As of September 5, 2022, the number of male 20 to 29 year olds diagnosed with COVID-19 in Australia had reached around 23,164 cases per 100,000 people. At the time, people 70-79 years of age had the lowest share of confirmed cases across males and females.

Bankruptcies in Australia increased to 1104 Companies in September from 1090 Companies in August of 2025. This dataset provides - Australia Bankruptcies - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

In the 2007/2008 southern summer season a stratified random selection of travellers to the Antarctic were sampled for propagules on their way to Antarctica or sub-Antarctic islands.

This dataset lists the number of seeds found on each visitor, as well as the number of different seed morphotypes (species) per visitor. In addition data on visitor characteristics are given, derived from the Visitor Clothing Survey (VCS) questionnaire data (see separate download link).

Sampling was done by cleaning out the outer clothing (jackets, outer trousers, hats, gloves), insulation layer (jerseys, fleece), backpacks, camera bags, daypacks, boots and shoes, and walking poles and camera tripods, using Philips FC 9154 Performer Animal Care vacuum cleaners. All material was collected in nylon mesh bags, placed just behind the suction opening. For all people performing the sampling a detailed instruction DVD was provided.

Each sample in its mesh bag was placed a plastic bag, and put in an envelope, together with the matching questionnaire. Similarly the dust bag used (a new dust bag was inserted in the vacuum cleaner for each person sampled) was put in a labelled plastic bag. Plastic bag, each page of the questionnaire, and the envelope were labelled with a barcode sticker, a different barcode for each sampled person. On the plastic bag with the mesh bag with the sample was indicated which item(s) was (were) sampled.

At the end of the field season all questionnaires and samples were returned to the Netherlands (samples collected from people travelling through South America), South Africa (people leaving from Cape Town), Japan (people travelling with the Japanese national program vessel), or Australia (people travelling from Australia or New Zealand). Here the samples were weighed, and sorted into plant seeds, other plant propagules (large fragments of moss, hepatics or lichens), invertebrate animal remains, and other material.

Whenever possible all different items of clothing etc. were sampled separately. In this way separate samples per item were collected from 350 people.

The dataset lists the number of seeds found on separate items of clothing or other equipment per visitor, as well as the number of different seed morphotypes (species) per visitor. The number of seeds and number of species (morphotypes) is based on the results of the seed identifications (see metadata record Aliens_in_Antarctica_seed_identifications).

Items that were sampled separately were:

J Outer Jacket T Outer trousers I Insulating layer H Headwear G Gloves/mittens F Outdoor footwear B Various bags S Camera tripods/walking sticks

In addition data on visitor characteristics are given, derived from the VCS questionnaire data (see metadata record Aliens_in_Antarctica_survey_data).

Personnel

The samples were collected by a large number of volunteers on the various ships and airplanes travelling to the Antarctic in the 2007/2008 summer season. Volunteers were shown an instruction video on how to collect the samples.

Responsible for the organisation of the data collecting were: Dr. A.H.L. Huiskes, Netherlands Institute of Ecology, P.O. Box 140, 4400 AC Yerseke, The Netherlands Dr. D.M. Bergstrom, Australian Antarctic Division, Department of the Environment, Water, Heritage and the Arts, 203 Channel Highway, Kingston 7050, Australia. Dr. K. Hughes, British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road Cambridge CB3 0E T, UK Dr. M. Lebouvier, University of Rennes 1, Station Biologique, 35380 Paimpont, France Dr. J. Lee, Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa Dr. S. Imura, National Institute of Polar Research, Tokyo, Japan

The samples were sorted by Dr N.J.M. Gremmen, Netherlands Institute of Ecology, P.O. Box 140, 4400 AC Yerseke, The Netherlands Dr. K. Kiefer, Australian Antarctic Division, Department of the Environment, Water, Heritage and the Arts, 203 Channel Highway, Kingston 7050, Australia. Dr. J. Lee, Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa M. Tsujimoto, National Institute of Polar Research, Tokyo, Japan

Dr N.J.M. Gremmen, Netherlands Institute of Ecology, P.O. Box 140, 4400 AC Yerseke, The Netherlands, was responsible for the organization of the data in digital form.