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Found 15 result(s)
XSEDE is a single virtual system that scientists can use to interactively share computing resources, data and expertise. People around the world use these resources and services — things like supercomputers, collections of data and new tools — to improve our planet. The Extreme Science and Engineering Discovery Environment (XSEDE) is the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world. It is a single virtual system that scientists can use to interactively share computing resources, data, and expertise.
Country
J-STAGE Data is a data repository developed and managed by the Japan Science and Technology Agency (JST). J-STAGE Data supports the publication and distribution of data related to J-STAGE articles with the aim of contributing to the promotion of open science in Japan. Journals published on J-STAGE can use J-STAGE Data to publish data related to their own articles. DOI is automatically assigned to the data published in J-STAGE Data, and data is distributed worldwide as open access (anyone can access it for free, and the conditions for secondary use are clarified state), so anyone can use data under the conditions specified by the copyright holder, such as citing, sharing, and reusing.
Regionaal Archief Tilburg (RA Tilburg) is one of the four institutions of foundation Mommerskwartier and is based in Tilburg, the Netherlands. The statutory task (Public Records Act https://bit.ly/3iCTI7f) of RA Tilburg is to function as a repository for decentralized, local government organizations such as municipalities, communal schemes, and Water Authorities. RA Tilburg also manages private archives, and archives of organizations, institutes, or the public in general.
WFCC-MIRCEN World Data Centre for Microorganisms (WDCM) provides a comprehensive directory of culture collections, databases on microbes and cell lines, and the gateway to biodiversity, molecular biology and genome projects.The WFCC is a Multidisciplinary Commission of the International Union of Biological Sciences (IUBS) and a Federation within the International Union of Microbiological Societies (IUMS). The WFCC is concerned with the collection, authentication, maintenance and distribution of cultures of microorganisms and cultured cells. Its aim is to promote and support the establishment of culture collections and related services, to provide liaison and set up an information network between the collections and their users, to organise workshops and conferences, publications and newsletters and work to ensure the long term perpetuation of important collections.
The Harvard Dataverse is open to all scientific data from all disciplines worldwide. It includes the world's largest collection of social science research data. It is hosting data for projects, archives, researchers, journals, organizations, and institutions.
Content type(s)
A machine learning data repository with interactive visual analytic techniques. This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. State-of-the-art statistical techniques are combined with real-time data visualization giving the ability for researchers to seamlessly find, explore, understand, and discover key insights in a large number of public donated data sets. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner.
The projects include airborne, ground-based and ocean measurements, social science surveys, satellite data use, modelling studies and value-added product development. Therefore, the BAOBAB data portal enables to access a great amount and a large variety of data: - 250 local observation datasets, that have been collected by operational networks since 1850, long term monitoring research networks and intensive scientific campaigns; - 1350 outputs of a socio-economics questionnaire; - 60 operational satellite products and several research products; - 10 output sets of meteorological and ocean operational models and 15 of research simulations. Data documentation complies with metadata international standards, and data are delivered into standard formats. The data request interface takes full advantage of the database relational structure and enables users to elaborate multicriteria requests (period, area, property…).
Country
The Institute for Marine and Antarctic Studies (IMAS) pursues multidisciplinary and interdisciplinary work to advance understanding of temperate marine, Southern Ocean, and Antarctic environments. IMAS research is characterised as innovative, relevant, and globally distinctive. Education at IMAS delivers world class programs, resulting in highly trained graduates who serve the needs of academic institutions, industry, government, and the community. IMAS is naturally advantaged by its Southern Ocean location proximal to Antarctica, and hosts one of the world's largest critical masses of marine and Antarctic researchers. IMAS also operate facilities and host data sets of national and global interest and to the benefit of the community. The guiding framework of IMAS is that all data that are not commercial-in-confidence or restricted by legislation or agreement are owned by the University on behalf of the community or Commonwealth, are hosted by an organisation, and are shared with researchers for analysis and interpretation. IMAS is committed to the concept of Open Data. The IMAS Data Portal is an online interface showcasing the IMAS metadata catalogue and all available IMAS data. The portal aims to make IMAS data freely and openly available for the benefit of Australian marine and environmental science as a whole.
Country
To target the multidisciplinary, broad scale nature of empirical educational research in the Federal Republic of Germany, a networked research data infrastructure is required which brings together disparate services from different research data providers, delivering services to researchers in a usable, needs-oriented way. The Verbund Forschungsdaten Bildung (Educational Research Data Alliance, VFDB) therefore aims to cooperate with relevant actors from science, politics and research funding institutes to set up a powerful infrastructure for empirical educational research. This service is meant to adequately capture specific needs of the scientific communities and support empirical educational research in carrying out excellent research.
The objective of this database is to stimulate the exchange of information and the collaboration between researchers within the ChArMEx community. However, this community is not exclusive and researchers not directly involved in ChArMEx, but who wish to contribute to the achievements of ChArMEx scientific and/or educational goals are welcome to join-in. The database is a depository for all the data collected during the various projects that contribute to ChArMEx coordinated program. It aims at documenting, storing and distributing the data produced or used by the project community. However, it is also intended to host datasets that were produced outside the ChArMEx program but which are meaningful to ChArMEx scientific and/or educational goals. Any data owner who wishes to add or link his dataset to ChArMEx database is welcome to contact the database manager in order to get help and support. The ChArMEx database includes past and recent geophysical in situ observations, satellite products and model outputs. The database organizes the data management and provides data services to end-users of ChArMEx data. The database system provides a detailed description of the products and uses standardized formats whenever it is possible. It defines the access rules to the data and details the mutual rights and obligations of data providers and users (see ChArMEx data and publication policy). The database is being developed jointly by : SEDOO, OMP Toulouse , ICARE, Lille and ESPRI, IPSL Paris
So.Da.Net network, following the Social Data Bank (SDB) of the National Centre for Social Research (EKKE) that pre-existed, in a time frame of five years has been linked and closely collaborated with the european data archives. EKKE through SDB has participated to the European Consortium of Social Science Data Archives (CESSDA ERIC) since 2000. The national research network Sodanet_GR has been formed in 2012 and is consisted of the following 7 organisations: 1) National Centre for Social Research (EKKE) – Social Data Bank 2) University of the Aegean – Department of Sociology 3) National & Kapodistrian University of Athens – Department of Political Science & Public Administration 4) Panteion University – Department of Political Science & History 5) University of Peloponnese – Department of Social & Educational Policy 6) Democritus University of Trace – Department of Social Administration & Political Science 7) University of Crete – Department of Sociology . The So.Da.Net network is the Greek research infrastructure for the social sciences. So.Da.Net supports multidisciplinary research and promotes the acquisition, exchange, processing as well as dissemination of data deriving from and related to social science research.