5 datasets found
  1. r

    Queensland Gay Community Periodic Survey Data

    • researchdata.edu.au
    Updated 2011
    + more versions
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    Holt Martin; University of New South Wales; University of New South Wales; The University of New South Wales; Martin Holt; Martin Holt (2011). Queensland Gay Community Periodic Survey Data [Dataset]. http://doi.org/10.26190/UNSWORKS/1382
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    Dataset updated
    2011
    Dataset provided by
    UNSW, Sydney
    University of New South Wales
    Authors
    Holt Martin; University of New South Wales; University of New South Wales; The University of New South Wales; Martin Holt; Martin Holt
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    Jun 1999 - Present
    Area covered
    Queensland
    Description

    The Queensland Gay Community Periodic Survey is a cross-sectional survey of gay and homosexually active men recruited through a range of gay community sites in QLD. Data were collected on types of sexual relationships and number of partners, anal and oral intercourse, unprotected anal intercourse, testing for HIV and other STIs, HIV serostatus, recreational drug use, as well as demographic characteristics such as sexual identity and age. Sample Population: gay and homosexually-active men from Queensland. Method of Data Collection: Self-completion. Participants were recruited through sites in Brisbane, the Gold Coast, the Sunshine Coast, Cairns and Townville as well as from gay social venues, gay sex-on-premises venues, sexual health clinics and the Pride Fair Day. Kind of Data: Survey. Sampling Procedures: Convenience sample. Time Dimensions: Repeated cross-sectional study.
    http://csrh.arts.unsw.edu.au/research/publications/gcps/

  2. q

    Australian creative employment (Census extracts)

    • researchdatafinder.qut.edu.au
    Updated May 18, 2022
    + more versions
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    Dr Marion McCutcheon (2022). Australian creative employment (Census extracts) [Dataset]. https://researchdatafinder.qut.edu.au/display/n16132
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    Dataset updated
    May 18, 2022
    Dataset provided by
    Queensland University of Technology (QUT)
    Authors
    Dr Marion McCutcheon
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Australia
    Description

    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.

  3. O

    Births by Hospital

    • data.qld.gov.au
    • researchdata.edu.au
    • +1more
    csv
    Updated Feb 13, 2025
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    Justice (2025). Births by Hospital [Dataset]. https://www.data.qld.gov.au/dataset/births-by-hospital
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    csv(1.5 KiB), csv(2 KiB), csvAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Justice
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Births that occurred by hospital name. Birth events of 5 or more per hospital location are displayed

  4. r

    Severe Wind Hazard Assessment for South East Queensland - tropical cyclone...

    • researchdata.edu.au
    • ecat.ga.gov.au
    Updated Dec 12, 2022
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    Commonwealth of Australia (Geoscience Australia) (2022). Severe Wind Hazard Assessment for South East Queensland - tropical cyclone impact scenarios [Dataset]. http://doi.org/10.26186/147586
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    Dataset updated
    Dec 12, 2022
    Dataset provided by
    Geoscience Australia
    Commonwealth of Australia (Geoscience Australia)
    Authors
    Commonwealth of Australia (Geoscience Australia)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The region of coastal South East Queensland (SEQ) represents a large concentration of population, business activity and infrastructure important to the economy of Queensland and Australia. The region is also subject to severe storms that can generate damaging winds, particularly as a result of thunderstorm and tropical cyclone activity. Older residential homes have historically been the most damaged in such storms, contributing disproportionately to community risk, and recent storm damage in Western Australia has indicated that there are issues with modern SEQ homes also. This risk posed by severe wind is not well understood, nor are the optimal strategies for managing and potentially reducing this risk. Previous work has provided insights into the potential impacts of rare storm events in the SEQ region and the vulnerability of residential homes that contribute to them. The Severe Wind Hazard Assessment for Queensland (SWHAQ) project (Arthur, et al., 2021) provided valuable insights on the potential impacts of rare tropical cyclones making landfall in the region. The SWHA-Q project included two storms impacting the Gold Coast that highlighted that credible cyclone events in South East Queensland generating no more than design level wind gusts can have challenging consequences.

    Five tropical cyclone scenario events were selected by the project partners and modelled to provide a demonstration of the residential housing damage outcomes that could result from plausible storms that could impact South East Queensland. Four storms generated category 3 winds (gusts over 165 km/h) on landfall and were essentially design level events for ordinary residential structures. The fifth (Scenario 3) generated category 4 winds (gusts over 225 km/h) at landfall but was still quite a credible storm for the region. The events highlighted, as did the previous SWHA-Q work, that rare cyclone events of this kind affect all parts of the study region and produce very significant consequences. One design level event (Scenario 2) was found to inflict moderate or greater damage to 39% of the homes in the region, representing a major need for temporary accommodation. One of the events was used as the evidence-based scenario that underpinned Exercise Averruncus – A SEQ Tropical Cyclone Impact held in Brisbane on 15 June 2022 that explored critical issues around preparation for, response to, and initial recovery from the event. It is noted that the scale of impacts from any scenario is contingent on the characteristics of the TC itself (size, intensity, landfall location) and on the landscape in which buildings are located. However, while each scenario is unique, the suite of scenario impacts provide a useful resource for EM planning by local government, emergency services and other agencies with a role in disaster recovery.

  5. r

    Data from: Gay Community Periodic Survey: Queensland 2006

    • researchdata.edu.au
    Updated 2011
    + more versions
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    Holt Martin; Prestage Garrett; Kippax Susan; University of New South Wales; University of New South Wales; The University of New South Wales; Susan Kippax; Martin Holt; Garrett Prestage (2011). Gay Community Periodic Survey: Queensland 2006 [Dataset]. http://doi.org/10.26190/UNSWORKS/1235
    Explore at:
    Dataset updated
    2011
    Dataset provided by
    UNSW, Sydney
    University of New South Wales
    Authors
    Holt Martin; Prestage Garrett; Kippax Susan; University of New South Wales; University of New South Wales; The University of New South Wales; Susan Kippax; Martin Holt; Garrett Prestage
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    2006
    Area covered
    Queensland
    Description

    The Queensland Gay Community Periodic Survey is a cross-sectional survey of gay and homosexually active men recruited through a range of gay community sites in Perth. Data were collected on types of sexual relationships and number of partners, anal and oral intercourse, unprotected anal intercourse, testing for HIV and other STIs, HIV serostatus, recreational drug use, as well as demographic characteristics such as sexual identity and age. Sample Population: 1276 gay and homosexually-active men from Queensland. Method of Data Collection: Self-completion. Participants were recruited through sites in Brisbane, the Gold Coast, the Sunshine Coast, Cairns and Townville as well as from gay social venues, gay sex-on-premises venues, sexual health clinics and the Pride Fair Day. Kind of Data: Survey. Sampling Procedures: Convenience sample. Time Dimensions: Repeated cross-sectional study.
    http://csrh.arts.unsw.edu.au/research/publications/gcps/

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Share
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Click to copy link
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Close
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Holt Martin; University of New South Wales; University of New South Wales; The University of New South Wales; Martin Holt; Martin Holt (2011). Queensland Gay Community Periodic Survey Data [Dataset]. http://doi.org/10.26190/UNSWORKS/1382

Queensland Gay Community Periodic Survey Data

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
2011
Dataset provided by
UNSW, Sydney
University of New South Wales
Authors
Holt Martin; University of New South Wales; University of New South Wales; The University of New South Wales; Martin Holt; Martin Holt
License

Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
License information was derived automatically

Time period covered
Jun 1999 - Present
Area covered
Queensland
Description

The Queensland Gay Community Periodic Survey is a cross-sectional survey of gay and homosexually active men recruited through a range of gay community sites in QLD. Data were collected on types of sexual relationships and number of partners, anal and oral intercourse, unprotected anal intercourse, testing for HIV and other STIs, HIV serostatus, recreational drug use, as well as demographic characteristics such as sexual identity and age. Sample Population: gay and homosexually-active men from Queensland. Method of Data Collection: Self-completion. Participants were recruited through sites in Brisbane, the Gold Coast, the Sunshine Coast, Cairns and Townville as well as from gay social venues, gay sex-on-premises venues, sexual health clinics and the Pride Fair Day. Kind of Data: Survey. Sampling Procedures: Convenience sample. Time Dimensions: Repeated cross-sectional study.
http://csrh.arts.unsw.edu.au/research/publications/gcps/

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