created to account for frequently consumed and culturally important foods.

Methods The dataset was created according to the INFORMAS protocol [1], which detailed the methods to collect and analyse information systematically and consistently on the price of foods, meals, and affordability of diets in different countries globally.

Cost data were collected from four supermarkets in each country: Australia and New Zealand. In Australia, two (Coles Merrylands and Woolworths Auburn) were located in a low and two (Coles Zetland and Woolworths Burwood) were located in a medium metropolitan socioeconomic area in New South Wales from 7-11th December 2020. In New Zealand, two (Countdown Hamilton Central and Pak ‘n Save Hamilton Lake) were located in a low and two (Countdown Rototuna North and Pak ‘n Save Rosa Birch Park) in a medium socioeconomic area in the North Island, from 16-18th December 2020.

Locations in Australia were selected based on the Australian Bureau of Statistics Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) [2]. The index ranks areas from most disadvantaged to most advantaged using a scale of 1 to 10. IRSAD quintile 1 was chosen to represent low socio-economic status and quintile 3 for medium SES socio-economic status. Locations in New Zealand were chosen using the 2018 NZ Index of Deprivation and statistical area 2 boundaries [3]. Low socio-economic areas were defined by deciles 8-10 and medium socio-economic areas by deciles 4-6. The supermarket locations were chosen according to accessibility to researchers. Data were collected by five trained researchers with qualifications in nutrition and dietetics and/or nutrition science.

All foods were aggregated into a reduced number of food categories informed by the Food Standards Australian New Zealand (FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database, with additional food categories created to account for frequently consumed and culturally important foods. Nutrient data for each food category can therefore be linked to the Australian Food and Nutrient (AUSNUT) 2011-13 database [4] and NZ Food Composition Database (NZFCDB) [5] using the 8-digit codes provided for Australia and New Zealand, respectively.

Data were collected for three representative foods within each food category, based on criteria used in the INFORMAS protocol: (i) the lowest non-discounted price was chosen from the most commonly available product size, (ii) the produce was available nationally, (iii) fresh produce of poor quality was omitted. One sample was collected per representative food product per store, leading to a total of 12 food price samples for each food category. The exception was for the ‘breakfast cereal, unfortified, sugars ≤15g/100g’ food category in the NZ dataset, which included only four food price samples because only one representative product per supermarket was identified.

Variables in this dataset include: (i) food category and description, (ii) brand and name of representative food, (iii) product size, (iv) cost per product, and (v) 8-digit code to link product to nutrient composition data (AUSNUT and NZFCDB).

References

Vandevijvere, S.; Mackay, S.; Waterlander, W. INFORMAS Protocol: Food Prices Module [Internet]. Available online: https://auckland.figshare.com/articles/journal_contribution/INFORMAS_Protocol_Food_Prices_Module/5627440/1 (accessed on 25 October).
2071.0 - Census of Population and Housing: Reflecting Australia - Stories from the Census, 2016 Available online: https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by Subject/2071.0~2016~Main Features~Socio-Economic Advantage and Disadvantage~123 (accessed on 10 December).
Socioeconomic Deprivation Indexes: NZDep and NZiDep, Department of Public Health. Available online: https://www.otago.ac.nz/wellington/departments/publichealth/research/hirp/otago020194.html#2018 (accessed on 10 December)
AUSNUT 2011-2013 food nutrient database. Available online: https://www.foodstandards.gov.au/science/monitoringnutrients/ausnut/ausnutdatafiles/Pages/foodnutrient.aspx (accessed on 15 November).
NZ Food Composition Data. Available online: https://www.foodcomposition.co.nz/ (accessed on 10 December)

Usage Notes The uploaded data includes an Excel spreadsheet where a separate worksheet is provided for the Australian food price database and New Zealand food price database, respectively. All cost data are presented to two decimal points, and the mean and standard deviation of each food category is presented. For some representative foods in NZ, the only NFCDB food code available was for a cooked product, whereas the product is purchased raw and cooked prior to eating, undergoing a change in weight between the raw and cooked versions. In these cases, a conversion factor was used to account for the weight difference between the raw and cooked versions, to ensure that nutrient information (on accessing from the NZFCDB) was accurate. This conversion factor was developed based on the weight differences between the cooked and raw versions, and checked for accuracy by comparing quantities of key nutrients in the cooked vs raw versions of the product.

AusTraits is a transformative database, containing measurements on the traits of Australia's plant taxa, standardised from hundreds of disconnected primary sources. So far, data have been assembled from > 300 distinct sources, describing > 500 plant traits and > 34,000 taxa. To handle the harmonising of diverse data sources, we use a reproducible workflow to implement the various changes required for each source to reformat it suitable for incorporation in AusTraits. Such changes include restructuring datasets, renaming variables, changing variable units, changing taxon names. While this repository contains the harmonised data, the raw data and code used to build the resource are also available on the project's GitHub repository, https://github.com/traitecoevo/austraits.build/. Further information on the project is available at the project website austraits.org and in the associated publication (see below). CONTRIBUTORS The project is jointly led by Dr Daniel Falster (UNSW Sydney), Dr Rachael Gallagher (Western Sydney University), Dr Elizabeth Wenk (UNSW Sydney), and Dr Hervé Sauquet (Royal Botanic Gardens and Domain Trust Sydney), with input from > 300 contributors from over > 100 institutions (see full list above). The project was initiated by Dr Rachael Gallagher and Prof Ian Wright while at Macquarie University. We are grateful to the following institutions for contributing data Australian National Botanic Garden, Brisbane Rainforest Action and Information Network, Kew Botanic Gardens, National Herbarium of NSW, Northern Territory Herbarium, Queensland Herbarium, Western Australian Herbarium, South Australian Herbarium, State Herbarium of South Australia, Tasmanian Herbarium, Department of Environment Land Water and Planning Victoria and the Royal Botanic Gardens Victoria. AusTraits has been supported by investment from the Australian Research Data Commons (ARDC), via their "Transformative data collections" (https://doi.org/10.47486/TD044) and "Data Partnerships" (https://doi.org/10.47486/DP720, https://doi.org/10.47486/DP720A) programs; and grants from the Australian Research Council (FT160100113, DE170100208, FT100100910) and Macquarie University, The ARDC is enabled by National Collaborative Research Investment Strategy (NCRIS). ACCESSING AND USE OF DATA The compiled AusTraits database is released under an open source licence (CC-BY), enabling re-use by the community. A requirement of use is that users cite the AusTraits resource paper, which includes all contributors as co-authors: Falster, Gallagher et al (2021) AusTraits, a curated plant trait database for the Australian flora. Scientific Data 8: 254, https://doi.org/10.1038/s41597-021-01006-6 In addition, we encourage users you to cite the original data sources, wherever possible. Note that under the license data may be redistributed, provided the attribution is maintained. The downloads below provide the data in two formats: austraits-X.X.X.zip: data in plain text format (.csv, .bib, .yml files). Suitable for anyone, including those using Python. austraits-X.X.X.rds: data as compressed R object. Suitable for users of R (see below). For R users, access and manipulation of data is assisted with the austraits R package. The package can both download data and provides examples and functions for running queries. STRUCTURE OF AUSTRAITS The compiled AusTraits database contains a series of relational tables and files. These elements include all the data, contextual information submitted with each contributed datasets, database schema, and trait definitions. The file dictionary.html provides the same information in textual format. Similar information is available at https://traitecoevo.github.io/traits.build-book/. CONTRIBUTING We envision AusTraits as an on-going collaborative community resource that: Increases our collective understanding the Australian flora; Facilitates accumulation and sharing of trait data; Builds a sense of community among contributors and users; and Aspires to fully transparent and reproducible research of the highest standard. As a community resource, we are very keen for people to contribute. Assembly of the database is managed on GitHub at https://github.com/traitecoevo/austraits.build/. Here are some of the ways you can contribute: Reporting Errors: If you notice a possible error in AusTraits, please post an issue on GitHub. Refining documentation: We welcome additions and edits that make using the existing data or adding new data easier for the community. Contributing new data: We gladly accept new data contributions to AusTraits. See full instructions on how to contribute at https://github.com/traitecoevo/austraits.build/. | External Organisations University of New South Wales; Western Sydney University; Royal Botanic Garden Sydney; Macquarie University; Commonwealth Scientific & Industrial Research Organisation; Department of Primary Industries (New South Wales); Centre for Australian National Biodiversity Research; Swinb…

The Australian Shark-Incident Database (ASID), formerly known as the Australian Shark Attack File (ASAF), quantifies temporal and spatial patterns of shark-human interactions in Australia.

The Australian Shark-Incident Database is a joint partnership with Taronga Conservation Society Australia, along with Flinders University, and the New South Wales Department of Primary Industries

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