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

Monthly sampling of adult Lingula anatina was conducted on the intertidal sand flat at Shelly Beach, near Townsville between February 1973 and February 1974. Gonad indices (100xgonad wet weight/total wet weight) were calculated for 20 female specimens from each sample. Smears of gonad tissue from each animal were made and 20 ova per specimen were measured.

Oblique plankton hauls were made at 8 stations along a transect between Townsville and Coil Reef at fortnightly intervals between July 1972 and February 1975. The stations were located at 8, 17, 26, 38, 53, 66, 77 and 86 km from Townsville. Paired nets (mesh size 190 µm and 106 µm, each with a 25 cm aperture) were hauled from the bottom or from a maximum depth of 30 m. Larvae from both nets were treated as a single sample. Plankton samples were also collected in Cleveland Bay at a station 5 km from Townsville at least monthly between April 1974 and February 1976 and then weekly until November 1977. Samples were collected using a single net with mesh size of 120 µm and a 7.5 cm diameter aperture. Calibrated flow meters allowed calculation of the volume of water sampled on each occasion.

Larvae were counted and the number per cubic metre of water sampled was calculated. A total of 199 larvae were fixed, stained with carmine and mounted on slides. Measurements were made of the width and length of the larval valves and the protegulum and the lophophoral ciri were counted. The stage of development of the pedicle, mantle setae, alimentary tract and muscles were recorded.

A study of the population genetics of Zoanthid species in the Great Barrier Reef and Torres Strait. Variations in gene frequencies of allozymes and common proteins were used to estimate connectivity …Show full descriptionA study of the population genetics of Zoanthid species in the Great Barrier Reef and Torres Strait. Variations in gene frequencies of allozymes and common proteins were used to estimate connectivity and dispersal between populations, and to determine their phylogeny (discrete species identities). Zoanthus coppingeri was studied in greater detail.In 1992-1993, 1261 samples of Palythoa sp. were collected from 2 backreef sites at each of 19 reefs (at least 30 individuals per site) and one site at Hope Island (analysis suggested that all samples were Palythoa caesia). Seven enzymes (GPI, EST-D, MPI, MDH, ME, PGM, HK) were used in the analysis. BIOSYS-1 was used to calculate gene frequencies and genetic variablity.355 specimens were collected from 19 locations 1992-1994. 7 species were identified (Palythoa caesia, Protopalythoa mutuki, Pro. sp.2, Pro. sp.3, Sphenopus marsupialis, Zoanthus coppingeri and Z. vietnamensis) form the samples. Gene frequencies at 13 enzyme loci (ENO, EST-D, GP, HK,LGG-1, LGG-2, LP, LT-1, LT-2, MDH-1, MDH-2, ME, PGM) were analysed. UPGMA cluster analysis was carried out and a phylogenic tree constructed for assessing genetic variablity. A taxonomic key was created for Great Barrier Reef and Torres Strait Zoanthidae, as well as a table of diagnostic features for 10 morphological groupings of Zoanthidae and one species (Parazoanthus dichroicus) of Parazoanthidae.During 1992-1993, 319 samples of intertidal Zoanthus coppingeri were collected from Kissing Point, Townsville and 2 sites each at Cockle Bay on Magnetic Island and Low Island (Low Isles). Six polymorphic enzymes (ENO, MDH, EST-D, HK, PGM, LGG) were used in the analysis at site level, subsite level and locality level. Values of genetic differentiation were calculated. To estimate connectivity and dispersal between populations, and to determine discrete species identities.To examine patterns of clonal structure within populations of Z. coppingeri. Collection locations: 11087, 11102, 21299, 21491, 21551, Border Island, Bowden, Cape Cleveland, Cockle Bay (Magnetic Island), Endeavour, Goods Island, Heron Island, Hope Island, Hyde, John Brewer, Kissing Point (Townsville), Low Isles, Mabuiag Island, Magnetic Island, Myrmidon, Orpheus Island, Pandora, Pelorus, Pith, Rib, Ross, Ruby, Stucco, Tuesday Island, Turtle, Wistari Reefs.

A study of the population genetics of Zoanthid species in the Great Barrier Reef and Torres Strait. Variations in gene frequencies of allozymes and common proteins were used to estimate connectivity and dispersal between populations, and to determine their phylogeny (discrete species identities). Zoanthus coppingeri was studied in greater detail.In 1992-1993, 1261 samples of Palythoa sp. were collected from 2 backreef sites at each of 19 reefs (at least 30 individuals per site) and one site at Hope Island (analysis suggested that all samples were Palythoa caesia). Seven enzymes (GPI, EST-D, MPI, MDH, ME, PGM, HK) were used in the analysis. BIOSYS-1 was used to calculate gene frequencies and genetic variablity.355 specimens were collected from 19 locations 1992-1994. 7 species were identified (Palythoa caesia, Protopalythoa mutuki, Pro. sp.2, Pro. sp.3, Sphenopus marsupialis, Zoanthus coppingeri and Z. vietnamensis) form the samples. Gene frequencies at 13 enzyme loci (ENO, EST-D, GP, HK,LGG-1, LGG-2, LP, LT-1, LT-2, MDH-1, MDH-2, ME, PGM) were analysed. UPGMA cluster analysis was carried out and a phylogenic tree constructed for assessing genetic variablity. A taxonomic key was created for Great Barrier Reef and Torres Strait Zoanthidae, as well as a table of diagnostic features for 10 morphological groupings of Zoanthidae and one species (Parazoanthus dichroicus) of Parazoanthidae.During 1992-1993, 319 samples of intertidal Zoanthus coppingeri were collected from Kissing Point, Townsville and 2 sites each at Cockle Bay on Magnetic Island and Low Island (Low Isles). Six polymorphic enzymes (ENO, MDH, EST-D, HK, PGM, LGG) were used in the analysis at site level, subsite level and locality level. Values of genetic differentiation were calculated.
To estimate connectivity and dispersal between populations, and to determine discrete species identities.To examine patterns of clonal structure within populations of Z. coppingeri.
Collection locations: 11087, 11102, 21299, 21491, 21551, Border Island, Bowden, Cape Cleveland, Cockle Bay (Magnetic Island), Endeavour, Goods Island, Heron Island, Hope Island, Hyde, John Brewer, Kissing Point (Townsville), Low Isles, Mabuiag Island, Magnetic Island, Myrmidon, Orpheus Island, Pandora, Pelorus, Pith, Rib, Ross, Ruby, Stucco, Tuesday Island, Turtle, Wistari Reefs.

The Australian Marine Microbial Biodiversity Initiative (AMMBI) provides methodologically standardized, continental scale, temporal phylogenetic amplicon sequencing data describing Bacteria, Archaea and microbial Eukarya assemblages. Sequence data is linked to extensive physical, biological and chemical oceanographic contextual information. Samples are collected monthly to seasonally from multiple depths at seven National Reference Stations (NRS) sites: Darwin Harbour (Northern Territory), Yongala (Queensland), North Stradbroke Island (Queensland), Port Hacking (New South Wales), Maria Island (Tasmania), Kangaroo Island (South Australia), Rottnest Island (Western Australia). The Integrated Marine Observing System (IMOS) NRS network is described at http://imos.org.au/facilities/nationalmooringnetwork/nrs/ Yongala NRS is located 11 nm offshore at a depth of 28 m over sandy substrate, mid-shelf between the mainland and the coral reef in the tropical Great Barrier Reef (GBR) Lagoon. The mooring is located near the Yongala Wreck, out from Cape Bowling Green, in the central GBR. The closest major city is Townsville (population 171,824), approximately 100 km to the north. The site is generally well mixed with competing influences of the south-eastward lagoonal branch of the EAC and the opposing south-easterly trade wind forced coastal current. However, the monsoonal climate brings rain during December to April, and may result in river plume impingement and stratification. This is a site where significant ocean acidification projects are being carried out.

Site details from Brown, M. V. et al. Continental scale monitoring of marine microbiota by the Australian Marine Microbial Biodiversity Initiative. Sci. Data 5:180130 doi: 10.1038/sdata.2018.130 (2018). Site location: Yongala National Reference Station (NRS), Queensland, Australia Note on data download/processing: Data downloaded from Australian Microbiome Initiative via Bioplatforms Australia Data Portal on 17 June 2022. The search filter applied to download data from Bioplatforms Australia Data portal are stored in the Darwin Core property (identificationRemarks). Taxonomy is assigned according to the taxonomic database (SILVA 138) and method (Sklearn) which is stored in the Darwin Core Extension DNA derived data property (otu_db). Prefix were removed from the taxonomic names as shown in the example (e.g. d_Bacteria to Bacteria). Scientific name is assigned to the valid name available from the highest taxonomic rank. This collection is published as Darwin Core Occurrence, so the event level measurements need to be replicated for every occurrence. Instead of data replication, the event level eMoF data are made available separately at https://www.marine.csiro.au/data/services/obisau/emof_export.cfm?ipt_resource=bioplatforms_mm_nrs_yon

This data set is from a survey to measure regional media habits of the population in and around the Townsville area. The data was collected electronically between March 01, 2016 and January 29, 2017. The data was collected as part of a public exhibition at the Museum of Tropical Queensland.

Data consists of the survey questions (PDF format) and the results, saved in both MS Powerpoint (.pptx) and Open Document (.odp) formats.

The final Australian National Liveability Study 2018 datasets comprise a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities, and summarised at range of larger area scales (Mesh Block, Statistical Areas 1-4, Suburb, LGA, and overall city summaries). The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The datasets were produced through analysis of built environment and social data from multiple sources including OpenStreetMap the Australian Bureau of Statistics, and public transport agency GTFS feed data. These are provided in CSV format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020. A detailed description of the datasets and the study has been published in Nature Scientific Data, and notes and code illustrating usage of the data are located on GitHub. The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.