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6 content providers found

Keywords: or acoustic  or characterisation  or data infrastructure  or supercomputers  or university 


  • Australian Research Data Commons (ARDC)

    The Australian Research Data Commons (ARDC) enables the Australian research community and...

    61 training material
    10 upcoming event (141 past event)
    Australian Research Data Commons (ARDC) https://dresa.org.au/content_providers/australian-research-data-commons-ardc The Australian Research Data Commons (ARDC) enables the Australian research community and industry access to nationally significant, data intensive digital research infrastructure, platforms, skills and collections of high quality data. As a national research infrastructure provider, the ARDC facilitates partnerships to develop a coherent research environment that enables researchers to find, access, contribute to and effectively use services to maximise research quality and impact. /system/content_providers/images/000/000/001/original/ARDC_Docusign_logo_-_296_x_76px_.png?1627455958
  • Sydney Informatics Hub

    We are a core research facility of the University of Sydney. We provide support, training, and...

    13 training material
    3 upcoming event (176 past event)
    Sydney Informatics Hub https://dresa.org.au/content_providers/sydney-informatics-hub We are a core research facility of the University of Sydney. We provide support, training, and expertise in research data management, statistics, data science, software engineering, simulation, visualisation, bioinformatics, and research computing. /system/content_providers/images/000/000/009/original/University_of_Sydney_logo.png?1633565253
  • Pawsey Supercomputing Research Centre

    The Pawsey Supercomputing Research Centre is 1 of 2 Tier 1 supercomputing centres in...

    7 training material
    0 upcoming event (33 past event)
    Pawsey Supercomputing Research Centre https://dresa.org.au/content_providers/pawsey-supercomputing-research-centre The Pawsey Supercomputing Research Centre is 1 of 2 Tier 1 supercomputing centres in Australia. Pawsey prides itself on incorporating a range of best practices, features and solutions. Key features of the Centre include: - A purpose-built supercomputing building of more than 1000 m2 at Technology Park in Kensington, Western Australia; complete with scalable cooling and electrical services, to accommodate for expanding supercomputing infrastructure within the facility - A unique groundwater cooling system for removing heat from the supercomputer and dissipating this heat via an aquifer, 140 metres below the Centre, with no loss of groundwater. A photovoltaic system which has been incorporated into the building’s shaded façade, plus an extensive PV array on the roof of the building - This installation generates 140 kW of electricity onsite, which acts to offset the electrical and CO2 footprint of the Supercomputing Centre - Automated ‘intelligence’ incorporated into the building, with real-time monitoring, to facilitate efficient operation and support fine tuning of operations to reduce overall power costs /system/content_providers/images/000/000/004/original/PAW_RGB_H.png?1633498197
  • La Trobe University Statistics Consultancy Platform

    The La Trobe University Statistics Consultancy Platform enables and accelerates research programs...

    2 upcoming event (24 past event)
    La Trobe University Statistics Consultancy Platform https://dresa.org.au/content_providers/la-trobe-university-statistics-consultancy-platform The La Trobe University Statistics Consultancy Platform enables and accelerates research programs by providing statistical advice about research methods, experimental design and data analysis for projects. The services available to industry collaborators, researchers and Graduate Research students include: * statistical analysis of data. * statistical support for grant applications. * guidance on designing a study, survey or questionnaire. * advice on data collection methods. * training in a particular area of statistics. * advice on how to model statistical data. * access to specialist statistical software. * help with communicating statistical findings. For further information about the Statistics Consultancy Platform, please contact: Statistics.Consultancy@latrobe.edu.au /system/content_providers/images/000/000/014/original/Stats_mug.jpg?1637808130
  • The Australian Characterisation Commons at Scale (ACCS) Project

    ImagingTools: helping researchers find and access digital characterisation resources, including...

    0 upcoming event (15 past event)
    The Australian Characterisation Commons at Scale (ACCS) Project https://dresa.org.au/content_providers/the-australian-characterisation-commons-at-scale-accs-project ImagingTools: helping researchers find and access digital characterisation resources, including online environments, computing facilities, data, training and events. /system/content_providers/images/000/000/016/original/Minimal_Modern_Elegant_Background_Technology_Youtube_Thumbnail_%285%29.png?1671146621
  • Open Ecoacoustics

    A Planet RDC project, the vision of Open Ecoacoustics is to enable open science and conservation...

    6 training material
    Open Ecoacoustics https://dresa.org.au/content_providers/open-ecoacoustics A Planet RDC project, the vision of Open Ecoacoustics is to enable open science and conservation through the development and promotion of open access ecoacoustics technologies, methodologies and standards. We provide a dedicated ecoacoustics platform that is open to everyone, so that it can aggregate and share data, analyses and tools, and interoperate with downstream services. We support FAIR data by developing standardised metadata and third party analyses by moving to flexible workflow technologies (PBS, docker). We accelerate data analysis by publishing a shared repository of annotated datasets and recognisers. We interface to other systems, including TERN, ALA, EcoCommons and citizen science sites, through services and shared tools. /system/content_providers/images/000/000/035/original/Open_Ecoacoustics_logo.png?1712032933