This document describes the background and methodology of four surveys under the general study title Issues in Multicultural Australia. The four surveys are: a general sample of the population; non-English speaking born immigrants in general (the NESB sample); persons born in Australia whose father or mother was born in a non-English speaking country (the second generation sample); and persons who migrated to Australia since July 1981 from non-English speaking countries (the new arrivals sample). The general of this study are: to examine multiculturalism as a policy, through the experience of Australians; as a set of beliefs, through their attitudes; and as an aspect of cultural maintenance, through their perceptions. The study concentrates on three broad themes. First, it examines the attitudes of the Australian and overseas born towards multiculturalism, focussing in particular on views about the maintenance of customs, ways of life and patterns of behaviour among immigrants. Second, the barriers which exist to providing full access and equity to overseas born groups are analysed, principally in the fields of education, jobs and in the provision of general health and welfare programmes and services. Third, the study looks at levels of participation in the social and political spheres in community, culture and work related organisations, and in the use of the political process to remedy problems and grievances. Separate sections of the questionnaire deal with the respondent's background - country of birth and parents' country of birth, father's occupation and educational level; language - English language ability, languages spoken, use of own language, ethnicity - identification with ethnic groups, government aid to such groups, religious observance; education - school leaving age, qualifications obtained, recognition of overseas qualifications, transition to employment; current job - job status, occupation , industry, working conditions, trade union membership, gross income, problems looking for work; spouse - country of birth, education and qualifications, occupation and industry, income and income sources; immigration - attitudes to immigration policy, opportunities for immigrants, social distance from various ethnic groups, and attitudes to authority; family and social networks - numbers of children, siblings in Australia, numbers of close friends in Australia, neighbours; citizenship - citizenship status, participation in political matters and interest in politics, trust in government; and multiculturalism - views on what multiculturalism means, and its importance to Australian society.

HuNI (Humanities Networked Infrastructure) combines data from many Australian cultural websites into the biggest humanities and creative arts database ever assembled in Australia. HuNI data covers all disciplines and brings together information about the people, works, events, organisations and places that make up the country's rich cultural landscape.

The Australian National Algae Culture Collection (ANACC) is housed at the Hobart laboratories of CSIRO, Australia. The collection consists of 1000 strains of more than 300 microalgae species, including Bacillariophyta (diatoms), Chlorophyta (unicellular green algae including Chlorophyceae, Prasinophyceae and Trebouxiophyceae), Chrysophyta (golden algae), Cryptophyta (cryptomonads), Cyanophyta (blue-green algae or cyanobacteria), Dinophyta (dinoflagellates), Euglenophyta (euglenoid flagellates), Eustigmatophyceae (eustigmatophytes), Haptophyta (prymnesiophytes), Raphidophyta (chloromonads) and Rhodophyta (red algae). 779 strains have associated georeferenced data and information on these is supplied to OBIS, the Ocean Biogeographic Information System. A small proportion of the strains (mainly of Cyanophyta) represent freshwater species, with the majority being marine or brackish. Some strains have originated from other algal culture collections worldwide, while the majority are new isolates from the Australian region. For more information see https://www.csiro.au/en/about/facilities-collections/collections/anacc

The land-use profile surrounding a neighbourhood is a determinant of health and associated with socioeconomic outcomes. In Australia, there is no national publicly available dataset detailing the land-use profile surrounding residential neighbourhoods. Using PostGIS a centroid was placed in every Australian Bureau of Statistics (ABS) defined Mesh Block (MB) – the smallest geographical structure in Australian geography which details the category of land-use (i.e. residential, parkland, commercial, industrial etc.) and population. Each MB was assigned a remoteness classification and socioeconomic status, as defined by the ABS. After a buffer based on a radius of 400 metres, 1-kilometre, 2-kilometres, and 5-kilometres was calculated around each centroid, the square metre of, and the percentage of the buffer covered by, each land-use category was calculated. This dataset will support the decisions of urban planners, diverse government departments, researchers and those involved in public and environmental health.

This study explores team leaders’ and directors’ perceptions of the facilitators and barriers to effective mental health care to meet the needs of culturally and linguistically diverse (CALD) clients in the public mental health system across greater Brisbane, Australia. This is critical given Australia’s cultural diversity and treatment limitations and gaps for CALD clients. A purposive sample of decision-makers working in the public mental health system (N = 6) completed semi-structured interviews. A thematic analysis was undertaken to identify dominant themes. Participants discussed planning, delivery, and evaluation of culturally inclusive and effective mental health care. When planning for culturally appropriate services, collaboration with internal services, such as multicultural specialist services, was the most frequently discussed facilitator, while limited resources were the most identified barrier. Clinicians’ cultural sensitivity and biases were identified as an important influence on service delivery. Participants identified significant gaps in evaluation and limited data collection to support the evaluation of cultural safety within services. The findings provide insight into systemic factors affecting culturally inclusive and safe practices in an Australian public mental health setting. Implications for research, policy, and practice are discussed. What is already known about this topic:Managers’ directly and indirectly promote values, norms, and biases from a top-down manner, which influence culturally safe care (Aggarwal et al., 2016; Mollah et al., 2018; Smedley et al., 2003).Managers perceive culturally sensitive practitioners who adopt the client’s cultural conceptualisation of illness and organisations that provide cultural safety training, are all facilitators to culturally safe care (Aggarwal et al., 2016; Colucci et al., 2015).Managers perceive limited time, large workloads, client’s fear of stigma, and a complex healthcare system as barriers to culturally safe care (Aggarwal et al., 2016; Colucci et al., 2015). Managers’ directly and indirectly promote values, norms, and biases from a top-down manner, which influence culturally safe care (Aggarwal et al., 2016; Mollah et al., 2018; Smedley et al., 2003). Managers perceive culturally sensitive practitioners who adopt the client’s cultural conceptualisation of illness and organisations that provide cultural safety training, are all facilitators to culturally safe care (Aggarwal et al., 2016; Colucci et al., 2015). Managers perceive limited time, large workloads, client’s fear of stigma, and a complex healthcare system as barriers to culturally safe care (Aggarwal et al., 2016; Colucci et al., 2015). What this topic adds:Managers highly value collaboration with, and outreach into, local communities, however, this is not translating into practice due to barriers outside of managerial control. An organisational and system level approach is required to effectively reduce barriers in service planning.Mental health services are not consistently collecting data and utilising feedback from multiple respondents to inform future planning, enhance client access, and guide intervention. Further work is needed to identify how this can be done more comprehensively and effectively within busy mental health services.A coordinated national approach is required to examine funding models, the effectiveness of cultural safety training, the efficacy of national standards and benchmarks of care, and quality assurance processes. Managers highly value collaboration with, and outreach into, local communities, however, this is not translating into practice due to barriers outside of managerial control. An organisational and system level approach is required to effectively reduce barriers in service planning. Mental health services are not consistently collecting data and utilising feedback from multiple respondents to inform future planning, enhance client access, and guide intervention. Further work is needed to identify how this can be done more comprehensively and effectively within busy mental health services. A coordinated national approach is required to examine funding models, the effectiveness of cultural safety training, the efficacy of national standards and benchmarks of care, and quality assurance processes.

The dataset examines how pro-environmental individuals living in the USA and in Australia perceive nature in the digital era, and how digital technology affects human relationship with nature.

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Census employment and income data for persons working in creative industries and creative occupations.

This dataset consists of 14 individual datasets that underpin the interactive dashboards on the project's Data Tables webpage.

Project background:

Australian cultural and creative activity: A population and hotspot analysis is an Australian Research Council Linkage project (LP160101724) being undertaken by QUT and the University of Newcastle, in partnership with Arts Queensland, Create NSW, Creative Victoria, Arts South Australia and the Western Australian Department of Local Government, Sport and Cultural Industries.

This comprehensive project aims to grasp the contemporary dynamics of cultural and creative activity in Australia. It brings together population-level and comparative quantitative and qualitative analyses of local cultural and creative activity. The project will paint a complete national picture, while also exploring the factors that are producing local and regional creative hotspots.

Creative hotspots for study were selected in consultation with state research partners:

Queensland – Cairns, Sunshine Coast + Noosa, Gold Coast, Central West Queensland
New South Wales – Coffs Harbour, Marrickville, Wollongong, Albury
Victoria – Geelong + Surf Coast, Ballarat, Bendigo, Wodonga
Western Australia – Geraldton, Fremantle, Busselton, Albany + Denmark
South Australia – to be confirmed shortly

Statistical summaries drawn from a diverse range of data sources including the Australian Census, the Australian Business Register, IP Australia registration data, infrastructure availability lists and creative grants and rights payments as well as our fieldwork, inform hotspot reports.

This service has been created specifically for display in the National Map and the chosen symbology may not suit other mapping applications. The Australian Topographic web map service is seamless …Show full descriptionThis service has been created specifically for display in the National Map and the chosen symbology may not suit other mapping applications. The Australian Topographic web map service is seamless national dataset coverage for the whole of Australia. These data are best suited to graphical applications. These data may vary greatly in quality depending on the method of capture and digitising specifications in place at the time of capture. The web map service portrays detailed graphic representation of features that appear on the Earth's surface. These features include culture, habitation, industry and utility themes from the Geoscience Australia 250K Topographic Data.

Aboriginal cultural heritage refers to the elements, both tangible and intangible, that hold significant value to Aboriginal people for their social, spiritual, historical, scientific, or aesthetic importance within Aboriginal traditions. This could include rock art, ancient caves or burial sites, waterways, ceremonial sites or scar trees. This data set contains Aboriginal Cultural Heritage Places within Western Australia that have been reported to the Registrar of Aboriginal Sites as possible Aboriginal sites within the meaning of Section 5 of the Aboriginal Heritage Act 1972. This dataset contains records that are: Historic: Places assessed as not meeting Section 5 of the Aboriginal Heritage Act 1972, and places previously on the Register that are no longer in existence. Note: to preserve confidentiality, the exact location and extent of some places are not displayed on the map—however a shaded region (generally with an area of at least 4km²) provides a general indication of where the place is located. Some information, including the precision of Aboriginal Place boundaries, is based on historical information provided before the use of accurate spatial referencing tools such as GPS or high-resolution mapping systems. It therefore may be inaccurate and indicative. Please check the status of the ‘boundary reliable’ field for any Aboriginal Heritage Place you are accessing. If you are aware of updated information relating to Aboriginal Heritage Places, please report this information to the Department.

What: Locations of publicly posted Corflutes and election posters Where: Albury, NSW, Australia When: 1–3 May 2025 Occasion: Australian Federal Election 2025

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.

This project uses data on same-gendered households (via the 2016 Australian Census) and cohabitation rates (via behavioural population surveys) to estimate the total number and prevalence of gay men and lesbian women living across Australia and in each postcode. The data and code for generating relevant outputs and analyses are contained here.(i) Stock datasets [Files: remoteness2012.dta; postcode_clusters.dta] This item contains files required to organize the Australian Census data: (i) the 'remoteness' classifications per the Australian Statistical Geography Standard (Australian Bureau of Statistics, 2011), and (ii) clustering of those postcodes with base total populations of less than 200 people. The clustering process was undertaken manually by reviewing postcodes in that bracket and combining them with neighboring postcodes within the same jurisdictions and remoteness classification until the threshold of 200 was met. Preference was given for clustering postcodes that shared the largest geographic border and/or with the smallest population sizes.(ii) Underlying datasets [Files: pop_sex_0-9.xlsx; pop_sex_10-19.xlsx; pop_sex_18.xlsx; pop_sex_19.xlsx; pop_sex_20-24.xlsx; pop_sex_25-29.xlsx; pop_sex_all.xlsx; ss_couples_all.xlsx]This item contains tables created by and extracted from the Australian Bureau of Statistics 'TableBuilder' platform, which allows access to and organization of aggregate data from the 2016 Australian Census. The tables exist in two groups (i) total number of Census participants, stratified by postcode, age group and gender, and (ii) total number of same-gendered households, stratified by postcode and gender.(iii) Organizational code [File: generate dataset and analysis.do]This file contains the code (Stata, version 15.0) to organize the 'underlying datasets' and combine them with information collated from behavioral survey data. To account for remoteness classification via the Australian Statistical Geography Standard, it merges by postcode on a separate 'stock dataset' (remoteness2012). To account for clustering of postcodes with small overall populations, it merges by postcode on a separate 'stock dataset' (postcode_clusters). The code additionally produces outcomes of descriptive analyses and relevant tables, and generates a final dataset of, by-postcode, population sizes and prevalences.(iv) Final dataset [File: Appendix B - dataset.xlsx]This final dataset contains organized, merged and interpreted outcomes, presented as variables of, by-postcode, the estimated absolute number and prevalence of gay men and lesbian women in Australia. A data dictionary is included.

This is a superseded dataset, the most recent Australia's Indigenous land and forest estate spatial dataset can be found at: https://www.agriculture.gov.au/abares/forestsaustralia/forest-data-maps-an…Show full descriptionThis is a superseded dataset, the most recent Australia's Indigenous land and forest estate spatial dataset can be found at: https://www.agriculture.gov.au/abares/forestsaustralia/forest-data-maps-and-tools/spatial-data/indigenous-land-and-forest. Australia’s Indigenous forest estate (2018) is a continental spatial dataset of forest and non-forest land over which Indigenous peoples and communities have ownership, management, or rights of use, assembled for Australia's State of the Forests Report 2018. It was developed from multiple data sources, including national, state and territory datasets related to land in which there is an Indigenous interest. The Indigenous land dataset is then combined with forest cover information from the Forests of Australia (2018) dataset: https://data.gov.au/data/dataset/forests-of-australia-2018 The dataset was compiled by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) for the National Forest Inventory (NFI), a collaborative partnership between the Australian and state and territory governments. The role of the NFI is to collate, integrate and communicate information on Australia's forests. The NFI applies a national classification to state and territory data to allow seamless integration of these datasets. Multiple independent sources of external data are used to fill data gaps and improve the quality of the final dataset. The NFI classifies Indigenous land into four categories: *Indigenous owned and managed: freehold land that is both owned and managed by Indigenous communities *Indigenous managed: land that is managed, but not owned, by Indigenous communities; and lands that are owned by Indigenous people but have formal shared management agreements with Australia and state and territory government agencies *Indigenous co-managed: land that is owned and managed by other parties, but has a formal, legally binding agreement in place that includes input from Indigenous people in the process of developing and implementing a management plan *Other Special rights: land subject to native title determination, registered Indigenous land use agreement, and legislated special cultural use provision. The Australia’s Indigenous forest estate (2018) dataset is produced to fulfil requirements of Australia's National Forest Policy Statement and the Regional Forests Agreement Act 2002 (Cwth), and is used by the Australian Government for domestic and international reporting. This dataset is updated every five years for the Australia's State of the Forests Report Series. Further information can be found on the Forests Australia website: http://www.agriculture.gov.au/abares/forestsaustralia/sofr/sofr-2018

Access APINSW Features of Interest Category - General Cultural Area Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into …Show full description Access APINSW Features of Interest Category - General Cultural Area Please Note WGS 84 = GDA94 service This dataset has a spatial reference of [WGS 84 = GDA94] and can NOT be easily consumed into GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS84 = GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that these original services will adopt the new multiCRS functionally. General Cultural Area is a man-made polygon feature defining general cultural data feature types. Feature Types in this layer include: Building Area: Dwelling - A main place of residence. This polygon feature dataset is part of the Physiography Category. Where possible, polygon geometries of the building dwelling dataset align to the topographic and cadastral databases. Pondage: Swimming Pool - An enclosed or artificial pool for swimming in for public use. This does not include domestic swimming pools. · Settling Pond - Shallow beds, usually segmented by constructed walls, for the treatment of sewage or other wastes. Water Filtration Bed - Shallow beds, usually segmented by constructed walls, for the treatment of water. · Restricted Area - A restricted area designated for defense purposes. MetadataType Esri Feature Service Update Frequency As required Contact Details Contact us via the Spatial Services Customer Hub Relationship to Themes and Datasets Features of Interest Category of the Foundation Spatial Data Framework (FSDF) Accuracy The dataset maintains a positional relationship to, and alignment with, a range of themes from the NSW FSDF including, transport, imagery, positioning, water and land cover. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Spatial Reference System (dataset) Geocentric Datum of Australia 1994 (GDA94), Australian Height Datum (AHD) Spatial Reference System    (web service) EPSG 4326: WGS84 Geographic 2D WGS84 Equivalent To GDA94 Spatial Extent Full state Standards and Specifications Open Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Distributors Service Delivery, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795Dataset Producers and Contributors Administrative Spatial Programs, DCS Spatial Services 346 Panorama Ave Bathurst NSW 2795

The Wadeye Song Database is a subset of the Murriny Patha Song Project data collection, made available to researchers, students and the community through an online database and website. The Murriny Patha Song Project data collection consists of audio-recordings and linguistic and contextual documentation of indigenous Australian music. The collection is one outcome of an ARC Discovery project to produce authoritative, thorough and archivally sound musicological and linguistic documentation of the public dance songs of Murriny Patha (Murrinhpatha) people at Wadeye, NT, Australia.

The project team worked with traditional owners to record, translate and document song cycles from three song genres (djanba, wurltjirri and malgarrin). Contextual information about the song, the singers and the associated places and concepts was also recorded.

The Wadeye Song Database collection includes data files in a variety of media. Audio files were recorded in standard .mp3 and .wav formats. Video files were recorded in .mov, .mp4 and mpeg2 formats. Documentary materials were collected and stored in multiple formats, including .xml, plain text, .rtf, word and .pdf. Supplementary materials include images in .tiff and .jpeg format.

Items in the collection that were originally recorded as early as 1972 on cassette and DAT.The majority of the data collection was recorded and/or digitised between 2004 and 2008.

Collaborators include Linda Barwick, Allan Marett, Michael Walsh, Joe Blythe, Nick Reid and Lysbeth Ford.

For further information please refer to the Wadeye Song Database website and the Murriny Patha Song website.

Fidelity to migratory destinations is an important driver of connectivity in marine and avian species. Here we assess the role of maternally directed learning of migratory habitats, or migratory culture, on the population structure of the endangered Australian and New Zealand southern right whale. Using DNA profiles, comprising mitochondrial DNA (mtDNA) haplotypes (500 bp), microsatellite genotypes (17 loci) and sex from 128 individually-identified whales, we find significant differentiation among winter calving grounds based on both mtDNA haplotype (FST = 0.048, ΦST = 0.109, p < 0.01) and microsatellite allele frequencies (FST = 0.008, p < 0.01), consistent with long-term fidelity to calving areas. However, most genetic comparisons of calving grounds and migratory corridors were not significant, supporting the idea that whales from different calving grounds mix in migratory corridors. Furthermore, we find a significant relationship between δ13C stable isotope profiles of 66 Australian southern right whales, a proxy for feeding ground location, and both mtDNA haplotypes and kinship inferred from microsatellite-based estimators of relatedness. This indicates migratory culture may influence genetic structure on feeding grounds. This fidelity to migratory destinations is likely to influence population recovery, as long-term estimates of historical abundance derived from estimates of genetic diversity indicate the South Pacific calving grounds remain at <10% of pre-whaling abundance.

COLLECTION

The Living Archive of Aboriginal Languages (www.cdu.edu.au/laal) is a digital archive of endangered literature in over 35 Australian Indigenous languages from the Northern Territory (NT). The project began in 2012 with a focus on books which were produced in NT Literature Production Centres during the era of bilingual education between 1973 and 2000. Approximately 4000 texts were identified from 20 Literature Production Centres (most now closed), and due to the demise of bilingual programs, many of the materials produced for these programs are no longer in use, and in many places are being lost, damaged or, occasionally, deliberately destroyed.

A second round of Australian Research Council funding (Linkage, Infrastructure, Equipment and Facilities – LE140100063) enabled an expansion of the archive to include materials from communities which did not have bilingual programs, and to focus on engagement with the materials in the archive within communities, school programs, and academia. The project is a partnership between Charles Darwin University, NT Department of Education, Batchelor Institute of Indigenous Tertiary Education, Northern Territory Library, NT Catholic Education Office, and Australian National University.

Setting up the repository involves identifying and sourcing the books, scanning and digitising them, converting them to text files and checking both texts and metadata. Copyright owners have licensed the conversion and publication of the materials online, and individual creators (authors, illustrators, translators, etc) have been asked for permission to make these materials available. The materials are available under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Australia license

The collection includes a wide range of materials developed in the bilingual programs for use in the classroom, but also for the wider community. They included teaching materials, literacy primers, children’s stories, stories of local cultural significance, such as non-sacred versions of Dreaming or Creation stories, histories, experience stories, natural science, instructional manuals, cautionary tales, environmental knowledge, traditional practices, oral literature, and ethno-botany texts.

The dataset is available online through www.cdu.edu.au/laal, which uses a custom-built interface to the materials stored on Charles Darwin University Library’s open source Fez and Fedora based research repository, known as eSpace. The dataset includes presentation copies of the materials – with PDF versions for display and printing, plus plain text files (in Unicode). The preservation versions (TIFF files of each digitised page) will be available on application. The metadata is compatible with OLAC (Open Language Archives Community) standards, and so can be easily harvested through search engines.

Contact: livingarchive@cdu.edu.au

ANDS Collection description for http://researchdata.ands.org.au/living-archive-of-aboriginal-languages

The data were collected as part of the validation of a self-assessment tool for mental health practitioners who work with Aboriginal and Torres Strait Islander clients. The scores in the dataset represent responses from 400 participants who completed an online Qualtrics survey containing the 35 items of this tool. Some of the items were reverse scored in the survey but this dataset has all scores recoded so that they are the true scores as they stand.

This dataset is designed to provide information on the spatial locations of all sites of convict incarceration in Van Diemen's Land (Tasmania), facilitating the geolocation of non-spatial data by researchers. Point coordinates have been provided using the GDA 94 (MGA Zone 55) reference system. The dataset also provides information on the type of convict place, its temporal range of occupation and metadata on contemporary administrative management. Each place has been uniquely coded, providing a tag that can be appended to non-spatial data to facilitate geographic linkage. The dataset was compiled to facilitate comparative research for the ARC Discovery project 'Landscapes of Production and Punishment (DP170103642). It has been released to allow researchers in the same field to utilise similar coding conventions for their analysis of convict places and to provide a framework for similar geolocation projects. Contributions to this dataset were made by researcher John Dent, who provided data on a number of locations in northern Tasmania. These contributions have been attributed where they appear. Contextual data were provided by the volunteer transcription project run by the ARC project 'Landscapes of Production and Punishment', as well as by Hamish Maxwell-Stewart, from data sourced for the ARC linkage project 'Conviction Politics: Investigating the Convict Routes of Australian Democracy'. This is an active dataset and may be updated as new data is sourced.