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Found 42 result(s)
The Wilson Center Digital Archive contains once-secret documents from governments all across the globe, uncovering new sources and providing fresh insights into the history of international relations and diplomacy. It contains newly declassified historical materials from archives around the world—much of it in translation and including diplomatic cables, high level correspondence, meeting minutes and more. It collects the research of three Wilson Center projects which focus on the interrelated histories of the Cold War, Korea, and Nuclear Proliferation.
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SMU Research Data Repository (SMU RDR) is a tool and service for researchers from Singapore Management University (SMU) to store, share and publish their research data. SMU RDR accepts a wide range of research data and outputs generated from research projects.
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This platform aims to realize data storage, data management, data analysis, data sharing and data citation traceability of various data sets in the field of Humanities and Social Sciences of East China Normal University.
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Risklayer Explorer is a collaboration between Risklayer GmbH and the Karlsruhe Institute of Technology's Center for Disaster Risk Management and Risk Reduction Technology (CEDIM). This website is still under development, but we are going live with it already, because we want to present data on the Novel Coronavirus (COVID-19) to help inform the public of the current situation. You will be able to track disaster events and read about our analysis here. Our work is a continuation of a new style of disaster research started by CEDIM in 2011 to analyze disasters immediately after their occurrence, assess the impacts, and retrace the temporal development of disaster events. We are already analyzing damaging earthquakes globally, providing you with event characteristics, earthquake's intensity footprints, as well as the population affected by earthquakes. In addition to earthquake events, we expect to be tracking and analyzing tropical cyclone, volcano and extreme weather events in 2020.
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The majority of the CIS research activity focuses on carrying out public opinion surveys. These surveys include electoral studies, its monthly public opinion barometers, monographic studies on different aspects of Spanish society and the surveys resulting from CIS involvement in international projects. All the surveys the CIS takes are deposited in its Data Bank, and they are available to the public once the quality control, verification, anonymisation, codification and information uploading tasks have been concluded. In addition to its surveys, the CIS also collects information about Spanish society through qualitative research studies: Fundamentally, discussion groups and in-depth interviews.
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Spectrum, Concordia University's open access research repository, provides access to and preserves research created at Concordia. By depositing in Spectrum, Concordia scholars provide free and immediate access to their work and thus increase the visibility of both their own research and their university's intellectual output. Open access leads to the increased research profile and impact of scholars by bringing about greater levels of readership and citation of their publications.
The University research data repository – BathSPAdata – enables staff to upload their research data into a secure space, and to share this data publicly where appropriate, or where funders or publishers require this as part of their conditions. Resources and toolkits for external use can be made available through this forum, and can be used by Schools, policy makers, business and industry, and the cultural sector.
The American National Election Studies (ANES) conducts national surveys and pilot studies and provides large, multifaceted datasets. Time Series Studies are conducted during years of national elections, with pre-election and post-election surveys conducted in presidential election years and post-election surveys conducted during congressional election years. Pilot Studies are normally conducted in years when there is no national election and are designed to test new, or to refine existing, instrumentation and study designs. Other Major Data Collections includes panel studies and other special studies.
The National Archives is home to millions of historical documents, known as records, which were created and collected by UK central government departments and major courts of law. Data of the fomer National Digital Archive of Datasets (NDAD) collection, which was active from 1997 to 2010 and preserves and provides online access to archived digital datasets and documents from UK central government departments, is integrated. Access to records held by The National Archives and more than 2,500 other archives.
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions. The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
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This data archive of experiments studying the dynamics of pedestrians is build up by the Institute for Advanced Simulation 7: Civil Safety Research of Forschungszentrum Jülich. The landing page provides our own data of experiments. Data of research colleagues are listed within the data archive at https://ped.fz-juelich.de/extda For most of the experiments, the video recordings, as well as the resulting trajectories of single pedestrians, are available. The experiments were performed under laboratory conditions to focus on the influence of a single variable. You are very welcome to use our data for further research, as long as you name the source of the data. If you have further questions feel free to contact Maik Boltes.
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The objective of the PDRC is to construct and collect a well-designed and large-scale panel data set and provide rigorous empirical studies based on these data sets. The data will enable us (i) to provide international comparisons and fact-findings on the household income changes, social mobility, changes in employment status and the investment activities; (ii) to verify the hypotheses related to the dynamics of economic behavior derived from economic theory; and (iii) to evaluate important policy changes in the tax system and social security program, which might have lagged effects.
Discovery is the digital repository of research, and related activities, undertaken at the University of Dundee. The content held in Discovery is varied and ranges from traditional research outputs such as peer-reviewed articles and conference papers, books, chapters and post-graduate research theses and data to records for artefacts, exhibitions, multimedia and software. Where possible Discovery provides full-text access to a version of the research. Discovery is the data catalogue for datasets resulting from research undertaken at the University of Dundee and in some instances the publisher of research data.
Stats NZ (Statistics New Zealand) collects data about New Zealand’s environment, economy and society. The information helps government, local councils, Māori, businesses, communities, researchers and the public to measure, and make decisions about such things as: where we need roads, schools and hospitals, environmental progress, our quality of life, how families are doing, where to locate a business, and what products to sell. The Statistics New Zealand Data Archive is a central repository for all the important statistical datasets and associated documentation, metadata and publications that Statistics New Zealand produces. It also acts as a safe repository for datasets produced by other government agencies and government funded statistical studies. The key difference between the Statistics New Zealand Data Archive and other digital archives is that it contains primarily statistical data at unit record level. The unit record data is archived when it is no longer in regular use by its producer.
<<<!!!<<< The repository is no longer available. 2018-11-20; COMPASS used to be provided and available at FORS but is no longer supported. >>>!!!>>>