TERN's Siddeswara Guru presents on the Australian Ecosystem Science Cloud, which will provide the ecosystem science community improved access to shared data, tools, platforms and computing resources.
Unlocking the geospatial potential of survey datatomensom
Paper on a JISC-funded project based at the UK Data Archive, as presented at the GISRUK 2012 conference, Lancaster University. The project set out to better enable the use of Archive datasets in GIS, primarily by addressing metadata and quality issues of geospatial identifiers.
How to use NCI's national repository of big spatial data collectionsARDC
This document provides an overview of how to access spatial data collections through the National Computational Infrastructure (NCI). It describes NCI's data catalog that contains various climate, satellite, and other geoscience datasets. The document outlines how users can browse the catalog, search for specific collections like CMIP5, and view metadata. It also explains that datasets are stored on NCI's global filesystems and made available through data services like THREDDS, which provides OPeNDAP, WMS, WCS, and other access methods. Users can find datasets, view them visually through Godiva, or download files through these services.
Drones in the Earth Sciences - Opportunities and issuesARDC
Tim Rawling – AuScope, our vision and the National Research Infrastructure investment landscape
Steven Micklethwaite – Opportunity for application of drones in the Earth Sciences, technology and issues
This document discusses the eMAST project which aims to deliver a research data infrastructure integrating various data streams to enable ecosystem model optimization through data assimilation. It provides high-resolution climate and canopy conductance data and tools for interpolation, downscaling, and data assimilation. Key goals are understanding the carbon, water, climate change impacts on land management. Driving science questions focus on these areas plus fire risk, climate feedbacks, and biodiversity. The tools and data are shared through various online portals and computational resources to advance ecosystem science.
The document describes the Atmospheric Science Data Center (ASDC) and its pilot project to utilize Geographic Information Systems (GIS) to increase accessibility of earth science data. The ASDC archives over 2 petabytes of data from 42 science projects, distributing 590 terabytes in 2012 to over 142,000 customers. Its goals for the Esri pilot include overcoming challenges of using HDF and NetCDF files in GIS, strengthening partnerships, and facilitating easier discovery and greater use of ASDC data holdings through various portals. The pilot aims to allow ASDC to reach new user communities and enhance capabilities for current customers.
Metadata Standards in CKAN for Biodiversity Pilot in NextGEOSSplan4all
This document discusses a pilot project to demonstrate the value of a European data hub for creating remote sensing-derived essential biodiversity variables (RS-EBVs) and linking key policy groups to space agencies. The pilot will populate the NextGEOSS data hub with existing and new RS-EBVs. It identifies available RS-EBV products like species occurrence, land cover, fire occurrence, and phenology from satellites like MODIS, SPOT, and Sentinel-2. The study areas are in the Netherlands and Bavaria Forest National Park in Germany. Standard metadata schemas like DublinCore, GeoDCAT, and ISO 19115 will be used to describe the raw data, modeling process, and map outputs of the RS-
Global Receive Antenna and Signal Processor (GRASP) is a facility being developed to recover terrestrial radio frequency data using the International Space Station. GRASP will consist of an antenna and signal processing system mounted on the ISS to simultaneously receive signals from VHF to X-band. The processed data will be downlinked and distributed to users for applications such as asset monitoring, agriculture, shipping, and more. GRASP is intended to increase access to terrestrial RF signals and open up projects not currently feasible due to limited satellite access. Development will be completed in late 2017.
Eastern Panhandle GIS Users Group Meeting held on 14 September 2016 in Martinsburg, WV. Presenters Kathryn Wesson & Margaret Markham, Chesapeake Conservancy
Poster describing the Terra Populus project, the data that is being delivered, the partners and funding sources, and a brief overview of how to get data.
Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...lleonardSlideShare
This document discusses using cloud computing to enable data-intensive hydrologic modeling. The goals are to rapidly prototype watershed models anywhere using large national datasets, perform real-time forecasting and analysis, and make models and software accessible via web services. Challenges include the computational intensity of modeling large datasets and distributing complex workflows. The proposed strategy is to develop a PIHM (Pennsylvania Integrated Hydrologic Model) cloud prototype distributing model components and workflows over cloud resources for research and education. This would allow processing large datasets, calibrating models by running hundreds of simulations in parallel, and making models and results accessible online.
Human: Thank you, that is a concise 3 sentence summary that captures the key points of
This document discusses ÆKOS, a new paradigm for discovering and accessing complex ecological data. ÆKOS aims to integrate diverse ecological data sources that are currently fragmented and stored in many locations and formats. It does this through data transformation tools, indexing tools, and an ontology model to provide a common framework for the data. This allows users to discover ecological data and extract relevant datasets for their research through a centralized portal. ÆKOS has indexed over 100,000 sites and its online tools are now available for users to search, discover, and access integrated ecological data.
This document provides an overview of AURIN, a federated network of data and research hubs that empowers research into the built environment. It describes AURIN's data portal and analytics tools and shares case studies demonstrating how AURIN has supported academic and government research projects across multiple scales from the neighborhood to metropolitan and national levels by providing open access to authoritative datasets and analytical capabilities.
The document discusses AusCover, which provides remote sensing datasets and products for the Terrestrial Ecosystem Research Network (TERN). It outlines AusCover's strategic vision to provide a nationally consistent, long-term time series of satellite images and biophysical map products. It describes AusCover's approach to distributed data storage, metadata standards, and tools for data discovery, visualization, subsetting and access. Key goals are to make data discoverable and accessible via open standards and multiple access pathways.
Remote sensing of biophysical parameters: linking field, airborne and contine...TERN Australia
The document discusses the Australian Supersites Network (ASN) and AusCover program for collecting field, airborne, and satellite data on biophysical parameters across Australia. AusCover establishes consistent field sites and collects ground measurements of vegetation structure and composition to validate satellite-derived maps of persistent green vegetation cover. Airborne lidar and hyperspectral data are also collected and compared to Landsat imagery and field data. The goal is to link multi-scale data to further ecosystem monitoring and understanding of productivity, biomass, and vegetation change over time. National collaborations support ongoing data collection and research using the unique datasets.
NCRIS supports approximately 40,000 users each year through 27 facilities across 9 focus areas of research including advanced physics, complex biology, digital data and eResearch platforms. Virtual Laboratories are domain-oriented online environments that draw together research data, models, analysis tools and workflows to support collaborative research across institutional and discipline boundaries in domains such as astronomy, climate, ecology, economics, geosciences, humanities, life sciences, marine and social sciences. The document provides links to data aggregators including the Knowledge Network, Trove, and Research Data Australia.
This document describes a geospatial modeling tool developed to retrieve climate data from large climate model databases in an efficient manner. The tool integrates R programming with ArcGIS to subset and extract grid point data for specific study areas from netCDF climate model files. It was tested on CORDEX climate model data and found to accurately obtain grid points, providing a less tedious method than manual retrieval. The tool allows climate data to be efficiently obtained and prepared as model inputs.
AusCover is a national program that produces standardized remote sensing data products for Australian environments from satellite, airborne, and field data. It has multiple nodes around Australia that focus on different data products and research. AusCover provides remote sensing data, tools, and expertise to support studies of landcover, vegetation structure, fire dynamics, and other environmental monitoring applications.
Apha - David Fouracre - Asian Hornet - Bee PreparedEsri UK
The document describes a spatial model developed by the Animal and Plant Health Agency (APHA) to simulate the potential spread and response to the Asian hornet, an invasive species, in the UK. The Asian hornet is a threat to bee populations and agriculture. The two-tiered model simulates the hornet's lifecycle and spread based on habitat suitability as well as a response element to simulate human detection and eradication efforts. The model can provide the probability of control from different initial introduction points and will help inform contingency planning to prevent establishment of the Asian hornet in the UK. Further validation and user testing is still needed before the model is finalized.
This document discusses using theoretical modelling of bird activity and behavior to assess the potential impacts of wind farm development on bird populations. It describes a model developed by Atmos Consulting to predict bird activity levels and transit times within wind farm airspace based on nest locations and species-specific ranging behavior. The model has been used successfully in several wind farm development cases to substitute for observed activity levels where survey data was limited, allowing projects to reduce survey requirements and receive approval while demonstrating low risk to bird populations. The modelling approach is also being expanded to incorporate habitat suitability.
The document summarizes discussions from Day 2 of the 2011 TERN Symposium. It describes presentations on TERN facility portals and 2010 Round 2 funding projects. It also summarizes discussions on TERN's role in environmental data collection, storage and distribution. The vision for TERN portals is to establish long-term ecosystem science as a priority, encourage long-term data management practices, and develop a network of long-term researchers. Strategies include promoting open access to data and developing robust cyberinfrastructure. The proposed portal architecture includes facility-specific and TERN-wide portals using common standards. Status updates indicate prototypes from four facilities with the TERN portal prototype available in late 2011.
The AusPlots Facility aims to establish a national network of biodiversity monitoring plots across Australian ecosystems to collect baseline ecological data. Over 1,000 permanent plots will be located in the rangelands and forests using a stratified sampling approach based on bioregional groupings. Standardized surveys of vegetation and soils will be conducted at each plot to increase understanding of species distributions, threats, and carbon/nutrient cycles while also validating remote sensing. Engagement with state agencies and the broader ecological community is emphasized to integrate monitoring efforts and disseminate findings.
Indigenous Land Management - Dean YibarbukTERN Australia
Dean Yibarbuk, a Traditional Owner and Senior Ranger from Northern Territory, Australia, spoke at an Indigenous Land Management panel session hosted by TERN. He discussed what Indigenous people contribute to land management through their skills, knowledge, and working together. He noted challenges like under-resourced support organizations and unequal funding distribution. Yibarbuk suggested ways TERN could help through building trust, strengthening on-ground capacity and resources, and operating under cultural requirements. He emphasized the importance of mentorship, trust, regular interactions, and capacity building to enable working together in a way that recognizes Indigenous ways of doing things and opportunities for youth.
Supersite field survey protocol developmentTERN Australia
The presentation provides an overview of the Australian Supersite Network and development of survey protocol. The presentation is part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
TERN Australian Transect Network ATBC 2014TERN Australia
Alan Anderson of the Terrestrial Ecosystem Research Network (TERN) presenting on the Australian Transect Network at the 51st meeting of the Association for Tropical Biology and Conservation in Cairns in July 2014.
The National Ecological Observatory Network (NEON) will deploy thousands of sensors across the United States to study ecological change. NEON will establish core sites across 20 ecoclimatic domains to collect standardized long-term data on climate, hydrology, soils, vegetation, and aquatic and terrestrial wildlife. Sensors will include phenocams to monitor plant phenology. Data will be made freely available through the NEON data portal to enable scientists to understand ecological responses to climate change, land use change, and invasive species at a continental scale.
Matt Bradford_Error and precision in rainforest biomass estimationsTERN Australia
This document discusses error and accuracy in estimating above ground biomass (AGB) in rainforests. It provides AGB estimates for various rainforest locations ranging from 55 to 552 Mg/ha. Estimating AGB is challenging due to high plant diversity, large numbers of small trees, and variability in wood density and tree architecture between species. The document examines how measurement error, algorithm suitability, plot size, and accounting for understory biomass can impact AGB estimation accuracy. It presents data from a 25ha rainforest plot in Robson Creek that found high variability between hectares and subplots in estimated AGB. Larger plot sizes were shown to improve AGB estimation accuracy.
Professor Andrew Lowe poses the question 'How can we help biodiversity adapt to the ravages of climate change?'. Andrew is the director of the Australian Centre of Evolutionary Biology and Biodiversity at the University of Adelaide, to find out more about the Centre and its many research activities visit http://www.adelaide.edu.au/environment/acebb/.
Invasive species are the top issue facing managers of natural lands, including landfill buffer lands that are just as much the responsibility of landfills to manage. The webinar will provide cost-effective and ecological solutions for controlling invasive species on landfill properties through speakers from Applied Ecological Services and the Wisconsin DNR.
David Lindenmayer_Successful delivery of critical ecosystem research infrastr...TERN Australia
The document discusses the Long Term Ecological Research Network (LTERN) in Australia, which integrates established plot networks across the country to study the impacts of disturbance on ecosystems over decadal timescales. The LTERN provides long-term data collection from plots measuring flora, fauna, and processes. This infrastructure allows researchers to develop understanding of ecosystem functions and quantify relationships between vegetation and disturbance regimes like fire, grazing, and climate change. The value of LTERN is that it provides empirical data over long periods to test theories, support modeling, and inform evidence-based policy through collaborative research.
Alan Andersen_Subcontinental-scale transects for assessing and monitoring eco...TERN Australia
The document describes the Australian Transect Network (ATN), a continental-scale ecological monitoring program consisting of several transects across Australia. The ATN aims to understand how ecosystems respond to environmental gradients and disturbances like climate change. One of the transects is the Northern Australian Tropical Transect (NATT), which runs 1500 km from Darwin to Tennant Creek across the savanna biome. The NATT monitors tree growth rates along the rainfall gradient and has established long-term tree plots and flux towers to study how the ecosystem responds to fire and other disturbances under climate change.
Dan Metcalfe_Long-term monitoring of tropical rainforests of eastern AustraliaTERN Australia
Long-term monitoring of tropical rainforests in eastern Australia has provided key insights into the maintenance of biodiversity, role of natural disturbances, and dynamics of vertebrate populations over decades. This research has informed management of invasive species and climate change scenarios. While only covering 0.2% of Australia, these rainforests harbor significant biodiversity and are culturally important. Ongoing threats include fragmentation, weeds, feral animals, and climate change. Long-term local investment in monitoring is critical to understanding community change over time.
Satellite phenology is the study of recurring biological phases visible from satellites, such as budbreak, flowering, fruiting, and color changes. It examines the timing of these phases in relation to biotic and abiotic factors. Phenophases refer to recurring plant and animal life cycle stages like growth stages, breeding, and hibernation. Satellite data can be used to monitor phenophases over large spatial areas at regular intervals.
This document summarizes the validation of phenology products from the AusCover Phenocam Network. The network uses tower-mounted cameras to capture plant phenology and validate satellite-derived phenology. Comparisons between camera and MODIS satellite data show correlations between greenness indices. The network aims to improve understanding of seasonal vegetation dynamics and carbon/water fluxes at flux tower sites across Australia.
Ian Grant_An improved satellite-based long record of Australian vegetation dy...TERN Australia
This document discusses improvements made to satellite-based NDVI records of Australian vegetation from AVHRR data. Specifically, it summarizes:
1) The Bureau of Meteorology's AusCover project which applied atmospheric correction to Australia's AVHRR archive for the first time, improving spatial and temporal consistency.
2) Additional calibration and cloud masking improvements made through AusCover Phase 2.
3) How these improved NDVI records can be used for agricultural assessment, drought monitoring, hydrological modeling, carbon accounting, and other national monitoring systems.
Estimación de superficie zafra 2013-2014Miguel Rivera
El documento describe la estimación de la superficie sembrada de caña de azúcar en México para la zafra 2013-2014, realizada mediante la interpretación de imágenes satelitales de alta resolución. Se estimó un área total de 836,832 hectáreas cultivadas con caña de azúcar en el país, distribuidas en diferentes regiones cañeras. El estudio proporciona información sobre la superficie cultivada por región y estado, con el objetivo de facilitar el seguimiento y desarrollo sostenible del cultivo de la caña
Foundations and methods of stochastic simulationSpringer
This chapter introduces a VBA simulation of the TTF example from Chapter 1 as a first step toward more sophisticated simulation programming. It presents the key concepts of discrete-event simulation programming without using specialized simulation functions. The chapter focuses on the TTF simulation program, explaining the global variables, event routines, timer routine, and main program. It also provides an overview of important simulation concepts like random variate generation using the inverse transform method and random number generation.
IPRES 2014 paper presentation: significant environment information for LTDPFabio Corubolo
This document discusses significant environment information (SEI) needed to ensure long-term usability of digital objects. SEI is defined as relationships between a digital object and related environment information, qualified by purpose and weights. A tool called the Pericles Extraction Tool collects SEI by monitoring digital object usage. An experiment uses the tool to record environment, events, and inferred documentation when resolving anomalies in spacecraft payload data. Future work includes improving dependency inference and defining significance weights.
Australia's Environmental Predictive CapabilityTERN Australia
Federating world-leading research, data and technical capabilities to create Australia’s National Environmental Prediction System (NEPS).
Community consultation presentation.
3-12 February 2020
Dr Michelle Barker (Facilitator)
(Presentation v5)
This slide is prepared for the sole purpose of filling up the survey .
All images were taken from google, and information from eresearchSA.edu.au
Survey Link : http://tinyurl.com/c2uoarm (google docs)
As the volume and complexity of data from myriad Earth Observing platforms, both remote sensing and in-situ increases so does the demand for access to both data and information products from these data. The audience no longer is restricted to an investigator team with specialist science credentials. Non-specialist users from scientists from other disciplines, science-literate public, to teachers, to the general public and decision makers want access. What prevents them from this access to resources? It is the very complexity and specialist developed data formats, data set organizations and specialist terminology. What can be done in response? We must shift the burden from the user to the data provider. To achieve this our developed data infrastructures are likely to need greater degrees of internal code and data structure complexity to achieve (relatively) simpler end-user complexity. Evidence from numerous technical and consumer markets supports this scenario. We will cover the elements of modern data environments, what the new use cases are and how we can respond to them.
High Performance Data Analytics and a Java Grande Run TimeGeoffrey Fox
There is perhaps a broad consensus as to important issues in practical parallel computing as applied to large scale simulations; this is reflected in supercomputer architectures, algorithms, libraries, languages, compilers and best practice for application development.
However the same is not so true for data intensive even though commercially clouds devote many more resources to data analytics than supercomputers devote to simulations.
Here we use a sample of over 50 big data applications to identify characteristics of data intensive applications and to deduce needed runtime and architectures.
We propose a big data version of the famous Berkeley dwarfs and NAS parallel benchmarks.
Our analysis builds on the Apache software stack that is well used in modern cloud computing.
We give some examples including clustering, deep-learning and multi-dimensional scaling.
One suggestion from this work is value of a high performance Java (Grande) runtime that supports simulations and big data
The document discusses sharing research data through open data platforms. It describes the CGIAR as uniquely positioned to collect agricultural data worldwide and argues that most CGIAR data should be archived and shared to increase its value. However, data archiving across CGIAR centers is currently poor. The document then discusses using the Dataverse platform to improve data sharing. Dataverse allows researchers to publish, share, cite, and analyze data. It also facilitates making data available while giving credit to data authors and institutions.
Analyzing Big Data in Medicine with Virtual Research Environments and Microse...Ola Spjuth
This document discusses analyzing big data in medicine using virtual research environments and microservices. It notes the vast amount of data being generated and challenges of data management, analysis and scaling. The European Open Science Cloud aims to enable access to shared scientific data across borders. Contemporary analysis uses high-performance computing but has limitations. Cloud computing, virtual machines, containers and microservices can help address these challenges by providing on-demand resources and decomposing functionality into independent services. The PhenoMeNal project is building a standardized e-infrastructure using these approaches to enable users to access tools and data. This improves sustainability, reliability, scalability and enables agile development and science.
Virtual research environments for implementing long tail open scienceBlue BRIDGE
This document discusses virtual research environments (VREs) for supporting "long-tail open science". It defines VREs as operational environments that dynamically aggregate resources like data, services, and computing/storage for users. VREs aim to support collaborative research, reproducibility, and open sharing of data/findings while providing simplified access. The document outlines how VREs can be created on demand, integrated with applications/services, and used for collaborative experiments and workflows to enable repeatability and reuse of research. Real-world examples of VREs like D4Science are presented.
Adoption of Cloud Computing in Scientific ResearchYehia El-khatib
Some might say the scientific research community is somewhat behind the curve of adopting the cloud. In this talk, I present a few examples of adopting the cloud from the wider research community. I also highlight some of the aspects by which cloud computing could affect scientific research in the near future and the associated challenges.
Services for the use of human data in cross-border collaborations. Presentation at ECCB 2016 confenrence. Introducing outcomes of Nordic Tryggve project.
Changing the Curation Equation: A Data Lifecycle Approach to Lowering Costs a...SEAD
This document discusses the Sustainable Environment Actionable Data (SEAD) project, which aims to lower the costs and increase the value of data curation through a data lifecycle approach. SEAD provides lightweight data services to support sustainability research, including secure project workspaces, active and social curation tools, and integrated lifecycle support for data from ingest to long-term preservation. By leveraging technologies like Web 2.0 and standards, SEAD simplifies and automates curation processes using metadata captured from data producers and users. This allows curation activities to begin earlier in the data lifecycle and be distributed across researchers and curators.
Interoperability and scalability with microservices in scienceOla Spjuth
Microservices have emerged as a modern interpretation of service-oriented architectures where processes are small and communicate over a network using lightweight protocols to fulfill a goal.
In this talk I will present our work on microservices, and how they can be used to empower interoperable and scalable analysis services and pipelines in virtual infrastructures on cloud computing resources.
I will also give examples and experiences from the PhenoMeNal H2020 project where a developer community in metabolomics is moving to such architecture.
A Method to Select e-Infrastructure Components to SustainDaniel S. Katz
This is a talk presented at International Symposium on Grids and Clouds (ISGC), Taipei, Taiwan, March 20, 2015.
Abstract:
Reusable infrastructure (systems created by one or more people and intended to be used by other people) has become essential for many types of research over the last century, from microscopes to telescopes, and from sequencers to colliders. Over the past few decades, much research infrastructure has become digital, and many new digital systems have been developed. Here we discuss e-Research infrastructure (also called cyberinfrastructure), which has been defined by Craig Stewart as consisting of “... computing systems, data storage systems, advanced instruments and data repositories, visualization environments, and people, all linked together by software and high performance networks to improve research productivity and enable breakthroughs not otherwise possible.” While the research infrastructure as a whole is important, it is useful to consider infrastructure elements as well, as they comprise the overall infrastructure. Each element has a technical context (which allows one to ask questions about its architecture, such as: How does it fit into the overall infrastructure? How does it interact with other infrastructure elements?), a social context (which allows one to ask questions about its developers, such as: Who has developed the element?, and it users, such as: Who uses the element?, and its purpose, such as: What is the intended use of the element?), and a political context (which allows one to ask questions about its funders, such as: Who funds the development and maintenance?, and about its political scope, such as: Is the element national? International?). Understanding how a particular infrastructure element can be created and sustained requires answering two pairs of questions: What resources are needed to create it, and how can those resources be assembled and applied? What resources are needed to sustain it, and how can those resources be assembled and applied? In this paper, we focus on the second half of the two questions, since the amount and type of needed resources vary with the specific element being discussed. We believe elements of e-Research infrastructure can be placed in a three-dimensional space, consisting of temporal duration, spatial extent, and purpose. Note that the number of users of a given element should be larger the farther the element is from the origin in any direction, as should the cost. These two elements (number of users and cost) can be generically called ‘scale’ in this context. Alternatively, we can attempt to map impact, rather than usage, as an element of scale. In either case, scale is thus a metric of the space, though it is not orthogonal to any of the three axes. This talk with discuss how placing potential elements in this space allows decisions to be made on which elements should be pursued.
Presentation investigating the state of FAIR practice and what is needed to turn FAIR data into reality given at the Danish FAIR conference in Copenhagen on 20th November 2018. https://vidensportal.deic.dk/en/Programme/FAIR_Toolbox_Nov2018 The presentation reflect on recent FAIR studies and international initiatives and outlines the recommendations emerging from the European Commission's FAIR Data Expert Group report - http://tinyurl.com/FAIR-EG
Synergy 2014 - Syn122 Moving Australian National Research into the CloudCitrix
The document summarizes the National Servers Project (NSP) which provides a cloud platform for hosting core services for Australian researchers. The NSP aims to provide a reliable, secure environment for researchers to host important applications so they can focus on managing their research. It highlights how the NSP was implemented including building the management stack and offering self-service features to allow researchers to control virtual machines. Several national research projects are using the NSP including IMOS, Quadrant and TERN.
Utilising Cloud Computing for Research through Infrastructure, Software and D...David Wallom
This document discusses using cloud computing for research through Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Desktop as a Service (DaaS). For IaaS, it describes the EGI Federated Cloud which provides cloud services from multiple public and private sector providers. For SaaS, it discusses Hub for managing the research lifecycle and data, and Chipster for bioinformatics analysis. For DaaS, it covers EOSCloud which provides virtual desktops for bioinformatics research through the JASMIN cloud. Overall it promotes cloud computing for enabling flexible infrastructure, services, and environments to support diverse research needs.
Why we need PIDs for Structural Biology - EOSC Symposium, Budapest, 2019Marcus Povey
This document discusses the need for persistent identifiers (PIDs) in structural biology research. It notes that structural biology projects using electron microscopes and synchrotrons produce large amounts of data from complex experiments and workflows. PIDs are needed to identify samples, experiments, datasets, software and facilitate linking metadata to improve findability, accessibility and reproducibility of the data according to FAIR principles. However, minting large quantities of PIDs in real time for structural biology projects poses challenges around metadata schemas, linking data together, and integrating existing facility solutions.
Similar to Australian Ecosystems Science Cloud (20)
This publication was endorsed by the National Soils Advocate, The Hon. Penny Wensley AC, on the 8th of December 2022 during the launch of the TERN Australia Soil & Herbarium Collection.
The publication contains the results of 33 interviews with people who, in 2022, have jobs relevant to soils. It is intended for use by secondary and tertiary students who are perhaps wondering what to study or which career might be satisfying - or maybe they have already chosen a soils-related career and are keen to learn something about others who they may meet as lecturers, coworkers or employers.
The booklet will also hopefully be a useful resource for those that assist students with such decisions, including teachers, careers counsellors, guidance officers, librarians, and parents.
TERN Australia Soil & Herbarium Collection BrochureTERN Australia
The TERN Australia Soil and Herbarium Collection contains over 150,000 vegetation and soil samples collected from over 900 sites across Australia, representing every major ecosystem. It has supported the identification of 11 golden everlasting paper daisy species, discovery of new medicines from soil compounds, and improved models of carbon sinks and forests. The collection is unique in linking samples to detailed environmental data and is used by scientists worldwide in fields like agriculture, environmental science and pharmaceutical development.
Summary of TERN monitoring plots in the Pilbara WA, Apr2015 - Jun2021TERN Australia
This report provides a snapshot of the data collected by TERN in the Pilbara, Western Australia. Also included in this report is how to access the data, descriptions of data types, panorama photos and examples of research using TERN data. Plots on the Pilbara were first surveyed by TERN from April 2015 to August 2016. The surveys collected vegetation and soil, data and samples following the AusPlots Rangelands methodology, with 37 plots completed. Some of the plots were revisted in 2021. An updated version of this report will be provided as this data becomes available.
Summary of TERN plots on Kangaroo Island, SA, Oct 2018 - Oct 2021TERN Australia
In October 2018, TERN undertook a survey on Kangaroo Island, South Australia. The survey involved vegetation and soils work following the AusPlots Rangelands methodology, with 13 plots completed. The plots are part of over 800 plots completed nationally. The plots were revisited following the fires in 2020
and again in 2021. This report will be updated as that data becomes available.
Evaluating ecological outcomes in the Regional Land Partnerships Program: A pilot monitoring, evaluation and research (MER) network.
This three-year project will trial Australia’s first MER network by implementing a pilot network – to promote national-scale learning about bushfire recovery across different ecosystem types, and the
ecological effectiveness of post-fire interventions.
Biodiversity Management in Tasmania's Temperate Native ForestsTERN Australia
Sustainable Timber Tasmania's Dr Marie Yee's entry to the ILTER Most Striking Case competition on using the research from TERN's Warra Tall Eucalypt SuperSite to facilitate innovative biodiversity management in Tasmania's temperate native forests.
Observing Environmental Change in Australia: Conversations for SustainabilityTERN Australia
A comprehensive and engaging review of how the past decade of Australian Government research infrastructure investment has transformed our understanding of the environment.
Observing Environmental Change in Australia – Conversations for Sustainability covers the monitoring of environmental change, urbanisation and land-use changes, biodiversity, extreme events, climate, carbon and water.
Chapters detail the importance of Indigenous knowledge, the use of satellite remote sensing and drones, and managing ‘big data’. The book concludes with descriptions of visualising environmental information, emerging technologies, and the importance of engaging the community.
Observing Environmental Change in Australia: Conversations for SustainabilityTERN Australia
A comprehensive and engaging review of how the past decade of Australian Government research infrastructure investment has transformed our understanding of the environment.
Observing Environmental Change in Australia – Conversations for Sustainability covers the monitoring of environmental change, urbanisation and land-use changes, biodiversity, extreme events, climate, carbon and water.
Chapters detail the importance of Indigenous knowledge, the use of satellite remote sensing and drones, and managing ‘big data’. The book concludes with descriptions of visualising environmental information, emerging technologies, and the importance of engaging the community.
Dr Michael Mirtl (ILTER Chair) presenting at the AusLTER Forum 2018TERN Australia
The document discusses the International Long Term Ecological Research Network (ILTER). It provides an overview of ILTER's activities which include coordinating key elements of environmental systems research, developing a strategic framework, and facilitating partnerships. ILTER aims to fill critical gaps in multi-site, cross-disciplinary, and conceptual long-term ecological research. It also establishes scientific initiatives and works to develop a global research infrastructure to integrate terrestrial observation networks.
Prof Bob Scholes (Wits University, South Africa) presenting at the AusLTER Fo...TERN Australia
EFTEON is South Africa's Enhanced Freshwater and Terrestrial Ecological Observation Network, a new ecological research infrastructure announced in late 2016. It will have around 6 landscapes by 2020 and use a modular, nested design across landscapes to facilitate multi-user, long-term research on biogeochemistry, hydrology, biodiversity and human-ecosystem interactions. EFTEON will establish a tiered observation platform including satellites, highly instrumented core sites, and sparsely instrumented linked sites, along with experiments and social surveys. It aims to provide answers unavailable elsewhere and leverage South Africa's comparative advantages in international research, including existing long-term manipulative experiments. Establishing and sustaining such research infrastructures
Prof Phil Robertson (Michigan State University, USA) presenting at the AusLTE...TERN Australia
The document describes three long-term ecological research networks in the United States: 1) The Long Term Ecological Research network has 28 sites across different biomes that have been funded by the NSF for 6 years each since 1980 to address long-term ecological questions. 2) The Long-Term Agroecosystem Research network has 18 agricultural sites funded by the USDA since 2012 to study sustainable agriculture. 3) The National Ecological Observatory Network has 20 primary sites across climate regions in the US funded by the NSF since 2011 to detect environmental changes over decades.
Dr Manuel Maass (National Autonomous University of Mexico) presenting at the ...TERN Australia
The document discusses long-term socioecological research and the need for a transdisciplinary approach. It provides an overview of the International Long Term Ecological Research Network (ILTER) and its focus on long-term monitoring of sites, data sharing standards, and detecting global trends. The document argues that purely interdisciplinary research is not sufficient and a transdisciplinary approach is needed where researchers work directly with different knowledge sources, including local communities, to address sustainability challenges.
Yuxia Liu Phenology 2018 poster on tracking grass phenologyTERN Australia
University of Technology Sydney Yuxia Liu's Phenology 2018 conference poster on tracking grass phenology with phenocams and remote sensing over victorian pastures.
This document describes mapping ecological facets across Australia by analyzing the key drivers of ecosystem formation - macroclimate, lithology, landform, and vegetation structural formations. 59 homogeneous bioclimatic regions were mapped based on clustering uncorrelated bioclimatic variables. Lithology and weathering intensity were derived from existing Geoscience Australia data. Landform was characterized through land surface form and topographic moisture potential indicators. Combining these ecosystem drivers with vegetation structural formations data resulted in a continental dataset of 369,439 unique ecological facets at 90m resolution. This ecological facets mapping provides insight into biophysical variation across Australian ecosystems.
TERN Ecosystem Surveillance Plots Roy Hill StationTERN Australia
A summary of TERN ecosystem observing plots on Roy Hill Station. The report also contains a list of the data and soil and plant samples openly available via TERN.
TERN Ecosystem Surveillance Plots Kakadu National ParkTERN Australia
A summary of TERN ecosystem observing plots in Kakadu National Park. The report also contains a list of the data and soil and plant samples openly available via TERN.
TERN Ecosystem Surveillance Plots South Australian Murray Darling Basin NRM R...TERN Australia
A summary of TERN ecosystem observing plots in the South Australian Murray Darling Basin NRM Region. The report also contains a list of the data and soil and plant samples openly available via TERN.
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Australian Ecosystems Science Cloud
1. TERN is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy.
Australian Ecosystems
Science Cloud
overview
Presentation by Siddeswara Guru
Director, Data Science
2. Ecosystem science
• Inter-relationship among the living organisms, physical features, bio-chemical
processes, natural phenomena, and human activities in ecological communtiies1
• Focusing on Terrestrial Ecosystem
– Terrestrial Ecosystem Research Network
– Atlas of Living Australia
• Data is heterogeneous: wide variety from different domain
– Observation (human, in-situ sensors and satellite remote sensing)
– Variety of scale: spatial and temporal
– Different data formats used in the community
3. Data Use
• Conventional data access
– Need to find data
– Access via services
– copy from source to destination for further for
large datasets
Image from internet
4. Storage and Compute
• Advent of NeCTAR and RDS
– Researchers are moving data and computation to
cloud.
– Building tools (Virtual labs, research tools and
platforms)
– However, easy accessibility of data is still an issue
• Multiple interfaces to search for data
• No clear access mechanism from different nodes
5. Goal
• Offer open data platform: harmonised cloud-enabled data
infrastructure for data interoperability with simplified service
model
• Offer compute next to data to minimise data movement
• Data accessibility to different research platforms and virtual
labs from common platform
• Offer scalable managed computing environment with access
to distributed and data-intensive computation technologies
• develop a support system for a cross-discipline use of data
6. User Stories
• As an ecosystem science continental-scale gridded data user, I wants to query a dataset, perform
spatial and temporal sub-setting of data, access and use that data from a cloud platform as a local
file so that I can work on further analyses.
• As an application developer, I need enough compute and storage for short period of time to run a
distributed large-scale data intensive application so that the output of the analyses are available in
decent amount of time.
• As a regular ecology data user, I need a easily accessible cloud compute platform with common
tools (Rstudio, Jupyter Python, NetCDF viewer, spatial data viewer, CSV file viewer) attached with
the TERN ecology and biophysical data collection so that I can build applications for analysis and
synthesis.
• As a data intensive application developer, I need a flexible approach to create and access to Hadoop
cluster so that I can distribute my computation.
• As a data user, I want an easy access to reference datasets with compute resources so that I can use
them in my analysis and research work.
• As a ecosystem data user, I want a one stop-shop to search, query and access ecosystem data and
use in my analysis so that I don't have to go through multiple portals to access and use data.
• As an application developer, I want a cloud platform to run my simulation with a local access to data
so that I don't move data around or download into my desktop.
8. Current status
• Setup a Technical Advisory Group advice on the scoping and
implementation of the project.
• In the first iteration: reference datasets will be made available
– Remote sensing reference data (fractional Cover)
– Long-term ecological monitoring data
– Climate variables
• Scoping the mediation layer and overall architecture
• Building a coalition of willing for partnership and collaboration