E-Science, short for electronic science, refers to the use of computational tools and digital technologies to facilitate scientific research and collaboration. It encompasses a wide range of activities, including data gathering, sharing, analysis, and visualization, leveraging the internet and advanced computing technologies to transcend traditional scientific practices. Key aspects of e-Science include: 1. **Data Management**: E-Science emphasizes the generation, storage, and sharing of large volumes of data.
AMPRNet, also known as the Amateur Radio Network, is a network that utilizes the Internet Protocol over amateur radio frequencies. Specifically, it is a part of the amateur radio community that employs an IP address space designated for amateur radio operators to facilitate digital communications over radio waves. AMPRNet operates under the authority of the amateur radio licensing and regulatory bodies, allowing licensed amateur operators to use a specific block of IP addresses (44.0.0.0/8) for networking purposes.
The Collaborative Computing Project for NMR, often abbreviated as CCPN, is an initiative aimed at providing a collaborative environment for researchers and scientists working with nuclear magnetic resonance (NMR) spectroscopy. NMR is a powerful analytical technique used primarily in chemistry, biochemistry, and structural biology to determine the structure of molecules. CCPN focuses on developing and maintaining software tools that facilitate the analysis, visualization, and interpretation of NMR data.
Cyberinfrastructure refers to an integrated framework of technology, people, and processes designed to support advanced research and education. It encompasses computational resources, data storage systems, networks, software, and the skilled personnel that together enable effective data analysis, simulation, collaboration, and knowledge sharing across various disciplines. Key components of cyberinfrastructure typically include: 1. **Computational Resources**: High-performance computing (HPC) systems, cloud computing services, and other computational tools that facilitate complex calculations and simulations.
D4Science, or the "Data for Science" initiative, is a collaborative platform that aims to facilitate the sharing, integration, and analysis of scientific data across various disciplines and research communities. It provides tools and services that support data management, processing, and analysis, allowing researchers to work with large datasets more efficiently. The platform often emphasizes open science and the importance of making scientific data accessible to the broader community, thereby fostering collaboration and innovation.
As of my last knowledge update in October 2021, "Discovery Net" could refer to a range of things depending on the context, including: 1. **Media Network**: It may refer specifically to networks operated by Discovery, Inc., known for television channels like Discovery Channel, Animal Planet, and others that focus on documentary-style programming and reality shows related to nature, science, and exploration.
Duckling is an open-source natural language processing (NLP) tool created by Facebook, primarily used for parsing and understanding natural language input, particularly for tasks like entity recognition. It is designed to extract structured information from unstructured text, such as identifying dates, times, quantities, and other meaningful entities within sentences. Duckling supports multiple languages and is often used in conjunction with chatbots and conversational interfaces to improve the understanding of user input.
E-social science, or electronic social science, refers to the use of digital technologies and methodologies to conduct research in the social sciences. It encompasses a wide range of practices that leverage electronic tools, data, and platforms to enhance the study, analysis, and dissemination of social science research. Key components of e-social science include: 1. **Data Collection and Management**: Utilizing online surveys, social media data, and big data analytics to gather large-scale data on social behaviors, trends, and phenomena.
The GCube system typically refers to a type of technology or software used in various applications, but the specific context can vary. In many instances, "GCube" can refer to a framework or platform for managing and analyzing big data, cloud computing, or as a part of a specific software suite related to resource management, simulation, or modeling. One well-known example is the GCube system developed for the management of renewable energy resources and related data.
GridPP is a project that plays a vital role in the UK’s participation in the international Large Hadron Collider (LHC) research community, specifically within the context of grid computing. It focuses on providing the necessary computing resources, data storage, and infrastructure to support particle physics experiments, particularly those conducted at CERN.
ICME stands for Integrated Computational Materials Engineering, which is a field that focuses on the development and application of computational methods and tools to analyze and predict material behavior across multiple scales, from atomic to macroscopic levels. The concept of ICME cyberinfrastructure encompasses the computational resources, tools, software, and data management practices that facilitate research and development in this area.
iPlant Collaborative, now known as CyVerse, is an initiative designed to provide researchers in the life sciences with cyberinfrastructure to facilitate data management, analysis, and collaboration. Launched in 2008, the project aims to support scientific research by offering cloud-based computational resources, data storage, and tools for the management and sharing of biological data, particularly in the fields of genomics and other biological studies.
LHC@home is a distributed computing project designed to support the Large Hadron Collider (LHC) at CERN, the European Organization for Nuclear Research. The project allows volunteers to use the idle processing power of their personal computers to help simulate and analyze data related to particle physics experiments conducted at the LHC. By running simulations on their own machines, participants contribute to the understanding of fundamental physics, including the behavior of subatomic particles and the conditions of the early universe.
The Large Hadron Collider (LHC) is the world's largest and most powerful particle accelerator, located at CERN (the European Organization for Nuclear Research) near Geneva, Switzerland. It spans a circumference of about 27 kilometers (approximately 17 miles) and is situated underground. The LHC is designed to collide protons and heavy ions at very high energies, enabling physicists to explore fundamental questions about the nature of matter, the forces of the universe, and the basic building blocks of existence.
e-Science infrastructures refer to the advanced digital frameworks and resources that support scientific research through the use of computing and information technologies. These infrastructures facilitate collaboration, data sharing, and various computational tasks across disciplines. Below is a list of notable e-Science infrastructures: 1. **GRID Computing** - **Open Science Grid (OSG)**: A resource for scientific research that provides a distributed computing environment.
MATHUSLA (Massive Absence of THresholL for Ultra-stable particles) is a proposed experiment designed to search for very light, long-lived particles that might be produced at high-energy particle colliders like the Large Hadron Collider (LHC). These particles could be candidates for dark matter or other new physics beyond the Standard Model.
The National Center for Supercomputing Applications (NCSA) is a research center located at the University of Illinois at Urbana-Champaign. It was established in 1986 and is one of the leading institutions in the field of supercomputing and high-performance computing (HPC) in the United States. NCSA plays a significant role in advancing computational science and engineering by providing researchers with access to state-of-the-art supercomputing resources, data storage, and visualization tools.
The National Grid Service (NGS) typically refers to a service that provides access to the National Grid, which is a network for transmitting and distributing electrical power. In various contexts, the term may also relate to different functionalities associated with the energy grid, including monitoring, data collection, and control of the electricity supply system. In the UK, the National Grid is primarily responsible for balancing supply and demand across the electricity network, ensuring a reliable and efficient flow of electricity from generators to consumers.
The National Institute for Environmental eScience (NIES) is an organization that focuses on enhancing the understanding and management of environmental issues through the integration of data, technology, and science. NIES typically aims to provide resources, tools, and methodologies for environmental research and education, often emphasizing the use of e-science, which involves using computational and data-intensive approaches to address environmental challenges.
The Network for Earthquake Engineering Simulation (NEES) was a multi-faceted initiative funded by the National Science Foundation (NSF) in the United States, aimed at enhancing the understanding of earthquake behavior and reducing risk through advanced research infrastructure. Established in the early 2000s, NEES integrated experimental and computational research to better understand the impact of earthquakes on structures and infrastructure.
Online engineering refers to the integration of engineering principles and methodologies with digital technologies to facilitate design, analysis, and testing processes conducted over the internet or through online platforms. This approach allows engineers to collaborate, share data, and work on projects remotely, leveraging tools such as cloud computing, simulation software, and collaborative platforms. Key aspects of online engineering include: 1. **Remote Collaboration**: Engineers can work together from different geographical locations, sharing resources and insights in real-time.
The Pittsburgh Supercomputing Center (PSC) is a research facility located in Pittsburgh, Pennsylvania, that specializes in high-performance computing (HPC), data analytics, and advanced scientific research. Established in 1986 as a collaborative effort between Carnegie Mellon University, the University of Pittsburgh, and the National Science Foundation, the PSC has played a pivotal role in providing computational resources and expertise to researchers across various fields, such as biology, physics, engineering, and social sciences.
SIRCA, which stands for the **Securities Industry Research Centre of Asia-Pacific**, is a research organization that focuses on advancing knowledge and understanding in the areas of finance, particularly in relation to the securities markets in the Asia-Pacific region. Established in 1997, SIRCA provides various services, including access to financial databases, analytics tools, market research, and educational resources.
The San Diego Supercomputer Center (SDSC) is a research facility located at the University of California, San Diego (UCSD) that provides high-performance computing, data analysis, and advanced computational resources to researchers, scientists, and engineers. Established in 1985, SDSC plays a crucial role in advancing scientific research across various disciplines, including biology, climate science, engineering, and physics, among others.
Tony Hey is a prominent figure in the fields of computing and academia, particularly known for his contributions to high-performance computing (HPC). He has held positions in various institutions, including being involved with the University of Southampton and serving as the Vice President of Microsoft's Research Connections. Hey's work often focuses on the intersection of computer science and scientific research, promoting the use of computational techniques in various scientific domains.
The Worldwide LHC Computing Grid (WLCG) is a global collaboration designed to provide the computing resources, data storage, and data access needed to process and analyze the enormous amounts of data generated by the Large Hadron Collider (LHC) experiments at CERN (the European Organization for Nuclear Research). The LHC produces vast quantities of data from high-energy particle collisions, with the goal of advancing our understanding of fundamental physics, including the search for new particles and exploration of the fundamental forces of nature.
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