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Found 106 result(s)
The UCD Digital Library is a platform for exploring cultural heritage, engaging with digital scholarship, and accessing research data. The UCD Digital Library allows you to search, browse and explore a growing collection of historical materials, photographs, art, interviews, letters, and other exciting content, that have been digitised and made freely available.
Database of mass spectra of known, unknown and provisionally identified substances. MassBank is the first public repository of mass spectral data for sharing them among scientific research community. MassBank data are useful for the chemical identification and structure elucidation of chemical compounds detected by mass spectrometry.
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The National Tibetan Plateau/Third Pole Environment Data Center (TPDC) is one of a first group of 20 national data centers approved by the Ministry of Science and Technology of China in 2019. It possesses the most comprehensive scientific data on the Tibetan Plateau and surrounding regions of any data centers in China. TPDC provides online and offline data download services according to TPDC data Sharing Protocol with bilingual of Chinese and English (https://data.tpdc.ac.cn/). There are more than 2400 datasets, covering geography, atmospheric science, cryospheric science, hydrology, ecology, geology, geophysics, natural resource science, social economy, and other fields. There are more than 30000 registered users. TPDC complies with the principle of “Findable, Accessible, Interoperable, and Reusable (FAIR)”, and has adopted a series of measures to protect the intellectual property by giving credit to data providers. Digital Object Identifiers (DOI) are used for scientific data access, tracking, and citation. The Creative Commons 4.0 protocol is used for data re-distribution and re-use. Data users are required to cite the datasets and provide necessary acknowledgement in order to give credit to data authors as journal papers. The data citation references are provided on the TPDC landing page of each dataset.
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DataStream is an open access platform for sharing information on freshwater health. It currently allows users to access, visualize, and download full water quality datasets collected by Indigenous Nations, community groups, researchers and governments throughout five regional hubs: Atlantic Canada, the Great Lakes and Saint Lawrence region, the Lake Winnipeg Basin, the Mackenzie River Basin and the Pacific region. DataStream was developed by The Gordon Foundation and is carried out in collaboration with regional monitoring networks.
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)
The EarthEnv project is a collaborative project of biodiversity scientists and remote sensing experts to develop near-global standardized, 1km resolution layers for monitoring and modeling biodiversity, ecosystems, and climate. The work is supported by NCEAS, NASA, NSF, and Yale University.
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The eAtlas is a website, mapping system and set of data visualisation tools for presenting research data in an accessible form that promotes greater use of this information. The eAtlas will serve as the primary data and knowledge repository for all NERP Tropical Ecosystems Hub projects, which focus on the on the Great Barrier Reef, Wet Tropics rainforest and Torres Strait. The eAtlas will capture and record research outcomes and make them available to research-users in a timely, readily accessible manner. It will host meta-data records and provide an enduring repository for raw data. It will also develop and host web visualisations to view information using a simple and intuitive interface. This will assist scientists with data discovery and allow environmental managers to access and investigate research data.
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The Climate Change Centre Austria - Data Centre provides the central national archive for climate data and information. The data made accessible includes observation and measurement data, scenario data, quantitative and qualitative data, as well as the measurement data and findings of research projects.
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Through our decades of hydrological and ecological practices and the activities on the waterways of the German Federal a valuable inventory of hydrological information has emerged in the stuck our experience and knowledge base. Almost all environmental information have a direct or indirect spatial reference. This inventory of spatial data continues to grow. He is both the basis and results of our scientific work. With GGInA, the hydrological Geographical Information and Analysis System of BfG, you can research yourself in this inventory. Much of the information and data is accessed directly on the Metadata Catalog Search and specialist applications. The Geoportal also opens up databases of our partners in the transport and environment. At the same selected data can also be integrated into other environmental portals.
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
SLAPIS is an integrated Flood Early Warning System that aims to promote decision-making and behavioral changes from reactive to proactive at several levels, from the community to the administration, for the reduction of flood risk in the Communes of the Sirba (main tributary of the Niger River and cause of the main floods in the region)
The U.S. Antarctic Program Data Center (USAP-DC) provides the central Project Catalog for projects funded by the NSF for the U.S. Antarctic Program and Data Repository for multi-disciplinary investigator research datasets derived from these projects. Services provided support investigators in documenting, preserving, and disseminating their research results. All data are openly accessible to the international community for browse, search, and data download. Datasets are registered in the Antarctic Master Directory to comply with the Antarctic Treaty.
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National Aquatic Biological Resource Center (NABRC), established in June 2019, is a member of National Science and Technology Resource Platform supported by the Ministry of Science and Technology and the Ministry of Finance. The NABRC consists of 6 sub-platforms. In summary, these six sub-platforms have reached leading levels at home and abroad in terms of the resource richness, the resource digitization, as well as the amount and quality of resource services. Right now, these platforms are in strong support of basic biology, basic medicine, aquatic economics, water environmental protection and other areas in China. It is an essential way to practice the "Great Yangtze River Protection" and promote the construction of ecological civilization in the Yangtze River. In the future, the platforms will further integrate different types of resources, optimize the resource configuration and improve the service systems, so as to build a high standard resource sharing platform on a global scale and promote international communication and cooperation.
US Department of Energy’s Atmospheric Radiation Measurement (ARM) Data Center is a long-term archive and distribution facility for various ground-based, aerial and model data products in support of atmospheric and climate research. ARM facility currently operates over 400 instruments at various observatories (https://www.arm.gov/capabilities/observatories/). ARM Data Center (ADC) Archive currently holds over 11,000 data products with a total holding of over 3 petabytes of data that dates back to 1993, these include data from instruments, value added products, model outputs, field campaign and PI contributed data. The data center archive also includes data collected by ARM from related program (e.g., external data such as NASA satellite).
Remote Sensing Systems is a world leader in processing and analyzing microwave data from satellite microwave sensors. We specialize in algorithm development, instrument calibration, ocean product development, and product validation. We have worked with more than 30 satellite microwave radiometer, sounder, and scatterometer instruments over the past 40 years. Currently, we operationally produce satellite retrievals for SSMIS, AMSR2, WindSat, and ASCAT. The geophysical retrievals obtained from these sensors are made available in near-real-time (NRT) to the global scientific community and general public via FTP and this web site.
<<<!!!<<< 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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The Institute of Ocean Sciences (IOS)/Ocean Sciences Division (OSD) data archive contains the holdings of oceanographic data generated by the IOS and other agencies and laboratories, including the Institute of Oceanography at the University of British Columbia and the Pacific Biological Station. The contents include data from B.C. coastal waters and inlets, B.C. continental shelf waters, open ocean North Pacific waters, Beaufort Sea and the Arctic Archipelago.
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The COSYNA observatory measures key physical, sedimentary, geochemical and biological parameters at high temporal resolution in the water column and at the sediment and atmospheric boundaries. COSYNA delivers spatial representation through a set of fixed and moving platforms, like tidal flats poles, FerryBoxes, gliders, ship surveys, towed devices, remote sensing, etc.. New technologies like underwater nodes, benthic landers and automated sensors for water biogeochemical parameters are further developed and tested. A great variety of parameters is measured and processed, stored, analyzed, assimilated into models and visualized.
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The Ocean Date and Information System provides information on physical, chemical, biological and geological parameters of ocean and coasts on spatial and temporal domains that is vital for both research and operational oceanography. In-situ and remote sensing data are included. The Ocean Information Bank is supported by the data received from Ocean Observing Systems in the Indian Ocean (both the in-situ platforms and satellites) as well as by a chain of Marine Data Centres. Ocean and coastal measurements are available. Data products are accessible through various portals on the site and are largely available by data type (in situ or remote sensing) and then by parameter.
The National Weather Service, Fairbanks provides weather data relating to and observed in the Fairbanks, AK area. Data includes current, past, and future weather. Databases are organized primarily by the type of data (e.g. weather data, climate data, hydrology, warning/hazard alerts) and then are searchable by research location.
When published in 2005, the Millennium Run was the largest ever simulation of the formation of structure within the ΛCDM cosmology. It uses 10(10) particles to follow the dark matter distribution in a cubic region 500h(−1)Mpc on a side, and has a spatial resolution of 5h−1kpc. Application of simplified modelling techniques to the stored output of this calculation allows the formation and evolution of the ~10(7) galaxies more luminous than the Small Magellanic Cloud to be simulated for a variety of assumptions about the detailed physics involved. As part of the activities of the German Astrophysical Virtual Observatory we have created relational databases to store the detailed assembly histories both of all the haloes and subhaloes resolved by the simulation, and of all the galaxies that form within these structures for two independent models of the galaxy formation physics. We have implemented a Structured Query Language (SQL) server on these databases. This allows easy access to many properties of the galaxies and halos, as well as to the spatial and temporal relations between them. Information is output in table format compatible with standard Virtual Observatory tools. With this announcement (from 1/8/2006) we are making these structures fully accessible to all users. Interested scientists can learn SQL and test queries on a small, openly accessible version of the Millennium Run (with volume 1/512 that of the full simulation). They can then request accounts to run similar queries on the databases for the full simulations. In 2008 and 2012 the simulations were repeated.
The Cornell Center for Social Sciences (CCSS) houses an extensive collection of research data files in the social sciences with particular emphasis on data that matches the interests of Cornell University researchers. CCSS intentionally uses a broad definition of social sciences in recognition of the interdisciplinary nature of Cornell research. CCSS collects and maintains digital research data files in the social sciences, with a current emphasis on Cornell-based social science research, Results Reproduction packages, and potentially at-risk datasets. Our archive historically has focused on a broad range of social science data, including data on demography, economics and labor, political and social behavior, family life, and health. You can search our holdings or browse studies by subject area.
The Marine Geoscience Data System (MGDS) is a trusted data repository that provides free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor. Developed and operated by domain scientists and technical specialists with deep knowledge about the creation, analysis and scientific interpretation of marine geoscience data, the system makes available a digital library of data files described by a rich curated metadata catalog. MGDS provides tools and services for the discovery and download of data collected throughout the global oceans. Primary data types are geophysical field data including active source seismic data, potential field, bathymetry, sidescan sonar, near-bottom imagery, other seafloor senor data as well as a diverse array of processed data and interpreted data products (e.g. seismic interpretations, microseismicity catalogs, geologic maps and interpretations, photomosaics and visualizations). Our data resources support scientists working broadly on solid earth science problems ranging from mid-ocean ridge, subduction zone and hotspot processes, to geohazards, continental margin evolution, sediment transport at glaciated and unglaciated margins.
Alaska Ocean Observing System (AOOS) provides ocean and coastal observations data. The AOOS is governed by the Integrated Ocean Observing System (IOOS) which is a partnership among federal, regional, academic and private sector groups. The Ocean Data Explorer contains scientific and management information including real-time sensor feeds, operational oceanographic and atmospheric models, satellite observations and GIS data sets that describe the biological, chemical and physical characteristics of Alaska and its surrounding waters. This map offers many new updated features that build upon the existing data system.