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Found 222 result(s)
The National Collaborative on Childhood Obesity Research (NCCOR) brings together four of the nation's leading research funders — the Centers for Disease Control and Prevention (CDC), the National Institutes of Health (NIH), the Robert Wood Johnson Foundation (RWJF), and the U.S. Department of Agriculture (USDA) — to address the problem of childhood obesity in America. The Tools of the NCCOR are: Catalogue of Surveillance Systems, Measures Registry and Registry of Studies.
Spitzer is the final mission in NASA's Great Observatories Program - a family of four orbiting observatories, each observing the Universe in a different kind of light (visible, gamma rays, X-rays, and infrared). Spitzer is also a part of NASA's Astronomical Search for Origins Program, designed to provide information which will help us understand our cosmic roots, and how galaxies, stars and planets develop and form.
OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.
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SAMD is a repository for Standardized Atmospheric Measurement Data: Central Europe is a region with one of the most comprehensive networks for cloud and precipitation observations worldwide. To unify these observations, establish the infrastructure to store it and make it accessible to the research community is the goal of SAMD. SAMD is one result of the project "High Definition of Clouds and Precipitation in advancing Climate Prediction" (HD(CP)²).
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.
Eurostat is the statistical office of the European Union situated in Luxembourg. Its task is to provide the European Union with statistics at European level that enable comparisons between countries and regions. Eurostat offers a whole range of important and interesting data that governments, businesses, the education sector, journalists and the public can use for their work and daily life.
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The CRC806-Database platform is the Research Data Management infrastructure of the SFB / CRC 806. The infrastructure is implemented using Open Source software, and implements Open Science, Open Access and Open Data principles. The Collaborative Research Centre (CRC; ‘Sonderforschungsbereich’ or SFB) is designed to capture the complex nature of chronology, regional structure, climatic, environmental and socio-cultural contexts of major intercontinental and transcontinental events of dispersal of Modern Man from Africa to Western Eurasia, and particularly to Europe (Cited from introductory text on: www.sfb806.de).
Alzforum is an independent research project to develop an online community resource to manage scientific knowledge, information, and data about Alzheimer disease (AD).
The National Vegetation Survey (NVS) Databank is a physical archive and electronic databank containing records of over 121,000 vegetation survey plots - including data from over 25,000 permanent plots in New Zealand. The data can be explored online and requested for download. The NVS Databank provides data spanning more than 60 years of indigenous and exotic plant plot records from throughout New Zealand's terrestrial ecosystems. The physical archive includes plot sheets, maps, and photographs from many years of vegetation surveys. Purpose-built software for entering, validating and summarising data is available. NVS is accorded the status of a Nationally Significant database and upkeep and maintenance is supported by Core funding for Crown Research Institutes from the NZ Ministry of Business, Innovation and Employment.
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.
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<<<!!!<<< ----This page has been archived on the Web--- >>>!!!>>> Environment and Climate Change Canada collects biological samples from a number of lakes and rivers across Canada in support of federally mandated programs. Environment and Climate Change Canada has collected fish and invertebrates from the Great Lakes since 1977 in support of the Great Lakes Water Quality Agreement (GLWQA). More recently, samples have been collected nationally to support Canada's Chemicals Management Plan and the Clean Air Regulatory Agenda. Environment and Climate Change Canada also maintains a specimen bank of frozen tissues which is a requirement of the GLWQA and is an integral part of departmental monitoring and research programs. The National Aquatic Biological Specimen Bank (NABSB) is located in a dedicated facility at the Canada Centre for Inland Waters in Burlington, Ontario. The NABSB holds more than 37,000 samples of fish and invertebrates collected over the last 30+ years of environmental monitoring in Canada. Research conducted using samples from the NABSB has produced more than 60 scientific publications, reports and book chapters
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The NIRD Research Data Archive is a repository that provides long-term storage for research data and is compliant with the Open Archival Information System (OAIS) reference model . The aim of the archive is to provide (public) access to published research data and to promote cross-disciplinary studies. The NIRD Research Data Archive (NIRD Archive) is in full production. The NIRD Archive will operate on a “subject to approval” basis and will accept any type of research data from Norwegian academically funded projects that is no longer considered proprietary.
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The geophysical database, GERDA, is a strong tool for data storage, handling and QC. Data are uploaded to and downloaded from the GERDA database through this website. GERDA is the Danish national database on shallow geophysical data. Since its establishment in 1998-2000, the database has been continuously developed. The database is hosted by the Geological Survey of Denmark and Greenland (GEUS).
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Australian Waterbird Surveys (AWS) is an information source of waterbird communities around Australia, based on surveys of their diversity and numbers. It relies on rigorous data collection protocols and includes more than 50 waterbird species and up to 30 years of survey data. This open source also includes the extent of flooding of thousands of wetlands observed during our surveys. As a group, waterbirds can be sentinels of the ecological health of our wetlands and rivers. We hope this free information system will help track long-term changes in the environment, provide an assessment tool for individual species, report on our national and international responsibilities and help improve the way we manage our rivers and wetlands. It has been developed with the support of research and government partners.
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Fairdata IDA is a research data storage service that provides secure storage for research data. The Fairdata services are a group of nationally developed Finnish ICT services for managing research data, especially in the later phases of the research life cycle (sharing, publishing, and preserving). Development of research data management infrastructure has been identified as an important step in enabling implementation of the FAIR principles. The Fairdata services are funded by the Finnish Ministry of Education and Culture, and developed and maintained by CSC IT Center for Science. The services consist of the following service components: IDA – Research Data Storage; Etsin – Research Data Finder; Qvain – Research Dataset Metadata Tool; Metax – Metadata Warehouse; AVAA – Dynamic Data Publishing Platform and the Digital Preservation Service for Research Data (including management and packaging). The services also provide means for applying for and granting permits to use restricted access datasets. The service is offered free of charge for its users. The services are available to the research community in accordance with the applicable usage policy. Minedu offers access to research data storage service IDA to Finnish higher education institutions, state research institutes and projects funded by the Academy of Finland. Minedu may also grant separate access or storage capacity to the service. Finnish higher education institutions and research institutes may distribute IDA storage capacity to actors within the Finnish research system, within the limits of their usage shares. The service is intended for storing research data and materials related to it. The data stored in the service is available to all project users. The users mark their data to be persistently stored (“Frozen”) in the service. All project members may make the “Frozen” data and related metadata publicly accessible by using the other aforementioned Fairdata services. The data in the service is stored in Finland. IDA service stores the data stored by organisations projects continuously or until it’s transferred to digital preservation, provided that the Terms of Use are met. The owners of the data decide on the openness and usage policies for their own data. User organisations are offered support and guidance on using the service.
<<<!!!<<< 2020-08-28; the repository is no longer available >>>!!!>>> The South African Data Archive promotes and facilitates the sharing of research data and related documentation of computerised raw quantitative data of large scale regional, national and international research projects mainly in the humanities and social sciences. It makes these datasets available to the research community for further analysis, comparative studies, longitudinal studies, teaching and decision-making purposes.
HydroShare is a system operated by The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that enables users to share and publish data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner. HydroShare includes a repository for data and models, and tools (web apps) that can act on content in HydroShare providing users with a gateway to high performance computing and computing in the cloud. With HydroShare you can: share data and models with colleagues; manage access to shared content; share, access, visualize, and manipulate a broad set of hydrologic data types and models; publish data and models and obtain a citable digital object identifier (DOI); aggregate resources into collections; discover and access data and models published by others; use the web services application programming interface (API) to programmatically access resources; and use integrated web applications to visualize, analyze and run models with data in HydroShare.
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The nature of the ‘Bridge of Data’ project is to design and build a platform that allows collecting, searching, analyzing and sharing open research data and to provide it with unique data collected from the three most important Pomeranian universities: Gdańsk University of Technology, Medical University of Gdańsk and the University of Gdańsk. These data will be made available free of charge to the scientific community, entrepreneurs and the public. A bridge will be built to allow reuse of Open Research Data. The available research data will be described by standards developed by dedicated, experienced scientific teams. The metadata will allow other external computer systems to interpret the collected data. ORD descriptions will also include data reuse or reduction scenarios to facilitate further processing.
CARIBIC is an innovative scientific project to study and monitor important chemical and physical processes in the Earth´s atmosphere. Detailed and extensive measurements are made during long distance flights. We deploy an airfreight container with automated scientific apparatus which are connected to an air and particle (aerosol) inlet underneath the aircraft. We use an Airbus A340-600 from Lufthansa since December 2004.
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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.
UNAVCO promotes research by providing access to data that our community of geodetic scientists uses for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. After processing, these data enable millimeter-scale surface motion detection and monitoring at discrete points, and high-resolution strain imagery over areas of tens of square meters to hundreds of square kilometers. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.