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Found 74 result(s)
Country
More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity. By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing. This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
Country
TERN's AEKOS data portal is the original gateway to Australian ecology data. It is a ‘data and research methods’ data portal for Australia’s land-dwelling plants, animals and their environments. The primary focus of data content is raw co-located ‘species and environment’ ecological survey data that has been collected at the ‘plot’ level to describe biodiversity, its patterns and ecological processes. It is openly accessible with standard discovery metadata and user-oriented, contextual metadata critical for data reuse. Our services support the ecosystem science community, land managers and governments seeking to publish under COPE publishing ethics and the FAIR data publishing principles. AEKOS is registered with Thomson & Reuters Data Citation Index and is a recommended repository of Nature Publishing’s Scientific Data. There are currently 97,037 sites covering mostly plant biodiversity and co-located environmental data of Australia. The AEKOS initiative is supported by TERN (tern.org.au), hosted by The University of Adelaide and funded by the Australian Government’s National Research Infrastructure for Australia.
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The Australian Institute of Marine Science (AIMS) is a tropical marine research centre. The AIMS Data Repository preserves experimental and survey data, sensor data, research analyses and other types of data collected by projects conducted by the Australian Institute of Marine Science (AIMS). Contributors to the repository are primarily AIMS researchers from various science disciplines including ecology, biology, environmental sciences, microbiology, geosciences and oceanography, geochemistry, biodiversity conservation, evolutionary environmental studies, climate and oceanic change, fisheries, biochemistry and molecular biology, limnology and functions of inland waters, genetics and hereditary, observing network
The Australian National University undertake work to collect and publish metadata about research data held by ANU, and in the case of four discipline areas, Earth Sciences, Astronomy, Phenomics and Digital Humanities to develop pipelines and tools to enable the publication of research data using a common and repeatable approach. Aims and outcomes: To identify and describe research data held at ANU, to develop a consistent approach to the publication of metadata on the University's data holdings: Identification and curation of significant orphan data sets that might otherwise be lost or inadvertently destroyed, to develop a culture of data data sharing and data re-use.
The Atlas of Living Australia (ALA) combines and provides scientifically collected data from a wide range of sources such as museums, herbaria, community groups, government departments, individuals and universities. Data records consist of images, literature, molecular DNA data, identification keys, species interaction data, species profile data, nomenclature, source data, conservation indicators, and spatial data.
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AusGeochem is an easy-to-use platform for uploading, visualising, analysing and discovering georeferenced sample information and data produced by various geoscience research institutions such as universities, geological survey agencies and museums. With respect to analytical research laboratories, AusGeochem provides a centralised repository allowing laboratories to upload, archive, disseminate and publish their datasets. The intuitive user interface (UI) allows users to access national publicly funded data quickly through the ability to view an area of interest, synthesise a variety of geochemical data in real-time, and extract the required data, gaining novel scientific insights through multi-method data collation. Lithodat Pty Ltd has integrated built-in data synthesis functions into the platform, such as cumulative age histograms, age vs elevation plots, and step-heating diagrams, allowing for rapid inter-study comparisons. Data can be extracted in multiple formats for re-use in a variety of software systems, allowing for the integration of regional datasets into machine learning and AI systems.
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The Australian Antarctic Data Centre (AADC) provides data collection and data management services in Australia's Antarctic Science Program. The AADC manages science data from Australia's Antarctic research, maps Australia's areas of interest in the Antarctic region, manages Australia's Antarctic state of the environment reporting, and provides advice and education and a range of other products.
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The Australian Data Archive (ADA) provides a national service for the collection and preservation of digital research data and to make these data available for secondary analysis by academic researchers and other users. Data are stored in seven sub-archives: Social Science, Historical, Indigenous, Longitudinal, Qualitative, Crime & Justice and International. Along with Australian data, ADA International is also a repository for studies by Australian researchers conducted in other countries, particularly throughout the Asia-Pacific region. The ADA International data catalogue includes links to studies from countries including New Zealand, Bangladesh, Cambodia, China, Indonesia, and several other countries. In 2017 the archive systems moved from the existing Nesstar platform to the new ADA Dataverse platform https://dataverse.ada.edu.au/
The Australian Drosophila Ecology and Evolution Resource (ADEER) from the Hoffmann lab and other contributors is a nationally significant life science collection. The Drosophila Clinal Data Collection contains data on populations along the eastern coast of Australia. It remains an excellent resource for understanding past and future evolutionary responses to climate change. The Drosophila Genomic Data Collection hosts Drosophila genomes sequenced as part of the Genomic Basis for Adaptation to Climate Change Project. 23 genomes have been sequenced as part of this project. Currently assemblies and annotations are available for Drosophila birchii, D. bunnanda, D. hydei, and D. repleta. The Drosophila Species Distribution Data Collection contains distribution data of nine drosophilid species that have been collected in Australia by the Hoffmann lab and other research groups between 1924 and 2005. More than 300 drosophilid species have been identified in the tropical and temperate forests located on the east coast of Australia. Many species are restricted to the tropics, a few are temperate specialists, and some have broad distributions across climatic regions. Their varied distribution along the tropical - temperate cline provide a powerful tool for studying climate adaptation and species distribution limits.
Content type(s)
The Australian New Zealand Clinical Trials Registry (ANZCTR) is an online register of clinical trials being undertaken in Australia, New Zealand and elsewhere. The ANZCTR includes trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies.
Country
Australian Ocean Data Network (AODN) provides data collected by the Australian marine community. AODN's data is searchable via map interface and metadata catalogue. AODN is Australia's exhaustive repository for marine and climate data. AODN has merged with IMOS eMarine Information Infrastructure (eMII) Facility in May 2016. IMOS is a multi-institutional collaboration with a focus on open data access. It is ideally placed to manage the AODN on behalf of the Australian marine and climate community.
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Australian Waterbird Surveys (AWS) is an information source of waterbird communities around Australia, based on surveys of their diversity and numbers. It relies on rigorous data collection protocols and includes more than 50 waterbird species and up to 30 years of survey data. This open source also includes the extent of flooding of thousands of wetlands observed during our surveys. As a group, waterbirds can be sentinels of the ecological health of our wetlands and rivers. We hope this free information system will help track long-term changes in the environment, provide an assessment tool for individual species, report on our national and international responsibilities and help improve the way we manage our rivers and wetlands. It has been developed with the support of research and government partners.
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BioGrid Australia Limited operates a federated data sharing platform for collaborative translational health and medical research providing a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. BioGrid links real-time de-identified health data across institutions, jurisdictions and diseases to assist researchers and clinicians improve their research and clinical outcomes. The web-based infrastructure provides ethical access while protecting both privacy and intellectual property.
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Birdata is your gateway to BirdLife Australia data including the Atlas of Australian Birds and Nest record scheme. You can use Birdata to draw bird distribution maps and generate bird lists for any part of the country. You can also join in the Atlas and submit survey information to this important environmental database. Birdata is a partnership between Birds Australia and the Tony and Lisette Lewis Foundation's WildlifeLink program to collect and make Birds Australia data available online.
Country
This study assessed differences in avian biodiversity across different forest age-classes, including mature stands (> 100 years), in a managed, mixed-species eucalypt forest located in Gippsland, south-eastern Australia. Avian surveys and detailed habitat measurements were initially carried out in 50 two hectare stands ranging in age from 100 years. Extensive wildfire which occurred during the study reduced the number of sites to 28 (seven in each of four age classes) upon which analyses and inferences were made. Mature vegetation (> 100 years) had the greatest richness, abundance and biomass of birds. Key ecological resources, such as tree-hollows for nesting, generally occurred mostly in stands > 60 years. There were quantum increases in all measures of avian biodiversity in mature stands (> 100 years). The visualisation of the survey data is part of an interoperable web-GIS maintained by the Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia (FedUni).
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The team have established the CardiacAI Data Repository that brings large amounts of Australian healthcare data together in a secure environment with strict conditions for use of these data with an appropriate level of oversight of research activities. The CardiacAI Data Repository collects de-identified EMR data about cardiovascular patients who are admitted to a group of urban and regional hospitals in NSW and links this with state-wide hospital and emergency deparment visit and mortality data and mobile-health remote monitoring data.
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The CCC method yields accurate excitation and ionisation cross sections for atomic and ionic targets which are well-modelled by one or two valence electrons above a Hartree-Fock core. Inner core ionisation can be a major contributor to the total ionisation cross section. Such contributions can be estimated using various forms of Born-based approximations.
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>>>!!! <<< 2021-09-01: repository is offline >>>!!!<<< Background: Many studies have been conducted to detect quantitative trait loci (QTL) in dairy cattle. However, these studies are diverse in terms of their differing resource populations, marker maps, phenotypes, etc, and one of the challenges is to be able to synthesise this diverse information. This web page has been constructed to provide an accessible database of studies, providing a summary of each study, facilitating an easier comparison across studies. However, it also highlights the need for uniform reporting of results of studies, to facilitate more direct comparisons being made. Description: Studies recorded in this database include complete and partial genome scans, single chromosome scans, as well as fine mapping studies, and contain all known reports that were published in peer-reviewed journals and readily available conference proceedings, initially up to April 2005. However, this data base is being added to, as indicated by the last web update. Note that some duplication of results will occur, in that there may be a number of reports on the same resource population, but utilising different marker densities or different statistical methodologies. The traits recorded in this map are milk yield, milk composition (protein yield, protein %, fat yield, fat %), and somatic cell score (SCS).