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Found 101 result(s)
The Community Coordinated Modeling Center (CCMC) is a multi-agency partnership based at the NASA Goddard Space Flight Center in Greenbelt, Maryland and a component of the National Space Weather Program. The CCMC provides, to the international research community, access to modern space science simulations. In addition, the CCMC supports the transition to space weather operations of modern space research models.
The Pennsieve platform is a cloud-based scientific data management platform focused on integrating complex datasets, fostering collaboration and publishing scientific data according to all FAIR principles of data sharing. The platform is developed to enable individual labs, consortiums, or inter-institutional projects to manage, share and curate data in a secure cloud-based environment and to integrate complex metadata associated with scientific files into a high-quality interconnected data ecosystem. The platform is used as the backend for a number of public repositories including the NIH SPARC Portal and Pennsieve Discover repositories. It supports flexible metadata schemas and a large number of scientific file-formats and modalities.
The British Oceanographic Data Centre (BODC) is a national facility for looking after and distributing data concerning the marine environmentWe deal with biological, chemical, physical and geophysical data, and our databases contain measurements of nearly 22,000 different variables. Many of our staff have direct experience of marine data collection and analysis. They work alongside information technology specialists to ensure that data are documented and stored for current and future use.
DataON is Korea's National Research Data Platform. It provides integrated search of metadata for KISTI's research data and domestic and international research data and links to raw data. DataON allows users (researchers, policy makers, etc.) to perform the following tasks: Easily search for various types of research data in all scientific fields. By registering research results, research data can be posted and cited. Build a community among researchers and enable collaborative research. It provides a data analysis environment that allows one-stop analysis of discovered research data.
British Antarctic Survey (BAS) has, for over 60 years, undertaken the majority of Britain's scientific research on and around the Antarctic continent. Atmospheric, biosphere, cryosphere, geosphere, hydrosphere, and Sun-Earth interactions metadata and data are available. Geographic information and collections are highlighted as well. Information and mapping services include a Discovery Metadata System, Data Access System, the Antarctic Digital Database (ADD), Geophysics Data Portal (BAS-GDP), ICEMAR, a fossil database, and the Antarctic Plant Database.
Chemical Entities of Biological Interest (ChEBI) is a freely available dictionary of 'small molecular entities'. The term 'molecular entity' encompasses any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms (either deliberately, as for drugs, or unintentionally', as for chemicals in the environment). The qualifier 'small' implies the exclusion of entities directly encoded by the genome, and thus as a rule nucleic acids, proteins and peptides derived from proteins by cleavage are not included.
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The Trøndelag Health Study (The HUNT Study) is one of the largest health studies ever performed. It is a unique database of questionnaire data, clinical measurements and samples from a county’s inhabitants from 1984 onwards. The HUNT Study is well-known in the county of Trøndelag, and its inhabitants have a generally positive attitude to participation and health research resulting from the study. HUNT has high participation rates, providing a good base for further health surveys in the county and an excellent research environment. Today, HUNT Research Centre has a database with information on 230,000 people. Approximately 300 national and international research projects are currently using the samples and data from HUNTs collection.
GLOBE (Global Collaboration Engine) is an online collaborative environment that enables land change researchers to share, compare and integrate local and regional studies with global data to assess the global relevance of their work.
U.S. IOOS is a vital tool for tracking, predicting, managing, and adapting to changes in our ocean, coastal and Great Lakes environment. A primary focus of U.S. IOOS is integration of, and expedited access to, ocean observation data for improved decision making. The Data Management and Communication (DMAC) subsystem of U.S. IOOS serves as a central mechanism for integrating all existing and projected data sources.
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In addition to the common documentation methods of cylinder seals by rolled impression and photography, this collection also offers 3D-models and digital impressions. The 3D-scans can be performed without impacting the objects, thus reducing the risks. This method allows even the most fragile of seals to be documented, including those too delicate to be used for a rolled impression. These scans offer a true-to-scale reproduction of the seals.
D-PLACE contains cultural, linguistic, environmental and geographic information for over 1400 human ‘societies’. A ‘society’ in D-PLACE represents a group of people in a particular locality, who often share a language and cultural identity. All cultural descriptions are tagged with the date to which they refer and with the ethnographic sources that provided the descriptions. The majority of the cultural descriptions in D-PLACE are based on ethnographic work carried out in the 19th and early-20th centuries (pre-1950).
MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (originally known as EOS AM-1) and Aqua (originally known as EOS PM-1) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.
The Maize Genetics and Genomics Database focuses on collecting data related to the crop plant and model organism Zea mays. The project's goals are to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models. MaizeGDB also aims to make the Maize Newsletter available, and provide support services to the community of maize researchers. MaizeGDB is working with the Schnable lab, the Panzea project, The Genome Reference Consortium, and iPlant Collaborative to create a plan for archiving, dessiminating, visualizing, and analyzing diversity data. MMaizeGDB is short for Maize Genetics/Genomics Database. It is a USDA/ARS funded project to integrate the data found in MaizeDB and ZmDB into a single schema, develop an effective interface to access this data, and develop additional tools to make data analysis easier. Our goal in the long term is a true next-generation online maize database.aize genetics and genomics database.
SuperDARN is an international HF radar network designed to measure global-scale magnetospheric convection by observing plasma motion in the Earth’s upper atmosphere. This network consists of more than 20 radars operating on frequencies between 8 and 20 MHz that look into the polar regions of Earth. These radars can measure the position and velocity of charged particles in our ionosphere, the highest layer of the Earth's atmosphere, and provide scientists with information regarding Earth's interaction with the space environment.
Brainlife promotes engagement and education in reproducible neuroscience. We do this by providing an online platform where users can publish code (Apps), Data, and make it "alive" by integragrate various HPC and cloud computing resources to run those Apps. Brainlife also provide mechanisms to publish all research assets associated with a scientific project (data and analyses) embedded in a cloud computing environment and referenced by a single digital-object-identifier (DOI). The platform is unique because of its focus on supporting scientific reproducibility beyond open code and open data, by providing fundamental smart mechanisms for what we refer to as “Open Services.”
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The Economics & Business Data Center (EBDC) is a combined platform for empirical research in business administration and economics of the Ludwig–Maximilian University of Munich (LMU) and the Ifo Institute and aims at opening new fields for empirical research in business administration and economics. In this regard, the EBDC provides innovative datasets of German companies, containing both survey data of the Ifo Institute as well as external balance sheet data. Therefore, the tasks of the EBDC also include the procurement and administration of data sources for research and teaching, the central provision, updating and documentation of external databases, as well as the acquisition of corresponding support tools. Beyond that, the EBDC serves as a contact and central coordinator on licensing economic firm-level datasets for LMU’s Munich School of Management and LMU’s Department of Economics and supports researchers and guests of the LMU and the Ifo Institute on site. In the future, it will also conduct academic conferences on research with company data.
The ADS is an accredited digital repository for heritage data that supports research, learning and teaching with freely available, high quality and dependable digital resources by preserving and disseminating digital data in the long term. The ADS also promotes good practice in the use of digital data, provides technical advice to the heritage community, and supports the deployment of digital technologies.
The CZO Multiscale TROPIcal CatchmentS (M-TROPICS) consists in the merging, in 2016, of two previously-existing CZOs: BVET (India and Cameroon) and MSEC (Laos and Vietnam). The CZO Multiscale TROPIcal CatchmentS (M-TROPICS) provides the international scientific community with unique decennial time series of meteorological, hydrological, geochemical, and ecological variables in tropical environments. The CZO M-TROPICS involves academic and governmental partners in tropical countries (Cameroun, India, Lao PDR, and Vietnam) and is included in the Research Infrastructure OZCAR, the French contribution to the international CZO initiative.
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APID Interactomes is a database that provides a comprehensive collection of protein interactomes for more than 400 organisms based in the integration of known experimentally validated protein-protein physical interactions (PPIs). Construction of the interactomes is done with a methodological approach to report quality levels and coverage over the proteomes for each organism included. In this way, APID provides interactomes from specific organisms that in 25 cases have more than 500 proteins. As a whole APID includes a comprehensive compendium of 90,379 distinct proteins and 678,441 singular interactions. The analytical and integrative effort done in APID unifies PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. In this way, 8,388 structures have been analyzed to find specific protein-protein interactions reported with details of their molecular interfaces. APID also includes a new data visualization web-tool that allows the construction of sub-interactomes using query lists of proteins of interest and the visual exploration of the corresponding networks, including an interactive selection of the properties of the interactions (i.e. the reliability of the "edges" in the network) and an interactive mapping of the functional environment of the proteins (i.e. the functional annotations of the "nodes" in the network).
<<<!!!<<< The demand for high-value environmental data and information has dramatically increased in recent years. To improve our ability to meet that demand, NOAA’s former three data centers—the National Climatic Data Center, the National Geophysical Data Center, and the National Oceanographic Data Center, which includes the National Coastal Data Development Center—have merged into the National Centers for Environmental Information (NCEI). >>>!!!>>> The National Oceanographic Data Center includes the National Coastal Data Development Center (NCDDC) and the NOAA Central Library, which are integrated to provide access to the world's most comprehensive sources of marine environmental data and information. NODC maintains and updates a national ocean archive with environmental data acquired from domestic and foreign activities and produces products and research from these data which help monitor global environmental changes. These data include physical, biological and chemical measurements derived from in situ oceanographic observations, satellite remote sensing of the oceans, and ocean model simulations.
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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.
SCISAT, also known as the Atmospheric Chemistry Experiment (ACE), is a Canadian Space Agency small satellite mission for remote sensing of the Earth's atmosphere using solar occultation. The satellite was launched on 12 August 2003 and continues to function perfectly. The primary mission goal is to improve our understanding of the chemical and dynamical processes that control the distribution of ozone in the stratosphere and upper troposphere, particularly in the Arctic. The high precision and accuracy of solar occultation makes SCISAT useful for monitoring changes in atmospheric composition and the validation of other satellite instruments. The satellite carries two instruments. A high resolution (0.02 cm-¹) infrared Fourier transform spectrometer (FTS) operating from 2 to 13 microns (750-4400 cm-¹) is measuring the vertical distribution of trace gases, particles and temperature. This provides vertical profiles of atmospheric constituents including essentially all of the major species associated with ozone chemistry. Aerosols and clouds are monitored using the extinction of solar radiation at 1.02 and 0.525 microns as measured by two filtered imagers. The vertical resolution of the FTS is about 3-4 km from the cloud tops up to about 150 km. Peter Bernath of the University of Waterloo is the principal investigator. A dual optical spectrograph called MAESTRO (Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation) covers the 400-1030 nm spectral region and measures primarily ozone, nitrogen dioxide and aerosol/cloud extinction. It has a vertical resolution of about 1-2 km. Tom McElroy of Environment and Climate Change Canada is the principal investigator. ACE data are freely available from the University of Waterloo website. SCISAT was designated an ESA Third Party Mission in 2005. ACE data are freely available through an ESA portal.
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The National High Energy Physics Science Data Center (NHEPSDC) is a repository for high-energy physics. In 2019, it was designated as a scientific data center at the national level by the Ministry of Science and Technology of China (MOST). NHEPSDC is constructed and operated by the Institute of High Energy Physics (IHEP) of the Chinese Academy of Sciences (CAS). NHEPSDC consists of a main data center in Beijing, a branch center in Guangdong-Hong Kong-Macao Greater Bay Area, and a branch center in Huairou District of Beijing. The mission of NHEPSDC is to provide the services of data collection, archiving, long-term preservation, access and sharing, software tools, and data analysis. The services of NHEPSDC are mainly for high-energy physics and related scientific research activities. The data collected can be roughly divided into the following two categories: one is the raw data from large scientific facilities, and the other is data generated from general scientific and technological projects (usually supported by government funding), hereafter referred to as generic data. More than 70 people work in NHEPSDC now, with 18 in high-energy physics, 17 in computer science, 15 in software engineering, 20 in data management and some other operation engineers. NHEPSDC is equipped with a hierarchical storage system, high-performance computing power, high bandwidth domestic and international network links, and a professional service support system. In the past three years, the average data increment is about 10 PB per year. By integrating data resources with the IT environment, a state-of-art data process platform is provided to users for scientific research, the volume of data accessed every year is more than 400 PB with more than 10 million visits.
The main goal of the ECCAD project is to provide scientific and policy users with datasets of surface emissions of atmospheric compounds, and ancillary data, i.e. data required to estimate or quantify surface emissions. The supply of ancillary data - such as maps of population density, maps of fires spots, burnt areas, land cover - could help improve and encourage the development of new emissions datasets. ECCAD offers: Access to global and regional emission inventories and ancillary data, in a standardized format Quick visualization of emission and ancillary data Rationalization of the use of input data in algorithms or emission models Analysis and comparison of emissions datasets and ancillary data Tools for the evaluation of emissions and ancillary data ECCAD is a dynamical and interactive database, providing the most up to date datasets including data used within ongoing projects. Users are welcome to add their own datasets, or have their regional masks included in order to use ECCAD tools.