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Found 103 result(s)
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EGO examines 500 years of modern European history by transcending national, disciplinary and methodological boundaries. Ten thematic threads tie together processes of intercultural exchange whose influence extended beyond national and cultural borders. These range from religion, politics, science and law to art and music, as well as to the economy, technology and the military. EGO employs the newest research to present European transfer processes comprehensively in a way that is easy to understand. The articles link to images, sources, statistics, animated and interactive maps, and audio and visual clips. EGO thereby takes full advantage of the Internet's multi-media potential.
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. It is used by students, educators, and researchers all over the world as a primary source of machine learning data sets. As an indication of the impact of the archive, it has been cited over 1000 times.
The DesignSafe Data Depot Repository (DDR) is the platform for curation and publication of datasets generated in the course of natural hazards research. The DDR is an open access data repository that enables data producers to safely store, share, organize, and describe research data, towards permanent publication, distribution, and impact evaluation. The DDR allows data consumers to discover, search for, access, and reuse published data in an effort to accelerate research discovery. It is a component of the DesignSafe cyberinfrastructure, which represents a comprehensive research environment that provides cloud-based tools to manage, analyze, curate, and publish critical data for research to understand the impacts of natural hazards. DesignSafe is part of the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI), and aligns with its mission to provide the natural hazards research community with open access, shared-use scholarship, education, and community resources aimed at supporting civil and social infrastructure prior to, during, and following natural disasters. It serves a broad national and international audience of natural hazard researchers (both engineers and social scientists), students, practitioners, policy makers, as well as the general public. It has been in operation since 2016, and also provides access to legacy data dating from about 2005. These legacy data were generated as part of the NSF-supported Network for Earthquake Engineering Simulation (NEES), a predecessor to NHERI. Legacy data and metadata belonging to NEES were transferred to the DDR for continuous preservation and access.
The European Social Survey (the ESS) is a biennial multi-country survey covering over 30 nations. The first round was fielded in 2002/2003, the fifth in 2010/2011. The questionnaire includes two main sections, each consisting of approximately 120 items; a 'core' module which remains relatively constant from round to round, plus two or more 'rotating' modules, repeated at intervals. The core module aims to monitor change and continuity in a wide range of social variables, including media use; social and public trust; political interest and participation; socio-political orientations; governance and efficacy; moral; political and social values; social exclusion, national, ethnic and religious allegiances; well-being; health and security; human values; demographics and socio-economics
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 changing demographic composition has expanded the scope of the U.S. racial and ethnic mosaic. As a result, interest and research on race and ethnicity has become more complex and expansive. RCMD seeks to assist in the public dissemination and preservation of quality data to generate more "good science" for years to come. Finally, RCMD wants to be part of an interactive community of persons interested and be involved in minority related issues/investigations in order to make possible the broadest scope of research endeavors and examinations.
The United Nations Data (UND) site provides access to 32 databases and over 60million records. UN Statistical Databases include datasets on Energy Statistics, International Finances, The State of the World’s Children, and World Contraceptive Use; among many other global social, environmental and economic subjects.
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.
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.
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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.
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The CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre has managed marine data for Australia's government research organisation for over 30 years. They have an enduring archive of marine and climate research data, and regularly publish data (including physical, chemical, bathymetric and biological data) collected on board RV Investigator as part of the Marine National Facility. Data from the MNF is freely and publicly available.
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The City of Burnaby maintains a wide range of data. As part of our commitment to engagement, transparency and accountability, we want to share our data with you. Please explore this site and use Burnaby’s data to analyze information, build apps, combine open datasets using maps, develop new web and mobile applications, and to meet your specific data needs. Together, using open data, we’ll make our great community even better!
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The purpose of the Canadian Urban Data Repository (CUDR) is to provide a “home” for urban datasets. While primarily focused on datasets created by academe, it will also contain datasets created by NGOs, governments, citizens, and industry. Datasets stored in the repository will be open-access and will not contain personally identifiable information. The purpose of the Canadian Urban Data Catalogue (CUDC) is to enhance the awareness of urban datasets that exist across Canada by providing a catalogue of Canadian and Canadian-created urban datasets. It will catalogue datasets available in CUDR and external datasets available on other platforms and as web services. These external datasets may be open or closed. CUDC uses a rich metadata model that supports the documentation and search for datasets relevant to a user’s needs. Catalogue entry metadata may be exported and imported from/to CUDC.
figshare is the RDM system at the University. It is a cloud-based data repository that supports multiple file formats. Research data in the form of datasets, code, audio, images and more can be disseminated via the University's figshare. Citations can be traced for datasets (not just the final research output/article) and analytics will show who is looking at our research data around the world. figshare enables researchers to store research data in a secure way. The system is user-friendly, with easy access, and shareable with colleagues and collaborators on research projects. Where appropriate it enables researchers to make research data openly accessible.
ASTM International, formerly known as the American Society for Testing and Materials (ASTM), is a globally recognized leader in the development and delivery of international voluntary consensus standards. Today, some 12,000 ASTM standards are used around the world to improve product quality, enhance safety, facilitate market access and trade, and build consumer confidence.
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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).
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The vision of the JaLTER is to provide scientific knowledge which contributes to conservation, advancement and sustainability of environment, ecosystem services, productivity and biodiversity for a society by conducting long-term and interdisciplinary research in ecological science including human dimensions. The JaLTER is closely linked with the International Long-Term Ecological Research Network (ILTER Network).
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.