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9 content providers found

Keywords: Ecology  or Machine Learning  or NCRIS  or courses  or imaging  or social sciences 

  • Australian Research Data Commons (ARDC)

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

    61 training material
    8 upcoming event (145 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

  • ACSPRI

    The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a...

    0 upcoming event (60 past event)
    ACSPRI https://dresa.org.au/content_providers/acspri The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a not-for-profit organisation, broadly aimed at the promotion and enhancement of social science research and methods in Australia. Our consortium of institutional members, include universities, public sector research institutions and not-for-profits. We work to provide benefits and services to our members including: education and professional development in Social Science Research Methods and Research Technology courses. /system/content_providers/images/000/000/021/original/ACSPRI_Logo_Horizonal.jpg?1661921514

  • 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

  • EcoCommons

    A Planet RDC project, EcoCommons is building a collaborative commons that is developing...

    8 training material
    EcoCommons https://dresa.org.au/content_providers/ecocommons A Planet RDC project, EcoCommons is building a collaborative commons that is developing ecological modelling tools. It currently provides; access to point-and-click species distribution modelling (SDM) tools, projections of how those distributions might change as the climate warms, access to a variety of spatial data grids (rasters), and API connection to records from the Atlas of Living Australia. /system/content_providers/images/000/000/034/original/ecocommons-logo.png?1711521620

  • 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

  • Sonika Tyagi Lab

    Our expertise is in implementing Bioinformatics methods and machine learning models to solve...

    0 upcoming event (2 past event)
    Sonika Tyagi Lab https://dresa.org.au/content_providers/sonika-tyagi-lab Our expertise is in implementing Bioinformatics methods and machine learning models to solve biological research and clinical outcome questions. The two research focus areas for the group are: (1) Multimodal data integration for personalised medicine and (2) Integrative Genomics. /system/content_providers/images/000/000/027/original/DF0_7341.JPG?1693372847

  • Atlas of Living Australia

    The Atlas of Living Australia (ALA) is a collaborative, digital, open infrastructure that pulls...

    0 upcoming event (1 past event)
    Atlas of Living Australia https://dresa.org.au/content_providers/atlas-of-living-australia The Atlas of Living Australia (ALA) is a collaborative, digital, open infrastructure that pulls together Australian biodiversity data from multiple sources, making it accessible and reusable. The ALA helps to create a more detailed picture of Australia’s biodiversity for scientists, policymakers, environmental planners and land managers, industry and the general public and enables them to work more efficiently. The ALA is the Australian node and a full voting member of GBIF – the Global Biodiversity Information Facility – an international network and data infrastructure funded by the world’s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. /system/content_providers/images/000/000/017/original/ALA_Logo_Inline_CMYK.jpg?1652413583

  • VOSON Lab

    The Virtual Observatory for the Study of Online Networks (VOSON) Lab is located in the Research...

    1 training material
    VOSON Lab https://dresa.org.au/content_providers/voson-lab The Virtual Observatory for the Study of Online Networks (VOSON) Lab is located in the Research School of Social Sciences at The Australian National University. We are advancing the Social Science of the Internet through an innovative program of research, research tool development, teaching & research. Our funding is via the Australian Research Council (five grants to date), and a current Volkswagen Foundation (AI and Society of the Future Stream) grant led by Bielefeld University. VOSON tools have been publicly available since 2006. The current suite of VOSON R tools are available on CRAN and GitHub, with over 70K downloads to date, and are downloaded over 1K times per month. /system/content_providers/images/000/000/024/original/VOSONlab-logo.png?1664424886

  • Wildlife Insights

    Wildlife Insights is combining field and sensor expertise, cutting edge technology and advanced...

    1 training material
    Wildlife Insights https://dresa.org.au/content_providers/wildlife-insights Wildlife Insights is combining field and sensor expertise, cutting edge technology and advanced analytics to enable people everywhere to share wildlife data and better manage wildlife populations. Anyone can upload their images to the Wildlife Insights platform so that species can be automatically identified using artificial intelligence. This will save thousands of hours, freeing up more time to analyze and apply insights to conservation. By aggregating images from around the world, Wildlife Insights is providing access to the timely data we need to effectively monitor wildlife. We are creating a community where anyone can explore data from projects around the world and leverage data at scale to influence policy. Wildlife Insights provides the tools and technology to connect wildlife “big data” to decision makers. This full circle solution can help advance data-driven conservation action to reach our ultimate goal: recovering global wildlife populations. /system/content_providers/images/000/000/038/original/WI_logo_0.png?1715906285